Fri, 20 Sep 2024

Package kdml updated to version 1.1.0 with previous version 1.0.0 dated 2024-08-27

Title: Kernel Distance Metric Learning for Mixed-Type Data
Description: Distance metrics for mixed-type data consisting of continuous, nominal, and ordinal variables. This methodology uses additive and product kernels to calculate similarity functions and metrics, and selects variables relevant to the underlying distance through bandwidth selection via maximum similarity cross-validation. These methods can be used in any distance-based algorithm, such as distance-based clustering. For further details, we refer the reader to Ghashti and Thompson (2024) <<doi:10.48550/arXiv.2306.01890>> for dkps() methodology, and Ghashti (2024) <doi:10.14288/1.0443975> for dkss() methodology.
Author: John R. J. Thompson [aut, cre] , Jesse S. Ghashti [aut]
Maintainer: John R. J. Thompson <john.thompson@ubc.ca>

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Package glmmML updated to version 1.1.7 with previous version 1.1.6 dated 2023-11-28

Title: Generalized Linear Models with Clustering
Description: Binomial and Poisson regression for clustered data, fixed and random effects with bootstrapping.
Author: Goeran Brostroem [aut, cre], Jianming Jin [ctb], Henrik Holmberg [ctb]
Maintainer: Goeran Brostroem <goran.brostrom@umu.se>

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Package refund updated to version 0.1-37 with previous version 0.1-35 dated 2024-02-14

Title: Regression with Functional Data
Description: Methods for regression for functional data, including function-on-scalar, scalar-on-function, and function-on-function regression. Some of the functions are applicable to image data.
Author: Jeff Goldsmith [aut], Fabian Scheipl [aut], Lei Huang [aut], Julia Wrobel [aut, cre], Chongzhi Di [aut], Jonathan Gellar [aut], Jaroslaw Harezlak [aut], Mathew W. McLean [aut], Bruce Swihart [aut], Luo Xiao [aut], Ciprian Crainiceanu [aut], Philip T. [...truncated...]
Maintainer: Julia Wrobel <julia.wrobel@emory.edu>

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Package ltertools updated to version 1.1.0 with previous version 1.0.0 dated 2024-02-23

Title: Tools Developed by the Long Term Ecological Research Community
Description: Set of the data science tools created by various members of the Long Term Ecological Research (LTER) community. These functions were initially written largely as standalone operations and have later been aggregated into this package.
Author: Nicholas Lyon [aut, cre] , Angel Chen [aut] , Miguel C. Leon [ctb] , National Science Foundation [fnd] , University of California, Santa Barbara [cph]
Maintainer: Nicholas Lyon <lyon@nceas.ucsb.edu>

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Package lingtypology updated to version 1.1.19 with previous version 1.1.18 dated 2024-08-16

Title: Linguistic Typology and Mapping
Description: Provides R with the Glottolog database <https://glottolog.org/> and some more abilities for purposes of linguistic mapping. The Glottolog database contains the catalogue of languages of the world. This package helps researchers to make a linguistic maps, using philosophy of the Cross-Linguistic Linked Data project <https://clld.org/>, which allows for while at the same time facilitating uniform access to the data across publications. A tutorial for this package is available on GitHub pages <https://docs.ropensci.org/lingtypology/> and package vignette. Maps created by this package can be used both for the investigation and linguistic teaching. In addition, package provides an ability to download data from typological databases such as WALS, AUTOTYP and some others and to create your own database website.
Author: George Moroz [aut, cre] , Kirill Koncha [ctb] , Mikhail Leonov [ctb], Anna Smirnova [ctb], Ekaterina Zalivina [ctb]
Maintainer: George Moroz <agricolamz@gmail.com>

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Package Colossus updated to version 1.1.4.1 with previous version 1.1.3.1 dated 2024-09-12

Title: "Risk Model Regression and Analysis with Complex Non-Linear Models"
Description: Performs survival analysis using general non-linear models. Risk models can be the sum or product of terms. Each term is the product of exponential/linear functions of covariates. Additionally sub-terms can be defined as a sum of exponential, linear threshold, and step functions. Cox Proportional hazards <https://en.wikipedia.org/wiki/Proportional_hazards_model>, Poisson <https://en.wikipedia.org/wiki/Poisson_regression>, and Fine-Grey competing risks <https://www.publichealth.columbia.edu/research/population-health-methods/competing-risk-analysis> regression are supported. This work was sponsored by NASA Grant 80NSSC19M0161 through a subcontract from the National Council on Radiation Protection and Measurements (NCRP). The computing for this project was performed on the Beocat Research Cluster at Kansas State University, which is funded in part by NSF grants CNS-1006860, EPS-1006860, EPS-0919443, ACI-1440548, CHE-1726332, and NIH P20GM113109.
Author: Eric Giunta [aut, cre] , Amir Bahadori [ctb] , Dan Andresen [ctb], Linda Walsh [ctb] , Benjamin French [ctb] , Lawrence Dauer [ctb], John Boice Jr [ctb] , Kansas State University [cph], NASA [fnd], NCRP [fnd], NRC [fnd]
Maintainer: Eric Giunta <egiunta@ksu.edu>

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Package LSDsensitivity updated to version 1.3.0 with previous version 1.2.3 dated 2022-07-03

Title: Sensitivity Analysis Tools for LSD Simulations
Description: Tools for sensitivity analysis of LSD simulation models. Reads object-oriented data produced by LSD simulation models and performs screening and global sensitivity analysis (Sobol decomposition method, Saltelli et al. (2008) ISBN:9780470725177). A Kriging or polynomial meta-model (Kleijnen (2009) <doi:10.1016/j.ejor.2007.10.013>) is estimated using the simulation data to provide the data required by the Sobol decomposition. LSD (Laboratory for Simulation Development) is free software developed by Marco Valente and Marcelo C. Pereira (documentation and downloads available at <https://www.labsimdev.org/>).
Author: Marcelo C. Pereira [aut, cre]
Maintainer: Marcelo C. Pereira <mcper@unicamp.br>

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Package tidycensus updated to version 1.6.6 with previous version 1.6.5 dated 2024-07-25

Title: Load US Census Boundary and Attribute Data as 'tidyverse' and 'sf'-Ready Data Frames
Description: An integrated R interface to several United States Census Bureau APIs (<https://www.census.gov/data/developers/data-sets.html>) and the US Census Bureau's geographic boundary files. Allows R users to return Census and ACS data as tidyverse-ready data frames, and optionally returns a list-column with feature geometry for mapping and spatial analysis.
Author: Kyle Walker [aut, cre], Matt Herman [aut], Kris Eberwein [ctb]
Maintainer: Kyle Walker <kyle@walker-data.com>

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Package mapboxapi updated to version 0.6.2 with previous version 0.6 dated 2024-05-10

Title: R Interface to 'Mapbox' Web Services
Description: Includes support for 'Mapbox' Navigation APIs, including directions, isochrones, and route optimization; the Search API for forward and reverse geocoding; the Maps API for interacting with 'Mapbox' vector tilesets and visualizing 'Mapbox' maps in R; and 'Mapbox Tiling Service' and 'tippecanoe' for generating map tiles. See <https://docs.mapbox.com/api/> for more information about the 'Mapbox' APIs.
Author: Kyle Walker [aut, cre], Eli Pousson [ctb], Anthony North [ctb, cph], Miles McBain [ctb]
Maintainer: Kyle Walker <kyle@walker-data.com>

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Package latexSymb updated to version 0.4.2 with previous version 0.4.0 dated 2024-08-26

Title: Write Equations in a Way that You Can Read
Description: Utilities to help you write 'LaTeX' in a more readable way. Instead of using plain code or a series of 'newcommand' statements, use 'R' functions. You will be able to write what you mean and make fewer mistakes.
Author: Nicolas Escobar [aut, cre]
Maintainer: Nicolas Escobar <nescoba@iu.edu>

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Package eSDM updated to version 0.4.3 with previous version 0.4.2 dated 2024-07-11

Title: Ensemble Tool for Predictions from Species Distribution Models
Description: A tool which allows users to create and evaluate ensembles of species distribution model (SDM) predictions. Functionality is offered through R functions or a GUI (R Shiny app). This tool can assist users in identifying spatial uncertainties and making informed conservation and management decisions. The package is further described in Woodman et al (2019) <doi:10.1111/2041-210X.13283>.
Author: Sam Woodman [aut, cre]
Maintainer: Sam Woodman <sam.woodman@noaa.gov>

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Package dacc updated to version 0.0-5 with previous version 0.0-4 dated 2024-06-27

Title: Detection and Attribution Analysis of Climate Change
Description: Conduct detection and attribution of climate change using methods including optimal fingerprinting via generalized total least squares or estimating equation approach from Ma et al. (2023) <doi:10.1175/JCLI-D-22-0681.1>. Provide shrinkage estimators for covariance matrix from Ledoit and Wolf (2004) <doi:10.1016/S0047-259X(03)00096-4>, and Ledoit and Wolf (2017) <doi:10.2139/ssrn.2383361>.
Author: Yan Li [aut, cre], Kun Chen [aut], Jun Yan [aut]
Maintainer: Yan Li <yan.4.li@uconn.edu>

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Package wintime updated to version 0.2.0 with previous version 0.1.0 dated 2024-09-02

Title: Win Time Methods for Time-to-Event Data in Clinical Trials
Description: Performs an analysis of time-to-event clinical trial data using various "win time" methods, including 'ewt', 'ewtr', 'rmt', 'max', 'wtr', 'rwtr', and 'pwt'. These methods are used to calculate and compare treatment effects on ordered composite endpoints. The package handles event times, event indicators, and treatment arm indicators and supports calculations on observed and resampled data. Detailed explanations of each method and usage examples are provided in "Use of win time for ordered composite endpoints in clinical trials," by Troendle et al. (2024)<https://pubmed.ncbi.nlm.nih.gov/38417455/>. For more information, see the package documentation or the vignette titled "Introduction to wintime."
Author: James Troendle [aut, cre], Samuel Lawrence [aut]
Maintainer: James Troendle <james.troendle@nih.gov>

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Package rtables updated to version 0.6.10 with previous version 0.6.9 dated 2024-06-27

Title: Reporting Tables
Description: Reporting tables often have structure that goes beyond simple rectangular data. The 'rtables' package provides a framework for declaring complex multi-level tabulations and then applying them to data. This framework models both tabulation and the resulting tables as hierarchical, tree-like objects which support sibling sub-tables, arbitrary splitting or grouping of data in row and column dimensions, cells containing multiple values, and the concept of contextual summary computations. A convenient pipe-able interface is provided for declaring table layouts and the corresponding computations, and then applying them to data.
Author: Gabriel Becker [aut] , Adrian Waddell [aut], Daniel Sabanes Bove [ctb], Maximilian Mordig [ctb], Davide Garolini [ctb], Emily de la Rua [ctb], Abinaya Yogasekaram [ctb], Joe Zhu [ctb, cre], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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Package nc updated to version 2024.9.20 with previous version 2024.2.21 dated 2024-02-22

