Wed, 19 Feb 2025

Package nlmixr2 updated to version 3.0.2 with previous version 3.0.1 dated 2024-10-28

Title: Nonlinear Mixed Effects Models in Population PK/PD
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Author: Matthew Fidler [aut, cre] , Anne Keunecke [ctb], Rik Schoemaker [ctb] , Justin Wilkins [ctb] , Wenping Wang [ctb], Mirjam Trame [ctb], John Harrold [ctb], Bill Denney [ctb] , Theodoros Papathanasiou [ctb], Richard Hooijmaijers [ctb]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between nlmixr2 versions 3.0.1 dated 2024-10-28 and 3.0.2 dated 2025-02-19

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Package easycensus updated to version 1.1.3 with previous version 1.1.1 dated 2023-03-20

Title: Quickly Find, Extract, and Marginalize U.S. Census Tables
Description: Extracting desired data using the proper Census variable names can be time-consuming. This package takes the pain out of that process by providing functions to quickly locate variables and download labeled tables from the Census APIs (<https://www.census.gov/data/developers/data-sets.html>).
Author: Cory McCartan [aut, cre]
Maintainer: Cory McCartan <mccartan@psu.edu>

Diff between easycensus versions 1.1.1 dated 2023-03-20 and 1.1.3 dated 2025-02-19

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More information about easycensus at CRAN
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Package vistla updated to version 2.1.1 with previous version 2.1.0 dated 2025-02-06

Title: Detecting Influence Paths with Information Theory
Description: Traces information spread through interactions between features, utilising information theory measures and a higher-order generalisation of the concept of widest paths in graphs. In particular, 'vistla' can be used to better understand the results of high-throughput biomedical experiments, by organising the effects of the investigated intervention in a tree-like hierarchy from direct to indirect ones, following the plausible information relay circuits. Due to its higher-order nature, 'vistla' can handle multi-modality and assign multiple roles to a single feature.
Author: Miron B. Kursa [aut, cre]
Maintainer: Miron B. Kursa <m@mbq.me>

Diff between vistla versions 2.1.0 dated 2025-02-06 and 2.1.1 dated 2025-02-19

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More information about vistla at CRAN
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New package pmlbr with initial version 0.2.3
Package: pmlbr
Title: Interface to the Penn Machine Learning Benchmarks Data Repository
Description: Check available classification and regression data sets from the PMLB repository and download them. The PMLB repository (<https://github.com/EpistasisLab/pmlbr>) contains a curated collection of data sets for evaluating and comparing machine learning algorithms. These data sets cover a range of applications, and include binary/multi-class classification problems and regression problems, as well as combinations of categorical, ordinal, and continuous features. There are currently over 150 datasets included in the PMLB repository.
Version: 0.2.3
BugReports: https://github.com/EpistasisLab/pmlbr/issues
Depends: R (>= 3.2.0)
Imports: utils, FNN, stats
License: GPL-2 | file LICENSE
URL: https://github.com/EpistasisLab/pmlbr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-02-19 17:41:03 UTC; ttle
Author: Trang Le [aut, cre] , makeyourownmaker [aut] , Jason Moore [aut] , University of Pennsylvania [cph]
Maintainer: Trang Le <grixor@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-19 23:40:05 UTC

More information about pmlbr at CRAN
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Package gtsummary updated to version 2.1.0 with previous version 2.0.4 dated 2024-11-30

Title: Presentation-Ready Data Summary and Analytic Result Tables
Description: Creates presentation-ready tables summarizing data sets, regression models, and more. The code to create the tables is concise and highly customizable. Data frames can be summarized with any function, e.g. mean(), median(), even user-written functions. Regression models are summarized and include the reference rows for categorical variables. Common regression models, such as logistic regression and Cox proportional hazards regression, are automatically identified and the tables are pre-filled with appropriate column headers.
Author: Daniel D. Sjoberg [aut, cre] , Joseph Larmarange [aut] , Michael Curry [aut] , Jessica Lavery [aut] , Karissa Whiting [aut] , Emily C. Zabor [aut] , Xing Bai [ctb], Esther Drill [ctb] , Jessica Flynn [ctb] , Margie Hannum [ctb] , Stephanie Lobaugh [c [...truncated...]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>

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Package EpiNow2 updated to version 1.7.1 with previous version 1.7.0 dated 2025-02-05

