Mon, 09 Mar 2026

New package rrobot with initial version 0.1.3
Package: rrobot
Title: Robust Outlier Detection for Diverse Distributions
Version: 0.1.3
Maintainer: Amanda Mejia <mandy.mejia@gmail.com>
Description: Provides robust outlier detection techniques for identifying anomalies in multivariate data, with a focus on methods that remain effective under non-Gaussian distributions. For more details see Saluja, Parlak, and Mejia (2026+) <doi:10.48550/arXiv.2505.11806>.
License: GPL-3
URL: https://github.com/mandymejia/rrobot
BugReports: https://github.com/mandymejia/rrobot/issues
Depends: R (>= 3.6.0)
Imports: MASS, stats, cellWise, expm, robustbase, gamlss, imputeTS, isotree, ggplot2, tidyr, reshape2, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-03-04 21:08:12 UTC; ddpham
Author: Amanda Mejia [aut, cre], Damon Pham [ctb] , Saranjeet Singh Saluja [ctb], Fatma Parlak [ctb], Zeshawn Zahid [ctb]
Repository: CRAN
Date/Publication: 2026-03-09 16:30:02 UTC

More information about rrobot at CRAN
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New package rformat with initial version 0.1.0
Package: rformat
Title: Base R Code Formatter
Version: 0.1.0
Description: A minimal R code formatter following base R style conventions. Formats R code with consistent spacing, indentation, and structure.
License: GPL-3
URL: https://github.com/cornball-ai/rformat
BugReports: https://github.com/cornball-ai/rformat/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: Rcpp
LinkingTo: Rcpp
Suggests: tinytest, simplermarkdown
VignetteBuilder: simplermarkdown
NeedsCompilation: yes
Packaged: 2026-03-05 02:46:29 UTC; troy
Author: Troy Hernandez [aut, cre] , Dirk Eddelbuettel [ctb]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-03-09 16:30:09 UTC

More information about rformat at CRAN
Permanent link

Package libopenexr readmission to version 3.4.4-1 with previous version 3.4.0-5 dated 2025-10-16

Title: Static Library and Headers for 'OpenEXR' Image I/O
Description: Provides the 'OpenEXR' static library and 'C++' headers for high-dynamic-range image I/O (see <https://openexr.com/>) needed to link R packages against the 'OpenEXR' library, along with a basic R interface to load 'EXR' images.
Author: Tyler Morgan-Wall [aut, cre] , Aaron Demolder [ctb, cph], Abe Fettig [ctb, cph], Aloys Baillet [ctb, cph], Andre Mazzone [ctb, cph], Andrew Kunz [ctb, cph], Anton Dukhovnikov [ctb, cph], Antonio Rojas [ctb, cph], Aras Pranckevicius [ctb, cph], Arkady [...truncated...]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

This is a re-admission after prior archival of version 3.4.0-5 dated 2025-10-16

Diff between libopenexr versions 3.4.0-5 dated 2025-10-16 and 3.4.4-1 dated 2026-03-09

 libopenexr-3.4.0-5/libopenexr/src/OpenEXR/src/lib/OpenEXR/b44ExpLogTable.cpp              |only
 libopenexr-3.4.0-5/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/dwaLookups.h                |only
 libopenexr-3.4.4-1/libopenexr/DESCRIPTION                                                 |    8 
 libopenexr-3.4.4-1/libopenexr/MD5                                                         |  375 
 libopenexr-3.4.4-1/libopenexr/inst/include/OpenEXR/IexConfig.h                            |    2 
 libopenexr-3.4.4-1/libopenexr/inst/include/OpenEXR/IexMacros.h                            |    3 
 libopenexr-3.4.4-1/libopenexr/inst/include/OpenEXR/IlmThreadConfig.h                      |    2 
 libopenexr-3.4.4-1/libopenexr/inst/include/OpenEXR/IlmThreadProcessGroup.h                |    4 
 libopenexr-3.4.4-1/libopenexr/inst/include/OpenEXR/ImfAttribute.h                         |    8 
 libopenexr-3.4.4-1/libopenexr/inst/include/OpenEXR/ImfBytesAttribute.h                    |only
 libopenexr-3.4.4-1/libopenexr/inst/include/OpenEXR/ImfCRgbaFile.h                         |    4 
 libopenexr-3.4.4-1/libopenexr/inst/include/OpenEXR/ImfCompression.h                       |    6 
 libopenexr-3.4.4-1/libopenexr/inst/include/OpenEXR/ImfHTCompressor.h                      |only
 libopenexr-3.4.4-1/libopenexr/inst/include/OpenEXR/ImfIDManifestAttribute.h               |    4 
 libopenexr-3.4.4-1/libopenexr/inst/include/OpenEXR/ImfMatrixAttribute.h                   |    8 
 libopenexr-3.4.4-1/libopenexr/inst/include/OpenEXR/ImfName.h                              |    6 
 libopenexr-3.4.4-1/libopenexr/inst/include/OpenEXR/ImfStandardAttributes.h                |   21 
 libopenexr-3.4.4-1/libopenexr/inst/include/OpenEXR/ImfVecAttribute.h                      |    8 
 libopenexr-3.4.4-1/libopenexr/inst/include/OpenEXR/OpenEXRConfig.h                        |   24 
 libopenexr-3.4.4-1/libopenexr/inst/include/OpenEXR/openexr_attr.h                         |   15 
 libopenexr-3.4.4-1/libopenexr/inst/include/OpenEXR/openexr_config.h                       |    6 
 libopenexr-3.4.4-1/libopenexr/inst/include/OpenEXR/openexr_part.h                         |   12 
 libopenexr-3.4.4-1/libopenexr/inst/include/OpenEXR/openexr_version.h                      |    4 
 libopenexr-3.4.4-1/libopenexr/src/Makevars.in                                             |   59 
 libopenexr-3.4.4-1/libopenexr/src/Makevars.win.in                                         |   89 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/CMakeLists.txt                                  |   13 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/cmake/CMakeLists.txt                            |    9 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/cmake/LibraryDefine.cmake                       |   33 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/cmake/OpenEXR.pc.in                             |    2 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/cmake/OpenEXRConfig.cmake.in                    |    4 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/cmake/OpenEXRConfig.h.in                        |   18 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/cmake/OpenEXRConfigInternal.h.in                |   13 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/cmake/OpenEXRSetup.cmake                        |  171 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/cmake/Toolchain-mingw.cmake                     |   28 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/cmake/cmake_uninstall.cmake.in                  |    5 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/external                                        |only
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/Iex/IexBaseExc.cpp                      |   18 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/Iex/IexMacros.h                         |    3 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/Iex/IexThrowErrnoExc.cpp                |    2 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/IlmThread/IlmThreadPool.cpp             |   47 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/IlmThread/IlmThreadProcessGroup.h       |    4 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/CMakeLists.txt                  |   64 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfAttribute.h                  |    8 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfBoxAttribute.cpp             |    4 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfBytesAttribute.cpp           |only
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfBytesAttribute.h             |only
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfCRgbaFile.cpp                |    2 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfCRgbaFile.h                  |    4 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfChannelListAttribute.cpp     |    4 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfChromaticities.cpp           |    2 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfChromaticitiesAttribute.cpp  |    4 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfCompression.cpp              |   14 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfCompression.h                |    6 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfCompressionAttribute.cpp     |    2 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfCompressor.cpp               |   17 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfContext.cpp                  |    9 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfContextInit.cpp              |    6 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfDeepImageStateAttribute.cpp  |    4 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfDeepScanLineInputFile.cpp    |    6 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfDoubleAttribute.cpp          |    4 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfEnvmapAttribute.cpp          |    4 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfFloatAttribute.cpp           |    4 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfFloatVectorAttribute.cpp     |    4 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfHTCompressor.cpp             |only
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfHTCompressor.h               |only
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfHeader.cpp                   |    2 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfIDManifestAttribute.cpp      |    4 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfIDManifestAttribute.h        |    4 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfInputPart.cpp                |    2 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfIntAttribute.cpp             |    4 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfKeyCodeAttribute.cpp         |    4 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfLineOrderAttribute.cpp       |    4 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfMatrixAttribute.cpp          |    4 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfMatrixAttribute.h            |    8 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfMisc.cpp                     |  104 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfName.h                       |    6 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfOpaqueAttribute.cpp          |    4 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfPreviewImageAttribute.cpp    |    4 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfRationalAttribute.cpp        |    4 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfScanLineInputFile.cpp        |    1 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfStandardAttributes.cpp       |    5 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfStandardAttributes.h         |   21 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfStdIO.cpp                    |   41 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfStringAttribute.cpp          |    4 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfStringVectorAttribute.cpp    |    4 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfTileDescriptionAttribute.cpp |    4 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfTimeCode.cpp                 |    4 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfTimeCodeAttribute.cpp        |    4 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfVecAttribute.cpp             |    4 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfVecAttribute.h               |    8 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/ImfZipCompressor.cpp            |    2 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXR/dwaLookups.cpp                  |   13 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/CMakeLists.txt              |   68 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/attributes.c                |   14 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/bytes.c                     |only
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/chunk.c                     |   77 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/compression.c               |   28 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/debug.c                     |    6 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/internal_attr.h             |    1 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/internal_b44.c              |    9 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/internal_b44_table.c        |14583 ----------
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/internal_b44_table_init.c   |only
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/internal_bytes.h            |only
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/internal_compress.h         |    8 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/internal_decompress.h       |   13 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/internal_dwa_compressor.h   |    9 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/internal_dwa_helpers.h      |    4 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/internal_dwa_table.c        |only
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/internal_dwa_table_init.c   |only
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/internal_ht.cpp             |only
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/internal_ht_common.cpp      |only
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/internal_ht_common.h        |only
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/internal_huf.c              |    2 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/internal_posix_file_impl.h  |   22 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/internal_rle.c              |    2 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/internal_structs.c          |   30 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/internal_structs.h          |   40 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/internal_thread.h           |only
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/internal_util.h             |    5 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/internal_zip.c              |   30 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/openexr_attr.h              |   15 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/openexr_config.h            |    6 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/openexr_part.h              |   12 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/openexr_version.h           |    4 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/parse_header.c              |   70 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/part_attr.c                 |  112 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/string.c                    |   32 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/unpack.c                    |  515 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRCore/write_header.c              |   27 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRUtil/ImfCheckFile.cpp            |   25 
 libopenexr-3.4.4-1/libopenexr/src/OpenEXR/src/lib/OpenEXRUtil/README                      |    3 
 libopenexr-3.4.4-1/libopenexr/src/r-api.cpp                                               |  128 
 libopenexr-3.4.4-1/libopenexr/tools/config.R                                              |  707 
 libopenexr-3.4.4-1/libopenexr/tools/config/configure.R                                    |  194 
 libopenexr-3.4.4-1/libopenexr/tools/search-replace.R                                      |   77 
 135 files changed, 2482 insertions(+), 15879 deletions(-)

