Pwr.lme | R Documentation |
This is method for Pwr()
generic function. It
works fine for an example given in the book. It may
require additional testing, especially for post-hoc power
analysis
## S3 method for class 'lme' Pwr(object, ..., type = c("sequential", "marginal"), Terms, L, verbose = FALSE, sigma, ddf = numeric(0), alpha = 0.05, altB = NULL, tol = 1e-10)
object |
an object containing |
... |
some additional arguments may be required. |
type |
an optional character string specifying the
type of sum of squares to be used in F-tests needed for
power calculations. Syntax is the same as for
|
Terms |
an optional integer or character vector
specifying which terms in the model should be jointly
tested to be zero using a Wald F-test. See
|
L |
an optional numeric vector or array specifying
linear combinations of the coefficients in the model that
should be tested to be zero. See |
verbose |
an optional logical value. See
|
sigma |
numeric scalar value. |
ddf |
numeric scalar value. Argument can be used to redefine default number of denominator degrees of freedom |
alpha |
numeric scalar value. By default 0.05. |
altB |
matrix/vector containing alternative values for beta parameters |
tol |
numeric scalar value. |
a data frame inheriting from class Pwr.lme
Andrzej Galecki and Tomasz Burzykowski
anova.lme
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