Package: mixlm 1.4.3

mixlm: Mixed Model ANOVA and Statistics for Education

The main functions perform mixed models analysis by least squares or REML by adding the function r() to formulas of lm() and glm(). A collection of text-book statistics for higher education is also included, e.g. modifications of the functions lm(), glm() and associated summaries from the package 'stats'.

Authors:Kristian Hovde Liland [aut, cre], Solve Sæbø¸ [ctb], R Core Team [ctb]

mixlm_1.4.3.tar.gz
mixlm_1.4.3.zip(r-4.7)mixlm_1.4.3.zip(r-4.6)mixlm_1.4.3.zip(r-4.5)
mixlm_1.4.3.tgz(r-4.6-any)mixlm_1.4.3.tgz(r-4.5-any)
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mixlm_1.4.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mixlm/json (API)

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

Bug tracker:https://github.com/khliland/mixlm/issues

On CRAN:

Conda:

5.68 score 1 stars 4 packages 88 scripts 811 downloads 3 mentions 50 exports 77 dependencies

Last updated from:96195946ba. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK154
source / vignettesOK183
linux-release-x86_64OK151
macos-release-arm64OK110
macos-oldrel-arm64OK96
windows-develOK105
windows-releaseOK99
windows-oldrelOK97
wasm-releaseOK113

Exports:Anovaanova_regAnovaMixAnovaMixMLMbackwardbest.subsetsCIgrandMeancldconfusioncontr.weightedeffect.labelsforwardfparseglmhasseModis.balancedlmlmerplotpropsPRESSPRESS.predPRESS.resprint.AnovaMixprint.AnovaMixMLMprint.CIgmprint.simple.glhtprint.summary.lmmprint.WFprop.test.ordinaryqr.lmmR2predrandom.workerrmsepRMSEPrparsesimple.glhtspearsonstepWisestepWiseBacksummary.lmmt_testt_test_sumt_test.defaultt_test.formulatallywideForwardz_testz_test_sumz_test.defaultz_test.formula

Dependencies:abindbackportsbootbroomcarcarDataclicodetoolscolorspacecowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2gluegtableisobandlabelinglatticeleapslifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmultcompmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplspracmapurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7sandwichscalesSparseMstringistringrsurvivalTH.datatibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo

Readme and manuals

Help Manual

Help pageTopics
Analysis of variance for regression.anova_reg
Analysis of variance (sequential SS)anova anova.lmm
Analysis of variance with SS type II or III (including mixed models).Anova Anova.lmm
Mixed model least squares analysis of variance (mixed ANOVA).AnovaMix AnovaMixMLM
F-test based best subset selection.best.subsets
Confidence interval for the grand mean of a linear modelCIgrandMean print.CIgm
Confusion matrix.confusion
Contrast matrix for weighted effect codingcontr.weighted
Create new effect labels for 'lm'effect.labels
F-test based model effect selection for linear models.backward forward print.WF stepWise stepWiseBack wideForward
Effects of formulas.fparse
Fitting Generalized Linear Modelsglm print.glm
Hasse Diagram from Linear ModelhasseMod
Balance cheking of models.is.balanced
Fitting Linear Modelslm lmer mixlm print.lmm qr.lmm random.worker summary.lmm
Property plots for relevant component analysisplotprops
Prediction fitsPRESS PRESS.pred PRESS.res R2pred RMSEP rmsep
Print method for objects of class(AnovaMix) and class(AnovaMixMLM)print print.AnovaMix print.AnovaMixMLM
Summarizing Linear Model Fitsprint.summary.lmm
Test of Equal or Given Proportions in text-book versionprop.test.ordinary
Removes function r() from formulas.rparse
Pairwise comparison with multiple testing compensation.cld print.simple.glht simple.glht
Standardized Pearson residualsspearson
Text book versions of t-tests and z-tests.t_test t_test.default t_test.formula t_test_sum z_test z_test.default z_test.formula z_test_sum
Tally of discrete numberstally