More information about libopenexr at CRAN
Permanent link

New package fozziejoin with initial version 0.0.13
Package: fozziejoin
Title: Utilities for Joining Dataframes with Inexact Matching
Version: 0.0.13
Description: Provides functions for joining data frames based on inexact criteria, including string distance, Manhattan distance, Euclidean distance, and interval overlap. This API is designed as a modern, performance-oriented alternative to the 'fuzzyjoin' package (Robinson 2026) <doi:10.32614/CRAN.package.fuzzyjoin>. String distance functions utilizing 'q-grams' are adapted with permission from the 'textdistance' 'Rust' crate (Orsinium 2024) <https://docs.rs/textdistance/latest/textdistance/>. Other string distance calculations rely on the 'rapidfuzz' 'Rust' crate (Bachmann 2023) <https://docs.rs/rapidfuzz/0.5.0/rapidfuzz/>. Interval joins are backed by a Adelson-Velsky and Landis tree as implemented by the 'interavl' 'Rust' crate <https://docs.rs/interavl/0.5.0/interavl/>.
License: MIT + file LICENSE
Depends: R (>= 4.2)
Imports: stats, tibble, utils
Suggests: babynames, dplyr, fuzzyjoin, knitr, microbenchmark, qdapDictionaries, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
URL: https://github.com/fozzieverse/fozziejoin
BugReports: https://github.com/fozzieverse/fozziejoin/issues
SystemRequirements: Cargo (Rust's package manager), rustc, xz
NeedsCompilation: yes
Packaged: 2026-03-04 23:50:01 UTC; jon
Author: Jon Downs [aut, cre], The authors of the dependency Rust crates [ctb, cph]
Maintainer: Jon Downs <jon@jondowns.net>
Repository: CRAN
Date/Publication: 2026-03-09 16:20:02 UTC

More information about fozziejoin at CRAN
Permanent link

Package wrMisc updated to version 2.0.0 with previous version 1.15.4 dated 2025-06-18

Title: Analyze Experimental High-Throughput (Omics) Data
Description: The efficient treatment and convenient analysis of experimental high-throughput (omics) data gets facilitated through this collection of diverse functions. Several functions address advanced object-conversions, like manipulating lists of lists or lists of arrays, reorganizing lists to arrays or into separate vectors, merging of multiple entries, etc. Another set of functions provides speed-optimized calculation of standard deviation (sd), coefficient of variance (CV) or standard error of the mean (SEM) for data in matrixes or means per line with respect to additional grouping (eg n groups of replicates). A group of functions facilitate dealing with non-redundant information, by indexing unique, adding counters to redundant or eliminating lines with respect redundancy in a given reference-column, etc. Help is provided to identify very closely matching numeric values to generate (partial) distance matrixes for very big data in a memory efficient manner or to reduce the complexity of larg [...truncated...]
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

