control.gsym.point: Control of the Generalized Symmetry point computing process

In GsymPoint: Estimation of the Generalized Symmetry Point, an Optimal Cutpoint in Continuous Diagnostic Tests

Control of the Generalized Symmetry point computing process

Description

control.gsym.point is used to set various parameters that control the Generalized Symmetry point computing process.

Usage

control.gsym.point(B = 499, c_sampling = 0.25, c_F = 0.25, c_ELq = 0.25, 
c_R = 0.25, I = 2500)

Arguments

B	a numerical value meaningful only in the "EL" method. It specifies the number of simulations in the Empirical Likelihood method. The default value is 499.
c_sampling	a numerical value meaningful only in the "EL" method. It specifies the constant needed for resampling in the Empirical Likelihood method. The default value is 0.25.
c_F	a numerical value meaningful only in the "EL" method. It specifies the constant needed for estimating the distribution in the Empirical Likelihood method. The default value is 0.25.
c_ELq	a numerical value meaningful only in the "EL" method. It specifies the constant needed for estimating the empirical likelihood function in the Empirical Likelihood method. The default value is 0.25.
c_R	a numerical value meaningful only in the "EL" method. It specifies the constant needed for estimating the ROC Curve in the Empirical Likelihood method. The default value is 0.25.
I	a numerical value meaningful only in the "GPQ" method. It specifies the number of replicates in the Generalized Pivotal Quantity method. The default value is 2500.

Details

The value yielded by this function is used as the control argument of the gsym.point()function.

Author(s)

Mónica López-Ratón, Carmen Cadarso-Suárez, Elisa M. Molanes-López and Emilio Letón

See Also

gsym.point

Examples

library(GsymPoint)

data(melanoma)

###########################################################
# Generalized Pivotal Quantity Method ("GPQ"): 
###########################################################

# How to set the number of replicates I equal to 2000:

gsym.point.GPQ.melanoma<-gsym.point(methods = "GPQ", data = melanoma,
marker = "X", status = "group", tag.healthy = 0, categorical.cov = NULL, 
CFN = 1, CFP = 1, control = control.gsym.point(I = 2000),
confidence.level = 0.95, trace = FALSE, seed = FALSE, value.seed = 3, verbose = FALSE)

summary(gsym.point.GPQ.melanoma)


data(prostate)

###########################################################
# Empirical Likelihood Method ("EL")
###########################################################

# How to set the number of resamples B equal to 99:

gsym.point.GPQ.prostate <- gsym.point (methods = "GPQ", data = prostate,
marker = "marker", status = "status", tag.healthy = 0, categorical.cov = NULL, 
CFN = 1, CFP = 1, control = control.gsym.point(B=99), confidence.level = 0.95, 
trace = FALSE, seed = FALSE, value.seed = 3, verbose = FALSE)

summary(gsym.point.GPQ.prostate)

GsymPoint documentation built on Nov. 2, 2023, 5:59 p.m.