Title: Named Capture to Data Tables
Description: User-friendly functions for extracting a data table (row for each match, column for each group) from non-tabular text data using regular expressions, and for melting columns that match a regular expression. Patterns are defined using a readable syntax that makes it easy to build complex patterns in terms of simpler, re-usable sub-patterns. Named R arguments are translated to column names in the output; capture groups without names are used internally in order to provide a standard interface to three regular expression 'C' libraries ('PCRE', 'RE2', 'ICU'). Output can also include numeric columns via user-specified type conversion functions.
Author: Toby Hocking [aut, cre]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

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Package monolix2rx updated to version 0.0.2 with previous version 0.0.1 dated 2024-09-20

Title: Converts 'Monolix' Models to 'rxode2'
Description: 'Monolix' is a tool for running mixed effects model using 'saem'. This tool allows you to convert 'Monolix' models to 'rxode2' (Wang, Hallow and James (2016) <doi:10.1002/psp4.12052>) using the form compatible with 'nlmixr2' (Fidler et al (2019) <doi:10.1002/psp4.12445>). If available, the 'rxode2' model will read in the 'Monolix' data and compare the simulation for the population model individual model and residual model to immediately show how well the translation is performing. This saves the model development time for people who are creating an 'rxode2' model manually. Additionally, this package reads in all the information to allow simulation with uncertainty (that is the number of observations, the number of subjects, and the covariance matrix) with a 'rxode2' model. This is complementary to the 'babelmixr2' package that translates 'nlmixr2' models to 'Monolix' and can convert the objects converted from 'monolix2rx' to a full 'nlmixr2' fit. While not required, you c [...truncated...]
Author: Matthew Fidler [aut, cre] , Justin Wilkins [ctb]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package rxode2random (with last version 2.1.1) was removed from CRAN

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

2024-05-27 2.1.1
2024-01-30 2.0.13
2023-12-11 2.0.12
2023-03-28 2.0.11
2023-03-17 2.0.10
2022-10-11 2.0.9

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Package rxode2et (with last version 2.0.13) was removed from CRAN

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

2024-05-27 2.0.13
2024-01-30 2.0.12
2023-12-11 2.0.11
2023-03-17 2.0.10
2022-10-13 2.0.9

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Package scdtb updated to version 0.2.0 with previous version 0.1.0 dated 2024-04-30

Title: Single Case Design Tools
Description: In some situations where researchers would like to demonstrate causal effects, it is hard to obtain a sample size that would allow for a well-powered randomized controlled trial. Single case designs are experimental designs that can be used to demonstrate causal effects with only one participant or with only a few participants. The 'scdtb' package provides a suite of tools for analyzing data from studies that use single case designs. The nap() function can be used to compute the nonoverlap of all pairs as outlined by the What Works Clearinghouse (2022) <https://ies.ed.gov/ncee/wwc/Handbooks>. The package also offers the mixed_model_analysis() and cross_lagged() functions which implement mixed effects models and cross lagged analyses as described in Maric & van der Werff (2020) <doi:10.4324/9780429273872-9>. The randomization_test() function implements randomization tests based on methods presented in Onghena (2020) <doi:10.4324/9780429273872-8>. The scdtb() 'shiny [...truncated...]
Author: Mackson Ncube [aut, cre], mightymetrika, LLC [cph, fnd]
Maintainer: Mackson Ncube <macksonncube.stats@gmail.com>

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Package mclustAddons updated to version 0.9 with previous version 0.8 dated 2024-03-01

Title: Addons for the 'mclust' Package
Description: Extend the functionality of the 'mclust' package for Gaussian finite mixture modeling by including: density estimation for data with bounded support (Scrucca, 2019 <doi:10.1002/bimj.201800174>); modal clustering using MEM (Modal EM) algorithm for Gaussian mixtures (Scrucca, 2021 <doi:10.1002/sam.11527>); entropy estimation via Gaussian mixture modeling (Robin & Scrucca, 2023 <doi:10.1016/j.csda.2022.107582>).
Author: Luca Scrucca [aut, cre, cph]
Maintainer: Luca Scrucca <luca.scrucca@unipg.it>

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Package ks updated to version 1.14.3 with previous version 1.14.2 dated 2024-01-15

Title: Kernel Smoothing
Description: Kernel smoothers for univariate and multivariate data, with comprehensive visualisation and bandwidth selection capabilities, including for densities, density derivatives, cumulative distributions, clustering, classification, density ridges, significant modal regions, and two-sample hypothesis tests. Chacon & Duong (2018) <doi:10.1201/9780429485572>.
Author: Tarn Duong [aut, cre] , Matt Wand [ctb] , Jose Chacon [ctb], Artur Gramacki [ctb]
Maintainer: Tarn Duong <tarn.duong@gmail.com>

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Package bamdit updated to version 3.4.2 with previous version 3.4.1 dated 2024-07-12

Title: Bayesian Meta-Analysis of Diagnostic Test Data
Description: Provides a new class of Bayesian meta-analysis models that incorporates a model for internal and external validity bias. In this way, it is possible to combine studies of diverse quality and different types. For example, we can combine the results of randomized control trials (RCTs) with the results of observational studies (OS).
Author: Pablo Emilio Verde [aut, cre]
Maintainer: Pablo Emilio Verde <pabloemilio.verde@hhu.de>

Diff between bamdit versions 3.4.1 dated 2024-07-12 and 3.4.2 dated 2024-09-20

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Package fftw updated to version 1.0-9 with previous version 1.0-8 dated 2024-01-08

Title: Fast FFT and DCT Based on the FFTW Library
Description: Provides a simple and efficient wrapper around the fastest Fourier transform in the west (FFTW) library <http://www.fftw.org/>.
Author: Olaf Mersmann [aut], Sebastian Krey [ctb], Uwe Ligges [ctb, cre]
Maintainer: Uwe Ligges <ligges@statistik.tu-dortmund.de>

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Package ff updated to version 4.5.0 with previous version 4.0.12 dated 2024-01-12

Title: Memory-Efficient Storage of Large Data on Disk and Fast Access Functions
Description: The ff package provides data structures that are stored on disk but behave (almost) as if they were in RAM by transparently mapping only a section (pagesize) in main memory - the effective virtual memory consumption per ff object. ff supports R's standard atomic data types 'double', 'logical', 'raw' and 'integer' and non-standard atomic types boolean (1 bit), quad (2 bit unsigned), nibble (4 bit unsigned), byte (1 byte signed with NAs), ubyte (1 byte unsigned), short (2 byte signed with NAs), ushort (2 byte unsigned), single (4 byte float with NAs). For example 'quad' allows efficient storage of genomic data as an 'A','T','G','C' factor. The unsigned types support 'circular' arithmetic. There is also support for close-to-atomic types 'factor', 'ordered', 'POSIXct', 'Date' and custom close-to-atomic types. ff not only has native C-support for vectors, matrices and arrays with flexible dimorder (major column-order, major row-order and generalizations for arrays). There is also a ffdf cla [...truncated...]
Author: Daniel Adler [aut], Christian Glaeser [ctb], Oleg Nenadic [ctb], Jens Oehlschlaegel [aut, cre], Martijn Schuemie [ctb], Walter Zucchini [ctb]
Maintainer: Jens Oehlschlaegel <Jens.Oehlschlaegel@truecluster.com>

Diff between ff versions 4.0.12 dated 2024-01-12 and 4.5.0 dated 2024-09-20

 DESCRIPTION             |   41 +++++++++----
 MD5                     |  130 +++++++++++++++++++++---------------------
 NEWS                    |   10 +++
 R/CFUN.R                |    2 
 R/as.ff.R               |    2 
 R/ff.R                  |  114 ++++++++++++++++++-------------------
 R/ffapply.R             |    4 -
 R/ffbit.R               |    4 -
 R/ffcsv.R               |    2 
 R/ffdf.R                |   28 ++++-----
 R/fffactor.R            |    2 
 R/hi.R                  |   36 +++++------
 R/ordermerge.R          |   34 +++++------
 R/util.R                |    2 
 R/vt.R                  |    6 -
 R/zzz.R                 |    9 ++
 man/CFUN.rd             |    2 
 man/Extract.ff.rd       |    4 -
 man/Extract.ffdf.rd     |    2 
 man/LimWarn.rd          |    8 +-
 man/as.ff.bit.rd        |    4 -
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 man/as.hi.rd            |   24 +++----
 man/chunk.ffdf.rd       |    6 -
 man/clone.ff.rd         |    8 +-
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 man/close.ff.rd         |    2 
 man/delete.rd           |    2 
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 man/ff.rd               |   28 ++++-----
 man/ffapply.rd          |    4 -
 man/ffdf.rd             |   12 +--
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 man/ffindexorder.rd     |    4 -
 man/fforder.rd          |    6 -
 man/ffsort.rd           |   10 +--
 man/filename.rd         |    2 
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 man/hi.rd               |    6 -
 man/is.open.rd          |    2 
 man/is.readonly.rd      |    4 -
 man/is.sorted.rd        |   10 +--
 man/length.ff.rd        |    4 -
 man/length.hi.rd        |    6 -
 man/levels.ff.rd        |    4 -
 man/maxlength.rd        |    2 
 man/na.count.rd         |    2 
 man/names.ff.rd         |    2 
 man/open.ff.rd          |    4 -
 man/physical.ff.rd      |    4 -
 man/physical.ffdf.rd    |    2 
 man/ramattribs.rd       |    2 
 man/ramorder.default.rd |    2 
 man/ramsort.default.rd  |    2 
 man/read.table.ffdf.rd  |    2 
 man/readwrite.ff.rd     |    2 
 man/regtest.fforder.rd  |    2 
 man/repnam.rd           |    2 
 man/sortLevels.rd       |    2 
 man/update.ff.rd        |    2 
 man/vt.rd               |    6 -
 man/vw.rd               |    4 -
 src/ordermerge.c        |  146 ++++++++++++++++++++++++------------------------
 src/r_file_resize.cpp   |    2 
 66 files changed, 424 insertions(+), 386 deletions(-)

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Package ciftiTools updated to version 0.16.1 with previous version 0.15.1 dated 2024-06-25

Title: Tools for Reading, Writing, Viewing and Manipulating CIFTI Files
Description: CIFTI files contain brain imaging data in "grayordinates," which represent the gray matter as cortical surface vertices (left and right) and subcortical voxels (cerebellum, basal ganglia, and other deep gray matter). 'ciftiTools' provides a unified environment for reading, writing, visualizing and manipulating CIFTI-format data. It supports the "dscalar," "dlabel," and "dtseries" intents. Grayordinate data is read in as a "xifti" object, which is structured for convenient access to the data and metadata, and includes support for surface geometry files to enable spatially-dependent functionality such as static or interactive visualizations and smoothing.
Author: Amanda Mejia [aut, cre], Damon Pham [aut] , John Muschelli [ctb]
Maintainer: Amanda Mejia <mandy.mejia@gmail.com>

Diff between ciftiTools versions 0.15.1 dated 2024-06-25 and 0.16.1 dated 2024-09-20

