naive_b: Initial values for the sieve maximum likelihood estimation

In intccr: Semiparametric Competing Risks Regression under Interval Censoring

Initial values for the sieve maximum likelihood estimation

Description

The function naive_b provides a vector of initial values for the B-spline sieve maximum likelihood estimation.

Usage

naive_b(data, w = NULL, v, u, c, q, k = 1)

Arguments

data	a data frame that includes the variables named in each argument
w	a left-truncation time (default is w = NULL.)
v	the last observation time prior to the failure
u	the first observation time after the failure
c	an indicator of cause of failure, for example, if an observation is righ-censored, event = 0; otherwise, event = 1 or event = 2, where 1 represents the first cause of failure, and 2 represents the second cause of failure. The current version of package only allows for two causes of failure.
q	a number of parameters in design matrix
k	a parameter that controls the number of knots in the B-spline with 0.5 ≤ k ≤ 1

Details

The function naive_b provides initial values for the optimization procedure.

Value

Initial values of B-spline estimation

b	a vector of the initial values to be used in the optimization process

Author(s)

Giorgos Bakoyannis, [e-mail]

Jun Park, [e-mail]

Examples

attach(simdata)
intccr:::naive_b(data = simdata, v = v, u = u, c = c, q = 2)

intccr documentation built on May 10, 2022, 9:05 a.m.