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.
|Author||Kristian Hovde Liland [aut, cre], Solve Sb [ctb], R-Core [ctb]|
|Date of publication||2016-10-08 22:31:14|
|Maintainer||Kristian Hovde Liland <firstname.lastname@example.org>|
|License||GPL (>= 2)|
Anova: Analysis of variance with SS type II or III (including mixed...
anova.lmm: Analysis of variance (sequential SS)
AnovaMix: Mixed model least squares analysis of variance (mixed ANOVA).
anova_reg: Analysis of variance for regression.
best.subsets: F-test based best subset selection.
CIgrandMean: Confidence interval for the grand mean of a linear model
confusion: Confusion matrix.
effect.labels: Create new effect labels for 'lm'
forward: F-test based model effect selection for linear models.
fparse: Effects of formulas.
glm: Fitting Generalized Linear Models
is.balanced: Balance cheking of models.
lm: Fitting Linear Models
plotprops: Property plots for relevant component analysis
PRESS: Prediction fits
print.AnovaMix: Print method for objects of class(AnovaMix)
print.summary.lmm: Summarizing Linear Model Fits
prop.test.ordinary: Test of Equal or Given Proportions in text-book version
rparse: Removes function r() from formulas.
simple.glht: Pairwise comparison with multiple testing compensation.
spearson: Standardized Pearson residuals
tally: Tally of discrete numbers
t_test: Text book versions of t-tests and z-tests.