CRS.CI: Confidence Intervals for ART
In mwt/rART: Approximate Randomization Tests with a Small Number of Clusters
CRS.CI R Documentation
Confidence Intervals for ART
Description
This helper function computes confidence intervals by test inversion using linearity.
Usage
CRS.CI(c.beta, G, alpha = 0.05, nj = 1)
Arguments
c.beta
vector of parameters entering the null hypothesis c'beta
- with one estimator per cluster (q x 1)
G
the group of all trasformations (use random.G to get)
alpha
significance level (dafault 0.05)
nj
q x 1 vector of sample sizes in each cluster (for alternative weighting)
Value
The 1-alpha confidence interval for c'beta
mwt/rART documentation built on June 16, 2022, 1:39 a.m.
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| CRS.CI | R Documentation |
Confidence Intervals for ART
Description
This helper function computes confidence intervals by test inversion using linearity.
Usage
CRS.CI(c.beta, G, alpha = 0.05, nj = 1)
Arguments
c.beta |
vector of parameters entering the null hypothesis c'beta - with one estimator per cluster (q x 1) |
G |
the group of all trasformations (use random.G to get) |
alpha |
significance level (dafault 0.05) |
nj |
q x 1 vector of sample sizes in each cluster (for alternative weighting) |
Value
The 1-alpha confidence interval for c'beta
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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