General Analysis of Variance

One-way analysis of variance...................................................................... anova_oneway

Analyzes a one-way classification model
with covariates..................................................................................................... ancovar

Analysis of variance for fixed effects,
balanced factorial designs  ........................................................................ anova_factorial

Nested random effects analysis of variance.................................................... anova_nested

Analysis of variance for balanced fixed,
random, or mixed models......................................................................... anova_balanced

Designed Experiments

Analysis of balanced and unbalanced completely
randomized factorial experiments.................................................................... crd_factorial

Analysis of balanced and unbalanced randomized
complete block factorial experiments............................................................. rcbd_factorial

Analysis of latin-square experiments............................................................... latin_square

Analysis of balanced and partially-balanced data from
lattice experiments................................................................................................. lattice

Analysis of split-plot experiments........................................................................ split_plot

Analysis of split-split-plot experiments......................................................... split_split_plot

Analysis of strip-plot experiments........................................................................ strip_plot

Analysis of strip-split-plot experiments......................................................... strip_split_plot

Utilities

Bartlett’s and Levene’s tests of the homogeneity
of variance assumption in analysis of variance................................................. homogeneity

Multiple comparisons of means......................................................... multiple_comparisons

False discovery rates....................................................................... false_discovery_rates

Yates’ method for estimating missing observations in
designed experiments............................................................................................. yates

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