two_sided_test: Two-sided testing
In dpuelz/CliqueRT: Randomization-Based Testing of Causal Effects under General Interference
View source: R/functions_stats.R
two_sided_test R Documentation
Two-sided testing
Description
Compute a two-sided p-value given observed test statistic tobs
and randomized tvals.
Usage
two_sided_test(tobs, tvals, tol = 1e-14)
Arguments
tobs
The observed value of the test statistic (scalar).
tvals
A vector of randomization values of the test statistic (to compare with tobs).
Details
The test may randomize the p-value depending on how many tvals
are the same as tobs (up to a tolerance level) to get better performance.
Value
p-value for two-sided testing.
See Also
Testing Statistical Hypotheses (Ch. 15, Lehman and Romano, 2006)
dpuelz/CliqueRT documentation built on Jan. 6, 2023, 11:20 p.m.
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View source: R/functions_stats.R
| two_sided_test | R Documentation |
Two-sided testing
Description
Compute a two-sided p-value given observed test statistic tobs
and randomized tvals.
Usage
two_sided_test(tobs, tvals, tol = 1e-14)
Arguments
tobs |
The observed value of the test statistic (scalar). |
tvals |
A vector of randomization values of the test statistic (to compare with |
Details
The test may randomize the p-value depending on how many tvals
are the same as tobs (up to a tolerance level) to get better performance.
Value
p-value for two-sided testing.
See Also
Testing Statistical Hypotheses (Ch. 15, Lehman and Romano, 2006)
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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