logistic: The logistic function.

In BPJandree/AutoGLM: Automated fitting, model selection, and documentation functions for GLM modelling of binary response variables.

Description

Called by various routines in the package. May also be used to predict fitted conditional probabilities by supplying a set of variables and corresponding coefficients estimated from a logit model.

Usage

logistic(theta, data)

Arguments

theta	A vector of coefficients.
data	A dataframe of multiple exogenous regressors.

Value

A vector of values produced by a logistic formula under specified parameters and data.

Examples

logitdata <- simulateLogit(1000, c(1,0.5,-0.5,-0.3))
model <- logit(logitdata)
pars <- coef(model)
# predict with logistic function
predicted <- logistic(pars, cbind(1,logitdata[,-1]))
# compare with data
describe(logitdata[,1])
# compare with predict function from R
describe(fitted(model))

BPJandree/AutoGLM documentation built on May 5, 2019, 10:25 a.m.