bcfraildv.control: Arguments for controlling bcfraildv fits.

Description Usage Arguments Value See Also

Description

This is used to set various numeric parameters controlling a bcfraildv model fit as a single list.

Usage

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bcfraildv.control(
  max.iter = 5000,
  max.iter2 = 350,
  tol = 1e-06,
  toll = 1e-05,
  lower = c(0, 0, 0),
  upper = c(Inf, Inf, 1),
  fastfit = TRUE,
  obt.se = TRUE,
  fscale = 1,
  print.level = 0,
  ndigit = 12,
  steptol = 1e-06,
  iterlim = 100,
  gradtol = 1e-08,
  check.analyticals = FALSE,
  nlminb_control = list()
)

Arguments

max.iter

Maximum number of iterations allowed in gamma frailty fit. The default is 5000.

max.iter2

Maximum number of iterations allowed in lognormal frailty fit. The default is 350.

tol

A tolerance for convergence in gamma frailty fit i.e the maximum absolute differences between succssive iterations.The default is 1e-06.

toll

tolerance for convergence in lognormal frailty fit.The default is 1e-05.

lower

vectors of lower bounds of the frailty parameters.

upper

vectors of upper bounds of the frailty parameters.

fastfit

if true, an algorithm that make lognormal frailty fit more faster will be used. We sugest to leave it as it is.

obt.se

Logical. If TRUE, for gamma fit, standard errors will be obtaind using the proposed method else observed information matrix will be used.. We sugest to leave it as it is.

fscale

argument used to control nlm fits used.

print.level

argument used to control nlm fits used.

ndigit

argument used to control nlm fits used.

steptol

argument used to control nlm fits used.

iterlim

argument used to control nlm fits used.

gradtol

argument used to control nlm fits used.

check.analyticals

arguments used to control nlm fits used.

nlminb_control

Arguments used to control nlminb fits used.

Value

The above control parameters in a list.

See Also

bcfraildv


bcfrailphdv documentation built on Nov. 30, 2020, 5:07 p.m.