https://github.com/cran/bayestestR
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Tip revision: 601edcd8d1306ebea478657861c54fa9c69a52f3 authored by Dominique Makowski on 31 May 2021, 05:40 UTC
version 0.10.0
Tip revision: 601edcd
eti.R
#' Equal-Tailed Interval (ETI)
#'
#' Compute the \strong{Equal-Tailed Interval (ETI)} of posterior distributions using the quantiles method. The probability of being below this interval is equal to the probability of being above it. The ETI can be used in the context of uncertainty characterisation of posterior distributions as \strong{Credible Interval (CI)}.
#'
#' @inheritParams hdi
#' @inherit ci return
#' @inherit hdi details
#'
#' @examples
#' library(bayestestR)
#'
#' posterior <- rnorm(1000)
#' eti(posterior)
#' eti(posterior, ci = c(.80, .89, .95))
#'
#' df <- data.frame(replicate(4, rnorm(100)))
#' eti(df)
#' eti(df, ci = c(.80, .89, .95))
#' \dontrun{
#' library(rstanarm)
#' model <- stan_glm(mpg ~ wt + gear, data = mtcars, chains = 2, iter = 200, refresh = 0)
#' eti(model)
#' eti(model, ci = c(.80, .89, .95))
#'
#' library(emmeans)
#' eti(emtrends(model, ~1, "wt"))
#'
#' library(brms)
#' model <- brms::brm(mpg ~ wt + cyl, data = mtcars)
#' eti(model)
#' eti(model, ci = c(.80, .89, .95))
#'
#' library(BayesFactor)
#' bf <- ttestBF(x = rnorm(100, 1, 1))
#' eti(bf)
#' eti(bf, ci = c(.80, .89, .95))
#' }
#'
#' @export
eti <- function(x, ...) {
  UseMethod("eti")
}



#' @rdname eti
#' @export
eti.numeric <- function(x, ci = 0.95, verbose = TRUE, ...) {
  out <- do.call(rbind, lapply(ci, function(i) {
    .eti(x = x, ci = i, verbose = verbose)
  }))
  class(out) <- unique(c("bayestestR_eti", "see_eti", "bayestestR_ci", "see_ci", class(out)))
  attr(out, "data") <- x
  out
}



#' @rdname eti
#' @export
eti.data.frame <- function(x, ci = 0.95, verbose = TRUE, ...) {
  dat <- .compute_interval_dataframe(x = x, ci = ci, verbose = verbose, fun = "eti")
  attr(dat, "object_name") <- .safe_deparse(substitute(x))
  dat
}



#' @rdname eti
#' @export
eti.MCMCglmm <- function(x, ci = 0.95, verbose = TRUE, ...) {
  nF <- x$Fixed$nfl
  d <- as.data.frame(x$Sol[, 1:nF, drop = FALSE])
  dat <- .compute_interval_dataframe(x = d, ci = ci, verbose = verbose, fun = "eti")
  attr(dat, "data") <- .safe_deparse(substitute(x))
  dat
}



#' @export
eti.mcmc <- function(x, ci = 0.95, verbose = TRUE, ...) {
  d <- as.data.frame(x)
  dat <- .compute_interval_dataframe(x = d, ci = ci, verbose = verbose, fun = "eti")
  attr(dat, "data") <- .safe_deparse(substitute(x))
  dat
}



#' @export
eti.bamlss <- function(x, ci = 0.95, component = c("all", "conditional", "location"), verbose = TRUE, ...) {
  component <- match.arg(component)
  d <- insight::get_parameters(x, component = component)
  dat <- .compute_interval_dataframe(x = d, ci = ci, verbose = verbose, fun = "eti")
  attr(dat, "data") <- .safe_deparse(substitute(x))
  dat
}



#' @export
eti.bcplm <- function(x, ci = 0.95, verbose = TRUE, ...) {
  d <- insight::get_parameters(x)
  dat <- .compute_interval_dataframe(x = d, ci = ci, verbose = verbose, fun = "eti")
  attr(dat, "data") <- .safe_deparse(substitute(x))
  dat
}


