controlCSCI {csci} | R Documentation |
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 |
quan_p |
quantile associated with xp_hat, used when |
xp_hat |
estimated quantile of the distribution of the log likelihood ratio (see e.g., Table 2 of Banerjee and WWellner, 2001),
used when |
intF |
numer of intervals to partition the F space (F=c(1:(intF-1)/intF)),
used when |
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).