Package: mixlm 1.4.0

Kristian Hovde Liland

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 [ctb]

mixlm_1.4.0.tar.gz
mixlm_1.4.0.tar.gz(r-4.5-noble)mixlm_1.4.0.tar.gz(r-4.4-noble)
mixlm_1.4.0.tgz(r-4.4-emscripten)mixlm_1.4.0.tgz(r-4.3-emscripten)
mixlm.pdf |mixlm.html✨
mixlm/json (API)
NEWS

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

Peer review:

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

4.04 score 3 packages 56 scripts 1.4k downloads 3 mentions 48 exports 69 dependencies

Last updated 2 months agofrom:cdc05359d5. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 07 2024
R-4.5-linuxOKDec 07 2024

Exports:Anovaanova_regAnovaMixbackwardbest.subsetsCIgrandMeancldconfusioncontr.weightedeffect.labelsforwardfparseglmhasseModis.balancedlmlmerplotpropsPRESSPRESS.predPRESS.resprint.AnovaMixprint.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:abindbackportsbootbroomcarcarDataclicodetoolscolorspacecowplotcpp11DerivdoBydplyrfansifarverFormulagenericsggplot2gluegtableisobandlabelinglatticeleapslifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmultcompmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplspracmapurrrquantregR6RColorBrewerRcppRcppEigenrlangsandwichscalesSparseMstringistringrsurvivalTH.datatibbletidyrtidyselectutf8vctrsviridisLitewithrzoo

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
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)print print.AnovaMix
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