Sat, 10 Sep 2022

Package terra updated to version 1.6-17 with previous version 1.6-7 dated 2022-08-07

Title: Spatial Data Analysis
Description: Methods for spatial data analysis with raster and vector data. Raster methods allow for low-level data manipulation as well as high-level global, local, zonal, and focal computation. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/terra/> to get started. 'terra' is a replacement for the 'raster' package ('terra' can do more, and it is faster and easier to use).
Author: Robert J. Hijmans [cre, aut] , Roger Bivand [ctb] , Karl Forner [ctb], Jeroen Ooms [ctb] , Edzer Pebesma [ctb] , Michael D. Sumner [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

Diff between terra versions 1.6-7 dated 2022-08-07 and 1.6-17 dated 2022-09-10

 DESCRIPTION                |   10 
 MD5                        |  216 +++++-----
 NAMESPACE                  |    2 
 NEWS.md                    |  179 +++++---
 R/Agenerics.R              |    7 
 R/Arith_generics.R         |   70 ++-
 R/aggregate.R              |    8 
 R/app.R                    |    4 
 R/approximate.R            |    2 
 R/arith.R                  |    2 
 R/coerce.R                 |   23 -
 R/connect.R                |    2 
 R/crs.R                    |    1 
 R/deprecated.R             |   14 
 R/distance.R               |   50 +-
 R/extent.R                 |   10 
 R/extract.R                |   98 +++-
 R/focal.R                  |   26 -
 R/generics.R               |  130 ++++--
 R/geom.R                   |   14 
 R/init.R                   |    2 
 R/interpolate.R            |    2 
 R/lapp.R                   |   30 -
 R/levels.R                 |   13 
 R/lines.R                  |   92 ++--
 R/match.R                  |    2 
 R/names.R                  |   12 
 R/options.R                |   13 
 R/plotRGB.R                |   11 
 R/plot_raster.R            |   15 
 R/plot_vector.R            |  129 +++---
 R/predict.R                |    4 
 R/rapp.R                   |    2 
 R/rast.R                   |    2 
 R/rasterize.R              |    2 
 R/relate.R                 |  189 ++++++++-
 R/sample.R                 |  367 +++++++++++-------
 R/select.R                 |    4 
 R/show.R                   |   19 
 R/spatvec.R                |   22 +
 R/subset.R                 |    7 
 R/tapp.R                   |    2 
 R/values.R                 |   59 ++
 R/vect.R                   |   18 
 R/write.R                  |    4 
 R/zonal.R                  |    4 
 inst/tinytest/test_cats.R  |   19 
 man/arith-generic.Rd       |    4 
 man/as.data.frame.Rd       |    4 
 man/classify.Rd            |    7 
 man/click.Rd               |    5 
 man/compareGeom.Rd         |   15 
 man/crop.Rd                |    4 
 man/distance.Rd            |   25 -
 man/extract.Rd             |    7 
 man/factors.Rd             |   24 -
 man/inplace.Rd             |    1 
 man/is.bool.Rd             |   24 -
 man/lapp.Rd                |    5 
 man/lines.Rd               |    4 
 man/mask.Rd                |    8 
 man/merge.Rd               |    4 
 man/normalize.longitude.Rd |only
 man/plot.Rd                |    8 
 man/plotRGB.Rd             |    5 
 man/project.Rd             |   17 
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 man/relate.Rd              |   27 -
 man/resample.Rd            |    6 
 man/sample.Rd              |   42 --
 man/scoff.Rd               |only
 man/setValues.Rd           |    5 
 man/sources.Rd             |    1 
 man/subset.Rd              |    1 
 man/subst.Rd               |    3 
 man/vect.Rd                |    4 
 man/vrt.Rd                 |   10 
 man/where.Rd               |    8 
 man/writeRaster.Rd         |    2 
 src/RcppModule.cpp         |   71 ++-
 src/arith.cpp              |  151 +++++--
 src/distRaster.cpp         |  370 ++++++++++--------
 src/distance.cpp           |   11 
 src/distance.h             |    2 
 src/file_utils.cpp         |   99 +++-
 src/file_utils.h           |    2 
 src/focal.cpp              |  341 ----------------
 src/gdal_algs.cpp          |   67 ++-
 src/gdalio.cpp             |   16 
 src/geos_methods.cpp       |  905 +++++++++++++++++++++++++++++++++++++++------
 src/geos_spat.h            |    4 
 src/geosphere.cpp          |    2 
 src/raster_methods.cpp     |   77 ++-
 src/raster_stats.cpp       |    2 
 src/rasterize.cpp          |   10 
 src/read_gdal.cpp          |   29 +
 src/read_ogr.cpp           |   28 -
 src/recycle.h              |    6 
 src/sample.cpp             |   58 +-
 src/spatBase.cpp           |    7 
 src/spatBase.h             |    8 
 src/spatRaster.cpp         |  156 +++++++
 src/spatRaster.h           |   29 -
 src/spatRasterMultiple.h   |   27 +
 src/spatSources.cpp        |   36 +
 src/spatVector.cpp         |  130 ++++++
 src/spatVector.h           |   39 +
 src/vector_methods.cpp     |    2 
 src/write.cpp              |   86 ----
 src/write_gdal.cpp         |   81 ++--
 110 files changed, 3326 insertions(+), 1727 deletions(-)

