Wed, 08 Jul 2026

Package semhelpinghands updated to version 0.1.15 with previous version 0.1.14 dated 2026-02-10

Title: Helper Functions for Structural Equation Modeling
Description: An assortment of helper functions for doing structural equation modeling, mainly by 'lavaan' for now. Most of them are time-saving functions for common tasks in doing structural equation modeling and reading the output. This package is not for functions that implement advanced statistical procedures. It is a light-weight package for simple functions that do simple tasks conveniently, with as few dependencies as possible.
Author: Shu Fai Cheung [aut, cre]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

Diff between semhelpinghands versions 0.1.14 dated 2026-02-10 and 0.1.15 dated 2026-07-08

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 15 files changed, 62 insertions(+), 34 deletions(-)

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Package pam updated to version 2.3.0 with previous version 2.2.1 dated 2026-04-30

Title: Fast and Efficient Processing of PAM Data
Description: Processing Chlorophyll Fluorescence & P700 Absorbance data. Four models are provided for the regression of Pi curves, which can be compared with each other in order to select the most suitable model for the data set. Control plots ensure the successful verification of each regression. Bundled output of alpha, ETRmax, Ik etc. enables fast and reliable further processing of the data.
Author: Julien Boehm [cre, aut] , Philipp Schrag [aut]
Maintainer: Julien Boehm <julien.boehm@uni-rostock.de>

Diff between pam versions 2.2.1 dated 2026-04-30 and 2.3.0 dated 2026-07-08

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 R/device_junior_pam.R                            |    2 
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 man/walsby_modified.Rd                           |    1 
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 66 files changed, 704 insertions(+), 668 deletions(-)

More information about pam at CRAN
Permanent link

Package OneSampleMR updated to version 0.1.8 with previous version 0.1.7 dated 2026-03-09

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 0.1.7 dated 2026-03-09 and 0.1.8 dated 2026-07-08

 DESCRIPTION                          |    9 
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 23 files changed, 848 insertions(+), 1131 deletions(-)

More information about OneSampleMR at CRAN
Permanent link

Package airGR updated to version 1.7.9 with previous version 1.7.8 dated 2025-12-12

Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling
Description: Hydrological modelling tools developed at INRAE-Antony (HYCAR Research Unit, France). The package includes several conceptual rainfall-runoff models (GR4H, GR5H, GR4J, GR5J, GR6J, GR2M, GR1A) that can be applied either on a lumped or semi-distributed way. A snow accumulation and melt model (CemaNeige) and the associated functions for the calibration and evaluation of models are also included. Use help(airGR) for package description and references.
Author: Laurent Coron [aut, trl] , Olivier Delaigue [aut, cre] , Guillaume Thirel [aut, ths] , David Dorchies [aut] , Charles Perrin [aut, ths] , Claude Michel [aut, ths], Vazken Andreassian [ctb, ths] , Francois Bourgin [ctb] , Pierre Brigode [ctb] , Nicola [...truncated...]
Maintainer: Olivier Delaigue <airGR@inrae.fr>

Diff between airGR versions 1.7.8 dated 2025-12-12 and 1.7.9 dated 2026-07-08

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 20 files changed, 468 insertions(+), 435 deletions(-)

More information about airGR at CRAN
Permanent link

Package freesurferformats updated to version 1.0.1 with previous version 1.0.0 dated 2025-09-08

Title: Read and Write 'FreeSurfer' Neuroimaging File Formats
Description: Provides functions to read and write neuroimaging data in various file formats, with a focus on 'FreeSurfer' <http://freesurfer.net/> formats. This includes, but is not limited to, the following file formats: 1) MGH/MGZ format files, which can contain multi-dimensional images or other data. Typically they contain time-series of three-dimensional brain scans acquired by magnetic resonance imaging (MRI). They can also contain vertex-wise measures of surface morphometry data. The MGH format is named after the Massachusetts General Hospital, and the MGZ format is a compressed version of the same format. 2) 'FreeSurfer' morphometry data files in binary 'curv' format. These contain vertex-wise surface measures, i.e., one scalar value for each vertex of a brain surface mesh. These are typically values like the cortical thickness or brain surface area at each vertex. 3) Annotation file format. This contains a brain surface parcellation derived from a cortical atlas. 4) Surface file forma [...truncated...]
Author: Tim Schaefer [aut, cre]
Maintainer: Tim Schaefer <ts+code@rcmd.org>

Diff between freesurferformats versions 1.0.0 dated 2025-09-08 and 1.0.1 dated 2026-07-08

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 freesurferformats-1.0.1/freesurferformats/man/is.fs.volume.Rd                                |   34 
 freesurferformats-1.0.1/freesurferformats/man/is.mghheader.Rd                                |   34 
 freesurferformats-1.0.1/freesurferformats/man/linesplit.fixed.Rd                             |   52 
 freesurferformats-1.0.1/freesurferformats/man/list_opt_data.Rd                               |   28 
 freesurferformats-1.0.1/freesurferformats/man/m44_to_quaternion.Rd                           |only
 freesurferformats-1.0.1/freesurferformats/man/mgh.is.conformed.Rd                            |   40 
 freesurferformats-1.0.1/freesurferformats/man/mghheader.Rd                                   |   40 
 freesurferformats-1.0.1/freesurferformats/man/mghheader.centervoxelRAS.from.firstvoxelRAS.Rd |   38 
 freesurferformats-1.0.1/freesurferformats/man/mghheader.crs.orientation.Rd                   |   34 
 freesurferformats-1.0.1/freesurferformats/man/mghheader.is.conformed.Rd                      |   34 
 freesurferformats-1.0.1/freesurferformats/man/mghheader.is.ras.valid.Rd                      |   82 
 freesurferformats-1.0.1/freesurferformats/man/mghheader.primary.slice.direction.Rd           |   34 
 freesurferformats-1.0.1/freesurferformats/man/mghheader.ras2vox.Rd                           |   86 
 freesurferformats-1.0.1/freesurferformats/man/mghheader.ras2vox.tkreg.Rd                     |   86 
 freesurferformats-1.0.1/freesurferformats/man/mghheader.scanner2tkreg.Rd                     |   82 
 freesurferformats-1.0.1/freesurferformats/man/mghheader.tkreg2scanner.Rd                     |   82 
 freesurferformats-1.0.1/freesurferformats/man/mghheader.update.from.vox2ras.Rd               |   38 
 freesurferformats-1.0.1/freesurferformats/man/mghheader.vox2ras.Rd                           |   86 
 freesurferformats-1.0.1/freesurferformats/man/mghheader.vox2ras.tkreg.Rd                     |   86 
 freesurferformats-1.0.1/freesurferformats/man/mghheader.vox2vox.Rd                           |   38 
 freesurferformats-1.0.1/freesurferformats/man/mni152reg.Rd                                   |   40 
 freesurferformats-1.0.1/freesurferformats/man/mri_dtype_numbytes.Rd                          |   36 
 freesurferformats-1.0.1/freesurferformats/man/ni1header.for.data.Rd                          |   38 
 freesurferformats-1.0.1/freesurferformats/man/ni1header.template.Rd                          |   40 
 freesurferformats-1.0.1/freesurferformats/man/ni2header.for.data.Rd                          |   34 
 freesurferformats-1.0.1/freesurferformats/man/ni2header.template.Rd                          |   40 
 freesurferformats-1.0.1/freesurferformats/man/nifti.datadim.from.dimfield.Rd                 |   52 
 freesurferformats-1.0.1/freesurferformats/man/nifti.datadim.to.dimfield.Rd                   |   52 
 freesurferformats-1.0.1/freesurferformats/man/nifti.dtype.info.Rd                            |   40 
 freesurferformats-1.0.1/freesurferformats/man/nifti.dtypebitpix.info.from.mgh.dtype.Rd       |only
 freesurferformats-1.0.1/freesurferformats/man/nifti.field.check.length.Rd                    |   44 
 freesurferformats-1.0.1/freesurferformats/man/nifti.field.check.nchar.max.Rd                 |   44 
 freesurferformats-1.0.1/freesurferformats/man/nifti.file.uses.fshack.Rd                      |   40 
 freesurferformats-1.0.1/freesurferformats/man/nifti.file.version.Rd                          |   34 
 freesurferformats-1.0.1/freesurferformats/man/nifti.header.check.Rd                          |   38 
 freesurferformats-1.0.1/freesurferformats/man/nifti.space.info.Rd                            |   36 
 freesurferformats-1.0.1/freesurferformats/man/nifti.time.info.Rd                             |   36 
 freesurferformats-1.0.1/freesurferformats/man/nifti.transform.type.name.Rd                   |   36 
 freesurferformats-1.0.1/freesurferformats/man/nii1header.for.mgh.Rd                          |only
 freesurferformats-1.0.1/freesurferformats/man/parse.stl.ascii.face.Rd                        |   36 
 freesurferformats-1.0.1/freesurferformats/man/parse.transform.matrix.lines.Rd                |   40 
 freesurferformats-1.0.1/freesurferformats/man/ply.header.lines.Rd                            |   24 
 freesurferformats-1.0.1/freesurferformats/man/polygon.soup.to.indexed.mesh.Rd                |   40 
 freesurferformats-1.0.1/freesurferformats/man/print.fs.annot.Rd                              |   32 
 freesurferformats-1.0.1/freesurferformats/man/print.fs.label.Rd                              |   32 
 freesurferformats-1.0.1/freesurferformats/man/print.fs.patch.Rd                              |   32 
 freesurferformats-1.0.1/freesurferformats/man/print.fs.surface.Rd                            |   32 
 freesurferformats-1.0.1/freesurferformats/man/print.fs.volume.Rd                             |   32 
 freesurferformats-1.0.1/freesurferformats/man/ras.to.surfaceras.Rd                           |   48 
 freesurferformats-1.0.1/freesurferformats/man/ras.to.talairachras.Rd                         |   48 
 freesurferformats-1.0.1/freesurferformats/man/read.dti.tck.Rd                                |   48 
 freesurferformats-1.0.1/freesurferformats/man/read.dti.trk.Rd                                |   55 
 freesurferformats-1.0.1/freesurferformats/man/read.dti.tsf.Rd                                |   54 
 freesurferformats-1.0.1/freesurferformats/man/read.element.counts.ply.header.Rd              |   30 
 freesurferformats-1.0.1/freesurferformats/man/read.fixed.char.binary.Rd                      |   50 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.annot.Rd                               |   94 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.annot.gii.Rd                           |   76 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.colortable.Rd                          |   78 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.curv.Rd                                |  106 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.gca.Rd                                 |   54 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.label.Rd                               |   66 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.label.gii.Rd                           |   74 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.label.native.Rd                        |   88 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.mgh.Rd                                 |  138 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.morph.Rd                               |  114 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.morph.asc.Rd                           |   40 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.morph.bvsmp.Rd                         |   38 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.morph.cifti.Rd                         |  104 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.morph.gii.Rd                           |  102 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.morph.ni1.Rd                           |   40 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.morph.ni2.Rd                           |   34 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.morph.nii.Rd                           |   34 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.morph.txt.Rd                           |   34 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.patch.Rd                               |   52 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.patch.asc.Rd                           |   48 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.surface.Rd                             |  100 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.surface.asc.Rd                         |   94 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.surface.bvsrf.Rd                       |   86 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.surface.byu.Rd                         |   44 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.surface.geo.Rd                         |   86 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.surface.gii.Rd                         |   92 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.surface.ico.Rd                         |   86 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.surface.mz3.Rd                         |   40 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.surface.obj.Rd                         |   86 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.surface.off.Rd                         |   80 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.surface.ply.Rd                         |   86 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.surface.stl.Rd                         |   48 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.surface.stl.ascii.Rd                   |   52 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.surface.stl.bin.Rd                     |   50 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.surface.vtk.Rd                         |   86 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.transform.Rd                           |   92 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.transform.dat.Rd                       |   82 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.transform.lta.Rd                       |   86 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.transform.xfm.Rd                       |   88 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.volume.Rd                              |  140 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.volume.nii.Rd                          |  112 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.weight.Rd                              |   84 
 freesurferformats-1.0.1/freesurferformats/man/read.fs.weight.asc.Rd                          |   36 
 freesurferformats-1.0.1/freesurferformats/man/read.mesh.brainvoyager.Rd                      |   86 
 freesurferformats-1.0.1/freesurferformats/man/read.nifti1.data.Rd                            |   48 
 freesurferformats-1.0.1/freesurferformats/man/read.nifti1.header.Rd                          |   40 
 freesurferformats-1.0.1/freesurferformats/man/read.nifti1.header.internal.Rd                 |   40 
 freesurferformats-1.0.1/freesurferformats/man/read.nifti2.data.Rd                            |   42 
 freesurferformats-1.0.1/freesurferformats/man/read.nifti2.header.Rd                          |   34 
 freesurferformats-1.0.1/freesurferformats/man/read.nifti2.header.internal.Rd                 |   46 
 freesurferformats-1.0.1/freesurferformats/man/read.smp.brainvoyager.Rd                       |   70 
 freesurferformats-1.0.1/freesurferformats/man/read.smp.brainvoyager.v1or2.Rd                 |   42 
 freesurferformats-1.0.1/freesurferformats/man/read.smp.brainvoyager.v3.Rd                    |   42 
 freesurferformats-1.0.1/freesurferformats/man/read.smp.brainvoyager.v4or5.Rd                 |   42 
 freesurferformats-1.0.1/freesurferformats/man/read_nisurface.Rd                              |  108 
 freesurferformats-1.0.1/freesurferformats/man/read_nisurfacefile.Rd                          |  102 
 freesurferformats-1.0.1/freesurferformats/man/read_nisurfacefile.fsascii.Rd                  |   38 
 freesurferformats-1.0.1/freesurferformats/man/read_nisurfacefile.fsnative.Rd                 |   38 
 freesurferformats-1.0.1/freesurferformats/man/read_nisurfacefile.gifti.Rd                    |   38 
 freesurferformats-1.0.1/freesurferformats/man/readable.files.Rd                              |   56 
 freesurferformats-1.0.1/freesurferformats/man/readcolortable.Rd                              |   40 
 freesurferformats-1.0.1/freesurferformats/man/readcolortable_oldformat.Rd                    |   40 
 freesurferformats-1.0.1/freesurferformats/man/rotate2D.Rd                                    |   38 
 freesurferformats-1.0.1/freesurferformats/man/rotate3D.Rd                                    |   52 
 freesurferformats-1.0.1/freesurferformats/man/rotate90.Rd                                    |   38 
 freesurferformats-1.0.1/freesurferformats/man/scann.Rd                                       |   44 
 freesurferformats-1.0.1/freesurferformats/man/sm0to1.Rd                                      |   70 
 freesurferformats-1.0.1/freesurferformats/man/sm1to0.Rd                                      |   70 
 freesurferformats-1.0.1/freesurferformats/man/stl.format.file.is.ascii.Rd                    |   30 
 freesurferformats-1.0.1/freesurferformats/man/surfaceras.to.ras.Rd                           |   62 
 freesurferformats-1.0.1/freesurferformats/man/surfaceras.to.talairach.Rd                     |   56 
 freesurferformats-1.0.1/freesurferformats/man/talairachras.to.ras.Rd                         |   50 
 freesurferformats-1.0.1/freesurferformats/man/translate.mri.dtype.Rd                         |   36 
 freesurferformats-1.0.1/freesurferformats/man/vertex.euclid.dist.Rd                          |   54 
 freesurferformats-1.0.1/freesurferformats/man/vertexdists.to.point.Rd                        |   50 
 freesurferformats-1.0.1/freesurferformats/man/write.fs.annot.Rd                              |  114 
 freesurferformats-1.0.1/freesurferformats/man/write.fs.annot.gii.Rd                          |   96 
 freesurferformats-1.0.1/freesurferformats/man/write.fs.colortable.Rd                         |   66 
 freesurferformats-1.0.1/freesurferformats/man/write.fs.curv.Rd                               |   80 
 freesurferformats-1.0.1/freesurferformats/man/write.fs.label.Rd                              |  106 
 freesurferformats-1.0.1/freesurferformats/man/write.fs.label.gii.Rd                          |  112 
 freesurferformats-1.0.1/freesurferformats/man/write.fs.mgh.Rd                                |  102 
 freesurferformats-1.0.1/freesurferformats/man/write.fs.morph.Rd                              |   92 
 freesurferformats-1.0.1/freesurferformats/man/write.fs.morph.asc.Rd                          |   82 
 freesurferformats-1.0.1/freesurferformats/man/write.fs.morph.gii.Rd                          |   96 
 freesurferformats-1.0.1/freesurferformats/man/write.fs.morph.ni1.Rd                          |   97 
 freesurferformats-1.0.1/freesurferformats/man/write.fs.morph.ni2.Rd                          |  106 
 freesurferformats-1.0.1/freesurferformats/man/write.fs.morph.smp.Rd                          |   88 
 freesurferformats-1.0.1/freesurferformats/man/write.fs.morph.txt.Rd                          |   78 
 freesurferformats-1.0.1/freesurferformats/man/write.fs.patch.Rd                              |   52 
 freesurferformats-1.0.1/freesurferformats/man/write.fs.surface.Rd                            |  134 
 freesurferformats-1.0.1/freesurferformats/man/write.fs.surface.asc.Rd                        |  114 
 freesurferformats-1.0.1/freesurferformats/man/write.fs.surface.bvsrf.Rd                      |   62 
 freesurferformats-1.0.1/freesurferformats/man/write.fs.surface.byu.Rd                        |  118 
 freesurferformats-1.0.1/freesurferformats/man/write.fs.surface.gii.Rd                        |  124 
 freesurferformats-1.0.1/freesurferformats/man/write.fs.surface.mz3.Rd                        |  122 
 freesurferformats-1.0.1/freesurferformats/man/write.fs.surface.obj.Rd                        |   94 
 freesurferformats-1.0.1/freesurferformats/man/write.fs.surface.off.Rd                        |   90 
 freesurferformats-1.0.1/freesurferformats/man/write.fs.surface.off.ply2.Rd                   |   96 
 freesurferformats-1.0.1/freesurferformats/man/write.fs.surface.ply.Rd                        |  104 
 freesurferformats-1.0.1/freesurferformats/man/write.fs.surface.ply2.Rd                       |   84 
 freesurferformats-1.0.1/freesurferformats/man/write.fs.surface.vtk.Rd                        |  112 
 freesurferformats-1.0.1/freesurferformats/man/write.fs.volume.Rd                             |only
 freesurferformats-1.0.1/freesurferformats/man/write.fs.weight.Rd                             |   86 
 freesurferformats-1.0.1/freesurferformats/man/write.fs.weight.asc.Rd                         |   82 
 freesurferformats-1.0.1/freesurferformats/man/write.nifti1.Rd                                |   51 
 freesurferformats-1.0.1/freesurferformats/man/write.nifti2.Rd                                |   46 
 freesurferformats-1.0.1/freesurferformats/man/write.smp.brainvoyager.Rd                      |   42 
 freesurferformats-1.0.1/freesurferformats/man/write.smp.brainvoyager.v2.Rd                   |   44 
 freesurferformats-1.0.1/freesurferformats/man/write.smp.brainvoyager.v3or4or5.Rd             |   44 
 freesurferformats-1.0.1/freesurferformats/man/xml_node_gifti_MD.Rd                           |   50 
 freesurferformats-1.0.1/freesurferformats/man/xml_node_gifti_coordtransform.Rd               |   56 
 freesurferformats-1.0.1/freesurferformats/man/xml_node_gifti_label.Rd                        |   44 
 freesurferformats-1.0.1/freesurferformats/man/xml_node_gifti_label_table.Rd                  |   30 
 freesurferformats-1.0.1/freesurferformats/man/xml_node_gifti_label_table_from_annot.Rd       |   36 
 freesurferformats-1.0.1/freesurferformats/tests/testthat.R                                   |    8 
 freesurferformats-1.0.1/freesurferformats/tests/testthat/helper-functions-for-tests.R        |   48 
 freesurferformats-1.0.1/freesurferformats/tests/testthat/teardown-cran.R                     |   20 
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-brainvoyager.R                 |  210 
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-cifti.R                        |   96 
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-gifti_writer.R                 |   36 
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-gifti_xml_tools.R              |   66 
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-helpers.R                      |   36 
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-mgh2nii.R                      |  152 
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-mghheader.R                    |  474 -
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-nifti_to_mgh.R                 |   90 
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-read_dti_tcktsf.R              |only
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-read_fs_annot.R                |  364 -
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-read_fs_curv.R                 |   96 
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-read_fs_label.R                |  196 
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-read_fs_mgh.R                  |  354 -
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-read_fs_patch.R                |   96 
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-read_fs_surface.R              |  860 +-
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-read_fs_transform.R            |  120 
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-read_fs_weight.R               |   16 
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-read_nifti1.R                  |  202 
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-read_nifti2.R                  |  146 
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-read_nisurface.R               |  240 
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-rotate3d.R                     |  186 
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-surface_dist.R                 |   72 
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-write_fs_annot.R               |  270 
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-write_fs_curv.R                |  300 -
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-write_fs_label.R               |  116 
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-write_fs_mgh.R                 |  376 -
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-write_fs_patch.R               |   56 
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-write_fs_surface.R             |  366 -
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-write_fs_weight.R              |   90 
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-write_nifti1.R                 |  158 
 freesurferformats-1.0.1/freesurferformats/tests/testthat/test-write_nifti2.R                 |  102 
 freesurferformats-1.0.1/freesurferformats/vignettes/freesurferformats.Rmd                    |  624 +-
 freesurferformats-1.0.1/freesurferformats/vignettes/freesurferformats_header.Rmd             |  190 
 freesurferformats-1.0.1/freesurferformats/vignettes/freesurferformats_write.Rmd              |  314 -
 321 files changed, 24183 insertions(+), 23970 deletions(-)

More information about freesurferformats at CRAN
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Package tabstats updated to version 0.2.1 with previous version 0.2.0 dated 2026-05-25

Title: A Lightweight Toolkit for Displaying Customizable Tables
Description: A lightweight toolkit that provides functions for printing tables from input data in the R console or terminal with customizable formatting. Supported outputs include American Psychological Association (APA)-style tables (American Psychological Association, 2020, ISBN:9781433832178), correlation matrices, contingency tables, and two-column summary tables.
Author: Joshua Marie [aut, cre]
Maintainer: Joshua Marie <joshua.marie.k@gmail.com>

Diff between tabstats versions 0.2.0 dated 2026-05-25 and 0.2.1 dated 2026-07-08

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Package ineapir updated to version 0.2.6 with previous version 0.2.5 dated 2025-09-15

Title: Obtaining Data Published by the National Statistics Institute
Description: Get open statistical data and metadata disseminated by the National Statistics Institute of Spain (INE). The functions return data frames with the requested information thanks to calls to the 'INE' API <https://www.ine.es/dyngs/DAB/index.htm?cid=1100>.
Author: David Crespo [aut, cre], National Statistics Institute, INE [cph]
Maintainer: David Crespo <david.crespo.roces@ine.es>

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Package natcpp updated to version 0.3.0 with previous version 0.2 dated 2025-10-14

Title: Fast C++ Primitives for the 'NeuroAnatomy Toolbox'
Description: Fast functions implemented in C++ via 'Rcpp' to support the 'NeuroAnatomy Toolbox' ('nat') ecosystem. These functions provide large speed-ups for basic manipulation of neuronal skeletons over pure R functions found in the 'nat' package. The expectation is that end users will not use this package directly, but instead the 'nat' package will automatically use routines from this package when it is available to enable large performance gains.
Author: Gregory Jefferis [aut, cre]
Maintainer: Gregory Jefferis <jefferis@gmail.com>

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Package ips updated to version 0.1.1 with previous version 0.0.13 dated 2026-02-23

Title: Interfaces to Phylogenetic Software in R
Description: Functions that wrap popular phylogenetic software for sequence alignment, masking of sequence alignments, and estimation of phylogenies and ancestral character states.
Author: Christoph Heibl [aut] , Natalie Cusimano [aut], Franz-Sebastian Krah [aut], Martin R. Smith [ctb, cre]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package globaltrends updated to version 0.2.1 with previous version 0.0.14 dated 2023-03-06

Title: Download and Measure Global Trends Through 'Google' Search Volumes
Description: 'Google' offers public access to global search volumes from its search engine through the 'Google Trends' portal. The package downloads these search volumes provided by 'Google Trends' and uses them to measure and analyze the distribution of search scores across countries or within countries. The package allows researchers and analysts to use these search scores to investigate global trends based on patterns within these scores. This offers insights such as degree of internationalization of firms and organizations or dissemination of political, social, or technological trends across the globe or within single countries. An outline of the package's methodological foundations and potential applications is available as a working paper: <doi:10.2139/ssrn.3969013>.
Author: Harald Puhr [aut, cre, cph] , Jakob Muellner [ccp]
Maintainer: Harald Puhr <harald.puhr@gmail.com>

