This R package contains open source implementations of several p-value weighting methods, including Spjotvoll, exponential and Bayes weights. These are methods for improving power in multiple testing via the use of prior information.

Author | Edgar Dobriban [aut, cre], Kristen Fortney [aut] |

Date of publication | 2015-07-29 11:08:38 |

Maintainer | Edgar Dobriban <dobriban@stanford.edu> |

License | GPL-3 |

Version | 0.0.1 |

https://github.com/dobriban/pweight |

**bayes_weights:** Bayes p-value weights

**c_1:** Find the location of the smaller maximum of the generic term...

**exp_weights:** Exponential p-value weights

**find_crossing:** find the crossing point of the two competing maxima

**g_fun:** compute the dual constraint function: 1 if lambda <= l_prime,...

**iGWAS:** informed Genome-Wide Association Study

**pweight:** pweight: P-value weighting in multiple testing.

**spjotvoll_weights:** Spjotvoll p-value weights

pweight

pweight/inst

pweight/inst/doc

pweight/inst/doc/pweight-basics.Rmd

pweight/inst/doc/iGWAS-DataExample.html

pweight/inst/doc/iGWAS-DataExample.Rmd

pweight/inst/doc/pweight-basics.R

pweight/inst/doc/pweight-basics.html

pweight/inst/doc/iGWAS-DataExample.R

pweight/tests

pweight/tests/spjotvoll_weights_tests.R

pweight/tests/exp_weights_tests.R

pweight/tests/iGWAS_tests.R

pweight/tests/bayes_weights_tests.R

pweight/NAMESPACE

pweight/R

pweight/R/spjotvoll_weights.R
pweight/R/pweight.R
pweight/R/onAttach.R
pweight/R/c_1.R
pweight/R/find_crossing.R
pweight/R/exp_weights.R
pweight/R/bayes_weights.R
pweight/R/iGWAS.R
pweight/R/g_fun.R
pweight/vignettes

pweight/vignettes/pweight-basics.Rmd

pweight/vignettes/iGWAS-DataExample.Rmd

pweight/vignettes/weighted.bib

pweight/README.md

pweight/MD5

pweight/build

pweight/build/vignette.rds

pweight/DESCRIPTION

pweight/man

pweight/man/find_crossing.Rd
pweight/man/exp_weights.Rd
pweight/man/g_fun.Rd
pweight/man/c_1.Rd
pweight/man/spjotvoll_weights.Rd
pweight/man/bayes_weights.Rd
pweight/man/iGWAS.Rd
pweight/man/pweight.Rd
Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.