"confint.drc" <- function(object, parm, level = 0.95, pool = TRUE, ...)
#"confint.drc" <- function(object, parm, level = 0.95, type = "t", pool = TRUE, ...)
{
## Matching parameter names
if (!missing(parm))
{
matchVec <- object$"parNames"[[2]] %in% parm
if (!any(matchVec)) {stop("The 'parm' argument does not match an actual parameter")}
} else {
matchVec <- rep(TRUE, length(object$"parNames"[[2]]))
}
## Constructing matrix of confidence intervals
confint.basic(summary(object, pool = pool)$"coefficients"[matchVec, 1:2, drop = FALSE],
level, object$"type", df.residual(object))
# ## Retrieving estimates and estimated standard errors
# estMat <- summary(object, pool = pool)$"coefficients"[matchVec, 1:2, drop = FALSE]
#
# ## Constructing matrix of confidence intervals
# confMat <- matrix(0, dim(estMat)[1], 2)
#
# alphah <- (1 - level)/2
# if (type == "u") {two <- qnorm(1 - alphah)}
# if (type == "t") {two <- qt(1 - alphah, df.residual(object))}
# confMat[, 1] <- estMat[, 1] - two * estMat[, 2]
# confMat[, 2] <- estMat[, 1] + two * estMat[, 2]
#
# ## Formatting matrix
# colnames(confMat) <- c(paste(format(100 * alphah), "%", sep = " "), paste(format(100*(1 - alphah)), "%", sep = " ") )
# rownames(confMat) <- rownames(estMat)
#
# return(confMat)
}
## Defining basic function for providing confidence intervals
"confint.basic" <- function(estMat, level, intType, dfres, formatting = TRUE)
{
alphah <- (1 - level)/2
# if (type == "u") {two <- qnorm(1 - alphah)}
# if (type == "t") {two <- qt(1 - alphah, df.residual(object))}
tailPercentile <- switch(intType,
binomial = qnorm(1 - alphah),
continuous = qt(1 - alphah, dfres),
event = qnorm(1 - alphah),
Poisson = qnorm(1 - alphah))
estVec <- estMat[, 1]
halfLength <- tailPercentile * estMat[, 2]
confMat <- matrix(c(estVec - halfLength, estVec + halfLength), ncol = 2)
## Formatting matrix
if (formatting)
{
colnames(confMat) <- c(paste(format(100 * alphah), "%", sep = " "), paste(format(100*(1 - alphah)), "%", sep = " "))
rownames(confMat) <- rownames(estMat)
}
return(confMat)
}
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