multcomp (version 1.2-12)

multcomp-deprecated: Deprecated Functions multcomp Package

Description

These functions are provided for compatibility with older versions of multcomp only, and may be defunct in the next release.

Usage

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=1000000)
## S3 method for class 'default':
simint(object,
    type = c("Dunnett", "Tukey", "Sequen", "AVE", "Changepoint", 
    "Williams", "Marcus", "McDermott"),
    cmatrix = NULL, conf.level = 0.95,
    alternative = c("two.sided","less","greater"),
    eps = 0.001, maxpts = 1e+06, whichf)
## S3 method for class 'formula':
simint(formula, data=list(), subset, na.action, ...)
## S3 method for class 'lm':
simint(object, psubset = NULL, ...)
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=1000000)
## S3 method for class 'default':
simtest(object,
    type = c("Dunnett", "Tukey", "Sequen", "AVE", "Changepoint", 
    "Williams", "Marcus", "McDermott"),
    ttype = c("free", "logical"),
    cmatrix = NULL, conf.level = 0.95,
    alternative = c("two.sided","less","greater"), 
    eps = 0.001, maxpts = 1e+06, whichf)
## S3 method for class 'formula':
simtest(formula, data=list(), subset, na.action, ...)
## S3 method for class 'lm':
simtest(object, psubset = NULL, ...)

Arguments

type
the type of contrast to be used.
cmatrix
the contrast matrix itself can be specified. If cmatrix is defined, type is ignored.
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.
psubset
a vector of integers or characters indicating for which subset of coefficients of a (generalized) linear model y simultaneous confidences intervals should be computed.
formula
a symbolic description of the model to be fit.
data
an optional data frame containing the variables in the model. By default the variables are taken from Environment(formula), typically the environment from which simint is called.
subset
an optional vector specifying a subset of observations to be used.
na.action
a function which indicates what should happen when the data contain NA's. Defaults to GetOption("na.action").
whichf
if more than one factor is given in the right hand side of formula, whichf can be used to defined the factor to compute contrasts of.
ttype
Specifies whether the logical constraint method of Westfall (1997) will be used, or whether the unconstrained method will be used.
estpar
estimated parameter vector.
df
degrees of freedom.
covm
estimated covariance matrix of estpar.
ctype
a string describing the kind of contrast matrix used.
object
a fitted model.
...
further arguments to be passed to or from methods.

Details

The generics simint and simtest implement the user interface for multcomp versions up to 0.4-8. The user visible functions simint, csimint, simtest, csimtest have been replaced by one single function glht which offers summary.glht and confint.glht methods for simultaneous tests and confidence intervals, respectively.

Please use glht for your analyses. The old user interface will be removed in future versions of this package.