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R: Compute Confidence Intervals for Parameters of a [ng]lmer Fit
confint.merMod {lme4} R Documentation Compute Confidence Intervals for Parameters of a [ng]lmer Fit Description Compute confidence intervals on the parameters of a *lmer() model fit (of class"merMod").
/CRAN/refmans/lme4/html/confint.merMod.html
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R: lmer.display: table for "lmerMod" or "glmerMod" object (lme4...
...lmer.display(lmerMod.obj, dec = 2, ci.ranef = F) Arguments lmerMod.obj "lmerMod" or "glmerMod" object dec Decimal, Default: 2 ci.ranef Show confidence interval of random effects?, Default: F Details...
/CRAN/refmans/jstable/html/lmer.display.html
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R: Compute confidence intervals for R-squared in multilevel...
...lmer or nlme along with bootstrap specifications and returns the upper and lower bounds of confidence intervals for all R-squared measures available in the r2mlm framework. Usage r2mlm_ci(model, nsim...
/CRAN/refmans/r2mlm/html/r2mlm_ci.html
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R: Calculate SE and CI of variance components for 'lmer',...
...returned by lmer, glmer, lme, glmmTMB. ci a logical value to indicates wheather or not to simulate a confidence interval for lmer model, the default value is TRUE. level level of confidence of CI...
/CRAN/refmans/predictmeans/html/varcomp.html
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R: Compute p-values and MCMC confidence intervals for mixed...
...MCMC confidence intervals for mixed models Description This function used to calculate p-values and HPD intervals for the parameters of models fitted with lmer. As MCMC is no longer supported by lme4...
/CRAN/refmans/languageR/html/pvals.fnc.html
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R: Multiple Comparisons Based on the Confidence Intervals
In particular, if the confidence intervals of two treatments overlap, it indicates that there is no significant difference between them. Conversely, if the confidence intervals do not overlap, it...
/CRAN/refmans/predictmeans/html/ci_mcp.html
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R: Plausible Values Range / Random Effect Confidence Intervals
...Effect Confidence Intervals Description The plausible values range is useful for gauging the magnitude of variation around fixed effects. For more information, see Raudenbush and Bryk (2002, p. 71)...
/CRAN/refmans/mlmhelpr/html/plausible_values.html
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R: Confidence Intervals for Linear Mixed Model Predictions
...confidence intervals when modeling with a random intercept linear mixed model (i.e. a fit with a formula such as lmer(y ~ x + (1|group))). Otherwise, confidence intervals may be bootstrapped via lme4...
/CRAN/refmans/ciTools/html/add_ci.lmerMod.html
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R: Add Confidence Intervals for Fitted Values to Data Frames
...to append confidence intervals for predictions of a model fit to a data frame. A confidence interval is generated for the fitted value of each observation in df. These confidence intervals are then...
/CRAN/refmans/ciTools/html/add_ci.html
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R: Confidence Intervals for robust and classical Linear Mixed...
...Confidence Intervals for robust and classical Linear Mixed Model estimators. Description Confidence Intervals (CIs) based on parametric and semi-parametric bootstrap (and Wald-type) for robust...
/CRAN/refmans/confintROB/html/confintROB.html
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R: Confidence Intervals for Generalized Linear Mixed Model...
add_ci.glmerMod {ciTools} R Documentation Confidence Intervals for Generalized Linear Mixed Model Predictions Description This function is one of the methods for add_ci, and is called automatically...
/CRAN/refmans/ciTools/html/add_ci.glmerMod.html
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R: Confidence interval estimation of contrasts
...Wald's confidence intervals with any model as long as it consistently implements fixcoef, vcov_fixcoef and df_for_wald. It is also specialized for GLMs with Wald's, LRT and Rao's confidence intervals...
/CRAN/refmans/glmglrt/html/confint_contrast.html
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R: Prediction intervals for future observations based on linear...
...intervals for future observations based on linear random effects models (DEPRECATED) Description This function is deprecated. Please use lmer_pi_unstruc(), lmer_pi_futvec() or lmer_pi_futmat().
