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All functions

calc.theta()
Calculate variance covariance parameters
designCRD() designRCBD() designLSD() designCOD() designSPD() designCustom()
Creation of Experimental Designs
customLmerMod-class
Extend lmerModLmerTest class
df.cod()
Create a data frame for Crossover design
df.crd()
Create a data frame of completely randomized design
df.lsd()
Create a data frame for Latin square design
df.rcbd()
Create a data frame of randomized complete block design
df.spd()
Create data frame for split-plot design
find_sample_size()
Determine the sample size required to achieve the target power
fit.pseu.model()
Create an artificial model object
milk
An exemplary dataset of a 4x4 crossover design with 2 squares
pwr.anova()
Power of omnibus test
pwr.contrast()
Power of contrasts
theta.names()
Naming theta Naming the vector in the order of model specification and in the actual order used in the model