preds_m: Prediction Accuracy and Diagnostic Statistics for Logistic...

In noahlorinczcomi/glmice: A model diagnostic and fit statistic calculator for logit models performed on data sets imputed using 'mice'

Description

Returns accuracy of predictions, a chi-square test of model vs. null model, sensitivity, specificity, and

Usage

preds_m(model, imp, plevel = 0.5)

Arguments

model	a logistic regression model performed using either 'glm.mids()' or 'with()', from package 'mice'
imp	the object to which your imputed data sets are assigned (i.e., the object that took the output of the mice() function)
plevel	the level at which you would like to classify cases vs. non-cases (default is p=0.5)

Value

accuracy of predictions, chi-square test of model vs. null, sensitivity, specificity,

noahlorinczcomi/glmice documentation built on May 26, 2019, 1:33 a.m.