path: root/man/logLik.mkinfit.Rd

% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/logLik.mkinfit.R
\name{logLik.mkinfit}
\alias{logLik.mkinfit}
\title{Calculated the log-likelihood of a fitted mkinfit object}
\usage{
\method{logLik}{mkinfit}(object, ...)
}
\arguments{
\item{object}{An object of class \code{\link{mkinfit}}.}

\item{\dots}{For compatibility with the generic method}
}
\value{
An object of class \code{\link{logLik}} with the number of estimated
  parameters (degradation model parameters plus variance model parameters)
  as attribute.
}
\description{
This function simply calculates the product of the likelihood densities
calculated using \code{\link{dnorm}}, i.e. assuming normal distribution,
with of the mean predicted by the degradation model, and the standard
deviation predicted by the error model.
}
\details{
The total number of estimated parameters returned with the value of the
likelihood is calculated as the sum of fitted degradation model parameters
and the fitted error model parameters.
}
\examples{

  \dontrun{
  sfo_sfo <- mkinmod(
    parent = mkinsub("SFO", to = "m1"),
    m1 = mkinsub("SFO")
  )
  d_t <- FOCUS_2006_D
  f_nw <- mkinfit(sfo_sfo, d_t, quiet = TRUE) # no weighting (weights are unity)
  f_obs <- mkinfit(sfo_sfo, d_t, error_model = "obs", quiet = TRUE)
  f_tc <- mkinfit(sfo_sfo, d_t, error_model = "tc", quiet = TRUE)
  AIC(f_nw, f_obs, f_tc)
  }

}
\seealso{
Compare the AIC of columns of \code{\link{mmkin}} objects using
  \code{\link{AIC.mmkin}}.
}
\author{
Johannes Ranke
}