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R: Sample size calculation for Poisson data
...Sample size calculation for Poisson data Description Find the sample size needed to have a desired false discovery rate and average power for a large number of two-group comparisons under Poisson...
/CRAN/refmans/FDRsamplesize2/html/n.fdr.poisson.html
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R: Sample size for testing mediation effect in poisson...
...VSMc.poisson {powerMediation} R Documentation Sample size for testing mediation effect in poisson regression based on Vittinghoff, Sen and McCulloch's (2009) method Description Calculate sample size...
/CRAN/refmans/powerMediation/html/ssMediation.VSMc.poisson.html
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R: Overall Sample Size Poisson Distribution
...Overall Sample Size Poisson Distribution Description Calculates the sample size required to detect a given set of effects in a two-stage randomized clinical trial. Returns the largest of the required...
/CRAN/refmans/preference/html/overall_sample_size_pois.html
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R: Calculate sample size for poisson distribution
...sample size for poisson distribution Description Estimation of required sample size as given by Cundill & Alexander (2015). Usage n_poisson( mean0, effect, alpha = 0.05, power = 0.9, q = 0.5, link = c...
/CRAN/refmans/skewsamp/html/n_poisson.html
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R: Sample size for Poisson one-sample exact test
...Sample size for Poisson one-sample exact test Description Obtains the sample size for Poisson one-sample exact test. Usage samplesizeOneRateExact( beta = 0.2, lambdaH0 = NA_real_, lambda = NA_real_, D...
/CRAN/refmans/lrstat/html/samplesizeOneRateExact.html
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R: Power and sample size for one-sample Poisson rate exact test
...sample size for one-sample Poisson rate exact test Description Obtains the power given sample size or obtains the sample size given power for one-sample Poisson rate. Usage getDesignOneRateExact( beta...
/CRAN/refmans/lrstat/html/getDesignOneRateExact.html
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R: Sample size calculation for simple Poisson regression
sizePoisson {powerMediation} R Documentation Sample size calculation for simple Poisson regression Description Sample size calculation for simple Poisson regression. Assume the predictor is normally...
/CRAN/refmans/powerMediation/html/sizePoisson.html
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R: Normal mixture with Poisson sample size via Kiefer Wolfowitz...
...mixture with Poisson sample size via Kiefer Wolfowitz NPMLE Description Interior point solution of Kiefer-Wolfowitz NPMLE for mixture of Normal/Poissons Usage NPmix(x, m, v = 50, u = 50, weights...
/CRAN/refmans/REBayes/html/NPmix.html
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R: Summarize the Gamma-Poisson Model
...(shape, rate) prior on \lambda and a Poisson likelihood for the data. Given information on the prior (shape and rate) and data (the sample size n and sum_y), this function summarizes the mean, mode...
/CRAN/refmans/bayesrules/html/summarize_gamma_poisson.html
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R: Power Calculations for Test of Two Poisson Ratios
...sig.level = 0.05, lambda1 = NULL, lambda2 = NULL, t1 = 1, t2 = 1, RR0 = 1, equal.sample = TRUE, alternative = c("two.sided", "one.sided")) Arguments n1 sample size in group 1, or sample size in each...
/CRAN/refmans/PASSED/html/power_Poisson.html
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R: Sample size calculation for continuous sequential analysis...
...Poisson {Sequential} R Documentation Sample size calculation for continuous sequential analysis with Poisson data. Description The function SampleSize.Poisson obtains the required sample size (length...
/CRAN/refmans/Sequential/html/SampleSize.Poisson.html
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R: Minimum detectable slope for mediator in poisson regression...
...detectable slope for mediator given sample size and power in poisson regression based on Vittinghoff, Sen and McCulloch's (2009) method. Usage minEffect.VSMc.poisson(n, power, sigma.m, EY, corr.xm...
