Wed, 29 Jan 2020

Package MGDrivE updated to version 1.5.0 with previous version 1.1.0 dated 2019-08-19

Title: Mosquito Gene Drive Explorer
Description: Provides a model designed to be a reliable testbed where various gene drive interventions for mosquito-borne diseases control. It is being developed to accommodate the use of various mosquito-specific gene drive systems within a population dynamics framework that allows migration of individuals between patches in landscape. Previous work developing the population dynamics can be found in Deredec et al. (2001) <doi:10.1073/pnas.1110717108> and Hancock & Godfray (2007) <doi:10.1186/1475-2875-6-98>, and extensions to accommodate basic CRISPR homing dynamics in Marshall et al. (2017) <doi:10.1038/s41598-017-02744-7>.
Author: Héctor Manuel Sánchez Castellanos [aut, cre], Jared Bennett [aut], Sean Wu [aut], John M. Marshall [aut]
Maintainer: Héctor Manuel Sánchez Castellanos <sanchez.hmsc@berkeley.edu>

Diff between MGDrivE versions 1.1.0 dated 2019-08-19 and 1.5.0 dated 2020-01-29

 MGDrivE-1.1.0/MGDrivE/R/Network-Migration.R                                          |only
 MGDrivE-1.1.0/MGDrivE/R/Patch-Releases.R                                             |only
 MGDrivE-1.1.0/MGDrivE/man/accumulate_ADMnew_Patch.Rd                                 |only
 MGDrivE-1.1.0/MGDrivE/man/calcAquaticStagesSurvivalProbability.Rd                    |only
 MGDrivE-1.1.0/MGDrivE/man/calcMemoryWindow.Rd                                        |only
 MGDrivE-1.1.0/MGDrivE/man/close_allConnections_Network.Rd                            |only
 MGDrivE-1.1.0/MGDrivE/man/createNamedPopMatrix.Rd                                    |only
 MGDrivE-1.1.0/MGDrivE/man/createNamedPopVector.Rd                                    |only
 MGDrivE-1.1.0/MGDrivE/man/getOmega.Rd                                                |only
 MGDrivE-1.1.0/MGDrivE/man/getOmega_Network.Rd                                        |only
 MGDrivE-1.1.0/MGDrivE/man/get_ADMdly_Patch.Rd                                        |only
 MGDrivE-1.1.0/MGDrivE/man/get_ADMnew_Patch.Rd                                        |only
 MGDrivE-1.1.0/MGDrivE/man/get_AF1dly_Patch.Rd                                        |only
 MGDrivE-1.1.0/MGDrivE/man/get_AF1new_Patch.Rd                                        |only
 MGDrivE-1.1.0/MGDrivE/man/get_AdPopEQ_Network.Rd                                     |only
 MGDrivE-1.1.0/MGDrivE/man/get_EGG_Patch.Rd                                           |only
 MGDrivE-1.1.0/MGDrivE/man/get_EGGdly_Patch.Rd                                        |only
 MGDrivE-1.1.0/MGDrivE/man/get_F_Patch.Rd                                             |only
 MGDrivE-1.1.0/MGDrivE/man/get_LAR_Patch.Rd                                           |only
 MGDrivE-1.1.0/MGDrivE/man/get_LARdly_Patch.Rd                                        |only
 MGDrivE-1.1.0/MGDrivE/man/get_Leq_Network.Rd                                         |only
 MGDrivE-1.1.0/MGDrivE/man/get_M_Patch.Rd                                             |only
 MGDrivE-1.1.0/MGDrivE/man/get_NetworkPointer_Patch.Rd                                |only
 MGDrivE-1.1.0/MGDrivE/man/get_PUP_Patch.Rd                                           |only
 MGDrivE-1.1.0/MGDrivE/man/get_PUPdly_Patch.Rd                                        |only
 MGDrivE-1.1.0/MGDrivE/man/get_dayPopGrowth_Network.Rd                                |only
 MGDrivE-1.1.0/MGDrivE/man/get_directory_Network.Rd                                   |only
 MGDrivE-1.1.0/MGDrivE/man/get_drivecubegenotype_Network.Rd                           |only
 MGDrivE-1.1.0/MGDrivE/man/get_g_Network.Rd                                           |only
 MGDrivE-1.1.0/MGDrivE/man/get_genPopGrowth_Network.Rd                                |only
 MGDrivE-1.1.0/MGDrivE/man/get_migrationFemale_Network.Rd                             |only
 MGDrivE-1.1.0/MGDrivE/man/get_migrationMale_Network.Rd                               |only
 MGDrivE-1.1.0/MGDrivE/man/get_patchID_Patch.Rd                                       |only
 MGDrivE-1.1.0/MGDrivE/man/get_patch_Network.Rd                                       |only
 MGDrivE-1.1.0/MGDrivE/man/get_patches_Network.Rd                                     |only
 MGDrivE-1.1.0/MGDrivE/man/get_releaseType_Network.Rd                                 |only
 MGDrivE-1.1.0/MGDrivE/man/get_simTime_Network.Rd                                     |only
 MGDrivE-1.1.0/MGDrivE/man/get_thetaAq_Network.Rd                                     |only
 MGDrivE-1.1.0/MGDrivE/man/get_wildType_Network.Rd                                    |only
 MGDrivE-1.1.0/MGDrivE/man/get_windowSize_Network.Rd                                  |only
 MGDrivE-1.1.0/MGDrivE/man/initPopMatrixArray.Rd                                      |only
 MGDrivE-1.1.0/MGDrivE/man/initPopVectorArray.Rd                                      |only
 MGDrivE-1.1.0/MGDrivE/man/initStagesDurations.Rd                                     |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_admPupating_deterministic_Patch.Rd                  |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_admPupating_stochastic_Patch.Rd                     |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_admSurvival_deterministic_Patch.Rd                  |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_admSurvival_stochastic_Patch.Rd                     |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_af1Mating_deterministic_Patch.Rd                    |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_af1Mating_stochastic_Patch.Rd                       |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_af1Pupation_deterministic_Patch.Rd                  |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_af1Pupation_stochastic_Patch.Rd                     |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_af1Survival_deterministic_Patch.Rd                  |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_af1Survival_stochastic_Patch.Rd                     |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_calcCumulativeLarvalDensityDependentFactor_Patch.Rd |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_calcCumulativePupaDensityDependentFactor_Patch.Rd   |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_calcLarvalDensityDependentFactor_Patch.Rd           |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_eggReleases2adults_Patch.Rd                         |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_eggReleases2eggs_Patch.Rd                           |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_eggsFract2_deterministic_Patch.Rd                   |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_eggsFract2_stochastic_Patch.Rd                      |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_femaleReleases_Patch.Rd                             |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_hatchingFract_deterministic_Patch.Rd                |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_hatchingFract_stochastic_Patch.Rd                   |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_larHatching_deterministic_Patch.Rd                  |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_larHatching_stochastic_Patch.Rd                     |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_larPupating_deterministic_Patch.Rd                  |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_larPupating_stochastic_Patch.Rd                     |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_larSurvival_deterministic_Patch.Rd                  |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_larSurvival_stochastic_Patch.Rd                     |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_maleReleases_Patch.Rd                               |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_numMaleFemale_deterministic_Patch.Rd                |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_numMaleFemale_stochastic_Patch.Rd                   |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_ovipositG1_deterministic_Patch.Rd                   |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_ovipositG1_stochastic_Patch.Rd                      |only
 MGDrivE-1.1.0/MGDrivE/man/oneDay_updatePopulation_Patch.Rd                           |only
 MGDrivE-1.1.0/MGDrivE/man/primePopMatrixArray.Rd                                     |only
 MGDrivE-1.1.0/MGDrivE/man/primePopVectorArray.Rd                                     |only
 MGDrivE-1.1.0/MGDrivE/man/set_ADMnew_Patch.Rd                                        |only
 MGDrivE-1.1.0/MGDrivE/man/set_AF1new_Patch.Rd                                        |only
 MGDrivE-1.1.0/MGDrivE/man/set_migrationFemale_Network.Rd                             |only
 MGDrivE-1.1.0/MGDrivE/man/set_migrationMale_Network.Rd                               |only
 MGDrivE-1.1.0/MGDrivE/man/shiftAndUpdatePopVector.Rd                                 |only
 MGDrivE-1.1.0/MGDrivE/man/turnStochasticityOnOrOff.Rd                                |only
 MGDrivE-1.5.0/MGDrivE/DESCRIPTION                                                    |   11 
 MGDrivE-1.5.0/MGDrivE/MD5                                                            |  349 +--
 MGDrivE-1.5.0/MGDrivE/NAMESPACE                                                      |    9 
 MGDrivE-1.5.0/MGDrivE/NEWS.md                                                        |   37 
 MGDrivE-1.5.0/MGDrivE/R/Cube-1LocusTA.R                                              |    5 
 MGDrivE-1.5.0/MGDrivE/R/Cube-2LocusTA.R                                              |    4 
 MGDrivE-1.5.0/MGDrivE/R/Cube-Auxiliary.R                                             |  122 +
 MGDrivE-1.5.0/MGDrivE/R/Cube-CRISPR1RA.R                                             |    9 
 MGDrivE-1.5.0/MGDrivE/R/Cube-CRISPR2MF.R                                             |    8 
 MGDrivE-1.5.0/MGDrivE/R/Cube-KillerRescue.R                                          |    2 
 MGDrivE-1.5.0/MGDrivE/R/Cube-MEDEA.R                                                 |    5 
 MGDrivE-1.5.0/MGDrivE/R/Cube-RIDL.R                                                  |    4 
 MGDrivE-1.5.0/MGDrivE/R/Cube-RecTrans.R                                              |    2 
 MGDrivE-1.5.0/MGDrivE/R/Cube-SMendelian.R                                            |    5 
 MGDrivE-1.5.0/MGDrivE/R/Cube-SplitDrive.R                                            |only
 MGDrivE-1.5.0/MGDrivE/R/Cube-Wolbachia.R                                             |    4 
 MGDrivE-1.5.0/MGDrivE/R/Cube-tGD.R                                                   |only
 MGDrivE-1.5.0/MGDrivE/R/Cube-tGDX.R                                                  |only
 MGDrivE-1.5.0/MGDrivE/R/MGDrivE-Auxiliary.R                                          |  557 ++---