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Package ThSQCA updated to version 2.0.1 with previous version 2.0.0 dated 2026-05-30

Title: Threshold-Sweep QCA
Description: Provides threshold sweep methods for Qualitative Comparative Analysis (QCA). Implements Condition Threshold Sweep-Single (CTS-S), Condition Threshold Sweep-Multiple (CTS-M), Outcome Threshold Sweep (OTS), and Dual Threshold Sweep (DTS) for systematic exploration of threshold calibration effects on crisp-set QCA results. These methods extend traditional robustness approaches by treating threshold variation as an exploratory tool for discovering causal structures. Also provides Fiss (2011) <doi:10.5465/amj.2011.60263120> core/peripheral condition classification via compute_fiss_core() and generate_fiss_chart(), enabling four-symbol configuration charts that distinguish core conditions (present in both parsimonious and intermediate solutions) from peripheral conditions (intermediate only). Built on top of the 'QCA' package by Dusa (2019) <doi:10.1007/978-3-319-75668-4>, with function arguments following 'QCA' conventions. Based on set-theoretic methods by Ragin (2008) <doi: [...truncated...]
Author: Yuki Toyoda [aut, cre], Japan Society for the Promotion of Science [fnd]
Maintainer: Yuki Toyoda <yuki.toyoda.ds@hosei.ac.jp>

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Package Racmacs updated to version 1.2.10 with previous version 1.2.9 dated 2023-11-30

Title: Antigenic Cartography Macros
Description: A toolkit for making antigenic maps from immunological assay data, in order to quantify and visualize antigenic differences between different pathogen strains as described in Smith et al. (2004) <doi:10.1126/science.1097211> and used in the World Health Organization influenza vaccine strain selection process. Additional functions allow for the diagnostic evaluation of antigenic maps and an interactive viewer is provided to explore antigenic relationships amongst several strains and incorporate the visualization of associated genetic information.
Author: Sam Wilks [aut, cre]
Maintainer: Sam Wilks <sam.wilks@unimelb.edu.au>

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Package mrbayes updated to version 0.5.3 with previous version 0.5.2 dated 2024-08-19

Title: Bayesian Summary Data Models for Mendelian Randomization Studies
Description: Bayesian estimation of inverse variance weighted (IVW), Burgess et al. (2013) <doi:10.1002/gepi.21758>, and MR-Egger, Bowden et al. (2015) <doi:10.1093/ije/dyv080>, summary data models for Mendelian randomization analyses.
Author: Okezie Uche-Ikonne [aut] , Frank Dondelinger [aut] , Tom Palmer [aut, cre]
Maintainer: Tom Palmer <remlapmot@hotmail.com>

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Package MetaHD updated to version 0.1.5 with previous version 0.1.4 dated 2026-02-05

Title: A Multivariate Meta-Analysis Model for High-Dimensional Data
Description: Performs multivariate meta-analysis for high-dimensional data to integrate and collectively analyse individual-level data from multiple studies, as well as to combine summary estimates. This approach accounts for correlation between outcomes, incorporates within- and between-study variability, handles missing values, and uses shrinkage estimation to accommodate high dimensionality. The 'MetaHD' R package provides access to our multivariate meta-analysis approach, along with a comprehensive suite of existing meta-analysis methods, including fixed-effects and random-effects models, Fisher's method, Stouffer's method, the weighted Z method, Lancaster's method, the weighted Fisher's method, and vote-counting approach. Visualisation tools are provided for interpreting and comparing results across methods, including Venn diagrams, UpSet plots, and ROC curves, heatmaps of pooled effect sizes and correlations among outcomes. A detailed vignette with example datasets and code for data preparati [...truncated...]
Author: Jayamini Liyanage [aut, cre], Alysha De Livera [aut], Luke Prendergast [aut]
Maintainer: Jayamini Liyanage <j.liyanage@latrobe.edu.au>

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Package grouper updated to version 0.7.3 with previous version 0.5.0 dated 2025-10-16

Title: Optimal Group Assignment and Workload Allocation
Description: Integer programming models to assign students to groups by maximising diversity or topic preferences, and to allocate multi-role teaching workloads while balancing role demand, preferences, fairness, and cohort protection.
Author: Vik Gopal [aut], Kevin Lam [aut], Ju Xue [ctb], Mingyuan Zhang [aut, cre], National University of Singapore [cph]
Maintainer: Mingyuan Zhang <e0970135@u.nus.edu>

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Package glyparse updated to version 0.7.1 with previous version 0.7.0 dated 2026-07-06

Title: Parsing Glycan Structure Text Representations
Description: Provides functions to parse glycan structure text representations into 'glyrepr' glycan structures. Currently, it supports StrucGP-style, pGlyco-style, IUPAC-condensed, IUPAC-extended, IUPAC-short, IUPAC-compact, WURCS, LINUCS, Linear Code, GlycoCT, and KCF format. It also provides an automatic parser to detect the format and parse the structure string.
Author: Bin Fu [aut, cre, cph]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>

Diff between glyparse versions 0.7.0 dated 2026-07-06 and 0.7.1 dated 2026-07-08

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Package partDSA updated to version 0.9.15 with previous version 0.9.14 dated 2017-01-05

Title: Partitioning Using Deletion, Substitution, and Addition Moves
Description: A novel tool for generating a piecewise constant estimation list of increasingly complex predictors based on an intensive and comprehensive search over the entire covariate space.
Author: Annette Molinaro [aut, cre], Adam Olshen [aut], Karen Lostritto [aut], Gregory Ryslik [aut], Steve Weston [aut]
Maintainer: Annette Molinaro <annette.molinaro@ucsf.edu>

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Package cgmguru updated to version 1.2.0 with previous version 1.1.0 dated 2026-06-08

Title: Advanced Continuous Glucose Monitoring Analysis with High-Performance C++ Backend
Description: Tools for advanced analysis of continuous glucose monitoring (CGM) time-series, implementing GRID (Glucose Rate Increase Detector) and GRID-based algorithms for postprandial peak detection, and detection of hypoglycemic and hyperglycemic episodes (Levels 1/2/Extended) aligned with international consensus CGM metrics. Core algorithms are implemented in optimized C++ using 'Rcpp' to provide accurate and fast analysis on large datasets.
Author: Sang Ho Park [aut, cre], Rosa Oh [aut, ctb], Sang-Man Jin [aut, ctb]
Maintainer: Sang Ho Park <shstat1729@gmail.com>

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Package vip (with last version 0.4.6) was removed from CRAN

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

2026-04-23 0.4.6
2025-12-12 0.4.5
2025-12-10 0.4.3
2025-12-02 0.4.2
2023-08-21 0.4.1
2023-07-19 0.4.0
2020-12-17 0.3.2
2020-04-06 0.2.2
2020-01-20 0.2.1
2020-01-19 0.2.0
2019-07-03 0.1.3
2018-09-30 0.1.2
2018-09-27 0.1.1
2018-06-15 0.1.0

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Package SimplexRegression updated to version 0.1.4 with previous version 0.1.3 dated 2026-06-30

Title: Simplex Regression Models with Parametric or Fixed Mean Link Functions
Description: Fits and analyzes simplex regression models with either fixed or parametric mean link functions. Implements the simplex probability density function, cumulative distribution function, quantile function, random number generation, and variance evaluation. Offers several fixed and parametric link functions for the mean submodel, tools for residual analysis and diagnostic plotting, hypothesis testing procedures, and influence measures such as Cook's distance and leverage (hat values). Includes the Scout Score (SS) criterion for model selection, enabling comprehensive inference and diagnostic analysis within the simplex regression framework. For more details see Barndorff-Nielsen and Jorgensen (1991) <doi:10.1016/0047-259X(91)90008-P> and Justino and Cribari-Neto (2026) <doi:10.1016/j.apm.2025.116713>.
Author: Maria Eduarda da Cruz Justino [aut, cre] , Francisco Cribari-Neto [ctb, ths]
Maintainer: Maria Eduarda da Cruz Justino <eueduardacruz@gmail.com>

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Package simIDM updated to version 0.1.1 with previous version 0.1.0 dated 2023-12-11

Title: Simulating Oncology Trials using an Illness-Death Model
Description: Based on the illness-death model a large number of clinical trials with oncology endpoints progression-free survival (PFS) and overall survival (OS) can be simulated, see Meller, Beyersmann and Rufibach (2019) <doi:10.1002/sim.8295>. The simulation set-up allows for random and event-driven censoring, an arbitrary number of treatment arms, staggered study entry and drop-out. Exponentially, Weibull and piecewise exponentially distributed survival times can be generated. The correlation between PFS and OS can be calculated.
Author: Alexandra Erdmann [aut], Daniel Sabanes Bove [aut, cre], Kaspar Rufibach [aut], Holger Loewe [aut], F. Hoffmann-La Roche AG [cph, fnd], University of Ulm [cph, fnd]
Maintainer: Daniel Sabanes Bove <daniel.sabanes_bove@rconis.com>

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Package rsconnect updated to version 1.10.1 with previous version 1.10.0 dated 2026-06-08

Title: Deploy Docs, Apps, and APIs to 'Posit Connect', 'shinyapps.io', and 'RPubs'
Description: Programmatic deployment interface for 'RPubs', 'shinyapps.io', and 'Posit Connect'. Supported content types include R Markdown documents, Shiny applications, Plumber APIs, plots, and static web content.
Author: Aron Atkins [aut, cre], Toph Allen [aut], Hadley Wickham [aut], Jonathan McPherson [aut], JJ Allaire [aut], Posit Software, PBC [cph, fnd]
Maintainer: Aron Atkins <aron@posit.co>

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Package LongDat updated to version 1.1.4 with previous version 1.1.3 dated 2024-11-18

Title: A Tool for 'Covariate'-Sensitive Longitudinal Analysis on 'omics' Data
Description: This tool takes longitudinal dataset as input and analyzes if there is significant change of the features over time (a proxy for treatments), while detects and controls for 'covariates' simultaneously. 'LongDat' is able to take in several data types as input, including count, proportion, binary, ordinal and continuous data. The output table contains p values, effect sizes and 'covariates' of each feature, making the downstream analysis easy.
Author: Chia-Yu Chen [aut, cre] , Sofia Forslund [ctb]
Maintainer: Chia-Yu Chen <jessica821112@gmail.com>

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Package kableExtra updated to version 1.4.1 with previous version 1.4.0 dated 2024-01-24

Title: Construct Complex Table with 'kable' and Pipe Syntax
Description: Build complex HTML or 'LaTeX' tables using 'kable()' from 'knitr' and the piping syntax from 'magrittr'. Function 'kable()' is a light weight table generator coming from 'knitr'. This package simplifies the way to manipulate the HTML or 'LaTeX' codes generated by 'kable()' and allows users to construct complex tables and customize styles using a readable syntax.
Author: Hao Zhu [aut, cre] , Thomas Travison [ctb], Timothy Tsai [ctb], Will Beasley [ctb], Yihui Xie [ctb], GuangChuang Yu [ctb], Stephane Laurent [ctb], Rob Shepherd [ctb], Yoni Sidi [ctb], Brian Salzer [ctb], George Gui [ctb], Yeliang Fan [ctb], Duncan Mu [...truncated...]
Maintainer: Hao Zhu <haozhu233@gmail.com>

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Package cox.rvph updated to version 0.1.2 with previous version 0.1.1 dated 2026-06-09

Title: Remedy the Violation of the Proportional Hazards Assumption of Cox Regression
Description: Remedying proportional hazards assumption violations of a Cox proportional hazards model using stepwise changepoint and time-varying coefficient methods based on Cox (1972) <doi:10.1111/j.2517-6161.1972.tb00899.x> and Grambsch and Therneau (1994) <doi:10.1093/biomet/81.3.515>.
Author: Hamin Kim [aut, cre]
Maintainer: Hamin Kim <siru9170@naver.com>

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Package ihsMW updated to version 1.0.0 with previous version 0.2.1 dated 2026-06-04

Title: Clean and Harmonise 'Malawi Integrated Household Survey' Data
Description: An offline suite of tools to clean, aggregate, and harmonise data from the 'Malawi Integrated Household Survey' ('IHS'). Provides crop-specific unit conversions, stratified winsorization, and automatic cross-round harmonisation for complex survey designs.
Author: Vitumbiko Kayuni [aut, cre]
Maintainer: Vitumbiko Kayuni <vitumbikokayuni@gmail.com>

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Tue, 07 Jul 2026

Package schoolmath updated to version 0.5.0 with previous version 0.4.2 dated 2023-08-21

Title: Functions and Datasets for Math Used in School
Description: Contains functions and datasets for math taught in school. A main focus is set to prime-calculation.
Author: Joerg grosse Schlarmann [aut, cre]
Maintainer: Joerg grosse Schlarmann <schlarmann@produnis.de>

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Package bayesQRsurvey updated to version 0.3.0 with previous version 0.2.2 dated 2026-04-06

Title: Bayesian Quantile Regression Models for Complex Survey Data Analysis
Description: Provides Bayesian quantile regression models for complex survey data under informative sampling using survey-weighted estimators. Both single- and multiple-output models are supported. To accelerate computation, all algorithms are implemented in 'C++' using 'Rcpp', 'RcppArmadillo', and 'RcppEigen', and are called from 'R'. See Nascimento and Gonçalves (2024) <doi:10.1093/jssam/smae015> and Nascimento and Gonçalves (2025, in press).
Author: Tomas Rodriguez Taborda [aut, cre], Johnatan Cardona Jimenez [aut], Marcus L. Nascimento [aut], Kelly Cristina Mota Goncalves [aut]
Maintainer: Tomas Rodriguez Taborda <torodriguezt@unal.edu.co>

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Package ggforestplotR updated to version 0.3.0 with previous version 0.2.2 dated 2026-06-05

Title: Publication-Ready Forest Plots with 'ggplot2'
Description: Transform model coefficients into flexible forest plots using 'ggplot2'. Provides helpers to standardize coefficient data from a range of modelling workflows and render publication-ready forest plots with a consistent interface.
Author: Carson Richardson [aut, cre, cph]
Maintainer: Carson Richardson <carson.richardson@outlook.com>

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Package tradestatistics updated to version 7.0.0 with previous version 6.0.0 dated 2025-09-22

Title: Open Trade Statistics API Wrapper and Utility Program
Description: Access 'Open Trade Statistics' API from R to download international trade data.
Author: Mauricio Vargas [aut, cre, cph] , Joshua Kunst [ctb] , Alexey Kravchenko [ctb] , Emma Mendelsohn [ctb] , Daniela de los Santos [ctb] , Emily Riederer [rev] , Mark Padgham [rev] , Amanda Dobbyn [rev] , Jorge Cimentada [rev] , UN Comtrade [dtc], The Wo [...truncated...]
Maintainer: Mauricio Vargas <m.vargas.sepulveda@gmail.com>

Diff between tradestatistics versions 6.0.0 dated 2025-09-22 and 7.0.0 dated 2026-07-07

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Package panelPomp updated to version 1.8.0.0 with previous version 1.7.0.0 dated 2025-05-09

Title: Inference for Panel Partially Observed Markov Processes
Description: Data analysis based on panel partially-observed Markov process (PanelPOMP) models. To implement such models, simulate them and fit them to panel data, 'panelPomp' extends some of the facilities provided for time series data by the 'pomp' package. Implemented methods include filtering (panel particle filtering) and maximum likelihood estimation (Panel Iterated Filtering) as proposed in Breto, Ionides and King (2020) "Panel Data Analysis via Mechanistic Models" <doi:10.1080/01621459.2019.1604367>.
Author: Carles Breto [aut] , Edward L. Ionides [aut] , Aaron A. King [aut] , Jesse Wheeler [aut, cre] , Aaron Abkemeier [ctb]
Maintainer: Jesse Wheeler <jesse.wheeler@usu.edu>

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Package vegdata readmission to version 1.9.18 with previous version 1.9.15 dated 2025-12-01

Title: Access Vegetation Databases and Treat Taxonomy
Description: Handling of vegetation data from different sources but especially Turboveg 2.0. Taxonomic harmonization (given appropriate taxonomic lists, e.g. GermanSL and EuroSL (Euro+Med extended) see <https://eurosl.infinitenature.org>).
Author: Florian Jansen [aut, cre]
Maintainer: Florian Jansen <florian.jansen@uni-rostock.de>

This is a re-admission after prior archival of version 1.9.15 dated 2025-12-01

Diff between vegdata versions 1.9.15 dated 2025-12-01 and 1.9.18 dated 2026-07-07

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Package soilKey updated to version 0.9.184 with previous version 0.9.157 dated 2026-06-30

Title: Automated Soil Profile Classification per WRB 2022, 'SiBCS' 5 and USDA Soil Taxonomy 13
Description: Implements deterministic classification keys for the World Reference Base for Soil Resources 2022 (4th edition) and the Brazilian System of Soil Classification ('SiBCS', 5th edition). Provides a unified profile representation with explicit per-attribute provenance, multimodal extraction from field reports and photos via vision-language models, spatial priors from 'SoilGrids' and national soil maps, and gap-filling of soil attributes from Vis-NIR or MIR spectra via the Open Soil Spectral Library ('OSSL'). The taxonomic key itself is never delegated to a language model; LLMs are restricted to schema-validated extraction. Each classification result reports a key trace, a provenance-aware evidence grade, and ambiguities that further measurement would resolve.
Author: Hugo Rodrigues [aut, cre]
Maintainer: Hugo Rodrigues <rodrigues.machado.hugo@gmail.com>

Diff between soilKey versions 0.9.157 dated 2026-06-30 and 0.9.184 dated 2026-07-07

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Package serpstatr updated to version 0.5.0 with previous version 0.4.3 dated 2026-07-02

Title: 'Serpstat' API Wrapper
Description: The primary goal of 'Serpstat' API <https://api-docs.serpstat.com/docs/serpstat-public-api/jenasqbwtxdlr-introduction-to-serpstat-api> is to reduce manual SEO (search engine optimization) and PPC (pay-per-click) tasks. You can automate your keywords research or competitors analysis with this API wrapper.
Author: Alex Danilin [aut, cre]
Maintainer: Alex Danilin <alexnikdanilin@gmail.com>

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Package rcatfish updated to version 1.0.4 with previous version 1.0.3 dated 2026-06-12

Title: An R Interface to the California Academy of Sciences Eschmeyer's Catalog of Fishes
Description: Accesses the California Academy of Sciences Eschmeyer's Catalog of Fishes in R using web requests. The Catalog of fishes is the leading authority in fish taxonomy. Functions in the package allow users to search for fish taxa and valid names, retrieve taxonomic references, retrieve monthly taxonomic changes, obtain natural history collection information, and see the number of species by taxonomic group. For more information on the Catalog: Fricke, R., Eschmeyer, W. N. & R. van der Laan (eds) 2025. ESCHMEYER'S CATALOG OF FISHES <https://researcharchive.calacademy.org/research/ichthyology/catalog/fishcatmain.asp>.
Author: Samuel R. Borstein [aut, cre], Brandon Dominy [aut], Brian O'Meara [aut]
Maintainer: Samuel R. Borstein <sam@borstein.com>

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Package pkgdown updated to version 2.2.1 with previous version 2.2.0 dated 2025-11-06

Title: Make Static HTML Documentation for a Package
Description: Generate an attractive and useful website from a source package. 'pkgdown' converts your documentation, vignettes, 'README', and more to 'HTML' making it easy to share information about your package online.
Author: Hadley Wickham [aut, cre] , Jay Hesselberth [aut] , Maelle Salmon [aut] , Olivier Roy [aut], Salim Brueggemann [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package joinery updated to version 1.0.1 with previous version 1.0.0 dated 2026-07-07

Title: Heuristic Index-Based Record Linkage
Description: Links records that refer to the same entity across sources that share no common key, such as people, firms, or addresses with spelling variation, abbreviations, or reordered words. Linkage is described declaratively as a strategy that normalises, tokenises, phonetically encodes, weights, and blocks each field; candidate pairs are then scored by the rarity-weighted overlap of their tokens and every score is attributed back to individual tokens for explainability. Strategies compose into staged pipelines of exact, fuzzy, and optional embedding-based matching that carry unmatched records forward and resolve entities as connected components. The same strategy runs on an in-memory 'data.table' backend or an out-of-core 'DuckDB' backend, and diagnostic and calibration tools help tune a strategy and filter false positives. The token-retrieval heuristic follows Doherr (2023) <doi:10.2139/ssrn.4326848>.
Author: Eduard Bruell [aut, cre]
Maintainer: Eduard Bruell <eduard.bruell@zew.de>

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Package golem updated to version 1.0.1 with previous version 1.0.0 dated 2026-06-26

Title: A Framework for Robust Shiny Applications
Description: An opinionated framework for building a production-ready 'Shiny' application. This package contains a series of tools for building a robust 'Shiny' application from start to finish.
Author: Colin Fay [cre, aut] , Vincent Guyader [aut] , Sebastien Rochette [aut] , Cervan Girard [aut] , Novica Nakov [ctb], David Granjon [ctb], Arthur Breant [ctb], Antoine Languillaume [ctb], Ilya Zarubin [ctb], ThinkR [cph]
Maintainer: Colin Fay <contact@colinfay.me>

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Package cleangeo updated to version 0.3-2 with previous version 0.3-1 dated 2023-09-01

Title: Cleaning Geometries from Spatial Objects
Description: Provides a set of utility tools to inspect spatial objects, facilitate handling and reporting of topology errors and geometry validity issue with sp objects. Finally, it provides a geometry cleaner that will fix all geometry problems, and eliminate (at least reduce) the likelihood of having issues when doing spatial data processing.
Author: Emmanuel Blondel [aut, cre]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

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Package arima2 updated to version 3.4.4 with previous version 3.4.3 dated 2025-12-10

Title: Likelihood Based Inference for ARIMA Modeling
Description: Estimating and analyzing auto regressive integrated moving average (ARIMA) models. The primary function in this package is arima(), which fits an ARIMA model to univariate time series data using a random restart algorithm. This approach frequently leads to models that have model likelihood greater than or equal to that of the likelihood obtained by fitting the same model using the arima() function from the 'stats' package. This package enables proper optimization of model likelihoods, which is a necessary condition for performing likelihood ratio tests. This package relies heavily on the source code of the arima() function of the 'stats' package. For more information, please see Jesse Wheeler and Edward L. Ionides (2025) <doi:10.1371/journal.pone.0333993>.
Author: Jesse Wheeler [aut, cre, cph], Noel McAllister [aut], Dhajanae Sylvertooth [aut], Edward Ionides [ctb], Brian Ripley [ctb] , R Core Team [cph]
Maintainer: Jesse Wheeler <jesse.wheeler@usu.edu>

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Package araponga updated to version 1.1.0 with previous version 1.0.1 dated 2026-07-02

Title: Estimate 3D Orientations from 2D Landmarks
Description: Estimates possible 3D orientations of an object from the 2D image coordinates of two landmarks and an approximate camera-object elevation angle. Because a projected 2D angle can be compatible with multiple 3D pitch, yaw, and view-elevation angles, the package returns compatible sets of orientations rather than a single unconstrained estimate.
Author: Joao C T Menezes [aut, cre, cph]
Maintainer: Joao C T Menezes <jocateme@gmail.com>

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Package spant updated to version 4.3.0 with previous version 4.2.0 dated 2026-06-20

Title: MR Spectroscopy Analysis Tools
Description: Tools for reading, visualising and processing Magnetic Resonance Spectroscopy data. The package includes methods for spectral fitting: Wilson (2021) <DOI:10.1002/mrm.28385>, Wilson (2025) <DOI:10.1002/mrm.30462> and spectral alignment: Wilson (2018) <DOI:10.1002/mrm.27605>.
Author: Martin Wilson [cre, aut] , Yong Wang [ctb], John Muschelli [ctb]
Maintainer: Martin Wilson <martin.wilson111@gmail.com>

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Package missMDA updated to version 1.22 with previous version 1.21 dated 2026-02-12

Title: Handling Missing Values with Multivariate Data Analysis
Description: Imputation of incomplete continuous or categorical datasets; Missing values are imputed with a principal component analysis (PCA), a multiple correspondence analysis (MCA) model or a multiple factor analysis (MFA) model; Perform multiple imputation with and in PCA or MCA.
Author: Francois Husson [aut, cre] , Julie Josse [aut]
Maintainer: Francois Husson <francois.husson@institut-agro.fr>

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Package binom updated to version 1.1-2 with previous version 1.1-1.1 dated 2022-05-02

Title: Binomial Confidence Intervals for Several Parameterizations
Description: Constructs confidence intervals on the probability of success in a binomial experiment via several parameterizations.
Author: Sundar Dorai-Raj [aut], Arianna D. Cascone [aut, cre]
Maintainer: Arianna D. Cascone <ariannacascone4@gmail.com>

