Fri, 29 Jan 2021

Package Seurat updated to version 4.0.0 with previous version 3.2.3 dated 2020-12-15

Title: Tools for Single Cell Genomics
Description: A toolkit for quality control, analysis, and exploration of single cell RNA sequencing data. 'Seurat' aims to enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031>, and Hao, Hao, et al (2020) <doi:10.1101/2020.10.12.335331> for more details.
Author: Andrew Butler [ctb] (<https://orcid.org/0000-0003-3608-0463>), Saket Choudhary [ctb] (<https://orcid.org/0000-0001-5202-7633>), Charlotte Darby [ctb] (<https://orcid.org/0000-0003-2195-5300>), Jeff Farrell [ctb], Christoph Hafemeister [ctb] (<https://orcid.org/0000-0001-6365-8254>), Yuhan Hao [ctb] (<https://orcid.org/0000-0002-1810-0822>), Paul Hoffman [aut, cre] (<https://orcid.org/0000-0002-7693-8957>), Jaison Jain [ctb] (<https://orcid.org/0000-0002-9478-5018>), Efthymia Papalexi [ctb] (<https://orcid.org/0000-0001-5898-694X>), Patrick Roelli [ctb], Rahul Satija [ctb] (<https://orcid.org/0000-0001-9448-8833>), Karthik Shekhar [ctb], Avi Srivastava [ctb] (<https://orcid.org/0000-0001-9798-2079>), Tim Stuart [ctb] (<https://orcid.org/0000-0002-3044-0897>), Kristof Torkenczy [ctb] (<https://orcid.org/0000-0002-4869-7957>), Shiwei Zheng [ctb] (<https://orcid.org/0000-0001-6682-6743>), Satija Lab and Collaborators [fnd]
Maintainer: Paul Hoffman <nygcSatijalab@nygenome.org>

