R/quantreg-nlrq-tidiers.R

Defines functions glance.nlrq tidy.nlrq

Documented in glance.nlrq tidy.nlrq

#' @templateVar class nlrq
#' @template title_desc_tidy
#'
#' @param x A `nlrq` object returned from [quantreg::nlrq()].
#' @template param_confint
#' @template param_unused_dots
#'
#' @evalRd return_tidy(regression = TRUE)
#'
#' @aliases nlrq_tidiers
#' @export
#' @seealso [tidy()], [quantreg::nlrq()]
#' @family quantreg tidiers
#' @examplesIf rlang::is_installed("quantreg")
#' 
#' # load modeling library
#' library(quantreg)
#' 
#' # build artificial data with multiplicative error
#' set.seed(1)
#' dat <- NULL 
#' dat$x <- rep(1:25, 20)
#' dat$y <- SSlogis(dat$x, 10, 12, 2) * rnorm(500, 1, 0.1)
#' 
#' # fit the median using nlrq
#' mod <- nlrq(y ~ SSlogis(x, Asym, mid, scal), 
#'             data = dat, tau = 0.5, trace = TRUE)
#' 
#' # summarize model fit with tidiers
#' tidy(mod)
#' glance(mod)
#' augment(mod)
#' 
tidy.nlrq <- function(x, conf.int = FALSE, conf.level = 0.95, ...) {
  check_ellipses("exponentiate", "tidy", "nlrq", ...)
  
  ret <- as_tidy_tibble(
    coef(summary(x)), 
    new_names = c("estimate", "std.error", "statistic", "p.value")
  )

  if (conf.int) {
    x_summary <- summary(x)
    a <- (1 - conf.level) / 2
    cv <- qt(c(a, 1 - a), df = x_summary[["rdf"]])
    ret[["conf.low"]] <- ret[["estimate"]] + (cv[1] * ret[["std.error"]])
    ret[["conf.high"]] <- ret[["estimate"]] + (cv[2] * ret[["std.error"]])
  }
  as_tibble(ret)
}

#' @templateVar class nlrq
#' @template title_desc_glance
#'
#' @inherit tidy.nlrq params examples
#'
#' @evalRd return_glance(
#'   "tau",
#'   "logLik",
#'   "AIC",
#'   "BIC",
#'   "df.residual"
#' )
#'
#' @export
#' @seealso [glance()], [quantreg::nlrq()]
#' @family quantreg tidiers
#' @inherit tidy.nlrq examples
glance.nlrq <- function(x, ...) {

  n <- length(x[["m"]]$fitted())
  s <- summary(x)
  
  as_glance_tibble(
    tau = x[["m"]]$tau(),
    logLik = logLik(x),
    AIC = AIC(x),
    BIC = AIC(x, k = log(n)),
    df.residual = s[["rdf"]],
    na_types = "rrrri"
  )
}

#' @templateVar class nlrq
#' @template title_desc_tidy
#'
#' @param x A `nlrq` object returned from [quantreg::nlrq()].
#' @inherit augment.nls params examples return
#'
#' @export
#' @seealso [augment()], [quantreg::nlrq()]
#' @family quantreg tidiers
#' @include stats-nls-tidiers.R
#'
augment.nlrq <- augment.nls

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broom documentation built on Aug. 30, 2022, 1:07 a.m.