fit.BinReg: Fit Binary Regression Model

In zrmacc/BinReg: BinReg

Description

Fit Binary Regression Model

Usage

Fit.BinReg(y, X = NULL, model = "logistic", offset = 0, df = NULL,
  sig = 0.05, eps = 1e-08, maxit = 10, report = T)

Arguments

y	Binary 0/1 outcome vector.
X	Numeric model matrix. Include an intercept.
model	Selected from among logistic, probit, and robit.
offset	Fixed component added to the linear predictor.
df	Degrees of freedom, if using the robit model.
sig	Significance level, for CIs.
eps	Tolerance for Newton-Raphson iterations.
maxit	Maximum number of NR iterations.
report	Report fitting progress?

Examples

## Not run: 
set.seed(100);
# Design matrix
X = cbind(1,matrix(rnorm(3e3),nrow=1e3));
# Coefficient
b = c(1,-1,1,0);

# Logistic observations
y = rBinReg(X,b,model="logistic");
# Estimate logistic model
M = Fit.BinReg(y,X,model="logistic");

# Probit observations
y = rBinReg(X,b,model="probit");
# Estimate probit model
M = Fit.BinReg(y,X,model="probit");

# Robit observations
y = rBinReg(X,b,model="robit",df=5);
# Estimate robit model
M = Fit.BinReg(y,X,model="robit",df=5);

## End(Not run)

zrmacc/BinReg documentation built on May 9, 2019, 8:08 a.m.