 DESCRIPTION                         |    8 ++---
 MD5                                 |   57 ++++++++++++++++++------------------
 NAMESPACE                           |    2 +
 R/fix_xifti.R                       |   15 ++++++++-
 R/make_xifti_components.R           |   12 ++++---
 R/move_submask.R                    |only
 R/view_xifti_surface.R              |    6 +--
 R/write_cifti.R                     |    2 +
 R/write_nifti.R                     |    9 +++++
 README.md                           |    2 +
 man/add_surf.Rd                     |    1 
 man/apply_parc.Rd                   |    1 
 man/apply_xifti.Rd                  |    1 
 man/combine_xifti.Rd                |    1 
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 man/newdata_xifti.Rd                |    1 
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 man/resample_cifti_from_template.Rd |    1 
 man/scale_xifti.Rd                  |    1 
 man/select_xifti.Rd                 |    1 
 man/set_names_xifti.Rd              |    1 
 man/smooth_cifti.Rd                 |    1 
 man/transform_xifti.Rd              |    1 
 tests/testthat/test-misc.R          |    5 +++
 31 files changed, 96 insertions(+), 42 deletions(-)

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Package bit updated to version 4.5.0 with previous version 4.0.5 dated 2022-11-15

Title: Classes and Methods for Fast Memory-Efficient Boolean Selections
Description: Provided are classes for boolean and skewed boolean vectors, fast boolean methods, fast unique and non-unique integer sorting, fast set operations on sorted and unsorted sets of integers, and foundations for ff (range index, compression, chunked processing).
Author: Jens Oehlschlaegel [aut, cre], Brian Ripley [ctb]
Maintainer: Jens Oehlschlaegel <Jens.Oehlschlaegel@truecluster.com>

Diff between bit versions 4.0.5 dated 2022-11-15 and 4.5.0 dated 2024-09-20

 DESCRIPTION                  |   24 ++++++----
 MD5                          |   68 ++++++++++++++--------------
 NEWS                         |   16 ++++++
 R/bit-package.R              |   17 -------
 R/zzz.R                      |   20 ++++++++
 build/vignette.rds           |binary
 inst/doc/bit-demo.R          |    6 +-
 inst/doc/bit-demo.pdf        |binary
 inst/doc/bit-performance.R   |  102 +++++++++++++++++++++----------------------
 inst/doc/bit-performance.pdf |binary
 inst/doc/bit-usage.R         |    8 +--
 inst/doc/bit-usage.pdf       |binary
 man/as.bit.Rd                |   18 +++----
 man/as.bitwhich.Rd           |   18 +++----
 man/as.booltype.Rd           |    4 -
 man/as.ri.Rd                 |    6 +-
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 man/bit_setops.Rd            |   12 ++---
 man/bit_unidup.Rd            |   10 ++--
 man/chunk.Rd                 |    4 -
 man/clone.Rd                 |    4 -
 man/getsetattr.Rd            |    6 +-
 man/intrle.Rd                |    6 +-
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 man/maxindex.Rd              |   29 ++++++------
 man/merge_rev.Rd             |   46 +++++++++----------
 man/str.bit.Rd               |    2 
 man/str.bitwhich.Rd          |    2 
 man/xor.Rd                   |   43 +++++++++---------
 src/bit.c                    |   34 +++++++-------
 src/integerutil.c            |   28 ++++++++---
 src/merge.c                  |   14 ++---
 src/merge.h                  |    4 -
 src/rle.c                    |   12 ++---
 35 files changed, 321 insertions(+), 276 deletions(-)

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Package SSBtools updated to version 1.5.4 with previous version 1.5.2 dated 2024-05-16

Title: Statistics Norway's Miscellaneous Tools
Description: Functions used by other packages from Statistics Norway are gathered. General data manipulation functions, algorithms for statistical disclosure control (Langsrud, 2024) <doi:10.1007/978-3-031-69651-0_6> and functions for hierarchical computations by sparse model matrices are included (Langsrud, 2023) <doi:10.32614/RJ-2023-088>.
Author: Oeyvind Langsrud [aut, cre] , Daniel Lupp [aut] , Bjoern-Helge Mevik [ctb], Vidar Norstein Klungre [rev] , Statistics Norway [cph]
Maintainer: Oeyvind Langsrud <oyl@ssb.no>

Diff between SSBtools versions 1.5.2 dated 2024-05-16 and 1.5.4 dated 2024-09-20

 DESCRIPTION                       |   22 ++---
 MD5                               |   37 ++++----
 NAMESPACE                         |    3 
 NEWS.md                           |   27 ++++++
 R/FormulaSums.R                   |  165 ++++++++++++++++++++++++++++++--------
 R/GaussSuppression.R              |   13 ++
 R/ModelMatrix.R                   |    8 +
 R/NumSingleton.R                  |   11 ++
 R/Reduce0exact.R                  |    2 
 R/RowGroups.R                     |  125 ++++++++++++++++++++++++++++
 R/aggregate_by_pkg.R              |only
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 man/FormulaSums.Rd                |   19 ++++
 man/GaussSuppression.Rd           |   12 ++
 man/ModelMatrix.Rd                |    7 +
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 man/Reduce0exact.Rd               |    2 
 man/RowGroups.Rd                  |   13 ++
 man/aggregate_by_pkg.Rd           |only
 tests/testthat/test-ModelMatrix.R |   36 ++++++++
 21 files changed, 450 insertions(+), 76 deletions(-)

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Package Rvcg updated to version 0.24 with previous version 0.23 dated 2024-06-27

Title: Manipulations of Triangular Meshes Based on the 'VCGLIB' API
Description: Operations on triangular meshes based on 'VCGLIB'. This package integrates nicely with the R-package 'rgl' to render the meshes processed by 'Rvcg'. The Visualization and Computer Graphics Library (VCG for short) is an open source portable C++ templated library for manipulation, processing and displaying with OpenGL of triangle and tetrahedral meshes. The library, composed by more than 100k lines of code, is released under the GPL license, and it is the base of most of the software tools of the Visual Computing Lab of the Italian National Research Council Institute ISTI <https://vcg.isti.cnr.it/>, like 'metro' and 'MeshLab'. The 'VCGLIB' source is pulled from trunk <https://github.com/cnr-isti-vclab/vcglib> and patched to work with options determined by the configure script as well as to work with the header files included by 'RcppEigen'.
Author: Stefan Schlager [aut, cre, cph], Girinon Francois [ctb], Tim Schaefer [ctb], Zhengjia Wang [ctb]
Maintainer: Stefan Schlager <zarquon42@gmail.com>

Diff between Rvcg versions 0.23 dated 2024-06-27 and 0.24 dated 2024-09-20

 DESCRIPTION                                          |    8 ++++----
 MD5                                                  |   16 ++++++++--------
 R/Rvcg-package.R                                     |    4 ++--
 R/vcgImport.r                                        |    2 +-
 R/vcgMetro.r                                         |    2 +-
 man/Rvcg-package.Rd                                  |    4 ++--
 man/vcgMetro.Rd                                      |    2 +-
 src/Makevars                                         |    4 ++--
 src/vcglib/vcg/complex/algorithms/update/selection.h |    2 +-
 9 files changed, 22 insertions(+), 22 deletions(-)

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Package neuroimaGene updated to version 0.1.1 with previous version 0.1.0 dated 2024-07-03

Title: Transcriptomic Atlas of Neuroimaging Derived Phenotypes
Description: Contains functions to query and visualize the Neuroimaging features associated with genetically regulated gene expression (GReX). The primary utility, neuroimaGene(), relies on a list of user-defined genes and returns a table of neuroimaging features (NIDPs) associated with each gene. This resource is designed to assist in the interpretation of genome-wide and transcriptome-wide association studies that evaluate brain related traits. Bledsoe (2024) <doi:10.1016/j.ajhg.2024.06.002>. In addition there are several visualization functions that generate summary plots and 2-dimensional visualizations of regional brain measures. Mowinckel (2020).
Author: Xavier Bledsoe [aut, cre] , Eric Gamazon [aut]
Maintainer: Xavier Bledsoe <xavier.bledsoe@vanderbilt.edu>

Diff between neuroimaGene versions 0.1.0 dated 2024-07-03 and 0.1.1 dated 2024-09-20

 neuroimaGene-0.1.0/neuroimaGene/data/nidp_anno.rda         |only
 neuroimaGene-0.1.1/neuroimaGene/DESCRIPTION                |   10 +--
 neuroimaGene-0.1.1/neuroimaGene/MD5                        |   36 ++++++-------
 neuroimaGene-0.1.1/neuroimaGene/R/NIDP_names.R             |    3 -
 neuroimaGene-0.1.1/neuroimaGene/R/anno_doc.R               |    5 +
 neuroimaGene-0.1.1/neuroimaGene/R/neuro_vis.R              |   11 +--
 neuroimaGene-0.1.1/neuroimaGene/R/neuroimagene_pkg.R       |   26 +++++++--
 neuroimaGene-0.1.1/neuroimaGene/R/plot_gn_nidp.R           |   18 ++++--
 neuroimaGene-0.1.1/neuroimaGene/R/plot_nidps.R             |   25 +++++++--
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 neuroimaGene-0.1.1/neuroimaGene/inst/doc/neuroimaGene.Rmd  |    6 +-
 neuroimaGene-0.1.1/neuroimaGene/inst/doc/neuroimaGene.html |   16 ++---
 neuroimaGene-0.1.1/neuroimaGene/man/anno.Rd                |    5 +
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 neuroimaGene-0.1.1/neuroimaGene/man/plot_gnNIDP.Rd         |   11 +++
 neuroimaGene-0.1.1/neuroimaGene/man/plot_nidps.Rd          |   13 ++++
 neuroimaGene-0.1.1/neuroimaGene/vignettes/neuroimaGene.Rmd |    6 +-
 20 files changed, 152 insertions(+), 80 deletions(-)

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Package naaccr updated to version 3.1.1 with previous version 3.1.0 dated 2024-09-20

Title: Read Cancer Records in the NAACCR Format
Description: Functions for reading cancer record files which follow a format defined by the North American Association of Central Cancer Registries (NAACCR).
Author: Nathan Werth [aut, cre], Pennsylvania Department of Health [cph], North American Association of Cancer Registries [cph], World Health Organization [cph], United States Centers for Disease Control and Prevention [cph], United States Bureau of the Cens [...truncated...]
Maintainer: Nathan Werth <nwerth@pa.gov>

Diff between naaccr versions 3.1.0 dated 2024-09-20 and 3.1.1 dated 2024-09-20

 DESCRIPTION                             |    6 +++---
 MD5                                     |    8 ++++----
 NAMESPACE                               |    1 +
 R/write_naaccr.R                        |   13 ++++---------
 tests/testthat/test-item-interpreting.R |    9 +++++++++
 5 files changed, 21 insertions(+), 16 deletions(-)

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Package mvgb updated to version 0.0.5 with previous version 0.0.4 dated 2023-09-02

Title: Multivariate Probabilities of Scale Mixtures of Multivariate Normal Distributions via the Genz and Bretz (2002) QRSVN Method
Description: Generates multivariate subgaussian stable probabilities using the QRSVN algorithm as detailed in Genz and Bretz (2002) <DOI:10.1198/106186002394> but by sampling positive stable variates not chi/sqrt(nu).
Author: Alan Genz [aut] , Bruce Swihart [aut, cre]
Maintainer: Bruce Swihart <bruce.swihart@gmail.com>