/CRAN/refmans/powerMediation/html/minEffect.VSMc.poisson.html
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R: Statistical Power Analysis for Poisson Regression
wp.poisson {WebPower} R Documentation Statistical Power Analysis for Poisson Regression Description This function is for Poisson regression models. Poisson regression is a type of generalized linear...
/CRAN/refmans/WebPower/html/wp.poisson.html
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R: Plot a Gamma-Poisson Bayesian Model
...Poisson likelihood for the data. Given information on the prior (shape and rate) and data (the sample size n and sum_y), this function produces a plot of any combination of the corresponding prior pdf...
/CRAN/refmans/bayesrules/html/plot_gamma_poisson.html
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R: Power/Sample Size Calculation for Mediation Analysis
.../Sample Size Calculation for Mediation Analysis Documentation for package ‘powerMediation’ version 0.3.4 DESCRIPTION file. Package NEWS. Help Pages minEffect.SLR Minimum detectable slope minEffect...
/CRAN/refmans/powerMediation/html/00Index.html
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R: Power for testing mediation effect in poisson regression...
...in poisson regression based on Vittinghoff, Sen and McCulloch's (2009) method. Usage powerMediation.VSMc.poisson(n, b2, sigma.m, EY, corr.xm, alpha = 0.05, verbose = TRUE) Arguments n sample size. b2...
/CRAN/refmans/powerMediation/html/powerMediation.VSMc.poisson.html
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R: Computing Power and Sample Size for the False Discovery Rate in Multiple Applications
...and Sample Size for the False Discovery Rate in Multiple Applications Documentation for package ‘FDRsamplesize2’ version 0.2.0 DESCRIPTION file. Package NEWS. Help Pages alpha.power.fdr Compute p-...
/CRAN/refmans/FDRsamplesize2/html/00Index.html
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R: Specify Poisson sampling design
...is often used theoretically, but is rarely used in practice because the sample size is variable. This function calls ppscov to specify a sparse sampling covariance matrix. Usage poisson_sampling(p)...
/CRAN/refmans/survey/html/poisson_sampling.html
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R: Akaike Information Criterion with correction for sample size
...calc {spind} R Documentation Akaike Information Criterion with correction for sample size Description Calculates AIC and AICc Usage aic.calc(formula, family, data, mu, n.eff = NULL) Arguments formula...
/CRAN/refmans/spind/html/aic.calc.html
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R: Semiparametric Model-Assisted Estimation under a Poisson...
...a Poisson Sampling Design Description sreg_poisson is used to estimate the total parameter of a finite population generated from a semi-parametric generalized gamma population under a Poisson sampling...
/CRAN/refmans/sregsurvey/html/sreg_poisson.html
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R: Sample Size Adjusted for Nonadherence or Variability of Input Parameters
Sample Size Adjusted for Nonadherence or Variability of Input Parameters Documentation for package ‘ssanv’ version 1.1 DESCRIPTION file. Help Pages ssanv-package Sample Size Adjusted...
/CRAN/refmans/ssanv/html/00Index.html
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R: Poisson Regression: Single Coefficient (Large Sample Approx....
...Calculates statistical power or minimum required sample size (only one can be NULL at a time) to test a single coefficient in poisson regression. pwrss.z.poisson() and pwrss.z.poisreg() are the same...
/CRAN/refmans/pwrss/html/4-Poisson-Regression-Beta.html
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R: Calculate Power and Sample Size for Two Sample Mean Tests
...and Sample Size for Two Sample Mean Tests Documentation for package ‘PASSED’ version 1.2-2 DESCRIPTION file. User guides, package vignettes and other documentation. Help Pages power_Beta Power...
/CRAN/refmans/PASSED/html/00Index.html
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R: Effective sample size calculation
...Effective sample size calculation Description Calculates an estimate of the adjusted MCMC sample size per parameter adjusted for autocorrelation. Usage neff(object, burnin = NULL, lagmax = NULL...