More information about terra at CRAN
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Package sommer updated to version 4.2.0 with previous version 4.1.9 dated 2022-09-09

Title: Solving Mixed Model Equations in R
Description: Structural multivariate-univariate linear mixed model solver for estimation of multiple random effects with unknown variance-covariance structures (e.g., heterogeneous and unstructured) and known covariance among levels of random effects (e.g., pedigree and genomic relationship matrices) (Covarrubias-Pazaran, 2016 <doi:10.1371/journal.pone.0156744>; Maier et al., 2015 <doi:10.1016/j.ajhg.2014.12.006>). REML estimates can be obtained using the Direct-Inversion Newton-Raphson and Direct-Inversion Average Information algorithms for the problems r x r (r being the number of records) or using the mixed-model-equations-based average information algorithm for the problem c x c (c being the number of coefficients to estimate). Spatial models can also be fitted using the two-dimensional spline functionality available in sommer.
Author: Giovanny Covarrubias-Pazaran
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

Diff between sommer versions 4.1.9 dated 2022-09-09 and 4.2.0 dated 2022-09-10

 DESCRIPTION                               |    8 ++++----
 MD5                                       |   20 ++++++++++----------
 man/bivariateRun.Rd                       |   16 ++++++++--------
 man/vpredict.Rd                           |   10 +++++-----
 man/vsc.Rd                                |    2 +-
 vignettes/v1.sommer.quick.start.html      |   12 ++++++------
 vignettes/v2.sommer.changes.and.faqs.html |    4 ++--
 vignettes/v3.sommer.qg.html               |    4 ++--
 vignettes/v4.sommer.gxe.html              |    4 ++--
 vignettes/v5.sommer.vs.lme4.html          |    4 ++--
 vignettes/v6.sommer.spatial.html          |    4 ++--
 11 files changed, 44 insertions(+), 44 deletions(-)

More information about sommer at CRAN
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Package Matrix updated to version 1.5-0 with previous version 1.4-1 dated 2022-03-25

Title: Sparse and Dense Matrix Classes and Methods
Description: A rich hierarchy of matrix classes, including triangular, symmetric, and diagonal matrices, both dense and sparse and with pattern, logical and numeric entries. Numerous methods for and operations on these matrices, using 'LAPACK' and 'SuiteSparse' libraries.
Author: Douglas Bates [aut], Martin Maechler [aut, cre] , Mikael Jagan [aut] , Timothy A. Davis [ctb] )), Jens Oehlschlaegel [ctb] ), Jason Riedy [ctb] and onenormest for octave, Copyright: Regents of the University of California), R Core Team [ctb]
Maintainer: Martin Maechler <mmaechler+Matrix@gmail.com>

