mc.pvalue: Compute Monte Carlo p-value
In smerc: Statistical Methods for Regional Counts
mc.pvalue R Documentation
Compute Monte Carlo p-value
Description
mc.pvalue computes the Monte Carlo p-value of each
element of tobs using the relationship
(sum(tsim >= x) + 1)/(nsim + 1) where x is
a specific element of tobs and nsim =
length(tsim).
Usage
mc.pvalue(tobs, tsim)
Arguments
tobs
A vector observed test statistics
tsim
A vector of test statistics from simulated
data
Value
A vector of p-values.
Examples
mc.pvalue(8:10, 1:9)
smerc documentation built on Oct. 10, 2023, 5:07 p.m.
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| mc.pvalue | R Documentation |
Compute Monte Carlo p-value
Description
mc.pvalue computes the Monte Carlo p-value of each
element of tobs using the relationship
(sum(tsim >= x) + 1)/(nsim + 1) where x is
a specific element of tobs and nsim =
length(tsim).
Usage
mc.pvalue(tobs, tsim)
Arguments
tobs |
A vector observed test statistics |
tsim |
A vector of test statistics from simulated data |
Value
A vector of p-values.
Examples
mc.pvalue(8:10, 1:9)
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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