 MGDrivE-1.5.0/MGDrivE/R/MGDrivE-Graphics.R                                           |  149 -
 MGDrivE-1.5.0/MGDrivE/R/MGDrivE-Releases.R                                           |  241 +-
 MGDrivE-1.5.0/MGDrivE/R/MGDrivE-Setup.R                                              |  256 --
 MGDrivE-1.5.0/MGDrivE/R/MGDrivE.R                                                    |  235 +-
 MGDrivE-1.5.0/MGDrivE/R/Network-Class.R                                              |  417 +---
 MGDrivE-1.5.0/MGDrivE/R/Network-Parameters.R                                         |  417 ++--
 MGDrivE-1.5.0/MGDrivE/R/Network-Simulation.R                                         |  199 --
 MGDrivE-1.5.0/MGDrivE/R/Patch-Class.R                                                |  488 +----
 MGDrivE-1.5.0/MGDrivE/R/Patch-Methods.R                                              |  297 ++-
 MGDrivE-1.5.0/MGDrivE/R/Patch-Migration.R                                            |  168 -
 MGDrivE-1.5.0/MGDrivE/R/Patch-Simulation.R                                           |  939 ++++------
 MGDrivE-1.5.0/MGDrivE/R/RcppExports.R                                                |   61 
 MGDrivE-1.5.0/MGDrivE/R/data.R                                                       |   10 
 MGDrivE-1.5.0/MGDrivE/R/zzz.R                                                        |    4 
 MGDrivE-1.5.0/MGDrivE/build/partial.rdb                                              |binary
 MGDrivE-1.5.0/MGDrivE/build/vignette.rds                                             |binary
 MGDrivE-1.5.0/MGDrivE/inst/CITATION                                                  |   18 
 MGDrivE-1.5.0/MGDrivE/inst/doc/mgdrive_examples.R                                    |  578 ++----
 MGDrivE-1.5.0/MGDrivE/inst/doc/mgdrive_examples.Rmd                                  |  663 +++----
 MGDrivE-1.5.0/MGDrivE/inst/doc/mgdrive_examples.html                                 |  684 +++----
 MGDrivE-1.5.0/MGDrivE/inst/doc/mgdrive_math.R                                        |    2 
 MGDrivE-1.5.0/MGDrivE/inst/doc/mgdrive_math.Rmd                                      |   32 
 MGDrivE-1.5.0/MGDrivE/inst/doc/mgdrive_math.html                                     |   34 
 MGDrivE-1.5.0/MGDrivE/inst/doc/mgdrive_run.R                                         |  126 -
 MGDrivE-1.5.0/MGDrivE/inst/doc/mgdrive_run.Rmd                                       |   77 
 MGDrivE-1.5.0/MGDrivE/inst/doc/mgdrive_run.html                                      |  194 +-
 MGDrivE-1.5.0/MGDrivE/man/MGDrivE-Cube.Rd                                            |   35 
 MGDrivE-1.5.0/MGDrivE/man/MGDrivE-Model.Rd                                           |  162 +
 MGDrivE-1.5.0/MGDrivE/man/MGDrivE.Rd                                                 |   70 
 MGDrivE-1.5.0/MGDrivE/man/Network.Rd                                                 |   45 
 MGDrivE-1.5.0/MGDrivE/man/Patch.Rd                                                   |  122 -
 MGDrivE-1.5.0/MGDrivE/man/aggregateFemales.Rd                                        |   16 
 MGDrivE-1.5.0/MGDrivE/man/aggregateOutput.Rd                                         |    5 
 MGDrivE-1.5.0/MGDrivE/man/basicBatchMigration.Rd                                     |   20 
 MGDrivE-1.5.0/MGDrivE/man/basicRepeatedReleases.Rd                                   |   51 
 MGDrivE-1.5.0/MGDrivE/man/calcAquaticStageSurvivalProbability.Rd                     |    7 
 MGDrivE-1.5.0/MGDrivE/man/calcAverageGenerationTime.Rd                               |    4 
 MGDrivE-1.5.0/MGDrivE/man/calcDensityDependentDeathRate.Rd                           |   22 
 MGDrivE-1.5.0/MGDrivE/man/calcExpKernel.Rd                                           |    4 
 MGDrivE-1.5.0/MGDrivE/man/calcGammaKernel.Rd                                         |    6 
 MGDrivE-1.5.0/MGDrivE/man/calcHurdleExpKernel.Rd                                     |   25 
 MGDrivE-1.5.0/MGDrivE/man/calcLarvalDist.Rd                                          |only
 MGDrivE-1.5.0/MGDrivE/man/calcLarvalPopEquilibrium.Rd                                |    6 
 MGDrivE-1.5.0/MGDrivE/man/calcLarvalStageMortalityRate.Rd                            |   19 
 MGDrivE-1.5.0/MGDrivE/man/calcLognormalKernel.Rd                                     |    6 
 MGDrivE-1.5.0/MGDrivE/man/calcOmega.Rd                                               |only
 MGDrivE-1.5.0/MGDrivE/man/calcPopulationGrowthRate.Rd                                |    7 
 MGDrivE-1.5.0/MGDrivE/man/calcQuantiles.Rd                                           |    9 
 MGDrivE-1.5.0/MGDrivE/man/calcVinEll.Rd                                              |   10 
 MGDrivE-1.5.0/MGDrivE/man/calcZeroInflation.Rd                                       |    8 
 MGDrivE-1.5.0/MGDrivE/man/cube2csv.Rd                                                |    3 
 MGDrivE-1.5.0/MGDrivE/man/cubeHoming1RA.Rd                                           |   17 
 MGDrivE-1.5.0/MGDrivE/man/cubeHomingDrive.Rd                                         |   24 
 MGDrivE-1.5.0/MGDrivE/man/cubeKillerRescue.Rd                                        |   13 
 MGDrivE-1.5.0/MGDrivE/man/cubeMEDEA.Rd                                               |   13 
 MGDrivE-1.5.0/MGDrivE/man/cubeMendelian.Rd                                           |   13 
 MGDrivE-1.5.0/MGDrivE/man/cubeModifiers.Rd                                           |   13 
 MGDrivE-1.5.0/MGDrivE/man/cubeOneLocusTA.Rd                                          |   12 
 MGDrivE-1.5.0/MGDrivE/man/cubeRIDL.Rd                                                |   12 
 MGDrivE-1.5.0/MGDrivE/man/cubeReciprocalTranslocations.Rd                            |   10 
 MGDrivE-1.5.0/MGDrivE/man/cubeSplitDrive.Rd                                          |only
 MGDrivE-1.5.0/MGDrivE/man/cubeTGD.Rd                                                 |only
 MGDrivE-1.5.0/MGDrivE/man/cubeTGDX.Rd                                                |only
 MGDrivE-1.5.0/MGDrivE/man/cubeTwoLocusTA.Rd                                          |   12 
 MGDrivE-1.5.0/MGDrivE/man/cubeWolbachia.Rd                                           |   10 
 MGDrivE-1.5.0/MGDrivE/man/eraseDirectory.Rd                                          |    4 
 MGDrivE-1.5.0/MGDrivE/man/generateReleaseVector.Rd                                   |   20 
 MGDrivE-1.5.0/MGDrivE/man/get_alpha_Network.Rd                                       |    2 
 MGDrivE-1.5.0/MGDrivE/man/get_batchLocRow_Network.Rd                                 |    2 
 MGDrivE-1.5.0/MGDrivE/man/get_batchProbs_Network.Rd                                  |    2 
 MGDrivE-1.5.0/MGDrivE/man/get_batchSex_Network.Rd                                    |    4 
 MGDrivE-1.5.0/MGDrivE/man/get_conF_Network.Rd                                        |    2 
 MGDrivE-1.5.0/MGDrivE/man/get_drivecubeindex_Network.Rd                              |    6 
 MGDrivE-1.5.0/MGDrivE/man/get_eta_Network.Rd                                         |    9 
 MGDrivE-1.5.0/MGDrivE/man/get_femaleMigration_Patch.Rd                               |    4 
 MGDrivE-1.5.0/MGDrivE/man/get_migrationFemaleRow_Network.Rd                          |    2 
 MGDrivE-1.5.0/MGDrivE/man/get_migrationMaleRow_Network.Rd                            |    2 
 MGDrivE-1.5.0/MGDrivE/man/get_omega_Network.Rd                                       |only
 MGDrivE-1.5.0/MGDrivE/man/get_patchReleases_Network.Rd                               |    6 
 MGDrivE-1.5.0/MGDrivE/man/get_timeAq_Network.Rd                                      |    4 
 MGDrivE-1.5.0/MGDrivE/man/ggColUtility.Rd                                            |    4 
 MGDrivE-1.5.0/MGDrivE/man/moveMatAll2.Rd                                             |    2 
 MGDrivE-1.5.0/MGDrivE/man/moveMatTriDiagonal.Rd                                      |    3 
 MGDrivE-1.5.0/MGDrivE/man/multRun_Network.Rd                                         |    6 
 MGDrivE-1.5.0/MGDrivE/man/normalise.Rd                                               |    2 
 MGDrivE-1.5.0/MGDrivE/man/oneDay_Migration_Network.Rd                                |    5 
 MGDrivE-1.5.0/MGDrivE/man/oneDay_Network.Rd                                          |    3 
 MGDrivE-1.5.0/MGDrivE/man/oneDay_PopDynamics_Patch.Rd                                |   13 
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 MGDrivE-1.5.0/MGDrivE/man/oneDay_initOutput_Patch.Rd                                 |    2 
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 MGDrivE-1.5.0/MGDrivE/man/oneDay_migrationIn_Patch.Rd                                |    4 
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 MGDrivE-1.5.0/MGDrivE/man/oneDay_migrationOut_stochastic_Patch.Rd                    |   17 
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 MGDrivE-1.5.0/MGDrivE/man/oneDay_releases_Patch.Rd                                   |only
 MGDrivE-1.5.0/MGDrivE/man/oneDay_writeOutput_Patch.Rd                                |    2 
 MGDrivE-1.5.0/MGDrivE/man/oneRun_Network.Rd                                          |    6 
 MGDrivE-1.5.0/MGDrivE/man/parameterizeMGDrivE.Rd                                     |   72 
 MGDrivE-1.5.0/MGDrivE/man/plotMGDrivEMult.Rd                                         |    8 
 MGDrivE-1.5.0/MGDrivE/man/plotMGDrivESingle.Rd                                       |    9 
 MGDrivE-1.5.0/MGDrivE/man/rDirichlet.Rd                                              |    3 
 MGDrivE-1.5.0/MGDrivE/man/reset_Network.Rd                                           |    3 
 MGDrivE-1.5.0/MGDrivE/man/retrieveOutput.Rd                                          |    3 
 MGDrivE-1.5.0/MGDrivE/man/set_NetworkPointer_Patch.Rd                                |    2 
 MGDrivE-1.5.0/MGDrivE/man/set_initialPopulation_Patch.Rd                             |only
 MGDrivE-1.5.0/MGDrivE/man/set_population_deterministic_Patch.Rd                      |only
 MGDrivE-1.5.0/MGDrivE/man/set_population_stochastic_Patch.Rd                         |only
 MGDrivE-1.5.0/MGDrivE/man/setupMGDrivE.Rd                                            |    4 
 MGDrivE-1.5.0/MGDrivE/man/splitOutput.Rd                                             |   12 
 MGDrivE-1.5.0/MGDrivE/src/MGDrivE-Auxilary.cpp                                       |   80 
 MGDrivE-1.5.0/MGDrivE/src/MGDrivE-DistanceFunctions.cpp                              |   19 
 MGDrivE-1.5.0/MGDrivE/src/MGDrivE-Kernels.cpp                                        |   65 
 MGDrivE-1.5.0/MGDrivE/src/RcppExports.cpp                                            |   22 
 MGDrivE-1.5.0/MGDrivE/vignettes/mgdrive_examples.Rmd                                 |  663 +++----
 MGDrivE-1.5.0/MGDrivE/vignettes/mgdrive_math.Rmd                                     |   32 
 MGDrivE-1.5.0/MGDrivE/vignettes/mgdrive_run.Rmd                                      |   77 
 231 files changed, 4499 insertions(+), 4952 deletions(-)

