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mixlm (version 1.0.8.1)

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

1,036

Version

1.0.8.1

License

GPL (>= 2)

Maintainer

Kristian Hovde Liland

Last Published

January 31st, 2015

Functions in mixlm (1.0.8.1)

Anova.lmm

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

Prediction fits
prop.test.ordinary

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

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

Property plots for relevant component analysis
best.subsets

F-test based best subset selection.
anova_reg

Analysis of variance for regression.
AnovaMix

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

Removes function r() from formulas.
forward

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

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

Create new effect labels for lm
is.balanced

Balance cheking of models.
tally

Tally of discrete numbers
confusion

Confusion matrix.
spearson

Standardized Pearson residuals
CIgrandMean

Confidence interval for the grand mean of a linear model
glm

Fitting Generalized Linear Models
fparse

Effects of formulas.
print.summary.lmm

Summarizing Linear Model Fits
lm

Fitting Linear Models
simple.glht

Pairwise comparison with multiple testing compensation.
anova.lm

Analysis of variance (sequential SS)
print.summary.lm

Summarizing Linear Model Fits