/CRAN/refmans/hmclearn/html/neff.html
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R: Effective sample size calculation
...sample size calculation Description Calculates an estimate of the adjusted MCMC sample size per parameter adjusted for autocorrelation. Usage ## S3 method for class 'hmclearn' neff(object, burnin...
/CRAN/refmans/hmclearn/html/neff.hmclearn.html
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R: Compute Sample Size that Meets Requirements for Average Power and FDR
...to Perform Power and Sample Size Calculations for Microarray Studies afdr Compute the anticipated FDR alpha.fdr Find the fixed p-value threshold that controls the FDR at a specified level alpha.power...
/CRAN/refmans/FDRsampsize/html/00Index.html
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R: Function to calculate the error in estimated sample size for...
...sample size for use in optimize function Usage relR_samplesize_opterr( m, R_a, R_b, p_a, N, alpha, alternative, power, sensitivity, specificity, overdispersion ) Arguments m the sample size. R_a...
/CRAN/refmans/phylosamp/html/relR_samplesize_opterr.html
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R: Sample Size Adjusted for Nonadherence or Variability of Input...
...Calculate sample size for two sample difference in means tests. The function, ss.nonadh accounts for known proportions of nonadherence. There are three functions that calculate sample size accounting...
/CRAN/refmans/ssanv/html/ssanv.package.html
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R: Calculate simple derived sample size for detecting...
...simple derived sample size for detecting differential transmission Description Function that does the simple derived sample size calculation with no corrections. I.e., directly applies the math as if...
/CRAN/refmans/phylosamp/html/relR_samplesize_basic.html
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R: Statistical Power and Sample Size Calculation Tools
...Sample Size Calculation Tools Documentation for package ‘pwrss’ version 0.3.1 DESCRIPTION file. User guides, package vignettes and other documentation. Package NEWS. Help Pages plot.pwrss Type I...
/CRAN/refmans/pwrss/html/00Index.html
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R: Calculate optimal sample size for detecting differential...
...sample size for detecting differential transmission with imperfect specificity Description Function to solve for optimal sample size when the specificity isn't 1 Usage relR_samplesize_solve( R_a, R_b...
/CRAN/refmans/phylosamp/html/relR_samplesize_solve.html
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R: Sample size or precision for a rate
prec_rate {presize} R Documentation Sample size or precision for a rate Description prec_rate returns the sample size or the precision for the provided rate. Usage prec_rate( r, x = NULL, conf.width...
/CRAN/refmans/presize/html/prec_rate.html
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R: Calculate sample size for detecting differential transmission...
relR_samplesize_linkerr {phylosamp} R Documentation Calculate sample size for detecting differential transmission correcting for sensitivity and specificity Description Function to run the sample size...
/CRAN/refmans/phylosamp/html/relR_samplesize_linkerr.html
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R: Calculate sample size for detecting differential transmission...
...you want to correct for imbalance, if not there is a closed form solution for the estimated sample size that does not include uncertainty bounds. (see relR_samplesize). Usage relR_samplesize_ci( R_a...
/CRAN/refmans/phylosamp/html/relR_samplesize_ci.html
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R: Calculate optimized sample size for detecting differential...
...sample size for detecting differential transmission Description Function to calculate optimized sample size by solving the transcendental equation that occurs when you replace the R values with ones...
/CRAN/refmans/phylosamp/html/relR_samplesize_simsolve.html
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R: Sample size calculation for the continuous sequential...
...CMaxSPRT for Poisson data with limited information from historical cohort. Description The function SampleSize.CondPoisson obtains the required sample size (length of surveillance) needed to guarantee...
/CRAN/refmans/Sequential/html/SampleSize.CondPoisson.html
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R: Calculate sample size needed to detect differential...
...Calculate sample size needed to detect differential transmission Description Function for calculating sample size given a set of assumptions. This is the high level wrapper function that users should...
