exact_pvalue: Compute exact p-values for bootstrap or monte carlo samples
In abnormally-distributed/abdisttools: Random Functions for Personal Use
Description
Usage
Arguments
Examples
Description
This uses the correct formula (r+1)/(n+1) for computing exact p-values, instead of
r/n (where r is the number of samples greater than the mode of the samples,
and n is the total number of samples). See citations.
Usage
1
exact_pvalue(samples)
Arguments
samples
vector of posterior or bootstrap samples
Examples
1
abnormally-distributed/abdisttools documentation built on May 5, 2019, 7:07 a.m.
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Description Usage Arguments Examples
Description
This uses the correct formula (r+1)/(n+1) for computing exact p-values, instead of r/n (where r is the number of samples greater than the mode of the samples, and n is the total number of samples). See citations.
Usage
1 | exact_pvalue(samples)
|
Arguments
samples |
vector of posterior or bootstrap samples |
Examples
1 |
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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