Diff between Matrix versions 1.4-1 dated 2022-03-25 and 1.5-0 dated 2022-09-10

 DESCRIPTION                              |   49 
 MD5                                      |  563 ++---
 NAMESPACE                                |    6 
 R/AllClass.R                             |  813 +++-----
 R/Auxiliaries.R                          | 1071 +++++++---
 R/BunchKaufman.R                         |only
 R/CHMfactor.R                            |  222 --
 R/Csparse.R                              |  334 ++-
 R/HBMM.R                                 |   15 
 R/KhatriRao.R                            |   52 
 R/LU.R                                   |  192 +
 R/Math.R                                 |  416 ++--
 R/Matrix.R                               |  364 ++-
 R/MatrixFactorization.R                  |   13 
 R/Ops.R                                  |  429 ++--
 R/Rsparse.R                              |  143 -
 R/SparseM-conv.R                         |  135 -
 R/Summary.R                              |   18 
 R/Tsparse.R                              |  121 -
 R/bandSparse.R                           |   19 
 R/bind2.R                                |   67 
 R/chol.R                                 |only
 R/colSums.R                              |  175 -
 R/corMatrix.R                            |   48 
 R/dMatrix.R                              |    6 
 R/ddenseMatrix.R                         |  139 -
 R/denseMatrix.R                          |  628 +++++-
 R/determinant.R                          |only
 R/dgCMatrix.R                            |  133 -
 R/dgTMatrix.R                            |  132 -
 R/dgeMatrix.R                            |   87 
 R/diagMatrix.R                           |  913 +++++----
 R/dpoMatrix.R                            |  109 -
 R/dppMatrix.R                            |  120 -
 R/dsCMatrix.R                            |  169 -
 R/dsTMatrix.R                            |   21 
 R/dspMatrix.R                            |   68 
 R/dsparseMatrix.R                        |   75 
 R/dsyMatrix.R                            |  120 -
 R/dtCMatrix.R                            |   91 
 R/dtTMatrix.R                            |   19 
 R/dtpMatrix.R                            |   80 
 R/dtrMatrix.R                            |  104 -
 R/eigen.R                                |  195 -
 R/expm.R                                 |   84 
 R/graph-conv.R                           |only
 R/image.R                                |only
 R/indMatrix.R                            |  373 ++-
 R/is.na.R                                |only
 R/kronecker.R                            |   81 
 R/lMatrix.R                              |   83 
 R/ldenseMatrix.R                         |   59 
 R/lgCMatrix.R                            |   17 
 R/lgTMatrix.R                            |   37 
 R/lsCMatrix.R                            |   29 
 R/lsTMatrix.R                            |    9 
 R/lsparseMatrix.R                        |   23 
 R/ltCMatrix.R                            |   21 
 R/ltTMatrix.R                            |   11 
 R/ndenseMatrix.R                         |   32 
 R/ngCMatrix.R                            |    6 
 R/ngTMatrix.R                            |   46 
 R/nnzero.R                               |  165 -
 R/norm.R                                 |only
 R/not.R                                  |  150 -
 R/nsCMatrix.R                            |   24 
 R/nsTMatrix.R                            |    7 
 R/nsparseMatrix.R                        |   22 
 R/ntCMatrix.R                            |   26 
 R/ntTMatrix.R                            |   11 
 R/pMatrix.R                              |   97 
 R/packedMatrix.R                         |  112 +
 R/products.R                             |  260 +-
 R/qr.R                                   |only
 R/rcond.R                                |only
 R/solve.R                                |only
 R/spModels.R                             |  476 ++--
 R/sparseMatrix.R                         |  774 ++++---
 R/sparseQR.R                             |   85 
 R/sparseVector.R                         |  210 --
 R/symmetricMatrix.R                      |  207 --
 R/triangularMatrix.R                     |   87 
 R/unpackedMatrix.R                       |only
 R/which.R                                |only
 R/zzz.R                                  |  316 ++-
 TODO                                     |   10 
 build/partial.rdb                        |binary
 build/vignette.rds                       |binary
 inst/NEWS.Rd                             |  541 +++++
 inst/doc/Comparisons.R                   |    2 
 inst/doc/Comparisons.Rnw                 |    2 
 inst/doc/Comparisons.pdf                 |binary
 inst/doc/Design-issues.R                 |   24 
 inst/doc/Design-issues.Rnw               |   73 
 inst/doc/Design-issues.pdf               |binary
 inst/doc/Intro2Matrix.pdf                |binary