More information about MGDrivE at CRAN
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Package iai updated to version 1.2.0 with previous version 1.1.0 dated 2019-09-13

Title: Interface to 'Interpretable AI' Modules
Description: An interface to the algorithms of 'Interpretable AI' <https://www.interpretable.ai> from the R programming language. 'Interpretable AI' provides various modules, including 'Optimal Trees' for classification, regression, prescription and survival analysis, 'Optimal Imputation' for missing data imputation and outlier detection, and 'Optimal Feature Selection' for exact sparse regression. The 'iai' package is an open-source project. The 'Interpretable AI' software modules are proprietary products, but free academic and evaluation licenses are available.
Author: Jack Dunn [aut, cre], Ying Zhuo [aut], Interpretable AI LLC [cph]
Maintainer: Jack Dunn <jack@interpretable.ai>

Diff between iai versions 1.1.0 dated 2019-09-13 and 1.2.0 dated 2020-01-29

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Package echor updated to version 0.1.4 with previous version 0.1.3 dated 2019-09-18

Title: Access EPA 'ECHO' Data
Description: An R interface to United States Environmental Protection Agency (EPA) Environmental Compliance History Online ('ECHO') Application Program Interface (API). 'ECHO' provides information about EPA permitted facilities, discharges, and other reporting info associated with permitted entities. Data are obtained from <https://echo.epa.gov/>.
Author: Michael Schramm [aut, cre]
Maintainer: Michael Schramm <michael.schramm@ag.tamu.edu>

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 echor-0.1.4/echor/NEWS.md                                                                 |    9 
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 echor-0.1.4/echor/R/echoGetReports.R                                                      |    2 
 echor-0.1.4/echor/R/helpers.R                                                             |   28 
 echor-0.1.4/echor/R/water.R                                                               |    2 
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Package rmetasim updated to version 3.1.13 with previous version 3.1.7 dated 2018-02-15

Title: An Individual-Based Population Genetic Simulation Environment
Description: An interface between R and the metasim simulation engine. The simulation environment is documented in: "Strand, A.(2002) <DOI:10.1046/j.1471-8286.2002.00208.x> Metasim 1.0: an individual-based environment for simulating population genetics of complex population dynamics. Mol. Ecol. Notes. Please see the vignettes CreatingLandscapes and Simulating to get some ideas on how to use the packages. See the rmetasim vignette to get an overview and to see important changes to the code in the most recent version.
Author: Allan Strand <stranda@cofc.edu>, James Niehaus
Maintainer: Allan Strand <stranda@cofc.edu>

Diff between rmetasim versions 3.1.7 dated 2018-02-15 and 3.1.13 dated 2020-01-29

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Package meta updated to version 4.10-0 with previous version 4.9-9 dated 2019-12-19

