# Prediction Model Selection and Performance Evaluation in Multiple Imputed Datasets

## Documentation for package ‘psfmi’ version 0.5.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

bw_single | Predictor selection function for backward selection of Logistic regression models.
ipdna_md | Example dataset for the psfmi_mm function
lbpmicox | Example dataset for psfmi_coxr function
lbpmilr | Example dataset for psfmi_lr function
lbpmilr_dev | Example dataset for mivalext_lr function
lbpmi_extval | Example dataset of Low Back Pain Patients for external validation
lbp_orig | Example dataset for psfmi_perform function, method boot_MI
mivalext_lr | External Validation of logistic prediction models in multiply imputed datasets
pool_auc | Calculates the pooled Area Under the Curve in Multiply Imputed datasets
pool_intadj | Provides pooled adjusted intercept after shrinkage of pooled coefficients in multiply imputed datasets
pool_performance | Pooling performance measures over multiply imputed datasets
psfmi_coxr | Pooling and Predictor selection function for backward or forward selection of Cox regression models in multiply imputed data.
psfmi_lr | Pooling and Predictor selection function for backward or forward selection of Logistic regression models in multiply imputed data.
psfmi_mm | Pooling and Predictor selection function for multilevel models in multiply imputed datasets
psfmi_mm_multiparm | Multiparameter pooling methods called by psfmi_mm
psfmi_perform | Evaluate model performance of logistic prediction models in Multiply Imputed datasets
psfmi_stab | Function to evaluate bootstrap predictor and model stability in multiply imputed datasets.
rsq_nagel | Nagelkerke's R-square calculation for logistic regression / glm models
scaled_brier | Calculated the scaled Brier score