 inst/doc/Introduction.pdf                |binary
 inst/doc/sparseModels.pdf                |binary
 inst/test-tools-1.R                      |   23 
 inst/test-tools-Matrix.R                 |  116 -
 inst/test-tools.R                        |   12 
 man/BunchKaufman-methods.Rd              |   13 
 man/CAex.Rd                              |    7 
 man/CHMfactor-class.Rd                   |   22 
 man/Cholesky-class.Rd                    |   11 
 man/Cholesky.Rd                          |   25 
 man/CsparseMatrix-class.Rd               |   32 
 man/Diagonal.Rd                          |    2 
 man/Hilbert.Rd                           |    2 
 man/KNex.Rd                              |    4 
 man/KhatriRao.Rd                         |   39 
 man/LU-class.Rd                          |    4 
 man/Matrix-class.Rd                      |  122 -
 man/Matrix.Rd                            |   10 
 man/MatrixFactorization-class.Rd         |    9 
 man/RsparseMatrix-class.Rd               |   21 
 man/Schur-class.Rd                       |    3 
 man/Schur.Rd                             |   24 
 man/SparseM-conv.Rd                      |   40 
 man/Subassign-methods.Rd                 |  115 -
 man/TsparseMatrix-class.Rd               |   23 
 man/USCounties.Rd                        |    6 
 man/Xtrct-methods.Rd                     |   86 
 man/abIndex-class.Rd                     |   42 
 man/all-methods.Rd                       |   18 
 man/all.equal-methods.Rd                 |   17 
 man/atomicVector-class.Rd                |   14 
 man/band.Rd                              |  141 -
 man/bandSparse.Rd                        |    2 
 man/bdiag.Rd                             |    2 
 man/boolean-matprod.Rd                   |   82 
 man/cBind.Rd                             |    9 
 man/chol.Rd                              |   83 
 man/chol2inv-methods.Rd                  |   10 
 man/colSums.Rd                           |   80 
 man/compMatrix-class.Rd                  |    7 
 man/condest.Rd                           |    4 
 man/dMatrix-class.Rd                     |   69 
 man/ddenseMatrix-class.Rd                |   38 
 man/ddiMatrix-class.Rd                   |   60 
 man/denseMatrix-class.Rd                 |   61 
 man/dgCMatrix-class.Rd                   |   44 
 man/dgRMatrix-class.Rd                   |   19 
 man/dgTMatrix-class.Rd                   |   24 
 man/dgeMatrix-class.Rd                   |   47 
 man/diagU2N.Rd                           |   21 
 man/diagonalMatrix-class.Rd              |  219 --
 man/dmperm.Rd                            |    6 
 man/dpoMatrix-class.Rd                   |   74 
 man/drop0.Rd                             |    2 
 man/dsCMatrix-class.Rd                   |   51 
 man/dsRMatrix-class.Rd                   |   13 
 man/dsparseMatrix-class.Rd               |   18 
 man/dsyMatrix-class.Rd                   |   51 
 man/dtCMatrix-class.Rd                   |   42 
 man/dtRMatrix-class-def.Rd               |   13 
 man/dtpMatrix-class.Rd                   |   23 
 man/dtrMatrix-class.Rd                   |   33 
 man/expand.Rd                            |   13 
 man/expm.Rd                              |   18 
 man/externalFormats.Rd                   |    7 
 man/facmul.Rd                            |    6 
 man/forceSymmetric.Rd                    |   63 
 man/formatSparseM.Rd                     |    2 
 man/generalMatrix-class.Rd               |    7 
 man/graph2T.Rd                           |   18 
 man/image-methods.Rd                     |   17 
 man/indMatrix-class.Rd                   |   52 
 man/index-class.Rd                       |    2 
 man/invPerm.Rd                           |    2 
 man/is.na-methods.Rd                     |  107 -
 man/is.null.DN.Rd                        |   13 
 man/isSymmetric-methods.Rd               |  116 -
 man/isTriangular.Rd                      |  126 -
 man/kronecker-methods.Rd                 |   16 
 man/ldenseMatrix-class.Rd                |   22 
 man/ldiMatrix-class.Rd                   |   64 
 man/lgeMatrix-class.Rd                   |   18 
 man/lsparseMatrix-classes.Rd             |  169 +
 man/lsyMatrix-class.Rd                   |   30 
 man/ltrMatrix-class.Rd                   |   32 
 man/lu.Rd                                |   60 
 man/mat2triplet.Rd                       |    2 
 man/matrix-products.Rd                   |  447 ++--
 man/nMatrix-class.Rd                     |   24 
 man/ndenseMatrix-class.Rd                |   28 
 man/nearPD.Rd                            |    2 
 man/ngeMatrix-class.Rd                   |   14 
 man/nnzero.Rd                            |    9 
 man/norm.Rd                              |   19 
 man/nsparseMatrix-classes.Rd             |  187 +
 man/nsyMatrix-class.Rd                   |   35 
 man/ntrMatrix-class.Rd                   |   33 
 man/number-class.Rd                      |    2 
 man/pMatrix-class.Rd                     |   22 