Diff between Seurat versions 3.2.3 dated 2020-12-15 and 4.0.0 dated 2021-01-29

 Seurat-3.2.3/Seurat/data/pbmc_small.rda                           |only
 Seurat-3.2.3/Seurat/man/ALRAChooseKPlot.Rd                        |only
 Seurat-3.2.3/Seurat/man/AddMetaData.Rd                            |only
 Seurat-3.2.3/Seurat/man/Assays.Rd                                 |only
 Seurat-3.2.3/Seurat/man/CellsByIdentities.Rd                      |only
 Seurat-3.2.3/Seurat/man/Command.Rd                                |only
 Seurat-3.2.3/Seurat/man/CreateAssayObject.Rd                      |only
 Seurat-3.2.3/Seurat/man/CreateDimReducObject.Rd                   |only
 Seurat-3.2.3/Seurat/man/CreateGeneActivityMatrix.Rd               |only
 Seurat-3.2.3/Seurat/man/CreateSeuratObject.Rd                     |only
 Seurat-3.2.3/Seurat/man/DefaultAssay.Rd                           |only
 Seurat-3.2.3/Seurat/man/Distances.Rd                              |only
 Seurat-3.2.3/Seurat/man/Embeddings.Rd                             |only
 Seurat-3.2.3/Seurat/man/ExportToCellbrowser.Rd                    |only
 Seurat-3.2.3/Seurat/man/FetchData.Rd                              |only
 Seurat-3.2.3/Seurat/man/GetAssayData.Rd                           |only
 Seurat-3.2.3/Seurat/man/HVFInfo.Rd                                |only
 Seurat-3.2.3/Seurat/man/Idents.Rd                                 |only
 Seurat-3.2.3/Seurat/man/Images.Rd                                 |only
 Seurat-3.2.3/Seurat/man/Index.Rd                                  |only
 Seurat-3.2.3/Seurat/man/Indices.Rd                                |only
 Seurat-3.2.3/Seurat/man/IsGlobal.Rd                               |only
 Seurat-3.2.3/Seurat/man/JS.Rd                                     |only
 Seurat-3.2.3/Seurat/man/Key.Rd                                    |only
 Seurat-3.2.3/Seurat/man/Loadings.Rd                               |only
 Seurat-3.2.3/Seurat/man/LogSeuratCommand.Rd                       |only
 Seurat-3.2.3/Seurat/man/Misc.Rd                                   |only
 Seurat-3.2.3/Seurat/man/Neighbors.Rd                              |only
 Seurat-3.2.3/Seurat/man/OldWhichCells.Rd                          |only
 Seurat-3.2.3/Seurat/man/Project.Rd                                |only
 Seurat-3.2.3/Seurat/man/ReadAlevin.Rd                             |only
 Seurat-3.2.3/Seurat/man/ReadAlevinCsv.Rd                          |only
 Seurat-3.2.3/Seurat/man/Reductions.Rd                             |only
 Seurat-3.2.3/Seurat/man/RenameAssays.Rd                           |only
 Seurat-3.2.3/Seurat/man/RowMergeSparseMatrices.Rd                 |only
 Seurat-3.2.3/Seurat/man/RunALRA.Rd                                |only
 Seurat-3.2.3/Seurat/man/RunLSI.Rd                                 |only
 Seurat-3.2.3/Seurat/man/SVFInfo.Rd                                |only
 Seurat-3.2.3/Seurat/man/SetAssayData.Rd                           |only
 Seurat-3.2.3/Seurat/man/SpatiallyVariableFeatures.Rd              |only
 Seurat-3.2.3/Seurat/man/Stdev.Rd                                  |only
 Seurat-3.2.3/Seurat/man/StopCellbrowser.Rd                        |only
 Seurat-3.2.3/Seurat/man/SubsetData.Rd                             |only
 Seurat-3.2.3/Seurat/man/TF.IDF.Rd                                 |only
 Seurat-3.2.3/Seurat/man/Tool.Rd                                   |only
 Seurat-3.2.3/Seurat/man/UpdateSeuratObject.Rd                     |only
 Seurat-3.2.3/Seurat/man/VariableFeatures.Rd                       |only
 Seurat-3.2.3/Seurat/man/WhichCells.Rd                             |only
 Seurat-3.2.3/Seurat/man/as.Graph.Rd                               |only
 Seurat-3.2.3/Seurat/man/as.Neighbor.Rd                            |only
 Seurat-3.2.3/Seurat/man/as.list.SeuratCommand.Rd                  |only
 Seurat-3.2.3/Seurat/man/as.loom.Rd                                |only
 Seurat-3.2.3/Seurat/man/h5ad.Rd                                   |only
 Seurat-3.2.3/Seurat/man/merge.Seurat.Rd                           |only
 Seurat-3.2.3/Seurat/man/oldseurat-class.Rd                        |only
 Seurat-3.2.3/Seurat/man/pbmc_small.Rd                             |only
 Seurat-3.2.3/Seurat/man/print.DimReduc.Rd                         |only
 Seurat-3.2.3/Seurat/man/subset.Seurat.Rd                          |only
 Seurat-4.0.0/Seurat/DESCRIPTION                                   |   79 
 Seurat-4.0.0/Seurat/MD5                                           |  433 
 Seurat-4.0.0/Seurat/NAMESPACE                                     |  312 
 Seurat-4.0.0/Seurat/NEWS.md                                       |  171 
 Seurat-4.0.0/Seurat/R/RcppExports.R                               |   20 
 Seurat-4.0.0/Seurat/R/clustering.R                                |  993 +
 Seurat-4.0.0/Seurat/R/convenience.R                               |    6 
 Seurat-4.0.0/Seurat/R/data.R                                      |   28 
 Seurat-4.0.0/Seurat/R/differential_expression.R                   |  896 -
 Seurat-4.0.0/Seurat/R/dimensional_reduction.R                     |  513 
 Seurat-4.0.0/Seurat/R/generics.R                                  | 1077 -
 Seurat-4.0.0/Seurat/R/integration.R                               | 2750 ++-
 Seurat-4.0.0/Seurat/R/mixscape.R                                  |only
 Seurat-4.0.0/Seurat/R/objects.R                                   | 7416 +---------
 Seurat-4.0.0/Seurat/R/preprocessing.R                             | 1164 -
 Seurat-4.0.0/Seurat/R/reexports.R                                 |only
 Seurat-4.0.0/Seurat/R/tree.R                                      |    5 
 Seurat-4.0.0/Seurat/R/utilities.R                                 |  970 -
 Seurat-4.0.0/Seurat/R/visualization.R                             |  378 
 Seurat-4.0.0/Seurat/R/zzz.R                                       |   30 
 Seurat-4.0.0/Seurat/README.md                                     |   94 
 Seurat-4.0.0/Seurat/build                                         |only
 Seurat-4.0.0/Seurat/inst/CITATION                                 |   68 
 Seurat-4.0.0/Seurat/man/AddModuleScore.Rd                         |    2 
 Seurat-4.0.0/Seurat/man/AggregateExpression.Rd                    |only
 Seurat-4.0.0/Seurat/man/AnchorSet-class.Rd                        |    3 
 Seurat-4.0.0/Seurat/man/AnnotateAnchors.Rd                        |only
 Seurat-4.0.0/Seurat/man/Assay-class.Rd                            |   33 
 Seurat-4.0.0/Seurat/man/AugmentPlot.Rd                            |    2 
 Seurat-4.0.0/Seurat/man/AverageExpression.Rd                      |   30 
 Seurat-4.0.0/Seurat/man/BGTextColor.Rd                            |    1 
 Seurat-4.0.0/Seurat/man/BarcodeInflectionsPlot.Rd                 |    2 
 Seurat-4.0.0/Seurat/man/BuildClusterTree.Rd                       |    5 
 Seurat-4.0.0/Seurat/man/CalcPerturbSig.Rd                         |only
 Seurat-4.0.0/Seurat/man/CalculateBarcodeInflections.Rd            |    2 
 Seurat-4.0.0/Seurat/man/CaseMatch.Rd                              |    2 
 Seurat-4.0.0/Seurat/man/CellCycleScoring.Rd                       |    2 
 Seurat-4.0.0/Seurat/man/CellScatter.Rd                            |    7 
 Seurat-4.0.0/Seurat/man/CellSelector.Rd                           |    2 
 Seurat-4.0.0/Seurat/man/Cells.Rd                                  |   34 
 Seurat-4.0.0/Seurat/man/CellsByImage.Rd                           |    1 
 Seurat-4.0.0/Seurat/man/CollapseEmbeddingOutliers.Rd              |    2 
 Seurat-4.0.0/Seurat/man/CollapseSpeciesExpressionMatrix.Rd        |    1 
 Seurat-4.0.0/Seurat/man/ColorDimSplit.Rd                          |    6 
 Seurat-4.0.0/Seurat/man/CombinePlots.Rd                           |    2 
 Seurat-4.0.0/Seurat/man/CreateSCTAssayObject.Rd                   |only
 Seurat-4.0.0/Seurat/man/CustomDistance.Rd                         |    2 
 Seurat-4.0.0/Seurat/man/CustomPalette.Rd                          |    1 
 Seurat-4.0.0/Seurat/man/DEenrichRPlot.Rd                          |only
 Seurat-4.0.0/Seurat/man/DietSeurat.Rd                             |    1 
 Seurat-4.0.0/Seurat/man/DimHeatmap.Rd                             |    3 
 Seurat-4.0.0/Seurat/man/DimPlot.Rd                                |    7 
 Seurat-4.0.0/Seurat/man/DimReduc-class.Rd                         |   39 
 Seurat-4.0.0/Seurat/man/DiscretePalette.Rd                        |    1 
 Seurat-4.0.0/Seurat/man/DoHeatmap.Rd                              |    2 
 Seurat-4.0.0/Seurat/man/DotPlot.Rd                                |    2 
 Seurat-4.0.0/Seurat/man/ElbowPlot.Rd                              |    2 
 Seurat-4.0.0/Seurat/man/ExpMean.Rd                                |    1 
 Seurat-4.0.0/Seurat/man/ExpSD.Rd                                  |    1 
 Seurat-4.0.0/Seurat/man/ExpVar.Rd                                 |    1 
 Seurat-4.0.0/Seurat/man/FastRowScale.Rd                           |    1 
 Seurat-4.0.0/Seurat/man/FeaturePlot.Rd                            |    6 
 Seurat-4.0.0/Seurat/man/FeatureScatter.Rd                         |   12 
 Seurat-4.0.0/Seurat/man/FilterSlideSeq.Rd                         |    1 
 Seurat-4.0.0/Seurat/man/FindAllMarkers.Rd                         |   15 
 Seurat-4.0.0/Seurat/man/FindClusters.Rd                           |    1 
 Seurat-4.0.0/Seurat/man/FindConservedMarkers.Rd                   |    2 
 Seurat-4.0.0/Seurat/man/FindIntegrationAnchors.Rd                 |   13 
 Seurat-4.0.0/Seurat/man/FindMarkers.Rd                            |   73 
 Seurat-4.0.0/Seurat/man/FindMultiModalNeighbors.Rd                |only
 Seurat-4.0.0/Seurat/man/FindNeighbors.Rd                          |   87 
 Seurat-4.0.0/Seurat/man/FindSpatiallyVariableFeatures.Rd          |    1 
 Seurat-4.0.0/Seurat/man/FindSubCluster.Rd                         |only
 Seurat-4.0.0/Seurat/man/FindTransferAnchors.Rd                    |   47 
 Seurat-4.0.0/Seurat/man/FindVariableFeatures.Rd                   |    4 
 Seurat-4.0.0/Seurat/man/FoldChange.Rd                             |only
 Seurat-4.0.0/Seurat/man/GetAssay.Rd                               |    2 
 Seurat-4.0.0/Seurat/man/GetImage.Rd                               |   40 
 Seurat-4.0.0/Seurat/man/GetIntegrationData.Rd                     |    5 
 Seurat-4.0.0/Seurat/man/GetResidual.Rd                            |   24 
 Seurat-4.0.0/Seurat/man/GetTissueCoordinates.Rd                   |   26 
 Seurat-4.0.0/Seurat/man/GetTransferPredictions.Rd                 |    1 
 Seurat-4.0.0/Seurat/man/Graph-class.Rd                            |   14 
 Seurat-4.0.0/Seurat/man/GroupCorrelation.Rd                       |    1 
 Seurat-4.0.0/Seurat/man/GroupCorrelationPlot.Rd                   |    1 
 Seurat-4.0.0/Seurat/man/HTODemux.Rd                               |    1 
 Seurat-4.0.0/Seurat/man/HTOHeatmap.Rd                             |    1 
 Seurat-4.0.0/Seurat/man/HoverLocator.Rd                           |    2 
 Seurat-4.0.0/Seurat/man/IFeaturePlot.Rd                           |    1 
 Seurat-4.0.0/Seurat/man/ISpatialDimPlot.Rd                        |    1 
 Seurat-4.0.0/Seurat/man/ISpatialFeaturePlot.Rd                    |    1 
 Seurat-4.0.0/Seurat/man/IntegrateData.Rd                          |   11 
 Seurat-4.0.0/Seurat/man/IntegrateEmbeddings.Rd                    |only
 Seurat-4.0.0/Seurat/man/IntegrationAnchorSet-class.Rd             |only
 Seurat-4.0.0/Seurat/man/IntegrationData-class.Rd                  |    1 
 Seurat-4.0.0/Seurat/man/JackStraw.Rd                              |    2 
 Seurat-4.0.0/Seurat/man/JackStrawData-class.Rd                    |   21 
 Seurat-4.0.0/Seurat/man/JackStrawPlot.Rd                          |    2 
 Seurat-4.0.0/Seurat/man/L2CCA.Rd                                  |    1 
 Seurat-4.0.0/Seurat/man/L2Dim.Rd                                  |    1 
 Seurat-4.0.0/Seurat/man/LabelClusters.Rd                          |    2 
 Seurat-4.0.0/Seurat/man/LabelPoints.Rd                            |    2 
 Seurat-4.0.0/Seurat/man/LinkedPlots.Rd                            |    1 
 Seurat-4.0.0/Seurat/man/Load10X_Spatial.Rd                        |    1 
 Seurat-4.0.0/Seurat/man/LoadAnnoyIndex.Rd                         |    1 
 Seurat-4.0.0/Seurat/man/LoadSTARmap.Rd                            |    1 
 Seurat-4.0.0/Seurat/man/LocalStruct.Rd                            |    1 
 Seurat-4.0.0/Seurat/man/LogNormalize.Rd                           |    1 
 Seurat-4.0.0/Seurat/man/LogVMR.Rd                                 |    1 
 Seurat-4.0.0/Seurat/man/MULTIseqDemux.Rd                          |    1 
 Seurat-4.0.0/Seurat/man/MapQuery.Rd                               |only
 Seurat-4.0.0/Seurat/man/MappingScore.Rd                           |only
 Seurat-4.0.0/Seurat/man/MetaFeature.Rd                            |    2 
 Seurat-4.0.0/Seurat/man/MinMax.Rd                                 |    1 
 Seurat-4.0.0/Seurat/man/MixingMetric.Rd                           |    1 
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 Seurat-4.0.0/Seurat/man/Neighbor-class.Rd                         |   30 
 Seurat-4.0.0/Seurat/man/NormalizeData.Rd                          |    2 
 Seurat-4.0.0/Seurat/man/PCASigGenes.Rd                            |    2 
 Seurat-4.0.0/Seurat/man/PercentageFeatureSet.Rd                   |    2 
 Seurat-4.0.0/Seurat/man/PlotClusterTree.Rd                        |    2 
 Seurat-4.0.0/Seurat/man/PlotPerturbScore.Rd                       |only
 Seurat-4.0.0/Seurat/man/PolyDimPlot.Rd                            |    1 
 Seurat-4.0.0/Seurat/man/PolyFeaturePlot.Rd                        |    1 
 Seurat-4.0.0/Seurat/man/PredictAssay.Rd                           |only
 Seurat-4.0.0/Seurat/man/PrepLDA.Rd                                |only
 Seurat-4.0.0/Seurat/man/PrepSCTIntegration.Rd                     |    1 
 Seurat-4.0.0/Seurat/man/ProjectDim.Rd                             |    2 
 Seurat-4.0.0/Seurat/man/ProjectUMAP.Rd                            |only
 Seurat-4.0.0/Seurat/man/Radius.Rd                                 |   18 
 Seurat-4.0.0/Seurat/man/Read10X.Rd                                |    4 
 Seurat-4.0.0/Seurat/man/Read10X_Image.Rd                          |    1 
 Seurat-4.0.0/Seurat/man/Read10X_h5.Rd                             |    1 
 Seurat-4.0.0/Seurat/man/ReadSlideSeq.Rd                           |    1 
 Seurat-4.0.0/Seurat/man/RegroupIdents.Rd                          |    2 
 Seurat-4.0.0/Seurat/man/RelativeCounts.Rd                         |    1 
 Seurat-4.0.0/Seurat/man/RenameCells.Rd                            |   73 
 Seurat-4.0.0/Seurat/man/RidgePlot.Rd                              |    2 
 Seurat-4.0.0/Seurat/man/RunCCA.Rd                                 |    2 
 Seurat-4.0.0/Seurat/man/RunICA.Rd                                 |    1 
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 Seurat-4.0.0/Seurat/man/RunMoransI.Rd                             |    1 
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 Seurat-4.0.0/Seurat/man/RunTSNE.Rd                                |    1 
 Seurat-4.0.0/Seurat/man/RunUMAP.Rd                                |    5 
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 Seurat-4.0.0/Seurat/man/SCTResults.Rd                             |only
 Seurat-4.0.0/Seurat/man/SCTransform.Rd                            |   22 
 Seurat-4.0.0/Seurat/man/STARmap-class.Rd                          |   14 
 Seurat-4.0.0/Seurat/man/SampleUMI.Rd                              |    2 
 Seurat-4.0.0/Seurat/man/SaveAnnoyIndex.Rd                         |    1 
 Seurat-4.0.0/Seurat/man/ScaleData.Rd                              |    1 
 Seurat-4.0.0/Seurat/man/ScaleFactors.Rd                           |    3 
 Seurat-4.0.0/Seurat/man/ScoreJackStraw.Rd                         |    1 
 Seurat-4.0.0/Seurat/man/SelectIntegrationFeatures.Rd              |    1 
 Seurat-4.0.0/Seurat/man/SetIntegrationData.Rd                     |    5 
 Seurat-4.0.0/Seurat/man/Seurat-class.Rd                           |   47 
 Seurat-4.0.0/Seurat/man/Seurat-package.Rd                         |   43 
 Seurat-4.0.0/Seurat/man/SeuratCommand-class.Rd                    |   23 
 Seurat-4.0.0/Seurat/man/SeuratTheme.Rd                            |    1 
 Seurat-4.0.0/Seurat/man/SlideSeq-class.Rd                         |   12 
 Seurat-4.0.0/Seurat/man/SpatialImage-class.Rd                     |   93 
 Seurat-4.0.0/Seurat/man/SpatialPlot.Rd                            |    2 
 Seurat-4.0.0/Seurat/man/SplitObject.Rd                            |    2 
 Seurat-4.0.0/Seurat/man/SubsetByBarcodeInflections.Rd             |    2 
 Seurat-4.0.0/Seurat/man/TopCells.Rd                               |    2 
 Seurat-4.0.0/Seurat/man/TopFeatures.Rd                            |    2 
 Seurat-4.0.0/Seurat/man/TopNeighbors.Rd                           |    1 
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 Seurat-4.0.0/Seurat/man/TransferData.Rd                           |   57 
 Seurat-4.0.0/Seurat/man/UpdateSCTAssays.Rd                        |only
 Seurat-4.0.0/Seurat/man/UpdateSymbolList.Rd                       |    1 
 Seurat-4.0.0/Seurat/man/VariableFeaturePlot.Rd                    |   25 
 Seurat-4.0.0/Seurat/man/VisiumV1-class.Rd                         |    1 
 Seurat-4.0.0/Seurat/man/VizDimLoadings.Rd                         |    2 
 Seurat-4.0.0/Seurat/man/VlnPlot.Rd                                |    4 
 Seurat-4.0.0/Seurat/man/as.CellDataSet.Rd                         |    1 
 Seurat-4.0.0/Seurat/man/as.Seurat.Rd                              |   78 
 Seurat-4.0.0/Seurat/man/as.SingleCellExperiment.Rd                |    1 
 Seurat-4.0.0/Seurat/man/as.sparse.Rd                              |   27 
 Seurat-4.0.0/Seurat/man/cc.genes.Rd                               |    1 
 Seurat-4.0.0/Seurat/man/cc.genes.updated.2019.Rd                  |    1 
 Seurat-4.0.0/Seurat/man/contrast-theory.Rd                        |    1 
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 Seurat-4.0.0/Seurat/src/RcppExports.cpp                           |   69 
 Seurat-4.0.0/Seurat/src/data_manipulation.cpp                     |   51 
 Seurat-4.0.0/Seurat/src/data_manipulation.h                       |   10 
 Seurat-4.0.0/Seurat/src/fast_NN_dist.cpp                          |only
 Seurat-4.0.0/Seurat/src/integration.cpp                           |   88 
 Seurat-4.0.0/Seurat/src/integration.h                             |   20 
 Seurat-4.0.0/Seurat/src/snn.cpp                                   |   57 
 Seurat-4.0.0/Seurat/tests/testthat/test_data_manipulation.R       |   14 
 Seurat-4.0.0/Seurat/tests/testthat/test_differential_expression.R |   64 
 Seurat-4.0.0/Seurat/tests/testthat/test_integratedata.R           |only
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 Seurat-4.0.0/Seurat/tests/testthat/test_objects.R                 |    4 
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More information about Seurat at CRAN
Permanent link