Diff between wrMisc versions 1.15.4 dated 2025-06-18 and 2.0.0 dated 2026-03-09

 wrMisc-1.15.4/wrMisc/man/dot-offCenter.Rd              |only
 wrMisc-2.0.0/wrMisc/DESCRIPTION                        |    8 
 wrMisc-2.0.0/wrMisc/MD5                                |  238 ++---
 wrMisc-2.0.0/wrMisc/NAMESPACE                          |    5 
 wrMisc-2.0.0/wrMisc/R/addBeforFileExtension.R          |   18 
 wrMisc-2.0.0/wrMisc/R/appendNR.R                       |    5 
 wrMisc-2.0.0/wrMisc/R/buildTree.R                      |   13 
 wrMisc-2.0.0/wrMisc/R/cbindNR.R                        |   23 
 wrMisc-2.0.0/wrMisc/R/checkUnitPrefix.R                |   10 
 wrMisc-2.0.0/wrMisc/R/checkVectLength.R                |    2 
 wrMisc-2.0.0/wrMisc/R/combineOverlapInfo.R             |   17 
 wrMisc-2.0.0/wrMisc/R/combineReplFromListToMatr.R      |    8 
 wrMisc-2.0.0/wrMisc/R/combineSingleT.R                 |   21 
 wrMisc-2.0.0/wrMisc/R/completeArrLst.R                 |   17 
 wrMisc-2.0.0/wrMisc/R/correctToUnique.R                |    2 
 wrMisc-2.0.0/wrMisc/R/correctWinPath.R                 |   21 
 wrMisc-2.0.0/wrMisc/R/countSameStartEnd.R              |   24 
 wrMisc-2.0.0/wrMisc/R/cutToNgrp.R                      |   17 
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Package wizaRdry updated to version 0.6.6 with previous version 0.6.5 dated 2026-03-04

Title: A Magical Framework for Collaborative & Reproducible Data Analysis
Description: A comprehensive data analysis framework for NIH-funded research that streamlines workflows for both data cleaning and preparing NIH Data Archive ('NDA') submission templates. Provides unified access to multiple data sources ('REDCap', 'MongoDB', 'Qualtrics', 'SQL', 'ORACLE') through interfaces to their APIs, with specialized functions for data cleaning, filtering, merging, and parsing. Features automatic validation, field harmonization, and memory-aware processing to enhance reproducibility in multi-site collaborative research as described in Mittal et al. (2021) <doi:10.20900/jpbs.20210011>.
Author: Joshua G. Kenney [aut, cre], Trevor F. Williams [aut], Minerva K. Pappu [aut], Michael J. Spilka [aut], Danielle N. Pratt [ctb], Victor J. Pokorny [ctb], Santiago Castiello de Obeso [ctb], Praveen Suthaharan [ctb], Christian R. Horgan [ctb]
Maintainer: Joshua G. Kenney <joshua.kenney@yale.edu>

Diff between wizaRdry versions 0.6.5 dated 2026-03-04 and 0.6.6 dated 2026-03-09

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Package popdemo updated to version 1.3-3 with previous version 1.3-2 dated 2025-04-11

Title: Demographic Modelling Using Projection Matrices
Description: Tools for modelling populations and demography using matrix projection models, with deterministic and stochastic model implementations. Includes population projection, indices of short- and long-term population size and growth, perturbation analysis, convergence to stability or stationarity, and diagnostic and manipulation tools.
Author: Iain Stott [aut, cre], Dave Hodgson [aut], Stuart Townley [aut], Stephen Ellner [ctb]
Maintainer: Iain Stott <iainmstott@gmail.com>

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Package PatientLevelPrediction updated to version 6.6.0 with previous version 6.5.1 dated 2025-10-15

Title: Develop Clinical Prediction Models Using the Common Data Model
Description: A user friendly way to create patient level prediction models using the Observational Medical Outcomes Partnership Common Data Model. Given a cohort of interest and an outcome of interest, the package can use data in the Common Data Model to build a large set of features. These features can then be used to fit a predictive model with a number of machine learning algorithms. This is further described in Reps (2017) <doi:10.1093/jamia/ocy032>.
Author: Egill Fridgeirsson [aut, cre], Jenna Reps [aut], Martijn Schuemie [aut], Marc Suchard [aut], Patrick Ryan [aut], Peter Rijnbeek [aut], Observational Health Data Science and Informatics [cph]
Maintainer: Egill Fridgeirsson <e.fridgeirsson@erasmusmc.nl>

Diff between PatientLevelPrediction versions 6.5.1 dated 2025-10-15 and 6.6.0 dated 2026-03-09