 man/packedMatrix-class.Rd                |   86 
 man/printSpMatrix.Rd                     |    2 
 man/qr-methods.Rd                        |   11 
 man/rankMatrix.Rd                        |    8 
 man/rcond.Rd                             |   14 
 man/rep2abI.Rd                           |    2 
 man/replValue-class.Rd                   |    4 
 man/rleDiff-class.Rd                     |    2 
 man/rsparsematrix.Rd                     |    2 
 man/solve-methods.Rd                     |  170 -
 man/spMatrix.Rd                          |    2 
 man/sparse.model.matrix.Rd               |    8 
 man/sparseLU-class.Rd                    |    3 
 man/sparseMatrix-class.Rd                |   68 
 man/sparseMatrix.Rd                      |    2 
 man/sparseQR-class.Rd                    |   22 
 man/sparseVector-class.Rd                |  118 -
 man/symmetricMatrix-class.Rd             |    6 
 man/symmpart.Rd                          |   28 
 man/triangularMatrix-class.Rd            |   13 
 man/uniqTsparse.Rd                       |   16 
 man/unpack.Rd                            |  120 -
 man/unpackedMatrix-class.Rd              |only
 man/unused-classes.Rd                    |    5 
 man/updown.Rd                            |    5 
 man/wrld_1deg.Rd                         |    5 
 src/CHMfactor.c                          |    2 
 src/CHMfactor.h                          |    2 
 src/CHOLMOD/MatrixOps/t_cholmod_sdmult.c |    6 
 src/Csparse.c                            |  150 -
 src/Csparse.h                            |   86 
 src/Mutils.c                             | 3100 +++++++++++++++++++++++--------
 src/Mutils.h                             |  662 ++++--
 src/Syms.h                               |   16 
 src/TMatrix_as.c                         |   25 
 src/Tsparse.c                            |   17 
 src/Tsparse.h                            |    8 
 src/cs.c                                 |   39 
 src/cs_utils.c                           |   11 
 src/dense.c                              | 1202 ++++++++++--
 src/dense.h                              |   44 
 src/dgCMatrix.c                          |   41 
 src/dgCMatrix.h                          |   17 
 src/dgTMatrix.c                          |   12 
 src/dgTMatrix.h                          |    5 
 src/dgeMatrix.c                          |   78 
 src/dgeMatrix.h                          |   10 
 src/dpoMatrix.c                          |   72 
 src/dpoMatrix.h                          |    5 
 src/dppMatrix.c                          |   31 
 src/dppMatrix.h                          |    3 
 src/dsCMatrix.c                          |    8 
 src/dspMatrix.c                          |  128 -
 src/dspMatrix.h                          |   12 
 src/dsyMatrix.c                          |   96 
 src/dsyMatrix.h                          |   12 
 src/dtpMatrix.c                          |  125 -
 src/dtpMatrix.h                          |   17 
 src/dtrMatrix.c                          |   84 
 src/dtrMatrix.h                          |   17 
 src/factorizations.c                     |   57 
 src/init.c                               |  321 ++-
 src/ldense.c                             |   50 
 src/ldense.h                             |    9 
 src/packedMatrix.c                       | 1324 +++++++++----
 src/packedMatrix.h                       |   14 
 src/scripts/0get-SuiteSparse.sh          |    8 
 src/scripts/DEPS.mkf                     |    2 
 src/scripts/SOURCES_C.mkf                |    4 
 src/sparse.c                             |only
 src/sparse.h                             |only
 src/sparseQR.c                           |   12 
 src/t_gCMatrix_colSums.c                 |    6 
 src/t_matrix_to_Csp.c                    |    2 
 src/unpackedMatrix.c                     |only
 src/unpackedMatrix.h                     |only
 tests/Class+Meth.R                       |   65 
 tests/Simple.R                           |  303 ++-
 tests/bind.R                             |   18 
 tests/bind.Rout.save                     |   41 
 tests/dg_Matrix.R                        |   20 
 tests/dpo-test.R                         |   16 
 tests/dtpMatrix.R                        |   19 
 tests/factorizing.R                      |   67 
 tests/group-methods.R                    |  104 -
 tests/indexing.R                         |  104 -
 tests/indexing.Rout.save                 |  388 +--
 tests/matprod.R                          |  133 -
 tests/matr-exp.R                         |   10 
 tests/other-pkgs.R                       |   18 
 tests/packed-unpacked.R                  |only
 tests/spModel.matrix.R                   |   33 
 tests/symmDN.R                           |only
 tests/validObj.R                         |   21 
 tests/write-read.R                       |    6 
 vignettes/Comparisons.Rnw                |    2 
 vignettes/Design-issues.Rnw              |   73 
 292 files changed, 16648 insertions(+), 10547 deletions(-)