#' @export
eti.bayesQR <- eti.bcplm

#' @export
eti.blrm <- eti.bcplm

#' @export
eti.mcmc.list <- eti.bcplm

#' @export
eti.BGGM <- eti.bcplm



#' @rdname eti
#' @export
eti.sim.merMod <- function(x, ci = 0.95, effects = c("fixed", "random", "all"), parameters = NULL, verbose = TRUE, ...) {
  effects <- match.arg(effects)
  dat <- .compute_interval_simMerMod(x = x, ci = ci, effects = effects, parameters = parameters, verbose = verbose, fun = "eti")
  out <- dat$result
  attr(out, "data") <- dat$data
  out
}



#' @rdname eti
#' @export
eti.sim <- function(x, ci = 0.95, parameters = NULL, verbose = TRUE, ...) {
  dat <- .compute_interval_sim(x = x, ci = ci, parameters = parameters, verbose = verbose, fun = "eti")
  out <- dat$result
  attr(out, "data") <- dat$data
  out
}



#' @rdname eti
#' @export
eti.emmGrid <- function(x, ci = 0.95, verbose = TRUE, ...) {
  xdf <- insight::get_parameters(x)

  dat <- eti(xdf, ci = ci, verbose = verbose, ...)
  attr(dat, "object_name") <- .safe_deparse(substitute(x))
  dat
}

#' @export
eti.emm_list <- eti.emmGrid

#' @rdname eti
#' @export
eti.stanreg <- function(x, ci = 0.95, effects = c("fixed", "random", "all"),
                        component = c("location", "all", "conditional", "smooth_terms", "sigma", "distributional", "auxiliary"),
                        parameters = NULL, verbose = TRUE, ...) {
  effects <- match.arg(effects)
  component <- match.arg(component)

  out <- .prepare_output(
    eti(insight::get_parameters(x, effects = effects, component = component, parameters = parameters), ci = ci, verbose = verbose, ...),
    insight::clean_parameters(x),
    inherits(x, "stanmvreg")
  )

  class(out) <- unique(c("bayestestR_eti", "see_eti", class(out)))
  attr(out, "object_name") <- .safe_deparse(substitute(x))
  out
}


#' @export
eti.stanfit <- eti.stanreg

#' @export
eti.blavaan <- eti.stanreg



#' @rdname eti
#' @export
eti.brmsfit <- function(x, ci = 0.95, effects = c("fixed", "random", "all"),
                        component = c("conditional", "zi", "zero_inflated", "all"),
                        parameters = NULL, verbose = TRUE, ...) {
  effects <- match.arg(effects)
  component <- match.arg(component)

  out <- .prepare_output(
    eti(insight::get_parameters(x, effects = effects, component = component, parameters = parameters), ci = ci, verbose = verbose, ...),
    insight::clean_parameters(x)
  )

  class(out) <- unique(c("bayestestR_eti", "see_eti", class(out)))
  attr(out, "object_name") <- .safe_deparse(substitute(x))
  out
}



#' @rdname eti
#' @export
eti.BFBayesFactor <- function(x, ci = 0.95, verbose = TRUE, ...) {
  out <- eti(insight::get_parameters(x), ci = ci, verbose = verbose, ...)
  attr(out, "object_name") <- .safe_deparse(substitute(x))
  out
}


#' @export
eti.get_predicted <- function(x, ...) {
  if ("iterations" %in% names(attributes(x))) {
    out <- hdi(as.data.frame(t(attributes(x)$iterations)), ...)
  } else {
    stop("No iterations present in the output.")
  }
  attr(out, "object_name") <- .safe_deparse(substitute(x))
  out
}

# Helper ------------------------------------------------------------------


#' @importFrom stats quantile
.eti <- function(x, ci, verbose = TRUE) {
  check_ci <- .check_ci_argument(x, ci, verbose)

  if (!is.null(check_ci)) {
    return(check_ci)
  }

  results <- as.vector(stats::quantile(
    x,
    probs = c((1 - ci) / 2, (1 + ci) / 2),
    names = FALSE
  ))

  data.frame(
    "CI" = ci,
    "CI_low" = results[1],
    "CI_high" = results[2]
  )
}
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