dlpl: First derivative of the Log Partial Likelihood.

Description Usage Arguments Details Value Author(s) Examples

View source: R/dlpl.R

Description

Calculates the first partial derivative of the log partial likelihood with respect to the linear predictor.

Usage

1
dlpl(event, b, X, Ri, Ci)

Arguments

event

non-censoring event indicator.

b

vector of regression coefficients

X

design matrix

Ri

list of length n with vectors as list elements, with the i-th element being the riskset belonging to the i-th spell.

Ci

list of length n with vectors as list elements, with the i-th element capturing the indexes of risksets in which spell i is included.

Details

This function calculates the first derivative of the log partial likelihood of a Cox type multistate model.

Value

A vector with the values of the partial first derivatives of the log partial likelihood with respect to the regression effects.

Author(s)

Holger Reulen

Examples

1
## Not run: dlpl(event, b, X, Ri, Ci)

penMSM documentation built on May 30, 2017, 2:28 a.m.