/CRAN/refmans/predint/html/lmer_pi.html
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R: Prediction intervals for future observations based on linear...
...intervals for future observations based on linear random effects models Description lmer_pi_unstruc() calculates a bootstrap calibrated prediction interval for one or more future observation(s) based...
/CRAN/refmans/predint/html/lmer_pi_unstruc.html
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R: Prediction intervals for future observations based on linear...
...Prediction intervals for future observations based on linear random effects models Description lmer_pi_futvec() calculates a bootstrap calibrated prediction interval for one or more future observation...
/CRAN/refmans/predint/html/lmer_pi_futvec.html
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R: Prediction intervals for future observations based on linear...
...Prediction intervals for future observations based on linear random effects models Description lmer_pi_futmat() calculates a bootstrap calibrated prediction interval for one or more future observation...
/CRAN/refmans/predint/html/lmer_pi_futmat.html
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R: Confidence Limits for Lethal Dose Estimate From Dose-response...
...Confidence Limits for Lethal Dose Estimate From Dose-response Line Description This uses Fieller's formula to calculate a confidence interval for a specified mortality proportion, commonly 0.50, or...
/CRAN/refmans/qra/html/fieller.html
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R: Prediction Intervals for Generalized Linear Mixed Model...
add_pi.glmerMod {ciTools} R Documentation Prediction Intervals for Generalized Linear Mixed Model Predictions Description This function is one of the methods for add_pi, and is called automatically...
/CRAN/refmans/ciTools/html/add_pi.glmerMod.html
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R: Add Prediction Intervals to Data Frames
...This is a generic function to append prediction intervals to a data frame. A prediction interval is made for each observation in df with respect to the model fit. These intervals are then appended...
/CRAN/refmans/ciTools/html/add_pi.html
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R: Prediction Intervals for Linear Mixed Model Fitted Values
add_pi.lmerMod {ciTools} R Documentation Prediction Intervals for Linear Mixed Model Fitted Values Description This function is one of the methods in add_pi, and is called automatically when add_pi...
/CRAN/refmans/ciTools/html/add_pi.lmerMod.html
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R: Adds or replaces the error intervals stored in a prediction...
...the error intervals stored in a prediction component of an alldiffs.object. Description Given an alldiffs.object, adds or replaces error.intervals for its prediction component. If the backtransforms...
/CRAN/refmans/asremlPlus/html/redoErrorIntervals.alldiffs.html
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R: All Six Intraclass Correlations by Group
...[vrb.nm] of the set of variables data[vrb.nm]. icc_all_by also returns information about the linear mixed effects modeling (using lmer) used to compute the ICCs as well as any warning or error messages ...
/CRAN/refmans/quest/html/icc_all_by.html
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R: ExtractSummaryStatisticsRandomizedExp
...lmer function. It assumes a simple randomized experiment with each element having one or more repeated measures. It outputs the mean together with its standard error and confidence interval bounds.
/CRAN/refmans/reproducer/html/ExtractSummaryStatisticsRandomizedExp.html
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R: predicted value
...calculates the (average) predicted value with the confidence interval for a lmer model. Usage ## S3 method for class 'lmerMod' basepredict(model, values, sim.count=1000, conf.int=0.95, sigma=NULL, set...
/CRAN/refmans/glm.predict/html/basepredict.lmerMod.html
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R: Summarising Regression Models Using the Bootstrap
...models, including "lm", "glm", "glm.nb", nls", "rlm", "polr", and "merMod" ("lmer", "glmer") objects, using the bootstrap for p-values and confidence intervals. Usage boot_summary( model, type = "perc"...
/CRAN/refmans/boot.pval/html/boot_summary.html
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R: Function which performs a linear mixed model posthoc per...
...Similar to olink_lmer but performs a post hoc analysis based on a linear mixed model effects model using lmerTest::lmer and emmeans::emmeans on proteins. See olink_lmer for details of input notation.
/CRAN/refmans/OlinkAnalyze/html/olink_lmer_posthoc.html
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R: Calculates the ratios of nominated pairs of predictions...
