cov_prob_tr: Average Coverage Probability: Truncated
In koohyun-kwon/OptACI: Methods to Construct Optimal Average Coverage Confidence Intervals
Description
Usage
Arguments
Details
Value
Examples
Description
Function for the average coverage probability calculation under a known value of the mean vector,
when truncated series approximation is used.
Usage
1
cov_prob_tr(chi, lam, th_vec, Jn)
Arguments
chi
a scalar half-length value χ.
lam
a vector of shrinkage factors λ.
th_vec
a normalized mean vector.
Jn
the order of polynomial approximation.
Details
This function was created for the purpose of simulations.
Value
vector of estimated average coverage probability values,
corresponding to each value of λ in lam.
Examples
1
cov_prob_tr(1, 0.5, seq(from = -1, to = 1, by = 0.01), 4)
koohyun-kwon/OptACI documentation built on Oct. 6, 2020, 8:09 a.m.
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Description Usage Arguments Details Value Examples
Description
Function for the average coverage probability calculation under a known value of the mean vector, when truncated series approximation is used.
Usage
1 | cov_prob_tr(chi, lam, th_vec, Jn)
|
Arguments
chi |
a scalar half-length value χ. |
lam |
a vector of shrinkage factors λ. |
th_vec |
a normalized mean vector. |
Jn |
the order of polynomial approximation. |
Details
This function was created for the purpose of simulations.
Value
vector of estimated average coverage probability values,
corresponding to each value of λ in lam.
Examples
1 | cov_prob_tr(1, 0.5, seq(from = -1, to = 1, by = 0.01), 4)
|
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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