Title: General Package for Meta-Analysis
Description: User-friendly general package providing standard methods for meta-analysis and supporting Schwarzer, Carpenter, and Rücker <DOI:10.1007/978-3-319-21416-0>, "Meta-Analysis with R" (2015): - fixed effect and random effects meta-analysis; - several plots (forest, funnel, Galbraith / radial, L'Abbe, Baujat, bubble); - statistical tests and trim-and-fill method to evaluate bias in meta-analysis; - import data from 'RevMan 5'; - prediction interval, Hartung-Knapp and Paule-Mandel method for random effects model; - cumulative meta-analysis and leave-one-out meta-analysis; - meta-regression; - generalised linear mixed models; - produce forest plot summarising several (subgroup) meta-analyses.
Author: Guido Schwarzer [cre, aut] (<https://orcid.org/0000-0001-6214-9087>)
Maintainer: Guido Schwarzer <sc@imbi.uni-freiburg.de>

Diff between meta versions 4.9-9 dated 2019-12-19 and 4.10-0 dated 2020-01-29

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Package rabhit updated to version 0.1.4 with previous version 0.1.1 dated 2019-05-08

Title: Inference Tool for Antibody Haplotype
Description: Infers V-D-J haplotypes and gene deletions from AIRR-seq data, based on IGHJ, IGHD or IGHV as anchor, by adapting a Bayesian framework. It also calculates a Bayes factor, a number that indicates the certainty level of the inference, for each haplotyped gene. Citation: Gidoni, et al (2019) <doi:10.1038/s41467-019-08489-3>. Peres and Gidoni, et al (2019) <doi:10.1093/bioinformatics/btz481>.
Author: Ayelet Peres [aut, cre], Moriah Gidoni [aut], Gur Yaari [aut, cph]
Maintainer: Ayelet Peres <peresay@biu.ac.il>

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 rabhit-0.1.4/rabhit/NAMESPACE                                                                                     |   20 
 rabhit-0.1.4/rabhit/NEWS.md                                                                                       |   20 
 rabhit-0.1.4/rabhit/R/Data.R                                                                                      |   59 
 rabhit-0.1.4/rabhit/R/functions.R                                                                                 |   28 
 rabhit-0.1.4/rabhit/R/graphic_functions.R                                                                         |  835 +++++++---
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 rabhit-0.1.4/rabhit/R/rabhit.R                                                                                    |   55 
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 rabhit-0.1.4/rabhit/man/deletionsByVpooled.Rd                                                                     |   15 
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 rabhit-0.1.4/rabhit/man/hapDendo.Rd                                                                               |   11 
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Package geostatsp updated to version 1.8.0 with previous version 1.7.8 dated 2019-04-16

Title: Geostatistical Modelling with Likelihood and Bayes
Description: Geostatistical modelling facilities using Raster and SpatialPoints objects are provided. Non-Gaussian models are fit using INLA, and Gaussian geostatistical models use Maximum Likelihood Estimation. For details see Brown (2015) <doi:10.18637/jss.v063.i12>.
Author: Patrick Brown <patrick.brown@utoronto.ca>[aut, cre], Robert Hijmans [ctb]
Maintainer: Patrick Brown <patrick.brown@utoronto.ca>

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Package varrank updated to version 0.3 with previous version 0.2 dated 2018-12-20

Title: Heuristics Tools Based on Mutual Information for Variable Ranking
Description: A computational toolbox of heuristics approaches for performing variable ranking and feature selection based on mutual information well adapted for multivariate system epidemiology datasets. The core function is a general implementation of the minimum redundancy maximum relevance model. R. Battiti (1994) <doi:10.1109/72.298224>. Continuous variables are discretized using a large choice of rule. Variables ranking can be learned with a sequential forward/backward search algorithm. The two main problems that can be addressed by this package is the selection of the most representative variable within a group of variables of interest (i.e. dimension reduction) and variable ranking with respect to a set of features of interest.
Author: Gilles Kratzer [aut, cre] (<https://orcid.org/0000-0002-5929-8935>), Reinhard Furrer [ctb] (<https://orcid.org/0000-0002-6319-2332>)
Maintainer: Gilles Kratzer <gilles.kratzer@math.uzh.ch>

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Package RankingProject updated to version 0.2.0 with previous version 0.1.1 dated 2017-03-16

Title: The Ranking Project: Visualizations for Comparing Populations
Description: Functions to generate plots and tables for comparing independently- sampled populations. Companion package to "A Primer on Visualizations for Comparing Populations, Including the Issue of Overlapping Confidence Intervals" by Wright, Klein, and Wieczorek (2019) <DOI:10.1080/00031305.2017.1392359> and "A Joint Confidence Region for an Overall Ranking of Populations" by Klein, Wright, and Wieczorek (2020, in press).
Author: Jerzy Wieczorek [cre, aut], Joel Beard [ctb], Andy Liaw [ctb], Robert Gentleman [ctb], Martin Maechler [ctb]
Maintainer: Jerzy Wieczorek <jerzywieczorek@gmail.com>

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Package openblender updated to version 0.3.5 with previous version 0.3.4 dated 2019-12-11

Title: Request <https://openblender.io> API Services
Description: Interface to make HTTP requests to 'OpenBlender' API services. Go to <https://openblender.io> for more information.
Author: Open Blender Inc. [cph], Daniel V. Pinacho [aut, cre]
Maintainer: Daniel V. Pinacho <danielvpinacho@gmail.com>

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Package EasyMx updated to version 0.2-11 with previous version 0.2-1 dated 2017-10-19

Title: Easy Model-Builder Functions for 'OpenMx'
Description: Utilities for building certain kinds of common matrices and models in the extended structural equation modeling package, 'OpenMx'.
Author: Michael D. Hunter [aut, cre], Joshua N. Pritikin [ctb]
Maintainer: Michael D. Hunter <mhunter.ou@gmail.com>

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Package rqdatatable updated to version 1.2.6 with previous version 1.2.5 dated 2020-01-12

Title: 'rquery' for 'data.table'
Description: Implements the 'rquery' piped Codd-style query algebra using 'data.table'. This allows for a high-speed in memory implementation of Codd-style data manipulation tools.
Author: John Mount [aut, cre], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package diversityForest updated to version 0.2.0 with previous version 0.1.0 dated 2020-01-08

Title: Diversity Forests
Description: Implements diversity forests as described in an upcoming paper by the author of the package. This package is a fork of the R package 'ranger' (main author: Marvin N. Wright) that implements random forests using an efficient C++ implementation. More precisely, 'diversityForest' was written by modifying the code of 'ranger', version 0.11.0. Therefore, details on further functionalities of the code that are not presented in the help pages of 'diversityForest' are found in the help pages of 'ranger' (version 0.11.0). The code in the example sections of the 'diversityForest' manual can be used as a template for all basic application scenarios with respect to classification, regression and survival prediction using univariate, binary splitting. Some function arguments adopted from the 'ranger' package are not be useable with diversity forests (for the current package version).
Author: Roman Hornung [aut, cre], Marvin N. Wright [ctb, cph]
Maintainer: Roman Hornung <hornung@ibe.med.uni-muenchen.de>

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Package directlabels updated to version 2018.05.22.1 with previous version 2018.05.22 dated 2018-05-25

Title: Direct Labels for Multicolor Plots
Description: An extensible framework for automatically placing direct labels onto multicolor 'lattice' or 'ggplot2' plots. Label positions are described using Positioning Methods which can be re-used across several different plots. There are heuristics for examining "trellis" and "ggplot" objects and inferring an appropriate Positioning Method.
Author: Toby Dylan Hocking
Maintainer: ORPHANED

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Package rvertnet updated to version 0.8.0 with previous version 0.7.0 dated 2018-04-17

Title: Search 'Vertnet', a 'Database' of Vertebrate Specimen Records
Description: Retrieve, map and summarize data from the 'VertNet.org' archives (<http://vertnet.org/>). Functions allow searching by many parameters, including 'taxonomic' names, places, and dates. In addition, there is an interface for conducting spatially delimited searches, and another for requesting large 'datasets' via email.
Author: Scott Chamberlain [aut, cre] (0000-0003-1444-9135), Chris Ray [ctb], Vijay Barve [ctb]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package EGAnet updated to version 0.9.1 with previous version 0.9.0 dated 2020-01-18