Diff between mvgb versions 0.0.4 dated 2023-09-02 and 0.0.5 dated 2024-09-20

 DESCRIPTION |    6 +++---
 MD5         |    8 ++++----
 NEWS.md     |    4 ++++
 man/mvgb.Rd |    1 +
 src/F77.c   |    2 +-
 5 files changed, 13 insertions(+), 8 deletions(-)

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New package kgraph with initial version 1.0.0
Package: kgraph
Title: Knowledge Graphs Constructions and Visualizations
Version: 1.0.0
Description: Knowledge graphs enable to efficiently visualize and gain insights into large-scale data analysis results, as p-values from multiple studies or embedding data matrices. The usual workflow is a user providing a data frame of association studies results and specifying target nodes, e.g. phenotypes, to visualize. The knowledge graph then shows all the features which are significantly associated with the phenotype, with the edges being proportional to the association scores. As the user adds several target nodes and grouping information about the nodes such as biological pathways, the construction of such graphs soon becomes complex. The 'kgraph' package aims to enable users to easily build such knowledge graphs, and provides two main features: first, to enable building a knowledge graph based on a data frame of concepts relationships, be it p-values or cosine similarities; second, to enable determining an appropriate cut-off on cosine similarities from a complete embedding matrix, to enab [...truncated...]
Imports: amap, bslib, data.table, dplyr, DT, grid, htmltools, igraph, magrittr, Matrix, pROC, plyr, RColorBrewer, reshape2, rsvd, sgraph, shiny, text2vec
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
URL: https://gitlab.com/thomaschln/kgraph
BugReports: https://gitlab.com/thomaschln/kgraph/-/issues
NeedsCompilation: no
Packaged: 2024-09-19 19:28:49 UTC; root
Author: Thomas Charlon [aut, cre] , Hongyi Yuan [ctb] , CELEHS [aut] , PARSE Health [aut]
Maintainer: Thomas Charlon <charlon@protonmail.com>
Repository: CRAN
Date/Publication: 2024-09-20 14:30:02 UTC

More information about kgraph at CRAN
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New package hellorust with initial version 1.2.1
Package: hellorust
Title: Minimal Examples of Using Rust Code in R
Version: 1.2.1
Description: Template R package with minimal setup to use Rust code in R without hacks or frameworks. Includes basic examples of importing cargo dependencies, spawning threads and passing numbers or strings from Rust to R. Cargo crates are automatically 'vendored' in the R source package to support offline installation. The GitHub repository for this package has more details and also explains how to set up CI. This project was first presented at 'Erum2018' to showcase R-Rust integration <https://jeroen.github.io/erum2018/>; for a real world use-case, see the 'gifski' package on 'CRAN'.
License: MIT + file LICENSE
URL: https://github.com/r-rust/hellorust
BugReports: https://github.com/r-rust/hellorust/issues
SystemRequirements: Cargo (Rust's package manager), rustc
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-09-19 17:09:37 UTC; jeroen
Author: Jeroen Ooms [aut, cre] , Authors of the dependency Rust crates [aut]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-20 14:10:06 UTC

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New package diathor with initial version 0.1.4
Package: diathor
Title: Calculate Ecological Information and Diatom Based Indices
Version: 0.1.4
Maintainer: Joaquin Cochero <jcochero@ilpla.edu.ar>
Description: Calculate multiple biotic indices using diatoms from environmental samples. Diatom species are identified by their species names through a heuristic search, and ecological data is retrieved from multiple sources. The package includes the calculation of chloroplast diversity indices, size classes, ecological guilds, and various biotic indices. It outputs both a dataframe with all the results and plots of the obtained data in a specified output folder. Sample data is sourced from Nicolosi Gelis, Cochero, & GĂłmez (2020, <doi:10.1016/j.ecolind.2019.105951>). The package utilizes the 'Diat.Barcode' database for morphological and ecological information by Rimet & Couchez (2012, <doi:10.1051/kmae/2012018>), along with the combined classification of guilds and size classes from B-Beres et al. (2017, <doi:10.1016/j.ecolind.2017.07.007>). Currently supported diatom-based biotic indices include DES index (Descy, 1979); EPID index (Dell'Uomo, 1996); IDAP index (Prygiel &a [...truncated...]
License: GNU General Public License
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10), stringdist, vegan, ggplot2, tidyr
Imports: data.table, purrr, stringr, tibble
Suggests: knitr, rmarkdown,
NeedsCompilation: no
Packaged: 2024-09-20 12:59:08 UTC; Juaco
Author: Maria Mercedes Nicolosi Gelis [aut] , Maria Belen Sathicq [aut] , Joaquin Cochero [cre]
Repository: CRAN
Date/Publication: 2024-09-20 14:10:09 UTC

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New package conversim with initial version 0.1.0
Package: conversim
Title: Conversation Similarity Analysis
Version: 0.1.0
Description: Analyze and compare conversations using various similarity measures including topic, lexical, semantic, structural, stylistic, sentiment, participant, and timing similarities. Supports both pairwise conversation comparisons and analysis of multiple dyads. Methods are based on established research: Topic modeling: Blei et al. (2003) <doi:10.1162/jmlr.2003.3.4-5.993>; Landauer et al. (1998) <doi:10.1080/01638539809545028>; Lexical similarity: Jaccard (1912) <doi:10.1111/j.1469-8137.1912.tb05611.x>; Semantic similarity: Salton & Buckley (1988) <doi:10.1016/0306-4573(88)90021-0>; Mikolov et al. (2013) <doi:10.48550/arXiv.1301.3781>; Pennington et al. (2014) <doi:10.3115/v1/D14-1162>; Structural and stylistic analysis: Graesser et al. (2004) <doi:10.1075/target.21131.ryu>; Sentiment analysis: Rinker (2019) <https://github.com/trinker/sentimentr>.
License: GPL (>= 3)
Imports: tm (>= 0.7-8), lsa (>= 0.73.2), topicmodels (>= 0.2-12), sentimentr (>= 2.7.1), word2vec, lme4, slam, ggplot2, stats
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/chaoliu-cl/conversim, http://liu-chao.site/conversim/
BugReports: https://github.com/chaoliu-cl/conversim/issues
NeedsCompilation: no
Packaged: 2024-09-19 18:30:46 UTC; psych
Author: Chao Liu [aut, cre, cph]
Maintainer: Chao Liu <chaoliu@cedarville.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-09-20 14:10:13 UTC

More information about conversim at CRAN
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Package bigsnpr updated to version 1.12.15 with previous version 1.12.2 dated 2023-03-28

Title: Analysis of Massive SNP Arrays
Description: Easy-to-use, efficient, flexible and scalable tools for analyzing massive SNP arrays. Privé et al. (2018) <doi:10.1093/bioinformatics/bty185>.
Author: Florian Prive [aut, cre], Michael Blum [ths], Hugues Aschard [ths], Bjarni Johann Vilhjalmsson [ths]
Maintainer: Florian Prive <florian.prive.21@gmail.com>

Diff between bigsnpr versions 1.12.2 dated 2023-03-28 and 1.12.15 dated 2024-09-20

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 bigsnpr-1.12.15/bigsnpr/MD5                                |  153 ++++-----
 bigsnpr-1.12.15/bigsnpr/NAMESPACE                          |    2 
 bigsnpr-1.12.15/bigsnpr/NEWS.md                            |   50 +++
 bigsnpr-1.12.15/bigsnpr/R/LDpred2.R                        |    6 
 bigsnpr-1.12.15/bigsnpr/R/PRS.R                            |    4 
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 bigsnpr-1.12.15/bigsnpr/R/external-software.R              |    2 
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Permanent link

New package twingp with initial version 1.0.0
Package: twingp
Title: A Fast Global-Local Gaussian Process Approximation
Version: 1.0.0
Date: 2024-08-24
Copyright: See the file COPYRIGHTS for copyright details
Description: A global-local approximation framework for large-scale Gaussian process modeling. Please see Vakayil and Joseph (2024) <doi:10.1080/00401706.2023.2296451> for details. This work is supported by U.S. NSF grants CMMI-1921646 and DMREF-1921873.
License: Apache License (== 2.0)
Depends: R (>= 3.0.2)
Imports: Rcpp, nloptr (>= 1.2.0)
LinkingTo: Rcpp, RcppEigen, nloptr (>= 1.2.0)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-08-31 15:47:29 UTC; akhil
Author: Akhil Vakayil [aut, cre] , V. Roshan Joseph [aut, ths] , Jose L. Blanco [ctb]
Maintainer: Akhil Vakayil <akhilv@gatech.edu>
Repository: CRAN
Date/Publication: 2024-09-20 13:40:02 UTC

More information about twingp at CRAN
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Package spatstat.linnet updated to version 3.2-2 with previous version 3.2-1 dated 2024-07-15

Title: Linear Networks Functionality of the 'spatstat' Family
Description: Defines types of spatial data on a linear network and provides functionality for geometrical operations, data analysis and modelling of data on a linear network, in the 'spatstat' family of packages. Contains definitions and support for linear networks, including creation of networks, geometrical measurements, topological connectivity, geometrical operations such as inserting and deleting vertices, intersecting a network with another object, and interactive editing of networks. Data types defined on a network include point patterns, pixel images, functions, and tessellations. Exploratory methods include kernel estimation of intensity on a network, K-functions and pair correlation functions on a network, simulation envelopes, nearest neighbour distance and empty space distance, relative risk estimation with cross-validated bandwidth selection. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Mont [...truncated...]
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Greg McSwiggan [aut, cph], Tilman Davies [ctb, cph], Mehdi Moradi [ctb, cph], Suman Rakshit [ctb, cph], Ottmar Cronie [ctb]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.linnet versions 3.2-1 dated 2024-07-15 and 3.2-2 dated 2024-09-20

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New package sg with initial version 0.1.0
Package: sg
Title: 'SendGrid' Email API Client
Version: 0.1.0
Description: Minimalistic 'SendGrid' Email API client for creating and sending emails. For more information, visit the official 'SendGrid' Email API documentation: <https://sendgrid.com/en-us/solutions/email-api>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/botan/sg
BugReports: https://github.com/botan/sg/issues
Depends: R (>= 4.2)
Imports: base64enc, httr2, mime, rlang
NeedsCompilation: no
Packaged: 2024-09-19 16:22:07 UTC; botan
Author: Botan Agin [aut, cre]
Maintainer: Botan Agin <aginbotan@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-20 14:00:02 UTC

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Package repeated updated to version 1.1.9 with previous version 1.1.8 dated 2024-06-14