Title: Estimate Real-Time Case Counts and Time-Varying Epidemiological Parameters
Description: Estimates the time-varying reproduction number, rate of spread, and doubling time using a range of open-source tools (Abbott et al. (2020) <doi:10.12688/wellcomeopenres.16006.1>), and current best practices (Gostic et al. (2020) <doi:10.1101/2020.06.18.20134858>). It aims to help users avoid some of the limitations of naive implementations in a framework that is informed by community feedback and is actively supported.
Author: Sam Abbott [aut] , Joel Hellewell [aut] , Katharine Sherratt [aut], Katelyn Gostic [aut], Joe Hickson [aut], Hamada S. Badr [aut] , Michael DeWitt [aut] , James M. Azam [aut] , Robin Thompson [ctb], Sophie Meakin [ctb], James Munday [ctb], Nikos Boss [...truncated...]
Maintainer: Sebastian Funk <sebastian.funk@lshtm.ac.uk>

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Package DBCVindex updated to version 1.4 with previous version 1.3 dated 2025-02-13

Title: Calculates the Density-Based Clustering Validation (DBCV) Index
Description: A metric called 'Density-Based Clustering Validation index' (DBCV) index to evaluate clustering results, following the <https://github.com/pajaskowiak/clusterConfusion/blob/main/R/dbcv.R> 'R' implementation by Pablo Andretta Jaskowiak. Original 'DBCV' index article: Moulavi, D., Jaskowiak, P. A., Campello, R. J., Zimek, A., and Sander, J. (April 2014), "Density-based clustering validation", Proceedings of SDM 2014 -- the 2014 SIAM International Conference on Data Mining (pp. 839-847), <doi:10.1137/1.9781611973440.96>.
Author: Davide Chicco [cre] , Pablo Andretta Jaskowiak [aut]
Maintainer: Davide Chicco <davidechicco@davidechicco.it>

Diff between DBCVindex versions 1.3 dated 2025-02-13 and 1.4 dated 2025-02-19

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Package mxfda updated to version 0.2.2-1 with previous version 0.2.2 dated 2024-10-07

Title: A Functional Data Analysis Package for Spatial Single Cell Data
Description: Methods and tools for deriving spatial summary functions from single-cell imaging data and performing functional data analyses. Functions can be applied to other single-cell technologies such as spatial transcriptomics. Functional regression and functional principal component analysis methods are in the 'refund' package <https://cran.r-project.org/package=refund> while calculation of the spatial summary functions are from the 'spatstat' package <https://spatstat.org/>.
Author: Julia Wrobel [aut] , Alex Soupir [aut, cre]
Maintainer: Alex Soupir <alex.soupir@moffitt.org>

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Package sfhotspot updated to version 0.9.1 with previous version 0.9.0 dated 2025-02-10

Title: Hot-Spot Analysis with Simple Features
Description: Identify and understand clusters of points (typically representing the locations of places or events) stored in simple-features (SF) objects. This is useful for analysing, for example, hot-spots of crime events. The package emphasises producing results from point SF data in a single step using reasonable default values for all other arguments, to aid rapid data analysis by users who are starting out. Functions available include kernel density estimation (for details, see Yip (2020) <doi:10.22224/gistbok/2020.1.12>), analysis of spatial association (Getis and Ord (1992) <doi:10.1111/j.1538-4632.1992.tb00261.x>) and hot-spot classification (Chainey (2020) ISBN:158948584X).
Author: Matt Ashby [aut, cre]
Maintainer: Matt Ashby <matthew.ashby@ucl.ac.uk>

Diff between sfhotspot versions 0.9.0 dated 2025-02-10 and 0.9.1 dated 2025-02-19

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Package wdiEF updated to version 1.0.3 with previous version 1.0.2 dated 2024-12-02

Title: Calculation of the Water Deficit Index (WDI) and the Evaporative Fraction (EF) on Rasters
Description: Calculates the Water Deficit Index (WDI) and the Evaporative Fraction (EF) using geospatial data, such as fractional vegetation cover (FVC) and surface-air temperature difference (TS-TA). Terms like "raster", "CRS" are part of standard geospatial terminology.
Author: Gaelle Hamelin [aut, cre]
Maintainer: Gaelle Hamelin <gaelle.hamelin@institut-agro.fr>

Diff between wdiEF versions 1.0.2 dated 2024-12-02 and 1.0.3 dated 2025-02-19

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Package tinytex updated to version 0.55 with previous version 0.54 dated 2024-11-01

