luad_multi: Pposterior sampling chains on lung data, conditioned on prior...
In nicolaroberts/hdp: Hierarchical Dirichlet Process for categorical count data
Description
Four independent HDP sampling chains with lung adenocarcinoma data
(first 100 rows of mut_count), conditioning on a library of
30 known prior signatures from https://cancer.sanger.ac.uk/cosmic/signatures (COSMIC v84).
Usage
1
Format
A hdpSampleMulti object with 200 posterior samples, 50 from each chain
nicolaroberts/hdp documentation built on May 23, 2019, 5:09 p.m.
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Description
Four independent HDP sampling chains with lung adenocarcinoma data
(first 100 rows of mut_count), conditioning on a library of
30 known prior signatures from https://cancer.sanger.ac.uk/cosmic/signatures (COSMIC v84).
Usage
1 |
Format
A hdpSampleMulti object with 200 posterior samples, 50 from each chain
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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