/CRAN/refmans/phylosamp/html/relR_samplesize.html
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R: Get Sample Size Counts
...Get Sample Size Counts Description Returns the sample size for testing the ratio of mean rates of negative binomial distributed event numbers in two samples at given effect. Usage getSampleSizeCounts...
/CRAN/refmans/rpact/html/getSampleSizeCounts.html
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R: Effective Sample Size for a Conjugate Prior
...Effective Sample Size for a Conjugate Prior Description Calculates the Effective Sample Size (ESS) for a mixture prior. The ESS indicates how many experimental units the prior is roughly equivalent...
/CRAN/refmans/RBesT/html/ess.html
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R: Generation of counts from a linear Poisson NAR(p) model with...
poisson.MODpq {PNAR} R Documentation Generation of counts from a linear Poisson NAR(p) model with q covariates (PNAR(p)) Description Generation of multivariate count time series from a linear Poisson...
/CRAN/refmans/PNAR/html/poisson.MODpq.html
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R: Sample size calculation for continuous sequential analysis...
...Sample size calculation for continuous sequential analysis with binomial data. Description The function SampleSize.Binomial obtains the sample size needed to guarantee a desired statistical power...
/CRAN/refmans/Sequential/html/SampleSize.Binomial.html
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R: Sample size calculation for mediation analysis
masize {gap} R Documentation Sample size calculation for mediation analysis Description The function computes sample size for regression problems where the goal is to assess mediation of the effects...
/CRAN/refmans/gap/html/masize.html
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R: Sample Size Calculations (General Case)
sampSizeMCTGen {MCPModGeneral} R Documentation Sample Size Calculations (General Case) Description This function build on the sampSizeMCT function in the DoseFinding package, allowing the procedure...
/CRAN/refmans/MCPModGeneral/html/sampSizeMCTGen.html
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R: Generates Data from Multivariate Generalized Poisson...
...GenMVGpois( sample.size, no.gpois, cmat.star, theta.vec, lambda.vec, details = TRUE ) Arguments sample.size desired sample size (number of rows) for the multivariate generalized Poisson data no.gpois...
/CRAN/refmans/RNGforGPD/html/GenMVGpois.html
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R: Generation of counts from a non-linear Threshold Poisson...
...from a non-linear Threshold Poisson network Autoregressive model of order p with q covariates (T-PNAR(p)). Usage poisson.MODpq.tnar(b, W, gama, a, p, d, Z = NULL, TT, N, copula = "gaussian", corrtype...
/CRAN/refmans/PNAR/html/poisson.MODpq.tnar.html
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R: Exact Sequential Analysis for Poisson and Binomial Data
...Signal and Sample Size for Sequential Analysis with Poisson and Binomial Data. Analyze.Binomial Function for group sequential analyses for binomial data, without the need to know group sizes a priori.
/CRAN/refmans/Sequential/html/00Index.html
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R: Poisson Sampling
...each unit in the population Details The selected sample is drawn according to a sequential procedure algorithm based on a uniform distribution. The Poisson sampling design is not a fixed sample size...
/CRAN/refmans/TeachingSampling/html/S.PO.html
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R: Power for Poisson one-sample exact test
...Poisson one-sample exact test. Usage powerOneRateExact( n = NA_real_, lambdaH0 = NA_real_, lambda = NA_real_, D = 1, alpha = 0.025 ) Arguments n The sample size. lambdaH0 The Poisson rate under the...
/CRAN/refmans/lrstat/html/powerOneRateExact.html
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R: Poisson sampling
...Poisson sampling Description Draws a Poisson sample using a prescribed vector of first-order inclusion probabilities (unequal probabilities, without replacement, random sample size). Usage UPpoisson...
/CRAN/refmans/sampling/html/UPpoisson.html
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R: Sample size for equivalence in milestone survival probability...
kmsamplesizeequiv {lrstat} R Documentation Sample size for equivalence in milestone survival probability difference Description Obtains the sample size for equivalence in milestone survival probability...
