proc_logistic: ((very) limited) Emulation of SAS proc_logistic

In collinn/sassyR: A sassy way to use R

Description

((very) limited) Emulation of SAS proc_logistic

Usage

proc_logistic(fit, scale = "pearson", tables = "waldci")

Arguments

fit	Should be a glm model fit with family binomial("logit")
scale	Matching SAS argument, uses either pearson or deviance for estimation of dispersion parameter, takes either "pearson" or "deviance"
tables	Optional length one character vector to indicate output. Enter as a single string (rather than a vector). Options include any of opt = "waldci covb lackfit", in any order

Examples

fit <- glm(cbind(Mort, Pop-Mort) ~ Age_Gp,
           family = binomial(link = "logit"), data = ACHD)

proc_logistic(fit, tables = "waldci covb lackfit")

fit2 <- glm(cbind(MJ, Total-MJ) ~ AL + CG, data = maryjane,
           family = binomial)

proc_logistic(fit2, tables = "waldci")

collinn/sassyR documentation built on May 1, 2020, 1:59 a.m.