| csimint {multcomp} | R Documentation |
Computes simultaneous intervals for several multiple procedures based on precomputed parameter estimates.
csimint(estpar, df, covm, cmatrix = NULL,
ctype = "user-defined", conf.level = 0.95,
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.hmtest. |
conf.level |
confidence level. |
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 simint. If only parameter
estimates and estimates of the (co)variances are available, simultaneous
confidence intervals can be computed with this low-level function. See
cholesterol for an example.
an object of class hmtest
Frank Bretz <bretz@ifgb.uni-hannover.de> and
Torsten Hothorn <Torsten.Hothorn@rzmail.uni-erlangen.de>
Frank Bretz, Alan Genz and Ludwig A. Hothorn (2001), On the numerical availability of multiple comparison procedures. Biometrical Journal, 43(5), 645–656.