/CRAN/refmans/lrstat/html/kmsamplesizeequiv.html
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R: Sample size for equivalence in hazard ratio
...Sample size for equivalence in hazard ratio Description Obtains the sample size for equivalence in hazard ratio. Usage lrsamplesizeequiv( beta = 0.2, kMax = 1L, informationRates = NA_real_...
/CRAN/refmans/lrstat/html/lrsamplesizeequiv.html
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R: Sample size for equivalence in restricted mean survival time...
rmsamplesizeequiv {lrstat} R Documentation Sample size for equivalence in restricted mean survival time difference Description Obtains the sample size for equivalence in restricted mean survival time...
/CRAN/refmans/lrstat/html/rmsamplesizeequiv.html
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R: Sample size for one-sample negative binomial rate
nbsamplesize1s {lrstat} R Documentation Sample size for one-sample negative binomial rate Description Obtains the needed accrual duration given power and follow-up time, the needed follow-up time given...
/CRAN/refmans/lrstat/html/nbsamplesize1s.html
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R: Find sample sizes when 2 Poisson means are estimated from...
...Poisson means are estimated from data Description Calculate sample sizes for two-sample differences in Poisson means when means are estimated from existing data Usage ss.fromdata.pois(xbar0, xbar1, m0...
/CRAN/refmans/ssanv/html/ss.fromdata.pois.html
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R: Sample size for equivalence in negative binomial rate ratio
...Sample size for equivalence in negative binomial rate ratio Description Obtains the sample size for equivalence in negative binomial rate ratio. Usage nbsamplesizeequiv( beta = 0.2, kMax = 1L...
/CRAN/refmans/lrstat/html/nbsamplesizeequiv.html
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R: Compute Power for RNA-Seq Experiments Assuming Poisson...
...(2013) to compute power for comparing RNA-seq expression across two groups assuming the Poisson distribution. Usage power.li (n, alpha, rho, mu0, w = 1, type = "w") Arguments n per-group sample size...
/CRAN/refmans/FDRsampsize/html/power.li.html
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R: Sample size for one-sample milestone survival probability
kmsamplesize1s {lrstat} R Documentation Sample size for one-sample milestone survival probability Description Obtains the needed accrual duration given power and follow-up time, the needed follow-up...
/CRAN/refmans/lrstat/html/kmsamplesize1s.html
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R: Most Powerful Test for Poisson Distribution
...for Poisson Distribution Description The most powerful test for a sample from Poisson distribution is given here. The test is obtained by an application of the Neyman-Pearson lemma. Usage MPPoisson...
/CRAN/refmans/ACSWR/html/MPPoisson.html
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R: Compute power for RNA-Seq experiments assuming Poisson...
...of Li et al (2013) to compute power for comparing RNA-seq expression across two groups assuming the Poisson distribution Usage power.li(n, alpha, rho, mu0, w, type) Arguments n per-group sample size...
/CRAN/refmans/FDRsamplesize2/html/power.li.html
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R: Sample size for one-sample restricted mean survival time
rmsamplesize1s {lrstat} R Documentation Sample size for one-sample restricted mean survival time Description Obtains the needed accrual duration given power and follow-up time, the needed follow-up...
/CRAN/refmans/lrstat/html/rmsamplesize1s.html
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R: Generate random samples from a Poisson distribution
...dataframes comprised of i.i.d. samples from a Poisson distribution. Usage sdf_rpois(sc, n, lambda, num_partitions = NULL, seed = NULL, output_col = "x") Arguments sc A Spark connection. n Sample Size...
/CRAN/refmans/sparklyr/html/sdf_rpois.html
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R: Power calculation for simple Poisson regression
...simple Poisson regression Description Power calculation for simple Poisson regression. Assume the predictor is normally distributed. Usage powerPoisson( beta0, beta1, mu.x1, sigma2.x1, mu.T = 1, phi...