Title: Non-Normal Repeated Measurements Models
Description: Various functions to fit models for non-normal repeated measurements, such as Binary Random Effects Models with Two Levels of Nesting, Bivariate Beta-binomial Regression Models, Marginal Bivariate Binomial Regression Models, Cormack capture-recapture models, Continuous-time Hidden Markov Chain Models, Discrete-time Hidden Markov Chain Models, Changepoint Location Models using a Continuous-time Two-state Hidden Markov Chain, generalized nonlinear autoregression models, multivariate Gaussian copula models, generalized non-linear mixed models with one random effect, generalized non-linear mixed models using h-likelihood for one random effect, Repeated Measurements Models for Counts with Frailty or Serial Dependence, Repeated Measurements Models for Continuous Variables with Frailty or Serial Dependence, Ordinal Random Effects Models with Dropouts, marginal homogeneity models for square contingency tables, correlated negative binomial models with Kalman update. References include Lindsey's [...truncated...]
Author: Bruce Swihart [cre, aut], Jim Lindsey [aut] , T.R. Ten Have [ctb, cph] .), Richard Cook [ctb, cph] , Iain MacDonald [ctb, cph] , Walter Zucchini [ctb, cph] , Burton Garbow [ctb, cph] , Euginia Zharichenko [ctb, cph]
Maintainer: Bruce Swihart <bruce.swihart@gmail.com>

Diff between repeated versions 1.1.8 dated 2024-06-14 and 1.1.9 dated 2024-09-20

 DESCRIPTION   |    6 +++---
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Package renv updated to version 1.0.8 with previous version 1.0.6 dated 2024-04-11

Title: Project Environments
Description: A dependency management toolkit for R. Using 'renv', you can create and manage project-local R libraries, save the state of these libraries to a 'lockfile', and later restore your library as required. Together, these tools can help make your projects more isolated, portable, and reproducible.
Author: Kevin Ushey [aut, cre] , Hadley Wickham [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Kevin Ushey <kevin@rstudio.com>

Diff between renv versions 1.0.6 dated 2024-04-11 and 1.0.8 dated 2024-09-20

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More information about renv at CRAN
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Package rcpptimer updated to version 1.2.0 with previous version 1.1.0 dated 2024-03-20

Title: 'Rcpp' Tic-Toc Timer with 'OpenMP' Support
Description: Provides 'Rcpp' bindings for 'cpptimer', a simple tic-toc timer class for benchmarking 'C++' code <https://github.com/BerriJ/cpptimer>. It's not just simple, it's blazing fast! This sleek tic-toc timer class supports overlapping timers as well as 'OpenMP' parallelism <https://www.openmp.org/>. It boasts a nanosecond-level time resolution. We did not find any overhead of the timer itself at this resolution. Results (with summary statistics) are automatically passed back to 'R' as a data frame.
Author: Jonathan Berrisch [aut, cre]
Maintainer: Jonathan Berrisch <Jonathan@Berrisch.biz>

Diff between rcpptimer versions 1.1.0 dated 2024-03-20 and 1.2.0 dated 2024-09-20

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More information about rcpptimer at CRAN
Permanent link

Package Rcereal updated to version 1.3.2 with previous version 1.2.1.1 dated 2020-10-14

Title: "Cereal Headers for R and C++ Serialization"
Description: To facilitate using 'cereal' with R via 'cpp11' or 'Rcpp'. 'cereal' is a header-only C++11 serialization library. 'cereal' takes arbitrary data types and reversibly turns them into different representations, such as compact binary encodings, 'XML', or 'JSON'. 'cereal' was designed to be fast, light-weight, and easy to extend - it has no external dependencies and can be easily bundled with other code or used standalone. Please see <https://uscilab.github.io/cereal/> for more information.
Author: Wush Wu [aut, cre] , Randolph Voorhies [ctb], Shane Grant [ctb], Stephen Wade [ctb]
Maintainer: Wush Wu <wush978@gmail.com>

Diff between Rcereal versions 1.2.1.1 dated 2020-10-14 and 1.3.2 dated 2024-09-20

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Package prqlr updated to version 0.9.0 with previous version 0.8.1 dated 2024-05-19

Title: R Bindings for the 'prqlc' Rust Library
Description: Provides a function to convert 'PRQL' strings to 'SQL' strings. Combined with other R functions that take 'SQL' as an argument, 'PRQL' can be used on R.
Author: Tatsuya Shima [aut, cre], Authors of the dependency Rust crates [aut]
Maintainer: Tatsuya Shima <ts1s1andn@gmail.com>

Diff between prqlr versions 0.8.1 dated 2024-05-19 and 0.9.0 dated 2024-09-20

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Package orca updated to version 1.1-3 with previous version 1.1-2 dated 2023-12-13

Title: Computation of Graphlet Orbit Counts in Sparse Graphs
Description: Implements orbit counting using a fast combinatorial approach. Counts orbits of nodes and edges from edge matrix or data frame, or a graph object from the graph package.
Author: Tomaz Hocevar [aut, cre], Janez Demsar [aut]
Maintainer: Tomaz Hocevar <tomaz.hocevar@fri.uni-lj.si>

Diff between orca versions 1.1-2 dated 2023-12-13 and 1.1-3 dated 2024-09-20

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New package monolix2rx with initial version 0.0.1
Package: monolix2rx
Title: Converts 'Monolix' Models to 'rxode2'
Version: 0.0.1
Description: 'Monolix' is a tool for running mixed effects model using 'saem'. This tool allows you to convert 'Monolix' models to 'rxode2' (Wang, Hallow and James (2016) <doi:10.1002/psp4.12052>) using the form compatible with 'nlmixr2' (Fidler et al (2019) <doi:10.1002/psp4.12445>). The 'nlmixr2' syntax requires the residual specification to be included and it is not always translated. If available, the 'rxode2' model will read in the 'Monolix' data and compare the simulation for the population model individual model and residual model to immediately show how well the translation is performing. This saves the model development time for people who are creating an 'rxode2' model manually. Additionally, this package reads in all the information to allow simulation with uncertainty (that is the number of observations, the number of subjects, and the covariance matrix) with a 'rxode2' model. This is complementary to the 'babelmixr2' package that translates 'nlmixr2' models to 'Monolix' a [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: dparser, rxode2parse, Rcpp
Imports: Rcpp, checkmate, cli, dparser, withr, ggplot2, ggforce, stringi, crayon, lotri, magrittr, rxode2 (>= 3.0.0),
Suggests: devtools, testthat (>= 3.0.0), xgxr, vdiffr, lixoftConnectors
NeedsCompilation: yes
Packaged: 2024-09-19 15:31:55 UTC; matt
Author: Matthew Fidler [aut, cre] , Justin Wilkins [ctb]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-20 13:50:08 UTC

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Package HDclust updated to version 1.0.4 with previous version 1.0.3 dated 2019-04-11

Title: Clustering High Dimensional Data with Hidden Markov Model on Variable Blocks
Description: Clustering of high dimensional data with Hidden Markov Model on Variable Blocks (HMM-VB) fitted via Baum-Welch algorithm. Clustering is performed by the Modal Baum-Welch algorithm (MBW), which finds modes of the density function. Lin Lin and Jia Li (2017) <https://jmlr.org/papers/v18/16-342.html>.
Author: Yevhen Tupikov [aut], Lin Lin [aut], Lixiang Zhang [aut], Jia Li [aut, cre]
Maintainer: Jia Li <jiali@psu.edu>

Diff between HDclust versions 1.0.3 dated 2019-04-11 and 1.0.4 dated 2024-09-20

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New package groqR with initial version 0.0.1
Package: groqR
Title: A Coding Assistant using the Fast AI Inference 'Groq'
Version: 0.0.1
Maintainer: Gabriel Kaiser <quantresearch.gk@gmail.com>
Description: A comprehensive suite of functions and 'RStudio' Add-ins leveraging the capabilities of open-source Large Language Models (LLMs) to support R developers. These functions offer a range of utilities, including text rewriting, translation, and general query capabilities. Additionally, the programming-focused functions provide assistance with debugging, translating, commenting, documenting, and unit testing code, as well as suggesting variable and function names, thereby streamlining the development process.
License: GPL (>= 3)
URL: https://github.com/GabrielKaiserQFin/groqR
BugReports: https://github.com/GabrielKaiserQFin/groqR/issues
Imports: clipr, httr, jsonlite, miniUI, rstudioapi, shiny, shinyWidgets, utils
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-09-19 14:14:04 UTC; Gabriel
Author: Gabriel Kaiser [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-20 13:50:12 UTC

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New package eratosthenes with initial version 0.0.2
Package: eratosthenes
Title: Archaeological Synchronism
Version: 0.0.2
Description: Estimates unknown historical or archaeological dates subject to relationships with other dates and absolute constraints, derived as marginal densities from the full joint conditional distribution. Includes rule-based estimation of the production dates of artifact types. Collins-Elliott (2024) <https://volweb.utk.edu/~scolli46/sceGUTChronology.pdf>.
License: GPL (>= 3)
Imports: Rcpp, Rdpack
Encoding: UTF-8
LinkingTo: Rcpp
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-09-19 16:53:47 UTC; tennessee10
Author: Stephen A. Collins-Elliott [aut, cre]
Maintainer: Stephen A. Collins-Elliott <sce@utk.edu>
Repository: CRAN
Date/Publication: 2024-09-20 14:00:09 UTC

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Package eha updated to version 2.11.5 with previous version 2.11.4 dated 2024-03-08

Title: Event History Analysis
Description: Parametric proportional hazards fitting with left truncation and right censoring for common families of distributions, piecewise constant hazards, and discrete models. Parametric accelerated failure time models for left truncated and right censored data. Proportional hazards models for tabular and register data. Sampling of risk sets in Cox regression, selections in the Lexis diagram, bootstrapping. Broström (2022) <doi:10.1201/9780429503764>.
Author: Goeran Brostroem [aut, cre], Jianming Jin [ctb]
Maintainer: Goeran Brostroem <goran.brostrom@umu.se>

Diff between eha versions 2.11.4 dated 2024-03-08 and 2.11.5 dated 2024-09-20

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New package bnRep with initial version 0.0.1
Package: bnRep
Title: A Repository of Bayesian Networks from the Academic Literature
Version: 0.0.1
Description: A collection of Bayesian networks (discrete, Gaussian, and conditional linear Gaussian) collated from recent academic literature. The 'bnRep_summary' object provides an overview of the Bayesian networks in the repository and the package documentation includes details about the variables in each network. A Shiny app to explore the repository can be launched with 'bnRep_app()'. For details see <https://github.com/manueleleonelli/bnRep>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: bnlearn, dplyr, DT, qgraph,shiny, shinyjs, shinythemes
URL: https://github.com/manueleleonelli/bnRep
BugReports: https://github.com/manueleleonelli/bnRep/issues
Depends: R (>= 2.10)
Suggests: knitr, rmarkdown, ggplot2, scales, stringr, RColorBrewer
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-19 13:55:15 UTC; manueleleonelli
Author: Manuele Leonelli [aut, cre, cph]
Maintainer: Manuele Leonelli <manuele.leonelli@ie.edu>
Repository: CRAN
Date/Publication: 2024-09-20 13:40:05 UTC

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Package TCHazaRds updated to version 1.1.2 with previous version 1.1.1 dated 2024-09-06