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 PatientLevelPrediction-6.6.0/PatientLevelPrediction/NAMESPACE                                                                  |    5 
 PatientLevelPrediction-6.6.0/PatientLevelPrediction/NEWS.md                                                                    |   27 
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 PatientLevelPrediction-6.6.0/PatientLevelPrediction/R/DataSplitting.R                                                          |   41 
 PatientLevelPrediction-6.6.0/PatientLevelPrediction/R/EvaluatePlp.R                                                            |   10 
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 PatientLevelPrediction-6.6.0/PatientLevelPrediction/R/ExistingSklearn.R                                                        |   76 
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 PatientLevelPrediction-6.6.0/PatientLevelPrediction/R/Glm.R                                                                    |  107 
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 PatientLevelPrediction-6.6.0/PatientLevelPrediction/R/ImportFromCsv.R                                                          |   18 
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 PatientLevelPrediction-6.6.0/PatientLevelPrediction/R/LightGBM.R                                                               |   64 
 PatientLevelPrediction-6.6.0/PatientLevelPrediction/R/Predict.R                                                                |   12 
 PatientLevelPrediction-6.6.0/PatientLevelPrediction/R/Recalibration.R                                                          |   76 
 PatientLevelPrediction-6.6.0/PatientLevelPrediction/R/RunMultiplePlp.R                                                         |    7 
 PatientLevelPrediction-6.6.0/PatientLevelPrediction/R/RunPlp.R                                                                 |    5 
 PatientLevelPrediction-6.6.0/PatientLevelPrediction/R/SaveLoadPlp.R                                                            |   63 
 PatientLevelPrediction-6.6.0/PatientLevelPrediction/R/SklearnClassifier.R                                                      | 1423 +++++++---
 PatientLevelPrediction-6.6.0/PatientLevelPrediction/R/SklearnToJson.R                                                          |   30 
 PatientLevelPrediction-6.6.0/PatientLevelPrediction/R/ThresholdSummary.R                                                       |    6 
 PatientLevelPrediction-6.6.0/PatientLevelPrediction/R/uploadToDatabase.R                                                       |   48 
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 PatientLevelPrediction-6.6.0/PatientLevelPrediction/README.md                                                                  |    5 
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 PatientLevelPrediction-6.6.0/PatientLevelPrediction/inst/doc/CreatingNetworkStudies.html                                       |    4 
 PatientLevelPrediction-6.6.0/PatientLevelPrediction/inst/doc/GISExample.html                                                   |    4 
 PatientLevelPrediction-6.6.0/PatientLevelPrediction/inst/doc/InstallationGuide.html                                            |    4 
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 PatientLevelPrediction-6.6.0/PatientLevelPrediction/man/createIterativeImputer.Rd                                              |    9 
 PatientLevelPrediction-6.6.0/PatientLevelPrediction/man/createModelDesign.Rd                                                   |    3 
 PatientLevelPrediction-6.6.0/PatientLevelPrediction/man/createSimpleImputer.Rd                                                 |    9 
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 PatientLevelPrediction-6.6.0/PatientLevelPrediction/man/createSklearnModel.Rd                                                  |    5 
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 PatientLevelPrediction-6.6.0/PatientLevelPrediction/man/fitPlp.Rd                                                              |   10 
 PatientLevelPrediction-6.6.0/PatientLevelPrediction/man/listCartesian.Rd                                                       |    2 
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 PatientLevelPrediction-6.6.0/PatientLevelPrediction/man/runPlp.Rd                                                              |    3 
 PatientLevelPrediction-6.6.0/PatientLevelPrediction/man/setAdaBoost.Rd                                                         |    5 
 PatientLevelPrediction-6.6.0/PatientLevelPrediction/man/setDecisionTree.Rd                                                     |    2 
 PatientLevelPrediction-6.6.0/PatientLevelPrediction/man/setMLP.Rd                                                              |    2 
 PatientLevelPrediction-6.6.0/PatientLevelPrediction/man/setNaiveBayes.Rd                                                       |    2 
 PatientLevelPrediction-6.6.0/PatientLevelPrediction/man/setRandomForest.Rd                                                     |    2 
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 PatientLevelPrediction-6.6.0/PatientLevelPrediction/man/setSVM.Rd                                                              |    2 
 PatientLevelPrediction-6.6.0/PatientLevelPrediction/tests/testthat/setup.R                                                     |   10 
 PatientLevelPrediction-6.6.0/PatientLevelPrediction/tests/testthat/test-LightGBM.R                                             |   92 
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 PatientLevelPrediction-6.6.0/PatientLevelPrediction/tests/testthat/test-evaluation.R                                           |   49 
 PatientLevelPrediction-6.6.0/PatientLevelPrediction/tests/testthat/test-existingModel.R                                        |   43 
 PatientLevelPrediction-6.6.0/PatientLevelPrediction/tests/testthat/test-fitting.R                                              |    1 
 PatientLevelPrediction-6.6.0/PatientLevelPrediction/tests/testthat/test-getCalibration.R                                       |    2 
 PatientLevelPrediction-6.6.0/PatientLevelPrediction/tests/testthat/test-helperfunctions.R                                      |   66 
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 PatientLevelPrediction-6.6.0/PatientLevelPrediction/tests/testthat/test-multiplePlp.R                                          |    4 
 PatientLevelPrediction-6.6.0/PatientLevelPrediction/tests/testthat/test-rclassifier.R                                          |   43 
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 PatientLevelPrediction-6.6.0/PatientLevelPrediction/tests/testthat/test-saveloadplp.R                                          |   10 
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 PatientLevelPrediction-6.6.0/PatientLevelPrediction/tests/testthat/test-sklearnJson.R                                          |   15 
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Package ordinalpattern updated to version 0.2.9 with previous version 0.2.8 dated 2026-03-06

Title: Tests Based on Ordinal Patterns
Description: Ordinal patterns describe the dynamics of a time series by looking at the ranks of subsequent observations. By comparing ordinal patterns of two times series, Schnurr (2014) <doi:10.1007/s00362-013-0536-8> defines a robust and non-parametric dependence measure: the ordinal pattern coefficient. Functions to calculate this and a method to detect a change in the pattern coefficient proposed in Schnurr and Dehling (2017) <doi:10.1080/01621459.2016.1164706> are provided. Furthermore, the package contains a function for calculating the ordinal pattern frequencies. Generalized ordinal patterns as proposed by Schnurr and Fischer (2022) <doi:10.1016/j.csda.2022.107472> are also considered.
Author: Alexander Duerre [aut], Svenja Fischer [ctb], Alexander Schnurr [aut], Angelika Silbernagel [aut, cre]
Maintainer: Angelika Silbernagel <silbernagel@hsu-hh.de>

Diff between ordinalpattern versions 0.2.8 dated 2026-03-06 and 0.2.9 dated 2026-03-09

 DESCRIPTION |    6 +++---
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More information about ordinalpattern at CRAN
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Package OneSampleMR updated to version 0.1.7 with previous version 0.1.6 dated 2025-05-21

Title: One Sample Mendelian Randomization and Instrumental Variable Analyses
Description: Useful functions for one-sample (individual level data) Mendelian randomization and instrumental variable analyses. The package includes implementations of; the Sanderson and Windmeijer (2016) <doi:10.1016/j.jeconom.2015.06.004> conditional F-statistic, the multiplicative structural mean model HernĂ¡n and Robins (2006) <doi:10.1097/01.ede.0000222409.00878.37>, and two-stage predictor substitution and two-stage residual inclusion estimators explained by Terza et al. (2008) <doi:10.1016/j.jhealeco.2007.09.009>.
Author: Tom Palmer [aut, cre] , Wes Spiller [aut] , Eleanor Sanderson [aut] , Nicolai Vitt [aut]
Maintainer: Tom Palmer <remlapmot@hotmail.com>

Diff between OneSampleMR versions 0.1.6 dated 2025-05-21 and 0.1.7 dated 2026-03-09

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 tests/testthat/test-fsw.R            |  182 ++++++--
 tests/testthat/test-msmm.R           |   63 ++
 tests/testthat/test-tsps.R           |   61 ++
 tests/testthat/test-tsri.R           |   84 +++
 vignettes/f-statistic-comparison.Rmd |   33 +
 20 files changed, 1731 insertions(+), 415 deletions(-)

More information about OneSampleMR at CRAN
Permanent link

Package soilassessment (with last version 0.3.1) was removed from CRAN

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

2026-02-22 0.3.1
2025-01-13 0.3.0

Permanent link
Package wrGraph updated to version 1.3.12 with previous version 1.3.11 dated 2025-08-21

Title: Graphics in the Context of Analyzing High-Throughput Data
Description: Additional options for making graphics in the context of analyzing high-throughput data are available here. This includes automatic segmenting of the current device (eg window) to accommodate multiple new plots, automatic checking for optimal location of legends in plots, small histograms to insert as legends, histograms re-transforming axis labels to linear when plotting log2-transformed data, a violin-plot <doi:10.1080/00031305.1998.10480559> function for a wide variety of input-formats, principal components analysis (PCA) <doi:10.1080/14786440109462720> with bag-plots <doi:10.1080/00031305.1999.10474494> to highlight and compare the center areas for groups of samples, generic MA-plots (differential- versus average-value plots) <doi:10.1093/nar/30.4.e15>, staggered count plots and generation of mouse-over interactive html pages.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

Diff between wrGraph versions 1.3.11 dated 2025-08-21 and 1.3.12 dated 2026-03-09