Title: Exploratory Graph Analysis - A Framework for Estimating the Number of Dimensions in Multivariate Data Using Network Psychometrics
Description: An implementation of the Exploratory Graph Analysis (EGA) framework for dimensionality assessment. EGA is part of a new area called network psychometrics that focuses on the estimation of undirected network models in psychological datasets. EGA estimates the number of dimensions or factors using graphical lasso or Triangulated Maximally Filtered Graph (TMFG) and a weighted network community analysis. A bootstrap method for verifying the stability of the estimation is also available. The fit of the structure suggested by EGA can be verified using confirmatory factor analysis and a direct way to convert the EGA structure to a confirmatory factor model is also implemented. Documentation and examples are available. Golino, H. F., & Epskamp, S. (2017) <doi:10.1371/journal.pone.0174035>. Golino, H. F., & Demetriou, A. (2017) <doi:10.1016/j.intell.2017.02.007> Golino, H., Shi, D., Garrido, L. E., Christensen, A. P., Nieto, M. D., Sadana, R., & Thiyagarajan, J. A. (2018) <doi:10.31234/osf.io/gzcre>. Christensen, A. P. & Golino, H.F. (2019) <doi:10.31234/osf.io/9deay>.
Author: Hudson Golino [aut, cre] (<https://orcid.org/0000-0002-1601-1447>), Alexander Christensen [aut] (<https://orcid.org/0000-0002-9798-7037>), Robert Moulder [ctb] (<https://orcid.org/0000-0001-7504-9560>)
Maintainer: Hudson Golino <hfg9s@virginia.edu>

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Package rrtable updated to version 0.1.6 with previous version 0.1.0 dated 2018-07-27

Title: Reproducible Research with a Table of R Codes
Description: Makes documents containing plots and tables from a table of R codes. Can make "HTML", "pdf('LaTex')", "docx('MS Word')" and "pptx('MS Powerpoint')" documents with or without R code. In the package, modularized 'shiny' app codes are provided. These modules are intended for reuse across applications.
Author: Keon-Woong Moon [aut, cre]
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>

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Package optimos.prime updated to version 0.1.2 with previous version 0.1.1 dated 2019-12-17

Title: Optimos Prime Helps Calculate Autoecological Data for Biological Species
Description: Calculates autoecological data (optima and tolerance ranges) of a biological species given an environmental matrix. The package calculates by weighted averaging, using the number of occurrences to adjust the tolerance assigned to each taxon to estimate optima and tolerance range in cases where taxa have unequal occurrences. See the detailed methodology by Birks et al. (1990) <doi:10.1098/rstb.1990.0062>, and a case example by Potapova and Charles (2003) <doi:10.1046/j.1365-2427.2003.01080.x>.
Author: María Belén Sathicq [aut], María Mercedes Nicolosi Gelis [aut], Joaquín Cochero [cre]
Maintainer: Joaquín Cochero <jcochero@ilpla.edu.ar>

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Package hereR updated to version 0.3.1 with previous version 0.3.0 dated 2020-01-07

Title: 'sf'-Based Interface to the 'HERE' REST APIs
Description: Interface to the 'HERE' REST APIs <https://developer.here.com/develop/rest-apis>: (1) geocode and autocomplete addresses or reverse geocode POIs using the 'Geocoder' API; (2) route directions, travel distance or time matrices and isolines using the 'Routing' API; (3) request real-time traffic flow and incident information from the 'Traffic' API; (4) find request public transport connections and nearby stations from the 'Public Transit' API; (5) get weather forecasts, reports on current weather conditions, astronomical information and alerts at a specific location from the 'Destination Weather' API. Locations, routes and isolines are returned as 'sf' objects.
Author: Merlin Unterfinger [aut, cre]
Maintainer: Merlin Unterfinger <info@munterfinger.ch>

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Package AzureKusto updated to version 1.0.5 with previous version 1.0.4 dated 2019-10-26

Title: Interface to 'Kusto'/'Azure Data Explorer'
Description: An interface to 'Azure Data Explorer', also known as 'Kusto', a fast, highly scalable data exploration service from Microsoft: <https://azure.microsoft.com/en-us/services/data-explorer/>. Includes 'DBI' and 'dplyr' interfaces, with the latter modelled after the 'dbplyr' package, whereby queries are translated from R into the native 'KQL' query language and executed lazily. On the admin side, the package extends the object framework provided by 'AzureRMR' to support creation and deletion of databases, and management of database principals. Part of the 'AzureR' family of packages.
Author: Hong Ooi [aut], Alex Kyllo [aut, cre], dbplyr development team [cph] (Original framework for dplyr/database interface), Microsoft [cph]
Maintainer: Alex Kyllo <jekyllo@microsoft.com>

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Package Surrogate updated to version 1.6 with previous version 1.5 dated 2019-12-06

Title: Evaluation of Surrogate Endpoints in Clinical Trials
Description: In a clinical trial, it frequently occurs that the most credible outcome to evaluate the effectiveness of a new therapy (the true endpoint) is difficult to measure. In such a situation, it can be an effective strategy to replace the true endpoint by a (bio)marker that is easier to measure and that allows for a prediction of the treatment effect on the true endpoint (a surrogate endpoint). The package 'Surrogate' allows for an evaluation of the appropriateness of a candidate surrogate endpoint based on the meta-analytic, information-theoretic, and causal-inference frameworks. Part of this software has been developed using funding provided from the European Union's Seventh Framework Programme for research, technological development and demonstration under Grant Agreement no 602552.
Author: Wim Van der Elst, Paul Meyvisch, Alvaro Florez Poveda, Ariel Alonso, Hannah M. Ensor, Christopher J. Weir & Geert Molenberghs
Maintainer: Wim Van der Elst <Wim.vanderelst@gmail.com>

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Package RcppAlgos updated to version 2.3.6 with previous version 2.3.5 dated 2020-01-26

Title: High Performance Tools for Combinatorics and Computational Mathematics
Description: Provides optimized functions implemented in C++ with 'Rcpp' for solving problems in combinatorics and computational mathematics. Utilizes parallel programming via 'RcppThread' for maximal performance. Also makes use of the RMatrix class from the 'RcppParallel' library. There are combination/permutation functions with constraint parameters that allow for generation of all combinations/permutations of a vector meeting specific criteria (e.g. generating integer partitions/compositions or finding all combinations such that the sum is between two bounds). Capable of generating specific combinations/permutations (e.g. retrieve only the nth lexicographical result) which sets up nicely for parallelization as well as random sampling. Gmp support permits exploration where the total number of results is large (e.g. comboSample(10000, 500, n = 4)). Additionally, there are several high performance number theoretic functions that are useful for problems common in computational mathematics. Some of these functions make use of the fast integer division library 'libdivide'. The primeSieve function is based on the segmented sieve of Eratosthenes implementation by Kim Walisch. It is also efficient for large numbers by using the cache friendly improvements originally developed by Tomás Oliveira. Finally, there is a prime counting function that implements Legendre's formula based on the work of Kim Walisch.
Author: Joseph Wood
Maintainer: Joseph Wood <jwood000@gmail.com>

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Package genridge updated to version 0.6.7 with previous version 0.6-6 dated 2017-10-06

Title: Generalized Ridge Trace Plots for Ridge Regression
Description: The genridge package introduces generalizations of the standard univariate ridge trace plot used in ridge regression and related methods. These graphical methods show both bias (actually, shrinkage) and precision, by plotting the covariance ellipsoids of the estimated coefficients, rather than just the estimates themselves. 2D and 3D plotting methods are provided, both in the space of the predictor variables and in the transformed space of the PCA/SVD of the predictors.
Author: Michael Friendly [aut, cre]
Maintainer: Michael Friendly <friendly@yorku.ca>

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Package miceRanger updated to version 1.3.0 with previous version 1.2.0 dated 2020-01-20

Title: Multiple Imputation by Chained Equations with Random Forests
Description: Multiple Imputation has been shown to be a flexible method to impute missing values by Van Buuren (2007) <doi:10.1177/0962280206074463>. Expanding on this, random forests have been shown to be an accurate model by Stekhoven and Buhlmann <arXiv:1105.0828> to impute missing values in datasets. They have the added benefits of returning out of bag error and variable importance estimates, as well as being simple to run in parallel.
Author: Sam Wilson [aut, cre]
Maintainer: Sam Wilson <samwilson303@gmail.com>

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Package Guerry updated to version 1.7.0 with previous version 1.6-1 dated 2014-09-26

Title: Maps, Data and Methods Related to Guerry (1833) "Moral Statistics of France"
Description: Maps of France in 1830, multivariate datasets from A.-M. Guerry and others, and statistical and graphic methods related to Guerry's "Moral Statistics of France". The goal is to facilitate the exploration and development of statistical and graphic methods for multivariate data in a geo-spatial context of historical interest.
Author: Michael Friendly [aut, cre], Stephane Dray [aut]
Maintainer: Michael Friendly <friendly@yorku.ca>

