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## methods for texreg
##' @param model a glmmTMB model
##' @export
##' @importFrom stats coef
##' @rawNamespace if(requireNamespace("texreg")) importFrom(texreg,extract)
##'
extract.glmmTMB <- function(model) {
cc <- coef(summary(model))
cc <- cc[!vapply(cc,is.null,logical(1))]
nn <- names(cc)
pref <- ifelse(nn=="cond","",paste0(nn,"_"))
names <- unlist(Map(function(x,y) paste0(x,rownames(y)),
pref,cc))
co <- unlist(lapply(cc,function(x) x[,"Estimate"]))
se <- unlist(lapply(cc,function(x) x[,"Std. Error"]))
pval <- unlist(lapply(cc,function(x) x[,"Pr(>|z|)"]))
## alternately could do something like
## rownames(unlist(cc)) -> gsub("\\.","_",.)
## -> gsub("cond_","")
if (!requireNamespace("texreg")) {
stop("must have texreg package installed")
}
tr <- texreg::createTexreg(
coef.names = names,
coef = co,
se = se,
pvalues = pval
## use AIC/BIC/logLik?
## gof.names = gof.names,
## gof = gof
)
return(tr)
}
## setMethod("extract", signature = className("glmmTMB", "glmmTMB"),
## definition = extract.glmmTMB)
#' @param x an expression to evaluate
#' @param stop_ex regular expression for truncating output
#' @param stop_which which occurrence of \code{stop_ex} to find
#' @importFrom utils capture.output
verbatim <- function(x, stop_ex=NULL, stop_which=1)
{
txt <- trimws(capture.output(x))
if (!is.null(stop_ex)) {
txt <- txt[seq(grep(stop_ex,txt)[stop_which]-1)]
}
txt <- c("\\begin{verbatim}", txt, "\\end{verbatim}")
cat(txt, sep="\n")
}
setOldClass("glmmTMB")
setMethod("extract","glmmTMB",extract.glmmTMB)
## m1 <- glmmTMB(formula = count ~ mined + (1 | site), data = Salamanders,
## family = poisson, ziformula = ~mined, dispformula = ~1)
## verbatim(summary(m1), "Random effects:")
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