...levels with a level in denominator.levels, the ratio predictions are formed from all combinations of the other factors as the ratio of the two predictions for each combination, along with confidence ...
/CRAN/refmans/asremlPlus/html/ratioTransform.alldiffs.html
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R: Typeset Statistical Results from Hierarchical GLM
...character strings to report the results in accordance with APA manuscript guidelines. Usage ## S3 method for class 'merMod' apa_print( x, effects = "fixed", conf.int = 0.95, in_paren = FALSE, est_name...
/CRAN/refmans/papaja/html/apa_print.merMod.html
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R: Intraclass Correlations (ICC1, ICC2, ICC3 from Shrout and...
...design. All are implemented and given confidence limits. Uses either aov or lmer depending upon options. lmer allows for missing values. Usage ICC(x,missing=TRUE,alpha=.05,lmer=TRUE,check.keys=FALSE) ...
/CRAN/refmans/psych/html/ICC.html
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R: predicted values and discrete change
...the confidence interval for a lm model. Usage ## S3 method for class 'lmerMod' dc(model, values = NULL, sim.count = 1000, conf.int = 0.95, sigma = NULL, set.seed = NULL, values1 = NULL, values2 = NULL...
/CRAN/refmans/glm.predict/html/dc.lmerMod.html
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R: Contrast Tests in 1D
...fitted with lmer from package lmerTest. The contrast should specify a linear function of the mean-value parameters, beta. The Satterthwaite or Kenward-Roger method is used to compute the (denominator)...
/CRAN/refmans/lmerTest/html/contest1D.lmerModLmerTest.html
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R: Format results from a linear mixed model
...("%s%s [%s, %s]"), RandomEffects = c("%s", "%s [%s, %s]"), EffectSizes = c("%s/%s, %s")), digits = 2, pcontrol = list(digits = 3, stars = TRUE, includeP = FALSE, includeSign = FALSE, dropLeadingZero...
/CRAN/refmans/multilevelTools/html/APAStyler.modelTest.merMod.html
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R: Predicted Means for Linear and Semiparametric Models
...'ATP' containing data ci_mcp Multiple Comparisons Based on the Confidence Intervals Clinical 'Clinical' data contrastmeans Linear Contrast Tests for a Linear Model CookD Calculates and plots Cook's...
/CRAN/refmans/predictmeans/html/00Index.html
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R: Power Analysis for Clustered Data
...rejection rate, root mean square error (RMSE), relative RMSE, coverage probability, and average confidence interval width. Usage pwr_func_lmer( betas = list(int = 0, x1 = -5, x2 = 2, x3 = 10), dists...
/CRAN/refmans/mmiCATs/html/pwr_func_lmer.html
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R: ANOVA with random effects using the (REstricted) Maximum...
...the variance components using the maximum likelihood method or the REstricted Maximum Likelihood (REML) method. It also provides some confidence intervals. Usage aovreml(formula, data = NULL, Lconfint...
/CRAN/refmans/RcmdrPlugin.TeachStat/html/aovreml.html
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R: Tidy report of mediation analysis.
...med_summary(model, digits = 3, file = NULL) Arguments model Mediation model built using mediation::mediate(). digits Number of decimal places of output. Defaults to 3. file File name of MS Word (.doc).
/CRAN/refmans/bruceR/html/med_summary.html
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R: Profile method for merMod objects
...[ng]lmer fitted models. The log() method and the more flexible logProf() utility transform a lmer profile into one where logarithms of standard deviations are used, while varianceProf converts from...
/CRAN/refmans/lme4/html/profile-methods.html
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R: Description of a predictions object
...membership function for this class; it tests that an object has class predictions.frame. validPredictionsFrame can be used to test the validity of a predictions.frame. Value A data.frame that begins...
/CRAN/refmans/asremlPlus/html/predictions.frame.html
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R: 'extract' method for 'lmerMod' objects
...lmer function in the lme4 package. Usage ## S4 method for signature 'lmerMod' extract( model, method = c("naive", "profile", "boot", "Wald"), level = 0.95, nsim = 1000, include.aic = TRUE, include.bic...