/CRAN/refmans/powerMediation/html/powerPoisson.html
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R: Compute critical values for Poisson data
...Poisson data, using a Wald type upper boundary, which is flat with respect to the likelihood ratio function, and with a pre-specified upper limit on the sample size. It is often not possible to select...
/CRAN/refmans/EmpiricalCalibration/html/computeCvPoisson.html
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R: Stratified sequential Poisson sampling
...Poisson sampling Description Draw a stratified probability-proportional-to-size sample using the sequential and ordinary Poisson methods, and generate other order sampling schemes. Usage sps(x, n...
/CRAN/refmans/sps/html/sps.html
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R: Random values generation from the bivariate Poisson...
...values generation from the bivariate Poisson distribution. Usage rbp(n, lambda) Arguments n The sample size. lambda A vector with the three parameters, (\lambda_1,\lambda_2,\lambda_3) of the Poisson...
/CRAN/refmans/bivpois/html/rbp.html
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R: Power and Sample Size Calculation for Non-Proportional Hazards and Beyond
Power and Sample Size Calculation for Non-Proportional Hazards and Beyond Documentation for package ‘lrstat’ version 0.2.5 DESCRIPTION file. User guides, package vignettes and other...
/CRAN/refmans/lrstat/html/00Index.html
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R: Generate data from Gaussian, logistic and Poisson models.
...Gaussian, logistic and Poisson models used in the simulation part of Tian, Y. and Feng, Y., 2021. Usage models( family = c("gaussian", "binomial", "poisson"), type = c("all", "source", "target"), cov...
/CRAN/refmans/glmtrans/html/models.html
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R: Fit zero-inflated poisson-gamma model via EM Algorithm
...poisson-gamma model via EM Algorithm Description Fit zero-inflated poisson-gamma model via EM Algorithm Usage ZIPG_main( data, W, M, X, X_star, return_model = TRUE, pbWald_list = NULL, bWald_list...
/CRAN/refmans/ZIPG/html/ZIPG_main.html
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R: Return Poisson Empirical likelihood ratio for the given...
emplikH2P {emplik} R Documentation Return Poisson Empirical likelihood ratio for the given lambda, with 2-sample right censored data Description Compute the Poisson empirical likelihood ratio...
/CRAN/refmans/emplik/html/emplikH2P.html
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R: Compute critical values for Poisson regression data
...MaxSPRT test with Poisson regression data, using a Wald type upper boundary, which is flat with respect to the likelihood ratio function, and with a pre-specified upper limit on the sample size. It...
/CRAN/refmans/EmpiricalCalibration/html/computeCvPoissonRegression.html
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R: Poisson-Lindley Tolerance Intervals
...to the Poisson-Lindley distribution. Usage poislindtol.int(x, m = NULL, alpha = 0.05, P = 0.99, side = 1, ...) Arguments x A vector of raw data which is distributed according to a Poisson-Lindley...
/CRAN/refmans/tolerance/html/poislindtolint.html
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R: Estimation of the Population Total under Poisson Sampling...
...under Poisson Sampling Without Replacement Description Computes the Horvitz-Thompson estimator of the population total according to a PO sampling design Usage E.PO(y, Pik) Arguments y Vector, matrix...
/CRAN/refmans/TeachingSampling/html/E.PO.html
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R: ANOVA for two quasi Poisson regression models
...quasi Poisson regression models {Rfast} R Documentation ANOVA for two quasi Poisson regression models Description ANOVA for two quasi Poisson regression models. Usage anova_quasipois.reg(mod0, mod1, n)...
/CRAN/refmans/Rfast/html/anova_quasipois.reg.html
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R: Determines effective sample size of a parametric prior...
...sample size of a parametric prior distribution in Bayesian conjugate models (beta-binomial, gamma-exponential, gamma-Poisson, dirichlet-multinomial, normal-normal, inverse-chi-squared-normal, inverse-...