More information about Matrix at CRAN
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Package RcppArmadillo updated to version 0.11.2.4.0 with previous version 0.11.2.3.1 dated 2022-08-18

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'.
Author: Dirk Eddelbuettel, Romain Francois, Doug Bates, Binxiang Ni, and Conrad Sanderson
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppArmadillo versions 0.11.2.3.1 dated 2022-08-18 and 0.11.2.4.0 dated 2022-09-10

 ChangeLog                                      |   33 +++++
 DESCRIPTION                                    |    8 -
 MD5                                            |   38 +++---
 README.md                                      |   11 -
 configure                                      |   18 +--
 configure.ac                                   |    2 
 inst/NEWS.Rd                                   |   26 ++++
 inst/doc/RcppArmadillo-intro.pdf               |binary
 inst/doc/RcppArmadillo-sparseMatrix.pdf        |binary
 inst/include/RcppArmadilloForward.h            |   16 ++
 inst/include/armadillo_bits/Col_meat.hpp       |    2 
 inst/include/armadillo_bits/Cube_bones.hpp     |    3 
 inst/include/armadillo_bits/Cube_meat.hpp      |   18 ++-
 inst/include/armadillo_bits/Mat_bones.hpp      |    3 
 inst/include/armadillo_bits/Mat_meat.hpp       |   16 ++
 inst/include/armadillo_bits/Row_meat.hpp       |   10 -
 inst/include/armadillo_bits/arma_version.hpp   |    2 
 inst/include/armadillo_bits/compiler_setup.hpp |  140 +++++++++++++------------
 inst/include/armadillo_bits/injector_meat.hpp  |    4 
 src/fastLm.cpp                                 |   23 +---
 20 files changed, 234 insertions(+), 139 deletions(-)

More information about RcppArmadillo at CRAN
Permanent link

Package nestedcv updated to version 0.3.0 with previous version 0.2.3 dated 2022-07-07