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Package geofd updated to version 2.0 with previous version 1.0 dated 2015-10-05

Title: Spatial Prediction for Function Value Data
Description: Kriging based methods are used for predicting functional data (curves) with spatial dependence.
Author: Ramon Giraldo <rgiraldoh@unal.edu.co>, Pedro Delicado <pedro.delicado@upc.edu>, Jorge Mateu <mateu@mat.uji.es>
Maintainer: Pedro Delicado <pedro.delicado@upc.edu>

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Package sperich updated to version 1.5-8 with previous version 1.5-7 dated 2015-07-08

Title: Auxiliary Functions to Estimate Centers of Biodiversity
Description: Provides some easy-to-use functions to interpolate species range based on species occurrences and to estimate centers of biodiversity.
Author: Maximilian Lange, Sven Lautenbach, Claudia Raedig
Maintainer: Maximilian Lange <maximilian-lange@t-online.de>

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Package statsExpressions updated to version 0.3.0 with previous version 0.2.1 dated 2020-01-23

Title: Expressions with Statistical Details
Description: Statistical processing backend for 'ggstatsplot', this package creates expressions with details from statistical tests. Currently, it supports only the most common types of statistical tests: parametric, nonparametric, robust, and bayesian versions of t-test/anova, correlation analyses, contingency table analysis, and meta-analysis.
Author: Indrajeet Patil [cre, aut, ctb] (<https://orcid.org/0000-0003-1995-6531>), Chuck Powell [ctb] (<https://orcid.org/0000-0002-3606-2188>)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Package mcmcse updated to version 1.4-1 with previous version 1.3-2 dated 2017-07-04

Title: Monte Carlo Standard Errors for MCMC
Description: Provides tools for computing Monte Carlo standard errors (MCSE) in Markov chain Monte Carlo (MCMC) settings. MCSE computation for expectation and quantile estimators is supported as well as multivariate estimations. The package also provides functions for computing effective sample size and for plotting Monte Carlo estimates versus sample size.
Author: James M. Flegal <jflegal@ucr.edu>, John Hughes <j.hughes@ucdenver.edu>, Dootika Vats <dootika@iitk.ac.in>, and Ning Dai <daixx224@umn.edu>
Maintainer: Dootika Vats <dootika@iitk.ac.in>

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Package clustree updated to version 0.4.2 with previous version 0.4.1 dated 2019-08-21

Title: Visualise Clusterings at Different Resolutions
Description: Deciding what resolution to use can be a difficult question when approaching a clustering analysis. One way to approach this problem is to look at how samples move as the number of clusters increases. This package allows you to produce clustering trees, a visualisation for interrogating clusterings as resolution increases.
Author: Luke Zappia [aut, cre] (<https://orcid.org/0000-0001-7744-8565>), Alicia Oshlack [aut] (<https://orcid.org/0000-0001-9788-5690>), Andrea Rau [ctb], Paul Hoffman [ctb] (<https://orcid.org/0000-0002-7693-8957>)
Maintainer: Luke Zappia <luke@lazappi.id.au>

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Package chest updated to version 0.3.1 with previous version 0.2.0 dated 2019-12-16

Title: Change-in-Estimate Approach to Assess Confounding Effects
Description: Applies the change-in-effect estimate method to assess confounding effects in medical and epidemiological research (Greenland & Pearce (2016) <doi:10.1146/annurev-publhealth-031914-122559> ). It starts with a crude model including only the outcome and exposure variables. At each of the subsequent steps, one variable which creates the largest change among the remaining variables is selected. This process is repeated until all variables have been entered into the model (Wang Z (2007) <doi:10.1177/1536867X0700700203> ). Currently, the 'chest' package has functions for linear regression, logistic regression, negative binomial regression, Cox proportional hazards model and conditional logistic regression.
Author: Zhiqiang Wang [aut, cre]
Maintainer: Zhiqiang Wang <zhiqiang.wang@menzies.edu.au>

Diff between chest versions 0.2.0 dated 2019-12-16 and 0.3.1 dated 2020-01-29

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More information about chest at CRAN
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Package fdaPDE (with last version 1.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2020-01-17 1.0
2019-10-14 0.1-6

Permanent link
New package RClickhouse with initial version 0.5
Package: RClickhouse
Type: Package
Title: A 'DBI' Interface to the 'Yandex Clickhouse' Database Providing Basic 'dplyr' Support
Version: 0.5
Encoding: UTF-8
Authors@R: c( person("Christian", "Hotz-Behofsits", email = "christian.hotz-behofsits@wu.ac.at", role = c("aut", "cre")), person("Peter", "Knaus", email = "peter.knaus@wu.ac.at", role = c("aut")), person("Daniel", "Winkler", email = "daniel.winkler@wu.ac.at", role = c("aut")), person("Clemens", "Danninger", email="cran@b8000h.org", role = c("aut")), person("Simon", "Stiebellehner", email="simon.stiebellehner@gmail.com", role = c("aut")), person("Dan", "Egnor", role = c("aut")), person("Vlad", "Losev", email = "vladl@google.com", role = c("aut")), person("Keith", "Ray", email = "keith.ray@gmail.com", role = c("aut")), person("Zhanyong", "Wan", email = "wan@google.com", role = c("aut")), person("Markus", "Heule", email = "mheule@google.com", role = c("aut")), person("Oliver", "Flasch", email = "oflasch@gmail.com", role = c("aut")), person(family = "Google", role = c("cph")), person("Yann", "Collet", role = c("cph")) )
Description: 'Yandex Clickhouse' (<https://clickhouse.yandex/>) is a high-performance relational column-store database to enable big data exploration and 'analytics' scaling to petabytes of data. Methods are provided that enable working with 'Yandex Clickhouse' databases via 'DBI' methods and using 'dplyr'/'dbplyr' idioms.
License: GPL-2
SystemRequirements: C++11
Imports: dplyr (>= 0.7.0), dbplyr (>= 1.0.0), methods (>= 3.3.2), DBI (>= 0.6.0), Rcpp (>= 0.11.0), yaml (>= 2.1.14), bit64
LazyData: true
RoxygenNote: 7.0.1
NeedsCompilation: yes
Depends: R (>= 3.3)
Suggests: testthat
Collate: 'RcppExports.R' 'RClickhouse.R' 'ClickhouseDriver.R' 'ClickhouseConnection.R' 'ClickhouseResult.R' 'dbplyr-helpers.R' 'dplyr.R' 'zzz.R'
URL: https://github.com/IMSMWU/RClickhouse
BugReports: https://github.com/IMSMWU/RClickhouse/issues
LinkingTo: Rcpp
Packaged: 2020-01-29 03:12:50 UTC; chris
Author: Christian Hotz-Behofsits [aut, cre], Peter Knaus [aut], Daniel Winkler [aut], Clemens Danninger [aut], Simon Stiebellehner [aut], Dan Egnor [aut], Vlad Losev [aut], Keith Ray [aut], Zhanyong Wan [aut], Markus Heule [aut], Oliver Flasch [aut], Google [cph], Yann Collet [cph]
Maintainer: Christian Hotz-Behofsits <christian.hotz-behofsits@wu.ac.at>
Repository: CRAN
Date/Publication: 2020-01-29 10:30:02 UTC

More information about RClickhouse at CRAN
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Package ImpactEffectsize updated to version 0.3.1 with previous version 0.3.0 dated 2020-01-14

Title: Calculation and Visualization of the Impact Effect Size Measure
Description: A non-parametric effect size measure capturing changes in central tendency or shape of data distributions. The package provides the necessary functions to calculate and plot the Impact effect size measure between two groups.
Author: Jorn Lotsch[aut,cre], Alfred Ultsch[aut]
Maintainer: Jorn Lotsch <j.loetsch@em.uni-frankfurt.de>

Diff between ImpactEffectsize versions 0.3.0 dated 2020-01-14 and 0.3.1 dated 2020-01-29

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Package fable updated to version 0.1.2 with previous version 0.1.1 dated 2019-12-06

Title: Forecasting Models for Tidy Time Series
Description: Provides a collection of commonly used univariate and multivariate time series forecasting models including automatically selected exponential smoothing (ETS) and autoregressive integrated moving average (ARIMA) models. These models work within the 'fable' framework provided by the 'fabletools' package, which provides the tools to evaluate, visualise, and combine models in a workflow consistent with the tidyverse.
Author: Mitchell O'Hara-Wild [aut, cre], Rob Hyndman [aut], Earo Wang [aut], Gabriel Caceres [ctb] (NNETAR implementation)
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package distr6 updated to version 1.3.3 with previous version 1.3.2 dated 2020-01-12