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 wrGraph-1.3.12/wrGraph/R/VolcanoPlotW.R               |  372 +++++++-----------
 wrGraph-1.3.12/wrGraph/R/addBagPlot.R                 |   37 +
 wrGraph-1.3.12/wrGraph/R/plotPCAw.R                   |   36 -
 wrGraph-1.3.12/wrGraph/R/profileAsClu.R               |    2 
 wrGraph-1.3.12/wrGraph/R/vioplotW.R                   |    2 
 wrGraph-1.3.12/wrGraph/build/vignette.rds             |binary
 wrGraph-1.3.12/wrGraph/inst/doc/wrGraphVignette1.R    |    8 
 wrGraph-1.3.12/wrGraph/inst/doc/wrGraphVignette1.Rmd  |   14 
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 wrGraph-1.3.12/wrGraph/man/MAplotW.Rd                 |   10 
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More information about wrGraph at CRAN
Permanent link

Package pins updated to version 1.4.2 with previous version 1.4.1 dated 2025-04-29

Title: Pin, Discover, and Share Resources
Description: Publish data sets, models, and other R objects, making it easy to share them across projects and with your colleagues. You can pin objects to a variety of "boards", including local folders (to share on a networked drive or with 'DropBox'), 'Posit Connect', 'AWS S3', and more.
Author: Julia Silge [cre, aut] , Hadley Wickham [aut] , Javier Luraschi [aut], Posit Software, PBC [cph, fnd]
Maintainer: Julia Silge <julia.silge@posit.co>

Diff between pins versions 1.4.1 dated 2025-04-29 and 1.4.2 dated 2026-03-09

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 pins-1.4.2/pins/R/board.R                                  |   13 
 pins-1.4.2/pins/R/board_azure.R                            |   64 ++-
 pins-1.4.2/pins/R/board_connect.R                          |  216 ++++------
 pins-1.4.2/pins/R/board_connect_bundle.R                   |   72 +++
 pins-1.4.2/pins/R/board_connect_server.R                   |   22 -
 pins-1.4.2/pins/R/board_connect_url.R                      |   42 --
 pins-1.4.2/pins/R/board_databricks.R                       |   50 +-
 pins-1.4.2/pins/R/board_folder.R                           |   22 -
 pins-1.4.2/pins/R/board_gcs.R                              |   74 ++-
 pins-1.4.2/pins/R/board_gdrive.R                           |   39 +
 pins-1.4.2/pins/R/board_kaggle.R                           |  144 ++++---
 pins-1.4.2/pins/R/board_ms365.R                            |   33 +
 pins-1.4.2/pins/R/board_s3.R                               |   90 ++--
 pins-1.4.2/pins/R/board_url.R                              |  113 +++--
 pins-1.4.2/pins/R/cache.R                                  |    4 
 pins-1.4.2/pins/R/legacy_azure.R                           |   14 
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 pins-1.4.2/pins/R/legacy_board_registry.R                  |   32 -
 pins-1.4.2/pins/R/legacy_datatxt.R                         |   44 +-
 pins-1.4.2/pins/R/legacy_dospaces.R                        |   17 
 pins-1.4.2/pins/R/legacy_gcloud.R                          |   22 -
 pins-1.4.2/pins/R/legacy_github.R                          |   65 ++-
 pins-1.4.2/pins/R/legacy_kaggle.R                          |   75 ++-
 pins-1.4.2/pins/R/legacy_local.R                           |    6 
 pins-1.4.2/pins/R/legacy_packages.R                        |    5 
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 pins-1.4.2/pins/R/pin-store-fetch.R                        |   10 
 pins-1.4.2/pins/R/pin-upload-download.R                    |   36 +
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 pins-1.4.2/pins/R/pins-package.R                           |    2 
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 pins-1.4.2/pins/R/testthat.R                               |   35 -
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 pins-1.4.2/pins/tests/testthat/_snaps/board_connect_url.md |    8 
 pins-1.4.2/pins/tests/testthat/_snaps/board_folder.md      |    4 
 pins-1.4.2/pins/tests/testthat/_snaps/board_url.md         |   24 -
 pins-1.4.2/pins/tests/testthat/_snaps/pin-read-write.md    |   33 +
 pins-1.4.2/pins/tests/testthat/_snaps/pin_info.md          |   53 +-
 pins-1.4.2/pins/tests/testthat/_snaps/pin_versions.md      |   11 
 pins-1.4.2/pins/tests/testthat/test-board_connect.R        |   42 --
 pins-1.4.2/pins/tests/testthat/test-board_connect_bundle.R |    7 
 pins-1.4.2/pins/tests/testthat/test-board_connect_server.R |   16 
 pins-1.4.2/pins/tests/testthat/test-board_connect_url.R    |   18 
 pins-1.4.2/pins/tests/testthat/test-board_folder.R         |   16 
 pins-1.4.2/pins/tests/testthat/test-board_s3.R             |    1 
 pins-1.4.2/pins/tests/testthat/test-board_url.R            |   97 ++--
 pins-1.4.2/pins/tests/testthat/test-pin-delete.R           |    8 
 pins-1.4.2/pins/tests/testthat/test-pin-read-write.R       |   41 +-
 pins-1.4.2/pins/tests/testthat/test-pin_info.R             |    4 
 pins-1.4.2/pins/tests/testthat/test-pin_search.R           |   18 
 pins-1.4.2/pins/tests/testthat/test-pin_versions.R         |    4 
 pins-1.4.2/pins/tests/testthat/test-utils.R                |   41 ++
 pins-1.4.2/pins/vignettes/connect-automate.txt             |   10 
 pins-1.4.2/pins/vignettes/customize-pins-metadata.Rmd      |    6 
 pins-1.4.2/pins/vignettes/managing-custom-formats.Rmd      |    6 
 pins-1.4.2/pins/vignettes/pins-update.Rmd                  |   14 
 pins-1.4.2/pins/vignettes/pins.Rmd                         |   44 +-
 pins-1.4.2/pins/vignettes/posit-connect.Rmd                |   16 
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 138 files changed, 2111 insertions(+), 1536 deletions(-)

More information about pins at CRAN
Permanent link

Package exactRankTests updated to version 0.8-36 with previous version 0.8-35 dated 2022-04-26

Title: Exact Distributions for Rank and Permutation Tests
Description: Computes exact conditional p-values and quantiles using an implementation of the Shift-Algorithm by Streitberg & Roehmel.
Author: Torsten Hothorn [aut, cre], Kurt Hornik [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between exactRankTests versions 0.8-35 dated 2022-04-26 and 0.8-36 dated 2026-03-09

 DESCRIPTION               |    8 ++++----
 MD5                       |   28 ++++++++++++++--------------
 data/ASAT.rda             |binary
 data/bloodp.rda           |binary
 data/ears.rda             |binary
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 inst/NEWS                 |    4 ++++
 tests/reg-tests.R         |    4 ++--
 tests/reg-tests.Rout.save |   16 ++++++++--------
 15 files changed, 32 insertions(+), 28 deletions(-)

More information about exactRankTests at CRAN
Permanent link

Package pleioh2g updated to version 0.1.2 with previous version 0.1.1 dated 2026-02-19