New package ricu with initial version 0.1.3
Package: ricu
Title: Intensive Care Unit Data with R
Description: Focused on (but not exclusive to) data sets hosted on PhysioNet (<https://physionet.org>), 'ricu' provides utilities for download, setup and access of intensive care unit (ICU) data sets. In addition to functions for running arbitrary queries against available data sets, a system for defining clinical concepts and encoding their representations in tabular ICU data is presented.
Version: 0.1.3
Authors@R: c( person(given = "Nicolas", family = "Bennett", role = c("aut", "cre"), email = "nicolas.bennett@stat.math.ethz.ch"), person(given = "Drago", family = "Plecko", role = c("aut"), email = "drago.plecko@stat.math.ethz.ch"), person(given = "Ida-Fong", family = "Ukor", role = c("aut"), email = "dr.ukor@gmail.com") )
License: GPL-3
Encoding: UTF-8
Language: en-US
LazyData: true
URL: https://github.com/septic-tank/ricu, https://physionet.org
BugReports: https://github.com/septic-tank/ricu/issues
Depends: R (>= 3.4.0)
Imports: data.table, curl, assertthat, fst, readr, jsonlite, methods, stats, prt (>= 0.1.2), tibble, backports, rlang, vctrs, cli, glue, fansi, utils
Suggests: openssl, xml2, covr, testthat (>= 2.1.0), withr, pkgload, mimic.demo, eicu.demo, progress, knitr, rmarkdown, ggplot2
RoxygenNote: 7.1.1
Additional_repositories: https://septic-tank.github.io/physionet-demo
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-01-29 17:06:03 UTC; nbennett
Author: Nicolas Bennett [aut, cre], Drago Plecko [aut], Ida-Fong Ukor [aut]
Maintainer: Nicolas Bennett <nicolas.bennett@stat.math.ethz.ch>
Repository: CRAN
Date/Publication: 2021-01-29 23:40:02 UTC

More information about ricu at CRAN
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Package matrixStats updated to version 0.58.0 with previous version 0.57.0 dated 2020-09-25

Title: Functions that Apply to Rows and Columns of Matrices (and to Vectors)
Description: High-performing functions operating on rows and columns of matrices, e.g. col / rowMedians(), col / rowRanks(), and col / rowSds(). Functions optimized per data type and for subsetted calculations such that both memory usage and processing time is minimized. There are also optimized vector-based methods, e.g. binMeans(), madDiff() and weightedMedian().
Author: Henrik Bengtsson [aut, cre, cph], Constantin Ahlmann-Eltze [ctb], Hector Corrada Bravo [ctb], Robert Gentleman [ctb], Jan Gleixner [ctb], Peter Hickey [ctb], Ola Hossjer [ctb], Harris Jaffee [ctb], Dongcan Jiang [ctb], Peter Langfelder [ctb], Brian Montgomery [ctb], Hugh Parsonage [ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between matrixStats versions 0.57.0 dated 2020-09-25 and 0.58.0 dated 2021-01-29

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Package SuperRanker updated to version 1.2.0 with previous version 1.1.1 dated 2018-10-23

Title: Sequential Rank Agreement
Description: Tools for analysing the agreement of two or more rankings of the same items. Examples are importance rankings of predictor variables and risk predictions of subjects. Benchmarks for agreement are computed based on random permutation and bootstrap.
Author: Claus Thorn Ekstrøm and Thomas Alexander Gerds
Maintainer: Claus Thorn Ekstrøm <ekstrom@sund.ku.dk>

Diff between SuperRanker versions 1.1.1 dated 2018-10-23 and 1.2.0 dated 2021-01-29

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Package fredr updated to version 2.1.0 with previous version 2.0.0 dated 2020-11-16

Title: An R Client for the 'FRED' API
Description: An R client for the 'Federal Reserve Economic Data' ('FRED') API <https://research.stlouisfed.org/docs/api/>. Functions to retrieve economic time series and other data from 'FRED'.
Author: Sam Boysel [aut, cre], Davis Vaughan [aut]
Maintainer: Sam Boysel <sboysel@gmail.com>

Diff between fredr versions 2.0.0 dated 2020-11-16 and 2.1.0 dated 2021-01-29

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Package Bclim (with last version 3.1.2) was removed from CRAN

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

2016-12-24 3.1.2
2016-06-13 3.1.0
2014-04-18 2.3.1
2013-01-23 2.2
2012-06-22 2.1

Permanent link
New package flippant with initial version 1.5.2
Package: flippant
Title: Dithionite Scramblase Assay Analysis
Description: The lipid scrambling activity of protein extracts and purified scramblases is often determined using a fluorescence-based assay involving many manual steps. flippant offers an integrated solution for the analysis and publication-grade graphical presentation of dithionite scramblase assays, as well as a platform for review, dissemination and extension of the strategies it employs. The package's name derives from a play on the fact that lipid scrambling is also sometimes referred to as 'flipping'. The package is originally published as Cotton, R.J., Ploier, B., Goren, M.A., Menon, A.K., and Graumann, J. (2017). flippant–An R package for the automated analysis of fluorescence-based scramblase assays. BMC Bioinformatics 18, 146. <DOI: 10.1186/s12859-017-1542-y>.
Version: 1.5.2
Author: Johannes Graumann [cre, aut], Richard Cotton [ctb]
Maintainer: Johannes Graumann <johannes.graumann@mpi-bn.mpg.de>
Authors@R: c(person("Johannes", "Graumann", email = "johannes.graumann@mpi-bn.mpg.de", role = c("cre", "aut")), person("Richard","Cotton", email = "richierocks@gmail.com", role = c("ctb")))
Depends: R (>= 3.5.0), ggplot2 (>= 2.2.1)
Suggests: bookdown, devtools, microbenchmark, multipanelfigure, pander, roxygen2, tools
Imports: assertive.base (>= 0.0-7), assertive.files (>= 0.0-2), assertive.numbers (>= 0.0-2), assertive.properties (>= 0.0-4), assertive.strings (>= 0.0-3), assertive.types (>= 0.0-3), data.table (>= 1.11.4), magrittr (>= 1.5), minpack.lm (>= 1.2-1), plyr (>= 1.8.4), pracma (>= 2.3.3), stringi (>= 1.2.3), utils, withr (>= 2.1.2)
License: GPL (>= 3)
LazyData: true
RoxygenNote: 7.1.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-01-27 13:51:23 UTC; rstudio
Repository: CRAN
Date/Publication: 2021-01-29 16:20:02 UTC

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Package RIA updated to version 1.5.0 with previous version 1.4.3 dated 2021-01-08

Title: Radiomics Image Analysis Toolbox for Medial Images
Description: Radiomics image analysis toolbox for 2D and 3D radiological images. RIA supports DICOM, NIfTI and nrrd file formats. RIA calculates first-order, gray level co-occurrence matrix, gray level run length matrix and geometry-based statistics. Almost all calculations are done using vectorized formulas to optimize run speeds. Calculation of several thousands of parameters only takes minutes on a single core of a conventional PC.
Author: Marton Kolossvary [aut, cre]
Maintainer: Marton Kolossvary <marton.kolossvary@gmail.com>

Diff between RIA versions 1.4.3 dated 2021-01-08 and 1.5.0 dated 2021-01-29

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New package qsub with initial version 1.1.1
Package: qsub
Title: Running Commands Remotely on 'Gridengine' Clusters
Version: 1.1.1
Authors@R: c( person( "Robrecht", "Cannoodt", email = "rcannood@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-3641-729X", github = "rcannood") ), person( "Wouter", "Saelens", email = "wouter.saelens@ugent.be", role = c("aut"), comment = c(ORCID = "0000-0002-7114-6248", github = "zouter") ) )
Description: Run lapply() calls in parallel by submitting them to 'gridengine' clusters using the 'qsub' command.
Depends: R (>= 3.0)
Imports: dplyr, glue, methods, pbapply, processx, purrr, random, readr, ssh, stringr, tidyr, tools, utils
Suggests: testthat
URL: https://github.com/rcannood/qsub
BugReports: https://github.com/rcannood/qsub/issues
RoxygenNote: 7.1.1
Encoding: UTF-8
License: GPL-3
LazyData: true
NeedsCompilation: no
Packaged: 2021-01-29 15:12:01 UTC; rcannood
Author: Robrecht Cannoodt [aut, cre] (<https://orcid.org/0000-0003-3641-729X>, rcannood), Wouter Saelens [aut] (<https://orcid.org/0000-0002-7114-6248>, zouter)
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>
Repository: CRAN
Date/Publication: 2021-01-29 16:00:03 UTC

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Package pkgfilecache updated to version 0.1.3 with previous version 0.1.2 dated 2019-11-29

Title: Download and Manage Optional Package Data
Description: Manage optional data for your package. The data can be hosted anywhere, and you have to give a Uniform Resource Locator (URL) for each file. File integrity checks are supported. This is useful for package authors who need to ship more than the 5 Megabyte of data currently allowed by the the Comprehensive R Archive Network (CRAN).
Author: Tim Schäfer [aut, cre] (<https://orcid.org/0000-0002-3683-8070>)
Maintainer: Tim Schäfer <ts+code@rcmd.org>

Diff between pkgfilecache versions 0.1.2 dated 2019-11-29 and 0.1.3 dated 2021-01-29

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Package memery updated to version 0.5.4 with previous version 0.5.3 dated 2021-01-25

Title: Internet Memes for Data Analysts
Description: Generates internet memes that optionally include a superimposed inset plot and other atypical features, combining the visual impact of an attention-grabbing meme with graphic results of data analysis. The package differs from related packages that focus on imitating and reproducing standard memes. Some packages do this by interfacing with online meme generators whereas others achieve this natively. This package takes the latter approach. It does not interface with online meme generators or require any authentication with external websites. It reads images directly from local files or via URL and meme generation is done by the package. While this is similar to the 'meme' package available on CRAN, it differs in that the focus is on allowing for non-standard meme layouts and hybrids of memes mixed with graphs. While this package can be used to make basic memes like an online meme generator would produce, it caters primarily to hybrid graph-meme plots where the meme presentation can be seen as a backdrop highlighting foreground graphs of data analysis results. The package also provides support for an arbitrary number of meme text labels with arbitrary size, position and other attributes rather than restricting to the standard top and/or bottom text placement. This is useful for proper aesthetic interleaving of plots of data between meme image backgrounds and overlain text labels. The package offers a selection of templates for graph placement and appearance with respect to the underlying meme. Graph templates also permit additional template-specific customization. Animated gif support is provided but this is optional and functional only if the 'magick' package is installed. 'magick' is not required unless gif functionality is desired.
Author: Matthew Leonawicz [aut, cre]
Maintainer: Matthew Leonawicz <mfleonawicz@gmail.com>