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Package GWnorm updated to version 1.0.2 with previous version 1.0.1 dated 2026-05-27

Title: G-Wishart Normalising Constants for Gaussian Graphical Models
Description: Computes G-Wishart normalising constants through a Fourier approach. Either exact analytical results, numerical integration or Monte Carlo estimation are employed. Details at C. Wong, G. Moffa and J. Kuipers (2024), <doi:10.48550/arXiv.2404.06803>. Also includes approximations of the ratio of normalising constants, see details at C. Wong, G. Moffa and J. Kuipers (2025), <doi:10.48550/arXiv.2503.13046>.
Author: Ching Wong [aut], Jack Kuipers [aut, cre]
Maintainer: Jack Kuipers <jack.kuipers@bsse.ethz.ch>

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Package altdoc updated to version 0.7.3 with previous version 0.7.2 dated 2026-03-02

Title: Package Documentation Websites with 'Quarto', 'Docsify', 'Docute', or 'MkDocs'
Description: This is a simple and powerful package to create, render, preview, and deploy documentation websites for 'R' packages. It is a lightweight and flexible alternative to 'pkgdown', with support for many documentation generators, including 'Quarto', 'Docute', 'Docsify', and 'MkDocs'.
Author: Etienne Bacher [aut, cre, cph], Vincent Arel-Bundock [aut]
Maintainer: Etienne Bacher <etienne.bacher@protonmail.com>

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Package zen4R updated to version 0.10.6 with previous version 0.10.5 dated 2026-03-30

Title: Interface to 'Zenodo' REST API
Description: Provides an Interface to 'Zenodo' (<https://zenodo.org>) REST API, including management of depositions, attribution of DOIs by 'Zenodo' and upload and download of files.
Author: Emmanuel Blondel [aut, cre] , Julien Barde [ctb] , Stephen Eglen [ctb] , Hans Van Calster [ctb] , Floris Vanderhaeghe [ctb] , Jemma Stachelek [ctb] , Collin Schwantes [ctb] , Nicholas Tierney [ctb]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

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Package nowcastr updated to version 0.2.1 with previous version 0.2.0 dated 2026-04-16

Title: Nowcasting with Chain-Ladder Method
Description: Nowcasting using the Chain-Ladder method. Supports both non-cumulative delay-based estimation and model-based completeness fitting (e.g., using logistic or Gompertz curves) to predict final counts from partially reported data.
Author: Mathias Leroy [aut, cre], Finlay Campbell [aut]
Maintainer: Mathias Leroy <mathias.leroy.rpkg@gmail.com>

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Package MMAD updated to version 3.0.0 with previous version 2.0.1 dated 2026-03-12

Title: Minorization-Maximization via Assembly-Decomposition Technology
Description: A formula-driven framework for maximizing target functions via the minorization-maximization (MM) algorithm. The package represents the target as a symbolic expression tree, infers its curvature via disciplined-convex-programming rules, and constructs a separable surrogate at each iterate using only Jensen's inequality and the supporting hyperplane. The driver maximizes the surrogate via block-coordinate Newton with line search, falling back to a multivariate step on any non-separable residue. A formula interface accepts standard R expressions (including `sum()` reductions and `X %*% theta` design-matrix products) so statistical models such as Poisson regression can be written in one line.
Author: Xifen Huang [aut], Jinfeng Xu [aut], Jiaqi Gu [aut, cre]
Maintainer: Jiaqi Gu <jiaqigu@usf.edu>

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Package laminr updated to version 1.3.1 with previous version 1.3.0 dated 2026-03-13

Title: Client for 'LaminDB'
Description: Interact with 'LaminDB'. 'LaminDB' is an open-source data framework for biology. This package allows you to query and download data from 'LaminDB' instances.
Author: Robrecht Cannoodt [aut, cre] , Luke Zappia [aut] , Data Intuitive [aut], Lamin Labs [aut, cph]
Maintainer: Robrecht Cannoodt <robrecht@lamin.ai>

Diff between laminr versions 1.3.0 dated 2026-03-13 and 1.3.1 dated 2026-07-07

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Package effectsize updated to version 1.0.3 with previous version 1.0.2 dated 2026-03-11

Title: Indices of Effect Size
Description: Provide utilities to work with indices of effect size for a wide variety of models and hypothesis tests (see list of supported models using the function 'insight::supported_models()'), allowing computation of and conversion between indices such as Cohen's d, r, odds, etc. References: Ben-Shachar et al. (2020) <doi:10.21105/joss.02815>.
Author: Mattan S. Ben-Shachar [aut, cre] , Dominique Makowski [aut] , Daniel Luedecke [aut] , Indrajeet Patil [aut] , Brenton M. Wiernik [aut] , Remi Theriault [aut] , Ken Kelley [ctb], David Stanley [ctb], Aaron Caldwell [ctb] , Jessica Burnett [rev] , Johan [...truncated...]
Maintainer: Mattan S. Ben-Shachar <mattansb@msbstats.info>

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Package WienR updated to version 0.3-17 with previous version 0.3-15 dated 2023-11-29

Title: Derivatives of the First-Passage Time Density and Cumulative Distribution Function, and Random Sampling from the (Truncated) First-Passage Time Distribution
Description: First, we provide functions to calculate the partial derivative of the first-passage time diffusion probability density function (PDF) and cumulative distribution function (CDF) with respect to the first-passage time t (only for PDF), the upper barrier a, the drift rate v, the relative starting point w, the non-decision time t0, the inter-trial variability of the drift rate sv, the inter-trial variability of the rel. starting point sw, and the inter-trial variability of the non-decision time st0. In addition the PDF and CDF themselves are also provided. Most calculations are done on the logarithmic scale to make it more stable. Since the PDF, CDF, and their derivatives are represented as infinite series, we give the user the option to control the approximation errors with the argument 'precision'. For the numerical integration we used the C library cubature by Johnson, S. G. (2005-2013) <https://github.com/stevengj/cubature>. Numerical integration is required whenever sv, sw, and [...truncated...]
Author: Raphael Hartmann [aut, cre], Karl C. Klauer [cph, aut, ctb, ths], Steven G. Johnson [ctb], Jean M. Linhart [ctb], Brian Gough [ctb], Gerard Jungman [ctb], Rudolf Schuerer [ctb], Przemyslaw Sliwa [ctb], Jason H. Stover [ctb]
Maintainer: Raphael Hartmann <raphael.hartmann@protonmail.com>

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Package rjd3jars updated to version 0.0.5 with previous version 0.0.4 dated 2026-07-03

Title: External jars for 'rjdverse' R Packages
Description: It provides external jars required for the 'rjdverse' (as 'rjd3toolkit', 'rjd3x13' and 'rjd3tramoseats').
Author: Tanguy Barthelemy [aut, cre]
Maintainer: Tanguy Barthelemy <timeserieswithjdemetraandr@gmail.com>

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Package antaresRead updated to version 3.1.0 with previous version 3.0.1 dated 2026-05-28

Title: Import, Manipulate and Explore the Results of an 'Antares' Simulation
Description: Import, manipulate and explore results generated by 'Antares', a powerful open source software developed by RTE (Réseau de Transport d’Électricité) to simulate and study electric power systems (more information about 'Antares' here : <https://antares-simulator.org/>).
Author: Tatiana Vargas [aut, cre], Jalal-Edine ZAWAM [aut], Frederic Breant [ctb], Francois Guillem [aut], Benoit Thieurmel [aut], Titouan Robert [aut], Victor Perrier [ctb], Etienne Sanchez [ctb], Assil Mansouri [ctb], Clement Berthet [ctb], Kamel Kemiha [c [...truncated...]
Maintainer: Tatiana Vargas <tatiana.vargas@rte-france.com>

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More information about antaresRead at CRAN
Permanent link

Package ukbnmr updated to version 3.4 with previous version 3.3.2 dated 2026-04-12

Title: Removal of Unwanted Technical Variation from UK Biobank NMR Metabolomics Biomarker Data
Description: A suite of utilities for working with the UK Biobank <https://www.ukbiobank.ac.uk/> Nuclear Magnetic Resonance spectroscopy (NMR) metabolomics data <https://biobank.ndph.ox.ac.uk/showcase/label.cgi?id=220>. Includes functions for extracting biomarkers from decoded UK Biobank field data, removing unwanted technical variation from biomarker concentrations, computing an extended set of lipid, fatty acid, and cholesterol fractions, and for re-deriving composite biomarkers and ratios after adjusting data for unwanted biological variation. For further details on methods see Ritchie SC et al. Sci Data (2023) <doi:10.1038/s41597-023-01949-y>.
Author: Scott C Ritchie [aut, cre]
Maintainer: Scott C Ritchie <sritchie73@gmail.com>

Diff between ukbnmr versions 3.3.2 dated 2026-04-12 and 3.4 dated 2026-07-07

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Package TSGS updated to version 1.0.1 with previous version 1.0 dated 2021-09-08

Title: Trait Specific Gene Selection using SVM and GA
Description: Obtaining relevant set of trait specific genes from gene expression data is important for clinical diagnosis of disease and discovery of disease mechanisms in plants and animals. This process involves identification of relevant genes and removal of redundant genes as much as possible from a whole gene set. This package returns the trait specific gene set from the high dimensional RNA-seq count data by applying combination of two conventional machine learning algorithms, support vector machine (SVM) and genetic algorithm (GA). GA is used to control and optimize the subset of genes sent to the SVM for classification and evaluation. Genetic algorithm uses repeated learning steps and cross validation over number of possible solution and selects the best. The algorithm selects the set of genes based on a fitness function that is obtained via support vector machines. Using SVM as the classifier performance and the genetic algorithm for feature selection, a set of trait specific gene set is o [...truncated...]
Author: Md. Samir Farooqi [aut], K.K. Chaturvedi [aut], D.C. Mishra [aut], Sudhir Srivastava [cre, aut]
Maintainer: Sudhir Srivastava <sudhir0401bm@gmail.com>

Diff between TSGS versions 1.0 dated 2021-09-08 and 1.0.1 dated 2026-07-07

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More information about TSGS at CRAN
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Package SDALGCP2 updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-02

Title: Discrete Log-Gaussian Cox Processes for Aggregated Disease Counts
Description: Fits a spatially discrete approximation to a log-Gaussian Cox process model for spatially aggregated disease count data, estimated by Monte Carlo Maximum Likelihood as in Christensen (2004) <doi:10.1198/106186004X2525> and Johnson, Diggle and Giorgi (2019) <doi:10.1002/sim.8339>. Performance-critical steps (aggregated correlation assembly, Metropolis-adjusted Langevin algorithm (MALA) sampling, the Monte Carlo likelihood, and the Kronecker-structured space-time likelihood) are implemented in C++ via 'RcppArmadillo'. Provides a one-line, 'glm'-like interface and statistical extensions including a nugget term, general 'Matern' smoothness, raster and misaligned covariates, restricted spatial regression, importance-sampling diagnostics and re-anchored Monte Carlo maximum likelihood (MCML).
Author: Olatunji Johnson [aut, cre], Emanuele Giorgi [aut], Peter Diggle [aut]
Maintainer: Olatunji Johnson <olatunjijohnson21111@gmail.com>

Diff between SDALGCP2 versions 0.1.0 dated 2026-07-02 and 0.1.1 dated 2026-07-07

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Package fastLISA updated to version 1.0.1 with previous version 1.0.0 dated 2026-07-06

Title: Fast Local Indicators of Spatial Association (LISA)
Description: Computes various Local Indicators of Spatial Association (LISA) statistics, including univariate and bivariate local Moran's I, Empirical Bayes local Moran's I, univariate and multivariate local Geary's C, and Getis-Ord G and G* statistics. The methods follow Anselin (1995), Getis and Ord (1992), and Anselin (2019). Leverages a high-performance, plain-C backend with optional 'OpenMP' multi-core support for fast permutation-based pseudo-p-value calculation. Accepts any 'spdep' listw spatial weight matrix, including custom and non-contiguity weights. Uses sample standardisation (n-1) and 'rgeoda'-style permutation p-values. Output cluster codes match 'rgeoda' conventions, including the Isolated category for observations without neighbours.
Author: Lizhong Chen [aut, cre]
Maintainer: Lizhong Chen <chen.l@wehi.edu.au>

Diff between fastLISA versions 1.0.0 dated 2026-07-06 and 1.0.1 dated 2026-07-07

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More information about fastLISA at CRAN
Permanent link

New package ggpaintr with initial version 0.11.1
Package: ggpaintr
Title: Build Formula-Driven 'shiny' Apps for 'ggplot2'
Version: 0.11.1
Description: Turns a single 'ggplot2'-style formula string into a small 'shiny' application. Placeholder tokens in the formula become input widgets automatically; the package completes the expression with the current input values, renders the plot, shows the generated code, and supports uploaded datasets in different formats.
License: GPL-3
URL: https://willju-wangqian.github.io/ggpaintr/, https://github.com/willju-wangqian/ggpaintr
BugReports: https://github.com/willju-wangqian/ggpaintr/issues
Depends: R (>= 4.1.0), ggplot2 (>= 3.3.0)
Imports: assertthat (>= 0.2.0), cli (>= 2.2.0), htmltools, rlang (>= 1.0.0), shiny (>= 1.6.0), shinyWidgets (>= 0.6.4)
Suggests: bslib (>= 0.5.0), dplyr, ellmer, jsonlite, knitr, miniUI, pkgdown, plotly, purrr, readxl, rmarkdown, rstudioapi, shinytest2, testthat (>= 3.1.7), withr, writexl, xaringanExtra
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-02 06:36:08 UTC; willju
Author: Wangqian Ju [aut, cre] , Jinji Pang [aut] , Zhili Qiao [aut]
Maintainer: Wangqian Ju <wju@iastate.edu>
Repository: CRAN
Date/Publication: 2026-07-07 10:10:02 UTC

More information about ggpaintr at CRAN
Permanent link

Package flextable updated to version 0.10.0 with previous version 0.9.12 dated 2026-06-02

Title: Functions for Tabular Reporting
Description: Use a grammar for creating and customizing pretty tables. The following formats are supported: 'HTML', 'PDF', 'Typst', 'RTF', 'Microsoft Word', 'Microsoft PowerPoint', R 'Grid Graphics' and 'patchwork'. 'R Markdown', 'Quarto' and the package 'officer' can be used to produce the result files. The syntax is the same for the user regardless of the type of output to be produced. A set of functions allows the creation, definition of cell arrangement, addition of headers or footers, formatting and definition of cell content with text and or images. The package also offers a set of high-level functions that allow tabular reporting of statistical models and the creation of complex cross tabulations.
Author: David Gohel [aut, cre], ArData [cph], Clementine Jager [ctb], Eli Daniels [ctb], Panagiotis Skintzos [aut], Quentin Fazilleau [ctb], Maxim Nazarov [ctb], Titouan Robert [ctb], Michael Barrowman [ctb], Atsushi Yasumoto [ctb], Paul Julian [ctb], Sean B [...truncated...]
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between flextable versions 0.9.12 dated 2026-06-02 and 0.10.0 dated 2026-07-07

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More information about flextable at CRAN
Permanent link

New package planisphere with initial version 0.1.0
Package: planisphere
Title: Map Projections
Version: 0.1.0
Description: Applies cartographic projections to spatial data frames containing geographic coordinates. Projection methods are based on the 'D3.js' ecosystem <doi:10.1109/TVCG.2011.185> and use spherical geometry rather than ellipsoidal geodesic models.
License: GPL (>= 3)
URL: https://riatelab.github.io/planisphere/
BugReports: https://github.com/riatelab/planisphere/issues/
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: utils, sf, V8, geojsonsf, graphics
Suggests: knitr, r2d3
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-01 06:23:41 UTC; nlambert
Author: Nicolas Lambert [aut, cre]
Maintainer: Nicolas Lambert <nicolas.lambert@cnrs.fr>
Repository: CRAN
Date/Publication: 2026-07-07 09:30:02 UTC

More information about planisphere at CRAN
Permanent link

Package normality updated to version 0.0.3 with previous version 0.0.1 dated 2026-06-09

Title: Tests for Departure from Normality
Description: A toolkit for assessing data normality using a comprehensive collection of statistical methods. It includes descriptive measures and formal hypothesis tests, such as skewness and kurtosis tests, the Anderson–Darling test, the Shapiro–Wilk test, and the D'Agostino–Pearson K2 omnibus test.
Author: Joon-Keat Lai [aut, cre, cph]
Maintainer: Joon-Keat Lai <p10911004@gmail.com>

Diff between normality versions 0.0.1 dated 2026-06-09 and 0.0.3 dated 2026-07-07

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More information about normality at CRAN
Permanent link

New package nonprobsampling with initial version 0.1.0
Package: nonprobsampling
Title: Inference for Nonprobability Samples Using Multiple Reference Surveys
Version: 0.1.0
Description: Provides pseudo-weighted estimates of means and prevalences for finite population inference from nonprobability samples using auxiliary information from one or multiple probability reference surveys. The package supports estimation with multiple reference surveys, allowing auxiliary information to be combined when no single survey contains all variables relevant to participation. Optional cumulative precalibration can be applied to align weighted totals of shared variables across surveys. Methods are based on the generalized estimating equations framework of Landsman et al. (2026) <doi:10.1002/sim.70403> for correcting participation bias. For a single reference survey, the package implements the raking ratio calibration method and includes the adjusted logistic propensity (ALP) method of Wang, Valliant, and Li (2021) <doi:10.1002/sim.9122>, as well as the Chen-Li-Wu (CLW) method of Chen, Li, and Wu (2020) <doi:10.1080/01621459.2019.1677241>. Analytic variance estimati [...truncated...]
Depends: R (>= 4.0.0)
Imports: stats, survey, nleqslv, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
LazyData: true
Language: en-US
URL: https://github.com/Jiakun0611/nonprobsampling, https://jiakun0611.github.io/nonprobsampling/
BugReports: https://github.com/Jiakun0611/nonprobsampling/issues
NeedsCompilation: no
Packaged: 2026-07-02 03:20:06 UTC; Kevin
Author: Jiakun Lin [aut, cre], Victoria Landsman [aut], Aya A. Mitani [aut]
Maintainer: Jiakun Lin <jiak.lin@alumni.utoronto.ca>
Repository: CRAN
Date/Publication: 2026-07-07 10:00:02 UTC

More information about nonprobsampling at CRAN
Permanent link

New package joinery with initial version 1.0.0
Package: joinery
Title: Heuristic Index-Based Record Linkage
Version: 1.0.0
Description: Links records that refer to the same entity across sources that share no common key, such as people, firms, or addresses with spelling variation, abbreviations, or reordered words. Linkage is described declaratively as a strategy that normalises, tokenises, phonetically encodes, weights, and blocks each field; candidate pairs are then scored by the rarity-weighted overlap of their tokens and every score is attributed back to individual tokens for explainability. Strategies compose into staged pipelines of exact, fuzzy, and optional embedding-based matching that carry unmatched records forward and resolve entities as connected components. The same strategy runs on an in-memory 'data.table' backend or an out-of-core 'DuckDB' backend, and diagnostic and calibration tools help tune a strategy and filter false positives. The token-retrieval heuristic follows Doherr (2023) <doi:10.2139/ssrn.4326848>.
URL: https://edubruell.github.io/joinery/, https://github.com/edubruell/joinery
BugReports: https://github.com/edubruell/joinery/issues
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
Imports: S7, rlang (>= 1.1.0), data.table, igraph, stringi, phonics, lubridate, cli, glue, tinyplot, graphics
Depends: R (>= 4.1.0)
LazyData: true
VignetteBuilder: knitr
Suggests: duckdb, DBI, dbplyr, dplyr, tidyllm, tibble, stringdist, generics, parsnip, recipes, workflows, yardstick, probably, testthat (>= 3.0.0), withr, knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-07-01 07:40:02 UTC; ebr
Author: Eduard Bruell [aut, cre]
Maintainer: Eduard Bruell <eduard.bruell@zew.de>
Repository: CRAN
Date/Publication: 2026-07-07 09:30:07 UTC

More information about joinery at CRAN
Permanent link

Package EFAtools updated to version 0.8.0 with previous version 0.7.1 dated 2026-05-08

Title: Fast and Flexible Implementations of Exploratory Factor Analysis Tools
Description: Provides functions to perform exploratory factor analysis (EFA) procedures and compare their solutions. The goal is to provide state-of-the-art factor retention methods and a high degree of flexibility in the EFA procedures. This way, for example, implementations from R 'psych' and 'SPSS' can be compared. Moreover, functions for Schmid-Leiman transformation and the computation of omegas are provided. To speed up the analyses, some of the iterative procedures, like principal axis factoring (PAF), are implemented in C++.
Author: Markus Steiner [aut, cre] , Silvia Steiner [aut] , William Revelle [ctb], Max Auerswald [ctb], Morten Moshagen [ctb], John Ruscio [ctb], Brendan Roche [ctb], Urbano Lorenzo-Seva [ctb], David Navarro-Gonzalez [ctb], Johan Braeken [ctb], Andreas Soteri [...truncated...]
Maintainer: Markus Steiner <markus.d.steiner@gmail.com>

Diff between EFAtools versions 0.7.1 dated 2026-05-08 and 0.8.0 dated 2026-07-07

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New package didintrjl with initial version 0.2.6
Package: didintrjl
Title: Intersection Difference-in-Differences
Version: 0.2.6
Description: A wrapper for the Julia package 'DiDInt.jl' <https://ebjamieson97.github.io/DiDInt.jl/stable/> which implements intersection difference-in-differences (DID-INT), a method developed by Karim & Webb (2025) <doi:10.48550/arXiv.2412.14447>. Allows for unbiased estimation of the average effect of treatment on the treated (ATT) in cases when the common causal covariates assumption is violated. Also computes p-values for the ATT via the randomization inference procedure described in MacKinnon and Webb (2020) <doi:10.1016/j.jeconom.2020.04.024>.
License: MIT + file LICENSE
Depends: R (>= 3.4.0)
Encoding: UTF-8
SystemRequirements: Julia (>= 1.10), DiDInt.jl
BugReports: https://github.com/ebjamieson97/didintrjl/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://ebjamieson97.github.io/didintrjl/, https://github.com/ebjamieson97/undidR
Imports: JuliaConnectoR, ggplot2, rlang
NeedsCompilation: no
Packaged: 2026-07-02 00:39:26 UTC; Eric Bruce Jamieson
Author: Eric Jamieson [aut, cre, cph]
Maintainer: Eric Jamieson <ericbrucejamieson@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-07 09:50:02 UTC

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New package datey with initial version 0.1.0
Package: datey
Title: Exact Date and Duration Arithmetic on an Annual Grid
Version: 0.1.0
Description: Standardised mapping of dates onto a discrete annual grid, together with exact date and duration arithmetic. This matters when the primary unit is years but the input data uses dates. Examples are actuarial mortality experience analysis and valuation of life assurance and annuities, for which mortality rates are defined per year but experience and valuation data are typically defined using dates.
License: MIT + file LICENSE
URL: https://github.com/logmu-org/r-datey, https://r-datey.logmu.org/
BugReports: https://github.com/logmu-org/r-datey/issues
Depends: R (>= 4.0.0)
Suggests: knitr, pillar, rmarkdown, testthat (>= 3.0.0)
LinkingTo: cpp11
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: yes
Packaged: 2026-07-01 10:40:08 UTC; Tim Gordon
Author: Tim Gordon [aut, cre]
Maintainer: Tim Gordon <tim.gordon@btinternet.com>
Repository: CRAN
Date/Publication: 2026-07-07 09:30:15 UTC

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New package data4health with initial version 0.1.1
Package: data4health
Title: A Practical Workflow for Health Data Wrangling
Version: 0.1.1
Description: Provides a streamlined workflow for cleaning, transforming, filtering, aggregating, and exporting epidemiological line list data. The package is designed for public health surveillance and clinical datasets where each row represents an individual case. It supports common data-wrangling tasks and multi-format data import/export (e.g., 'csv', 'rds', 'xlsx', 'json', 'dbf'). The functions are designed to be combined into a clear and reproducible pipeline while remaining flexible enough for use in standalone data-processing steps. 'data4health' is part of the '4health' toolkit, which integrates health, climate, land-use, and socioeconomic data workflows. More information on the '4health' tools can be found on the HARMONIZE website <https://harmonize-tools.org/toolkits>.
Imports: foreign, readxl, writexl, shiny, jsonlite, GHRexplore, lubridate, plotly, shinyAce
BugReports: https://gitlab.earth.bsc.es/ghr/data4health/-/issues
License: AGPL (>= 3)
Encoding: UTF-8
URL: https://bsc-es.github.io/GHRtools/docs/data4health/data4health.html
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), shinytest2, withr
VignetteBuilder: knitr
Depends: R (>= 4.2.0)
LazyData: true
NeedsCompilation: yes
Packaged: 2026-07-01 07:03:03 UTC; dluhrsen
Author: Daniela Luehrsen [aut, cre] , Carles Mila [aut] , Raquel Lana [aut] , Rachel Lowe [aut] , Mark Adler [cph] , Daniela Petruzalek [cph]
Maintainer: Daniela Luehrsen <daniela.luhrsen@bsc.es>
Repository: CRAN
Date/Publication: 2026-07-07 09:40:08 UTC