Title: Nested Cross-Validation with 'glmnet' and 'caret'
Description: Implements nested k*l-fold cross-validation for lasso and elastic-net regularised linear models via the 'glmnet' package and other machine learning models via the 'caret' package. Cross-validation of 'glmnet' alpha mixing parameter and embedded fast filter functions for feature selection are provided. Described as double cross-validation by Stone (1977) <doi:10.1111/j.2517-6161.1977.tb01603.x>. Also implemented is a method using outer CV to measure unbiased model performance metrics when fitting Bayesian linear and logistic regression shrinkage models using the horseshoe prior over parameters to encourage a sparse model as described by Piironen & Vehtari (2017) <doi:10.1214/17-EJS1337SI>.
Author: Myles Lewis [aut, cre] , Athina Spiliopoulou [aut] , Katriona Goldmann [aut]
Maintainer: Myles Lewis <myles.lewis@qmul.ac.uk>

Diff between nestedcv versions 0.2.3 dated 2022-07-07 and 0.3.0 dated 2022-09-10

 DESCRIPTION             |   14 +--
 MD5                     |   45 ++++++----
 NAMESPACE               |   34 +++++++
 NEWS.md                 |   20 ++++
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Package meltr updated to version 1.0.1 with previous version 1.0.0 dated 2021-08-23

Title: Read Non-Rectangular Text Data
Description: The goal of 'meltr' is to provide a fast and friendly way to read non-rectangular data, such as ragged forms of csv (comma-separated values), tsv (tab-separated values), and fwf (fixed-width format) files.
Author: Hadley Wickham [aut], Duncan Garmonsway [aut, cre] , Jim Hester [aut] , RStudio [cph, fnd], https://github.com/mandreyel/ [cph]
Maintainer: Duncan Garmonsway <nacnudus@gmail.com>

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Package agvgd updated to version 0.1.2 with previous version 0.1.1 dated 2022-02-02

Title: An R Implementation of the 'Align-GVGD' Method
Description: 'Align-GVGD' ('A-GVGD') is a method to predict the impact of 'missense' substitutions based on the properties of amino acid side chains and protein multiple sequence alignments <doi:10.1136/jmg.2005.033878>. 'A-GVGD' is an extension of the original 'Grantham' distance to multiple sequence alignments. This package provides an alternative R implementation to the web version found on <http://agvgd.hci.utah.edu/>.
Author: Ramiro Magno [aut, cre] , Isabel Duarte [aut] , Ana-Teresa Maia [aut] , CINTESIS [cph, fnd]
Maintainer: Ramiro Magno <ramiro.magno@gmail.com>

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Package mdgc updated to version 0.1.6 with previous version 0.1.5 dated 2021-06-14

Title: Missing Data Imputation Using Gaussian Copulas
Description: Provides functions to impute missing values using Gaussian copulas for mixed data types as described by Christoffersen et al. (2021) <arXiv:2102.02642>. The method is related to Hoff (2007) <doi:10.1214/07-AOAS107> and Zhao and Udell (2019) <arXiv:1910.12845> but differs by making a direct approximation of the log marginal likelihood using an extended version of the Fortran code created by Genz and Bretz (2002) <doi:10.1198/106186002394> in addition to also support multinomial variables.
Author: Benjamin Christoffersen [cre, aut] , Alan Genz [cph], Frank Bretz [cph], Torsten Hothorn [cph], R-core [cph], Ross Ihaka [cph]
Maintainer: Benjamin Christoffersen <boennecd@gmail.com>

Diff between mdgc versions 0.1.5 dated 2021-06-14 and 0.1.6 dated 2022-09-10

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Package leiden updated to version 0.4.3 with previous version 0.4.2 dated 2022-05-10

Title: R Implementation of Leiden Clustering Algorithm
Description: Implements the 'Python leidenalg' module to be called in R. Enables clustering using the leiden algorithm for partition a graph into communities. See the 'Python' repository for more details: <https://github.com/vtraag/leidenalg> Traag et al (2018) From Louvain to Leiden: guaranteeing well-connected communities. <arXiv:1810.08473>.
Author: S. Thomas Kelly [aut, cre, trl], Vincent A. Traag [com]
Maintainer: S. Thomas Kelly <tomkellygenetics@gmail.com>

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Package fairml updated to version 0.7 with previous version 0.6.3 dated 2022-05-10

