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NEWS
Package 1.4.0
- Added a new function nri_cox.R for reclassification analyses of Cox models.
- Added the possibility to pool stratified Cox models in the function psfmi_coxr.
Package 1.1.0
- Added df_com to the D1 and D2 method for small sample correction.
- Update strata option in functions cv_MI and cv_MI_RR.
Package 1.0.0
- Added the functions psfmi_lm, psfmi_lm_fw, psfmi_lr_bw for pooling and backward and forward selection of linear regression models.
- Added the functions glm_bw, glm_fw, coxph_bw and coxph_fw for backward and forward selection of linear, logistic and Cox models in a single dataset based on the likelihood ratio statistic.
- Function psfmi_perform is now deprecated, use psfmi_validate instead.
- Function bw_single is now deprecated, use glm_bw instead.
- Added the function hoslem_test and implemented this in the function pool_performance.
- added pooled concordance and R-squared measures for Cox regression to function pool_performance.
- Added the function pool_D2, to pool chi-square statistics.
- Added the function pool_D4, to pool likelihood ratio tests.
- Added the internal function pool_performance_internal, used internally by psfmi_perform.
- Option plot.indiv in function pool_performance and mivalext_lr is deprecated, use plot.method instead.
- created a new vignette for the psfmi_lm function and updated the other ones.
- corrected other bug fixes.
- Updated package website with pkgdown (included citation).
Package 0.7.1
- Added the functions pool_compare_models and pool_reclassification.
- applied some bug fixes in the function bw_single where selection with anova was replaced with Anova.
- added internal function RR_diff_prop to pool difference in proportions and related SE with RR.
- Updated vignettes.
- Updated package website with pkgdown.
- Added datasets to be used in tutorials.
Package 0.5.0
- Added forward selection to the psfmi_lr and psfmi_coxr functions.
- Added the functions psfmi_lr_fw, psfmi_lr_bw, psfmi_coxr_fw and psfmi_coxr_bw that are called by psfmi_lr or psfmi_coxr for forward and backward selection after MI with logistic and Cox regression models.
- Extended the function psfmi_perform by including the possibility of using cross-validation in combination with multiple imputation.
- Added the functions cv_MI, cv_MI_RR, MI_cv_naive, boot_MI and MI_boot, that are called by psfmi_perform to combine cross-validation or bootstrapping with MI.
- Added the function bw_single for backward selection in a single dataset.
- Added the functions pool_auc, rsq_nagel and scaled_brier.
- Added the internal functions mean_auc_log, clean_P, miceImp.
- Updated vignettes.
- Created a package website with pkgdown.
Package 0.2.0
- Added functions pool_intadj.R, pool_performance.R, psfmi_mm.R, psfmi_mm_multiparm, psfmi_perform, psfmi_stab.
- Added the class statement smodsmi to the functions psfmi_lr, psfmi_coxr
and psfmi_mm.
- Added the following output object information to psfmi_lr, psfmi_coxr
and psfmi_mm: model_type, predictors_in, predictors_out, fit.formula, predictors_final and predictors_initial.
- Excluded function miperform_lr.
- Changed name object multiparm_p into multiparm.
- Updated vignettes.
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