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New package BORT with initial version 0.1.0
Package: BORT
Title: Beyond Pareto: Bi-Objective and Multi-Objective Regression Trees’
Version: 0.1.0
Author: Erick G.G. de Paz [aut, cre] , Arturo Hernandez-Aguirre [aut] , Ivan Cruz-Aceves [aut]
Maintainer: Erick G.G. de Paz <erick.giles@cimat.mx>
Description: Implements the Bi-objective Regression Tree (BORT) for efficiently learning vector-valued functions. Unlike traditional methods that rely on constructing multiple models or static scalarisation, BORT integrates the exploration of the Pareto front directly into a single tree's growth process. It provides high-efficiency, single-model approaches that can Pareto-dominate entire Pareto-consistent families of trees, supported by a C backend for fast computation. For more details see Paz (2026) <doi:10.1007/978-3-032-28393-1_2> and Paz (2025) <doi:10.1007/978-3-031-78401-9_2>.
License: GPL-2
Encoding: UTF-8
NeedsCompilation: yes
Repository: CRAN
Date: 2026-07-01
Depends: R (>= 2.10.0)
Packaged: 2026-07-01 23:27:53 UTC; erick
Date/Publication: 2026-07-07 09:50:08 UTC

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New package arcgisrouting with initial version 1.0.0
Package: arcgisrouting
Title: Access the ArcGIS Routing and Network Analysis Services
Version: 1.0.0
Description: Bindings to the ArcGIS Routing REST API (<https://developers.arcgis.com/rest/routing/>) for solving network analysis problems. Plan routes and generate driving directions, measure travel time and distance with origin-destination cost matrices, build service areas, find the closest facilities, route fleets of vehicles, and snap GPS tracks to roads. Both synchronous requests and asynchronous geoprocessing jobs are supported, returning simple features ('sf') objects ready for analysis and mapping.
License: Apache License (>= 2)
Encoding: UTF-8
Language: en
Imports: arcgisutils, cli, httr2, sf, yyjsonr, vctrs, RcppSimdJson, rlang, hms
Depends: R (>= 4.3)
Suggests: readr, heck, brio, wk, testthat (>= 3.0.0)
URL: http://r.esri.com/arcgisrouting/, https://github.com/r-arcgis/arcgisrouting
BugReports: https://github.com/r-arcgis/arcgisrouting/issues
NeedsCompilation: yes
Packaged: 2026-06-30 21:55:24 UTC; josiahparry
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-07 09:30:21 UTC

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New package actiread with initial version 0.2.0
Package: actiread
Title: Baseline Package for Reading Actigraphy and Activity Data
Version: 0.2.0
Description: Provides baseline functions for reading actigraphy and activity data, relying on baseline functions from 'actibase'. Reads data from 'Axivity' 'CWA' <https://axivity.com/> , ActiGraph 'GT3X' <https://ametris.com/actigraph-wgt3x-bt>, 'SensorLog' <https://sensorlog.berndthomas.net/>, and 'SensorLogger' <https://www.tszheichoi.com/sensorlogger> zipped CSV files.
License: GPL-3
Depends: R (>= 2.10)
Suggests: testthat, utils, covr, knitr, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
Imports: actibase, GGIRread, read.gt3x (>= 0.2.0), R.utils, magrittr, dplyr, lubridate, assertthat, cli, tibble, janitor, purrr, readr, methods
URL: https://jhuwit.github.io/actiread/
BugReports: https://github.com/jhuwit/actiread/issues
NeedsCompilation: no
Packaged: 2026-07-01 14:47:25 UTC; johnmuschelli
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-07 09:10:02 UTC

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Package scholar updated to version 1.0.0 with previous version 0.2.6 dated 2026-02-26

Title: Analyse Citation Data from Google Scholar
Description: Provides tools to retrieve, analyse, and format publication and citation data from Google Scholar profiles. It supports profile lookup, publication records, citation histories, scholar comparison, coauthor networks, journal ranking queries, CV-ready publication lists, and citation metric summaries.
Author: Guangchuang Yu [aut, cre] , James Keirstead [aut], Gregory Jefferis [aut] , Gordon Getzinger [ctb], Jorge Cimentada [ctb], Max Czapanskiy [ctb], Dominique Makowski [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between scholar versions 0.2.6 dated 2026-02-26 and 1.0.0 dated 2026-07-07

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Package microeco updated to version 2.3.0 with previous version 2.2.0 dated 2026-05-14

Title: Microbial Community Ecology Data Analysis
Description: A series of data analysis approaches for microbiome data based on the R6 class. The classes are designed for data preprocessing, taxa abundance plotting, alpha diversity analysis, beta diversity analysis, differential abundance test, null model analysis, network analysis, machine learning, environmental data analysis and functional analysis.
Author: Chi Liu [aut, cre], Felipe R. P. Mansoldo [ctb], Minjie Yao [ctb], Xiangzhen Li [ctb]
Maintainer: Chi Liu <liuchi0426@126.com>

Diff between microeco versions 2.2.0 dated 2026-05-14 and 2.3.0 dated 2026-07-07

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New package EpiScopeK with initial version 0.1.1
Package: EpiScopeK
Title: Comprehensive Epidemiological Analysis Toolkit
Version: 0.1.1
Description: Provides a unified framework for epidemiological data analysis and disease surveillance. The package supports descriptive epidemiology, incidence, prevalence and mortality estimation, age standardization, trend analysis, geographic summaries, disease risk prediction, and automated analytical workflows. Designed for researchers and public health professionals, it facilitates reproducible analyses of epidemiological datasets using established statistical and predictive modeling techniques. Methods are informed by standard epidemiological references including Rothman et al. (2008, ISBN:9780781755641) and Gordis (2014, ISBN:9781455737338).
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: dplyr, rlang
Suggests: testthat
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-07-01 11:34:53 UTC; Dr. Imtiyaz
Author: Khalid Ul Islam Rather [aut, cre]
Maintainer: Khalid Ul Islam Rather <drkhalidulislam@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-07 08:40:02 UTC

More information about EpiScopeK at CRAN
Permanent link

Package aplot updated to version 0.3.1 with previous version 0.3.0 dated 2026-06-23

Title: Decorate a 'ggplot' with Associated Information
Description: Supports data-driven composition of a main plot with associated subplots that need precise axis alignment. Unlike general layout-focused tools such as 'cowplot' and 'patchwork', it enables related subplots to be integrated on the top, bottom, left, or right sides of a main plot with matched axes, so that the combined panels can be interpreted as a coherent whole. This design was inspired by the 'Method 2' described in 'ggtree' (G Yu (2018) <doi:10.1093/molbev/msy194>).
Author: Guangchuang Yu [aut, cre] , Shuangbin Xu [ctb] , Thomas Hackl [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package HDTSA updated to version 1.0.6-2 with previous version 1.0.6-1 dated 2026-06-23

Title: High Dimensional Time Series Analysis Tools
Description: An implementation for high-dimensional time series analysis methods, including factor model for vector time series proposed by Lam and Yao (2012) <doi:10.1214/12-AOS970> and Chang, Guo and Yao (2015) <doi:10.1016/j.jeconom.2015.03.024>, martingale difference test proposed by Chang, Jiang and Shao (2023) <doi:10.1016/j.jeconom.2022.09.001>, principal component analysis for vector time series proposed by Chang, Guo and Yao (2018) <doi:10.1214/17-AOS1613>, cointegration analysis proposed by Zhang, Robinson and Yao (2019) <doi:10.1080/01621459.2018.1458620>, unit root test proposed by Chang, Cheng and Yao (2022) <doi:10.1093/biomet/asab034>, white noise tests proposed by Chang, Yao and Zhou (2017) <doi:10.1093/biomet/asw066> and Chang et al. (2026+), CP-decomposition for matrix time series proposed by Chang et al. (2023) <doi:10.1093/jrsssb/qkac011> and Chang et al. (2026+) <doi:10.48550/arXiv.2410.05634>, CP-decomposition for tensor ti [...truncated...]
Author: Jinyuan Chang [aut], Jing He [aut], Chen Lin [aut, cre], Qiwei Yao [aut]
Maintainer: Chen Lin <linchen@smail.swufe.edu.cn>

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Package aifeducation updated to version 1.1.6 with previous version 1.1.5 dated 2026-04-25

Title: Artificial Intelligence for Education
Description: In social and educational settings, the use of Artificial Intelligence (AI) is a challenging task. Relevant data is often only available in handwritten forms, or the use of data is restricted by privacy policies. This often leads to small data sets. Furthermore, in the educational and social sciences, data is often unbalanced in terms of frequencies. To support educators as well as educational and social researchers in using the potentials of AI for their work, this package provides a unified interface for neural nets in 'PyTorch' to deal with natural language problems. In addition, the package ships with a shiny app, providing a graphical user interface. This allows the usage of AI for people without skills in writing python/R scripts. The tools integrate existing mathematical and statistical methods for dealing with small data sets via pseudo-labeling (e.g. Cascante-Bonilla et al. (2020) <doi:10.48550/arXiv.2001.06001>) and imbalanced data via the creation of synthetic cases [...truncated...]
Author: Berding Florian [aut, cre] , Tykhonova Yuliia [aut] , Pargmann Julia [ctb] , Leube Anna [ctb] , Riebenbauer Elisabeth [ctb] , Rebmann Karin [ctb], Slopinski Andreas [ctb]
Maintainer: Berding Florian <florian.berding@uni-hamburg.de>

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 aifeducation-1.1.6/aifeducation/DESCRIPTION                                                |   11 
 aifeducation-1.1.6/aifeducation/MD5                                                        |  436 ++---
 aifeducation-1.1.6/aifeducation/NAMESPACE                                                  |    8 
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 aifeducation-1.1.6/aifeducation/R/Studio_BaseModel_Create.R                                |    2 
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 aifeducation-1.1.6/aifeducation/R/Studio_ExtendedTasks.R                                   |    7 
 aifeducation-1.1.6/aifeducation/R/Studio_ProgressModal.R                                   |    2 
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 aifeducation-1.1.6/aifeducation/R/def_Object_Management.R                                  |   23 
 aifeducation-1.1.6/aifeducation/R/def_ParameterDefinitions.R                               |  165 +-
 aifeducation-1.1.6/aifeducation/R/install_and_config.R                                     |  174 +-
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 aifeducation-1.1.6/aifeducation/R/obj_TEClassifierParallel.R                               |    9 
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 aifeducation-1.1.6/aifeducation/R/onLoad.R                                                 |    7 
 aifeducation-1.1.6/aifeducation/R/saving_and_loading.R                                     |    2 
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 aifeducation-1.1.6/aifeducation/R/utils_Studio.R                                           |    6 
 aifeducation-1.1.6/aifeducation/R/utils_check.R                                            |    2 
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 aifeducation-1.1.6/aifeducation/R/utils_log.R                                              |   10 
 aifeducation-1.1.6/aifeducation/R/utils_plot.R                                             |   53 
 aifeducation-1.1.6/aifeducation/R/utils_python.R                                           |   44 
 aifeducation-1.1.6/aifeducation/R/utils_python_data_management.R                           |   23 
 aifeducation-1.1.6/aifeducation/R/utils_test_that.R                                        |   35 
 aifeducation-1.1.6/aifeducation/README.md                                                  |    9 
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 aifeducation-1.1.6/aifeducation/man/cohens_kappa.Rd                                        |   14 
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 aifeducation-1.1.6/aifeducation/man/create_dir.Rd                                          |    4 
 aifeducation-1.1.6/aifeducation/man/create_object.Rd                                       |   20 
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 aifeducation-1.1.6/aifeducation/man/long_load_target_data.Rd                               |    8 
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 aifeducation-1.1.6/aifeducation/man/prepare_session.Rd                                     |   24 
 aifeducation-1.1.6/aifeducation/man/print_message.Rd                                       |   18 
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 aifeducation-1.1.6/aifeducation/man/read_log.Rd                                            |   18 
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Package valdrViz updated to version 1.0.2 with previous version 1.0.1 dated 2026-01-20

Title: Visualise and Report 'VALD ForceDecks' Test Results
Description: Provides a 'shiny' dashboard and plotting utilities to explore and report 'VALD ForceDecks' testing data. Includes interactive modules for metric exploration, radar charts, longitudinal comparisons, quadrant plots, and athlete reports.
Author: Kieran Harrison [aut, cre], VALD Support [ctb], VALD [cph]
Maintainer: Kieran Harrison <k.harrison@vald.com>

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Package ggrefine updated to version 0.5.0 with previous version 0.4.0 dated 2026-05-04

Title: Publication-Quality 'ggplot2' Themes
Description: Complete themes for publication-quality 'ggplot2' visualisation. Also provides functions to modify these based on the positional axis scales and orientation of a particular plot.
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

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Mon, 06 Jul 2026

Package ggblanket updated to version 21.0.0 with previous version 20.0.0 dated 2026-05-07

Title: Publication-Quality 'ggplot2' Visualisation
Description: Wrapper 'ggplot2' functions for publication-quality visualisation. Aligned with 'ggplot2' and 'tidyverse'. Covers much of what 'ggplot2' does.
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

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Package grainscape updated to version 1.0.0 with previous version 0.5.0 dated 2025-01-15

Title: Landscape Connectivity, Habitat, and Protected Area Networks
Description: Given a landscape resistance surface, creates minimum planar graph (Fall et al. (2007) <doi:10.1007/s10021-007-9038-7>) and grains of connectivity (Galpern et al. (2012) <doi:10.1111/j.1365-294X.2012.05677.x>) models that can be used to calculate effective distances for landscape connectivity at multiple scales. Documentation is provided by several vignettes, and a paper (Chubaty, Galpern & Doctolero (2020) <doi:10.1111/2041-210X.13350>).
Author: Paul Galpern [aut, cph] , Sam Doctolero [aut], Alex M Chubaty [aut, cre]
Maintainer: Alex M Chubaty <achubaty@for-cast.ca>

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Package ggwidth updated to version 0.1.2 with previous version 0.1.1 dated 2026-05-03

Title: Publication-Quality 'ggplot2' Geom Width
Description: Width helper functions for publication-quality 'ggplot2' visualisation. These functions make it easier to create geoms such as bars that have a consistent width appearance across plots.
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

Diff between ggwidth versions 0.1.1 dated 2026-05-03 and 0.1.2 dated 2026-07-06

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Package ggscribe updated to version 0.2.0 with previous version 0.1.1 dated 2026-05-04

Title: Publication-Quality 'ggplot2' Annotation
Description: Annotation helper functions for publication-quality 'ggplot2' visualisation. These functions make it easier to annotate plots in a way that stays consistent with the set theme.
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

Diff between ggscribe versions 0.1.1 dated 2026-05-04 and 0.2.0 dated 2026-07-06

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Package weird updated to version 3.0.0 with previous version 2.1.0 dated 2026-05-05

Title: Functions and Data Sets for "That's Weird: Anomaly Detection Using R" by Rob J Hyndman
Description: All functions and data sets required for the examples in the book Hyndman (2026) "That's Weird: Anomaly Detection Using R" <https://OTexts.com/weird/>. All packages needed to run the examples are also loaded.
Author: Rob Hyndman [aut, cre, cph] , Torben Tvedebrink [ctb], Posit Software, PBC [cph]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>

Diff between weird versions 2.1.0 dated 2026-05-05 and 3.0.0 dated 2026-07-06

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Package jumble updated to version 0.1.2 with previous version 0.1.1 dated 2026-05-04

Title: A Discrete Colour Palette
Description: A discrete colour palette. These colours make it easier to create relatively accessible and colour-blind safe visualisation.
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

Diff between jumble versions 0.1.1 dated 2026-05-04 and 0.1.2 dated 2026-07-06

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Package blends updated to version 0.1.2 with previous version 0.1.1 dated 2026-05-04

Title: Blend Colours and Palettes
Description: Colour blend functions. These functions make it easier to blend colours and palettes using digital blend modes such as multiply, screen, and overlay.
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

Diff between blends versions 0.1.1 dated 2026-05-04 and 0.1.2 dated 2026-07-06

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Package inlpubs updated to version 1.4.0 with previous version 1.3.0 dated 2025-06-25

Title: USGS INL Project Office Publications
Description: Provides bibliographic information and term-frequency text analysis tools for publications of the U.S. Geological Survey (USGS) Idaho National Laboratory (INL) Project Office. Includes datasets of publications, authors, and term frequencies, along with functions to search terms, build word clouds, and extract text and cover images from publication documents.
Author: Jason C. Fisher [aut, cre] , Kerri C. Treinen [aut] , Allison R. Trcka [aut]
Maintainer: Jason C. Fisher <jfisher@usgs.gov>

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Package bivarhr updated to version 0.1.6 with previous version 0.1.5 dated 2025-12-19

Title: Bivariate Hurdle Regression with Bayesian Model Averaging
Description: Provides tools for fitting bivariate hurdle negative binomial models with horseshoe priors, Bayesian Model Averaging (BMA) via stacking, and comprehensive causal inference methods including G-computation, transfer entropy, Threshold Vector Autoregressive (TVAR) and Smooth Transition Autoregressive (STAR) models, Dynamic Bayesian Networks (DBN), Hidden Markov Models (HMM), and sensitivity analysis.
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadore.nabi@pm.me>

Diff between bivarhr versions 0.1.5 dated 2025-12-19 and 0.1.6 dated 2026-07-06

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Package AppliedPredictiveModeling updated to version 1.2.0 with previous version 1.1-7 dated 2018-05-22

Title: Functions and Data Sets for 'Applied Predictive Modeling'
Description: A few functions and several data set for the Springer book 'Applied Predictive Modeling'.
Author: Max Kuhn [aut, cre], Kjell Johnson [aut]
Maintainer: Max Kuhn <mxkuhn@gmail.com>

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Package rfriend updated to version 3.2.0 with previous version 3.1.0 dated 2026-05-30

Title: Provides Batch Functions and Visualisation for Basic Statistical Procedures
Description: Designed to streamline data analysis and statistical testing, reducing the length of R scripts while generating well-formatted outputs in 'pdf', 'Microsoft Word', and 'Microsoft Excel' formats. In essence, the package contains functions which are sophisticated wrappers around existing R functions that are called by using 'f_' (user f_riendly) prefix followed by the normal function name. This third version of the 'rfriend' package focuses primarily on data exploration, including tools for creating summary tables, f_summary(), summary figures, f_scan(), outlier detection and removal, f_outlier() and f_remove_outliers(), performing data transformations, f_boxcox() in part based on 'MASS/boxcox' and 'rcompanion', and f_bestNormalize() which wraps and extends functionality from the 'bestNormalize' package. Furthermore, 'rfriend' can automatically (or on request) generate visualizations such as boxplots, f_boxplot(), QQ-plots, f_qqnorm(), and histograms f_hist(). Additionally, the package i [...truncated...]
Author: Sander H. van Delden [aut, cre]
Maintainer: Sander H. van Delden <plantmind@proton.me>

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Package ernest updated to version 1.2.5 with previous version 1.2.4 dated 2026-06-30

Title: A Toolkit for Nested Sampling
Description: Bayesian evidence estimation and posterior inference with the nested sampling algorithm, described in Skilling (2006) <doi:10.1214/06-BA127> and Buchner (2023) <doi:10.1214/23-SS144>, along with S3 methods for simulating uncertainty and creating visualisations.
Author: Kyle Dewsnap [aut, cre, cph] , TJ Mahr [rev], Robert Kubinec [rev], Michael Hughes [cph]
Maintainer: Kyle Dewsnap <kyle.dewsnap@ubc.ca>

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Package gsDesignNB updated to version 0.3.2 with previous version 0.2.6 dated 2026-02-16

Title: Sample Size and Simulation for Negative Binomial Outcomes
Description: Provides tools for planning and simulating recurrent event trials with overdispersed count endpoints analyzed using negative binomial (or Poisson) rate models. Implements sample size and power calculations for fixed designs with variable accrual, dropout, maximum follow-up, and event gaps, including methods of Zhu and Lakkis (2014) <doi:10.1002/sim.5947> and Friede and Schmidli (2010) <doi:10.3414/ME09-02-0060> as well as extensions for score-test sizing and gaps between events. Supports group sequential monitoring by building on the 'gsDesign' package. Includes recurrent-event simulation utilities (including seasonal rates), interim data truncation, Wald and score-test inference for rate ratios, and information estimation and sample size re-estimation with or without treatment-group labels.
Author: Keaven Anderson [aut, cre], Hongtao Zhang [aut], Andrea Maes [aut], Nan Xiao [ctb], Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph]
Maintainer: Keaven Anderson <keaven_anderson@merck.com>

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Package dumbbell updated to version 0.2 with previous version 0.1 dated 2021-02-25

Title: Displaying Changes Between Two Points Using Dumbbell Plots
Description: Creates dumbbell plots to visualize changes between two measurements for the same observations. The package provides customization options for labels, colors, arrows, delta values, and paired statistical test annotations.
Author: Foo Cheung [aut, cre]
Maintainer: Foo Cheung <foocheung@yahoo.com>

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Package tidyBdE updated to version 0.7.0 with previous version 0.6.1 dated 2026-05-21

Title: Retrieve Time Series Data from 'Banco de España'
Description: Tools for retrieving 'Banco de España' ('BdE') time series data as 'tibble' objects from bulk CSV files and the 'Statistics web service (API)'. Bulk CSV functions use stable 'BdE' sequential numbers, while API functions use API series codes. Catalog functions support discovery and local caching. Plotting helpers provide 'ggplot2' palettes, scales and themes. 'Banco de España' is the national central bank and, within the framework of the Single Supervisory Mechanism ('SSM'), the supervisor of the Spanish banking system alongside the European Central Bank. This package is not sponsored, endorsed or administered by 'Banco de España'.
Author: Diego H. Herrero [aut, cre, cph] , Banco de Espana [cph]
Maintainer: Diego H. Herrero <dev.dieghernan@gmail.com>

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Package ksformat updated to version 0.8.2 with previous version 0.7.1 dated 2026-05-21

Title: 'SAS'-Style 'PROC FORMAT' for R
Description: Provides 'SAS' 'PROC FORMAT'-like functionality for creating and applying value formats in R. Supports discrete and range-based mapping of values to labels, reverse formatting (invalue), date/time/datetime formatting with built-in 'SAS' format names, multi-label formats, expression labels evaluated at apply-time, case-insensitive matching, import/export of format definitions, and proper handling of missing values (NA, NULL, NaN).
Author: Vladimir Larchenko [aut, cre], Igor Aleschenkov [aut]
Maintainer: Vladimir Larchenko <vladimir.larchenko@keystatsolutions.com>

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Package cardx updated to version 0.3.4 with previous version 0.3.3 dated 2026-05-29

Title: Extra Analysis Results Data Utilities
Description: Create extra Analysis Results Data (ARD) summary objects. The package supplements the simple ARD functions from the 'cards' package, exporting functions to put statistical results in the ARD format. These objects are used and re-used to construct summary tables, visualizations, and written reports.
Author: Daniel D. Sjoberg [aut, cre] , Abinaya Yogasekaram [aut], Emily de la Rua [aut], Malcolm Barrett [ctb] , F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>

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Package ipeaplot updated to version 0.5.3 with previous version 0.5.2 dated 2026-05-20

Title: Add Ipea Editorial Standards to 'ggplot2' Graphics
Description: Convenient functions to create 'ggplot2' graphics following the editorial guidelines of the Institute for Applied Economic Research (Ipea).
Author: Pedro Ferreira [aut, cre], Pedro Jorge [aut], Daniel Lima [aut], Gustavo Coelho [aut], Rafael H. M. Pereira [aut], Lucas Mation [aut], Fabio Vaz [ctb], Ipea - Institue for Applied Economic Research [cph, fnd]
Maintainer: Pedro Ferreira <pedro.ferreira2@ipea.gov.br>

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Package immunogenetr updated to version 1.4.0 with previous version 1.3.0 dated 2026-05-26

