| csimtest {multcomp} | R Documentation |
Computes multiplicity adjusted p-values based on precomputed parameter estimates.
csimtest(estpar, df, covm, cmatrix = NULL,
ctype = "user-defined", ttype = c("free", "logical"),
alternative = c("two.sided", "less", "greater"),
asympt = FALSE, eps = 0.001, maxpts = 1e+06)
estpar |
estimated parameter vector. |
df |
degrees of freedom. |
covm |
estimated covariance matrix of estpar. |
cmatrix |
contrast matrix. |
ctype |
a string decribing the kind of contrast matrix used. Only
used for printing in print.hmtestp. |
ttype |
Specifies whether the logical contraint method of Westfall (1997) will be used, or whether the uncontrained method will be used. |
alternative |
the alternative hypothesis must be
one of "two.sided" (default), "greater" or
"less". You can specify just the initial letter. |
asympt |
a logical indicating whether the (exact) t-distribution or the normal approximation should be used. |
eps |
absolute error tolerance as double. |
maxpts |
maximum number of function values as integer. |
This is the work-horse for simtest. If only parameter
estimates and estimates of the (co)variances are available, adjusted
p-values can be computed with this low-level function. See
cholesterol for an example.
an object of class hmtestp
Frank Bretz <bretz@ifgb.uni-hannover.de> and
Torsten Hothorn <Torsten.Hothorn@rzmail.uni-erlangen.de>
Peter Westfall (1997), Multiple testing of general contrasts using logical constraints and correlations, Journal of the American Statistical Association, 92(437), 299–306.
Frank Bretz, Alan Genz and Ludwig A. Hothorn (2001), On the numerical availability of multiple comparison procedures. Biometrical Journal, 43(5), 645–656.