parameters 0.24.1
Changes
-
model_parameters()now supports objects of classsurvfit. -
model_parameters()now gives informative error messages for more model
classes than before when the function fails to extract model parameters. -
Improved information for credible intervals and sampling method from output
ofmodel_parameters()for Bayesian models.
Bug fixes
-
Fixed issue when printing
model_parameters()with models frommgcv::gam(). -
Fixed issues due to breaking changes in the latest release of the datawizard
package. -
Fixed issue with wrong column-header in printed output of
model_parameters()
forMASS::polr()models with probit-link.