Title: A Comprehensive Toolkit for Clinical HLA Informatics
Description: A comprehensive toolkit for clinical Human Leukocyte Antigen (HLA) informatics, built on 'tidyverse' <https://tidyverse.tidyverse.org/> principles and making use of Genotype List String (GL String, Mack et al. (2023) <doi:10.1111/tan.15126>) for storing and computing HLA genotype data. Specific functionalities include: coercion of HLA data in tabular format to and from GL String; calculation of matching and mismatching in all directions, with multiple output formats; automatic formatting of HLA data for searching within a GL String; truncation of molecular HLA data to a specific number of fields; and reading HLA genotypes in HML files and extracting the GL String. This library is intended for research use. Any application making use of this package in a clinical setting will need to be independently validated according to local regulations.
Author: Nicholas Brown [cre, aut] , Busra Coskun [aut]
Maintainer: Nicholas Brown <nicholas.brown@pennmedicine.upenn.edu>

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Package RCytoGPS updated to version 1.2.13 with previous version 1.2.10 dated 2026-01-29

Title: Using Cytogenetics Data in R
Description: Defines classes and methods to process text-based cytogenetics using the CytoGPS web site, then import the results into R for further analysis and graphing.
Author: Kevin R. Coombes [aut, cre], Dwayne Tally [aut]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package Polychrome updated to version 1.6.1 with previous version 1.5.4 dated 2025-04-06

Title: Qualitative Palettes with Many Colors
Description: Tools for creating, viewing, and assessing qualitative palettes with many (20-30 or more) colors. See Coombes and colleagues (2019) <doi:10.18637/jss.v090.c01>.
Author: Guy Brock [aut], Kevin R. Coombes [aut, cre]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package logitr updated to version 1.2.0 with previous version 1.1.3 dated 2025-11-18

Title: Logit Models w/Preference & WTP Space Utility Parameterizations
Description: Fast estimation of multinomial (MNL) and mixed logit (MXL) models in R. Models can be estimated using "Preference" space or "Willingness-to-pay" (WTP) space utility parameterizations. Weighted models can also be estimated. An option is available to run a parallelized multistart optimization loop with random starting points in each iteration, which is useful for non-convex problems like MXL models or models with WTP space utility parameterizations. The main optimization loop uses the 'nloptr' package to minimize the negative log-likelihood function. Additional functions are available for computing and comparing WTP from both preference space and WTP space models and for predicting expected choices and choice probabilities for sets of alternatives based on an estimated model. Mixed logit models can include uncorrelated or correlated heterogeneity covariances and are estimated using maximum simulated likelihood based on the algorithms in Train (2009) <doi:10.1017/CBO9780511805271>. [...truncated...]
Author: John Helveston [aut, cre, cph] , Connor Forsythe [ctb]
Maintainer: John Helveston <john.helveston@gmail.com>

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Package datazoom.social updated to version 0.1.1 with previous version 0.1.0 dated 2026-05-07

Title: Simplify Access to Brazilian Social Data
Description: Provides tools for downloading and processing microdata from the PNAD ContĂ­nua (PNADC, Continuous National Household Sample Survey), a rotating panel survey published quarterly by IBGE (Brazilian Institute of Geography and Statistics). Includes panel identification algorithms for linking individuals across survey waves.
Author: Laura Tavares Regadas [aut, cre], DataZoom [fnd], Igor Rigolon Veiga [aut], Arthur Lins de Vasconcellos [aut], Giulia Toscano Imbuzeiro [aut], Guilherme Jardim [aut], Pablo Chaves [aut], Breno Avidos [aut], Bernardo Sieira [aut]
Maintainer: Laura Tavares Regadas <lauratregadas@gmail.com>

Diff between datazoom.social versions 0.1.0 dated 2026-05-07 and 0.1.1 dated 2026-07-06

 DESCRIPTION                     |   12 
 LICENSE                         |    4 
 MD5                             |   48 -
 NAMESPACE                       |   13 
 NEWS.md                         |   29 
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 R/calculate_panel_attrition.R   |  192 ++---
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 R/pnad_sample.R                 |  102 +-
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 vignettes/LOAD_PNADC.Rmd        |  406 +++++------
 26 files changed, 3822 insertions(+), 3533 deletions(-)

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New package winratiosim with initial version 1.0.0
Package: winratiosim
Title: Simulate Power for Hierarchical Win Ratio Endpoints
Version: 1.0.0
Author: Se Yoon Lee [aut, cre]
Maintainer: Se Yoon Lee <seyoonlee.stat.math@gmail.com>
Description: Provides simulation tools for power analysis in two-arm clinical trials with hierarchical win ratio endpoints. The package simulates time-to-event, recurrent event, and continuous outcomes, applies prioritized pairwise win/loss scoring, and summarizes win ratio and Finkelstein-Schoenfeld test operating characteristics.
License: GPL-2
Encoding: UTF-8
Imports: parallel
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/yain22/winratiosim
BugReports: https://github.com/yain22/winratiosim/issues
Depends: R (>= 4.0.0)
NeedsCompilation: no
Packaged: 2026-06-30 01:25:44 UTC; CodexSandboxOffline
Repository: CRAN
Date/Publication: 2026-07-06 14:10:02 UTC

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Package tabular updated to version 0.2.0 with previous version 0.1.0 dated 2026-06-11

Title: Render Tables, Listings, and Figures for Clinical Submissions
Description: Render clinical submission tables, listings, and figures to 'RTF', 'LaTeX', 'HTML', 'PDF', and 'DOCX' from pre-summarised data frames, with no external 'Java' or 'SAS' dependency. Features include decimal alignment via font metrics, multi-level column headers with passthrough leaves, predicate-targeted cell styling, footnotes, group-aware pagination, and figures that wrap a plot or image in the same page chrome as a table. Built for Clinical Data Interchange Standards Consortium (CDISC) Analysis Data Model (ADaM) workflows and regulatory submissions to agencies such as the Food and Drug Administration (FDA), European Medicines Agency (EMA), and Pharmaceuticals and Medical Devices Agency (PMDA).
Author: Vignesh Thanikachalam [aut, cre, cph]
Maintainer: Vignesh Thanikachalam <about.vignesh@gmail.com>

Diff between tabular versions 0.1.0 dated 2026-06-11 and 0.2.0 dated 2026-07-06

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 tabular-0.2.0/tabular/DESCRIPTION                                               |   21 
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New package Unitary with initial version 0.3.11
Package: Unitary
Title: Quantum Simulator
Version: 0.3.11
Maintainer: Zengchao Xu <zengc.xu@aliyun.com>
Description: Provides a comprehensive toolkit for quantum computing simulation and visualization within the R environment. The package enables users to initialize qubit states, construct custom quantum gates with both unitary transformation and visual parameters, and build full quantum circuits by sequentially adding gates. It includes predefined common gates (e.g., Hadamard, Pauli-X/Y/Z, Control-NOT, Control-Z) and supports direct plotting of circuits and individual gates for intuitive analysis.
License: GPL (>= 3)
Encoding: UTF-8
Imports: Formula, grid, gtable, latex2exp, data.table
Suggests: testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-06-30 23:51:04 UTC; zengc
Author: Zengchao Xu [aut, cre, cph]
Repository: CRAN
Date/Publication: 2026-07-06 14:10:34 UTC

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New package svymargins with initial version 0.1.0
Package: svymargins
Title: Predictive Margins for Survey Analyses
Version: 0.1.0
Author: Tommi Haerkaenen [aut, cre]
Maintainer: Tommi Haerkaenen <tommi.harkanen@thl.fi>
Depends: R (>= 4.2.0)
Description: Predictive margins like in the 'Stata' procedure 'margins'. This package is based on the survey::svypredmean() function. Supported regression analyses are based on survey::svyglm() and svyVGAM::svy_vglm() functions (for multinomial logistic regression models).
License: GPL (>= 3)
Encoding: UTF-8
Imports: plyr, dplyr, stringr, survey, tidyselect, VGAM
Suggests: knitr, rmarkdown, svyVGAM
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-01 11:27:55 UTC; thah
Repository: CRAN
Date/Publication: 2026-07-06 14:30:02 UTC

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Package qtl2 updated to version 0.44 with previous version 0.42 dated 2026-06-08

Title: Quantitative Trait Locus Mapping in Experimental Crosses
Description: Provides a set of tools to perform quantitative trait locus (QTL) analysis in experimental crosses. It is a reimplementation of the 'R/qtl' package to better handle high-dimensional data and complex cross designs. Broman et al. (2019) <doi:10.1534/genetics.118.301595>.
Author: Karl W Broman [aut, cre] , R Core Team [ctb]
Maintainer: Karl W Broman <broman@wisc.edu>

Diff between qtl2 versions 0.42 dated 2026-06-08 and 0.44 dated 2026-07-06

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 19 files changed, 165 insertions(+), 32 deletions(-)

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Package NewmanOmics updated to version 1.1.3 with previous version 1.0.14 dated 2025-04-08

Title: Extending the Newman Studentized Range Statistic to Transcriptomics
Description: Extends the classical Newman studentized range statistic in various ways that can be applied to genome-scale transcriptomic or other expression data.
Author: Zachary B. Abrams [aut], Greg Gershkowitz [aut], Anoushka Joglekar [aut], Chao Liu [aut], Kevin R. Coombes [aut, cre]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

Diff between NewmanOmics versions 1.0.14 dated 2025-04-08 and 1.1.3 dated 2026-07-06

 DESCRIPTION                   |    8 +--
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New package leafareaR with initial version 0.0.1
Package: leafareaR
Title: Leaf Area Modeling, Evaluation, and Prediction
Version: 0.0.1
Description: Tools for leaf area estimation based on leaf length, leaf width, and observed leaf area. The package supports data validation, predictor generation, descriptive statistics, exploratory graphics, scatterplot matrices, linear models, nonlinear models, mixed models, model evaluation, ranking, equation generation, prediction, export of results and plots, and an interactive 'shiny' application. Methods implemented in the package are aligned with non-destructive allometric workflows described by Ribeiro et al. (2024) <doi:10.1016/j.sajb.2024.07.006>, Ribeiro et al. (2023) <doi:10.1590/1807-1929/agriambi.v27n3p209-215>, and Ribeiro et al. (2025) <doi:10.1590/0103-8478cr20230550>.
License: GPL (>= 3)
URL: https://github.com/agrobioestat/leafareaR
BugReports: https://github.com/agrobioestat/leafareaR/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.4.0)
Imports: graphics, ggplot2, lme4, lmerTest, MuMIn, reformulas, rlang, shiny, stats, utils
Suggests: knitr, readxl, rmarkdown, testthat (>= 3.0.0), writexl
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-30 22:12:47 UTC; Everthon
Author: Joao Everthon da Silva Ribeiro [aut, cre], Ester dos Santos Coelho [aut], Toshik Iarley da Silva [aut]
Maintainer: Joao Everthon da Silva Ribeiro <everthonribeiro10@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-06 14:10:19 UTC

More information about leafareaR at CRAN
Permanent link

Package islandcodes updated to version 0.2.0 with previous version 0.1.1 dated 2026-05-15

Title: Reference Data and Helpers for Small Island States and Territories
Description: A curated reference list of countries and territories with classifications for Small Island Developing States (SIDS), sub-national island jurisdictions (SNIJ), World Bank region and income group, and political association. Sub-sovereign cases such as Aruba, Curacao, Bonaire, Sint Maarten, the French overseas territories, and Aaland Islands are represented with disambiguating codes that standard country-code packages often collapse or omit. Provides predicate helpers and a tidy joiner intended to extend rather than replace 'countrycode'. Source data is maintained at <https://github.com/University-of-Aruba/island-research-reference-data> and licensed CC BY 4.0.
Author: Rendell de Kort [aut, cre] , University of Aruba [cph, fnd] Network)
Maintainer: Rendell de Kort <rendell.dekort@ua.aw>

Diff between islandcodes versions 0.1.1 dated 2026-05-15 and 0.2.0 dated 2026-07-06

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 21 files changed, 267 insertions(+), 28 deletions(-)

More information about islandcodes at CRAN
Permanent link

Package ggpubr updated to version 1.0.0 with previous version 0.6.3 dated 2026-02-24

Title: 'ggplot2' Based Publication Ready Plots
Description: The 'ggplot2' package is excellent and flexible for elegant data visualization in R. However the default generated plots require some formatting before we can send them for publication. Furthermore, to customize a 'ggplot', the syntax is opaque and this raises the level of difficulty for researchers with no advanced R programming skills. 'ggpubr' provides some easy-to-use functions for creating and customizing 'ggplot2'-based publication ready plots. This version includes modern R ecosystem compatibility updates and customizable p-value formatting presets (APA, AMA, NEJM, Lancet, GraphPad, and scientific notation) for publication workflows, plus robust sparse-subset handling in statistical annotation layers such as 'stat_compare_means()' and 'geom_pwc()', with informative per-group skip diagnostics for non-comparable subsets.
Author: Alboukadel Kassambara [aut, cre], Laszlo Erdey [ctb]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara@gmail.com>

Diff between ggpubr versions 0.6.3 dated 2026-02-24 and 1.0.0 dated 2026-07-06

 DESCRIPTION                                                       |   49 
 MD5                                                               |  454 ++-
 NAMESPACE                                                         |    7 
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 R/add_summary.R                                                   |  236 +-
 R/annotate_figure.R                                               |  155 +
 R/as_ggplot.R                                                     |   37 
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 R/background_image.R                                              |   40 
 R/bgcolor.R                                                       |   26 
 R/border.R                                                        |   36 
 R/compare_means.R                                                 |  582 +++--
 R/create_aes.R                                                    |   64 
 R/desc_statby.R                                                   |   54 
 R/diff_express.R                                                  |   40 
 R/facet.R                                                         |  154 -
 R/font.R                                                          |  137 -
 R/gene_citation.R                                                 |   33 
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 R/geom_pwc.R                                                      |  979 +++++---
 R/get_breaks.R                                                    |   38 
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More information about ggpubr at CRAN
Permanent link

New package fastLISA with initial version 1.0.0
Package: fastLISA
Title: Fast Local Indicators of Spatial Association (LISA)
Version: 1.0.0
Description: Computes various Local Indicators of Spatial Association (LISA) statistics, including univariate and bivariate local Moran's I, Empirical Bayes local Moran's I, univariate and multivariate local Geary's C, and Getis-Ord G and G* statistics. The methods follow Anselin (1995), Getis and Ord (1992), and Anselin (2019). Leverages a high-performance, plain-C backend with optional OpenMP multi-core support for fast permutation-based pseudo-p-value calculation. Accepts any 'spdep' listw spatial weight matrix, including custom and non-contiguity weights. Uses sample standardisation (n-1) and 'rgeoda'-style permutation p-values. Output cluster codes match 'rgeoda' conventions, including the Isolated category for observations without neighbours.
License: GPL-3
Encoding: UTF-8
Imports: stats
Suggests: spdep
NeedsCompilation: yes
SystemRequirements: C99, optional OpenMP
Packaged: 2026-07-01 04:32:44 UTC; lizhongc
Author: Lizhong Chen [aut, cre]
Maintainer: Lizhong Chen <chen.l@wehi.edu.au>
Repository: CRAN
Date/Publication: 2026-07-06 14:30:06 UTC

More information about fastLISA at CRAN
Permanent link

New package deckglgeoarrow with initial version 0.0.2
Package: deckglgeoarrow
Title: Use 'GeoArrow' to Add 'Deck.gl' Layers to a 'maplibregl'/'mapboxgl' Map
Version: 0.0.2
Description: Leverages the high-performance 'GeoArrow' memory layout to render potentially very large 'Deck.gl' data layers on a 'maplibregl'/'mapboxgl' map created with R package 'mapgl'. The heavy lifting is done on the 'JavaScript' side in the browser using 'deck.gl-geoarrow' (<https://github.com/geoarrow/deck.gl-geoarrow/>). Currently provides functions for adding Scatterplot (points), Path (lines) and Polygon (polygons) layers. Has support for data classes from R packages 'wk' and 'sf'. In addition, convenience functions for styling data, tooltips and popups, as well as layer management are provided. Furthermore, remotely hosted 'GeoParquet' and 'GeoArrow' files can be visualised directly in the browser, without the need to first read them into R memory. Only the styling instructions are prepared by the user in R and are then transferred to and applied in the browser as the data arrives.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Imports: geoarrow, geoarrowWidget, htmltools, htmlwidgets, nanoarrow,
Suggests: geos, mapgl, quarto, terra, tinytest, wk
VignetteBuilder: quarto
Encoding: UTF-8
URL: https://github.com/r-spatial/deckglgeoarrow, https://r-spatial.github.io/deckglgeoarrow/
BugReports: https://github.com/r-spatial/deckglgeoarrow/issues
SystemRequirements: Quarto command line tool (<https://github.com/quarto-dev/quarto-cli>).
NeedsCompilation: no
Packaged: 2026-07-01 09:55:38 UTC; tim
Author: Tim Appelhans [cre, aut] , RConsortium [fnd]
Maintainer: Tim Appelhans <tappelhans@tutamail.com>
Repository: CRAN
Date/Publication: 2026-07-06 14:30:12 UTC

More information about deckglgeoarrow at CRAN
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Package cards updated to version 0.8.1 with previous version 0.8.0 dated 2026-05-28

Title: Analysis Results Data
Description: Construct CDISC (Clinical Data Interchange Standards Consortium) compliant Analysis Results Data objects. These objects are used and re-used to construct summary tables, visualizations, and written reports. The package also exports utilities for working with these objects and creating new Analysis Results Data objects.
Author: Daniel D. Sjoberg [aut, cre] , Becca Krouse [aut], Emily de la Rua [aut] , Davide Garolini [aut] , Malan Bosman [aut] , F. Hoffmann-La Roche AG [cph, fnd], Alanah Jonas [aut], GlaxoSmithKline Research & Development Limited [cph]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>

Diff between cards versions 0.8.0 dated 2026-05-28 and 0.8.1 dated 2026-07-06

 DESCRIPTION                              |   11 ++-
 MD5                                      |   40 ++++++------
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 tests/testthat/test-unlist_ard_columns.R |    9 ++
 21 files changed, 309 insertions(+), 269 deletions(-)

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Permanent link

Package bidser updated to version 0.5.0 with previous version 0.2.0 dated 2026-02-19

Title: Work with 'BIDS' (Brain Imaging Data Structure) Projects
Description: Tools for working with 'BIDS' (Brain Imaging Data Structure) formatted neuroimaging datasets. The package provides functionality for reading and querying 'BIDS'-compliant projects, creating mock 'BIDS' datasets for testing, and extracting preprocessed data from 'fMRIPrep' derivatives. It supports searching and filtering 'BIDS' files by various entities such as subject, session, task, and run to streamline neuroimaging data workflows. See Gorgolewski et al. (2016) <doi:10.1038/sdata.2016.44> for the 'BIDS' specification.
Author: Bradley Buchsbaum [aut, cre]
Maintainer: Bradley Buchsbaum <brad.buchsbaum@gmail.com>

Diff between bidser versions 0.2.0 dated 2026-02-19 and 0.5.0 dated 2026-07-06

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Package ArvindSt readmission to version 1.1.0 with previous version 1.0.0 dated 2026-05-11

Title: Five Novel Stochastic Regression Models with Arvind-Distributed Errors and Effects
Description: Implements the 'Arvind' distribution and five novel stochastic regression models that replace the traditional Gaussian error assumption with 'Arvind'-distributed errors. The 'Arvind' distribution is a flexible single-parameter continuous distribution on the positive real line characterised by a polynomial numerator with Gaussian-type decay. The package provides complete distribution functions (darvind(), parvind(), qarvind(), rarvind()), maximum likelihood estimation via fit_arvind_mle(), and five model-fitting routines: Random Walk on Coefficients via fit_rw1(), Time-Varying Coefficient Linear Model via fit_tvlm(), Simulation-Extrapolation via fit_simex(), Mixed-Effects Regression via fit_mixed(), and Regime-Switching Hidden Markov Model via fit_hmm(). Additionally provides Monte Carlo forecasting with prediction intervals via forecast_arvind(), comprehensive goodness-of-fit diagnostics (21 metrics and 25 plots) via diagnostics_arvind() and plot_arvind(), k-fold and rolling-window cro [...truncated...]
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>

This is a re-admission after prior archival of version 1.0.0 dated 2026-05-11

Diff between ArvindSt versions 1.0.0 dated 2026-05-11 and 1.1.0 dated 2026-07-06

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 8 files changed, 147 insertions(+), 48 deletions(-)

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Package tsqr updated to version 0.2.0 with previous version 0.1.2 dated 2026-06-22

Title: Sequential Threshold-Spatial-Quantile Panel Estimation
Description: Implements a sequential panel estimation protocol for regional economic panels that combines three estimation layers in a fixed order. The first layer applies a two-way fixed effects baseline. The second layer applies the panel threshold regression method of Hansen (1999) <doi:10.1016/S0304-4076(99)00025-1> to identify structural breaks at an unknown threshold of a moderating variable, with bootstrap inference following Hansen (2000) <doi:10.1111/1468-0262.00124>. The third layer applies a spatial Durbin model with an impact decomposition following LeSage and Pace (2009, ISBN:978-1-4200-6424-7) to quantify direct and indirect spillover effects. The fourth layer applies the two-step panel quantile estimator of Canay (2011) <doi:10.1111/j.1368-423X.2011.00349.x> to document distributional heterogeneity in the outcome. The threshold identified in the second layer defines a subsample used as structured input to the fourth layer, and a consistency check evaluates whether t [...truncated...]
Author: Prakash Vhankade [aut, cre]
Maintainer: Prakash Vhankade <prakash.vhankade@gipe.ac.in>

Diff between tsqr versions 0.1.2 dated 2026-06-22 and 0.2.0 dated 2026-07-06

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 21 files changed, 640 insertions(+), 771 deletions(-)

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New package shrinkr with initial version 0.4.5
Package: shrinkr
Title: Modular Bayesian Hierarchical Shrinkage Models
Version: 0.4.5
Date: 2026-06-29
Description: Implements a two-stage Bayesian hierarchical modeling framework for applying shrinkage to subgroup-specific effects. The package separates model fitting (Stage 1) from hierarchical shrinkage (Stage 2), enabling modular sensitivity analyses without refitting expensive Markov chain Monte Carlo (MCMC) chains. Supports flexible prior specifications through the 'distributional' package, mixture approximations via 'mclust', and efficient 'Stan'-based inference.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: rstan (>= 2.32.7), mclust, posterior, distributional, cli, tibble, dplyr, purrr, stats, utils, methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstantools (>= 2.5.0)
Suggests: testthat (>= 3.0.0), ggplot2, knitr, rmarkdown, patchwork, tidybayes, bayesplot, tidyverse, ggdist, ggridges, brms, tidyr, survival, MASS, Matrix, beastt
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.32.7), StanHeaders (>= 2.32.10)
SystemRequirements: GNU make, C++17 compiler
Biarch: true
URL: https://gsk-biostatistics.github.io/shrinkr/
BugReports: https://github.com/GSK-Biostatistics/shrinkr/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-06-29 20:46:16 UTC; jmaro
Author: Jacob M. Maronge [aut, cre] , GlaxoSmithKline Research & Development Limited [cph, fnd], Trustees of Columbia University [cph]
Maintainer: Jacob M. Maronge <jacob.m.maronge@gsk.com>
Repository: CRAN
Date/Publication: 2026-07-06 13:40:02 UTC

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New package R6Nomogram with initial version 1.0
Package: R6Nomogram
Version: 1.0
Title: Create, Edit, and Plot Nomograms using R6 Objects
License: GPL (>= 2)
Maintainer: Greg Snow <538280@gmail.com>
Description: Nomograms are a type of plot for displaying linear models. A scale is plotted for each predictor in the model that translates values of the variable into "points", the sum of the "points" is then looked up on another scale to find the final prediction from the model. This package provides an R6 object constructor that does the computations for you to create an object representing the nomogram for the model. Methods and fields in the object allow you to customize the nomogram. You can then plot the nomogram, further customize, replot, etc. These types of nomograms are described in Harrell (2015) <doi:10.1007/978-3-319-19425-7>.
URL: https://github.com/glsnow/R6Nomogram
Imports: R6
Suggests: quarto
Encoding: UTF-8
VignetteBuilder: quarto
NeedsCompilation: no
Packaged: 2026-06-30 19:03:53 UTC; gls33
Author: Greg Snow [aut, cre]
Repository: CRAN
Date/Publication: 2026-07-06 13:50:17 UTC

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Package parglm updated to version 0.2.0 with previous version 0.1.10 dated 2026-05-22

Title: Parallel GLM
Description: Provides a parallel estimation method for generalized linear models without compiling with a multithreaded LAPACK or BLAS.
Author: Benjamin Christoffersen [aut] , Anthony Williams [cph], Boost developers [cph], Tom Palmer [aut, cre]
Maintainer: Tom Palmer <remlapmot@hotmail.com>

