Package: phrapl 0.6.5
phrapl: Phylogeography using Approximate Likelihood
This creates and compares models for population structure within a species or between several related species, especially for questions in phylogeography. It can also help delimit populations into species. Models used can range from island models (populations exchanging genes through migration) to phylogeny models (populations splitting with no subsequent gene flow) to anything in between, such as subdivision with some gene flow. Input data are gene tree topologies. Models are fit using approximate likelihood: simulating gene tree evolution many times on the various population trees to estimate the likelihood of seeing the observed gene topologies.
Authors:
phrapl_0.6.5.tar.gz
phrapl_0.6.5.zip(r-4.5)phrapl_0.6.5.zip(r-4.4)phrapl_0.6.5.zip(r-4.3)
phrapl_0.6.5.tgz(r-4.4-any)phrapl_0.6.5.tgz(r-4.3-any)
phrapl_0.6.5.tar.gz(r-4.5-noble)phrapl_0.6.5.tar.gz(r-4.4-noble)
phrapl_0.6.5.tgz(r-4.4-emscripten)phrapl_0.6.5.tgz(r-4.3-emscripten)
phrapl.pdf |phrapl.html✨
phrapl/json (API)
NEWS
# Install 'phrapl' in R: |
install.packages('phrapl', repos = c('https://phylotastic.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bomeara/phrapl/issues
- assignFile - A description for applying phrapl to a test dataset
- migrationArray - A description for applying phrapl to a test dataset
- migrationArray - A description for applying phrapl to a test dataset
- migrationArray - A description for applying phrapl to a test dataset
- migrationArray - A description for applying phrapl to a test dataset
- migrationArray - A description for applying phrapl to a test dataset
- migrationArray - A description for applying phrapl to a test dataset
- migrationArray - A description for applying phrapl to a test dataset
- migrationArray - A description for applying phrapl to a test dataset
- migrationArray - A description for applying phrapl to a test dataset
- migrationArray - A description for applying phrapl to a test dataset
- popAssignments - A description for applying phrapl to a test dataset
- trees - A description for applying phrapl to a test dataset
Last updated 4 years agofrom:318b236693. Checks:OK: 7. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Aug 22 2024 |
R-4.5-win | OK | Aug 22 2024 |
R-4.5-linux | OK | Aug 22 2024 |
R-4.4-win | OK | Aug 22 2024 |
R-4.4-mac | OK | Aug 22 2024 |
R-4.3-win | OK | Aug 22 2024 |
R-4.3-mac | OK | Aug 22 2024 |
Exports:AddEventToMigrationArrayAddGrowthToAMigrationArrayAdjustUsingBetaAllParamCombinationsArrow3d2CalculateGdiCalculateModelAveragesCalculateNullWeightsCheckFiniteCoalescenceCheckMSColCountIfColCountLastColCountLastZeroColMaxColMinCombineSubsampleLikelihoodsCompileMSCompleteIntervalsConcatenateResultsConcatenateResults_ambiguousParametersConcatenateResults_unambiguousParametersForOldRunsConvertOutputVectorToLikelihoodConvertOutputVectorToLikelihood.1subConvertStructureDataToTreesConvertTreeStringCreateAssignmentCreateAssignment.dfCreateFineGridCreateMSstringGenericCreateMSstringSpecificCreateStartGridDoSingleRowExtractionExtractGridAICsExtractGridParametersExtractOptimizationAICsExtractParametersExtractUnambiguousGridParametersExtractUnambiguousOptimizationParametersFilterForFullyResolvedFilterGridForMigrationFilterMigrationByCriterionFractionNonZeroMigrationGenerateGrowthIndividualsGenerateIntervalsGenerateMigrationArrayMapGenerateMigrationArrayMapTruncGenerateMigrationIndividualsGenerateMigrationIndividualsOneAtATimeGenerateN0multiplierIndividualsGenerateSetLociGetAICweightsGetAndBindLabelGetCladeNamesFromNewickStringGetCladesGetCladesQuicklyGetCollapseGenerationNamesWhenAddedEventsExistgetExponentGetKishESSGetLengthGridListGetNumTreeHistoriesGetOutDegreeOfPolytomiesGetPermutationWeightsGetPermutationWeightsAcrossSubsamplesGetPermutationWeightsBasedOnSamplingGetScaledNrepsGetScoreOfSingleTreeGetTrianglePlotWeightsGridSearchGuessAssignmentsKAllKCollapseMatrixKGrowthMapKN0multiplierMapKPopIntervalLoadMSMatrixContainsAllValuesMergeTreesMigrationindividualModelAverageEachModelMsIndividualParametersMsIndividualParametersConversionToUnambiguousN0multiplierGrowthindividualN0multiplierindividualNumberPopulationsAtRootPassBoundsPassBounds.addedEventsPipeMSPlotModelPlotModel2DPopintervalPrepSubsamplingPrepSubsamplingFilesProportionDifferencePrunedAssignFramePrunedPopVectorReadStructureDataRemoveParameterNAsRenumberWithoutGapsReturnAICReturnIncompletesReturnModelReturnSymmetricMigrationOnlyRowCompleteRowMaxRowMinRunRaxmlRunSeqConverterSaveMovieSaveMSScaleParameterVectorByNeSearchContinuousModelSpaceNLoptrSearchContinuousModelSpaceRGenoudSetMaxKsortParameterTableSplitAndSortSubsampleMSTreeSubsampleMSTree.rawSumDivScaledNrepsSummarizeAveragedModelsAcrossSubsamplesSummarizeParametersAcrossSubsamplesTaxaToDropTaxaToRetainTestForWithinPopCoalescenceThreeSamplesOnlyTruncateToCellsUpdateCompletes
Dependencies:apebase64encbinombslibcachemclicpp11diagramdigestevaluatefastmapfontawesomefsgluegmphighrhtmltoolshtmlwidgetsigraphjquerylibjsonliteknitrlatticelifecyclemagrittrmathjaxrMatrixmemoisemimenlmenloptrnumDerivoptimxpartitionsphyclustpkgconfigpolynompracmaR6rappdirsrbibutilsRColorBrewerRcppRdpackrgenoudrglrlangrmarkdownsasssetsshapetinytexvctrsxfunyaml