gee_var_select: Small wrapper function of the geesmv package

In jkruppa/geeTools:

Description

Small wrapper function of the geesmv package

Usage

gee_var_select(formula, idvar, data, varianceEstimator = NULL)

Arguments

formula	The formula of the analysis
idvar	The id cluster variable
data	The data set
varianceEstimator	Choose one of the following list: FayGrauband2001 GoshoSatoTakeuchi2014 KauermannCarroll2001 MorelBokossaNeerchal2003 ManclDeRouen2001 Mackinnon1985 Pan2001 WangLong2011 ##'

Details

Small wrapper function of the geesmv package

Value

type

Which sandwich variance estimator was chosen?

df.residual

Degree of freedom of the residuals

beta

Effect of the treatments

vbeta

Variance/Covariance matrix of beta

Author(s)

Jochen Kruppa

Examples

require(multcomp)
geeFit <- gee_var_select(formula = "resp ~ 0 + treat",
                         idvar = "litter",
                         data = litterGeeDf,
                         varianceEstimator = "WangLong2011")

summary(geeFit)

contrMat_n <- setNames(rep(1, length(names(geeFit$beta))),
                       names(geeFit$beta))

ggGee <- glht(parm(coef = geeFit$beta, vcov = geeFit$vbeta), 
              linfct = contrMat(contrMat_n, type = "Dunnett"))
ggGee$df <- geeFit$df.residual

summary(ggGee)
confint(ggGee)

jkruppa/geeTools documentation built on May 19, 2019, 12:45 p.m.