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Diffstat (limited to 'man/logLik.mkinfit.Rd')
-rw-r--r-- | man/logLik.mkinfit.Rd | 12 |
1 files changed, 8 insertions, 4 deletions
diff --git a/man/logLik.mkinfit.Rd b/man/logLik.mkinfit.Rd index 8080f3db..fe517955 100644 --- a/man/logLik.mkinfit.Rd +++ b/man/logLik.mkinfit.Rd @@ -7,8 +7,8 @@ This function simply calculates the product of the likelihood densities calculated using \code{\link{dnorm}}, i.e. assuming normal distribution. - The total number of estimated parameters returned with the value - of the likelihood is calculated as the sum of fitted degradation + 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. For the case of unweighted least squares fitting, we calculate one @@ -17,7 +17,7 @@ For the case of manual weighting, we use the weight given for each observation as standard deviation in calculating its likelihood - and the total number of estimated parameters is equal to the + and the total number of estimated parameters is equal to the number of fitted degradation model parameters. In the case of iterative reweighting, the variances obtained by this @@ -28,7 +28,7 @@ reweighting method is "tc". } \usage{ -\method{logLik}{mkinfit}(object, ...) + \method{logLik}{mkinfit}(object, ...) } \arguments{ \item{object}{ @@ -43,6 +43,10 @@ estimated parameters (degradation model parameters plus variance model parameters) as attribute. } +\seealso{ + Compare the AIC of columns of \code{\link{mmkin}} objects using + \code{\link{AIC.mmkin}}. +} \examples{ sfo_sfo <- mkinmod( parent = mkinsub("SFO", to = "m1"), |