Diff between memery versions 0.5.3 dated 2021-01-25 and 0.5.4 dated 2021-01-29

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New package landmap with initial version 0.0.7
Package: landmap
Title: Automated Spatial Prediction using Ensemble Machine Learning
Version: 0.0.7
Authors@R: person("Tomislav", "Hengl", email = "tom.hengl@opengeohub.org", role = c("aut", "cre"))
Description: Functions and tools for spatial interpolation and/or prediction of environmental variables (points to grids) based on using Ensemble Machine Learning with geographical distances. Package also provides access to Global Environmental Layers (<https://www.OpenLandMap.org>) produced by the OpenGeoHub.org foundation and collaborators. Some functions have been migrated and adopted from the Global Soil Information Facilities package.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/envirometrix/landmap/
BugReports: https://github.com/envirometrix/landmap/issues/
Imports: methods, utils, parallel, matrixStats, ranger, glmnet, mlr, parallelMap, sp, rgdal, gdalUtils, raster
Suggests: geoR, ParamHelpers, mda, psych, spdep, fossil, xgboost, plyr, kernlab, nnet, rjson, spatstat, maptools, maxlike, RCurl, aqp, deepnet, RSAGA, soiltexture, snowfall, plotKML, boot
RoxygenNote: 7.1.1
SystemRequirements: C++11, GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>= 4.8.0)
NeedsCompilation: no
Packaged: 2021-01-29 11:57:00 UTC; tomislav
Author: Tomislav Hengl [aut, cre]
Maintainer: Tomislav Hengl <tom.hengl@opengeohub.org>
Repository: CRAN
Date/Publication: 2021-01-29 16:00:06 UTC

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Package furrr updated to version 0.2.2 with previous version 0.2.1 dated 2020-10-21

Title: Apply Mapping Functions in Parallel using Futures
Description: Implementations of the family of map() functions from 'purrr' that can be resolved using any 'future'-supported backend, e.g. parallel on the local machine or distributed on a compute cluster.
Author: Davis Vaughan [aut, cre], Matt Dancho [aut], RStudio [cph]
Maintainer: Davis Vaughan <davis@rstudio.com>

Diff between furrr versions 0.2.1 dated 2020-10-21 and 0.2.2 dated 2021-01-29

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Package diseq updated to version 0.1.2 with previous version 0.1.1 dated 2021-01-26

Title: Estimation Methods for Markets in Equilibrium and Disequilibrium
Description: Provides estimation methods for markets in equilibrium and disequilibrium. Specifically, it supports the estimation of an equilibrium and four disequilibrium models with both correlated and independent shocks. It also provides post-estimation analysis tools, such as aggregation and marginal effects calculations. The estimation methods are based on full information maximum likelihood techniques given in Maddala and Nelson (1974) <doi:10.2307/1914215>. They are implemented using the analytic derivative expressions calculated in Karapanagiotis (2020) <doi:10.2139/ssrn.3525622>. The equilibrium estimation constitutes a special case of a system of simultaneous equations. The disequilibrium models, instead, replace the market clearing condition with a short side rule and allow for different specifications of price dynamics.
Author: Pantelis Karapanagiotis [aut, cre] (<https://orcid.org/0000-0001-9871-1908>)
Maintainer: Pantelis Karapanagiotis <pikappa.devel@gmail.com>

Diff between diseq versions 0.1.1 dated 2021-01-26 and 0.1.2 dated 2021-01-29

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Package rgrass7 updated to version 0.2-5 with previous version 0.2-4 dated 2021-01-07

Title: Interface Between GRASS 7 Geographical Information System and R
Description: Interpreted interface between 'GRASS' 7 geographical information system and R, based on starting R from within the 'GRASS' 'GIS' environment, or running free-standing R in a temporary 'GRASS' location; the package provides facilities for using all 'GRASS' commands from the R command line. This package may not be used for 'GRASS' 6, for which 'spgrass6' should be used.
Author: Roger Bivand [cre, aut] (<https://orcid.org/0000-0003-2392-6140>), Rainer Krug [ctb] (<https://orcid.org/0000-0002-7490-0066>), Markus Neteler [ctb] (<https://orcid.org/0000-0003-1916-1966>), Sebastian Jeworutzki [ctb] (<https://orcid.org/0000-0002-2671-5253>), Floris Vanderhaeghe [ctb] (<https://orcid.org/0000-0002-6378-6229>)
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

Diff between rgrass7 versions 0.2-4 dated 2021-01-07 and 0.2-5 dated 2021-01-29

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Package RcppDate updated to version 0.0.2 with previous version 0.0.1 dated 2020-03-24

Title: 'date' C++ Header Library for Date and Time Functionality
Description: A header-only C++ library is provided with support for dates, time zones, ISO weeks, Julian dates, and Islamic dates. 'date' offers extensive date and time functionality for the C++11, C++14 and C++17 standards and was written by Howard Hinnant and released under the MIT license. A slightly modified version has been accepted (along with 'tz.h') as part of C++20. This package regroups all header files from the upstream repository by Howard Hinnant so that other R packages can use them in their C++ code. At present, few of the types have explicit 'Rcpp' wrappers though these may be added as needed.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package heatmaply updated to version 1.2.0 with previous version 1.1.1 dated 2020-08-25

Title: Interactive Cluster Heat Maps Using 'plotly' and 'ggplot2'
Description: Create interactive cluster 'heatmaps' that can be saved as a stand- alone HTML file, embedded in 'R Markdown' documents or in a 'Shiny' app, and available in the 'RStudio' viewer pane. Hover the mouse pointer over a cell to show details or drag a rectangle to zoom. A 'heatmap' is a popular graphical method for visualizing high-dimensional data, in which a table of numbers are encoded as a grid of colored cells. The rows and columns of the matrix are ordered to highlight patterns and are often accompanied by 'dendrograms'. 'Heatmaps' are used in many fields for visualizing observations, correlations, missing values patterns, and more. Interactive 'heatmaps' allow the inspection of specific value by hovering the mouse over a cell, as well as zooming into a region of the 'heatmap' by dragging a rectangle around the relevant area. This work is based on the 'ggplot2' and 'plotly.js' engine. It produces similar 'heatmaps' to 'heatmap.2' with the advantage of speed ('plotly.js' is able to handle larger size matrix), the ability to zoom from the 'dendrogram' panes, and the placing of factor variables in the sides of the 'heatmap'.
Author: Tal Galili [aut, cre, cph] (https://www.r-statistics.com), Alan O'Callaghan [aut] (https://github.com/Alanocallaghan), Jonathan Sidi [ctb] (https://github.com/yonicd), Yoav Benjamini [ths]
Maintainer: Tal Galili <tal.galili@gmail.com>

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Package fastai updated to version 2.0.4 with previous version 2.0.3 dated 2021-01-09

Title: Interface to 'fastai'
Description: The 'fastai' <https://docs.fast.ai/index.html> library simplifies training fast and accurate neural networks using modern best practices. It is based on research in to deep learning best practices undertaken at 'fast.ai', including 'out of the box' support for vision, text, tabular, audio, time series, and collaborative filtering models.
Author: Turgut Abdullayev [ctb, cre, cph, aut]
Maintainer: Turgut Abdullayev <turqut.a.314@gmail.com>

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Package topicmodels updated to version 0.2-12 with previous version 0.2-11 dated 2020-04-19

Title: Topic Models
Description: Provides an interface to the C code for Latent Dirichlet Allocation (LDA) models and Correlated Topics Models (CTM) by David M. Blei and co-authors and the C++ code for fitting LDA models using Gibbs sampling by Xuan-Hieu Phan and co-authors.
Author: Bettina Grün [aut, cre] (<https://orcid.org/0000-0001-7265-4773>), Kurt Hornik [aut] (<https://orcid.org/0000-0003-4198-9911>), David M Blei [ctb, cph] (VEM estimation of LDA and CTM), John D Lafferty [ctb, cph] (VEM estimation of CTM), Xuan-Hieu Phan [ctb, cph] (MCMC estimation of LDA), Makoto Matsumoto [ctb, cph] (Mersenne Twister RNG), Takuji Nishimura [ctb, cph] (Mersenne Twister RNG), Shawn Cokus [ctb] (Mersenne Twister RNG)
Maintainer: Bettina Grün <Bettina.Gruen@R-project.org>

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Package pixmap updated to version 0.4-12 with previous version 0.4-11 dated 2011-07-19

Title: Bitmap Images / Pixel Maps
Description: Functions for import, export, plotting and other manipulations of bitmapped images.
Author: Roger Bivand, Friedrich Leisch and Martin Maechler
Maintainer: Friedrich Leisch <Friedrich.Leisch@R-project.org>

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Package packager updated to version 1.10.0 with previous version 1.9.0 dated 2021-01-21

Title: Create, Build and Maintain Packages
Description: Helper functions for package creation, building and maintenance. Designed to work with a build system such as 'GNU make' or package 'fakemake' to help you to conditionally work through the stages of package development (such as spell checking, linting, testing, before building and checking a package).
Author: Andreas Dominik Cullmann [aut, cre]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>

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Package mlbench updated to version 2.1-3 with previous version 2.1-1 dated 2012-07-10

Title: Machine Learning Benchmark Problems
Description: A collection of artificial and real-world machine learning benchmark problems, including, e.g., several data sets from the UCI repository.
Author: Friedrich Leisch and Evgenia Dimitriadou.
Maintainer: Friedrich Leisch <Friedrich.Leisch@R-project.org>

Diff between mlbench versions 2.1-1 dated 2012-07-10 and 2.1-3 dated 2021-01-29

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Package GPFDA updated to version 3.1.1 with previous version 3.1.0 dated 2021-01-26

Title: Gaussian Process for Functional Data Analysis
Description: Functionalities for modelling functional data with multidimensional inputs, multivariate functional data, and non-separable and/or non-stationary covariance structure of function-valued processes. In addition, there are functionalities for functional regression models where the mean function depends on scalar and/or functional covariates and the covariance structure depends on functional covariates. The development version of the package can be found on <https://github.com/gpfda/GPFDA-dev>.
Author: Jian Qing Shi, Yafeng Cheng, Evandro Konzen
Maintainer: Evandro Konzen <gpfda.r@gmail.com>

Diff between GPFDA versions 3.1.0 dated 2021-01-26 and 3.1.1 dated 2021-01-29

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New package EvidenceSynthesis with initial version 0.2.3
Package: EvidenceSynthesis
Type: Package
Title: Synthesizing Causal Evidence in a Distributed Research Network
Version: 0.2.3
Date: 2021-01-29
Authors@R: c( person("Martijn", "Schuemie", email = "schuemie@ohdsi.org", role = c("aut", "cre")), person("Marc A.", "Suchard", , "msuchard@ucla.edu", role = c("aut")), person("Observational Health Data Science and Informatics", role = c("cph")) )
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>
Description: Routines for combining causal effect estimates and study diagnostics across multiple data sites in a distributed study, without sharing patient-level data. Allows for normal and non-normal approximations of the data-site likelihood of the effect parameter.
SystemRequirements: Java version 8 or higher (https://www.java.com/)
Depends: survival, R (>= 3.5.0)
Imports: ggplot2, gridExtra, meta, EmpiricalCalibration, rJava, BeastJar, Cyclops (>= 3.1.0), HDInterval, coda, rlang, methods
Suggests: knitr, rmarkdown, testthat, sn
License: Apache License 2.0
URL: https://ohdsi.github.io/EvidenceSynthesis/, https://github.com/OHDSI/EvidenceSynthesis
BugReports: https://github.com/OHDSI/EvidenceSynthesis/issues
VignetteBuilder: knitr
RoxygenNote: 7.1.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-01-29 09:17:44 UTC; MSCHUEMI
Author: Martijn Schuemie [aut, cre], Marc A. Suchard [aut], Observational Health Data Science and Informatics [cph]
Repository: CRAN
Date/Publication: 2021-01-29 13:30:06 UTC