/CRAN/refmans/BayesESS/html/ess.html
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R: Goodness of fit test for the bivariate Poisson distribution
...Poisson distribution {bivpois} R Documentation Goodness of fit test for the bivariate Poisson distribution Description Goodness of fit test for the bivariate Poisson distribution. Usage bp.gof(x1, x2...
/CRAN/refmans/bivpois/html/bp.gof.html
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R: Bayesian inference for the true mean of Poisson distribution.
...inverse stable-Poisson model. The random variates can be used to simulate prior and posterior predictive distributions as well. Usage ispoi(x, B, alp, rho) Arguments x vector of Poisson count data. B...
/CRAN/refmans/InvStablePrior/html/ispoi.html
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R: Bayesian sample size determination using the power and...
...sample size determination using the power and normalized power prior for generalized linear models Description The BayesPPD (Bayesian Power Prior Design) package provides two categories of functions...
/CRAN/refmans/BayesPPD/html/BayesPPD-package.html
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R: One sample Poisson model
...{BayesDIP} R Documentation One sample Poisson model Description For a given planned sample size, the efficacy and futility boundaries, return the power, the type I error, the expected sample size...
/CRAN/refmans/BayesDIP/html/OneSamplePoisson.html
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R: Sample size for negative binomial rate ratio
nbsamplesize {lrstat} R Documentation Sample size for negative binomial rate ratio Description Obtains the needed accrual duration given power and follow-up time, the needed follow-up time given power...
/CRAN/refmans/lrstat/html/nbsamplesize.html
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R: Generalized Poisson regression
...Poisson regression Description Generalized Poisson regression. Usage gp.reg(y, x, tol = 1e-7) gp.reg2(y, x, tol = 1e-7) Arguments y The response variable, a vector with non negative integer values. x...
/CRAN/refmans/gp/html/gp.reg.html
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R: Sample size for difference in milestone survival...
kmsamplesize {lrstat} R Documentation Sample size for difference in milestone survival probabilities Description Obtains the needed accrual duration given power, accrual intensity, and follow-up time...
/CRAN/refmans/lrstat/html/kmsamplesize.html
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R: Function to conduct group sequential analyses for Poisson...
...Poisson is used for either continuous or group sequential analysis, or for a combination of the two. Unlike CV.Poisson and CV.G.Poisson, it is not necessary to pre-specify the group sizes before the...
/CRAN/refmans/Sequential/html/Analyze.Poisson.html
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R: Sample size for difference in restricted mean survival times
rmsamplesize {lrstat} R Documentation Sample size for difference in restricted mean survival times Description Obtains the needed accrual duration given power, accrual intensity, and follow-up time...
/CRAN/refmans/lrstat/html/rmsamplesize.html
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R: One sample Poisson model - Trial Design
...sample Poisson model - Trial Design Description Calculate the minimum planned sample size under an admissible design. The users decide the power and type-I-error, and pick the efficacy and futility...
/CRAN/refmans/BayesDIP/html/OneSamplePoisson.Design.html
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R: Given that the prior on M is a shifted Poisson, find the...
...Shifted Poisson of parameter Lambda, this function adopts a bisection method to find the value of \gamma such that the induced distribution on the number of clusters is centered around a user specifed...
/CRAN/refmans/AntMAN/html/AM_find_gamma_Pois.html
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R: Marginalized Zero-Inflated Poisson Regression Model
...uses the MZIP model to allow you to fit counts variables with excess zeroes while allowing for easy interpretations. This function assumes that the outcome and covariates are all the same sample size...
/CRAN/refmans/mzipmed/html/mzip.html
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R: Log-rank test sample size
lrsamplesize {lrstat} R Documentation Log-rank test sample size Description Obtains the needed accrual duration given power and follow-up time, the needed follow-up time given power and accrual...
/CRAN/refmans/lrstat/html/lrsamplesize.html
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R: Summarizing Bayesian Poisson Regression Fit
summary.poisreg {bpr} R Documentation Summarizing Bayesian Poisson Regression Fit Description This function is a method for class poisreg. It prints summary statistics and returns posterior estimates...
