Density function of p-values {MixfMRI} | R Documentation |
Density function of p-values
Description
These functions based on normal assumption and transformation to derive a (mixture) density function of p-values.
Usage
dpval(x, mu = 0, log = FALSE)
dmixpval(x, eta, mu)
Arguments
x |
support of p-values which should be between 0 and 1. |
mu |
hypothetical mean of testing statistics (in normal distribution) for producing p-values. |
log |
if return log of density. |
eta |
mixing proportion of |
Details
Note that eta
and mu
in dmixpval()
are of length
K
for K
component mixtures.
Value
Corresponding density values (to the input x
) are returned.
Author(s)
Wei-Chen Chen and Ranjan Maitra.
References
Chen, W.-C. and Maitra, R. (2021) “A Practical Model-based Segmentation Approach for Accurate Activation Detection in Single-Subject functional Magnetic Resonance Imaging Studies”, arXiv:2102.03639.
See Also
gendataset()
, qvalue()
.
Examples
library(MixfMRI, quietly = TRUE)
set.seed(1234)
da <- gendataset(phantom = shepp1fMRI, overlap = 0.01)
x <- da$pval[!is.na(da$pval)][1:100]
dpval(x)
dmixpval(x, mu = da$mu, eta = da$eta)
[Package MixfMRI version 0.1-3 Index]