lb_coptim: Fitting Log-Binomial Models with 'constrOptim'

In lb: Log-Binomial Regression

Description

Fitting Log-Binomial Models with constrOptim

Usage

lb_coptim(x, y, start, mu = 1e-04, control = list(maxit = 500L),
  method = "BFGS", outer_iterations = 10000, outer_eps = 1e-08, ...)

Arguments

x	design matrix of dimension n * p.
y	vector of observations of length n.
start	numeric (vector) starting value (of length p): must be in the feasible region.
mu	see constrOptim.
control	passed to “optim”.
method	passed to “optim”.
outer_iterations	see constrOptim.
outer_eps	see constrOptim.
...	see constrOptim.

Value

a vector giving the estimated coefficients.

lb documentation built on Feb. 19, 2020, 3:01 a.m.