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mixlm (version 1.2.4)

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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Version

Install

install.packages('mixlm')

Monthly Downloads

1,220

Version

1.2.4

License

GPL (>= 2)

Maintainer

Kristian Hovde Liland

Last Published

December 13th, 2019

Functions in mixlm (1.2.4)

best.subsets

F-test based best subset selection.
effect.labels

Create new effect labels for lm
anova.lmm

Analysis of variance (sequential SS)
Anova.lmm

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

Confidence interval for the grand mean of a linear model
PRESS

Prediction fits
print.AnovaMix

Print method for objects of class(AnovaMix)
plotprops

Property plots for relevant component analysis
fparse

Effects of formulas.
glm

Fitting Generalized Linear Models
tally

Tally of discrete numbers
lm

Fitting Linear Models
is.balanced

Balance cheking of models.
spearson

Standardized Pearson residuals
t_test

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

Removes function r() from formulas.
print.summary.lmm

Summarizing Linear Model Fits
simple.glht

Pairwise comparison with multiple testing compensation.
prop.test.ordinary

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

Analysis of variance for regression.
forward

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

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

Confusion matrix.