Lbs: Fitting Linear Models

In santosneto/mixbsreg: Mixture-based regression model with application to data with high censoring

Description

Lbs is used to fit mixture model.

Usage

Lbs0(X,y,status,tau=0,initialpoint,method="BFGS",iterations=10000)

Lbs(X1,X2,y,status,tau=0,initialpoint,method="BFGS",hessian="TRUE")

Arguments

X1	The model matrix.
X2	The model matrix.
y	The response used.
status	The status indicator, normally 0=alive, 1=dead.
tau	Is a prefixed limiting values. Default for ZERO.
initialpoint	Initial values for the parameters to be optimized over.
method	The method to be used. The default is BFGS.
hessian	Logical. Should a numerically differentiated Hessian matrix be returned?
X	The model matrix.
iterations	The maximum number of iterations. Default to 10000.

santosneto/mixbsreg documentation built on March 31, 2020, 8:59 p.m.