/CRAN/refmans/texreg/html/extract-lmerMod-method.html
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R: Bootstrap Standard Errors (experimental)
...normal reference distribution (interpret with caution) Usage boot_se(model, nsim = 5, seed = 1234, pct = 95, ...) Arguments model a mixed model produced using the lme4 package (lmer or glmer functions).
/CRAN/refmans/mlmhelpr/html/boot_se.html
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R: R Squared Difference Test (R2DT). Test for a statistically...
...explained variance between two candidate models. Usage r2dt(x, y = NULL, cor = TRUE, fancy = FALSE, onesided = TRUE, clim = 95, nsims = 2000, mu = NULL) Arguments x An R2 object from the r2beta...
/CRAN/refmans/r2glmm/html/r2dt.html
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R: Tidying methods for mixed effects models
...tidy the coefficients of lme4::lmer and lme4::glmer models (i.e., merMod objects). Methods are also provided for allFit objects. Usage ## S3 method for class 'merMod' tidy( x, effects = c("ran_pars"...
/CRAN/refmans/broom.mixed/html/lme4_tidiers.html
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R: Robust Standard Errors
The clubSandwich package is required to use this function. See mlmhelpr::boot_se for an alternative. Usage robust_se(model, type = "CR2", pct = 95) Arguments model model produced using the lme4::lmer...
/CRAN/refmans/mlmhelpr/html/robust_se.html
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R: Deconstructing difference score correlation with multi-level...
...unit (lvl2_unit) there can be multiple observations of y1 and y2. Can be used for either pre-fitted lmer-models or to long format data. A difference score correlation is indicative that slopes for y1...
/CRAN/refmans/multid/html/ddsc_ml.html
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R: Tukey HSD Plot
...displays means, confidence intervals as well as which groups are different based on Tukey's HSD. Inspired by http://stackoverflow.com/questions/18771516/is-there-a-function-to-add-aov-post-hoc-testing-...
/CRAN/refmans/JWileymisc/html/TukeyHSDgg.html
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R: Extract and format coefficients table
...-test) and format them. Usage cf(x, addci = TRUE, pv.style = 1, signif = 2, expcf, ...) Arguments x x is a lm/glm/lme/lmer/t.test model addci Logical value that tells R to add a 95% confidence interval...
/CRAN/refmans/CUFF/html/cf.html
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Size: 23.8K
R: Calculates the differences between nominated pairs of...
...nominated pairs of predictions stored in an alldiffs.object. Description Predictions of differences and their error intervals are formed for two levels of a factor, the pairs.factor. For each pair...
/CRAN/refmans/asremlPlus/html/pairdiffsTransform.alldiffs.html
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R: Tidying methods for mediation analyses involving mixed...
...Tidying methods for mediation analyses involving mixed effects models Description These methods tidy the coefficients of mediation::mediate output (i.e., mediate.mer objects) when lme4::lmer and lme4...
/CRAN/refmans/broom.mixed/html/mediation_tidiers.html
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R: Fitted semObject
...components. Some parameters are only estimated for liner mixed regression models (and vice versa). pseudo.y a matrix containing the pseudo samples of the interval-censored variable from each iteration ...
/CRAN/refmans/smicd/html/semObject.html
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R: Tidy methods for 'wbm' models
...for class 'wbm' glance(x, ...) ## S3 method for class 'summ.wbm' glance(x, ...) ## S3 method for class 'summ.wbm' tidy(x, ...) Arguments x An object of class merMod, such as those from lmer, glmer, or ...
/CRAN/refmans/panelr/html/wbm_tidiers.html
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R: Meta-analysis of diagnostic test accuracy studies with the...
...condition is present or not (positive or negative test result) depends on whether the observed value is above or below the cutoff. Here we assume that higher values of the biomarker indicate a greater...
/CRAN/refmans/diagmeta/html/diagmeta.html
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R: Nakagawa's R2 for mixed models
...and conditional r-squared value for mixed effects models with complex random effects structures. Usage r2_nakagawa( model, by_group = FALSE, tolerance = 1e-05, ci = NULL, iterations = 100, ci_method...
