#' @title Methods for \code{zouwquantreg} Objects
#'
#' @description Methods for extracting information from fitted unit-Weibull quantile regression
#' objects of class \code{\link{zouwquantreg}}.
#'
#' @author André F. B. Menezes \email{andrefelipemaringa@gmail.com}
#'
#' @param object,x fitted model object of class \code{\link{zouwquantreg}}.
#' @param digits minimal number of _significant_ digits
#' the estimated parameters is returned and printed. Default is \code{FALSE}.
#' @param parm a specification of which parameters are to be given confidence intervals,
#' either a vector of numbers or a vector of names. If missing, all parameters are considered.
#' @param level the confidence level required.
#' @param type character indicating type of fitted values to return.
#' @param what character indicating what component return the confidence intervals.
#' If \code{quant} return coefficients from quantile model,
#' if \code{infl} return coefficients from inflation model. If \code{both} a list with parameters from
#' quantile and inflation models.
#' @param ... additional argument(s) for methods. Currently not used.
#'
#' @importFrom stats pnorm cov2cor coef vcov printCoefmat confint
#'
#' @name methods-zouwquantreg
NULL
#' @rdname methods-zouwquantreg
#' @export
print.zouwquantreg <- function(x, digits = 4, ...) {
inf <- ifelse(x$inflation == 0, "Zero", "One")
cat("\n", inf, " Inflated unit-Weibull quantile regression model \n", sep = "")
cat("\nCall: ", paste(deparse(x$call), sep = "\n", collapse = "\n"), "\n\n", sep = "")
cat("Mu coefficients (quantile model with ", x$link, " link and tau = ", x$tau, "): \n", sep = "")
print.default(FF(x$fit_quant$mu_coefficients, Digits = digits), print.gap = 2, quote = FALSE)
cat("\n")
if(!is.null(x$link.phi)) {
cat("Phi coefficients (shape model with ", x$link.phi, " link):", "\n", sep = "")
print.default(FF(x$fit_quant$phi_coefficients, Digits = digits), print.gap = 2, quote = FALSE)
cat("\n")
}
else {
cat("Model with constant shape parameter:", "\n", sep = "")
print.default(FF(x$fit_quant$phi_coefficients, Digits = digits), print.gap = 2, quote = FALSE)
cat("\n")
}
cat("Nu coefficients (degenerate model at ", inf, " with ", x$link.nu, " link function)\n", sep = "")
print.default(FF(x$fit_infl$coefficients, Digits = digits), print.gap = 2, quote = FALSE)
cat("\n")
invisible(x)
}
# Summary -----------------------------------------------------------------
#' @rdname methods-zouwquantreg
#' @export
summary.zouwquantreg <- function(object, ...) {
s1 <- summary(object$fit_quant)
s2 <- summary(object$fit_infl)
table <- list(quant = s1$coeftable,
infl = s2$coefficients)
out <- list(coeftable = table,
call = object$call,
tau = object$tau,
link = object$link,
link.phi = object$link.phi,
link.nu = object$link.nu,
inflation = object$inflation,
npar = c(mu = length(object$fit_quant$mu_coefficients),
phi = length(object$fit_quant$phi_coefficients),
nu = length(object$fit_infl$coefficients)))
class(out) <- "summary.zouwquantreg"
out
}
# Print output summary ----------------------------------------------------
#' @export
print.summary.zouwquantreg <- function(x, digits = 4, ...) {
p <- x$npar[1]
q <- x$npar[2]
inf <- ifelse(x$inflation == 0, "Zero", "One")
cat("\n Wald-tests for ", inf, " Inflated unit-Weibull quantile regression model", "\n" ,sep = "")
cat("\nCall:\n", paste(deparse(x$call), sep = "\n", collapse = "\n"), "\n\n", sep = "")
cat("Mu coefficients: (quantile model with ", x$link, " link and tau = ", x$tau, "): \n", sep = "")
printCoefmat(x$coeftable$quant[1:p, , drop = FALSE], digits = digits, has.Pvalue = TRUE)
cat("\n")
if(q > 1) {
cat("Phi coefficients (shape model with ", x$link.phi, " link):", "\n", sep = "")
printCoefmat(x$coeftable$quant[1:p + q, , drop = FALSE], digits = digits, has.Pvalue = TRUE)
cat("\n")
}
else {
id <- 1:p + q
cat("Model with constant shape:", "\n", sep = "")
printCoefmat(x$coeftable$quant[id[length(id)], , drop = FALSE], digits = digits, has.Pvalue = TRUE)
cat("\n")
}
cat("Nu coefficients (degenerate model at ", inf, " with ", x$link.nu, " link function): \n", sep = "")
printCoefmat(x$coeftable$infl[, , drop = FALSE], digits = digits, has.Pvalue = TRUE)
cat("\n")
invisible(x)
}
# coef function -----------------------------------------------------------
#' @rdname methods-zouwquantreg
#' @export
coef.zouwquantreg <- function(object, ...) {
if(!missing(...)) {
warning("Extra arguments discarded")
}
list(
quant = coef(object$fit_quant),
infl = coef(object$fit_infl)
)
}
# vcov function -----------------------------------------------------------
#' @rdname methods-zouwquantreg
#' @export
vcov.zouwquantreg <- function(object, ...) {
if(!missing(...)) {
warning("Extra arguments discarded")
}
list(
quant = vcov(object$fit_quant),
infl = vcov(object$fit_infl)
)
}
# logLik function ---------------------------------------------------------
#' @rdname methods-zouwquantreg
#' @export
logLik.zouwquantreg <- function(object, ...) {
if (!missing(...)) {
warning("extra arguments discarded")
}
ll <- object$loglik
attr(ll, "df") <- object$npar
attr(ll, "nobs") <- object$nobs
class(ll) <- "logLik"
ll
}
# confint function --------------------------------------------------------
#' @rdname methods-zouwquantreg
#' @export
confint.zouwquantreg <- function(object, parm, level = 0.95, what = c("both", "quant", "infl"), ...)
{
if (length(what) > 1) what <- "both"
pnames <- list(
names(object$fit_quant$coefficients),
names(object$fit_infl$coefficients)
)
if (missing(parm)) {
parm <- pnames
}
else if (is.numeric(parm)) {
parm <- pnames[parm]
}
switch (what,
"both" = list(
quant = confint(object$fit_quant, parm=parm[[1]], level=level),
infl = confint(object$fit_infl, parm=parm[[2]], level=level)
),
"quant" = confint(object$fit_quant, parm=parm[[1]], level=level),
"infl" = confint(object$fit_infl, parm=parm[[2]], level=level)
)
}
#' @rdname methods-zouwquantreg
#' @export
fitted.zouwquantreg <- function(object, type = c("mu", "phi", "nu", "all"), ...) {
if (!missing(...)) {
warning("Extra arguments discarded")
}
if (length(type) != 1) type <- "mu"
switch (type,
"all" = list(mu = fitted(object$fit_quant, type = "mu"),
phi = fitted(object$fit_quant, type = "phi"),
nu = fitted(object$fit_infl)),
"mu" = fitted(object$fit_quant, type = "mu"),
"phi" = fitted(object$fit_quant, type = "phi"),
"nu" = fitted(object$fit_infl)
)
}
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