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% Generated by roxygen2: do not edit by hand

% Please edit documentation in R/denom_df.R

\name{dof_KR}

\alias{dof_KR}

\alias{dof_satt}

\title{compute denominator degrees-of-freedom approximations}

\usage{

dof_KR(model)

dof_satt(model, L = diag(length(fixef(model)$cond)))

}

\arguments{

\item{model}{a fitted \code{glmmTMB} object}

\item{L}{a contrast matrix: by default, equal to an identity matrix (i.e., ddfs are returned

for each fixed-effect parameter)}

}

\value{

a named vector of ddf for each conditional fixed-effect parameter; \code{dof_KR} includes attributes 'vcov'

(Kenward-Roger adjusted covariance matrix) and 'se' (the corresponding standard errors)

}

\description{

\code{dof_KR} uses an adaptation of the machinery from the \code{pbkrtest} package

to compute the Kenward-Roger approximation of the 'denominator degrees of freedom' for

each fixed-effect coefficient in the conditional model; \code{dof_satt} does the same

for Satterthwaite approximations

}

\details{

Kenward-Roger adjustments \emph{should not be used} for models fitted with ML rather than REML;

the theory is only well understood, and the model is only tested, for LMMs (\code{family = "gaussian"}).

Use at your own risk for GLMMs!

}