Title: Fair Models in Machine Learning
Description: Fair machine learning regression models which take sensitive attributes into account in model estimation. Currently implementing Komiyama et al. (2018) <http://proceedings.mlr.press/v80/komiyama18a/komiyama18a.pdf>, Zafar et al. (2019) <https://www.jmlr.org/papers/volume20/18-262/18-262.pdf> and my own approach that uses ridge regression to enforce fairness.
Author: Marco Scutari [aut, cre]
Maintainer: Marco Scutari <scutari@bnlearn.com>

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Package disastr.api (with last version 1.0.5) was removed from CRAN

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

2021-03-05 1.0.5
2021-02-09 1.0.4
2021-01-07 1.0.3
2021-01-06 1.0.2
2021-01-05 1.0.1

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Package poems (with last version 1.0.2) was removed from CRAN

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

2022-01-17 1.0.2
2021-03-29 1.0.1

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Package paleopop (with last version 2.1.2) was removed from CRAN

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

2021-10-14 2.1.2
2021-04-23 2.1.1
2021-04-22 2.1.0

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Package ggheatmap updated to version 2.2 with previous version 2.1 dated 2021-07-25

Title: Plot Heatmap
Description: The flexibility and excellence of 'ggplot2' is unquestionable, so many drawing tools basically need 'ggplot2' as the operating object. In order to develop a heatmap drawing system based on ggplot2, we developed this tool, mainly to solve the heatmap puzzle problem and the flexible connection between the heatmap and the 'ggplot2' object. The advantages of this tool are as follows: 1. More flexible label settings; 2. Realize the linkage of heatmap and 'ggplot2' drawing system, which is helpful for operations such as puzzles; 3. Simple and easy to operate; 4. Optimization of clustering tree visualization.
Author: Baiwei Luo [aut, cre]
Maintainer: Baiwei Luo <2734782653@qq.com>

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Package asylum updated to version 1.0.2 with previous version 1.0.1 dated 2021-09-06

Title: Data on Asylum and Resettlement for the UK
Description: Data on Asylum and Resettlement for the UK, provided by the Home Office <https://www.gov.uk/government/statistics/immigration-statistics-year-ending-june-2022>.
Author: Matthew Gwynfryn Thomas [cre, aut], Mike Page [aut], British Red Cross [cph]
Maintainer: Matthew Gwynfryn Thomas <matthewgthomas@gmail.com>

Diff between asylum versions 1.0.1 dated 2021-09-06 and 1.0.2 dated 2022-09-10

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Package RSQLite updated to version 2.2.17 with previous version 2.2.16 dated 2022-08-17

Title: SQLite Interface for R
Description: Embeds the SQLite database engine in R and provides an interface compliant with the DBI package. The source for the SQLite engine and for various extensions in a recent version is included. System libraries will never be consulted because this package relies on static linking for the plugins it includes; this also ensures a consistent experience across all installations.
Author: Kirill Mueller [aut, cre] , Hadley Wickham [aut], David A. James [aut], Seth Falcon [aut], D. Richard Hipp [ctb] , Dan Kennedy [ctb] , Joe Mistachkin [ctb] , SQLite Authors [ctb] , Liam Healy [ctb] , R Consortium [fnd], RStudio [cph]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Package ngramr updated to version 1.7.7 with previous version 1.7.5 dated 2022-01-08

Title: Retrieve and Plot Google n-Gram Data
Description: Retrieve and plot word frequencies through time from the "Google Ngram Viewer" <https://books.google.com/ngrams>.
Author: Sean Carmody [aut, cre, cph]
Maintainer: Sean Carmody <seancarmody@gmail.com>

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Package hBayesDM updated to version 1.2.0 with previous version 1.1.1 dated 2021-05-03

Title: Hierarchical Bayesian Modeling of Decision-Making Tasks
Description: Fit an array of decision-making tasks with computational models in a hierarchical Bayesian framework. Can perform hierarchical Bayesian analysis of various computational models with a single line of coding (Ahn et al., 2017) <doi:10.1162/CPSY_a_00002>.
Author: Woo-Young Ahn [aut, cre], Nate Haines [aut], Lei Zhang [aut], Harhim Park [ctb], Jaeyeong Yang [ctb], Jethro Lee [ctb]
Maintainer: Woo-Young Ahn <wooyoung.ahn@gmail.com>

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