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prototest
View on CRAN: Click
here
Download and install prototest package within the R console
Install from CRAN:
install.packages("prototest")
Install from Github:
library("remotes")
install_github("cran/prototest") Install by package version:
library("remotes")
install_version("prototest", "1.2") Attach the package and use:
library("prototest")
Maintained by
Stephen Reid
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-04-19
Latest Update: 2019-02-03
Description:
Procedures for testing for group-wide signal in clusters of variables. Tests can be performed for single groups in isolation (univariate) or multiple groups together (multivariate). Specific tests include the exact and approximate (un)selective likelihood ratio tests described in Reid et al (2015), the selective F test and marginal screening prototype test of Reid and Tibshirani (2015). User may pre-specify columns to be included in prototype formation, or allow the function to select them itself. A mixture of these two is also possible. Any variable selection is accounted for using the selective inference framework. Options for non-sampling and hit-and-run null reference distributions.
How to cite:
Stephen Reid (2016). prototest: Inference on Prototypes from Clusters of Features. R package version 1.2, https://cran.r-project.org/web/packages/prototest. Accessed 05 Mar. 2026.
Previous versions and publish date:
1.1 (2016-04-19 08:59)
Other packages that cited prototest R package
View prototest citation profile
Other R packages that prototest depends,
imports, suggests or enhances
Complete documentation for prototest
Functions, R codes and Examples using
the prototest R package
Some associated functions: print.prototest . prototest-package . prototest.multivariate . prototest.univariate .
Some associated R codes: RcppExports.R . compute.F.statistic.R . compute.QRS.vectors.R . compute.approx.lr.R . compute.exact.lr.R . compute.lr.stat.R . compute.lr.stat.multi.R . compute.mc.t.p.val.R . compute.mc.t.statistic.R . compute.non.selective.p.val.R . compute.selective.ts.and.p.val.R . compute.test.statistic.R . compute.trunc.F.test.p.value.R . enet.selection.A.b.R . enet.selection.A.b.from.enet.R . find.limits.R . find.norm.limits.R . find.overall.truncation.interval.R . find.root.R . find.single.truncation.interval.R . find.where.sign.changes.R . fit.enet.fixed.lambda.R . gradient.truncation.region.function.R . hit.and.run.samples.multivariate.model.R . interval.if.derivative.always.negative.R . interval.if.derivative.always.positive.R . limits.approx.lr.R . limits.exact.lr.R . maximise.lr.R . mc.selection.A.b.R . nonselective.mc.test.R . nonselective.multivariate.F.test.R . print.prototest.R . prototest.multivariate.R . prototest.univariate.R . truncation.region.function.R . update.mu.R . update.sigma.R . update.theta.R . update.theta.approx.R . Full prototest package functions and examples
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