naive_b function

Initial values for the sieve maximum likelihood estimation

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

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 $0.5 \le$k$\le 1$

Returns

Initial values of B-spline estimation - b: a vector of the initial values to be used in the optimization process

Details

The function naive_b provides initial values for the optimization procedure.

Examples

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

Author(s)

Giorgos Bakoyannis, gbakogia@iu.edu

Jun Park, jun.park@alumni.iu.edu