getCI: Get point estimates and 95 getCI(m, intercept = FALSE, prob =...

In thlytras/Rivets: A collection of useful standalone R functions

Get point estimates and 95 getCI(m, intercept = FALSE, prob = 0.95) \itemmA regression model \iteminterceptInclude the intercept in the result? \itemprobDefault 0.95 for a 95 A data.frame with three columns: est, lo, hi providing the point estimate and lower/upper limits of the 95 model parameter. The function supports objects of class 'lm' and 'glm', 'lmerMod' and 'glmerMod' (mixed-effects models from package lme4, for which only the fixed-effects part is considered) and 'coxph' (from package survival) This function generates point estimates and 95 the parameters of a regression model. mydata <- read.csv("https://stats.idre.ucla.edu/stat/data/binary.csv") mylogit <- glm(admit ~ gre + gpa + rank, data = mydata, family = "binomial") getCI(mylogit)

thlytras/Rivets documentation built on April 16, 2024, 5:43 a.m.