Title: Helper Functions to Install and Maintain TeX Live, and Compile LaTeX Documents
Description: Helper functions to install and maintain the 'LaTeX' distribution named 'TinyTeX' (<https://yihui.org/tinytex/>), a lightweight, cross-platform, portable, and easy-to-maintain version of 'TeX Live'. This package also contains helper functions to compile 'LaTeX' documents, and install missing 'LaTeX' packages automatically.
Author: Yihui Xie [aut, cre, cph] , Posit Software, PBC [cph, fnd], Christophe Dervieux [ctb] , Devon Ryan [ctb] , Ethan Heinzen [ctb], Fernando Cagua [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package coneproj updated to version 1.20 with previous version 1.19 dated 2024-06-11

Title: Primal or Dual Cone Projections with Routines for Constrained Regression
Description: Routines doing cone projection and quadratic programming, as well as doing estimation and inference for constrained parametric regression and shape-restricted regression problems. See Mary C. Meyer (2013)<doi:10.1080/03610918.2012.659820> for more details.
Author: Mary C. Meyer [aut], Xiyue Liao [aut, cre]
Maintainer: Xiyue Liao <xliao@sdsu.edu>

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Package circlus updated to version 0.0.2 with previous version 0.0.1 dated 2024-10-17

Title: Clustering and Simulation of Spherical Cauchy and PKBD Models
Description: Provides tools for estimation and clustering of spherical data, seamlessly integrated with the 'flexmix' package. Includes the necessary M-step implementations for both Poisson Kernel-Based Distribution (PKBD) and spherical Cauchy distribution. Additionally, the package provides random number generators for PKBD and spherical Cauchy distribution. Methods are based on Golzy M., Markatou M. (2020) <doi:10.1080/10618600.2020.1740713>, Kato S., McCullagh P. (2020) <doi:10.3150/20-bej1222> and Sablica L., Hornik K., Leydold J. (2023) <doi:10.1214/23-ejs2149>.
Author: Lukas Sablica [aut, cre] , Kurt Hornik [aut] , Bettina Gruen [aut] , Josef Leydold [aut]
Maintainer: Lukas Sablica <lsablica@wu.ac.at>

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Package aftables updated to version 1.0.2 with previous version 1.0.1 dated 2025-02-19

Title: Create Spreadsheet Publications Following Best Practice
Description: Generate spreadsheet publications that follow best practice guidance from the UK government's Analysis Function, available at <https://analysisfunction.civilservice.gov.uk/policy-store/releasing-statistics-in-spreadsheets/>, with a focus on accessibility. See also the 'Python' package 'gptables'.
Author: Matt Dray [aut], Tim Taylor [ctb], Matt Kerlogue [ctb], Crown Copyright [cph], Olivia Box Power [cre, ctb]
Maintainer: Olivia Box Power <Olivia.BoxPower@dhsc.gov.uk>

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Package xfun updated to version 0.51 with previous version 0.50 dated 2025-01-07

Title: Supporting Functions for Packages Maintained by 'Yihui Xie'
Description: Miscellaneous functions commonly used in other packages maintained by 'Yihui Xie'.
Author: Yihui Xie [aut, cre, cph] , Wush Wu [ctb], Daijiang Li [ctb], Xianying Tan [ctb], Salim Brueggemann [ctb] , Christophe Dervieux [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package metricminer updated to version 1.0.0 with previous version 0.5.1 dated 2024-02-02

Title: Mine Metrics from Common Places on the Web
Description: Mine metrics on common places on the web through the power of their APIs (application programming interfaces). It also helps make the data in a format that is easily used for a dashboard or other purposes. There is an associated dashboard template and tutorials that are underdevelopment that help you fully utilize 'metricminer'.
Author: Candace Savonen [aut, cre], Howard Baek [aut]
Maintainer: Candace Savonen <cansav09@gmail.com>

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More information about metricminer at CRAN
Permanent link

Package lares updated to version 5.2.13 with previous version 5.2.12 dated 2025-02-19

Title: Analytics & Machine Learning Sidekick
Description: Auxiliary package for better/faster analytics, visualization, data mining, and machine learning tasks. With a wide variety of family functions, like Machine Learning, Data Wrangling, Marketing Mix Modeling (Robyn), Exploratory, API, and Scrapper, it helps the analyst or data scientist to get quick and robust results, without the need of repetitive coding or advanced R programming skills.
Author: Bernardo Lares [aut, cre]
Maintainer: Bernardo Lares <laresbernardo@gmail.com>

