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mixlm (version 1.2.6)

Mixed Model ANOVA and Statistics for Education

Description

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'.

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Install

install.packages('mixlm')

Monthly Downloads

1,428

Version

1.2.6

License

GPL (>= 2)

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Maintainer

Kristian Hovde Liland

Last Published

February 24th, 2022

Functions in mixlm (1.2.6)

forward

F-test based model effect selection for linear models.
anova_reg

Analysis of variance for regression.
PRESS

Prediction fits
best.subsets

F-test based best subset selection.
confusion

Confusion matrix.
CIgrandMean

Confidence interval for the grand mean of a linear model
effect.labels

Create new effect labels for lm
Anova.lmm

Analysis of variance with SS type II or III (including mixed models).
anova.lmm

Analysis of variance (sequential SS)
rparse

Removes function r() from formulas.
tally

Tally of discrete numbers
simple.glht

Pairwise comparison with multiple testing compensation.
fparse

Effects of formulas.
glm

Fitting Generalized Linear Models
print.AnovaMix

Print method for objects of class(AnovaMix)
plotprops

Property plots for relevant component analysis
is.balanced

Balance cheking of models.
prop.test.ordinary

Test of Equal or Given Proportions in text-book version
t_test

Text book versions of t-tests and z-tests.
spearson

Standardized Pearson residuals
print.summary.lmm

Summarizing Linear Model Fits
lm

Fitting Linear Models
AnovaMix

Mixed model least squares analysis of variance (mixed ANOVA).