Title: Estimation of Pleiotropic Heritability from Genome-Wide Association Studies (GWAS) Summary Statistics
Description: Provides tools to compute unbiased pleiotropic heritability estimates of complex diseases from genome-wide association studies (GWAS) summary statistics. We estimate pleiotropic heritability from GWAS summary statistics by estimating the proportion of variance explained from an estimated genetic correlation matrix (Bulik-Sullivan et al. 2015 <doi:10.1038/ng.3406>) and employing a Monte-Carlo bias correction procedure to account for sampling noise in genetic correlation estimates.
Author: Yujie Zhao [aut, cre]
Maintainer: Yujie Zhao <yujiezhao@hsph.harvard.edu>

Diff between pleioh2g versions 0.1.1 dated 2026-02-19 and 0.1.2 dated 2026-03-09

 DESCRIPTION                  |    6 +++---
 MD5                          |    4 ++--
 R/pruning_pleioh2g_wrapper.R |   13 ++++++-------
 3 files changed, 11 insertions(+), 12 deletions(-)

More information about pleioh2g at CRAN
Permanent link

Package deltatest updated to version 0.2.0 with previous version 0.1.0 dated 2025-03-03

Title: Statistical Hypothesis Testing Using the Delta Method
Description: Statistical hypothesis testing using the Delta method as proposed by Deng et al. (2018) <doi:10.1145/3219819.3219919>. This method replaces the standard variance estimation formula in the Z-test with an approximate formula derived via the Delta method, which can account for within-user correlation.
Author: Koji Makiyama [aut, cre, cph], Kazuyuki Sano [ctb, wdc], Shinichi Takayanagi [med], Daisuke Ichikawa [exp], LY Corporation Analytics Solution Enhancement Team [spn]
Maintainer: Koji Makiyama <hoxo.smile@gmail.com>

Diff between deltatest versions 0.1.0 dated 2025-03-03 and 0.2.0 dated 2026-03-09

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 MD5                                                 |   24 ++---
 NAMESPACE                                           |   30 +++---
 NEWS.md                                             |    8 +
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More information about deltatest at CRAN
Permanent link

Package SHARK4R updated to version 1.1.0 with previous version 1.0.3 dated 2026-01-14

Title: Accessing and Validating Marine Environmental Data from 'SHARK' and Related Databases
Description: Provides functions to retrieve, process, analyze, and quality-control marine physical, chemical, and biological data. The main focus is on Swedish monitoring data available through the 'SHARK' database <https://shark.smhi.se/en/>, with additional API support for 'Nordic Microalgae' <https://nordicmicroalgae.org/>, 'Dyntaxa' <https://artfakta.se/>, World Register of Marine Species ('WoRMS') <https://www.marinespecies.org>, 'AlgaeBase' <https://www.algaebase.org>, OBIS 'xylookup' web service <https://iobis.github.io/xylookup/> and Intergovernmental Oceanographic Commission (IOC) - UNESCO databases on harmful algae <https://www.marinespecies.org/hab/> and toxins <https://toxins.hais.ioc-unesco.org/>.
Author: Markus Lindh [aut] , Anders Torstensson [aut, cre] , Mikael Hedblom [ctb] , Bengt Karlson [ctb] , SHARK [cph], SBDI [fnd]
Maintainer: Anders Torstensson <anders.torstensson@smhi.se>

Diff between SHARK4R versions 1.0.3 dated 2026-01-14 and 1.1.0 dated 2026-03-09

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 MD5                                           |  187 ++++++------
 NAMESPACE                                     |    3 
 NEWS.md                                       |   35 ++
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 R/xylookup.R                                  |    6 
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 man/get_shark_options.Rd                      |    8 
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 man/get_worms_taxonomy_tree.Rd                |   10 
 man/ifcb_is_near_land.Rd                      |    4 
 man/load_shark4r_fields.Rd                    |    6 
 man/load_shark4r_stats.Rd                     |    8 
 man/lookup_xy.Rd                              |    6 
 man/match_worms_taxa.Rd                       |   10 
 man/nominal_station.Rd                        |    2 
 man/positions_are_near_land.Rd                |    4 
 man/update_worms_taxonomy.Rd                  |    4 
 tests/testthat/test-check_codes.R             |    4 
 tests/testthat/test-check_depth.R             |    7 
 tests/testthat/test-check_logical.R           |   23 +
 tests/testthat/test-check_onland.R            |    7 
 tests/testthat/test-dyntaxa_api_functions.R   |   15 +
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Package pQTLdata updated to version 0.6 with previous version 0.5 dated 2025-03-07

Title: A Collection of Proteome Panels and Metadata
Description: It aggregates protein panel data and metadata for protein quantitative trait locus (pQTL) analysis using 'pQTLtools' (<https://jinghuazhao.github.io/pQTLtools/>). The package includes data from affinity-based panels such as 'Olink' (<https://olink.com/>) and 'SomaScan' (<https://somalogic.com/>), as well as mass spectrometry-based panels from 'CellCarta' (<https://cellcarta.com/>), 'Seer' (<https://seer.bio/>) and 'SWATH-MS' (<doi:10.15252/msb.20178126>). The metadata encompasses updated annotations and publication details.
Author: Jing Hua Zhao [aut, cre] , Uwe Ligges [ctb], Benjamin Altmann [ctb], Brian Ripley [ctb]
Maintainer: Jing Hua Zhao <jinghuazhao@hotmail.com>

Diff between pQTLdata versions 0.5 dated 2025-03-07 and 0.6 dated 2026-03-09

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Package multcomp updated to version 1.4-30 with previous version 1.4-29 dated 2025-10-20

Title: Simultaneous Inference in General Parametric Models
Description: Simultaneous tests and confidence intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models. The package includes demos reproducing analyzes presented in the book "Multiple Comparisons Using R" (Bretz, Hothorn, Westfall, 2010, CRC Press).
Author: Torsten Hothorn [aut, cre] , Frank Bretz [aut], Peter Westfall [aut], Richard M. Heiberger [ctb], Andre Schuetzenmeister [ctb], Susan Scheibe [ctb], Christian Ritz [ctb], Christian B. Pipper [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between multcomp versions 1.4-29 dated 2025-10-20 and 1.4-30 dated 2026-03-09

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Package diemr updated to version 1.5.4 with previous version 1.5.3 dated 2026-01-13

Title: Genome Polarization via Diagnostic Index Expectation Maximization
Description: Implements a likelihood-based method for genome polarization, identifying which alleles of SNV markers belong to either side of a barrier to gene flow. The approach co-estimates individual assignment, barrier strength, and divergence between sides, with direct application to studies of hybridization. Includes VCF-to-diem conversion and input checks, support for mixed ploidy and parallelization, and tools for visualization and diagnostic outputs. Based on diagnostic index expectation maximization as described in Baird et al. (2023) <doi:10.1111/2041-210X.14010>.
Author: Natalia Martinkova [aut, cre] , Stuart Baird [aut]
Maintainer: Natalia Martinkova <martinkova@ivb.cz>