Diff between lares versions 5.2.12 dated 2025-02-19 and 5.2.13 dated 2025-02-19

 DESCRIPTION                |    6 
 MD5                        |  522 +++----
 NAMESPACE                  | 1100 ++++++++--------
 R/apis.R                   |   68 -
 R/audio.R                  |  368 ++---
 R/cache.R                  |  334 ++--
 R/chatgpt.R                |  936 ++++++-------
 R/checks.R                 |  334 ++--
 R/clusters.R               |  694 +++++-----
 R/colour_palettes.R        |  394 ++---
 R/confidence.R             |  172 +-
 R/correlations.R           | 1116 ++++++++--------
 R/cran.R                   |  176 +-
 R/credentials.R            |  196 +-
 R/crossbrand.R             |  682 +++++-----
 R/crossbrand2.R            |  936 ++++++-------
 R/crosstab.R               |  202 +--
 R/currency.R               |  146 +-
 R/dalex_explainers.R       |  436 +++---
 R/dataframe_str.R          |  462 +++---
 R/datasets.R               |  160 +-
 R/dim_reduction.R          |  336 ++---
 R/distribution.R           |  950 +++++++-------
 R/dropbox.R                |  246 +--
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 R/forecasting.R            |  710 +++++-----
 R/frequencies.R            | 1724 ++++++++++++-------------
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 R/google_analytics.R       |  128 -
 R/google_sheets.R          |  258 +--
 R/google_trends.R          |  380 ++---
 R/hubspot.R                |  398 ++---
 R/hubspot_f1.R             |  502 +++----
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 R/missings.R               |  260 +--
 R/model_functions.R        | 1956 ++++++++++++++---------------
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 R/model_predict.R          |  328 ++--
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 R/object_detection.R       |  120 -
 R/onehotencoding.R         | 1052 +++++++--------
 R/other_functions.R        | 2262 ++++++++++++++++-----------------
 R/other_plots.R            |  548 ++++----
 R/outliers.R               |  364 ++---
 R/plot_scales.R            |  224 +--
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 R/scrabble.R               |  996 +++++++-------
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 R/text_mining.R            | 1124 ++++++++--------
 R/theme_lares.R            |  820 ++++++------
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 man/markdown2df.Rd         |  120 -
 man/maze_solve.Rd          |  182 +-
 man/missingness.Rd         |  140 +-
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 man/move_files.Rd          |  120 -
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 man/rtistry_sphere.Rd      |   36 
 man/scale_x_comma.Rd       |  208 +--
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 man/zerovar.Rd             |   98 -
 262 files changed, 35209 insertions(+), 35182 deletions(-)

More information about lares at CRAN
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Package kerntools updated to version 1.2.0 with previous version 1.1.0 dated 2024-10-25

Title: Kernel Functions and Tools for Machine Learning Applications
Description: Kernel functions for diverse types of data (including, but not restricted to: nonnegative and real vectors, real matrices, categorical and ordinal variables, sets, strings), plus other utilities like kernel similarity, kernel Principal Components Analysis (PCA) and features' importance for Support Vector Machines (SVMs), which expand other 'R' packages like 'kernlab'.
Author: Elies Ramon [aut, cre, cph]
Maintainer: Elies Ramon <eramon@everlyrusher.com>

Diff between kerntools versions 1.1.0 dated 2024-10-25 and 1.2.0 dated 2025-02-19

 DESCRIPTION                            |    6 
 MD5                                    |   49 +--
 NAMESPACE                              |    4 
 NEWS.md                                |   15 
 R/importancies.R                       |   74 ++++
 R/kernel_functions.R                   |  170 +++++++++-
 R/kernel_study.R                       |   22 -
 README.md                              |    7 
 inst/WORDLIST                          |   18 +
 inst/doc/Kernel-PCA-and-CIA.html       |   12 
 inst/doc/Kernel-functions.R            |   33 ++
 inst/doc/Kernel-functions.Rmd          |  131 +++++++-
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 inst/doc/kerntools.R                   |   14 
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 man/Chi2.Rd                            |only
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 man/cLinear.Rd                         |only
 man/heatK.Rd                           |    3 
 tests/testthat/test-importancies.R     |   23 +
 tests/testthat/test-kernel_functions.R |   77 ++++
 vignettes/Kernel-functions.Rmd         |  131 +++++++-
 vignettes/kerntools.Rmd                |   26 +
 27 files changed, 1240 insertions(+), 339 deletions(-)

More information about kerntools at CRAN
Permanent link

Package jsonlite updated to version 1.9.0 with previous version 1.8.9 dated 2024-09-20