/CRAN/refmans/performance/html/r2_nakagawa.html
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R: Tidying methods for lqmm models (EXPERIMENTAL)
...S3 method for class 'lqmm' tidy(x, conf.int = FALSE, conf.level = 0.95, ...) ## S3 method for class 'lqmm' glance(x, ...) Arguments x An object of class merMod, such as those from lmer, glmer, or ...
/CRAN/refmans/broom.mixed/html/tidy.lqmm.html
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R: estimate detailed results per variable and effect sizes for...
...merMod {multilevelTools} R Documentation estimate detailed results per variable and effect sizes for both fixed and random effects from lmer models Description This function extends the current drop1...
/CRAN/refmans/multilevelTools/html/modelTest.merMod.html
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R: Compute the model's R2
...Compute the model's R2 Description Calculate the R2, also known as the coefficient of determination, value for different model objects. Depending on the model, R2, pseudo-R2, or marginal / adjusted R2...
/CRAN/refmans/performance/html/r2.html
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R: This function is used for permutation test for general and...
...regression by lm function in R base or lmer function in lmer/lmertest package and permutation tests on observed t values of beta coef -ficients Usage lmerp(formula, data, thresh, R, mixed, minimum)...
/CRAN/refmans/lmerPerm/html/lmerp.html
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R: Generic Function for Making Coefficient Plot
...coefplot(coefs, sds, CI=2, lower.conf.bounds, upper.conf.bounds, varnames=NULL, vertical=TRUE, v.axis=TRUE, h.axis=TRUE, cex.var=0.8, cex.pts=0.9, col.pts=1, pch.pts=20, var.las=2, main=NULL, xlab...
/CRAN/refmans/arm/html/coefplot.html
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R: LS-means for lmerTest Model Fits
...lmerTest Model Fits Description Computes LS-means or pairwise differences of LS-mean for all factors in a linear mixed model. lsmeansLT is provided as an alias for ls_means for backward compatibility.
/CRAN/refmans/lmerTest/html/ls_means.lmerModLmerTest.html
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R: Response Quantiles for Generalized Linear Mixed Model...
...methods for add_pi, and is called automatically when add_pi is used on a fit of class glmerMod. This function is experimental. Usage ## S3 method for class 'glmerMod' add_quantile( df, fit, p, name...
/CRAN/refmans/ciTools/html/add_quantile.glmerMod.html
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R: Satterthwaite approximation for SEs, CIs and p-values
...ci_satterthwaite(model, ci = 0.95, ...) dof_satterthwaite(model) p_value_satterthwaite(model, dof = NULL, ...) se_satterthwaite(model) Arguments model A statistical model. ci Confidence Interval (CI)...
/CRAN/refmans/parameters/html/p_value_satterthwaite.html
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R: Predicted Means of a Linear Model with Covariate Variable(s)
...Df=NULL, trans=NULL, transOff=0, responsen=NULL, trellis=TRUE, plotord=NULL, mtitle=NULL, ci=TRUE, point=TRUE, jitterv=0, newwd=TRUE) Arguments model Model object returned by aov, lm, glm, gls, lme, ...
/CRAN/refmans/predictmeans/html/covariatemeans.html
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R: Forms an 'alldiffs.object' from the supplied predictions,...
...consists of a list containing the following components: predictions, vcov, differences, p.differences, sed, LSD and backtransforms. Predictions must be supplied to the function while the others will...
/CRAN/refmans/asremlPlus/html/as.alldiffs.html
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Size: 11.2K
R: Model-based (Semi-)Parametric Bootstrap for Mixed Models
..."none", PBargs = list(), parallel = c("no", "multicore", "snow"), ncpus = getOption("boot.ncpus", 1L), cl = NULL) Arguments x a fitted merMod object: see lmer, glmer, etc. FUN a function taking a...
/CRAN/refmans/lme4/html/bootMer.html
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R: Kenward-Roger approximation for SEs, CIs and p-values
...model. ci Confidence Interval (CI) level. Default to 0.95 (⁠95%⁠). dof Degrees of Freedom. Details Inferential statistics (like p-values, confidence intervals and standard errors) may be biased...
