controlCSCI {csci}

Function for control parameters for algorithms used in CSCI.

Description

Allows chainging of default parameters.

Usage

controlCSCI(power = 2/3, 
   quan_p = c(0.25, 0.5, 0.75, 0.8, 0.85, 0.9, 0.95, 0.99), 
   xp_hat = c(0.06402, 0.28506, 0.80694, 0.98729, 1.22756, 1.60246, 2.26916, 3.8363), 
   intF = 1000)

Arguments

power

for defining m in the algorithm when type='VALID': m=ceiling(n^power), where n=length(C)

quan_p

quantile associated with xp_hat, used when type='LIKELIHOOD'

xp_hat

estimated quantile of the distribution of the log likelihood ratio (see e.g., Table 2 of Banerjee and WWellner, 2001), used when type='LIKELIHOOD'

intF

numer of intervals to partition the F space (F=c(1:(intF-1)/intF)), used when type='LIKELIHOOD'

Details

For power, see Kim, et al 2020. For details on the other values, see the code for the type='LIKELIHOOD' algorithm and Banerjee and Wellner, 2001.

Value

A list of the argument values.

References

Banerjee, M. and J. A. Wellner (2001). Likelihood ratio tests for monotone functions. Ann. Statist. 29 (6), 1699-1731.

Kim, S, Fay, MP, Proschan, MA (2020). Valid and Approximately Valid Confidence Intervals for Current Status Data. (see https://arxiv.org/abs/1805.06488).