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 1.8.9 dated 2024-09-20 and 1.9.0 dated 2025-02-19

 jsonlite-1.8.9/jsonlite/src/modp_stdint.h               |only
 jsonlite-1.9.0/jsonlite/DESCRIPTION                     |    6 ++---
 jsonlite-1.9.0/jsonlite/MD5                             |   17 +++++++---------
 jsonlite-1.9.0/jsonlite/NEWS                            |    3 ++
 jsonlite-1.9.0/jsonlite/build/vignette.rds              |binary
 jsonlite-1.9.0/jsonlite/inst/doc/json-aaquickstart.html |   10 ++++-----
 jsonlite-1.9.0/jsonlite/inst/doc/json-mapping.pdf       |binary
 jsonlite-1.9.0/jsonlite/man/stream_in.Rd                |    2 -
 jsonlite-1.9.0/jsonlite/src/modp_numtoa.c               |    5 ++--
 jsonlite-1.9.0/jsonlite/src/modp_numtoa.h               |    4 ++-
 10 files changed, 26 insertions(+), 21 deletions(-)

More information about jsonlite at CRAN
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Package viralmodels updated to version 1.3.3 with previous version 1.3.1 dated 2024-10-18

Title: Viral Load and CD4 Lymphocytes Regression Models
Description: Provides a comprehensive framework for building, evaluating, and visualizing regression models for analyzing viral load and CD4 (Cluster of Differentiation 4) lymphocytes data. It leverages the principles of the tidymodels ecosystem of Max Kuhn and Hadley Wickham (2020) <https://www.tidymodels.org> to offer a user-friendly experience in model development. This package includes functions for data preprocessing, feature engineering, model training, tuning, and evaluation, along with visualization tools to enhance the interpretation of model results. It is specifically designed for researchers in biostatistics, computational biology, and HIV research who aim to perform reproducible and rigorous analyses to gain insights into disease dynamics. The main focus is on improving the understanding of the relationships between viral load, CD4 lymphocytes, and other relevant covariates to contribute to HIV research and the visibility of vulnerable seropositive populations.
Author: Juan Pablo Acuna Gonzalez [aut, cre]
Maintainer: Juan Pablo Acuna Gonzalez <acua6307@gmail.com>

Diff between viralmodels versions 1.3.1 dated 2024-10-18 and 1.3.3 dated 2025-02-19

 DESCRIPTION                       |    6 +-
 MD5                               |   32 ++++++-------
 NAMESPACE                         |    1 
 NEWS.md                           |   12 ++++-
 R/viralmodel.R                    |   64 +++++++++++++--------------
 R/viralpreds.R                    |   88 +++++++++++++++++++++++++++++--------
 R/viraltab.R                      |   89 ++++++++++++++++++++++----------------
 R/viralvis.R                      |   60 ++++++++++++-------------
 man/viralmodel.Rd                 |    2 
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 tests/testthat/_snaps/viraltab.md |    2 
 tests/testthat/test-viralmodel.R  |    2 
 tests/testthat/test-viralpreds.R  |    2 
 tests/testthat/test-viraltab.R    |    4 -
 tests/testthat/test-viralvis.R    |    3 -
 17 files changed, 247 insertions(+), 157 deletions(-)

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New package SDModels with initial version 1.0.4
Package: SDModels
Title: Spectrally Deconfounded Models
Version: 1.0.4
Description: Screen for and analyze non-linear sparse direct effects in the presence of unobserved confounding using the spectral deconfounding techniques (Ćevid, Bühlmann, and Meinshausen (2020)<jmlr.org/papers/v21/19-545.html>, Guo, Ćevid, and Bühlmann (2022) <doi:10.1214/21-AOS2152>). These methods have been shown to be a good estimate for the true direct effect if we observe many covariates, e.g., high-dimensional settings, and we have fairly dense confounding. Even if the assumptions are violated, it seems like there is not much to lose, and the deconfounded models will, in general, estimate a function closer to the true one than classical least squares optimization. 'SDModels' provides functions SDAM() for Spectrally Deconfounded Additive Models (Scheidegger, Guo, and Bühlmann (2025) <doi:10.1145/3711116>) and SDForest() for Spectrally Deconfounded Random Forests (Ulmer, Scheidegger, and Bühlmann (2025) <doi:10.48550/arXiv.2502.03969>).
License: GPL-3
Imports: data.tree, DiagrammeR, doParallel, ggplot2, GPUmatrix, gridExtra, locatexec, parallel, pbapply, Rdpack, tidyr, fda, grplasso, rlang
Suggests: plotly, datasets, rpart, knitr, rmarkdown, ranger, HDclassif, qpdf, igraph, testthat (>= 3.0.0)
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://markusul.github.io/SDModels/
BugReports: https://github.com/markusul/SDModels/issues
NeedsCompilation: no
Packaged: 2025-02-18 10:55:30 UTC; maulmer
Author: Markus Ulmer [aut, cre, cph] , Cyrill Scheidegger [aut]
Maintainer: Markus Ulmer <markus.ulmer@stat.math.ethz.ch>
Repository: CRAN
Date/Publication: 2025-02-19 14:30:08 UTC

