logit_nwinf: Logistic regression for the probability of new infection

In AurMad/STOCfree: STOC free model: prediction of probability of freedom from longitudinal data

Logistic regression for the probability of new infection

Description

Logistic regression for the probability of new infection

Usage

logit_nwinf(nwinf = nwinf_data(), risk_factors = character)

Arguments

nwinf	a dataset created with the make_nwinf_data() and add_risk_factor() functions
risk_factors	a character string with rhe risk factors to include in the regression

Value

results of a logistic regression model performed with the glm function

AurMad/STOCfree documentation built on Sept. 13, 2022, 3:20 a.m.