preds: 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(x, plevel = 0.5)

Arguments

x	a logistic regression model performed using 'glm(...family=binomial(link="logit"))'
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.