Title: Tropical Cyclone (Hurricane, Typhoon) Spatial Hazard Modelling
Description: Methods for generating modelled parametric Tropical Cyclone (TC) spatial hazard fields and time series output at point locations from TC tracks. R's compatibility to simply use fast 'cpp' code via the 'Rcpp' package and the wide range spatial analysis tools via the 'terra' package makes it an attractive open source environment to study 'TCs'. This package estimates TC vortex wind and pressure fields using parametric equations originally coded up in 'python' by 'TCRM' <https://github.com/GeoscienceAustralia/tcrm> and then coded up in 'Cuda' 'cpp' by 'TCwindgen' <https://github.com/CyprienBosserelle/TCwindgen>.
Author: Julian O'Grady [aut, cre]
Maintainer: Julian O'Grady <julian.ogrady@csiro.au>

Diff between TCHazaRds versions 1.1.1 dated 2024-09-06 and 1.1.2 dated 2024-09-20

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Package SIMplyBee updated to version 0.4.1 with previous version 0.4.0 dated 2024-08-26

Title: 'AlphaSimR' Extension for Simulating Honeybee Populations and Breeding Programmes
Description: An extension of the 'AlphaSimR' package (<https://cran.r-project.org/package=AlphaSimR>) for stochastic simulations of honeybee populations and breeding programmes. 'SIMplyBee' enables simulation of individual bees that form a colony, which includes a queen, fathers (drones the queen mated with), virgin queens, workers, and drones. Multiple colony can be merged into a population of colonies, such as an apiary or a whole country of colonies. Functions enable operations on castes, colony, or colonies, to ease 'R' scripting of whole populations. All 'AlphaSimR' functionality with respect to genomes and genetic and phenotype values is available and further extended for honeybees, including haplo-diploidy, complementary sex determiner locus, colony events (swarming, supersedure, etc.), and colony phenotype values.
Author: Jana Obsteter [aut, cre] , Laura Strachan [aut] , Jernej Bubnic [aut] , Gregor Gorjanc [aut]
Maintainer: Jana Obsteter <obsteter.jana@gmail.com>

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Package sentopics updated to version 0.7.4 with previous version 0.7.3 dated 2024-04-18

Title: Tools for Joint Sentiment and Topic Analysis of Textual Data
Description: A framework that joins topic modeling and sentiment analysis of textual data. The package implements a fast Gibbs sampling estimation of Latent Dirichlet Allocation (Griffiths and Steyvers (2004) <doi:10.1073/pnas.0307752101>) and Joint Sentiment/Topic Model (Lin, He, Everson and Ruger (2012) <doi:10.1109/TKDE.2011.48>). It offers a variety of helpers and visualizations to analyze the result of topic modeling. The framework also allows enriching topic models with dates and externally computed sentiment measures. A flexible aggregation scheme enables the creation of time series of sentiment or topical proportions from the enriched topic models. Moreover, a novel method jointly aggregates topic proportions and sentiment measures to derive time series of topical sentiment.
Author: Olivier Delmarcelle [aut, cre] , Samuel Borms [ctb] , Chengua Lin [cph] , Yulan He [cph] , Jose Bernardo [cph] , David Robinson [cph] ), Julia Silge [cph] , <https://orcid.org/0000-0002-3671-836X>)
Maintainer: Olivier Delmarcelle <delmarcelle.olivier@gmail.com>

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Package roxytypes updated to version 0.1.1 with previous version 0.1.0 dated 2024-02-29

Title: Typed Parameter Tags for Integration with 'roxygen2'
Description: Provides typed parameter documentation tags for integration with 'roxygen2'. Typed parameter tags provide a consistent interface for annotating expected types for parameters and returned values. Tools for converting from existing styles are also provided to easily adapt projects which implement typed documentation by convention rather than tag. Use the default format or provide your own.
Author: Doug Kelkhoff [aut, cre]
Maintainer: Doug Kelkhoff <doug.kelkhoff@gmail.com>

Diff between roxytypes versions 0.1.0 dated 2024-02-29 and 0.1.1 dated 2024-09-20

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Package rCNV updated to version 1.3.0 with previous version 1.2.0 dated 2023-08-08

Title: Detect Copy Number Variants from SNPs Data
Description: Functions in this package will import filtered variant call format (VCF) files of SNPs data and generate data sets to detect copy number variants, visualize them and do downstream analyses with copy number variants(e.g. Environmental association analyses).
Author: Piyal Karunarathne [aut, cre] , Qiujie Zhou [aut] , Klaus Schliep [aut] , Pascal Milesi [aut]
Maintainer: Piyal Karunarathne <piyalkarumail@yahoo.com>

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Package rarestR updated to version 1.0.3 with previous version 1.0.0 dated 2024-03-20

Title: Rarefaction-Based Species Richness Estimator
Description: Calculate rarefaction-based alpha- and beta-diversity. Offer parametric extrapolation to estimate the total expected species in a single community and the total expected shared species between two communities. Visualize the curve-fitting for these estimators.
Author: Peng Zhao [aut, cre] , Yi Zou [aut]
Maintainer: Peng Zhao <pengzhao20@outlook.com>

Diff between rarestR versions 1.0.0 dated 2024-03-20 and 1.0.3 dated 2024-09-20

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Package openxlsx updated to version 4.2.7.1 with previous version 4.2.7 dated 2024-08-30

Title: Read, Write and Edit xlsx Files
Description: Simplifies the creation of Excel .xlsx files by providing a high level interface to writing, styling and editing worksheets. Through the use of 'Rcpp', read/write times are comparable to the 'xlsx' and 'XLConnect' packages with the added benefit of removing the dependency on Java.
Author: Philipp Schauberger [aut], Alexander Walker [aut], Luca Braglia [ctb], Joshua Sturm [ctb], Jan Marvin Garbuszus [ctb, cre], Jordan Mark Barbone [ctb] , David Zimmermann [ctb], Reinhold Kainhofer [ctb]
Maintainer: Jan Marvin Garbuszus <jan.garbuszus@ruhr-uni-bochum.de>

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Package numbat updated to version 1.4.2 with previous version 1.4.0 dated 2024-02-23

Title: Haplotype-Aware CNV Analysis from scRNA-Seq
Description: A computational method that infers copy number variations (CNVs) in cancer scRNA-seq data and reconstructs the tumor phylogeny. 'numbat' integrates signals from gene expression, allelic ratio, and population haplotype structures to accurately infer allele-specific CNVs in single cells and reconstruct their lineage relationship. 'numbat' can be used to: 1. detect allele-specific copy number variations from single-cells; 2. differentiate tumor versus normal cells in the tumor microenvironment; 3. infer the clonal architecture and evolutionary history of profiled tumors. 'numbat' does not require tumor/normal-paired DNA or genotype data, but operates solely on the donor scRNA-data data (for example, 10x Cell Ranger output). Additional examples and documentations are available at <https://kharchenkolab.github.io/numbat/>. For details on the method please see Gao et al. Nature Biotechnology (2022) <doi:10.1038/s41587-022-01468-y>.
Author: Teng Gao [cre, aut], Ruslan Soldatov [aut], Hirak Sarkar [aut], Evan Biederstedt [aut], Peter Kharchenko [aut]
Maintainer: Teng Gao <tgaoteng@gmail.com>

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Package naaccr updated to version 3.1.0 with previous version 3.0.1 dated 2024-09-12

Title: Read Cancer Records in the NAACCR Format
Description: Functions for reading cancer record files which follow a format defined by the North American Association of Central Cancer Registries (NAACCR).
Author: Nathan Werth [aut, cre], Pennsylvania Department of Health [cph], North American Association of Cancer Registries [cph], World Health Organization [cph], United States Centers for Disease Control and Prevention [cph], United States Bureau of the Cens [...truncated...]
Maintainer: Nathan Werth <nwerth@pa.gov>

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Package GLMcat updated to version 0.2.7 with previous version 0.2.6 dated 2024-01-17

Title: Generalized Linear Models for Categorical Responses
Description: In statistical modeling, there is a wide variety of regression models for categorical dependent variables (nominal or ordinal data); yet, there is no software embracing all these models together in a uniform and generalized format. Following the methodology proposed by Peyhardi, Trottier, and Guédon (2015) <doi:10.1093/biomet/asv042>, we introduce 'GLMcat', an R package to estimate generalized linear models implemented under the unified specification (r, F, Z). Where r represents the ratio of probabilities (reference, cumulative, adjacent, or sequential), F the cumulative cdf function for the linkage, and Z, the design matrix.
Author: Lorena Leon [aut, cre], Jean Peyhardi [aut], Catherine Trottier [aut]
Maintainer: Lorena Leon <ylorenaleonv@gmail.com>

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Package formods updated to version 0.1.7 with previous version 0.1.6 dated 2024-05-24

Title: 'Shiny' Modules for General Tasks
Description: 'Shiny' apps can often make use of the same key elements, this package provides modules for common tasks (data upload, wrangling data, figure generation and saving the app state), and also a framework for developing. These modules can react and interact as well as generate code to create reproducible analyses.
Author: John Harrold [aut, cre]
Maintainer: John Harrold <john.m.harrold@gmail.com>

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Package ecmwfr updated to version 2.0.1 with previous version 2.0.0 dated 2024-08-28

Title: Interface to 'ECMWF' and 'CDS' Data Web Services
Description: Programmatic interface to the European Centre for Medium-Range Weather Forecasts dataset web services (ECMWF; <https://www.ecmwf.int/>) and Copernicus's Data Stores. Allows for easy downloads of weather forecasts and climate reanalysis data in R. Data stores covered include the Climate Data Store (CDS; <https://cds-beta.climate.copernicus.eu>), Atmosphere Data Store (ADS; <https://ads-beta.atmosphere.copernicus.eu>) and Early Warning Data Store (CEMS; <https://ewds-beta.climate.copernicus.eu>).
Author: Koen Hufkens [aut, cre, cph] , Reto Stauffer [ctb] , Elio Campitelli [ctb] , BlueGreen Labs [fnd]
Maintainer: Koen Hufkens <koen.hufkens@gmail.com>

Diff between ecmwfr versions 2.0.0 dated 2024-08-28 and 2.0.1 dated 2024-09-20

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Package comtradr updated to version 1.0.2 with previous version 1.0.1 dated 2024-05-24

Title: Interface with the United Nations Comtrade API
Description: Interface with and extract data from the United Nations 'Comtrade' API <https://comtradeplus.un.org/>. 'Comtrade' provides country level shipping data for a variety of commodities, these functions allow for easy API query and data returned as a tidy data frame.
Author: Paul Bochtler [aut, cre, cph] , Harriet Goers [aut], Chris Muir [aut], Alicia Schep [rev] , Rafael Hellwig [rev] , Ernest Guevarra [rev] , Nicholas Potter [rev] , Juergen Amann [ctb]
Maintainer: Paul Bochtler <paulbochtler.gh@gmail.com>

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Package censobr updated to version 0.4.0 with previous version 0.3.2 dated 2024-03-23

