View source: R/densitycontrol.R
densitycontrol | R Documentation |
This function is used to set various parameters controlling the estimation of the (conditional) density (densities) of test outcomes in both the healthy and diseased groups.
densitycontrol(compute = FALSE, grid.h = NA, grid.d = NA)
compute |
Logical value. If TRUE the (conditional) density (densities) of test outcomes in each group, healthy and diseased, are estimated. |
grid.h |
Grid of test outcomes in the healthy group where the (conditional) density (densities) estimates are to be evaluated. Value |
grid.d |
Grid of test outcomes in the diseased group where the (conditional) density (densities) estimates are to be evaluated. Value |
The value returned by this function is used as a control argument of the cROC.bnp
and pooledROC.dpm
functions.
A list with components for each of the possible arguments.
cROC.bnp
and pooledROC.dpm
library(ROCnReg)
data(psa)
# Select the last measurement
newpsa <- psa[!duplicated(psa$id, fromLast = TRUE),]
# Log-transform the biomarker
newpsa$l_marker1 <- log(newpsa$marker1)
cROC_bnp <- cROC.bnp(formula.h = l_marker1 ~ f(age, K = 0),
formula.d = l_marker1 ~ f(age, K = 0),
group = "status",
tag.h = 0,
data = newpsa,
standardise = TRUE,
p = seq(0, 1, len = 101),
compute.lpml = TRUE,
compute.WAIC = TRUE,
compute.DIC = TRUE,
pauc = pauccontrol(compute = TRUE, value = 0.5, focus = "FPF"),
density = densitycontrol(compute = TRUE, grid.h = NA, grid.d = NA),
mcmc = mcmccontrol(nsave = 500, nburn = 100, nskip = 1))
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