Changes in version 1.4.0 (2023-06-17)                  

  - 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.

                 Changes in version 1.1.0 (2022-11-06)                  

  - Added df_com to the D1 and D2 method for small sample correction.
  - Update strata option in functions cv_MI and cv_MI_RR.

                 Changes in version 1.0.0 (2021-09-23)                  

  - 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).

                 Changes in version 0.7.1 (2021-01-13)                  

  - 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.

                 Changes in version 0.5.0 (2020-09-24)                  

  - 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.

                 Changes in version 0.2.0 (2020-02-03)                  

  - 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.