estimateCensoredParamModel: A function for estimating parametric model 2 (censoring)
In ammeir2/selectiveTweedy:
View source: R/parametricExampleOptim.R
Description
Parametric model 2 assumes that mu ~ N(0, b) and x ~ N(mu, 1),
where x is discarded
if x > threshold[1] and x < threshold[2]
Usage
1
estimateCensoredParamModel(x, threshold)
Arguments
x
the observed data z-scores
threshold
the selection threshold for the selection rule
x < threshold[1] or x > threshold[2]. If a scalar is provided,
then threshold is set to c(-abs(threshold), abs(threshold)).
ammeir2/selectiveTweedy documentation built on May 24, 2019, 3:02 a.m.
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View source: R/parametricExampleOptim.R
Description
Parametric model 2 assumes that mu ~ N(0, b) and x ~ N(mu, 1),
where x is discarded
if x > threshold[1] and x < threshold[2]
Usage
1 | estimateCensoredParamModel(x, threshold)
|
Arguments
x |
the observed data z-scores |
threshold |
the selection threshold for the selection rule
|
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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