Title: Download Data from Brazil's Population Census
Description: Easy access to data from Brazil's population censuses. The package provides a simple and efficient way to download and read the data sets and the documentation of all the population censuses taken in and after 1960 in the country. The package is built on top of the 'Arrow' platform <https://arrow.apache.org/docs/r/>, which allows users to work with larger-than-memory census data using 'dplyr' familiar functions. <https://arrow.apache.org/docs/r/articles/arrow.html#analyzing-arrow-data-with-dplyr>.
Author: Rafael H. M. Pereira [aut, cre] , Rogerio J. Barbosa [aut] , Diego Rabatone Oliveira [ctb], Neal Richardson [ctb], Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

Diff between censobr versions 0.3.2 dated 2024-03-23 and 0.4.0 dated 2024-09-20

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Package bnmonitor updated to version 0.2.1 with previous version 0.2.0 dated 2024-07-13

Title: An Implementation of Sensitivity Analysis in Bayesian Networks
Description: An implementation of sensitivity and robustness methods in Bayesian networks in R. It includes methods to perform parameter variations via a variety of co-variation schemes, to compute sensitivity functions and to quantify the dissimilarity of two Bayesian networks via distances and divergences. It further includes diagnostic methods to assess the goodness of fit of a Bayesian networks to data, including global, node and parent-child monitors. Reference: M. Leonelli, R. Ramanathan, R.L. Wilkerson (2022) <doi:10.1016/j.knosys.2023.110882>.
Author: Manuele Leonelli [aut, cre], Ramsiya Ramanathan [aut], Rachel Wilkerson [aut]
Maintainer: Manuele Leonelli <manuele.leonelli@ie.edu>

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Package BioM2 updated to version 1.1.0 with previous version 1.0.10 dated 2024-08-20

Title: Biologically Explainable Machine Learning Framework
Description: Biologically Explainable Machine Learning Framework for Phenotype Prediction using omics data described in Chen and Schwarz (2017) <doi:10.48550/arXiv.1712.00336>.Identifying reproducible and interpretable biological patterns from high-dimensional omics data is a critical factor in understanding the risk mechanism of complex disease. As such, explainable machine learning can offer biological insight in addition to personalized risk scoring.In this process, a feature space of biological pathways will be generated, and the feature space can also be subsequently analyzed using WGCNA (Described in Horvath and Zhang (2005) <doi:10.2202/1544-6115.1128> and Langfelder and Horvath (2008) <doi:10.1186/1471-2105-9-559> ) methods.
Author: Shunjie Zhang [aut, cre], Junfang Chen [aut]
Maintainer: Shunjie Zhang <zhang.shunjie@qq.com>

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Package UKFE updated to version 0.3.7 with previous version 0.3.6 dated 2024-09-10

Title: UK Flood Estimation
Description: Functions to implement the methods of the Flood Estimation Handbook (FEH), associated updates and the revitalised flood hydrograph model (ReFH). Currently the package uses NRFA peak flow dataset version 13. Aside from FEH functionality, further hydrological functions are available. Most of the methods implemented in this package are described in one or more of the following: "Flood Estimation Handbook", Centre for Ecology & Hydrology (1999, ISBN:0 948540 94 X). "Flood Estimation Handbook Supplementary Report No. 1", Kjeldsen (2007, ISBN:0 903741 15 7). "Regional Frequency Analysis - an approach based on L-moments", Hosking & Wallis (1997, ISBN: 978 0 521 01940 8). "Proposal of the extreme rank plot for extreme value analysis: with an emphasis on flood frequency studies", Hammond (2019, <doi:10.2166/nh.2019.157>). "Making better use of local data in flood frequency estimation", Environment Agency (2017, ISBN: 978 1 84911 387 8). "Sampling uncertainty of UK design flood est [...truncated...]
Author: Anthony Hammond [aut, cre]
Maintainer: Anthony Hammond <agqhammond@gmail.com>

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Package table.glue updated to version 0.0.4 with previous version 0.0.3 dated 2023-02-07

Title: Make and Apply Customized Rounding Specifications for Tables
Description: Translate double and integer valued data into character values formatted for tabulation in manuscripts or other types of academic reports.
Author: Byron Jaeger [aut, cre]
Maintainer: Byron Jaeger <bjaeger@wakehealth.edu>

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Package rhino updated to version 1.10.1 with previous version 1.10.0 dated 2024-09-10

Title: A Framework for Enterprise Shiny Applications
Description: A framework that supports creating and extending enterprise Shiny applications using best practices.
Author: Kamil Zyla [aut, cre], Jakub Nowicki [aut], Leszek Sieminski [aut], Marek Rogala [aut], Recle Vibal [aut], Tymoteusz Makowski [aut], Rodrigo Basa [aut], Eduardo Almeida [ctb], Appsilon Sp. z o.o. [cph]
Maintainer: Kamil Zyla <opensource+kamil@appsilon.com>

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Package REDCapExporter updated to version 0.3.0 with previous version 0.2.2 dated 2021-02-02

Title: Automated Construction of R Data Packages from REDCap Projects
Description: Export all data, including metadata, from a REDCap (Research Electronic Data Capture) Project via the REDCap API <https://projectredcap.org/wp-content/resources/REDCapTechnicalOverview.pdf>. The exported (meta)data will be processed and formatted into a stand alone R data package which can be installed and shared between researchers. Several default reports are generated as vignettes in the resulting package.
Author: Peter DeWitt [aut, cre]
Maintainer: Peter DeWitt <peter.dewitt@cuanschutz.edu>

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Package Qval updated to version 1.0.0 with previous version 0.1.7 dated 2024-07-21

Title: The Q-Matrix Validation Methods Framework
Description: Provide a variety of Q-matrix validation methods for the generalized cognitive diagnosis models, including the method based on the generalized deterministic input, noisy, and gate model (G-DINA) by de la Torre (2011) <DOI:10.1007/s11336-011-9207-7> discrimination index (the GDI method) by de la Torre and Chiu (2016) <DOI:10.1007/s11336-015-9467-8>, the step-wise Wald test method (the Wald method) by Ma and de la Torre (2020) <DOI:10.1111/bmsp.12156>, the Hull method by Najera et al. (2021) <DOI:10.1111/bmsp.12228>, the multiple logistic regression‑based Q‑matrix validation method (the MLR-B method) by Tu et al. (2022) <DOI:10.3758/s13428-022-01880-x>. Different research methods during Q-matrix validating are available.
Author: Haijiang Qin [aut, cre, cph], Lei Guo [aut, cph]
Maintainer: Haijiang Qin <haijiang133@outlook.com>

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Package profvis updated to version 0.4.0 with previous version 0.3.8 dated 2023-05-02

Title: Interactive Visualizations for Profiling R Code
Description: Interactive visualizations for profiling R code.
Author: Hadley Wickham [aut, cre], Winston Chang [aut], Javier Luraschi [aut], Timothy Mastny [aut], Posit Software, PBC [cph, fnd], jQuery Foundation [cph] , jQuery contributors [ctb, cph] , Mike Bostock [ctb, cph] , D3 contributors [ctb] , Ivan Sagalaev [c [...truncated...]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package mlt.docreg updated to version 1.1-9 with previous version 1.1-8 dated 2024-04-29

Title: Most Likely Transformations: Documentation and Regression Tests
Description: Additional documentation, a package vignette and regression tests for package mlt.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package jsmodule updated to version 1.5.8 with previous version 1.5.7 dated 2024-08-20

Title: 'RStudio' Addins and 'Shiny' Modules for Medical Research
Description: 'RStudio' addins and 'Shiny' modules for descriptive statistics, regression and survival analysis.
Author: Jinseob Kim [aut, cre] , Zarathu [cph, fnd], Hyunki Lee [aut], Changwoo Lim [aut], Jinhwan Kim [aut] , Yoonkyoung Jeon [aut], Jaewoong Heo [aut], Youngsun Park [aut]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package ECOTOXr updated to version 1.1.1 with previous version 1.0.9 dated 2024-01-08

Title: Download and Extract Data from US EPA's ECOTOX Database
Description: The US EPA ECOTOX database is a freely available database with a treasure of aquatic and terrestrial ecotoxicological data. As the online search interface doesn't come with an API, this package provides the means to easily access and search the database in R. To this end, all raw tables are downloaded from the EPA website and stored in a local SQLite database <doi:10.1016/j.chemosphere.2024.143078>.
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

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 14 files changed, 170 insertions(+), 136 deletions(-)

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Package curl updated to version 5.2.3 with previous version 5.2.2 dated 2024-08-26

Title: A Modern and Flexible Web Client for R
Description: The curl() and curl_download() functions provide highly configurable drop-in replacements for base url() and download.file() with better performance, support for encryption (https, ftps), gzip compression, authentication, and other 'libcurl' goodies. The core of the package implements a framework for performing fully customized requests where data can be processed either in memory, on disk, or streaming via the callback or connection interfaces. Some knowledge of 'libcurl' is recommended; for a more-user-friendly web client see the 'httr' package which builds on this package with http specific tools and logic.
Author: Jeroen Ooms [aut, cre] , Hadley Wickham [ctb], RStudio [cph]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between curl versions 5.2.2 dated 2024-08-26 and 5.2.3 dated 2024-09-20

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 curl-5.2.3/curl/NEWS                   |    4 +
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 curl-5.2.3/curl/inst/doc/windows.html  |   14 ++--
 7 files changed, 73 insertions(+), 71 deletions(-)

More information about curl at CRAN
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Package comets updated to version 0.0-3 with previous version 0.0-2 dated 2024-07-05

Title: Covariance Measure Tests for Conditional Independence
Description: Covariance measure tests for conditional independence testing against conditional covariance and nonlinear conditional mean alternatives. Contains versions of the generalised covariance measure test (Shah and Peters, 2020, <doi:10.1214/19-aos1857>) and projected covariance measure test (Lundborg et al., 2023, <doi:10.48550/arXiv.2211.02039>). Applications can be found in Kook and Lundborg (2024, <doi:10.1093/bib/bbae475>).
Author: Lucas Kook [aut, cre], Anton Rask Lundborg [ctb]
Maintainer: Lucas Kook <lucasheinrich.kook@gmail.com>

Diff between comets versions 0.0-2 dated 2024-07-05 and 0.0-3 dated 2024-09-20

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Package rsvg updated to version 2.6.1 with previous version 2.6.0 dated 2023-10-08

Title: Render SVG Images into PDF, PNG, (Encapsulated) PostScript, or Bitmap Arrays
Description: Renders vector-based svg images into high-quality custom-size bitmap arrays using 'librsvg2'. The resulting bitmap can be written to e.g. png, jpeg or webp format. In addition, the package can convert images directly to various formats such as pdf or postscript.
Author: Jeroen Ooms [aut, cre] , Salim Brueggemann [ctb]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between rsvg versions 2.6.0 dated 2023-10-08 and 2.6.1 dated 2024-09-20

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More information about rsvg at CRAN
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Package ream updated to version 1.0-4 with previous version 1.0-3 dated 2024-09-17

