#' Bernoulli regression with logistic link density (univariate, discrete, binary space)
#'
#' @inherit Density
#' @param xBeta Either a fixed value or a prior density for the parameter of the regression.
#' @param M An integer with the number of covariates in the observation regression model.
#' @family Density
#' @examples
#' RegBernoulliLogit(
#' xBeta = Gaussian(0, 10),
#' M = 3
#' )
RegBernoulliLogit <- function(xBeta = NULL, M = NULL, ordered = NULL, equal = NULL, bounds = list(NULL, NULL),
trunc = list(NULL, NULL), k = NULL, r = NULL, param = NULL) {
DiscreteDensity("RegBernoulliLogit", ordered, equal, bounds, trunc, k, r, param, xBeta = xBeta, M = M)
}
#' @keywords internal
#' @inherit block_data
block_data.RegBernoulliLogit <- function(x, noLogLike) {
c(
"int<lower = 1> M; // number of predictors",
"matrix[T, M] x; // predictors",
if (!noLogLike) { NextMethod()}
)
}
#' @keywords internal
#' @inherit freeParameters
freeParameters.RegBernoulliLogit <- function(x) {
xBetaStr <-
if (is.Density(x$xBeta)) {
xBetaBoundsStr <- make_bounds(x, "xBeta")
sprintf(
"vector%s[M] xBeta%s%s;",
xBetaBoundsStr, get_k(x, "xBeta"), get_r(x, "xBeta")
)
} else {
""
}
xBetaStr
}
#' @keywords internal
#' @inherit fixedParameters
fixedParameters.RegBernoulliLogit <- function(x) {
xBetaStr <-
if (is.Density(x$xBeta)) {
""
} else {
if (!check_vector(x$xBeta)) {
stop("If fixed, xBeta must be a vector.")
}
sprintf(
"vector[M] xBeta%s%s = %s;",
get_k(x, "xBeta"), get_r(x, "xBeta"), x$xBeta
)
}
xBetaStr
}
#' @keywords internal
#' @inherit generated
generated.RegBernoulliLogit <- function(x) {
sprintf(
"if(zpred[t] == %s) ypred[t][%s] = bernoulli_logit_rng(x[t] * xBeta%s%s);",
x$k, x$r,
get_k(x, "xBeta"), get_r(x, "xBeta")
)
}
#' @keywords internal
#' @inherit getParameterNames
getParameterNames.RegBernoulliLogit <- function(x) {
return(c("xBeta"))
}
#' @keywords internal
#' @inherit logLike
logLike.RegBernoulliLogit <- function(x) {
sprintf(
"loglike[%s][t] = bernoulli_logit_lpmf(y[t] | x[t] * xBeta%s%s);",
x$k,
get_k(x, "xBeta"), get_r(x, "xBeta")
)
}
#' @keywords internal
#' @inherit prior
prior.RegBernoulliLogit <- function(x) {
stop("Not to be used as a prior :)")
}
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