/CRAN/refmans/bpr/html/summary.poisreg.html
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R: EB Poisson-Gamma without Covariates
ebnocov {saeeb} R Documentation EB Poisson-Gamma without Covariates Description This function gives the area level EB and MSE estimator based on Clayton & Kaldor (1987). Usage ebnocov(y, data, e)...
/CRAN/refmans/saeeb/html/ebnocov.html
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R: Calculates statistical power, expected time to signal and...
...time to signal and expected sample size for group and continuous sequential analysis with Poisson data. Description The Performance.Poisson function calculates three different performance metrics for...
/CRAN/refmans/Sequential/html/Performance.Poisson.html
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R: Apply Poisson thinning to a matrix of count data.
...Apply Poisson thinning to a matrix of count data. Description This is now defunct. Please try out select_counts and thin_2group. Usage poisthin( mat, nsamp = nrow(mat), ngene = ncol(mat), gselect = c...
/CRAN/refmans/seqgendiff/html/poisthin.html
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R: Critical values for group and continuous sequential analysis...
...Poisson data, using a Wald type upper boundary, which is flat with respect to the likelihood ratio function, and with a pre-specified upper limit on the sample size. Usage CV.Poisson(SampleSize,D=0,M...
/CRAN/refmans/Sequential/html/CV.Poisson.html
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R: Prediction Interval for a Poisson Distribution
...a Poisson Distribution Description Estimate the mean of a Poisson distribution, and construct a prediction interval for the next k observations or next set of k sums. Usage predIntPois(x, k = 1, n.sum...
/CRAN/refmans/EnvStats/html/predIntPois.html
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R: Estimate Parameter of a Poisson Distribution
...a Poisson Distribution Description Estimate the mean of a Poisson distribution, and optionally construct a confidence interval for the mean. Usage epois(x, method = "mle/mme/mvue", ci = FALSE, ci.type...
/CRAN/refmans/EnvStats/html/epois.html
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R: Summarize Poisson negative binomial regression
summarize_glm_count {tern} R Documentation Summarize Poisson negative binomial regression Description Summarize results of a Poisson negative binomial regression. This can be used to analyze count...
/CRAN/refmans/tern/html/summarize_glm_count.html
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R: Performance and alpha spending for user-defined signaling...
...Poisson data. Description The function Performance.Threshold.Poisson calculates power, expected time to signal and alpha spending associated to any user-specified signaling threshold, flat or non-flat...
/CRAN/refmans/Sequential/html/Performance.Threshold.Poisson.html
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R: EB Poisson-Gamma with Covariates
...EB Poisson-Gamma with Covariates Description This function gives the area level EB and MSE estimator based on Wakefield (2006) model and the refinement model by Kismiantini (2007). Usage ebcov(formula...
/CRAN/refmans/saeeb/html/ebcov.html
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R: Calculates performance and signaling thresholds for...
...spending for sequential analysis with Poisson data. Description The function Performance.AlphaSpend.Poisson calculates power, expected time to signal, expected sample size and the signaling threshold...
/CRAN/refmans/Sequential/html/Performance.AlphaSpend.Poisson.html
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R: Estimate Quantiles of a Poisson Distribution
...of a Poisson Distribution Description Estimate quantiles of an Poisson distribution, and optionally contruct a confidence interval for a quantile. Usage eqpois(x, p = 0.5, method = "mle/mme/mvue", ci...
/CRAN/refmans/EnvStats/html/eqpois.html
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R: Estimate Dispersion for Poisson and Binomial GLM's and GLMM's
...for Poisson and Binomial GLM's and GLMM's Description Functions to compute an estimate of c-hat for binomial or Poisson GLM's and GLMM's using different estimators of overdispersion. Usage c_hat(mod...
/CRAN/refmans/AICcmodavg/html/c_hat.html
cran-help matching:
sample, size, poisson and poisson |