/CRAN/refmans/parameters/html/p_value_kenward.html
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R: Combine Statistical Models into a Tibble for Comparison
...file. Package NEWS. Help Pages stack_coeff Stack coefficents, confidence intervals, and standard errors for n models. stack_metrics Combine model metrics for n number of lm, glm, and lmer models
/CRAN/refmans/modelfactory/html/00Index.html
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Size: 11.8K
R: Intraclass Correlation Coefficient (ICC)
...all models supported by insight::get_variance(). For models fitted with the brms-package, icc() might fail due to the large variety of models and families supported by the brms-package. In such cases...
/CRAN/refmans/performance/html/icc.html
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Size: 5.2K
R: Mixed-Effects Profile Plots (Regular / Density / Pairs)
...model profile. xyplot() draws “zeta diagrams”, also visualizing confidence intervals and their asymmetry. densityplot() draws the profile densities. splom() draws profile pairs plots. Contours are...
/CRAN/refmans/lme4/html/plots.thpr.html
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Size: 4.9K
R: Quantiles for the Response of a Linear Mixed Model
...{ciTools} R Documentation Quantiles for the Response of a Linear Mixed Model Description This function is one of the methods for add_quantile and is called automatically when add_quantile is applied...
/CRAN/refmans/ciTools/html/add_quantile.lmerMod.html
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R: "m-l-1" approximation for SEs, CIs and p-values
...on a "m-l-1" heuristic as suggested by Elff et al. (2019). Usage ci_ml1(model, ci = 0.95, ...) dof_ml1(model) p_value_ml1(model, dof = NULL, ...) Arguments model A mixed model. ci Confidence Interval...
/CRAN/refmans/parameters/html/p_value_ml1.html
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R: Plot the results of a simulation of the random effects
...are distinguishable from zero (i.e. the confidence band based on level does not cross the red line) are highlighted. Currently, the plots are ordered according to the grouping factor. Usage plotREsim...
/CRAN/refmans/merTools/html/plotREsim.html
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Size: 2.2K
R: Mixed model wrapper for assay dataframe
...are reported together with 95% confidence intervals and t statistics. Usage mixedModel(assay.df.melted, var = c("Operator", "Day")) Arguments assay.df.melted A data.frame produced by assayMelt() var...
/CRAN/refmans/rADA/html/mixedModel.html
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Size: 8.1K
R: Tests the null hypothesis that the age at the onset of...
...hypothesis that the age at the onset of senescence is the same in the two groups. Usage onset.test(ll, data1, data2, search.range, CI.lvl=0.95, tol=.Machine$double.eps^0.25, warn=FALSE, do.plot=FALSE, ...
/CRAN/refmans/OnAge/html/onset.test.html
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Size: 7.7K
R: Cross-Validate Mixed-Effects Model
...Cross-Validate Mixed-Effects Model Description cv() methods for mixed-effect models of class "merMod", fit by the lmer() and glmer() functions in the lme4 package; for models of class "lme" fit by the...
/CRAN/refmans/cv/html/cv.merMod.html
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Size: 11.3K
R: Convert _F_ and _t_ Statistics to *partial*-eta^2 and Other...
...partial Eta- (\eta), Omega- (\omega) Epsilon- (\epsilon) squared (an alias for the adjusted Eta squared) and Cohen's f. These are useful in cases where the various Sum of Squares and Mean Squares are...
/CRAN/refmans/effectsize/html/F_to_eta2.html
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Size: 5.0K
R: Add Regression Quantiles to Data Frames
...to append regression quantiles to a data frame. A regression quantile q is a point such that Pr(Response | Covariates < q) = p. These quantiles are generated for the fitted value of each observation...
/CRAN/refmans/ciTools/html/add_quantile.html
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Size: 3.0K
R: Plot the results of a simulation of the fixed effects
...sigmaScale = NULL, oddsRatio = FALSE ) Arguments data a data.frame generated by FEsim with simulations of the fixed effects of a merMod level the width of the confidence interval stat a character...
