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# Copyright (C) 2018 Johannes Ranke
# Contact: jranke@uni-bremen.de
# This file is part of the R package mkin
# mkin 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/>
logLik.mkinfit <- function(object, ...) {
y_ij <- object$data$observed
yhat_ij <- object$data$predicted
if (is.null(object$data$err)) {
# For unweighted fits we estimate a single value for sigma from the residuals
err <- sd(object$data$residual)
n_var_comp <- 1 # Number of variance components estimated
} else {
err <- object$data$err
# For weighted fits we check for variance models used in IRLS
# If the variance values (err) were given and were not
# reweighted, the number of variance components estimated is zero
if (is.null(object$reweight.method)) {
n_var_comp <- 0
} else {
n_var_comp <- switch(object$reweight.method,
obs = length(object$var_ms_unweighted),
tc = 2)
}
}
prob_dens <- dnorm(y_ij, yhat_ij, err)
val <- log(prod(prob_dens))
class(val) <- "logLik"
attr(val, "df") <- length(coef(object)) + n_var_comp
return(val)
}
# vim: set ts=2 sw=2 expandtab:
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