hierinf: hierinf: Hierarchical Inference
In hierinf: Hierarchical Inference
Description
The hierinf package provides the functions to perform hierarchical inference.
The main workflow consists of two function calls.
Functions
The building of the hierarchical tree can be achieved by either of the functions
cluster_var or cluster_position.
The function test_hierarchy performs the hierarchical
testing by going top down through the hierarchical tree and obviously requires the
hierarchical tree as an input.
It is possible to calculate the R squared value of a given cluster using
compute_r2.
The hierarchical testing consists of two steps which can be evaluated
separately if desired. Instead of calling test_hierarchy,
the multi-sample splitting step is performed by multisplit
and its output is used by the function test_only_hierarchy
to test for significant clusters by going top down through the hierarchical tree.
hierinf documentation built on Nov. 8, 2020, 7:08 p.m.
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Description
The hierinf package provides the functions to perform hierarchical inference. The main workflow consists of two function calls.
Functions
The building of the hierarchical tree can be achieved by either of the functions
cluster_var or cluster_position.
The function test_hierarchy performs the hierarchical
testing by going top down through the hierarchical tree and obviously requires the
hierarchical tree as an input.
It is possible to calculate the R squared value of a given cluster using
compute_r2.
The hierarchical testing consists of two steps which can be evaluated
separately if desired. Instead of calling test_hierarchy,
the multi-sample splitting step is performed by multisplit
and its output is used by the function test_only_hierarchy
to test for significant clusters by going top down through the hierarchical tree.
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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