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NEWS.md

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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.