logLik.mkinfit {mkin} | R Documentation |
This function simply calculates the product of the likelihood densities
calculated using dnorm
, i.e. assuming normal distribution,
with of the mean predicted by the degradation model, and the
standard deviation predicted by the error model.
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.
## S3 method for class 'mkinfit' logLik(object, ...)
object |
An object of class |
... |
For compatibility with the generic method |
An object of class logLik
with the number of
estimated parameters (degradation model parameters plus variance
model parameters) as attribute.
Johannes Ranke
Compare the AIC of columns of mmkin
objects using
AIC.mmkin
.
## Not run: 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) ## End(Not run)