################################################################################
#
# iprobit: Binary and Multinomial Probit Regression with I-priors
# Copyright (C) 2017 Haziq Jamil
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
################################################################################
#' Extract the variational lower bound
#'
#' @param object An object of class \code{ipriorProbit}.
#' @param ... This is not used here.
#'
#' @return The variational lower bound.
#' @export
logLik.iprobitMod <- function(object, theta = NULL, silent = TRUE,
stop.crit = 1e-3, alpha = get_alpha(object), ...) {
if (is.null(theta)) {
lb <- object$lower.bound[!is.na(object$lower.bound)]
lb <- lb[length(lb)]
class(lb) <- "iprobitLowerBound"
return(lb)
} else {
my.con <- list(
theta0 = theta,
alpha0 = alpha,
stop.crit = stop.crit,
silent = silent,
w.only = TRUE
)
res <- iprobit(object$ipriorKernel, control = my.con)$lower.bound
return(res[length(res)])
}
}
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