Title: The Complete R6 Probability Distributions Interface
Description: An R6 object oriented distributions package. Unified interface for 42 probability distributions and 11 kernels including functionality for multiple scientific types. Additionally functionality for composite distributions and numerical imputation. Design patterns including wrappers and decorators are described in Gamma et al. (1994, ISBN:0-201-63361-2). For quick reference of probability distributions including d/p/q/r functions and results we refer to McLaughlin, M. P. (2001). Additionally Devroye (1986, ISBN:0-387-96305-7) for sampling the Dirichlet distribution, Gentle (2009) <doi:10.1007/978-0-387-98144-4> for sampling the Multivariate Normal distribution and Michael et al. (1976) <doi:10.2307/2683801> for sampling the Wald distribution.
Author: Raphael Sonabend [aut, cre] (<https://orcid.org/0000-0001-9225-4654>), Franz Kiraly [aut], Peter Ruckdeschel [ctb] (Author of distr), Matthias Kohl [ctb] (Author of distr), Shen Chen [ctb], Jordan Deenichin [ctb], Chengyang Gao [ctb], Chloe Zhaoyuan Gu [ctb], Yunjie He [ctb], Xiaowen Huang [ctb], Shuhan Liu [ctb], Runlong Yu [ctb], Chijing Zeng [ctb], Qian Zhou [ctb]
Maintainer: Raphael Sonabend <raphael.sonabend.15@ucl.ac.uk>

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Package VeryLargeIntegers updated to version 0.1.8 with previous version 0.1.6 dated 2018-02-21

Title: Store and Operate with Arbitrarily Large Integers
Description: Multi-precision library that allows to store and operate with arbitrarily big integers without loss of precision. It includes a large list of tools to work with them, like: - Arithmetic and logic operators - Modular-arithmetic operators - Computer Number Theory utilities - Probabilistic primality tests - Factorization algorithms - Random generators of diferent types of integers.
Author: Javier Leiva Cuadrado
Maintainer: Javier Leiva Cuadrado <jleivacuadrado@gmail.com>

Diff between VeryLargeIntegers versions 0.1.6 dated 2018-02-21 and 0.1.8 dated 2020-01-29

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Package RNeXML updated to version 2.4.2 with previous version 2.4.0 dated 2019-11-08

Title: Semantically Rich I/O for the 'NeXML' Format
Description: Provides access to phyloinformatic data in 'NeXML' format. The package should add new functionality to R such as the possibility to manipulate 'NeXML' objects in more various and refined way and compatibility with 'ape' objects.
Author: Carl Boettiger [cre, aut] (<https://orcid.org/0000-0002-1642-628X>), Scott Chamberlain [aut] (<https://orcid.org/0000-0003-1444-9135>), Hilmar Lapp [aut] (<https://orcid.org/0000-0001-9107-0714>), Kseniia Shumelchyk [aut], Rutger Vos [aut] (<https://orcid.org/0000-0001-9254-7318>)
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package RMaCzek updated to version 1.3 with previous version 1.2.0 dated 2020-01-21

Title: Czekanowski's Diagrams
Description: Allows for production of Czekanowski's Diagrams. See A. Vasterlund (2019) Master thesis, Linkoping University.
Author: Albin Vasterlund [aut], Krzysztof Bartoszek [cre, aut, ths]
Maintainer: Krzysztof Bartoszek <krzbar@protonmail.ch>

Diff between RMaCzek versions 1.2.0 dated 2020-01-21 and 1.3 dated 2020-01-29

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New package mixsqp with initial version 0.3-17
Encoding: UTF-8
Type: Package
Package: mixsqp
Version: 0.3-17
Date: 2020-01-28
Title: Sequential Quadratic Programming for Fast Maximum-Likelihood Estimation of Mixture Proportions
Authors@R: c(person("Youngseok","Kim",role="aut", email="youngseok@uchicago.edu"), person("Peter","Carbonetto",role=c("aut","cre"), email="peter.carbonetto@gmail.com"), person("Mihai","Anitescu",role="aut"), person("Matthew","Stephens",role="aut"), person("Jason","Willwerscheid",role="ctb"), person("Jean","Morrison",role="ctb"))
URL: https://github.com/stephenslab/mixsqp
BugReports: https://github.com/stephenslab/mixsqp/issues
Depends: R (>= 3.3.0)
Description: Provides an optimization method based on sequential quadratic programming (SQP) for maximum likelihood estimation of the mixture proportions in a finite mixture model where the component densities are known. The algorithm is expected to obtain solutions that are at least as accurate as the state-of-the-art MOSEK interior-point solver (called by function "KWDual" in the 'REBayes' package), and they are expected to arrive at solutions more quickly when the number of samples is large and the number of mixture components is small. This implements the "mix-SQP" algorithm (without the low-rank approximation) described in Y. Kim, P. Carbonetto, M. Stephens & M. Anitescu (2018) <arXiv:1806.01412>.
License: MIT + file LICENSE
Imports: stats, irlba, Rcpp (>= 0.12.15)
Suggests: REBayes, Rmosek, testthat, knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo
LazyData: true
NeedsCompilation: yes
VignetteBuilder: knitr
RoxygenNote: 7.0.2
Packaged: 2020-01-28 17:39:25 UTC; pcarbo
Author: Youngseok Kim [aut], Peter Carbonetto [aut, cre], Mihai Anitescu [aut], Matthew Stephens [aut], Jason Willwerscheid [ctb], Jean Morrison [ctb]
Maintainer: Peter Carbonetto <peter.carbonetto@gmail.com>
Repository: CRAN
Date/Publication: 2020-01-29 09:50:03 UTC

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Package av updated to version 0.5.0 with previous version 0.4.0 dated 2020-01-19

Title: Working with Audio and Video in R
Description: Bindings to 'FFmpeg' <http://www.ffmpeg.org/> AV library for working with audio and video in R. Generates high quality video from images or R graphics with custom audio. Also offers high performance tools for reading raw audio, creating 'spectrograms', and converting between countless audio / video formats. This package interfaces directly to the C API and does not require any command line utilities.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package airGR updated to version 1.4.3.60 with previous version 1.4.3.52 dated 2020-01-21

Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling
Description: Hydrological modelling tools developed at INRAE-Antony (HYCAR Research Unit, France). The package includes several conceptual rainfall-runoff models (GR4H, GR5H, GR4J, GR5J, GR6J, GR2M, GR1A), a snow accumulation and melt model (CemaNeige) and the associated functions for their calibration and evaluation. Use help(airGR) for package description and references.
Author: Laurent Coron [aut, trl] (<https://orcid.org/0000-0002-1503-6204>), Olivier Delaigue [aut, cre] (<https://orcid.org/0000-0002-7668-8468>), Guillaume Thirel [aut] (<https://orcid.org/0000-0002-1444-1830>), Charles Perrin [aut, ths] (<https://orcid.org/0000-0001-8552-1881>), Claude Michel [aut, ths], Vazken Andréassian [ctb, ths] (<https://orcid.org/0000-0001-7124-9303>), François Bourgin [ctb] (<https://orcid.org/0000-0002-2820-7260>, 'Parameter estimation' vignettes), Pierre Brigode [ctb] (<https://orcid.org/0000-0001-8257-0741>), Nicolas Le Moine [ctb], Thibaut Mathevet [ctb] (<https://orcid.org/0000-0002-4142-4454>), Safouane Mouelhi [ctb], Ludovic Oudin [ctb] (<https://orcid.org/0000-0002-3712-0933>), Raji Pushpalatha [ctb], Audrey Valéry [ctb]
Maintainer: Olivier Delaigue <airGR@inrae.fr>

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Package icesTAF updated to version 3.3-3 with previous version 3.3-2 dated 2020-01-07

Title: Functions to Support the ICES Transparent Assessment Framework
Description: Functions to support the ICES Transparent Assessment Framework <https://taf.ices.dk> to organize data, methods, and results used in ICES assessments. ICES is an organization facilitating international collaboration in marine science.
Author: Arni Magnusson [aut, cre], Colin Millar [aut], Alexandros Kokkalis [ctb], Ibrahim Umar [ctb]
Maintainer: Arni Magnusson <arni.magnusson@ices.dk>

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Package fabletools updated to version 0.1.2 with previous version 0.1.1 dated 2019-09-16

