gof_adj_C2: helper functions to do p value adjustment
In Rgof: 1d Goodness of Fit Tests
gof_adj_C2 R Documentation
helper functions to do p value adjustment
Description
helper functions to do p value adjustment
Usage
gof_adj_C2(dta, rnull, vals, TS, typeTS, TSextra, A, B = 1000L)
Arguments
dta
data set
rnull
R function (generate data under null hypothesis)
vals
values of discrete random variable
TS
function to calculate test statistics
typeTS
integer indicating type of test statistic
TSextra
list to pass to TS
A
matrix of test statistic values
B
=1000 Number of simulation runs
Value
A matrix of powers
Rgof documentation built on June 8, 2025, 1:09 p.m.
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| gof_adj_C2 | R Documentation |
helper functions to do p value adjustment
Description
helper functions to do p value adjustment
Usage
gof_adj_C2(dta, rnull, vals, TS, typeTS, TSextra, A, B = 1000L)
Arguments
dta |
data set |
rnull |
R function (generate data under null hypothesis) |
vals |
values of discrete random variable |
TS |
function to calculate test statistics |
typeTS |
integer indicating type of test statistic |
TSextra |
list to pass to TS |
A |
matrix of test statistic values |
B |
=1000 Number of simulation runs |
Value
A matrix of powers
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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