/CRAN/refmans/merTools/html/plotFEsim.html
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Size: 14.1K
R: Plots the predictions for a term, possibly with error bars.
...when variables involving x.num or x.fac are involved in classify for the predictions; otherwise, bar charts are produced. Further, for line charts, the argument panels determines whether a single plot...
/CRAN/refmans/asremlPlus/html/plotPredictions.data.frame.html
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Size: 15.8K
R: Mixed effects regression summaries with options
summ.merMod {jtools} R Documentation Mixed effects regression summaries with options Description summ() prints output for a regression model in a fashion similar to summary(), but formatted differently...
/CRAN/refmans/jtools/html/summ.merMod.html
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Size: 4.8K
R: Compute predicted values from the fixed effects of a mixed...
...ezPredict( fit , to_predict = NULL , numeric_res = 0 , boot = TRUE , iterations = 1e3 , zero_intercept_variance = FALSE ) Arguments fit Fitted lmer object. to_predict Optional data frame containing...
/CRAN/refmans/ez/html/ezPredict.html
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Size: 3.6K
R: Plot LS-means for Backward Reduced Model
...Computes the LS-means for the final backward reduced model and passes these to plot.ls_means. Usage ## S3 method for class 'step_list' plot( x, y = NULL, which = NULL, pairwise = FALSE, mult = TRUE...
/CRAN/refmans/lmerTest/html/plot.step_list.html
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Size: 7.8K
R: Reliability Statistics
...of measurement. Usage reli_stats( measure, item, id, data, wide = FALSE, col.names = NULL, se_type = c("MSE", "ICC1", "ICC2", "ICC3", "ICC1k", "ICC2k", "ICC3k"), cv_calc = c("MSE", "residuals", "SEM")...
/CRAN/refmans/SimplyAgree/html/reli_stats.html
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Size: 5.7K
R: Add Regression Probabilities to Data Frames
add_probs {ciTools} R Documentation Add Regression Probabilities to Data Frames Description This is a generic function to append response level probabilities to a data frame. A response level...
/CRAN/refmans/ciTools/html/add_probs.html
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Size: 4.2K
R: Between-within approximation for SEs, CIs and p-values
...based on a "between-within" heuristic. Usage ci_betwithin(model, ci = 0.95, ...) dof_betwithin(model) p_value_betwithin(model, dof = NULL, ...) Arguments model A mixed model. ci Confidence Interval...
/CRAN/refmans/parameters/html/p_value_betwithin.html
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Size: 2.7K
R: Simulate fixed effects from merMod 'FEsim' simulates fixed...
...sims = 200, oddsRatio = FALSE, seed = NULL) Arguments merMod a merMod object from the lme4 package n.sims number of simulations to use oddsRatio logical, should parameters be converted to odds ratios?
/CRAN/refmans/merTools/html/FEsim.html
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Size: 11.9K
R: Model-based response estimates and uncertainty
...make inferences about relationships between variables and to make predictions about individual cases. Model-based response estimates and uncertainty can be generated for both the conditional average...
/CRAN/refmans/modelbased/html/estimate_expectation.html
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Size: 13.5K
R: Description of an alldiffs object
...appropriate components, it can be formed by passing the components to as.alldiffs, or from a predictions data.frame using allDifferences.data.frame. as.alldiffs is function that assembles an object of...
/CRAN/refmans/asremlPlus/html/alldiffs.object.html
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Size: 13.3K
R: Extract model fit results to dataframe (generic): 'finalfit'...
...for lm. fit2df.lmlist is the model extract method for lmuni and lmmulti. fit2df.glm is the model extract method for standard glm models, which have not used finalfit model wrappers. fit2df.glmboot...
/CRAN/refmans/finalfit/html/fit2df.html
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Size: 15.3K
R: Make Pretty Summary and Anova Tables
...variables. Additionally, confidence intervalls are added to summaries per default and p-values are formated for pretty printing. Usage ## generic function called by all prettify.summary.xxx functions...
/CRAN/refmans/papeR/html/prettify.html
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Size: 30.7K
R: Calculates a linear transformation of the predictions stored...
