New features tidy_add_estimate_to_reference_rows() now also populate p-values and confidence intervals for sum contrasts (#220) Marginal tidiers are now compatible with nnet::multinom(), MASS::polr(), ordinal::clm() and ordinal::clmm() models, as long as the type of models is supported by the corresponding package, for example, margins does not currently support nnet::multinom() models (#215) Improvements Marginal predictions vignette has been updated to follow changes in marginaleffects version 0.10.0 (#216
Fixed errors on CRAN from changes in dplyr New features and documentation: Initial support for ...
It is now possible to specify multiple cls arguments to the aggregation methods. Correlation thresh...
Important changes norm_in default value for get_pre_proc_pipes is now True rather than False layer ...
New features Set of functions to support marginal predictions, contrasts and slopes / effects (#202...
New supported models Support for glmmTMB::glmmTMB() models (#119) New features Function arguments...
New features model_get_coefficients_type() now returns "relative_risk" for log-binomial models (#10...
Bug fixes Better identification of term labels for interaction terms using sum contrasts (#108) No...
This release adds new features for specifying baseline distributions when producing absolute predict...
New features New functions tidy_add_pairwise_contrasts() and model_get_pairwise_contrasts() to comp...
New supported models Support of rstanarm::stan_glm() models Basic support for VGAM::vglm() models (...
Feature: Node-splitting models for assessing inconsistency are now available with consistency = "nod...
This release adds new features, including inline variable transformations, ordered multinomial model...
New features New method model_get_coefficients_type.tidycrr() (#128) Updated error messaging about ...
Major updates: Calibrations change because of RNN. The calibration data size will no longer cut to ...
New features The .assert_package() now uses rlang::check_installed() and rlang::is_installed() to ...
Fixed errors on CRAN from changes in dplyr New features and documentation: Initial support for ...
It is now possible to specify multiple cls arguments to the aggregation methods. Correlation thresh...
Important changes norm_in default value for get_pre_proc_pipes is now True rather than False layer ...
New features Set of functions to support marginal predictions, contrasts and slopes / effects (#202...
New supported models Support for glmmTMB::glmmTMB() models (#119) New features Function arguments...
New features model_get_coefficients_type() now returns "relative_risk" for log-binomial models (#10...
Bug fixes Better identification of term labels for interaction terms using sum contrasts (#108) No...
This release adds new features for specifying baseline distributions when producing absolute predict...
New features New functions tidy_add_pairwise_contrasts() and model_get_pairwise_contrasts() to comp...
New supported models Support of rstanarm::stan_glm() models Basic support for VGAM::vglm() models (...
Feature: Node-splitting models for assessing inconsistency are now available with consistency = "nod...
This release adds new features, including inline variable transformations, ordered multinomial model...
New features New method model_get_coefficients_type.tidycrr() (#128) Updated error messaging about ...
Major updates: Calibrations change because of RNN. The calibration data size will no longer cut to ...
New features The .assert_package() now uses rlang::check_installed() and rlang::is_installed() to ...
Fixed errors on CRAN from changes in dplyr New features and documentation: Initial support for ...
It is now possible to specify multiple cls arguments to the aggregation methods. Correlation thresh...
Important changes norm_in default value for get_pre_proc_pipes is now True rather than False layer ...