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New package doremi with initial version 1.0.0
Package: doremi
Type: Package
Title: Dynamics of Return to Equilibrium During Multiple Inputs
Version: 1.0.0
Authors@R: c(person("Mongin", "Denis", email = "Denis.Mongin@unige.ch", role = c("aut","cre"), comment = c(ORCID = "0000-0002-4801-8395")), person("Uribe", "Adriana", email = "adriana.uribe@unige.ch", role = "aut"), person("Courvoisier", "Delphine", email = "Delphine.Courvoisier@hcuge.ch", role = "aut", comment = c(ORCID = "0000-0002-1956-2607")))
Description: Provides models to fit the dynamics of a regulated system experiencing exogenous inputs. The underlying models use differential equations and linear mixed-effects regressions to estimate the coefficients of the equation. With them, the functions can provide an estimated signal. The package provides simulation and analysis functions and also print, summary, plot and predict methods, adapted to the function outputs, for easy implementation and presentation of results.
License: GPL-3
URL: https://github.com/dcourvoisier/doremi
BugReports: https://github.com/dcourvoisier/doremi/issues
Encoding: UTF-8
LazyData: true
Imports: zoo, data.table, lme4, ggplot2, gridExtra, lmerTest, deSolve, futile.logger
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, devtools, roxygen2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-01-19 13:29:01 UTC; denis
Author: Mongin Denis [aut, cre] (<https://orcid.org/0000-0002-4801-8395>), Uribe Adriana [aut], Courvoisier Delphine [aut] (<https://orcid.org/0000-0002-1956-2607>)
Maintainer: Mongin Denis <Denis.Mongin@unige.ch>
Repository: CRAN
Date/Publication: 2021-01-29 13:30:02 UTC

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Package broom updated to version 0.7.4 with previous version 0.7.3 dated 2020-12-16

Title: Convert Statistical Objects into Tidy Tibbles
Description: Summarizes key information about statistical objects in tidy tibbles. This makes it easy to report results, create plots and consistently work with large numbers of models at once. Broom provides three verbs that each provide different types of information about a model. tidy() summarizes information about model components such as coefficients of a regression. glance() reports information about an entire model, such as goodness of fit measures like AIC and BIC. augment() adds information about individual observations to a dataset, such as fitted values or influence measures.
Author: David Robinson [aut], Alex Hayes [aut, cre] (<https://orcid.org/0000-0002-4985-5160>), Simon Couch [aut], Indrajeet Patil [ctb] (<https://orcid.org/0000-0003-1995-6531>), Derek Chiu [ctb], Matthieu Gomez [ctb], Boris Demeshev [ctb], Dieter Menne [ctb], Benjamin Nutter [ctb], Luke Johnston [ctb], Ben Bolker [ctb], Francois Briatte [ctb], Jeffrey Arnold [ctb], Jonah Gabry [ctb], Luciano Selzer [ctb], Gavin Simpson [ctb], Jens Preussner [ctb], Jay Hesselberth [ctb], Hadley Wickham [ctb], Matthew Lincoln [ctb], Alessandro Gasparini [ctb], Lukasz Komsta [ctb], Frederick Novometsky [ctb], Wilson Freitas [ctb], Michelle Evans [ctb], Jason Cory Brunson [ctb], Simon Jackson [ctb], Ben Whalley [ctb], Karissa Whiting [ctb], Yves Rosseel [ctb], Michael Kuehn [ctb], Jorge Cimentada [ctb], Erle Holgersen [ctb], Karl Dunkle Werner [ctb] (<https://orcid.org/0000-0003-0523-7309>), Ethan Christensen [ctb], Steven Pav [ctb], Paul PJ [ctb], Ben Schneider [ctb], Patrick Kennedy [ctb], Lily Medina [ctb], Brian Fannin [ctb], Jason Muhlenkamp [ctb], Matt Lehman [ctb], Bill Denney [ctb] (<https://orcid.org/0000-0002-5759-428X>), Nic Crane [ctb], Andrew Bates [ctb], Vincent Arel-Bundock [ctb] (<https://orcid.org/0000-0003-2042-7063>), Hideaki Hayashi [ctb], Luis Tobalina [ctb], Annie Wang [ctb], Wei Yang Tham [ctb], Clara Wang [ctb], Abby Smith [ctb] (<https://orcid.org/0000-0002-3207-0375>), Jasper Cooper [ctb] (<https://orcid.org/0000-0002-8639-3188>), E Auden Krauska [ctb] (<https://orcid.org/0000-0002-1466-5850>), Alex Wang [ctb], Malcolm Barrett [ctb] (<https://orcid.org/0000-0003-0299-5825>), Charles Gray [ctb] (<https://orcid.org/0000-0002-9978-011X>), Jared Wilber [ctb], Vilmantas Gegzna [ctb] (<https://orcid.org/0000-0002-9500-5167>), Eduard Szoecs [ctb], Frederik Aust [ctb] (<https://orcid.org/0000-0003-4900-788X>), Angus Moore [ctb], Nick Williams [ctb], Marius Barth [ctb] (<https://orcid.org/0000-0002-3421-6665>), Bruna Wundervald [ctb] (<https://orcid.org/0000-0001-8163-220X>), Joyce Cahoon [ctb] (<https://orcid.org/0000-0001-7217-4702>), Grant McDermott [ctb] (<https://orcid.org/0000-0001-7883-8573>), Kevin Zarca [ctb], Shiro Kuriwaki [ctb] (<https://orcid.org/0000-0002-5687-2647>), Lukas Wallrich [ctb] (<https://orcid.org/0000-0003-2121-5177>), James Martherus [ctb] (<https://orcid.org/0000-0002-8285-3300>), Chuliang Xiao [ctb] (<https://orcid.org/0000-0002-8466-9398>), Joseph Larmarange [ctb], Max Kuhn [ctb], Michal Bojanowski [ctb], Hakon Malmedal [ctb], Clara Wang [ctb], Sergio Oller [ctb], Luke Sonnet [ctb], Jim Hester [ctb], Cory Brunson [ctb], Ben Schneider [ctb], Bernie Gray [ctb] (<https://orcid.org/0000-0001-9190-6032>), Mara Averick [ctb], Aaron Jacobs [ctb], Andreas Bender [ctb], Sven Templer [ctb], Paul-Christian Buerkner [ctb], Matthew Kay [ctb], Erwan Le Pennec [ctb], Johan Junkka [ctb], Hao Zhu [ctb], Benjamin Soltoff [ctb], Zoe Wilkinson Saldana [ctb], Tyler Littlefield [ctb], Charles T. Gray [ctb], Shabbh E. Banks [ctb], Serina Robinson [ctb], Roger Bivand [ctb], Riinu Ots [ctb], Nicholas Williams [ctb], Nina Jakobsen [ctb], Michael Weylandt [ctb], Lisa Lendway [ctb], Karl Hailperin [ctb], Josue Rodriguez [ctb], Jenny Bryan [ctb], Chris Jarvis [ctb], Greg Macfarlane [ctb], Brian Mannakee [ctb], Drew Tyre [ctb], Shreyas Singh [ctb], Laurens Geffert [ctb], Hong Ooi [ctb], Henrik Bengtsson [ctb], Eduard Szocs [ctb], David Hugh-Jones [ctb], Matthieu Stigler [ctb], Hugo Tavares [ctb] (<https://orcid.org/0000-0001-9373-2726>), R. Willem Vervoort [ctb], Brenton M. Wiernik [ctb]
Maintainer: Alex Hayes <alexpghayes@gmail.com>

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Package ricu (with last version 0.1.2) was removed from CRAN

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

2020-11-03 0.1.2

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Package qsub (with last version 1.1.0) was removed from CRAN

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

2019-02-13 1.1.0
2018-07-30 1.0.3

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Package fxTWAPLS updated to version 0.0.5 with previous version 0.0.4 dated 2020-11-10

Title: An Improved Version of WA-PLS
Description: The goal of this package is to provide an improved version of WA-PLS (Weighted Averaging Partial Least Squares) by including the tolerances of taxa and the frequency of the sampled climate variable. This package also provides a way of leave-out cross-validation that removes both the test site and sites that are both geographically close and climatically close for each cycle, to avoid the risk of pseudo-replication.
Author: Mengmeng Liu [aut] (<https://orcid.org/0000-0001-6250-0148>), Iain Colin Prentice [aut] (<https://orcid.org/0000-0002-1296-6764>), Cajo J. F. ter Braak [aut] (<https://orcid.org/0000-0002-0414-8745>), Sandy P. Harrison [aut] (<https://orcid.org/0000-0001-5687-1903>), Roberto Villegas-Diaz [aut, cre] (<https://orcid.org/0000-0001-5036-8661>), SPECIAL Research Group @ University of Reading [cph]
Maintainer: Roberto Villegas-Diaz <r.villegas-diaz@reading.ac.uk>

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Permanent link

Package yorkr updated to version 0.0.18 with previous version 0.0.17 dated 2021-01-11

Title: Analyze Cricket Performances Based on Data from Cricsheet
Description: Analyzing performances of cricketers and cricket teams based on 'yaml' match data from Cricsheet <https://cricsheet.org/>.
Author: Tinniam V Ganesh
Maintainer: Tinniam V Ganesh <tvganesh.85@gmail.com>

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Package oce updated to version 1.3-0 with previous version 1.2-0 dated 2020-02-21

Title: Analysis of Oceanographic Data
Description: Supports the analysis of Oceanographic data, including 'ADCP' measurements, measurements made with 'argo' floats, 'CTD' measurements, sectional data, sea-level time series, coastline and topographic data, etc. Provides specialized functions for calculating seawater properties such as potential temperature in either the 'UNESCO' or 'TEOS-10' equation of state. Produces graphical displays that conform to the conventions of the Oceanographic literature. This package is discussed extensively in Dan Kelley's book Oceanographic Analysis with R, published in 2018 by 'Springer-Verlag' with ISBN 978-1-4939-8842-6.
Author: Dan Kelley [aut, cre] (<https://orcid.org/0000-0001-7808-5911>), Clark Richards [aut] (<https://orcid.org/0000-0002-7833-206X>), Chantelle Layton [ctb] (<https://orcid.org/0000-0002-3199-5763>, curl() coauthor), British Geological Survey [ctb, cph] (magnetic-field subroutine)
Maintainer: Dan Kelley <Dan.Kelley@Dal.Ca>

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Package bindata updated to version 0.9-20 with previous version 0.9-19 dated 2012-11-14

Title: Generation of Artificial Binary Data
Description: Generation of correlated artificial binary data.
Author: Friedrich Leisch [aut, cre], Andreas Weingessel [aut], Kurt Hornik [aut]
Maintainer: Friedrich Leisch <Friedrich.Leisch@R-project.org>

Diff between bindata versions 0.9-19 dated 2012-11-14 and 0.9-20 dated 2021-01-29

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New package urbin with initial version 0.1-12
Package: urbin
Version: 0.1-12
Date: 2021-01-28
Title: Unifying Estimation Results with Binary Dependent Variables
Author: Arne Henningsen, Geraldine Henningsen
Maintainer: Arne Henningsen <arne.henningsen@gmail.com>
Depends: R (>= 2.14.0)
Suggests: sampleSelection (>= 0.7-0), maxLik (>= 1.1-2), mfx (>= 1.1), mlogit (>= 0.3-0), MASS (>= 7.3-50), mvProbit (>= 0.1-8), knitr, stargazer
VignetteBuilder: knitr
Description: Calculate unified measures that quantify the effect of a covariate on a binary dependent variable (e.g., for meta-analyses). This can be particularly important if the estimation results are obtained with different models/estimators (e.g., linear probability model, logit, probit, ...) and/or with different transformations of the explanatory variable of interest (e.g., linear, quadratic, interval-coded, ...). The calculated unified measures are: (a) semi-elasticities of linear, quadratic, or interval-coded covariates and (b) effects of linear, quadratic, interval-coded, or categorical covariates when a linear or quadratic covariate changes between distinct intervals, the reference category of a categorical variable or the reference interval of an interval-coded variable needs to be changed, or some categories of a categorical covariate or some intervals of an interval-coded covariate need to be grouped together. Approximate standard errors of the unified measures are also calculated. All methods that are implemented in this package are described in the 'vignette' "Extracting and Unifying Semi-Elasticities and Effect Sizes from Studies with Binary Dependent Variables" that is included in this package.
License: GPL (>= 2)
URL: http://r-forge.r-project.org/projects/urbin/
NeedsCompilation: no
Packaged: 2021-01-28 22:18:42 UTC; gsl324
Repository: CRAN
Date/Publication: 2021-01-29 10:10:02 UTC

