gsm.control: Defaults for the gsm call

Description

Set useful default and allow changes for the gsm call. This is meant to make the gsm call simpler.

Usage

gsm.control(parscale = 1, maxit = 300, optimiser = c("BFGS", "NelderMead"), trace = 0,
            nodes = 9, adaptive = TRUE, kappa.init = 1, maxkappa = 1000,
            suppressWarnings.coxph.frailty = TRUE, robust_initial = FALSE, bhazinit = 0.1,
            eps.init = 1e-5, use.gr = TRUE, penalty = c("logH", "h"), outer_optim = 1,
            reltol.search = 1e-10, reltol.final = 1e-10, reltol.outer = 1e-05,
            criterion = c("GCV", "BIC"))

Arguments

parscale: numeric vector or scalar for the scaling of the parameter values; default 1
maxit: integer for the maximum number of iterations for the optimisation process
optimiser: which optimiser to use for the outer optimisation
trace: integer indicating the trace level for each optimiser
nodes: number of quadrature nodes
adaptive: logical for whether to use adaptive or non-adaptive quadrature, Default=TRUE.
kappa.init: initial value for the quadratic penalty for inequality constraints
eps.init: initial value for epsilon
maxkappa: double float value for the maximum value of the weight used in the constraint.
suppressWarnings.coxph.frailty: logical
robust_initial: Not currently documented.
bhazinit: Not currently documented.
use.gr: Logical for whether to use gradients.
penalty: Not currently documented.
outer_optim: Not currently documented.
reltol.search: Relative tolerance. Not currently documented.
reltol.final: Relative tolerance. Not currently documented.
reltol.outer: Relative tolerance. Not currently documented.
criterion: Not currently documented.