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R: Select and fit a model using stepwise regression
...stepwise regression Description A regression model is selected by iteratively adding and removing variables based on the p-value from a likelihood ratio rest. At each stage, a single variable is added...
/CRAN/refmans/nrba/html/stepwise_model_selection.html
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R: Stepwise regression
...stepwise(data, sp.col, var.cols, id.col = NULL, family = binomial(link="logit"), direction = "both", test.in = "Rao", test.out = "LRT", p.in = 0.05, p.out = 0.1, trace = 1, simplif = TRUE, preds...
/CRAN/refmans/fuzzySim/html/stepwise.html
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R: Main wrapper function for stepwise regression
stepwise {StepReg} R Documentation Main wrapper function for stepwise regression Description Select optimal model using various stepwise regression strategies, e.g., Forward Selection, Backward...
/CRAN/refmans/StepReg/html/stepwise.html
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R: Stepwise Elimination and Term Reordering for Mixed-Effects Regression
...stepwise elimination add.terms Add terms to a formula build.formula Convert a buildmer term list into a proper model formula buildbam Use 'buildmer' to fit big generalized additive models using 'bam'...
/CRAN/refmans/buildmer/html/00Index.html
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R: Covariate model building
...model building are proposed SCM: stepwise covariate modeling method In the forward selection, at each step, each of the remaining (i.e not yet included) parameter-covariate relationships are added...
/CRAN/refmans/Rsmlx/html/covariateSearch.html
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R: Fit a regression model to predict survey outcomes
...identify auxiliary variables that are predictive of survey outcomes and hence are potentially useful for nonresponse bias analysis or weighting adjustments. Only data from survey respondents will be...
/CRAN/refmans/nrba/html/predict_outcome_via_glm.html
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R: Fit a logistic regression model to predict response to the...
...predict whether an individual responds to the survey (i.e. is an eligible respondent) rather than a nonrespondent. Ineligible cases and cases with unknown eligibility status are not included in this...
/CRAN/refmans/nrba/html/predict_response_status_via_glm.html
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R: Set control options for buildmer
...different elimination criteria, a core buildmer feature—whereas some are only meant for internal usage, e.g. I_KNOW_WHAT_I_AM_DOING is only used to turn off the PQL safeguards in buildbam/buildgam, ...
/CRAN/refmans/buildmer/html/buildmerControl.html
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R: GLMs with variable selection for multiple species
...output form. Usage multGLM(data, sp.cols, var.cols, id.col = NULL, block.cols = NULL, family = "binomial", test.sample = 0, FDR = FALSE, correction = "fdr", FDR.first = TRUE, corSelect = FALSE, coeff = ...
/CRAN/refmans/fuzzySim/html/multGLM.html
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R: Data Sets and Functions Used in Multivariate Statistics: Old School by John Marden
...estimates bothsidesmodel.chisquare Test subsets of beta are zero bothsidesmodel.df Obtain the degrees of freedom for a model. bothsidesmodel.hotelling Test blocks of beta are zero. bothsidesmodel.lrt...
/CRAN/refmans/msos/html/00Index.html
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R: Perform bootstrap sampling and calculate test statistic for...
...QTL scan, and calculate log10 LRT statistic Usage boot_pvl( probs, pheno, addcovar = NULL, kinship = NULL, start_snp = 1, n_snp, pleio_peak_index, nboot = 1, max_iter = 10000, max_prec = 1/1e+08...
/CRAN/refmans/qtl2pleio/html/boot_pvl.html
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R: Vector Generalized Linear and Additive Models
...Pages A B C D E F G H I K L M N O P Q R S T U V W Y Z misc VGAM-package Vector Generalized Linear and Additive Models and Other Associated Models -- A -- A1A2A3 The A1A2A3 Blood Group System AA.Aa.aa...
/CRAN/refmans/VGAM/html/00Index.html
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