More information about urbin at CRAN
Permanent link

Package tibble updated to version 3.0.6 with previous version 3.0.5 dated 2021-01-15

Title: Simple Data Frames
Description: Provides a 'tbl_df' class (the 'tibble') that provides stricter checking and better formatting than the traditional data frame.
Author: Kirill Müller [aut, cre], Hadley Wickham [aut], Romain Francois [ctb], Jennifer Bryan [ctb], RStudio [cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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Package rPraat updated to version 1.3.2 with previous version 1.3.1 dated 2020-04-04

Title: Interface to Praat
Description: Read, write and manipulate 'Praat' TextGrid, PitchTier, Pitch, IntensityTier, Formant, Sound, and Collection files <https://www.fon.hum.uva.nl/praat/>.
Author: Tomas Boril [aut, cre]
Maintainer: Tomas Boril <borilt@gmail.com>

Diff between rPraat versions 1.3.1 dated 2020-04-04 and 1.3.2 dated 2021-01-29

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New package SIPDIBGE with initial version 0.1.1
Package: SIPDIBGE
Type: Package
Title: Collection of Household Survey Packages Conducted by IBGE
Version: 0.1.1
Authors@R: c(person("Gabriel", "Assuncao", email = "pacotesipd@ibge.gov.br", role = c("aut", "cre")), person("Luna", "Hidalgo", email = "pacotesipd@ibge.gov.br", role = c("aut")), person("Douglas", "Braga", email = "pacotesipd@ibge.gov.br", role = c("ctb")))
Description: Provides access to packages developed for downloading, reading and analysing microdata from household surveys conducted by Brazilian Institute of Geography and Statistics - IBGE. More information can be obtained from the official website <https://www.ibge.gov.br/>.
Depends: R (>= 3.2.0), PNADcIBGE (>= 0.6.0), POFIBGE (>= 0.1.0), PNSIBGE (>= 0.1.0), COVIDIBGE (>= 0.1.0)
Imports: tidyverse, cli, purrr, rstudioapi, png, grDevices, graphics, utils, tibble
Suggests: survey, readr, dplyr, magrittr, RCurl, timeDate, readxl, convey
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.1
NeedsCompilation: no
Author: Gabriel Assuncao [aut, cre], Luna Hidalgo [aut], Douglas Braga [ctb]
Maintainer: Gabriel Assuncao <pacotesipd@ibge.gov.br>
Packaged: 2021-01-27 17:22:47 UTC; gabriel.assuncao
Repository: CRAN
Date/Publication: 2021-01-29 11:00:02 UTC

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Package PCovR updated to version 2.7.1 with previous version 2.7 dated 2017-06-19

Title: Principal Covariates Regression
Description: Analyzing regression data with many and/or highly collinear predictor variables, by simultaneously reducing the predictor variables to a limited number of components and regressing the criterion variables on these components (de Jong S. & Kiers H. A. L. (1992) <doi:10.1016/0169-7439(92)80100-I>). Several rotation and model selection options are provided.
Author: Marlies Vervloet [aut, cre], Henk Kiers [aut], Eva Ceulemans [ctb]
Maintainer: Marlies Vervloet <marlies.vervloet@ppw.kuleuven.be>

Diff between PCovR versions 2.7 dated 2017-06-19 and 2.7.1 dated 2021-01-29

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New package grainchanger with initial version 0.3.1
Package: grainchanger
Title: Moving-Window and Direct Data Aggregation
Version: 0.3.1
Authors@R: c(person("Laura", "Graham", email = "LauraJaneEGraham@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-3611-7281")), person("Felix", "Eigenbrod", role = "ctb", email = "f.eigenbrod@soton.ac.uk", comment = "Input on initial conceptual development"), person("Marco", "Sciaini", role = "ctb", email = "sciaini.marco@gmail.com", comment = "Input on package development and structure"))
Description: Data aggregation via moving window or direct methods. Aggregate a fine-resolution raster to a grid. The moving window method smooths the surface using a specified function within a moving window of a specified size and shape prior to aggregation. The direct method simply aggregates to the grid using the specified function.
Depends: R (>= 3.3)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: raster, sf, furrr, checkmate, methods, usethis
Suggests: dplyr (>= 0.8-0), testthat, knitr, rmarkdown, covr, ggplot2, landscapetools, rgdal
RoxygenNote: 7.1.1
Language: en-GB
VignetteBuilder: knitr
URL: https://docs.ropensci.org/grainchanger/, https://github.com/ropensci/grainchanger
BugReports: https://github.com/ropensci/grainchanger/issues
NeedsCompilation: no
Packaged: 2021-01-27 13:15:20 UTC; GrahamLZ
Author: Laura Graham [aut, cre] (<https://orcid.org/0000-0002-3611-7281>), Felix Eigenbrod [ctb] (Input on initial conceptual development), Marco Sciaini [ctb] (Input on package development and structure)
Maintainer: Laura Graham <LauraJaneEGraham@gmail.com>
Repository: CRAN
Date/Publication: 2021-01-29 10:50:02 UTC

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Package cpp11 updated to version 0.2.6 with previous version 0.2.5 dated 2021-01-12

Title: A C++11 Interface for R's C Interface
Description: Provides a header only, C++11 interface to R's C interface. Compared to other approaches 'cpp11' strives to be safe against long jumps from the C API as well as C++ exceptions, conform to normal R function semantics and supports interaction with 'ALTREP' vectors.
Author: Jim Hester [aut, cre] (<https://orcid.org/0000-0002-2739-7082>), Romain François [ctb], Benjamin Kietzman [ctb], RStudio [cph, fnd]
Maintainer: Jim Hester <jim.hester@rstudio.com>

Diff between cpp11 versions 0.2.5 dated 2021-01-12 and 0.2.6 dated 2021-01-29

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Package AlleleShift updated to version 0.9-2 with previous version 0.9 dated 2021-01-26

Title: Predict and Visualize Population-Level Changes in Allele Frequencies in Response to Climate Change
Description: Methods (Kindt, R. 2021. <doi:10.1101/2021.01.15.426775>) are provided of calibrating and predicting shifts in allele frequencies through redundancy analysis ('vegan::rda()') and generalized additive models ('mgcv::gam()'). Visualization functions for predicted changes in allele frequencies include 'shift.dot.ggplot()', 'shift.pie.ggplot()', 'shift.moon.ggplot()', 'shift.waffle.ggplot()' and 'shift.surf.ggplot()' that are made with input data sets that are prepared by helper functions for each visualization method. Examples in the documentation show how to prepare animated climate change graphics through a time series with the 'gganimate' package. Function 'amova.rda()' shows how Analysis of Molecular Variance can be directly conducted with the results from redundancy analysis.
Author: Roeland Kindt [cre, aut] (<https://orcid.org/0000-0002-7672-0712>)
Maintainer: Roeland Kindt <R.KINDT@CGIAR.ORG>

Diff between AlleleShift versions 0.9 dated 2021-01-26 and 0.9-2 dated 2021-01-29

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Package stabs updated to version 0.6-4 with previous version 0.6-3 dated 2017-07-19

Title: Stability Selection with Error Control
Description: Resampling procedures to assess the stability of selected variables with additional finite sample error control for high-dimensional variable selection procedures such as Lasso or boosting. Both, standard stability selection (Meinshausen & Buhlmann, 2010, <doi:10.1111/j.1467-9868.2010.00740.x>) and complementary pairs stability selection with improved error bounds (Shah & Samworth, 2013, <doi:10.1111/j.1467-9868.2011.01034.x>) are implemented. The package can be combined with arbitrary user specified variable selection approaches.
Author: Benjamin Hofner [aut, cre], Torsten Hothorn [aut]
Maintainer: Benjamin Hofner <benjamin.hofner@pei.de>

Diff between stabs versions 0.6-3 dated 2017-07-19 and 0.6-4 dated 2021-01-29

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New package survSpearman with initial version 1.0.0
Package: survSpearman
Title: Nonparametric Spearman's Correlation for Survival Data
Version: 1.0.0
Authors@R: c(person("Svetlana", "Eden", email = "svetlana.k.eden.1@vumc.org", role = c("aut", "cre")), person("Chun", "Li", email = "cli77199@usc.edu", role = c("aut", "anl")), person("Bryan", "Shepherd", email = "bryan.shepherd@vumc.org", role = c("aut", "anl")))
Maintainer: Svetlana Eden <svetlana.k.eden.1@vumc.org>
Description: Nonparametric estimation of Spearman's rank correlation with bivariate survival (right-censored) data as described in Eden, S.K., Li, C., Shepherd B.E. (2021), Nonparametric Estimation of Spearman's Rank Correlation with Bivariate Survival Data, Biometrics (under revision). The package also provides functions that visualize bivariate survival data and bivariate probability mass function.
Depends: R (>= 3.5)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-01-26 18:12:32 UTC; svetlanaeden
Author: Svetlana Eden [aut, cre], Chun Li [aut, anl], Bryan Shepherd [aut, anl]
Repository: CRAN
Date/Publication: 2021-01-29 09:40:02 UTC

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New package regtomean with initial version 1.0
Package: regtomean
Type: Package
Title: Regression Toward the Mean
Version: 1.0
Imports: formattable, effsize, mefa, plyr, plotrix, sjPlot, sjmisc, sjlabelled,
Authors@R: c(person("Daniela", "Recchia", role = c("aut","cre"), email = "daniela.rodriguesrecchia@uni-wh.de"), person("Thomas", "Ostermann", role = "ctb") )
Description: In repeated measures studies with extreme large or small values it is common that the subjects measurements on average are closer to the mean of the basic population. Interpreting possible changes in the mean in such situations can lead to biased results since the values were not randomly selected, they come from truncated sampling. This method allows to estimate the range of means where treatment effects are likely to occur when regression toward the mean is present. Ostermann, T., Willich, Stefan N. & Luedtke, Rainer. (2008). Regression toward the mean - a detection method for unknown population mean based on Mee and Chua's algorithm. BMC Medical Research Methodology.<doi:10.1186/1471-2288-8-52>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-01-26 08:05:57 UTC; drodriguesre
Author: Daniela Recchia [aut, cre], Thomas Ostermann [ctb]
Maintainer: Daniela Recchia <daniela.rodriguesrecchia@uni-wh.de>
Repository: CRAN
Date/Publication: 2021-01-29 09:20:03 UTC