Diff between parglm versions 0.1.10 dated 2026-05-22 and 0.2.0 dated 2026-07-06

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 10 files changed, 96 insertions(+), 23 deletions(-)

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New package mundoLindey with initial version 0.1.0
Package: mundoLindey
Title: Educational Statistics Tables and Graphs
Version: 0.1.0
Description: Provides Spanish-language educational tools for descriptive statistics, probability calculations, frequency tables, and graphics. The package is designed for introductory statistics workflows and returns printable summaries, tables, and optional 'ggplot2' visualizations. The graphical tools build on the grammar of graphics described by Wickham (2016, ISBN:978-3-319-24277-4).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2, grDevices, grid, stats, utils
NeedsCompilation: no
Packaged: 2026-06-30 18:56:01 UTC; Lenovo
Author: Fredy Santiago Flores Espinoza [aut, cre]
Maintainer: Fredy Santiago Flores Espinoza <fredyfloresespinoza@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-06 13:50:06 UTC

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New package meow with initial version 1.0.0
Package: meow
Title: Unified Framework for Computer Adaptive Testing Simulations
Version: 1.0.0
Description: Provides an extensible framework for conducting simulations to compare data generating processes, item selection algorithms, parameter update algorithms, and stopping rules in computer adaptive testing (CAT) applications. Bundled algorithms include the Elo-based update rules of Klinkenberg, Straatemeier and van der Maas (2011) <doi:10.1016/j.compedu.2011.02.003> and Vermeiren, Kruis, Bolsinova, van der Maas and Hofman (2025) <doi:10.1016/j.caeai.2025.100376>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rfast, stats
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://klintkanopka.com/meow/
BugReports: https://github.com/klintkanopka/meow/issues
VignetteBuilder: knitr
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-06-30 16:40:20 UTC; klintkanopka
Author: Klint Kanopka [aut, cre] , Sophia Deng [aut]
Maintainer: Klint Kanopka <klint.kanopka@nyu.edu>
Repository: CRAN
Date/Publication: 2026-07-06 13:30:08 UTC

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New package mellio with initial version 1.0.1
Package: mellio
Title: Polished, Editable Tables and Statistical Results
Version: 1.0.1
Description: Sends supported 'R' objects to the 'Mellio' web app and creates polished, editable statistical tables in 'R'. The 'mellio_open' interface handles common hypothesis tests, model objects, model comparisons, descriptive summaries, tabular data, plots, and image files. The 'melliotab' interface formats data frames, model summaries, correlation matrices, and side-by-side comparison tables with APA-style numeric formatting, confidence intervals, table notes, and optional significance markers. Manual table helpers can copy or save 'melliotab' output as 'HTML', 'LaTeX', or 'Markdown' when file-based handoff is needed. Payloads include package-version metadata to support reproducible reporting and software citation.
License: MIT + file LICENSE
URL: https://www.mellioapp.com, https://github.com/NicoMel1907/mellio-r
BugReports: https://github.com/NicoMel1907/mellio-r/issues
Depends: R (>= 4.1.0)
Imports: gt (>= 0.10.0), jsonlite, methods, broom (>= 1.0.0), rlang (>= 1.0.0), cli (>= 3.6.0)
Suggests: ggplot2 (>= 3.4.0), lattice, htmlwidgets, webshot2, ggExtra, plotly, psych, afex, effectsize, emmeans, multcomp, ordinal, MASS, forecast, geepack, randomForest, brms, rstanarm, car, mediation, lavaan (>= 0.6.0), lmerTest, broom.mixed (>= 0.2.9), lme4, mgcv, nnet, nlme, performance, rstatix, survival, rstudioapi (>= 0.14), digest (>= 0.6.0), knitr (>= 1.40), rmarkdown (>= 2.20), testthat (>= 3.0.0), withr (>= 2.5.0)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-29 16:00:03 UTC; melihcan
Author: Melih Sahin [aut, cre]
Maintainer: Melih Sahin <nicomelpro@pm.me>
Repository: CRAN
Date/Publication: 2026-07-06 13:10:02 UTC

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Package L0ggm updated to version 0.1.1 with previous version 0.1.0 dated 2026-05-15

Title: Smooth L0 Penalty Approximations for Gaussian Graphical Models
Description: Provides smooth approximations to the L0 norm penalty for estimating sparse Gaussian graphical models (GGMs). Network estimation is performed using the Local Linear Approximation (LLA) framework (Fan & Li, 2001 <doi:10.1198/016214501753382273>; Zou & Li, 2008 <doi:10.1214/009053607000000802>) with five penalty functions: arctangent (Wang & Zhu, 2016 <doi:10.1155/2016/6495417>), EXP (Wang, Fan, & Zhu, 2018 <doi:10.1007/s10463-016-0588-3>), Gumbel, Log (Candes, Wakin, & Boyd, 2008 <doi:10.1007/s00041-008-9045-x>), and Weibull. Adaptive penalty parameters for EXP, Gumbel, and Weibull are estimated via maximum likelihood, and model selection uses information criteria including AIC, BIC, and EBIC (Extended BIC). Simulation functions generate multivariate normal data from GGMs with stochastic block model or small-world (Watts-Strogatz) network structures.
Author: Alexander Christensen [aut, cre] , Jeongwon Choi [ctb] , John Fox [cph, ctb] , Yves Rosseel [cph, ctb] , Alexander Robitzsch [cph, ctb] , David Blackman [ctb] , Sebastiano Vigna [ctb] , John Burkardt [cph, ctb]
Maintainer: Alexander Christensen <alexpaulchristensen@gmail.com>

Diff between L0ggm versions 0.1.0 dated 2026-05-15 and 0.1.1 dated 2026-07-06

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 MD5                        |   28 ++++++++++++------------
 NEWS                       |   12 ++++++++++
 R/edge_confusion.R         |    2 -
 R/network_estimation.R     |   51 +++++++++++++++++++++++++++++++--------------
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 R/weibull_parameters.R     |    9 ++++---
 man/network_estimation.Rd  |   24 +++++++++++++--------
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 15 files changed, 105 insertions(+), 62 deletions(-)

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New package landgraph with initial version 0.0.1
Package: landgraph
Title: Graphs and Covariance for Landscape Genetics
Version: 0.0.1
Date: 2026-06-11
Description: Shared, dependency-light primitives for landscape-genetic network methods: a lightweight deme/landscape graph (vertex coordinates and an undirected edge list) with constructors from coordinates; genetic covariance and distance from biallelic or multiallelic data (the Yang-style normalized-dosage covariance and the Dyer-style multivariate covariance); and antisymmetric per-edge directional covariate builders (the gradient of a scalar potential, and the projection of a vector flow field). Used by 'terradish' (symmetric resistance) and 'dragonflow' (asymmetric gene flow). No compiled code.
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats
Suggests: terra, deldir, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/wpeterman/landgraph
BugReports: https://github.com/wpeterman/landgraph/issues
NeedsCompilation: no
Packaged: 2026-06-30 18:24:49 UTC; peterman.73
Author: Bill Peterman [aut, cre, cph], Nathaniel S. Pope [aut, cph]
Maintainer: Bill Peterman <peterman.73@osu.edu>
Repository: CRAN
Date/Publication: 2026-07-06 13:50:11 UTC

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New package htna with initial version 0.1.0
Package: htna
Title: Heterogeneous Transition Network Analysis
Version: 0.1.0
Description: Implements the Heterogeneous Transition Network Analysis (HTNA) method described by LĂ³pez-Pernas et al. (2026) <doi:10.1002/jcal.70285>. The method is an extension of transition network analysis (TNA) where actions or events belong to two or more distinct actor types (e.g. Human and AI),preserving the actor type partition on the resulting network. Provides a thin, focused API on top of the 'Nestimate' estimation engine and the 'cograph' rendering engine, so downstream bootstrap, permutation, reliability, centrality, and plotting functions treat each actor's codes as a distinct node group.
License: MIT + file LICENSE
URL: https://sonsoles.me/htna/
BugReports: https://github.com/sonsoleslp/htna/issues
Depends: R (>= 4.1.0)
Imports: Nestimate, cograph, igraph
Suggests: codyna, ggplot2, janitor, knitr, rmarkdown, gridExtra, testthat (>= 3.0.0), tna
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2026-06-30 21:01:40 UTC; slopezpe
Author: Sonsoles Lopez-Pernas [aut, cre, cph], Kamila Misiejuk [aut, cph], Mohammed Saqr [aut, cph]
Maintainer: Sonsoles Lopez-Pernas <sonsoles.lopez@uef.fi>
Repository: CRAN
Date/Publication: 2026-07-06 14:00:02 UTC

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Package hockeystick updated to version 0.9.0 with previous version 0.8.7 dated 2026-05-11

Title: Download and Visualize Essential Climate Change Data
Description: Provides easy access to essential climate change datasets to non-climate experts. Users can download the latest raw data from authoritative sources and view it via pre-defined 'ggplot2' charts. Datasets include atmospheric CO2, methane, emissions, instrumental and proxy temperature records, sea levels, Arctic/Antarctic sea-ice, Hurricanes, and Paleoclimate data. Sources include: NOAA Mauna Loa Laboratory <https://gml.noaa.gov/ccgg/trends/data.html>, Global Carbon Project <https://www.globalcarbonproject.org/carbonbudget/>, NASA GISTEMP <https://data.giss.nasa.gov/gistemp/>, National Snow and Sea Ice Data Center <https://nsidc.org/home>, CSIRO <https://research.csiro.au/slrwavescoast/sea-level/measurements-and-data/sea-level-data/>, NOAA Laboratory for Satellite Altimetry <https://www.star.nesdis.noaa.gov/socd/lsa/SeaLevelRise/> and HURDAT Atlantic Hurricane Database <https://www.aoml.noaa.gov/hrd/hurdat/Data_Storm.html>, Vostok Paleo carbon dio [...truncated...]
Author: Hernando Cortina [aut, cre]
Maintainer: Hernando Cortina <hch@alum.mit.edu>

Diff between hockeystick versions 0.8.7 dated 2026-05-11 and 0.9.0 dated 2026-07-06

 DESCRIPTION                         |    6 
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New package dosr with initial version 0.3.4
Package: dosr
Depends: R (>= 4.1.0)
Title: Survey Analysis Tools for the Chilean Social Observatory
Version: 0.3.4
Description: Provides high-level functions to compute estimates (means, proportions, totals, ratios and quantiles) for complex survey designs, with automatic classification of statistical reliability, between-year significance tests and standardised report generation in 'Excel' format (via 'openxlsx'). It was developed for the Social Observatory ('Observatorio Social') of the Chilean Ministry of Social Development and implements its data-quality criteria, but it can be applied to any complex-survey design (for example the Chilean 'CASEN' household survey, included as example data). The reliability criteria follow Division Observatorio Social (2023) <https://bidat.gob.cl/details/ficha/dato/manual-para-la-investigacion-casen-2022> and Instituto Nacional de Estadisticas (2020) <https://www.ine.gob.cl/inicio/documentos-de-trabajo/documento/fundamentos-del-est%C3%A1ndar-para-la-evaluaci%C3%B3n-de-la-calidad-de-las-estimaciones-en-encuestas-de-hogares>; complex-survey estimation methods follo [...truncated...]
License: MIT + file LICENSE
Language: es
Encoding: UTF-8
LazyData: true
Imports: dplyr, srvyr, tidyr, purrr, haven, rlang, future, furrr, openxlsx, stringr, labelled, tibble
Suggests: testthat (>= 3.0.0), survey, knitr, rmarkdown, withr
VignetteBuilder: knitr
URL: https://gabrielsotomayorl.github.io/dosr/, https://github.com/GabrielSotomayorl/dosr
BugReports: https://github.com/GabrielSotomayorl/dosr/issues
NeedsCompilation: no
Packaged: 2026-06-30 14:01:15 UTC; gabrielsotomayor
Author: Gabriel Sotomayor [aut, cre]
Maintainer: Gabriel Sotomayor <gabrielsotomayorl@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-06 13:10:09 UTC

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New package complexr with initial version 1.0.1
Package: complexr
Title: 'Shiny' Interface for Complex Survey Data Analysis
Version: 1.0.1
Description: Provides a 'Shiny'-based interactive interface for the analysis of complex survey data. The package supports data import from multiple file formats, construction and diagnosis of complex survey designs with stratification, clustering, and sampling weights, as well as estimation of means, totals, proportions, associated standard errors, confidence intervals, and design effects. The multilingual interface facilitates the analysis and visualization of survey results without requiring specialized programming knowledge.
License: GPL (>= 3)
URL: https://github.com/stalynGuerrero/complexr
BugReports: https://github.com/stalynGuerrero/complexr/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, tibble, tidyr, readr, readxl, haven, rlang, purrr, shiny, tools, stats, utils, srvyr, survey, magrittr, ggplot2, jsonlite, writexl, DT, tidyselect
Suggests: convey, knitr, rmarkdown, quarto, printr, testthat (>= 3.0.0), spelling
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2026-06-30 13:51:15 UTC; STALYN
Author: Stalyn Guerrero Gomez [aut, cre]
Maintainer: Stalyn Guerrero Gomez <guerrerostalyn@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-06 13:10:15 UTC

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New package autosync with initial version 0.1.0
Package: autosync
Title: 'Automerge' Sync Server and Client
Version: 0.1.0
Description: A WebSocket-based implementation of the 'automerge-repo' synchronization protocol used by 'sync.automerge.org'. Acts as a sync server, enabling 'R' to serve as a synchronization hub for 'Automerge' clients in 'JavaScript', 'Rust', and other languages, and as a client for fetching, editing, and synchronizing documents hosted on remote servers.
License: MIT + file LICENSE
URL: https://posit-dev.github.io/autosync/, https://github.com/posit-dev/autosync
BugReports: https://github.com/posit-dev/autosync/issues
Depends: R (>= 4.4)
Imports: automerge (>= 0.4.0), httr2 (>= 1.2.3), jose, later, nanonext (>= 1.8.1), promises, secretbase (>= 1.3.0)
Suggests: openssl, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-06-30 20:04:11 UTC; cg334
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Charlie Gao <charlie.gao@posit.co>
Repository: CRAN
Date/Publication: 2026-07-06 14:00:10 UTC

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Package statgenHTP updated to version 1.0.9.4 with previous version 1.0.9.3 dated 2026-07-01

Title: High Throughput Phenotyping (HTP) Data Analysis
Description: Phenotypic analysis of data coming from high throughput phenotyping (HTP) platforms, including different types of outlier detection, spatial analysis, and parameter estimation. The package is being developed within the EPPN2020 project (<https://cordis.europa.eu/project/id/731013>). Some functions have been created to be used in conjunction with the R package 'asreml' for the 'ASReml' software, which can be obtained upon purchase from 'VSN' international (<https://vsni.co.uk/software/asreml-r/>).
Author: Emilie J Millet [aut] , Maria Xose Rodriguez Alvarez [aut] , Diana Marcela Perez Valencia [aut] , Isabelle Sanchez [aut], Nadine Hilgert [aut], Bart-Jan van Rossum [aut, cre] , Fred van Eeuwijk [aut] , Martin Boer [aut]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

Diff between statgenHTP versions 1.0.9.3 dated 2026-07-01 and 1.0.9.4 dated 2026-07-06

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Package SPACO updated to version 1.0.2 with previous version 1.0.0 dated 2026-03-31

Title: Spatial Component Analysis for Spatial Sequencing Data
Description: Spatial components offer tools for dimension reduction and spatially variable gene detection for high dimensional spatial transcriptomics data. Construction of a projection onto low-dimensional feature space of spatially dependent metagenes offers pre-processing to clustering, testing for spatial variability and denoising of spatial expression patterns. For more details, see Koehler et al. (2026) <doi:10.1093/bioinformatics/btag052>.
Author: David Koehler [aut, cre]
Maintainer: David Koehler <koehler@imbie.uni-bonn.de>

Diff between SPACO versions 1.0.0 dated 2026-03-31 and 1.0.2 dated 2026-07-06

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Package risk.assessr updated to version 4.1.1 with previous version 4.1.0 dated 2026-06-11

Title: Assessing Package Risk Metrics
Description: A reliable and validated tool that captures detailed risk metrics such as R 'CMD' check, test coverage, traceability matrix, documentation, dependencies, reverse dependencies, suggested dependency analysis, repository data, and enhanced reporting for R packages that are local or stored on remote repositories such as GitHub, CRAN, and Bioconductor.
Author: Edward Gillian [cre, aut] , Hugo Bottois [aut] , Paulin Charliquart [aut], Andre Couturier [aut], Sanofi [cph, fnd]
Maintainer: Edward Gillian <edward.gillian-ext@sanofi.com>

Diff between risk.assessr versions 4.1.0 dated 2026-06-11 and 4.1.1 dated 2026-07-06

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New package nemoR with initial version 0.99.3
Package: nemoR
Title: Access Open 'NeMO Archive' Datasets
Version: 0.99.3
Author: Maciej Pietrzak [aut, cre] , AbdElrahman Amer [aut]
Maintainer: Maciej Pietrzak <pietrzak.20@osu.edu>
Description: Provides helpers for discovering, planning, and downloading open-access datasets from the Neuroscience Multi-Omic Archive ('NeMO'; <https://nemoarchive.org/>). The package builds reproducible file manifests that record search parameters, file metadata, download URLs, checksums, and local file paths. It supports exploratory 'NeMO' metadata queries and provides first-pass bridges from downloaded files into 'SingleCellExperiment' and 'Seurat' workflows.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.3)
Imports: httr2, jsonlite, tibble
Suggests: BiocFileCache, BiocStyle, DropletUtils, knitr, Matrix, rmarkdown, Seurat, SingleCellExperiment, S4Vectors, testthat (>= 3.0.0), zellkonverter
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-30 13:01:17 UTC; pietrzak.20
Repository: CRAN
Date/Publication: 2026-07-06 12:30:02 UTC

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New package glyph with initial version 0.1.0
Package: glyph
Title: A Next-Generation Grammar of Interactive Graphics
Version: 0.1.0
Description: A modern visualization grammar that treats interactivity, animation, and composable layouts as first-class concepts rather than afterthoughts. Designed to address key limitations of existing grammars: native hover, click, and zoom events, 'WebGL'-accelerated rendering for large datasets, built-in multi-plot composition, and a token-based theming system. Renders to interactive HTML widgets via 'D3.js' or static SVG from a single declarative specification.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: htmlwidgets (>= 1.6.0), jsonlite (>= 1.8.0), rlang (>= 1.1.0), cli (>= 3.6.0), grDevices, utils, tools
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/josh45-source/glyph
BugReports: https://github.com/josh45-source/glyph/issues
NeedsCompilation: no
Packaged: 2026-06-30 12:23:31 UTC; Joshua
Author: Joash Joshua Ayo [aut, cre]
Maintainer: Joash Joshua Ayo <joashjoshua789@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-06 12:30:08 UTC

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New package GeoVersa with initial version 0.3.0
Package: GeoVersa
Title: Design-Based Residual-Correction Forests for Digital Soil Mapping
Version: 0.3.0
Description: Implements DB-TARF (Design-Based Targeted Adaptive Residual Forest) for large-scale digital soil and ecological mapping evaluated under the design-based paradigm of Wadoux et al. (2021) <doi:10.1016/j.ecolmodel.2021.109692>. A random forest is augmented by a cross-fitted, out-of-fold-selected residual correction (residual forests, ordinary kriging, recalibration), together with design-based conformal prediction intervals.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ranger, caret, stats, withr
Suggests: Cubist, gstat, sp, nnet, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-06-30 03:56:03 UTC; rodrigues.h
Author: Hugo Rodrigues [aut, cre]
Maintainer: Hugo Rodrigues <rodrigues.machado.hugo@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-06 12:30:14 UTC

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Package bfbin2arm updated to version 0.1.5 with previous version 0.1.4 dated 2026-06-23

Title: Bayes Factor Design for Two-Arm Binomial Trials
Description: Design and analysis of one- and two-stage binomial clinical phase II trials using Bayes factors. Implements Bayes factors for point-null and directional hypotheses, predictive densities under different hypotheses, and power and sample size calibration. Both one-arm trials with only a single treatment arm and two-arm trials with treatment and control arm are implemented for the one- and two-stage designs.
Author: Riko Kelter [aut, cre]
Maintainer: Riko Kelter <rkelter@uni-koeln.de>

Diff between bfbin2arm versions 0.1.4 dated 2026-06-23 and 0.1.5 dated 2026-07-06

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 bfbin2arm-0.1.5/bfbin2arm/MD5                                                                                     |  126 +--
 bfbin2arm-0.1.5/bfbin2arm/NAMESPACE                                                                               |   11 
 bfbin2arm-0.1.5/bfbin2arm/R/design_singlearm_onestage_bf.R                                                        |    2 
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Permanent link

New package agentr with initial version 0.2.8.4
Package: agentr
Title: Specification and Review Scaffolding for AI Agent Workflows
Version: 0.2.8.4
Description: Specification, review, and scaffolding helpers for AI agent systems. The package standardizes workflow, memory, knowledge, interface, proposal, and review artifacts so humans and coding assistants can infer, inspect, revise, and hand off task designs. It intentionally excludes communication layers, provider-specific model client code, and full runtime execution engines so that design artifacts and implementation transport remain cleanly separated.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: R6, jsonlite, rlang, yaml
Suggests: DiagrammeR, DiagrammeRsvg, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-06-30 13:51:26 UTC; oliver
Author: Oliver Zhou [aut, cre]
Maintainer: Oliver Zhou <oliver.yxzhou@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-06 12:50:09 UTC

More information about agentr at CRAN
Permanent link

New package sksr with initial version 0.1.0
Package: sksr
Title: Labels for Danish SKS Codes
Version: 0.1.0
Description: The public available Danish SKS (Sundhedsvæsenets Klassifikationssystem) and SNOMED (Systematized Nomenclature of Medicine) codes with labels. The labels are useful to sort and make sense of microdata in closed computing environments. Current as of april 2026 (SNOMED) and june 2026 (SKS). SNOMED <https://www.patobank.dk/snomed/> and SKS <https://filer.sundhedsdata.dk/sks/data/skscomplete/>.
License: MIT + file LICENSE
URL: https://github.com/LarsHernandez/sksr
BugReports: https://github.com/LarsHernandez/sksr/issues
Encoding: UTF-8
Suggests: rmarkdown
Imports: Rdpack
Depends: R (>= 3.5.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-06-30 11:24:04 UTC; BP11MK
Author: Lars Boerty [aut, cre]
Maintainer: Lars Boerty <lars.borty@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-06 11:50:02 UTC

More information about sksr at CRAN
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New package RSO with initial version 1.0.0
Package: RSO
Title: Ridge Selection Operator for Sparse Linear Regression
Version: 1.0.0
Description: Implements the Ridge Selection Operator (RSO) for variable selection in linear regression as proposed by Wu (2021) <doi:10.1080/00401706.2020.1791254>. The RSO method extends classical ridge regression by using individually penalized ridge parameters, inducing sparsity through reciprocal penalty parameters. This package provides a fast C++ implementation ('RSOFast') using 'Armadillo' linear algebra routines. The fast implementation precomputes matrix products, uses Cholesky factorization with primal/dual switching, and performs golden-section search for coordinate optimization.
License: GPL (>= 3)
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp
NeedsCompilation: yes
Packaged: 2026-06-30 11:07:05 UTC; murat
Author: Murat Genc [aut, cre], Adewale Lukman [aut]
Maintainer: Murat Genc <mgenc@cu.edu.tr>
Repository: CRAN
Date/Publication: 2026-07-06 11:50:14 UTC

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New package fscontext with initial version 0.2.0
Package: fscontext
Title: File System Contextualisation and Record Set Reconstruction
Version: 0.2.0
Language: en-GB
Description: Provides a provenance-aware framework for contextual reconstruction from file systems and related digital resource collections. The package creates reproducible snapshots of file-level metadata, paths, repository context, and optional content signatures. It supports contextual grouping, structural abstraction, temporal analysis, semantic stabilization, duplicate and reuse detection, and lightweight workflow reconstruction from file system observations. The framework deliberately separates observational evidence, contextual abstraction, semantic interpretation, and analytical reconstruction, enabling reproducible workflows that can be inspected by reviewers. It is designed to support future alignment with archival and contextual knowledge representation models, including the World Wide Web Consortium Provenance Ontology (PROV-O): Lebo et al. (2013) <https://www.w3.org/TR/prov-o/> and Records in Contexts developed by the International Council on Archives Expert Group on Archival De [...truncated...]
License: GPL (>= 3)
URL: https://fscontext.dataobservatory.eu/
BugReports: https://github.com/dataobservatory-eu/fscontext/issues
Encoding: UTF-8
Imports: digest, fs, progress, dplyr, utils, rlang, purrr, dataset, stats, tools, glue, tibble, tidyr, magrittr, stringr, labelled, jsonlite
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2026-06-30 07:46:45 UTC; DanielAntal
Author: Daniel Antal [aut, cre]
Maintainer: Daniel Antal <daniel.antal@dataobservatory.eu>
Repository: CRAN
Date/Publication: 2026-07-06 11:50:07 UTC

