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bioc

snpStats:SnpMatrix and XSnpMatrix classes and methods

Classes and statistical methods for large SNP association studies. This extends the earlier snpMatrix package, allowing for uncertainty in genotypes.

Maintained by David Clayton. Last updated 2 days ago.

microarraysnpgeneticvariabilityzlib

9.68 score 674 scripts 23 dependents

bioc

globaltest:Testing Groups of Covariates/Features for Association with a Response Variable, with Applications to Gene Set Testing

The global test tests groups of covariates (or features) for association with a response variable. This package implements the test with diagnostic plots and multiple testing utilities, along with several functions to facilitate the use of this test for gene set testing of GO and KEGG terms.

Maintained by Jelle Goeman. Last updated 5 months ago.

microarrayonechannelbioinformaticsdifferentialexpressiongopathways

5.89 score 79 scripts 6 dependents

pettermostad

lestat:A Package for Learning Statistics

Some simple objects and functions to do statistics using linear models and a Bayesian framework.

Maintained by Petter Mostad. Last updated 7 years ago.

2.28 score 64 scripts 1 dependents

livioivil

someMTP:Some Multiple Testing Procedures

It's a collection of functions for Multiplicity Correction and Multiple Testing.

Maintained by livio finos. Last updated 4 years ago.

2.08 score 9 scripts 4 dependents

cran

mederrRank:Bayesian Methods for Identifying the Most Harmful Medication Errors

Two distinct but related statistical approaches to the problem of identifying the combinations of medication error characteristics that are more likely to result in harm are implemented in this package: 1) a Bayesian hierarchical model with optimal Bayesian ranking on the log odds of harm, and 2) an empirical Bayes model that estimates the ratio of the observed count of harm to the count that would be expected if error characteristics and harm were independent. In addition, for the Bayesian hierarchical model, the package provides functions to assess the sensitivity of results to different specifications of the random effects distributions.

Maintained by Sergio Venturini. Last updated 2 years ago.

1.70 score

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