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New package OTrecod with initial version 0.1.0
Package: OTrecod
Title: Data Fusion using Optimal Transportation Theory
Version: 0.1.0
Authors@R: c( person(given = "Gregory" , family = "Guernec" , role = c("aut","cre"), email = "otrecod.pkg@gmail.com"), person(given = "Valerie" , family = "Gares" , role = "aut", email = "otrecod.pkg@gmail.com"), person(given = "Pierre" , family = "Navaro" , role = "ctb"), person(given = "Jeremy" , family = "Omer" , role = "ctb"), person(given = "Philippe", family = "Saint-Pierre", role = "ctb"), person(given = "Nicolas" , family = "Savy" , role = "ctb"))
Maintainer: Gregory Guernec <otrecod.pkg@gmail.com>
Description: In the context of data fusion, the package provides a set of functions dedicated to the solving of 'recoding problems' using optimal transportation theory (Gares, Guernec, Savy (2019) <doi:10.1515/ijb-2018-0106> and Gares, Omer (2020) <doi:10.1080/01621459.2020.1775615>). From two databases with no overlapping part except a subset of shared variables, the functions of the package assist users until obtaining a unique synthetic database, where the missing information is fully completed.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 3.5)
Imports: stats, dplyr, mice, missMDA, plyr, FactoMineR, StatMatch, proxy, rdist, ROI, ROI.plugin.glpk, ompr, ompr.roi, party, vcd
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-01-27 09:52:51 UTC; secr
Author: Gregory Guernec [aut, cre], Valerie Gares [aut], Pierre Navaro [ctb], Jeremy Omer [ctb], Philippe Saint-Pierre [ctb], Nicolas Savy [ctb]
Repository: CRAN
Date/Publication: 2021-01-29 09:20:14 UTC

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Package mondate updated to version 0.10.02 with previous version 0.10.01.02 dated 2013-07-20

Title: Keep Track of Dates in Terms of Months
Description: Keep track of dates in terms of fractional calendar months per Damien Laker "Time Calculations for Annualizing Returns: the Need for Standardization", The Journal of Performance Measurement, 2008. Model dates as of close of business. Perform date arithmetic in units of "months" and "years". Allow "infinite" dates to model "ultimate" time.
Author: Dan Murphy
Maintainer: Dan Murphy <chiefmurphy@gmail.com>

Diff between mondate versions 0.10.01.02 dated 2013-07-20 and 0.10.02 dated 2021-01-29

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New package mlr3hyperband with initial version 0.1.2
Package: mlr3hyperband
Title: Hyperband for 'mlr3'
Version: 0.1.2
Authors@R: c(person(given = "Marc", family = "Becker", role = c("aut", "cre"), email = "marcbecker@posteo.de", comment = c(ORCID = "0000-0002-8115-0400")), person(given = "Sebastian", family = "Gruber", role = "aut", email = "gruber_sebastian@t-online.de", comment = c(ORCID = "0000-0002-8544-3470")), person(given = "Jakob", family = "Richter", role = "aut", email = "jakob1richter@gmail.com", comment = c(ORCID = "0000-0003-4481-5554")), person(given = "Julia", family = "Moosbauer", role = "aut", email = "ju.moosbauer@googlemail.com", comment = c(ORCID = "0000-0002-0000-9297")), person(given = "Bernd", family = "Bischl", role = "aut", email = "bernd_bischl@gmx.net", comment = c(ORCID = "0000-0001-6002-6980")))
Description: Implements hyperband method for hyperparameter tuning. Various termination criteria can be set and combined. The class 'AutoTuner' provides a convenient way to perform nested resampling in combination with 'mlr3'. The hyperband algorithm was proposed by Lisha Li, Kevin Jamieson, Giulia DeSalvo, Afshin Rostamizadeh and Ameet Talwalkar (2018) <arXiv:1603.06560>.
License: LGPL-3
URL: https://mlr3hyperband.mlr-org.com, https://github.com/mlr-org/mlr3hyperband
BugReports: https://github.com/mlr-org/mlr3hyperband/issues
Depends: mlr3tuning (>= 0.6.0), R (>= 3.1.0)
Imports: bbotk (>= 0.3.0), checkmate (>= 1.9.4), data.table, lgr, mlr3 (>= 0.7.0), mlr3misc (>= 0.7.0), paradox (>= 0.7.0), R6
Suggests: emoa, mlr3learners, mlr3pipelines, rpart, testthat (>= 3.0.0), xgboost
Config/testthat/edition: 3
Config/testthat/parallel: true
Encoding: UTF-8
NeedsCompilation: no
RoxygenNote: 7.1.1
Collate: 'TunerHyperband.R' 'nds_selection.R' 'bibentries.R' 'zzz.R'
Packaged: 2021-01-26 08:31:50 UTC; marc
Author: Marc Becker [aut, cre] (<https://orcid.org/0000-0002-8115-0400>), Sebastian Gruber [aut] (<https://orcid.org/0000-0002-8544-3470>), Jakob Richter [aut] (<https://orcid.org/0000-0003-4481-5554>), Julia Moosbauer [aut] (<https://orcid.org/0000-0002-0000-9297>), Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>)
Maintainer: Marc Becker <marcbecker@posteo.de>
Repository: CRAN
Date/Publication: 2021-01-29 09:20:05 UTC

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New package grmsem with initial version 1.1.0
Package: grmsem
Title: Genetic-Relationship-Matrix Structural Equation Modelling (GRMSEM)
Version: 1.1.0
Authors@R: c( person("Beate", "StPourcain", email = "Beate.StPourcain@mpi.nl", comment = c(ORCID = "0000-0002-4680-3517"), role = c("aut", "cre")), person("Alexander", "Klassmann", email = "alex.klassmann@koeln.de", role = c("ctb")) )
Maintainer: Beate StPourcain <Beate.StPourcain@mpi.nl>
Description: Quantitative genetics tool supporting the modelling of multivariate genetic variance structures in quantitative data. It allows fitting different models through multivariate genetic-relationship-matrix (GRM) structural equation modelling (SEM) in unrelated individuals, using a maximum likelihood approach. Specifically, it combines genome-wide genotyping information, as captured by GRMs, with twin-research-based SEM techniques, St Pourcain et al. (2017) <doi:10.1016/j.biopsych.2017.09.020>, Shapland et al. (2020) <doi:10.1101/2020.08.14.251199>.
Depends: R (>= 3.5)
Imports: msm (>= 1.6), numDeriv, optimParallel, stats, utils
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Suggests: bookdown, knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
URL: https://CRAN.R-project.org/package=grmsem, https://gitlab.gwdg.de/beate.stpourcain/grmsem
BugReports: https://gitlab.gwdg.de/beate.stpourcain/grmsem/-/issues
Packaged: 2021-01-27 11:16:48 UTC; beapou
Author: Beate StPourcain [aut, cre] (<https://orcid.org/0000-0002-4680-3517>), Alexander Klassmann [ctb]
Repository: CRAN
Date/Publication: 2021-01-29 09:20:08 UTC

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Package grattan updated to version 1.9.0.4 with previous version 1.9.0.2 dated 2021-01-16

Title: Australian Tax Policy Analysis
Description: Utilities to cost and evaluate Australian tax policy, including fast projections of personal income tax collections, high-performance tax and transfer calculators, and an interface to common indices from the Australian Bureau of Statistics. Written to support Grattan Institute's Australian Perspectives program, and related projects. Access to the Australian Taxation Office's sample files of personal income tax returns is assumed.
Author: Hugh Parsonage [aut, cre], Tim Cameron [aut], Brendan Coates [aut], Matthew Katzen [aut], William Young [aut], Ittima Cherastidtham [dtc], W. Karsten [ctb], M. Enrique Garcia [ctb], Matt Cowgill [aut]
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>

Diff between grattan versions 1.9.0.2 dated 2021-01-16 and 1.9.0.4 dated 2021-01-29

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New package contingency with initial version 0.0.6
Package: contingency
Title: Discrete Multivariate Probability Distributions
Version: 0.0.6
Authors@R: person("Robin", "Evans", email = "evans@stats.ox.ac.uk", role = c("aut", "cre"))
Description: Provides an object class for dealing with many multivariate probability distributions at once, useful for simulation.
Depends: R (>= 3.5.0), rje
License: GPL-2
LazyData: true
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-01-26 12:50:03 UTC; robin
Author: Robin Evans [aut, cre]
Maintainer: Robin Evans <evans@stats.ox.ac.uk>
Repository: CRAN
Date/Publication: 2021-01-29 09:20:11 UTC

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New package con2lki with initial version 0.1.0
Package: con2lki
Type: Package
Title: Calculate the Dutch Air Quality Index (LKI)
Version: 0.1.0
Author: Mark Baas
Maintainer: Mark Baas <mark.baas@gmail.com>
Description: Calculates the dutch air quality index (LKI). This index was created on the basis of scientific studies of the health effects of air pollution. From these studies it can be deduced at what concentrations a certain percentage of the population can be affected. For more information see: <https://www.rivm.nl/bibliotheek/rapporten/2014-0050.pdf>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: testthat, dplyr
NeedsCompilation: no
Packaged: 2021-01-26 09:04:09 UTC; mark
Repository: CRAN
Date/Publication: 2021-01-29 10:00:06 UTC

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Package airGR updated to version 1.6.10.4 with previous version 1.6.9.27 dated 2021-01-22

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>), David Dorchies [aut] (<https://orcid.org/0000-0002-6595-7984>), 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>), 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>

Diff between airGR versions 1.6.9.27 dated 2021-01-22 and 1.6.10.4 dated 2021-01-29

