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mixlm (version 1.2.3)

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

623

Version

1.2.3

License

GPL (>= 2)

Maintainer

Kristian Hovde Liland

Last Published

January 3rd, 2018

Functions in mixlm (1.2.3)

Anova.lmm

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

Print method for objects of class(AnovaMix)
effect.labels

Create new effect labels for lm
forward

F-test based model effect selection for linear models.
print.summary.lmm

Summarizing Linear Model Fits
prop.test.ordinary

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

Confidence interval for the grand mean of a linear model
anova.lmm

Analysis of variance (sequential SS)
PRESS

Prediction fits
anova_reg

Analysis of variance for regression.
fparse

Effects of formulas.
is.balanced

Balance cheking of models.
glm

Fitting Generalized Linear Models
spearson

Standardized Pearson residuals
lm

Fitting Linear Models
t_test

Text book versions of t-tests and z-tests.
best.subsets

F-test based best subset selection.
confusion

Confusion matrix.
rparse

Removes function r() from formulas.
simple.glht

Pairwise comparison with multiple testing compensation.
tally

Tally of discrete numbers
AnovaMix

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

Property plots for relevant component analysis