Diff between diemr versions 1.5.3 dated 2026-01-13 and 1.5.4 dated 2026-03-09

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New package ROBOSRMSMOTE with initial version 1.0.0
Package: ROBOSRMSMOTE
Title: Robust Oversampling with RM-SMOTE for Imbalanced Classification
Version: 1.0.0
Date: 2026-03-04
Description: Provides the ROBOSRMSMOTE (Robust Oversampling with RM-SMOTE) framework for imbalanced classification tasks. This package extends Mahalanobis distance-based oversampling techniques by integrating robust covariance estimators to better handle outliers and complex data distributions. The implemented methodology builds upon and significantly expands the RM-SMOTE algorithm originally proposed by Taban et al. (2025) <doi:10.1007/s10260-025-00819-8>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: rrcov (>= 1.7.0), meanShiftR (>= 0.56), stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-03-04 17:25:24 UTC; root
Author: Emre Dunder [aut], Mehmet Ali Cengiz [aut], Zainab Subhi Mahmood Hawrami [aut, cre], Abdulmohsen Alharthi [aut]
Maintainer: Zainab Subhi Mahmood Hawrami <zaianbsubhi@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-09 11:20:08 UTC

More information about ROBOSRMSMOTE at CRAN
Permanent link

New package restrictR with initial version 0.1.0
Package: restrictR
Title: Composable Runtime Contracts for R
Version: 0.1.0
Description: Build reusable validators from small building blocks using the base pipe operator. Define runtime contracts once with 'restrict()' and enforce them anywhere in code. Validators compose naturally, support dependent rules via formulas, and produce clear, path-aware error messages. No DSL, no operator overloading, just idiomatic R.
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
URL: https://gillescolling.com/restrictR/, https://github.com/gcol33/restrictR
BugReports: https://github.com/gcol33/restrictR/issues
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown, svglite, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-04 15:39:24 UTC; Gilles Colling
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-09 11:20:02 UTC

More information about restrictR at CRAN
Permanent link

Package ggpointless updated to version 0.2.0 with previous version 0.1.0 dated 2024-02-08

Title: Extra Geometries and Stats for 'ggplot2'
Description: A collection of layers for 'ggplot2'.
Author: Markus Doering [aut, cre, cph]
Maintainer: Markus Doering <m4rkus.doering@gmail.com>

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Permanent link

New package cdnbcr with initial version 1.1.1
Package: cdnbcr
Title: Correlated Destructive Negative Binomial Cure Rate Model
Version: 1.1.1
Maintainer: Rodrigo M. R. de Medeiros <rodrigo.matheus@ufrn.br>
Description: Provides tools for modeling time-to-event data with a cure fraction under correlated destructive negative binomial cure rate models. The models assume multiple latent competing causes with possible dependence and allow for elimination (inactivation) of some initial causes. Estimation is performed via an Expectation-Maximization algorithm, and diagnostic tools based on Cox-Snell residuals are provided.
Encoding: UTF-8
LazyData: true
URL: https://github.com/rdmatheus/cdnbcr
BugReports: https://github.com/rdmatheus/cdnbcr/issues
Suggests: survival, testthat (>= 3.0.0)
Imports: Formula (>= 1.2.4), pracma (>= 2.3.3)
Depends: R (>= 3.5)
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2026-03-04 13:19:07 UTC; rodri
Author: Rodrigo M. R. de Medeiros [aut, cre, cph] , Diego Gallardo [aut]
Repository: CRAN
Date/Publication: 2026-03-09 11:10:02 UTC

More information about cdnbcr at CRAN
Permanent link

New package BEMPdata with initial version 0.2.1
Package: BEMPdata
Title: Access the Bangladesh Environmental Mobility Panel Dataset
Version: 0.2.1
Description: Provides functions to download and work with the Bangladesh Environmental Mobility Panel (BEMP), a household panel survey tracing the impacts of riverbank erosion and flooding on (im)mobility, socio-economic outcomes, and political attitudes along the Jamuna River in Bangladesh (2021-2024). Wave datasets (20 files across 14 survey rounds) are hosted on Zenodo (<https://zenodo.org/records/18229498>) and downloaded on demand with local caching. Bundled data include a merged cross-wave codebook and wave metadata.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: utils, tools, readr, haven, shiny
Suggests: bslib, DT, ggplot2, dplyr, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/janfreihardt/BEMPdata
BugReports: https://github.com/janfreihardt/BEMPdata/issues
NeedsCompilation: no
Packaged: 2026-03-04 12:30:59 UTC; fjan
Author: Jan Freihardt [aut, cre]
Maintainer: Jan Freihardt <fjan@ethz.ch>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-03-09 11:10:08 UTC

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Package stabiliser updated to version 1.0.7 with previous version 1.0.6 dated 2023-05-17

Title: Stabilising Variable Selection
Description: A stable approach to variable selection through stability selection and the use of a permutation-based objective stability threshold. Lima et al (2021) <doi:10.1038/s41598-020-79317-8>, Meinshausen and Buhlmann (2010) <doi:10.1111/j.1467-9868.2010.00740.x>.
Author: Robert Hyde [aut, cre] , Eliana Lima [aut], Matthew Barden [aut], Kate Lewis [aut], Martin Green [aut]
Maintainer: Robert Hyde <robert.hyde4@nottingham.ac.uk>

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Package rclsp updated to version 0.5.0 with previous version 0.4.0 dated 2026-02-19

Title: A Modular Two-Step Convex Optimization Estimator for Ill-Posed Problems
Description: Convex Least Squares Programming (CLSP) is a two-step estimator for solving underdetermined, ill-posed, or structurally constrained least-squares problems. It combines pseudoinverse-based estimation with convex-programming correction methods inspired by Lasso, Ridge, and Elastic Net to ensure numerical stability, constraint enforcement, and interpretability. The package also provides numerical stability analysis and CLSP-specific diagnostics, including partial R^2, normalized RMSE (NRMSE), Monte Carlo t-tests for mean NRMSE, and condition-number-based confidence bands.
Author: Ilya Bolotov [aut, cre]
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>

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Package kardl updated to version 1.1.0 with previous version 0.1.1 dated 2025-10-09

Title: Make Symmetric and Asymmetric ARDL Estimations
Description: Implements estimation procedures for Autoregressive Distributed Lag (ARDL) and Nonlinear ARDL (NARDL) models, which allow researchers to investigate both short- and long-run relationships in time series data under mixed orders of integration. The package supports simultaneous modeling of symmetric and asymmetric regressors, flexible treatment of short-run and long-run asymmetries, and automated equation handling. It includes several cointegration testing approaches such as the Pesaran-Shin-Smith F and t bounds tests, and the restricted ECM test. Methodological foundations are provided in Pesaran, Shin, and Smith (2001) <doi:10.1016/S0304-4076(01)00049-5> and Shin, Yu, and Greenwood-Nimmo (2014, ISBN:9780123855079).
Author: Huseyin Karamelikli [aut, cre] , Huseyin Utku Demir [aut]
Maintainer: Huseyin Karamelikli <hakperest@gmail.com>

