This function returns degradation model parameters as well as error model parameters per default, in order to avoid working with a fitted model without considering the error structure that was assumed for the fit.
parms(object,...)## S3 method for class 'mkinfit'parms(object, transformed =FALSE, errparms =TRUE,...)## S3 method for class 'mmkin'parms(object, transformed =FALSE, errparms =TRUE,...)## S3 method for class 'multistart'parms(object, exclude_failed =TRUE,...)## S3 method for class 'saem.mmkin'parms(object, ci =FALSE, covariates =NULL,...)
Arguments
object: A fitted model object.
...: Not used
transformed: Should the parameters be returned as used internally during the optimisation?
errparms: Should the error model parameters be returned in addition to the degradation parameters?
exclude_failed: For multistart objects, should rows for failed fits be removed from the returned parameter matrix?
ci: Should a matrix with estimates and confidence interval boundaries be returned? If FALSE (default), a vector of estimates is returned if no covariates are given, otherwise a matrix of estimates is returned, with each column corresponding to a row of the data frame holding the covariates
covariates: A data frame holding covariate values for which to return parameter values. Only has an effect if 'ci' is FALSE.
Returns
Depending on the object, a numeric vector of fitted model parameters, a matrix (e.g. for mmkin row objects), or a list of matrices (e.g. for mmkin objects with more than one row).