Package: CLME 2.0-13

CLME: Constrained Inference for Linear Mixed Effects Models

Estimation and inference for linear models where some or all of the fixed-effects coefficients are subject to order restrictions. This package uses the robust residual bootstrap methodology for inference, and can handle some structure in the residual variance matrix.

Authors:Casey M. Jelsema [aut, cre], Shyamal D. Peddada [aut]

CLME_2.0-13.tar.gz
CLME_2.0-13.zip(r-4.7-any)CLME_2.0-13.zip(r-4.6-any)CLME_2.0-13.zip(r-4.5-any)
CLME_2.0-13.tgz(r-4.6-any)CLME_2.0-13.tgz(r-4.5-any)
CLME_2.0-13.tar.gz(r-4.7-any)CLME_2.0-13.tar.gz(r-4.6-any)
CLME_2.0-13.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
CLME/json (API)

# Install 'CLME' in R:
install.packages('CLME', repos = c('https://jelsema.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jelsema/clme/issues

Datasets:

On CRAN:

Conda:

4.54 score 2 stars 35 scripts 530 downloads 5 mentions 20 exports 60 dependencies

Last updated from:cc191610b3. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK163
source / vignettesOK228
linux-releaseOK147
macos-releaseOK183
macos-oldrelOK239
windows-develOK118
windows-releaseOK100
windows-oldrelOK105
wasm-releaseOK112

Exports:as.clmeclmeclme_emclme_em_fixedclme_em_mixedclme_residscreate.constraintsfixed.effectsis.clmelrt.statminquemodel_terms_clmerandom.effectsresid_bootshiny_clmeshinyServer_clmeshinyUI_clmeVarCorrw.statw.stat.ind

Dependencies:base64encbootbslibcachemclicommonmarkcrosstalkdigestDTevaluatefastmapfontawesomefsgluehighrhtmltoolshtmlwidgetshttpuvisotonejquerylibjsonliteknitrlaterlatticelazyevallifecyclelme4magrittrMASSMatrixmemoisemimeminqanlmenloptrnnlsopenxlsxotelpromisesR6rappdirsrbibutilsRcppRcppEigenRdpackreformulasrlangrmarkdownsassshinysourcetoolsstringistringrtinytexvctrswithrxfunxtableyamlzip

Readme and manuals

Help Manual

Help pageTopics
Constrained inference for linear mixed models.CLME-package CLME
Akaike information criterionAIC.clme AIC.summary.clme
Bayesian information criterionBIC.clme BIC.summary.clme
Constrained Inference for Linear Mixed Effects Modelsclme
Constrained EM algorithm for linear fixed or mixed effects models.clme_em clme_em_fixed clme_em_mixed
Computes various types of residualsclme_resids
Individual confidence intervalsconfint.clme confint.summary.clme
Generate common order constraintscreate.constraints
Fibroid Growth Studyfibroid
Extract fixed effectscoef.clme coef.summary.clme coefficients.clme coefficients.summary.clme fixed.effects fixed.effects.clme fixed.effects.summary.clme fixef.clme fixef.summary.clme
Extract formulaformula.clme
Constructor method for objects S3 class clmeas.clme is.clme
Log-likelihoodlogLik.clme logLik.summary.clme
Likelihood ratio type statistic (global)lrt.stat
MINQUE Algorithmminque
Create model matrices for 'clme'model_terms_clme
Extract the model design matrix.model.matrix.clme model.matrix.summary.clme
Number of observationsnobs.clme nobs.summary.clme
S3 method to plot objects of class 'clme'plot.clme
S3 method to plot objects of class 'clme'plot.summary.clme
Printout of fitted object.print.clme
S3 method to print a summary for objects of class 'clme'print.summary.clme
Printout for variance componentsprint.varcorr_clme
Extract random effectsrandom.effects random.effects.summary.clme
Extract random effectsrandom.effects.clme ranef.clme ranef.summary.clme
Experiment on micerat.blood
Obtain Residual Bootstrapresid_boot
Various types of residualsresiduals.clme residuals.summary.clme
Shiny GUI for CLMEshinyServer_clme shinyUI_clme shiny_clme
Residual variance componentssigma.clme
Residual variance componentssigma.summary.clme
Produce summary values for objects of class 'clme'summary.clme
Variance componentsVarCorr VarCorr.clme VarCorr.summary.clme
Variance-covariance matrixvcov.clme vcov.summary.clme
Williams' Type Test Statistic.w.stat w.stat.ind