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New package eClosure with initial version 0.9.2
Package: eClosure
Title: Methods Based on the e-Closure Principle
Version: 0.9.2
Maintainer: Jelle Goeman <j.j.goeman@lumc.nl>
Description: Implements several methods for False Discovery Rate control based on the e-Closure Principle, in particular the Closed e-Benjamini-Hochberg and Closed Benjamini-Yekutieli procedures.
License: GPL-3
Imports: Rcpp
LinkingTo: Rcpp
NeedsCompilation: yes
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Packaged: 2026-03-04 11:36:41 UTC; jjgoeman
Author: Jelle Goeman [aut, cre]
Repository: CRAN
Date/Publication: 2026-03-09 11:00:09 UTC

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New package cforecast with initial version 0.1.0
Package: cforecast
Title: Conditional Forecasting and Scenario Analysis Using VAR Models
Version: 0.1.0
Maintainer: Tim Ginker <tim.ginker@gmail.com>
Description: Provides tools for conducting scenario analysis in reduced-form vector autoregressive (VAR) models. Implements a Kalman filtering framework to generate forecasts under path restrictions on selected variables. The package enables decomposition of conditional forecasts into variable-specific contributions, and extraction of observation weights. It also computes measures of overall and marginal variable importance to enhance the economic interpretation of forecast revisions. The framework is structurally agnostic and suited for policy analysis, stress testing, and macro-financial applications. The methodology is described in more detail in Caspi and Ginker (2026) <doi:10.13140/RG.2.2.25225.51040>.
Depends: R (>= 3.5.0)
Imports: BVAR, dplyr, FKF, miscTools, tibble, vars, utils, methods, wex
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://github.com/timginker/cforecast
BugReports: https://github.com/timginker/cforecast/issues
NeedsCompilation: no
Packaged: 2026-03-04 11:09:48 UTC; timgi
Author: Tim Ginker [aut, cre]
Repository: CRAN
Date/Publication: 2026-03-09 11:00:15 UTC

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Package adbcdrivermanager updated to version 0.22.0-1 with previous version 0.22.0 dated 2026-01-21

Title: 'Arrow' Database Connectivity ('ADBC') Driver Manager
Description: Provides a developer-facing interface to 'Arrow' Database Connectivity ('ADBC') for the purposes of driver development, driver testing, and building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

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Package kst updated to version 0.5-5 with previous version 0.5-4 dated 2022-10-24

Title: Knowledge Space Theory
Description: Knowledge space theory by Doignon and Falmagne (1999) <doi:10.1007/978-3-642-58625-5> is a set- and order-theoretical framework, which proposes mathematical formalisms to operationalize knowledge structures in a particular domain. The 'kst' package provides basic functionalities to generate, handle, and manipulate knowledge structures and knowledge spaces.
Author: Christina Stahl [aut], David Meyer [aut], Cord Hockemeyer [aut, cre]
Maintainer: Cord Hockemeyer <cord.hockemeyer@uni-graz.at>

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Package shinyWidgets updated to version 0.9.1 with previous version 0.9.0 dated 2025-02-21

Title: Custom Inputs Widgets for Shiny
Description: Collection of custom input controls and user interface components for 'Shiny' applications. Give your applications a unique and colorful style !
Author: Victor Perrier [aut, cre, cph], Fanny Meyer [aut], David Granjon [aut], Ian Fellows [ctb] , Wil Davis [ctb] , Spencer Matthews [ctb] , JavaScript and CSS libraries authors [ctb, cph]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

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Package RcppML updated to version 0.3.7.1 with previous version 0.3.7 dated 2021-09-21

Title: Rcpp Machine Learning Library
Description: Fast machine learning algorithms including matrix factorization and divisive clustering for large sparse and dense matrices.
Author: Zachary DeBruine [aut, cre]
Maintainer: Zachary DeBruine <zacharydebruine@gmail.com>

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Package fairml updated to version 0.9.1 with previous version 0.9 dated 2025-04-29

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 from Scutari, Panero and Proissl (2022) <doi:10.1007/s11222-022-10143-w> that uses ridge regression to enforce fairness.
Author: Marco Scutari [aut, cre]
Maintainer: Marco Scutari <scutari@bnlearn.com>

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Package shiny.reglog (with last version 0.5.2) was removed from CRAN

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

2022-08-30 0.5.2
2022-03-25 0.5.0
2021-10-28 0.4.1
2021-07-14 0.2.0.2

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

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

2021-11-06 1.1
2021-11-03 1.0

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Package scModels (with last version 1.0.4) was removed from CRAN

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

2023-01-24 1.0.4
2022-03-29 1.0.3

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Package neuroSCC (with last version 1.0.0) was removed from CRAN

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2025-03-27 1.0.0

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Package wowa (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:

2022-05-24 1.0.2
2021-02-05 1.0.1

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Package mapsFinland (with last version 0.2.2) was removed from CRAN

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

2023-04-11 0.2.2
2023-01-13 0.2.1
2023-01-12 0.2.0
2020-04-02 0.1.1
2020-03-21 0.1.0

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Package contoureR (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:

2015-08-25 1.0.5
2015-08-22 1.0.1

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Package nisrarr (with last version 0.1.1) was removed from CRAN

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

2025-06-06 0.1.1
2025-06-04 0.1.0

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Package BayesianLasso (with last version 0.3.6) was removed from CRAN

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

2025-10-29 0.3.6
2025-07-28 0.3.5

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Package NonCompart updated to version 0.7.1 with previous version 0.7.0 dated 2023-11-15

Title: Noncompartmental Analysis for Pharmacokinetic Data
Description: Conduct a noncompartmental analysis with industrial strength. Some features are 1) Use of CDISC SDTM terms 2) Automatic or manual slope selection 3) Supporting both 'linear-up linear-down' and 'linear-up log-down' method 4) Interval(partial) AUCs with 'linear' or 'log' interpolation method * Reference: Gabrielsson J, Weiner D. Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications. 5th ed. 2016. (ISBN:9198299107).
Author: Kyun-Seop Bae [aut, cre]
Maintainer: Kyun-Seop Bae <k@acr.kr>

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Package nanotime updated to version 0.3.13 with previous version 0.3.12 dated 2025-04-02

Title: Nanosecond-Resolution Time Support for R
Description: Full 64-bit resolution date and time functionality with nanosecond granularity is provided, with easy transition to and from the standard 'POSIXct' type. Three additional classes offer interval, period and duration functionality for nanosecond-resolution timestamps.
Author: Dirk Eddelbuettel [aut, cre] , Leonardo Silvestri [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package didimputation updated to version 0.5.1 with previous version 0.5.0 dated 2025-12-17

Title: Imputation Estimator from Borusyak, Jaravel, and Spiess (2021)
Description: Estimates Two-way Fixed Effects difference-in-differences/event-study models using the imputation-based approach proposed by Borusyak, Jaravel, and Spiess (2021).
Author: Kyle Butts [aut, cre]
Maintainer: Kyle Butts <buttskyle96@gmail.com>

Diff between didimputation versions 0.5.0 dated 2025-12-17 and 0.5.1 dated 2026-03-09

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