More information about fscontext at CRAN
Permanent link

Package cvcqv updated to version 1.0.4 with previous version 1.0.3 dated 2026-05-21

Title: Coefficient of Variation (CV) with Confidence Intervals (CI)
Description: Provides some easy-to-use functions and classes to calculate variability measures such as coefficient of variation with confidence intervals provided with all available methods. References are 'Panichkitkosolkul' (2013) <doi:10.1155/2013/324940>, 'Altunkaynak' & 'Gamgam' (2018) <doi:10.1080/03610918.2018.1435800>, 'Albatineh', 'Kibria', Wilcox & 'Zogheib' (2014) <doi:10.1080/02664763.2013.847405>.
Author: Maani Beigy [aut, cre]
Maintainer: Maani Beigy <manibeygi@gmail.com>

Diff between cvcqv versions 1.0.3 dated 2026-05-21 and 1.0.4 dated 2026-07-06

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Package GalaxyR updated to version 0.1.2 with previous version 0.1.1 dated 2026-02-17

Title: 'Galaxy' API Implementation
Description: On 'Galaxy' platforms like 'Galaxy Europe' <https://usegalaxy.eu>, many tools and workflows can run directly on a high-performance computer. 'GalaxyR' connects R with 'Galaxy' platforms API <https://usegalaxy.eu/api/docs> and allows credential management, uploading data, invoking workflows or tools, checking their status, and downloading results.
Author: Julian Frey [aut, cre] , Zoe Schindler [ctb]
Maintainer: Julian Frey <julian.frey@wwd.uni-freiburg.de>

Diff between GalaxyR versions 0.1.1 dated 2026-02-17 and 0.1.2 dated 2026-07-06

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Package SpatialML readmission to version 1.8.2 with previous version 0.1.7 dated 2024-04-01

Title: Spatial Machine Learning
Description: Implements a spatial extension of the random forest algorithm (Georganos et al. (2019) <doi:10.1080/10106049.2019.1595177>). Provides a Geographically Weighted Random Forest regression and a routine to find the optimal bandwidth (Georganos and Kalogirou (2022) <doi:10.3390/ijgi11090471>). A lightweight cross-validation helper for tuning the 'mtry' parameter of a random forest and a generator of synthetic spatial test data are also included. The package depends on 'ranger' as its single random-forest back-end.
Author: Stamatis Kalogirou [aut, cre, cph] , Stefanos Georganos [aut]
Maintainer: Stamatis Kalogirou <stamatis.science@gmail.com>

This is a re-admission after prior archival of version 0.1.7 dated 2024-04-01

Diff between SpatialML versions 0.1.7 dated 2024-04-01 and 1.8.2 dated 2026-07-06

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Package mregions2 updated to version 1.3.0 with previous version 1.1.2 dated 2025-03-21

Title: Access Data from Marineregions.org: Gazetteer & Data Products
Description: Explore and retrieve marine geospatial data from the Marine Regions Gazetteer <https://marineregions.org/gazetteer.php?p=webservices> and the Marine Regions Data Products <https://marineregions.org/webservices.php>.
Author: Michelle Guevara [aut, cre] , Salvador Jesus Fernandez Bejarano [aut] , Lotte Pohl [aut] , Julia Gustavsen [rev], Muralidhar M.A. [rev], Sheila M. Saia [rev], LifeWatch Belgium [fnd]
Maintainer: Michelle Guevara <michelle.guevara@vliz.be>

Diff between mregions2 versions 1.1.2 dated 2025-03-21 and 1.3.0 dated 2026-07-06

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Permanent link

Package lightr updated to version 2.1.0 with previous version 2.0.0 dated 2026-04-11

Title: Read Spectrometric Data and Metadata
Description: Parse various reflectance/transmittance/absorbance spectra file formats to extract spectral data and metadata, as described in Gruson, White & Maia (2019) <doi:10.21105/joss.01857>. Among other formats, it can import files from 'Avantes' <https://www.avantes.com/>, 'CRAIC' <https://www.microspectra.com/>, and 'OceanOptics'/'OceanInsight' <https://www.oceanoptics.com/> brands.
Author: Hugo Gruson [cre, aut, cph] , Rafael Maia [aut, cph] , Thomas White [aut, cph] , Kotya Karapetyan [ctb, cph] )
Maintainer: Hugo Gruson <hugo.gruson+R@normalesup.org>

Diff between lightr versions 2.0.0 dated 2026-04-11 and 2.1.0 dated 2026-07-06

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Package mrbsizeR updated to version 1.3.1 with previous version 1.3 dated 2024-02-13

Title: Scale Space Multiresolution Analysis of Random Signals
Description: A method for the multiresolution analysis of spatial fields and images to capture scale-dependent features. mrbsizeR is based on scale space smoothing and uses differences of smooths at neighbouring scales for finding features on different scales. To infer which of the captured features are credible, Bayesian analysis is used. The scale space multiresolution analysis has three steps: (1) Bayesian signal reconstruction. (2) Using differences of smooths, scale-dependent features of the reconstructed signal can be found. (3) Posterior credibility analysis of the differences of smooths created. The method has first been proposed by Holmstrom, Pasanen, Furrer, Sain (2011) <DOI:10.1016/j.csda.2011.04.011> and extended in Flury, Gerber, Schmid and Furrer (2021) <DOI:10.1016/j.spasta.2020.100483>.
Author: Thimo Schuster [aut], Roman Flury [cre, aut], Leena Pasanen [ctb], Reinhard Furrer [ctb]
Maintainer: Roman Flury <fluryro@gmail.com>

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Package KRLS updated to version 1.7-1 with previous version 1.7-0 dated 2026-06-05

Title: Kernel-Based Regularized Least Squares
Description: Implements Kernel-based Regularized Least Squares (KRLS), a machine learning method to fit multidimensional functions y = f(x) for regression and classification problems without relying on linearity or additivity assumptions. KRLS finds the best fitting function by minimizing the squared loss of a Tikhonov regularization problem, using Gaussian kernels as radial basis functions. For further details see Hainmueller and Hazlett (2014, <doi:10.1093/pan/mpt019>).
Author: Jens Hainmueller [aut, cre], Chad Hazlett [aut]
Maintainer: Jens Hainmueller <jhain@stanford.edu>

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Package eVCGsampler updated to version 1.1.0 with previous version 1.0.0 dated 2026-03-10

Title: VCG Sampling using Energy-Based Covariate Balancing
Description: Provides a principled framework for sampling Virtual Control Group (VCG) using energy distance-based covariate balancing. The package offers visualization tools to assess covariate balance and includes a permutation test to evaluate the statistical significance of observed deviations.
Author: Andreas Schulz [aut, cre] , Sanofi [cph, fnd]
Maintainer: Andreas Schulz <andreas.schulz2@sanofi.com>

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Package colleyRstats updated to version 0.1.2 with previous version 0.1.1 dated 2026-06-22

Title: Functions to Streamline Statistical Analysis and Reporting
Description: Built upon popular R packages such as 'ggstatsplot' and 'ARTool', this collection offers a wide array of tools for simplifying reproducible analyses, generating high-quality visualizations, and producing 'APA'-compliant outputs. The primary goal of this package is to significantly reduce repetitive coding efforts, allowing you to focus on interpreting results. Whether you're dealing with ANOVA assumptions, reporting effect sizes, or creating publication-ready visualizations, this package makes these tasks easier.
Author: Mark Colley [aut, cre, cph]
Maintainer: Mark Colley <mark.colley@yahoo.de>

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Package BigDataStatMeth updated to version 2.0.3 with previous version 2.0.2 dated 2026-06-08

Title: Scalable Statistical Computing with HDF5-Backed Matrices
Description: A framework for 'scalable' statistical computing on large on-disk matrices stored in 'HDF5' files. It provides efficient block-wise implementations of core linear-algebra operations (matrix multiplication, SVD, PCA, and QR decomposition) written in C++ and R, along with building blocks from which higher-level multivariate methods such as canonical correlation analysis can be constructed. These building blocks are designed not only for direct use, but also as foundational components for developing new statistical methods that must operate on datasets too large to fit in memory. The package supports data provided either as 'HDF5' files or standard R objects, and is intended for high-dimensional applications such as 'omics' and precision-medicine research.
Author: Dolors Pelegri-Siso [aut, cre] , Juan R. Gonzalez [aut]
Maintainer: Dolors Pelegri-Siso <dolors.pelegri@isglobal.org>

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Package tensorTS updated to version 1.0.3 with previous version 1.0.2 dated 2024-04-27

Title: Factor and Autoregressive Models for Tensor Time Series
Description: Factor and autoregressive models for matrix and tensor valued time series. We provide functions for estimation, simulation and prediction. The models are discussed in Li et al (2021) <doi:10.48550/arXiv.2110.00928>, Chen et al (2020) <DOI:10.1080/01621459.2021.1912757>, Chen et al (2020) <DOI:10.1016/j.jeconom.2020.07.015>, and Xiao et al (2020) <doi:10.48550/arXiv.2006.02611>.
Author: Zebang Li [aut, cre], Ruofan Yu [aut], Rong Chen [aut], Yuefeng Han [aut], Han Xiao [aut], Dan Yang [aut]
Maintainer: Zebang Li <zebangmail@gmail.com>

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Package SSRTcalc updated to version 2.1.1 with previous version 0.3.3 dated 2021-04-19

Title: Monte Carlo and Bayesian Stop-Signal Reaction Time Estimation
Description: Estimates stop-signal reaction time (SSRT) in the stop-signal task using the integration and mean methods described by Verbruggen and colleagues (2019) <doi:10.7554/eLife.46323>. In addition to point estimates, the package provides Monte Carlo tools (nonparametric bootstrap confidence intervals, parametric ex-Gaussian simulation, minimum-trial-count and power analysis, and sensitivity analysis under violations of the horse-race assumptions) and Bayesian estimation via 'Stan', including single-subject and hierarchical ex-Gaussian horse-race models with an optional trigger-failure parameter following Matzke and colleagues (2013) <doi:10.1037/a0030543>, posterior inhibition functions, and posterior predictive checks. The Bayesian layer works with either the 'cmdstanr' or 'rstan' backend.
Author: Anton Leontyev [aut, cre]
Maintainer: Anton Leontyev <antonleontyev@missouristate.edu>

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Package imf.data updated to version 0.2.0 with previous version 0.1.7 dated 2024-09-14

Title: An Interface to IMF (International Monetary Fund) Data
Description: Provides low-level access to the International Monetary Fund Statistical Data and Metadata eXchange ('SDMX') 3.0 API, available at <https://data.imf.org/>, and a concise workflow for discovering datasets, inspecting dimensions, and downloading observations as tidy data frames.
Author: Pedro Baltazar [aut, cre, cph]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>

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Package glyparse updated to version 0.7.0 with previous version 0.6.1 dated 2026-06-20

Title: Parsing Glycan Structure Text Representations
Description: Provides functions to parse glycan structure text representations into 'glyrepr' glycan structures. Currently, it supports StrucGP-style, pGlyco-style, IUPAC-condensed, IUPAC-extended, IUPAC-short, IUPAC-compact, WURCS, LINUCS, Linear Code, GlycoCT, and KCF format. It also provides an automatic parser to detect the format and parse the structure string.
Author: Bin Fu [aut, cre, cph]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>

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More information about glyparse at CRAN
Permanent link

Package caroline updated to version 1.1.1 with previous version 1.0.0 dated 2026-06-16

Title: A Collection of Database, Data Structure, Visualization, and Utility Functions for R
Description: The caroline R library contains dozens of functions useful for: database migration (dbWriteTable2), database style joins & aggregation (nerge, groupBy, & bestBy), data structure conversion (nv, tab2df), legend table making (sstable & leghead), automatic legend positioning for scatter and box plots (legend.position), plot annotation (labsegs & mvlabs), data visualization (pies & raPlot), character string manipulation (m & pad), file I/O (write.delim), batch scripting, data exploration, and more. The package's greatest contributions stem from its database style merge, aggregation and interface functions as well as in it's extensive use and propagation of row, column and vector names in most functions. The latest additions are plotting functions (confound.grid & sparge) that intake a dataframe & formulas to visually resolve variable confounding.
Author: David Schruth [aut, cre]
Maintainer: David Schruth <code@anthropoidea.org>

Diff between caroline versions 1.0.0 dated 2026-06-16 and 1.1.1 dated 2026-07-06

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More information about caroline at CRAN
Permanent link

Sun, 05 Jul 2026

Package shinyCohortBuilder updated to version 1.0.0 with previous version 0.4.0 dated 2026-02-25

Title: Modular Cohort-Building Framework for Analytical Dashboards
Description: You can easily add advanced cohort-building component to your analytical dashboard or simple 'Shiny' app. Then you can instantly start building cohorts using multiple filters of different types, filtering datasets, and filtering steps. Filters can be complex and data-specific, and together with multiple filtering steps you can use complex filtering rules. The cohort-building sidebar panel allows you to easily work with filters, add and remove filtering steps. It helps you with handling missing values during filtering, and provides instant filtering feedback with filter feedback plots. The GUI panel is not only compatible with native shiny bookmarking, but also provides reproducible R code.
Author: Krystian Igras [cre, aut], Kamil Wais [aut], Adam Forys [ctb]
Maintainer: Krystian Igras <krystian8207@gmail.com>

Diff between shinyCohortBuilder versions 0.4.0 dated 2026-02-25 and 1.0.0 dated 2026-07-05

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More information about shinyCohortBuilder at CRAN
Permanent link

Package ggpmisc updated to version 1.0.0 with previous version 0.7.0 dated 2026-03-23

Title: Miscellaneous Extensions to 'ggplot2'
Description: Extensions to 'ggplot2' respecting the grammar of graphics paradigm. Statistics to locate and tag peaks and valleys and to label plots with the equation of a fitted polynomial model by ordinary least squares, major axis, quantile and robust and resistant regression approaches. Line and model equation for Normal mixture models. Labels for P-value, R^2 or adjusted R^2 or information criteria for fitted models; parametric and non-parametric correlation; ANOVA table or summary table for fitted models as plot insets; annotations for multiple pairwise comparisons with adjusted P-values. Model fit classes for which suitable methods are provided by package 'broom' and 'broom.mixed' are supported as well as user-defined wrappers on model fit functions, allowing model selection and conditional labelling. Scales and stats to build volcano and quadrant plots based on outcomes, fold changes, p-values and false discovery rates.
Author: Pedro J. Aphalo [aut, cre] , Kamil Slowikowski [ctb] , Samer Mouksassi [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

Diff between ggpmisc versions 0.7.0 dated 2026-03-23 and 1.0.0 dated 2026-07-05

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New package osmnxr with initial version 0.1.1
Package: osmnxr
Title: Download, Model and Analyze 'OpenStreetMap' Street Networks
Version: 0.1.1
Description: A 'tidyverse'-friendly toolkit, inspired by the 'OSMnx' 'Python' library, to download, model, simplify, analyze and visualize street networks and other geospatial features from 'OpenStreetMap'. Build routable graphs from a place name, address, point or bounding box; simplify topology; compute shortest paths, isochrones and urban metrics (intersection density, circuity, street-orientation entropy, centrality); and export to 'sf', 'sfnetworks' and 'MapLibre'. Heavy graph computation is performed by a bundled 'Rust' core.
Language: en-US
License: MIT + file LICENSE
URL: https://github.com/StrategicProjects/osmnxr, https://strategicprojects.github.io/osmnxr/
BugReports: https://github.com/StrategicProjects/osmnxr/issues
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc
Depends: R (>= 4.2)
Imports: cli, glue, httr2 (>= 1.0.0), purrr, rlang (>= 1.1.0), sf, tibble
Suggests: dodgr, ggplot2, jsonlite, knitr, rmarkdown, sfnetworks, testthat (>= 3.0.0), tidygraph, units, xml2
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-06-28 17:57:25 UTC; leite
Author: Andre Leite [aut, cre], Marcos Wasilew [aut], Hugo Vasconcelos [aut], Carlos Amorin [aut], Diogo Bezerra [aut], StrategicProjects [cph, fnd], The extendr authors [cph] , David Tolnay [cph] , Alex Crichton [cph] , Marvin Loebel [cph] , Aleksey Kladov [...truncated...]
Maintainer: Andre Leite <leite@castlab.org>
Repository: CRAN
Date/Publication: 2026-07-05 20:30:02 UTC

More information about osmnxr at CRAN
Permanent link

Package h3sdm updated to version 0.1.7 with previous version 0.1.6 dated 2026-06-15

Title: Species Distribution Modeling with H3 Grids
Description: Provides tools for species distribution modeling using H3 hexagonal grids (Uber Technologies Inc., 2022, <https://h3geo.org>). Facilitates retrieval of species occurrence records, generation of H3 grids, computation of landscape metrics, and preparation of spatial data for modern species distribution models workflows. Designed for biodiversity and landscape ecology research.
Author: Manuel Spinola [aut, cre]
Maintainer: Manuel Spinola <mspinola10@gmail.com>

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More information about h3sdm at CRAN
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Package cxreg readmission to version 1.1.2 with previous version 1.0.0 dated 2025-09-17

Title: Complex-Valued Lasso and Complex-Valued Graphical Lasso
Description: Implements 'glmnet'-style complex-valued lasso (CLASSO) and complex-valued graphical lasso (CGLASSO) via a pathwise coordinate descent algorithm for complex-valued parameters, using an isomorphism between complex numbers and 2x2 orthogonal matrices. Also provides a full inference pipeline for high-dimensional sparse spectral precision matrices, including data-driven bandwidth selection, one-step debiasing, asymptotic variance estimation, entry-wise confidence regions, and FDR-controlled hypothesis testing. Supporting tools for cross-validation, simulation, coefficient extraction, and plotting are included. See Deb, Kuceyeski, and Basu (2024) <doi:10.48550/arXiv.2401.11128> and Deb, Kim, and Basu (2026) <doi:10.48550/arXiv.2606.07986>.
Author: Younghoon Kim [aut, cre], Navonil Deb [aut], Sumanta Basu [aut]
Maintainer: Younghoon Kim <ykim124@ua.edu>

This is a re-admission after prior archival of version 1.0.0 dated 2025-09-17

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Package midi updated to version 0.2.0 with previous version 0.1.0 dated 2024-04-03

Title: Microstructure Information from Diffusion Imaging
Description: An implementation of a taxonomy of models of restricted diffusion in biological tissues parametrized by the tissue geometry (axis, diameter, density, etc.). This is primarily used in the context of diffusion magnetic resonance (MR) imaging to model the MR signal attenuation in the presence of diffusion gradients. The goal is to provide tools to simulate the MR signal attenuation predicted by these models under different experimental conditions. The package feeds a companion 'shiny' app available at <https://midi-pastrami.apps.math.cnrs.fr> that serves as a graphical interface to the models and tools provided by the package. Models currently available are the ones in Neuman (1974) <doi:10.1063/1.1680931>, Van Gelderen et al. (1994) <doi:10.1006/jmrb.1994.1038>, Stanisz et al. (1997) <doi:10.1002/mrm.1910370115>, Soderman & Jonsson (1995) <doi:10.1006/jmra.1995.0014> and Callaghan (1995) <doi:10.1006/jmra.1995.1055>.
Author: Aymeric Stamm [aut, cre]
Maintainer: Aymeric Stamm <aymeric.stamm@cnrs.fr>

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Package defineR updated to version 0.0.6 with previous version 0.0.5 dated 2025-12-15

Title: Creates Define XML Documents
Description: Creates 'define.xml' documents used for regulatory submissions based on spreadsheet metadata. Can also help create metadata and generate HTML data explorer.
Author: David Bosak [aut, cre], Aheer Alvi [aut], Jonathan Stallings [ctb]
Maintainer: David Bosak <dbosak01@gmail.com>

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Package dcvar updated to version 0.9.3 with previous version 0.2.0 dated 2026-04-27

Title: Dynamic Copula VAR Models for Time-Varying Dependence
Description: Fits Bayesian copula vector autoregressive models for bivariate time series with dynamic, regime-switching, and constant dependence structures. The package includes simulation, data preparation, estimation with 'Stan' through 'rstan' or 'cmdstanr', posterior summaries, diagnostics, trajectory extraction, fitted and predictive summaries, and approximate leave-one-out cross-validation model comparison for supported fits. For Bayesian computation and model comparison, see Carpenter et al. (2017) <doi:10.18637/jss.v076.i01> and Vehtari, Gelman and Gabry (2017) <doi:10.1007/s11222-016-9696-4>.
Author: Benedikt Lugauer [aut, cre]
Maintainer: Benedikt Lugauer <benedikt.lugauer@uni-leipzig.de>

Diff between dcvar versions 0.2.0 dated 2026-04-27 and 0.9.3 dated 2026-07-05

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Package climatehealth updated to version 1.0.3 with previous version 1.0.2 dated 2026-06-09

Title: Statistical Tools for Modelling Climate-Health Impacts
Description: Tools for producing climate-health indicators and supporting official statistics from health and climate data. Implements analytical workflows for temperature-related mortality, wildfire smoke exposure, air pollution, suicides related to extreme heat, malaria, and diarrhoeal disease outcomes, with utilities for descriptive statistics, model validation, attributable fraction and attributable number estimation, relative risk estimation, minimum mortality temperature estimation, and plotting for reporting. These six indicators are endorsed by the United Nations Statistical Commission for inclusion in the Global Set of Environment and Climate Change Statistics. Implemented methods include distributed lag non-linear models (DLNM), quasi-Poisson time-series regression, case-crossover analysis, Bayesian spatio-temporal models using the Integrated Nested Laplace Approximation ('INLA'), and multivariate meta-analysis for sub-national estimates. The package is based on methods developed in the S [...truncated...]
Author: Charlie Browning [aut], Kenechi Omeke [aut, cre], Etse Yawo Dzakpa [aut], Gladin Jose [aut], Matt Pearce [aut], Ellie Watkins [aut], Claire Hunt [aut], Beatrice Byukusenge [aut], Cassien Habyarimana [aut], Venuste Nyagahakwa [aut], Felix Scarbrough [ [...truncated...]
Maintainer: Kenechi Omeke <climate.health@ons.gov.uk>

Diff between climatehealth versions 1.0.2 dated 2026-06-09 and 1.0.3 dated 2026-07-05

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More information about climatehealth at CRAN
Permanent link

Package SNPannotator updated to version 1.4.8 with previous version 1.4.7 dated 2026-06-08

Title: Automated Functional Annotation of Genetic Variants and Linked Proxies
Description: To automated functional annotation of genetic variants and linked proxies. Linked SNPs in moderate to high linkage disequilibrium (e.g. r2>0.50) with the corresponding index SNPs will be selected for further analysis.
Author: Alireza Ani [aut, cre], Zoha Kamali [aut], Ahmad Vaez [aut]
Maintainer: Alireza Ani <a.ani@umcg.nl>

Diff between SNPannotator versions 1.4.7 dated 2026-06-08 and 1.4.8 dated 2026-07-05

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Package tourr updated to version 1.2.8 with previous version 1.2.7 dated 2026-05-15

Title: Tour Methods for Multivariate Data Visualisation
Description: Implements geodesic interpolation and basis generation functions that allow you to create new tour methods from R.
Author: Hadley Wickham [aut, ctb] , Dianne Cook [aut, cre] , Nick Spyrison [ctb] , Ursula Laa [ctb] , H. Sherry Zhang [ctb] , Stuart Lee [ctb]
Maintainer: Dianne Cook <dicook@monash.edu>

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Package strex updated to version 2.1.0 with previous version 2.0.1 dated 2024-10-03

Title: Extra String Manipulation Functions
Description: There are some things that I wish were easier with the 'stringr' or 'stringi' packages. The foremost of these is the extraction of numbers from strings. 'stringr' and 'stringi' make you figure out the regular expression for yourself; 'strex' takes care of this for you. There are many other handy functionalities in 'strex'. Contributions to this package are encouraged; it is intended as a miscellany of string manipulation functions that cannot be found in 'stringi' or 'stringr'.
Author: Rory Nolan [aut, cre]
Maintainer: Rory Nolan <rorynoolan@gmail.com>

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Package treedater updated to version 2.0.0 with previous version 1.0.2 dated 2025-09-03

Title: Fast Molecular Clock Dating of Phylogenetic Trees with Rate Variation
Description: Functions for estimating times of common ancestry and molecular clock rates of evolution using a variety of evolutionary models, parametric and nonparametric bootstrap confidence intervals, methods for detecting outlier lineages, root-to-tip regression, and a statistical test for selecting molecular clock models. For more details see Volz and Frost (2017) <doi:10.1093/ve/vex025>.
Author: Erik Volz [aut, cre]
Maintainer: Erik Volz <erik.volz@gmail.com>

