radjust: radjust: Replicability Adjusted p-values for Two Independent...
In shay-y/radjust: Replicability Adjusted p-Values for Two Independent Studies with Multiple Endpoints
Description
This package provides the adjusted p-values for the null hypothesis of no replicability across studies for two study designs: a primary and follow-up study, where the features in the follow-up study are selected from the primary study; two independent studies, where the features for replicability are first selected in each study separately. The latter design is the one encountered in typical meta-analysis of two studies, but the inference is for replicability rather than for identifying the features that are nonnull in at least one study.
shay-y/radjust documentation built on May 12, 2019, 6:25 p.m.
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Description
This package provides the adjusted p-values for the null hypothesis of no replicability across studies for two study designs: a primary and follow-up study, where the features in the follow-up study are selected from the primary study; two independent studies, where the features for replicability are first selected in each study separately. The latter design is the one encountered in typical meta-analysis of two studies, but the inference is for replicability rather than for identifying the features that are nonnull in at least one study.
R Package Documentation
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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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