 airGR-1.6.10.4/airGR/DESCRIPTION                                      |   12 
 airGR-1.6.10.4/airGR/MD5                                              |  130 -
 airGR-1.6.10.4/airGR/NEWS.md                                          |   24 
 airGR-1.6.10.4/airGR/R/Calibration_Michel.R                           |    4 
 airGR-1.6.10.4/airGR/R/CreateCalibOptions.R                           |   50 
 airGR-1.6.10.4/airGR/R/CreateInputsModel.R                            |  522 +++---
 airGR-1.6.10.4/airGR/R/DataAltiExtrapolation_Valery.R                 |  672 +-------
 airGR-1.6.10.4/airGR/R/Imax.R                                         |   55 
 airGR-1.6.10.4/airGR/R/PE_Oudin.R                                     |    4 
 airGR-1.6.10.4/airGR/R/PEdaily_Oudin.R                                |   12 
 airGR-1.6.10.4/airGR/R/RunModel.R                                     |    2 
 airGR-1.6.10.4/airGR/R/RunModel_GR2M.R                                |    4 
 airGR-1.6.10.4/airGR/R/RunModel_GR4H.R                                |    4 
 airGR-1.6.10.4/airGR/R/RunModel_GR4J.R                                |    4 
 airGR-1.6.10.4/airGR/R/RunModel_GR5H.R                                |   65 
 airGR-1.6.10.4/airGR/R/RunModel_GR5J.R                                |    4 
 airGR-1.6.10.4/airGR/R/RunModel_GR6J.R                                |    4 
 airGR-1.6.10.4/airGR/R/RunModel_Lag.R                                 |    9 
 airGR-1.6.10.4/airGR/R/TransfoParam_CemaNeige.R                       |    2 
 airGR-1.6.10.4/airGR/R/TransfoParam_CemaNeigeHyst.R                   |    6 
 airGR-1.6.10.4/airGR/R/TransfoParam_GR1A.R                            |    2 
 airGR-1.6.10.4/airGR/R/TransfoParam_Lag.R                             |    4 
 airGR-1.6.10.4/airGR/R/UtilsCemaNeige.R                               |only
 airGR-1.6.10.4/airGR/R/UtilsErrorCrit.R                               |    2 
 airGR-1.6.10.4/airGR/build/partial.rdb                                |binary
 airGR-1.6.10.4/airGR/inst/doc/V01_get_started.Rmd                     |    1 
 airGR-1.6.10.4/airGR/inst/doc/V01_get_started.html                    |  802 ++++-----
 airGR-1.6.10.4/airGR/inst/doc/V02.1_param_optim.R                     |   79 
 airGR-1.6.10.4/airGR/inst/doc/V02.1_param_optim.Rmd                   |  104 +
 airGR-1.6.10.4/airGR/inst/doc/V02.1_param_optim.html                  |  720 ++++----
 airGR-1.6.10.4/airGR/inst/doc/V02.2_param_mcmc.html                   |  649 +++-----
 airGR-1.6.10.4/airGR/inst/doc/V03_param_sets_GR4J.Rmd                 |    1 
 airGR-1.6.10.4/airGR/inst/doc/V03_param_sets_GR4J.html                |  657 +++-----
 airGR-1.6.10.4/airGR/inst/doc/V04_cemaneige_hysteresis.Rmd            |    1 
 airGR-1.6.10.4/airGR/inst/doc/V04_cemaneige_hysteresis.html           |  805 ++++------
 airGR-1.6.10.4/airGR/inst/doc/V05_sd_model.R                          |   64 
 airGR-1.6.10.4/airGR/inst/doc/V05_sd_model.Rmd                        |   66 
 airGR-1.6.10.4/airGR/inst/doc/V05_sd_model.html                       |  796 ++++-----
 airGR-1.6.10.4/airGR/inst/vignettesData/vignetteParamOptimCaramel.rda |only
 airGR-1.6.10.4/airGR/man/CreateCalibOptions.Rd                        |    2 
 airGR-1.6.10.4/airGR/man/CreateInputsCrit.Rd                          |    8 
 airGR-1.6.10.4/airGR/man/CreateRunOptions.Rd                          |    6 
 airGR-1.6.10.4/airGR/man/Param_Sets_GR4J.Rd                           |    4 
 airGR-1.6.10.4/airGR/man/RunModel_CemaNeige.Rd                        |    4 
 airGR-1.6.10.4/airGR/man/RunModel_CemaNeigeGR4H.Rd                    |    2 
 airGR-1.6.10.4/airGR/man/RunModel_CemaNeigeGR4J.Rd                    |    4 
 airGR-1.6.10.4/airGR/man/RunModel_CemaNeigeGR5H.Rd                    |    2 
 airGR-1.6.10.4/airGR/man/RunModel_CemaNeigeGR6J.Rd                    |    4 
 airGR-1.6.10.4/airGR/man/RunModel_GR1A.Rd                             |    2 
 airGR-1.6.10.4/airGR/man/TransfoParam.Rd                              |    4 
 airGR-1.6.10.4/airGR/src/airGR.c                                      |    4 
 airGR-1.6.10.4/airGR/src/frun_GR5H.f90                                |    7 
 airGR-1.6.10.4/airGR/tests/testthat/helper_regression.R               |   14 
 airGR-1.6.10.4/airGR/tests/testthat/helper_vignettes.R                |   20 
 airGR-1.6.10.4/airGR/tests/testthat/regression.R                      |    2 
 airGR-1.6.10.4/airGR/tests/testthat/regression_tests.R                |    6 
 airGR-1.6.10.4/airGR/tests/testthat/test-CreateRunOptions.R           |   19 
 airGR-1.6.10.4/airGR/tests/testthat/test-CreateiniStates.R            |  112 -
 airGR-1.6.10.4/airGR/tests/testthat/test-RunModel_Lag.R               |only
 airGR-1.6.10.4/airGR/tests/testthat/test-SeriesAggreg.R               |    9 
 airGR-1.6.10.4/airGR/tests/testthat/test-evap.R                       |   15 
 airGR-1.6.10.4/airGR/tests/testthat/test-vignettes.R                  |   20 
 airGR-1.6.10.4/airGR/vignettes/V01_get_started.Rmd                    |    1 
 airGR-1.6.10.4/airGR/vignettes/V02.1_param_optim.Rmd                  |  104 +
 airGR-1.6.10.4/airGR/vignettes/V03_param_sets_GR4J.Rmd                |    1 
 airGR-1.6.10.4/airGR/vignettes/V04_cemaneige_hysteresis.Rmd           |    1 
 airGR-1.6.10.4/airGR/vignettes/V05_sd_model.Rmd                       |   66 
 airGR-1.6.9.27/airGR/tests/testthat/test-RunModel_LAG.R               |only
 68 files changed, 3224 insertions(+), 3561 deletions(-)

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New package serp with initial version 0.1.8
Type: Package
Package: serp
Title: Smooth Effects on Response Penalty for 'CLM'
Version: 0.1.8
Author: Ejike R. Ugba [aut, cre, cph]
Maintainer: Ejike R. Ugba <ejike.ugba@outlook.com>
Description: A regularization method for the cumulative link models. The 'smooth-effect-on-response penalty' ('SERP') provides flexible modelling of the ordinal model by enabling the smooth transition from the general cumulative link model to a coarser form of the same model. In other words, as the tuning parameter goes from zero to infinity, the subject-specific effects associated with each variable in the model tend to a unique global effect. The parameter estimates of the general cumulative model are mostly unidentifiable or at least only identifiable within a range of the entire parameter space. Thus, by maximizing a penalized rather than the usual non-penalized log-likelihood, this and other numerical problems common with the general model are to a large extent eliminated. Fitting is via a modified Newton's method. Several standard model performance and descriptive methods are also available. An outline of the penalty implemented here is found in Tutz, G and Gertheiss, J (2016) <doi:10.1177/1471082X16642560>.
License: GPL-2
URL: https://github.com/ejikeugba/serp
BugReports: https://github.com/ejikeugba/serp/issues
Depends: R (>= 3.2.0)
Imports: ordinal (>= 2016-12-12), stats
Suggests: covr, testthat, VGAM (>= 1.1-4)
Encoding: UTF-8
LazyData: True
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-01-27 02:19:15 UTC; EJIKE
Repository: CRAN
Date/Publication: 2021-01-29 08:50:02 UTC

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New package essentials with initial version 0.1.0
Package: essentials
Type: Package
Title: Essential Functions not Included in Base R
Version: 0.1.0
Author: Andrew Simmons
Maintainer: Andrew Simmons <akwsimmo@gmail.com>
Description: Functions for converting objects to scalars (vectors of length 1) and a more inclusive definition of data that can be interpreted as numbers (numeric and complex alike).
License: MIT + file LICENSE
Depends: methods
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2021-01-27 01:21:10 UTC; andre
Repository: CRAN
Date/Publication: 2021-01-29 08:50:07 UTC

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New package era with initial version 0.3.1
Package: era
Type: Package
Title: Years with an Era
Version: 0.3.1
Authors@R: person("Joe", "Roe", email = "joe@joeroe.io", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-1011-1244"))
Description: Provides a consistent vector representation of years with an associated calendar era or time scale. It includes built-in definitions of many contemporary and historic calendars; time scales commonly used in archaeology, astronomy, geology, and other palaeosciences (e.g. Before Present, SI-prefixed 'annus'); and support for arbitrary user-defined eras. Functions for converting between eras and for type-stable arithmetic with years are also provided.
Language: en-GB
License: MIT + file LICENSE
URL: https://era.joeroe.io, https://github.com/joeroe/era
BugReports: https://github.com/joeroe/era/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 2.10)
Imports: vctrs (>= 0.3.0), methods, rlang, magrittr, pillar
Suggests: tibble, testthat, covr, knitr, rmarkdown, dplyr, spelling, purrr, tidyr
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2021-01-27 07:00:26 UTC; joeroe
Author: Joe Roe [aut, cre] (<https://orcid.org/0000-0002-1011-1244>)
Maintainer: Joe Roe <joe@joeroe.io>
Repository: CRAN
Date/Publication: 2021-01-29 09:00:02 UTC

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New package anybadger with initial version 0.1.0
Package: anybadger
Type: Package
Title: Create Custom Pipeline Badges
Version: 0.1.0
Author: Lorenzo Meninato
Maintainer: Lorenzo Meninato <lorenzomeninato@gmail.com>
URL: https://github.com/lmeninato/anybadger
BugReports: https://github.com/lmeninato/anybadger/issues
Description: You can use this package to create custom pipeline badges in a standard 'svg' format. This is useful for a company to use internally, where it may not be possible to create badges through external providers. This project was inspired by the 'anybadge' library in python.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: R6, glue, purrr, config, magrittr
RoxygenNote: 7.0.2
Suggests: testthat (>= 2.1.0), withr, xml2
NeedsCompilation: no
Packaged: 2021-01-27 04:15:18 UTC; lorenzomeninato
Repository: CRAN
Date/Publication: 2021-01-29 09:00:05 UTC

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Package IMIX (with last version 1.1.0) was removed from CRAN

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

2020-12-08 1.1.0

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Package tkRplotR (with last version 0.1.4) was removed from CRAN

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

2021-01-12 0.1.4
2020-06-20 0.1.3
2019-11-20 0.1.2
2018-02-23 0.1.1
2018-02-20 0.1.0

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Package xRing (with last version 0.1.0) was removed from CRAN

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

2018-08-24 0.1.0

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Package MiRNAQCD (with last version 1.1) was removed from CRAN

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

2020-07-13 1.1
2020-06-25 1.0

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Package FKF.SP updated to version 0.1.1 with previous version 0.1.0 dated 2020-12-18

Title: Fast Kalman Filtering Through Sequential Processing
Description: Fast and flexible Kalman filtering implementation utilizing sequential processing, designed for efficient parameter estimation through maximum likelihood estimation. Sequential processing is a univariate treatment of a multivariate series of observations and can benefit from computational efficiency over traditional Kalman filtering when independence is assumed in the variance of the disturbances of the measurement equation. Sequential processing is described in the textbook of Durbin and Koopman (2001, ISBN:978-0-19-964117-8). 'FKF.SP' was built upon the existing 'FKF' package and is, in general, a faster Kalman filter.
Author: Thomas Aspinall [aut, cre] (<https://orcid.org/0000-0002-6968-1989>), Adrian Gepp [aut] (<https://orcid.org/0000-0003-1666-5501>), Geoff Harris [aut] (<https://orcid.org/0000-0003-4284-8619>), Simone Kelly [aut] (<https://orcid.org/0000-0002-6528-8557>), Colette Southam [aut] (<https://orcid.org/0000-0001-7263-2347>), Bruce Vanstone [aut] (<https://orcid.org/0000-0002-3977-2468>), David Luethi [ctb], Philipp Erb [ctb], Simon Otziger [ctb], Paul Smith [ctb] (<https://orcid.org/0000-0002-0034-3412>)
Maintainer: Thomas Aspinall <tomaspinall2512@gmail.com>

Diff between FKF.SP versions 0.1.0 dated 2020-12-18 and 0.1.1 dated 2021-01-29

 FKF.SP-0.1.0/FKF.SP/R/FKF.SP-Description.R |only
 FKF.SP-0.1.1/FKF.SP/DESCRIPTION            |   10 
 FKF.SP-0.1.1/FKF.SP/MD5                    |   21 
 FKF.SP-0.1.1/FKF.SP/NEWS.md                |    9 
 FKF.SP-0.1.1/FKF.SP/R/fkf.SP.R             |  149 ++----
 FKF.SP-0.1.1/FKF.SP/README.md              |    2 
 FKF.SP-0.1.1/FKF.SP/build/FKF.SP.pdf       |binary
 FKF.SP-0.1.1/FKF.SP/inst/doc/FKFSP.R       |  150 ++++--
 FKF.SP-0.1.1/FKF.SP/inst/doc/FKFSP.Rmd     |  703 ++++++++++++++++-------------
 FKF.SP-0.1.1/FKF.SP/inst/doc/FKFSP.html    |  565 ++++++++++++-----------
 FKF.SP-0.1.1/FKF.SP/man/fkf.SP.Rd          |  134 ++---
 FKF.SP-0.1.1/FKF.SP/vignettes/FKFSP.Rmd    |  703 ++++++++++++++++-------------
 12 files changed, 1357 insertions(+), 1089 deletions(-)

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Package arcpullr (with last version 0.1) was removed from CRAN

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

2021-01-15 0.1
2021-01-15 0.1.1

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Package politicaldata (with last version 0.1.3) was removed from CRAN

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

2019-06-17 0.1.3
2019-03-13 0.1.2
2019-02-22 0.1.1

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