Title: Core Tools for Packages in the 'fable' Framework
Description: Provides tools, helpers and data structures for developing models and time series functions for 'fable' and extension packages. These tools support a consistent and tidy interface for time series modelling and analysis.
Author: Mitchell O'Hara-Wild [aut, cre], Rob Hyndman [aut], Earo Wang [aut], Di Cook [ctb], George Athanasopoulos [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package ExPanDaR updated to version 0.5.1 with previous version 0.5.0 dated 2020-01-10

Title: Explore Your Data Interactively
Description: Provides a shiny-based front end (the 'ExPanD' app) and a set of functions for exploratory data analysis. Run as a web-based app, 'ExPanD' enables users to assess the robustness of empirical evidence without providing them access to the underlying data. You can export a notebook containing the analysis of 'ExPanD' and/or use the functions of the package to support your exploratory data analysis workflow. Refer to the vignettes of the package for more information on how to use 'ExPanD' and/or the functions of this package.
Author: Joachim Gassen [aut, cre] (<https://orcid.org/0000-0003-4364-2911>)
Maintainer: Joachim Gassen <gassen@wiwi.hu-berlin.de>

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Package tibbleOne updated to version 0.1.1 with previous version 0.1.0 dated 2019-10-28

Title: Table One for 'Latex', 'Word', and 'Html' 'R Markdown' Documents
Description: Table one is a tabular description of characteristics, e.g., demographics of patients in a clinical trial, presented overall and also stratified by a categorical variable, e.g. treatment group. There are many excellent packages available to create table one. This package focuses on providing table one objects that seamlessly fit into 'R Markdown' analyses.
Author: Byron Jaeger [aut, cre] (<https://orcid.org/0000-0001-7399-2299>), Boyi Guo [ctb]
Maintainer: Byron Jaeger <bcjaeger@uab.edu>

Diff between tibbleOne versions 0.1.0 dated 2019-10-28 and 0.1.1 dated 2020-01-29

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Package readwritesqlite updated to version 0.1.0 with previous version 0.0.2 dated 2019-07-23

Title: Enhanced Reading and Writing for 'SQLite' Databases
Description: Reads and writes data frames to 'SQLite' databases while preserving time zones (for POSIXct columns), projections (for 'sfc' columns), units (for 'units' columns), levels (for factors and ordered factors) and classes for logical, Date and 'hms' columns. It also logs changes to tables and provides more informative error messages.
Author: Joe Thorley [aut, cre] (<https://orcid.org/0000-0002-7683-4592>), Sebastian Dalgarno [ctb] (<https://orcid.org/0000-0002-3658-4517>), Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

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Package rbhl updated to version 0.9.0 with previous version 0.8.0 dated 2017-04-12

Title: Interface to the 'Biodiversity' 'Heritage' Library
Description: Interface to 'Biodiversity' 'Heritage' Library ('BHL') (<https://www.biodiversitylibrary.org/>) API (<https://www.biodiversitylibrary.org/docs/api3.html>). 'BHL' is a repository of 'digitized' literature on 'biodiversity' studies, including 'floras', research papers, and more.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package pbdMPI updated to version 0.4-3 with previous version 0.4-2 dated 2019-12-08

Title: Programming with Big Data -- Interface to MPI
Description: An efficient interface to MPI by utilizing S4 classes and methods with a focus on Single Program/Multiple Data ('SPMD') parallel programming style, which is intended for batch parallel execution.
Author: Wei-Chen Chen [aut, cre], George Ostrouchov [aut], Drew Schmidt [aut], Pragneshkumar Patel [aut], Hao Yu [aut], Christian Heckendorf [ctb] (FreeBSD), Brian Ripley [ctb] (Windows HPC Pack 2012), R Core team [ctb] (some functions are modified from the base packages), Sebastien Lamy de la Chapelle [aut] (fix check type for send/recv long vectors)
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

Diff between pbdMPI versions 0.4-2 dated 2019-12-08 and 0.4-3 dated 2020-01-29

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 DESCRIPTION       |    8 ++++----
 MD5               |    8 ++++----
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 man/uu_execmpi.Rd |   31 ++++++++++++++++++++++++++-----
 5 files changed, 55 insertions(+), 23 deletions(-)

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Package imgw updated to version 0.3.0 with previous version 0.2.0 dated 2019-09-12

Title: Polish Meteorological and Hydrological Data
Description: Download Polish meteorological and hydrological data from the Institute of Meteorology and Water Management - National Research Institute (<https://dane.imgw.pl/>). This package also allows for adding geographical coordinates for each observation.
Author: Bartosz Czernecki [aut, cre] (<https://orcid.org/0000-0001-6496-1386>), Arkadiusz Głogowski [aut] (<https://orcid.org/0000-0002-7587-8892>), Jakub Nowosad [aut] (<https://orcid.org/0000-0002-1057-3721>), IMGW-PIB [ctb] (source of the data)
Maintainer: Bartosz Czernecki <nwp@amu.edu.pl>

Diff between imgw versions 0.2.0 dated 2019-09-12 and 0.3.0 dated 2020-01-29

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Package SubgrPlots updated to version 0.1.3 with previous version 0.1.2 dated 2020-01-13

Title: Graphical Displays for Subgroup Analysis in Clinical Trials
Description: Provides functions for obtaining a variety of graphical displays that may be useful in the subgroup analysis setting. An example with a prostate cancer dataset is provided. The graphical techniques considered include level plots, mosaic plots, contour plots, bar charts, Venn diagrams, tree plots, forest plots, Galbraith plots, L'Abbé plots, the subpopulation treatment effect pattern plot, alluvial plots, circle plots and UpSet plots.
Author: Nicolas Ballarini [aut, cre], Yi-Da Chiu [aut], Jake Conway [ctb], Nils Gehlenborg [ctb], Michal Bojanowski [ctb], Robin Edwards [ctb]
Maintainer: Nicolas Ballarini <nicoballarini@gmail.com>

Diff between SubgrPlots versions 0.1.2 dated 2020-01-13 and 0.1.3 dated 2020-01-29

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Package etm updated to version 1.0.5.1 with previous version 1.0.5 dated 2019-05-28

Title: Empirical Transition Matrix
Description: The etm (empirical transition matrix) package permits to estimate the matrix of transition probabilities for any time-inhomogeneous multistate model with finite state space using the Aalen-Johansen estimator. Functions for data preparation and for displaying are also included (Allignol et al., 2011 <doi:10.18637/jss.v038.i04>). Functionals of the Aalen-Johansen estimator, e.g., excess length-of-stay in an intermediate state, can also be computed (Allignol et al. 2011 <doi:10.1007/s00180-010-0200-x>).
Author: Arthur Allignol
Maintainer: ORPHANED

Diff between etm versions 1.0.5 dated 2019-05-28 and 1.0.5.1 dated 2020-01-29

 DESCRIPTION               |   11 +++++++----
 MD5                       |    6 +++---
 tests/tests.etm.R         |    2 +-
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 4 files changed, 24 insertions(+), 23 deletions(-)

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Package abcrlda updated to version 1.0.2 with previous version 1.0.1 dated 2019-11-25

Title: Asymptotically Bias-Corrected Regularized Linear Discriminant Analysis
Description: Offers methods to perform asymptotically bias-corrected regularized linear discriminant analysis (ABC_RLDA) for cost-sensitive binary classification. The bias-correction is an estimate of the bias term added to regularized discriminant analysis (RLDA) that minimizes the overall risk. The default magnitude of misclassification costs are equal and set to 0.5; however, the package also offers the options to set them to some predetermined values or, alternatively, take them as hyperparameters to tune. A. Zollanvari, M. Abdirash, A. Dadlani and B. Abibullaev (2019) <doi:10.1109/LSP.2019.2918485>.
Author: Dmitriy Fedorov [aut, cre], Amin Zollanvari [aut], Aresh Dadlani [aut], Berdakh Abibullaev [aut]
Maintainer: Dmitriy Fedorov <dmitriy.fedorov@nu.edu.kz>

Diff between abcrlda versions 1.0.1 dated 2019-11-25 and 1.0.2 dated 2020-01-29

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Package tensorBSS (with last version 0.3.5) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2019-03-21 0.3.5
2018-03-01 0.3.4
2017-10-06 0.3.3
2017-08-22 0.3.1
2017-05-18 0.3
2016-08-25 0.2
2016-04-18 0.1

Permanent link
Package SMM (with last version 1.0.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2017-09-08 1.0.1
2017-07-22 1.0

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