penlogistic: Penalized logistic regression (GLM with roughness penalty on...

In jihuilee/VCERGM:

Description

Penalized logistic regression (GLM with roughness penalty on coefficient vector)

Usage

penlogistic(y, H, weights, B, available.indx, degree.spline, constant,
  lambda.range, Tol)

Arguments

y	Response matrix of the penalized logistic regression
H	Design matrix of the penalized logistic regression
weights	Weights of each row of design matrix H
B	A set of basis functions (K x q matrix)
available.indx	A list of observed time points
degree.spline	Degree of splines. Default is 3 (cubic splines).
constant	TRUE for constrained model of homogeneous VCERGM. FALSE for unconstrained model for heterogeneous VCERGM. Default is FALSE.
lambda.range	Range of lambda (Tuning parameter)
Tol	Tolerance level used for calculating MPLE (IRLS iterations)

jihuilee/VCERGM documentation built on Oct. 9, 2019, 5:23 p.m.