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Package GLmom updated to version 2.0.0 with previous version 1.3.1 dated 2026-02-27

Title: Generalized L-Moments Estimation for Extreme Value Distributions
Description: Provides generalized L-moments estimation methods for the generalized extreme value ('GEV') distribution. Implements both stationary 'GEV' and non-stationary 'GEV11' models where location and scale parameters vary with time. Includes various penalty functions (Martins-Stedinger, Park, Cannon, Coles-Dixon) for shape parameter regularization. Also provides model averaging estimation ('ma.gev') that combines MLE and L-moment methods with multiple weighting schemes for robust high quantile estimation. The 'GLME' methodology is described in Shin et al. (2025a) <doi:10.48550/arXiv.2512.20385>. The non-stationary L-moment method is based on Shin et al. (2025b) <doi:10.1007/s42952-025-00325-3>. The model averaging method is described in Shin et al. (2026) <doi:10.1007/s00477-025-03167-x>. See also Hosking (1990) <doi:10.1111/j.2517-6161.1990.tb01775.x> for L-moments theory and Martins and Stedinger (2000) <doi:10.1029/1999WR900330> for penalized likelihood methods [...truncated...]
Author: Yonggwan Shin [aut, cre] , Seokkap Ko [aut, ctb] , Jihong Park [ctb] , Yire Shin [aut, dtc] , Jeong-Soo Park [aut, ths]
Maintainer: Yonggwan Shin <syg.stat@etri.re.kr>

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Package geneNR updated to version 3.0.0 with previous version 2.0.1 dated 2025-03-29

Title: Automated Gene Identification for Post-GWAS and QTL Analysis
Description: Facilitates the post-Genome Wide Association Studies (GWAS) and Quantitative Trait Loci (QTL) analysis of identifying candidate genes within user-defined search window, based on the identified Single Nucleotide Polymorphisms (SNPs) as given by Mazumder AK (2024) <doi:10.1038/s41598-024-66903-3>. It supports candidate gene analysis for wheat and rice. Just import your GWAS result as explained in the sample_data file and the function does all the manual search and retrieve candidate genes for you, while exporting the results into ready-to-use output.
Author: Rajamani Nirmalaruban [aut, cre, cph], R. Suvitha [aut], Rajbir Yadav [aut], Meda Alekya [aut], Amit Kumar Mazumder [aut], Thirumurugan Sathya [aut], Subramani Sugumar [aut], Prashanth babu [aut], Manjeet Kumar [aut], Kiran B Gaikwad [aut], Naresh Ku [...truncated...]
Maintainer: Rajamani Nirmalaruban <nirmalaruban97@gmail.com>

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Package easyRasch2 updated to version 1.0.0 with previous version 0.8.0 dated 2026-06-08

Title: Psychometric Analysis with Rasch Measurement Theory
Description: Streamlines reproducible Rasch measurement theory analyses for ordinal item-response data, combining estimation routines from 'eRm', 'psychotools', 'mirt', 'iarm', and 'lavaan' with consistent diagnostic, plotting, and reporting layers. Covers the four basic psychometric criteria summarised by Christensen et al. (2021) <doi:10.1111/sms.13908> -- unidimensionality, local independence, ordered response category thresholds, and invariance across subgroups -- together with item fit, targeting, reliability, category functioning, and descriptive item-response plots. A distinguishing feature is the use of simulation-based critical values to replace rule-of-thumb cutoffs for conditional infit mean-square, Yen's Q3 local-dependence statistic, the largest residual-PCA eigenvalue, ordinal CFA fit indices, and partial-gamma DIF and local-dependence coefficients, optionally augmented with multiplicity-corrected bootstrap p-values. Outputs are knitr::kable() tables and 'ggplot2' figures suitab [...truncated...]
Author: Magnus Johansson [aut, cre] , Nicklas Korsell [ctb] , Mirka Henninger [ctb] , Jan Radek [ctb]
Maintainer: Magnus Johansson <pgmj@pm.me>

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Package clifford updated to version 1.2-0-1 with previous version 1.2-0 dated 2026-06-30

Title: Arbitrary Dimensional Clifford Algebras
Description: A suite of routines for Clifford algebras, using the 'Map' class of the Standard Template Library. Canonical reference: Hestenes (1987, ISBN 90-277-1673-0, "Clifford algebra to geometric calculus"). Special cases including Lorentz transforms, quaternion multiplication, and Grassmann algebra, are discussed. Vignettes presenting conformal geometric algebra, quaternions and split quaternions, dual numbers, and Lorentz transforms are included. The package follows 'disordR' discipline.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between clifford versions 1.2-0 dated 2026-06-30 and 1.2-0-1 dated 2026-07-05

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Package glyrepr updated to version 0.13.0 with previous version 0.12.1 dated 2026-06-19

Title: Representation for Glycan Compositions and Structures
Description: Computational representations of glycan compositions and structures, including details such as linkages, anomers, and substituents. Supports varying levels of monosaccharide specificity (e.g., "Hex" or "Gal") and ambiguous linkages. Provides robust parsing and generation of IUPAC-condensed structure strings. Optimized for vectorized operations on glycan structures, with efficient handling of duplications. As the cornerstone of the glycoverse ecosystem, this package delivers the foundational data structures that power glycomics and glycoproteomics analysis workflows.
Author: Bin Fu [aut, cre, cph]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>

Diff between glyrepr versions 0.12.1 dated 2026-06-19 and 0.13.0 dated 2026-07-05

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Package geomorph updated to version 4.1.1 with previous version 4.1.0 dated 2026-03-14

Title: Geometric Morphometric Analyses of 2D and 3D Landmark Data
Description: Read and manipulate landmark data, generate shape variables via Procrustes analysis for points, curves and surfaces, perform shape analyses, and provide graphical depictions of shapes and patterns of shape variation.
Author: Dean Adams [aut, cre], Michael Collyer [aut], Antigoni Kaliontzopoulou [aut], Erica Baken [aut]
Maintainer: Dean Adams <dcadams@iastate.edu>

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Package arrayhelpers updated to version 1.1-1 with previous version 1.1-0 dated 2020-02-04

Title: Convenience Functions for Arrays
Description: Some convenient functions to work with arrays.
Author: Claudia Beleites [aut, cre]
Maintainer: Claudia Beleites <Claudia.Beleites@chemometrix.eu>

Diff between arrayhelpers versions 1.1-0 dated 2020-02-04 and 1.1-1 dated 2026-07-05

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Package vaccine updated to version 1.4.0 with previous version 1.3.1 dated 2025-09-07

Title: Statistical Tools for Immune Correlates Analysis of Vaccine Clinical Trial Data
Description: Various semiparametric and nonparametric statistical tools for immune correlates analysis of vaccine clinical trial data. This includes calculation of summary statistics and estimation of risk, vaccine efficacy, controlled effects (controlled risk and controlled vaccine efficacy), and mediation effects (natural direct effect, natural indirect effect, proportion mediated). See Gilbert P, Fong Y, Kenny A, and Carone, M (2022) <doi:10.1093/biostatistics/kxac024> and Fay MP and Follmann DA (2023) <doi:10.48550/arXiv.2208.06465>.
Author: Avi Kenny [aut, cre]
Maintainer: Avi Kenny <avi.kenny@gmail.com>

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Package evmr updated to version 0.2.0 with previous version 0.1.0 dated 2026-03-29

Title: Extreme Value Modeling for r-Largest Order Statistics
Description: Tools for extreme value modeling based on the r-largest order statistics framework. The package provides functions for parameter estimation via maximum likelihood, return level estimation with standard errors, profile likelihood-based confidence intervals, random sample generation, and entropy difference tests for selecting the number of order statistics r. Several r-largest order statistics models are implemented, including the four-parameter kappa (rK4D), generalized logistic (rGLO), generalized Gumbel (rGGD), logistic (rLD), and Gumbel (rGD) distributions. The rK4D methodology is described in Shin et al. (2022) <doi:10.1016/j.wace.2022.100533>, the rGLO model in Shin and Park (2024) <doi:10.1007/s00477-023-02642-7>, and the rGGD model in Shin and Park (2025) <doi:10.1038/s41598-024-83273-y>. The underlying distributions are related to the kappa distribution of Hosking (1994) <doi:10.1017/CBO9780511529443>, the generalized logistic distribution discussed by Ah [...truncated...]
Author: Yire Shin [aut, cre] , Jeong-Soo Park [aut, ths]
Maintainer: Yire Shin <shinyire87@gmail.com>

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Package timeDF updated to version 0.9.2 with previous version 0.9.1 dated 2024-04-28

Title: Subset and Flag Data Frames with Times by the Use of Periods
Description: Data frames with time information are subset and flagged with period information. Data frames with times are dealt as timeDF objects and periods are represented as periodDF objects.
Author: Toshihiro Umehara [aut, cre]
Maintainer: Toshihiro Umehara <toshi@niceume.com>

Diff between timeDF versions 0.9.1 dated 2024-04-28 and 0.9.2 dated 2026-07-05

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More information about timeDF at CRAN
Permanent link

Package albersdown updated to version 2.0.0 with previous version 1.0.0 dated 2026-04-01

Title: Minimalist Theme and Vignette Kit for 'pkgdown' and R Markdown
Description: Provides a minimalist 'ggplot2' theme, colour scales, and 'pkgdown' template built around a curated colour palette system inspired by Josef Albers' colour theory (Albers (1963, ISBN:978-0-300-17935-4) "Interaction of Color"). Includes helpers to apply consistent theming to 'ggplot2' plots, 'gt' tables, and 'bslib' Bootstrap 5 sites, along with one-command setup functions for adopting the style across an R package.
Author: Bradley R. Buchsbaum [aut, cre]
Maintainer: Bradley R. Buchsbaum <brad.buchsbaum@gmail.com>

Diff between albersdown versions 1.0.0 dated 2026-04-01 and 2.0.0 dated 2026-07-05

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Permanent link

Package treestructure updated to version 1.0.1 with previous version 0.7.0 dated 2025-09-27

Title: Detect Population Structure Within Phylogenetic Trees
Description: Algorithms for detecting population structure from the history of coalescent events recorded in phylogenetic trees. This method classifies each tip and internal node of a tree into disjoint sets characterized by similar coalescent patterns.
Author: Erik Volz [aut, cre] , Fabricia F. Nascimento [ctb] , Vinicius B. Franceschi [ctb]
Maintainer: Erik Volz <erik.volz@gmail.com>

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Permanent link

New package RobustLPA with initial version 0.1.0
Package: RobustLPA
Title: Robust Latent Profile Analysis
Version: 0.1.0
Description: Provides a comprehensive toolset for estimating Latent Profile Analysis (LPA) models that are robust to multivariate outliers and missing data. By integrating a high-performance 'C++' engine via 'RcppArmadillo' with a Full Information Maximum Likelihood (FIML) approach and Huber weighting, it reliably extracts latent profiles even in complex datasets. It supports multiple geometric variance-covariance models, along with functions for bootstrapped likelihood ratio tests and plotting. For methodological details on the Bootstrapped Likelihood Ratio Test, see Nylund et al. (2007) <doi:10.1080/10705510701575396>. For robust clustering methods, see Garcia-Escudero et al. (2010) <doi:10.1007/s11634-010-0064-5>.
License: GPL (>= 3)
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, ggplot2, stats
NeedsCompilation: yes
Packaged: 2026-06-30 08:24:49 UTC; hp
Author: Valerio Riccardo Aquila [aut, cre]
Maintainer: Valerio Riccardo Aquila <valerio_aquila@hotmail.it>
Repository: CRAN
Date/Publication: 2026-07-05 11:00:02 UTC

More information about RobustLPA at CRAN
Permanent link

Package rlang updated to version 1.3.0 with previous version 1.2.0 dated 2026-04-06

Title: Functions for Base Types and Core R and 'Tidyverse' Features
Description: A toolbox for working with base types, core R features like the condition system, and core 'Tidyverse' features like tidy evaluation.
Author: Lionel Henry [aut, cre], Hadley Wickham [aut], mikefc [cph] , Yann Collet [cph] , Posit, PBC [cph, fnd]
Maintainer: Lionel Henry <lionel@posit.co>

Diff between rlang versions 1.2.0 dated 2026-04-06 and 1.3.0 dated 2026-07-05

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More information about rlang at CRAN
Permanent link

Package Rcpp updated to version 1.1.2 with previous version 1.1.1-1.1 dated 2026-04-24

Title: Seamless R and C++ Integration
Description: The 'Rcpp' package provides R functions as well as C++ classes which offer a seamless integration of R and C++. Many R data types and objects can be mapped back and forth to C++ equivalents which facilitates both writing of new code as well as easier integration of third-party libraries. Documentation about 'Rcpp' is provided by several vignettes included in this package, via the 'Rcpp Gallery' site at <https://gallery.rcpp.org>, the paper by Eddelbuettel and Francois (2011, <doi:10.18637/jss.v040.i08>), the book by Eddelbuettel (2013, <doi:10.1007/978-1-4614-6868-4>) and the paper by Eddelbuettel and Balamuta (2018, <doi:10.1080/00031305.2017.1375990>); see 'citation("Rcpp")' for details.
Author: Dirk Eddelbuettel [aut, cre] , Romain Francois [aut] , JJ Allaire [aut] , Kevin Ushey [aut] , Qiang Kou [aut] , Nathan Russell [aut], Inaki Ucar [aut] , Doug Bates [aut] , John Chambers [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between Rcpp versions 1.1.1-1.1 dated 2026-04-24 and 1.1.2 dated 2026-07-05

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More information about Rcpp at CRAN
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Package QuantBondCurves readmission to version 0.3.3 with previous version 0.3.2 dated 2025-07-06

Title: Calculates Bond Values and Interest Rate Curves for Finance
Description: Values different types of assets and calibrates discount curves for quantitative financial analysis. It covers fixed coupon assets, floating note assets, interest and cross currency swaps with different payment frequencies. Enables the calibration of spot, instantaneous forward and basis curves, making it a powerful tool for accurate and flexible bond valuation and curve generation. The valuation and calibration techniques presented here are consistent with industry standards and incorporates author's own calculations. Tuckman, B., Serrat, A. (2022, ISBN: 978-1-119-83555-4).
Author: Camilo Diaz [aut, cre, com], Andres Galeano [aut], Julian Rojas [aut], Quantil S.A.S [aut, cph]
Maintainer: Camilo Diaz <kamodiaz@gmail.com>

This is a re-admission after prior archival of version 0.3.2 dated 2025-07-06

Diff between QuantBondCurves versions 0.3.2 dated 2025-07-06 and 0.3.3 dated 2026-07-05

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More information about QuantBondCurves at CRAN
Permanent link

Package OutliersO3 updated to version 0.7 with previous version 0.6.3 dated 2020-04-24

Title: Draws Overview of Outliers (O3) Plots
Description: Potential outliers are identified for all combinations of a dataset's variables. O3 plots are described in Unwin(2019) <doi:10.1080/10618600.2019.1575226>. The available methods are FastPCS() from the package 'FastPCS', mvBACON() from 'robustX', adjOutlyingness() from 'robustbase', DectectDeviatingCells() from 'cellWise', covMcd() from 'robustbase'.
Author: Antony Unwin [aut, cre, cph]
Maintainer: Antony Unwin <unwin@math.uni-augsburg.de>

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Package LPWC readmission to version 1.0.1 with previous version 1.0.0 dated 2020-01-23

Title: Lag Penalized Weighted Correlation for Time Series Clustering
Description: Computes a time series distance measure for clustering based on weighted correlation and introduction of lags. The lags capture delayed responses in a time series dataset. The timepoints must be specified. T. Chandereng, A. Gitter (2020) <doi:10.1186/s12859-019-3324-1>.
Author: Thevaa Chandereng [aut, cre, cph] , Anthony Gitter [aut, cph]
Maintainer: Thevaa Chandereng <thevaasiinen@gmail.com>

This is a re-admission after prior archival of version 1.0.0 dated 2020-01-23

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Package lorbridge updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-21

Title: Bridging Log-Odds Ratios and Correspondence Analysis via Closeness-of-Concordance Measures
Description: Provides a unified analytical workflow that bridges conventional binary and multinomial logistic regression with singly-ordered (SONSCA) and doubly-ordered (DONSCA) nonsymmetric correspondence analysis. Log-odds ratios (LORs) from logistic regression are re-expressed as cosine theta estimates and closeness-of-concordance measures (CCMs) -- including Yule's Q, Yule's Y, and r_meta -- on the familiar [-1, +1] scale introduced by Kim and Grochowalski (2019) <doi:10.1007/s00357-018-9277-7>. Bootstrap confidence intervals for cosine theta are provided throughout. The package is intended to help clinical and medical researchers interpret association strength from logistic regression in an intuitive, correlation-like metric, and to connect conventional regression results with geometric correspondence analysis visualisations.
Author: Se-Kang Kim [aut, cre]
Maintainer: Se-Kang Kim <se-kang.kim@bcm.edu>

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Package gggenes updated to version 0.7.0 with previous version 0.6.0 dated 2025-12-14

Title: Draw Gene Arrow Maps in 'ggplot2'
Description: A 'ggplot2' extension for drawing gene arrow maps.
Author: David Wilkins [aut, cre], Zachary Kurtz [ctb]
Maintainer: David Wilkins <david@wilkox.org>

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Package crmPack updated to version 2.2.0 with previous version 2.1.0 dated 2026-01-30

Title: Object-Oriented Implementation of Dose Escalation Designs
Description: Implements a wide range of dose escalation designs. The focus is on model-based designs, ranging from classical and modern continual reassessment methods (CRMs) based on dose-limiting toxicity endpoints to dual-endpoint designs taking into account a biomarker/efficacy outcome. Bayesian inference is performed via MCMC sampling in JAGS, and it is easy to setup a new design with custom JAGS code. However, it is also possible to implement 3+3 designs for comparison or models with non-Bayesian estimation. The whole package is written in a modular form in the S4 class system, making it very flexible for adaptation to new models, escalation or stopping rules. Further details are presented in Sabanés Bové et al. (2019) <doi:10.18637/jss.v089.i10>.
Author: Daniel Sabanes Bove [aut, cre] , Wai Yin Yeung [aut], Burak Kuersad Guenhan [aut], Giuseppe Palermo [aut], Thomas Jaki [aut], Jiawen Zhu [aut], Ziwei Liao [aut], Dimitris Kontos [aut], Marlene Schulte-Goebel [aut], Doug Kelkhoff [aut] , Oliver Boix [ [...truncated...]
Maintainer: Daniel Sabanes Bove <daniel.sabanes_bove@rconis.com>

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Package CopernicusMarine updated to version 0.4.7 with previous version 0.4.6 dated 2026-04-07

Title: Search Download and Handle Data from Copernicus Marine Service Information
Description: Subset and download data from EU Copernicus Marine Service Information: <https://data.marine.copernicus.eu>. Import data on the oceans physical and biogeochemical state from Copernicus into R without the need of external software.
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

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Package allelematch updated to version 2.6.0 with previous version 2.5.5 dated 2025-07-26

Title: Identifying Unique Multilocus Genotypes where Genotyping Error and Missing Data may be Present
Description: Tools for the identification of unique multilocus genotypes when both genotyping error and missing data may be present. Includes a data pre-screening utility to analyze pairwise locus overlap and protect against underlying mathematical sorting constraints. Targeted for use with large datasets and databases containing multiple samples of each individual (a common situation in conservation genetics, particularly in non-invasive wildlife sampling applications). Functions explicitly incorporate missing data and can tolerate allele mismatches created by genotyping error. If you use this package, please cite the original publication in Molecular Ecology Resources (Galpern et al., 2012), the details for which can be generated using citation('allelematch'). The complete user manual and analytical tutorials are included locally as an R vignette and can be accessed within an active R session using vignette('allelematch').
Author: Paul Galpern [aut], Micheline Manseau [aut], Pete Hettinga [aut], Karen Smith [aut], Paul Wilson [aut], Todd Cross [cre]
Maintainer: Todd Cross <todd.cross@gmail.com>

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Package tsissm updated to version 1.0.3 with previous version 1.0.2 dated 2025-07-12

Title: Linear Innovations State Space Unobserved Components Model
Description: Unobserved components time series model using the linear innovations state space representation (single source of error) with choice of error distributions and option for dynamic variance. Methods for estimation using automatic differentiation, automatic model selection and ensembling, prediction, filtering, simulation and backtesting. Based on the model described in Hyndman et al (2012) <doi:10.1198/jasa.2011.tm09771>.
Author: Alexios Galanos [aut, cre]
Maintainer: Alexios Galanos <alexios@4dscape.com>

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Package treemapify updated to version 2.6.1 with previous version 2.6.0 dated 2025-12-14

Title: Draw Treemaps in 'ggplot2'
Description: Provides 'ggplot2' geoms for drawing treemaps.
Author: David Wilkins [aut, cre] , Bob Rudis [ctb]
Maintainer: David Wilkins <david@wilkox.org>

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Package Sequential updated to version 4.6.1 with previous version 4.6.0 dated 2026-04-21

Title: Exact Sequential Analysis for Poisson and Binomial Data
Description: Functions to calculate exact critical values, statistical power, expected time to signal, and required sample sizes for performing exact sequential analysis. All these calculations can be done for either Poisson or binomial data, for continuous or group sequential analyses, and for different types of rejection boundaries. In case of group sequential analyses, the group sizes do not have to be specified in advance and the alpha spending can be arbitrarily settled. For regression versions of the methods, Monte Carlo and asymptotic methods are used.
Author: Ivair Ramos Silva [aut, cre], Martin Kulldorff [aut]
Maintainer: Ivair Ramos Silva <ivair@ufop.edu.br>

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Package QRAGadget updated to version 0.4 with previous version 0.3.0 dated 2023-06-23

Title: A 'Shiny' Gadget for Interactive 'QRA' Visualizations
Description: Upload raster data and easily create interactive quantitative risk analysis 'QRA' visualizations. Select from numerous color palettes, base-maps, and different configurations.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>

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Package mclust updated to version 6.1.3 with previous version 6.1.2 dated 2025-10-31

Title: Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation
Description: Gaussian finite mixture models fitted via EM algorithm for model-based clustering, classification, and density estimation, including Bayesian regularization, dimension reduction for visualisation, and resampling-based inference.
Author: Chris Fraley [aut], Adrian E. Raftery [aut] , Luca Scrucca [aut, cre] , Thomas Brendan Murphy [ctb] , Michael Fop [ctb]
Maintainer: Luca Scrucca <luca.scrucca@unibo.it>

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Package ggfittext updated to version 0.10.4 with previous version 0.10.3 dated 2025-12-13

Title: Fit Text Inside a Box in 'ggplot2'
Description: A 'ggplot2' extension to fit text into a box by growing, shrinking or wrapping the text.
Author: David Wilkins [aut, cre], Brady Johnston [ctb]
Maintainer: David Wilkins <david@wilkox.org>

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Package fcmfd updated to version 0.1.2 with previous version 0.1.1 dated 2026-05-23

Title: Fuzzy C-Means for Fuzzy Data
Description: Implements a fuzzy clustering approach for ordinal Likert-type data using triangular fuzzy numbers (TFNs). The package extends the classical fuzzy C-means algorithm to better handle uncertainty in ordinal scales and includes automatic selection of the number of clusters using the Xie-Beni validity index. References: Coppi, R., D'Urso, P., and Giordani, P. (2012), "Fuzzy and possibilistic clustering for fuzzy data", <doi:10.1016/j.csda.2010.09.013>. Xie, X. L. and Beni, G. (1991), "A validity measure for fuzzy clustering", <doi:10.1109/34.85677>.
Author: Jose Ortigas [aut, cre]
Maintainer: Jose Ortigas <jose.ortigas@unmsm.edu.pe>

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Package geoperu updated to version 0.0.1 with previous version 0.0.0.2 dated 2024-04-01

Title: Download Spatial Datasets of Peru
Description: Provides access to official spatial datasets of Peru as 'sf' objects in 'R'. Includes administrative boundaries from the National Institute of Statistics and Informatics (INEI) <https://ide.inei.gob.pe/> and protected natural areas from the National Service of Natural Areas Protected by the State (SERNANP) <https://www.gob.pe/institucion/sernanp/pages/21261-acceder-a-informacion-espacial-de-las-area-naturales-protegidas-visor-de-informacion-geografica>. Harmonizes attributes, coordinate reference systems, and topology to support consistent spatial analysis and visualization.
Author: Paul E. Santos Andrade [aut, cre, cph]
Maintainer: Paul E. Santos Andrade <paulefrens@gmail.com>

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