Title: Density, Distribution, and Sampling Functions for Evidence Accumulation Models
Description: Calculate the probability density functions (PDFs) for two threshold evidence accumulation models (EAMs). These are defined using the following Stochastic Differential Equation (SDE), dx(t) = v(x(t),t)*dt+D(x(t),t)*dW, where x(t) is the accumulated evidence at time t, v(x(t),t) is the drift rate, D(x(t),t) is the noise scale, and W is the standard Wiener process. The boundary conditions of this process are the upper and lower decision thresholds, represented by b_u(t) and b_l(t), respectively. Upper threshold b_u(t) > 0, while lower threshold b_l(t) < 0. The initial condition of this process x(0) = z where b_l(t) < z < b_u(t). We represent this as the relative start point w = z/(b_u(0)-b_l(0)), defined as a ratio of the initial threshold location. This package generates the PDF using the same approach as the 'python' package it is based upon, 'PyBEAM' by Murrow and Holmes (2023) <doi:10.3758/s13428-023-02162-w>. First, it converts the SDE model into the forwards Fokke [...truncated...]
Author: Raphael Hartmann [aut, cre] , Matthew Murrow [aut]
Maintainer: Raphael Hartmann <raphael.hartmann@protonmail.com>

Diff between ream versions 1.0-3 dated 2024-09-17 and 1.0-4 dated 2024-09-20

 DESCRIPTION            |    6 +++---
 MD5                    |    6 +++---
 inst/doc/guidline.html |    4 ++--
 src/R_wrapper.cpp      |   47 +++++++++++++++++++++++++----------------------
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Package omock updated to version 0.3.0 with previous version 0.2.0 dated 2024-05-20

Title: Creation of Mock Observational Medical Outcomes Partnership Common Data Model
Description: Creates mock data for testing and package development for the Observational Medical Outcomes Partnership common data model. The package offers functions crafted with pipeline-friendly implementation, enabling users to effortlessly include only the necessary tables for their testing needs.
Author: Mike Du [aut, cre] , Marti Catala [aut] , Edward Burn [aut] , Nuria Mercade-Besora [aut] , Xihang Chen [aut]
Maintainer: Mike Du <mike.du@ndorms.ox.ac.uk>

Diff between omock versions 0.2.0 dated 2024-05-20 and 0.3.0 dated 2024-09-20

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Package fImport updated to version 4041.88 with previous version 4032.87 dated 2023-12-15

Title: Rmetrics - Importing Economic and Financial Data
Description: Provides a collection of utility functions to download and manage data sets from the Internet or from other sources.
Author: Diethelm Wuertz [aut] , Tobias Setz [aut], Yohan Chalabi [aut], Georgi N. Boshnakov [cre, aut]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

Diff between fImport versions 4032.87 dated 2023-12-15 and 4041.88 dated 2024-09-20

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Package DemoDecomp updated to version 1.14.1 with previous version 1.0.1 dated 2018-08-14

Title: Decompose Demographic Functions
Description: Three general demographic decomposition methods: Pseudo-continuous decomposition proposed by Horiuchi, Wilmoth, and Pletcher (2008) <doi:10.1353/dem.0.0033>, stepwise replacement decomposition proposed by Andreev, Shkolnikov and Begun (2002) <doi:10.4054/DemRes.2002.7.14>, and lifetable response experiments proposed by Caswell (1989) <doi:10.1016/0304-3800(89)90019-7>.
Author: Tim Riffe [aut, cre]
Maintainer: Tim Riffe <tim.riffe@gmail.com>

Diff between DemoDecomp versions 1.0.1 dated 2018-08-14 and 1.14.1 dated 2024-09-20

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Package V8 updated to version 5.0.1 with previous version 5.0.0 dated 2024-08-16

Title: Embedded JavaScript and WebAssembly Engine for R
Description: An R interface to V8 <https://v8.dev>: Google's open source JavaScript and WebAssembly engine. This package can be compiled either with V8 version 6 and up or NodeJS when built as a shared library.
Author: Jeroen Ooms [aut, cre] , Jan Marvin Garbuszus [ctb]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between V8 versions 5.0.0 dated 2024-08-16 and 5.0.1 dated 2024-09-20

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Package starnet updated to version 0.0.7 with previous version 0.0.6 dated 2020-11-24

Title: Stacked Elastic Net
Description: Implements stacked elastic net regression (Rauschenberger 2021, <doi:10.1093/bioinformatics/btaa535>). The elastic net generalises ridge and lasso regularisation (Zou 2005, <doi:10.1111/j.1467-9868.2005.00503.x>). Instead of fixing or tuning the mixing parameter alpha, we combine multiple alpha by stacked generalisation (Wolpert 1992 <doi:10.1016/S0893-6080(05)80023-1>).
Author: Armin Rauschenberger [aut, cre]
Maintainer: Armin Rauschenberger <armin.rauschenberger@uni.lu>

Diff between starnet versions 0.0.6 dated 2020-11-24 and 0.0.7 dated 2024-09-20

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Package pdftools updated to version 3.4.1 with previous version 3.4.0 dated 2023-09-25

Title: Text Extraction, Rendering and Converting of PDF Documents
Description: Utilities based on 'libpoppler' for extracting text, fonts, attachments and metadata from a PDF file. Also supports high quality rendering of PDF documents into PNG, JPEG, TIFF format, or into raw bitmap vectors for further processing in R.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between pdftools versions 3.4.0 dated 2023-09-25 and 3.4.1 dated 2024-09-20

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Package openssl updated to version 2.2.2 with previous version 2.2.1 dated 2024-08-16

Title: Toolkit for Encryption, Signatures and Certificates Based on OpenSSL
Description: Bindings to OpenSSL libssl and libcrypto, plus custom SSH key parsers. Supports RSA, DSA and EC curves P-256, P-384, P-521, and curve25519. Cryptographic signatures can either be created and verified manually or via x509 certificates. AES can be used in cbc, ctr or gcm mode for symmetric encryption; RSA for asymmetric (public key) encryption or EC for Diffie Hellman. High-level envelope functions combine RSA and AES for encrypting arbitrary sized data. Other utilities include key generators, hash functions (md5, sha1, sha256, etc), base64 encoder, a secure random number generator, and 'bignum' math methods for manually performing crypto calculations on large multibyte integers.
Author: Jeroen Ooms [aut, cre] , Oliver Keyes [ctb]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between openssl versions 2.2.1 dated 2024-08-16 and 2.2.2 dated 2024-09-20

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Package magick updated to version 2.8.5 with previous version 2.8.4 dated 2024-07-14

Title: Advanced Graphics and Image-Processing in R
Description: Bindings to 'ImageMagick': the most comprehensive open-source image processing library available. Supports many common formats (png, jpeg, tiff, pdf, etc) and manipulations (rotate, scale, crop, trim, flip, blur, etc). All operations are vectorized via the Magick++ STL meaning they operate either on a single frame or a series of frames for working with layers, collages, or animation. In RStudio images are automatically previewed when printed to the console, resulting in an interactive editing environment. The latest version of the package includes a native graphics device for creating in-memory graphics or drawing onto images using pixel coordinates.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between magick versions 2.8.4 dated 2024-07-14 and 2.8.5 dated 2024-09-20

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Package jsonlite updated to version 1.8.9 with previous version 1.8.8 dated 2023-12-04

Title: A Simple and Robust JSON Parser and Generator for R
Description: A reasonably fast JSON parser and generator, optimized for statistical data and the web. Offers simple, flexible tools for working with JSON in R, and is particularly powerful for building pipelines and interacting with a web API. The implementation is based on the mapping described in the vignette (Ooms, 2014). In addition to converting JSON data from/to R objects, 'jsonlite' contains functions to stream, validate, and prettify JSON data. The unit tests included with the package verify that all edge cases are encoded and decoded consistently for use with dynamic data in systems and applications.
Author: Jeroen Ooms [aut, cre] , Duncan Temple Lang [ctb], Lloyd Hilaiel [cph]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between jsonlite versions 1.8.8 dated 2023-12-04 and 1.8.9 dated 2024-09-20

 DESCRIPTION                     |   10 +++++-----
 MD5                             |   12 ++++++------
 NEWS                            |    4 ++++
 build/vignette.rds              |binary
 inst/doc/json-aaquickstart.html |   10 +++++-----
 inst/doc/json-mapping.pdf       |binary
 src/r-base64.c                  |    1 +
 7 files changed, 21 insertions(+), 16 deletions(-)

More information about jsonlite at CRAN
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Package gpg updated to version 1.3.0 with previous version 1.2.9 dated 2023-05-18

Title: GNU Privacy Guard for R
Description: Bindings to GnuPG for working with OpenGPG (RFC4880) cryptographic methods. Includes utilities for public key encryption, creating and verifying digital signatures, and managing your local keyring. Some functionality depends on the version of GnuPG that is installed on the system. On Windows this package can be used together with 'GPG4Win' which provides a GUI for managing keys and entering passphrases.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between gpg versions 1.2.9 dated 2023-05-18 and 1.3.0 dated 2024-09-20

 gpg-1.2.9/gpg/tests               |only
 gpg-1.3.0/gpg/DESCRIPTION         |   10 +++++-----
 gpg-1.3.0/gpg/MD5                 |   24 +++++++++++-------------
 gpg-1.3.0/gpg/NEWS                |    4 ++++
 gpg-1.3.0/gpg/build/vignette.rds  |binary
 gpg-1.3.0/gpg/cleanup             |    1 +
 gpg-1.3.0/gpg/configure           |    2 +-
 gpg-1.3.0/gpg/inst/doc/intro.html |   16 +++++-----------
 gpg-1.3.0/gpg/src/common.h        |    2 +-
 gpg-1.3.0/gpg/src/encrypt.c       |    2 +-
 gpg-1.3.0/gpg/src/keys.c          |    4 ++--
 gpg-1.3.0/gpg/src/keysig.c        |    2 +-
 gpg-1.3.0/gpg/src/sign.c          |    2 +-
 13 files changed, 33 insertions(+), 36 deletions(-)

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Package gert updated to version 2.1.2 with previous version 2.1.1 dated 2024-08-16

Title: Simple Git Client for R
Description: Simple git client for R based on 'libgit2' <https://libgit2.org> with support for SSH and HTTPS remotes. All functions in 'gert' use basic R data types (such as vectors and data-frames) for their arguments and return values. User credentials are shared with command line 'git' through the git-credential store and ssh keys stored on disk or ssh-agent.
Author: Jeroen Ooms [aut, cre] , Jennifer Bryan [ctb]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between gert versions 2.1.1 dated 2024-08-16 and 2.1.2 dated 2024-09-20

 gert-2.1.1/gert/tests/libgit2.R         |only
 gert-2.1.1/gert/tests/libgit2.Rout.save |only
 gert-2.1.2/gert/DESCRIPTION             |   16 ++++++++--------
 gert-2.1.2/gert/MD5                     |   18 ++++++++----------
 gert-2.1.2/gert/NEWS                    |    4 ++++
 gert-2.1.2/gert/R/credentials.R         |    4 +++-
 gert-2.1.2/gert/R/rebase.R              |    6 +++---
 gert-2.1.2/gert/cleanup                 |    1 +
 gert-2.1.2/gert/inst/doc/gert.html      |   12 ++++++------
 gert-2.1.2/gert/man/gert-package.Rd     |    6 +++---
 gert-2.1.2/gert/man/git_reset.Rd        |    6 +++---
 11 files changed, 39 insertions(+), 34 deletions(-)

More information about gert at CRAN
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