...transformed values are stored in an alldiffs.object. A matrix might be a contrast matrix or a matrix of weights for the levels of a factor used to obtain the weighted average over the levels of that ...
/CRAN/refmans/asremlPlus/html/linTransform.alldiffs.html
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Size: 8.6K
R: Fit Linear Mixed Models via REML
...fits Linear Mixed Models (LMM) using Restricted Maximum Likelihood (REML). Usage remlMM( form, Data, by = NULL, VarVC = TRUE, cov = TRUE, quiet = FALSE, order.data = TRUE ) Arguments form (formula)...
/CRAN/refmans/VCA/html/remlMM.html
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Size: 26.9K
R: Parameters from Mixed Models
...ci_method = NULL, ci_random = NULL, bootstrap = FALSE, iterations = 1000, standardize = NULL, effects = "all", group_level = FALSE, exponentiate = FALSE, p_adjust = NULL, include_sigma = FALSE, keep...
/CRAN/refmans/parameters/html/model_parameters.merMod.html
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Size: 6.2K
R: Easy analysis and visualization of factorial experiments
...This package facilitates easy analysis of factorial experiments, including purely within-Ss designs (a.k.a. “repeated measures”), purely between-Ss designs, and mixed within-and-between-Ss designs.
/CRAN/refmans/ez/html/ez-package.html
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Size: 2.9K
R: Variance components of smooths from smoothness estimates
...wrapper to mgcv::gam.vcomp() which returns the smoothing parameters expressed as variance components. Usage variance_comp(object, ...) ## S3 method for class 'gam' variance_comp(object, rescale = TRUE...
/CRAN/refmans/gratia/html/variance_comp.html
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Size: 11.6K
R: Plots a regression nomogram showing covariate distribution
...regplot plots enhanced regression nomograms. Covariate distributions are superimposed on nomogram scales and the plot can be animated to allow on-the-fly changes to distribution representation...
/CRAN/refmans/regplot/html/regplot.html
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Size: 3.2K
R: Heritability of Gene Expression for Next-Generation Sequencing
...(VPC) for one or more features. computeVPC.NB Calculate the negative binomial (NB) variance partition coefficient (VPC) for one or more features. fit.CP Fit compound Poisson mixed effect models (CPMM)...
/CRAN/refmans/HeritSeq/html/00Index.html
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Size: 41.5K
R: m-way Plot with Error Bars and Raw Data
...-based, within-subjects, between-subjects). Functions described here return a ggplot2 plot object, thus allowing further customization of the plot. afex_plot is the user friendly function that does...
/CRAN/refmans/afex/html/afex_plot.html
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Size: 5.9K
R: Data sets and functions for 'Analyzing Linguistic Data'
...accompanying 'Analyzing Linguistic Data: A practical introduction to statistics', Cambridge University Press, 2007. Details Package: languageR Type: Package Version: 1.0 Date: 2007-01-15 License: GNU...
/CRAN/refmans/languageR/html/languageR-package.html
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Size: 15.5K
R: General Approximate Degrees of Freedom Solution for Inference...
...Welch-James statistic with Approximate Degrees of Freedom, based on the SAS code by H.J. Keselman, R.R. Wilcox and L.M. Lix. Usage welchADF.test(formula, ...) ## S3 method for class 'formula' welchADF...
/CRAN/refmans/welchADF/html/welchADF.test.html
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Size: 7.4K
R: Mixed Model ANOVA and Statistics for Education
...SS type II or III (including mixed models). anova.lmm Analysis of variance (sequential SS) AnovaMix Mixed model least squares analysis of variance (mixed ANOVA). anova_reg Analysis of variance for...
/CRAN/refmans/mixlm/html/00Index.html
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Size: 4.8K
R: Response Probabilities for Generalized Linear Mixed Model...
...the methods for add_probs, and is called automatically when add_probs is used on a fit of class glmerMod. Probabilities are approximate and determined via a simulation. This function is experimental.
/CRAN/refmans/ciTools/html/add_probs.glmerMod.html
 cran-help  matching: confidence, intervals and lmer




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