More information about SDModels at CRAN
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New package popsom7 with initial version 7.0.0
Package: popsom7
Version: 7.0.0
Title: A User-Friendly Implementation of Self-Organizing Maps
Maintainer: Lutz Hamel <lutzhamel@uri.edu>
Description: Self-organizing maps with a number of distinguishing features: (1) Automatic centroid detection and cluster visualization using starbursts, for more details see the paper "Improved Interpretability of the Unified Distance Matrix with Connected Components" by Hamel and Brown (2011) in <ISBN:1-60132-168-6>. (2) Two models of the data: (a) a self organizing map model, (b) a centroid based clustering model. (3) A number of easily accessible quality metrics, Hamel (2016) <doi:10.1007/978-3-319-28518-4_4>.
License: GPL-3
URL: https://github.com/lutzhamel/popsom7
BugReports: https://github.com/lutzhamel/popsom7/issues
Imports: fields, graphics, ggplot2, hash, stats, som, grDevices
Suggests: testthat (>= 3.0.0)
Repository: CRAN
NeedsCompilation: no
Packaged: 2025-02-18 14:21:56 UTC; lutz
Author: Lutz Hamel [aut, cre], Benjamin Ott [aut], Gregory Breard [aut], Robert Tatoian [aut], Michael Eiger [aut], Vishakh Gopu [aut]
Date/Publication: 2025-02-19 15:00:02 UTC

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New package nplr with initial version 0.1-8
Package: nplr
Title: N-Parameter Logistic Regression
Version: 0.1-8
Maintainer: Tymoteusz Kwiecinski <tymoteuszkwiecinski@gmail.com>
Depends: methods
Imports: stats,graphics,utils
Suggests: RUnit,knitr
VignetteBuilder: knitr
Description: Performing drug response analyses and IC50 estimations using n-Parameter logistic regression. Can also be applied to proliferation analyses.
License: GPL
URL: https://github.com/mini-pw/nplr
NeedsCompilation: no
Packaged: 2025-02-18 00:03:29 UTC; tymot
Author: Frederic Commo [aut], Brian M. Bot [aut], Tymoteusz Kwiecinski [aut, cre]
Repository: CRAN
Date/Publication: 2025-02-19 14:10:01 UTC

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New package netknitr with initial version 0.2.1
Package: netknitr
Title: Knit Network Map for any Dataset
Version: 0.2.1
Description: Designed to create interactive and visually compelling network maps using R Shiny. It allows users to quickly analyze CSV files and visualize complex relationships, structures, and connections within data by leveraging powerful network analysis libraries and dynamic web interfaces.
Depends: R (>= 3.1.0),
Imports: openxlsx, utils, shiny, shinydashboard, dplyr, visNetwork
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-02-18 07:05:48 UTC; RPUSH1
Author: Jayachandra N [aut, cre], Pushker Ravindra [aut]
Maintainer: Jayachandra N <itsjay510@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-19 14:30:05 UTC

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New package MSCA with initial version 1.0
Package: MSCA
Title: Clustering of Multiple Censored Time-to-Event Endpoints
Version: 1.0
Description: Provides basic tools for computing clusters of instances described by multiple time-to-event censored endpoints. From long-format datasets, where one instance is described by one or more records of events, a procedure is used to compute state matrices. Then, from state matrices, a procedure provides optimised computation of the Jaccard distance between instances. The library is currently in development, and more options and tools allowing graphical representation of typologies are expected. For methodological details, see our methodological paper: Delord M, Douiri A (2025) <doi:10.1186/s12874-025-02476-7>.
License: GPL-3
Imports: dplyr, Matrix, Rcpp, RcppParallel, rlang, stats, tibble, utils
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-02-18 10:44:32 UTC; marc
Author: Marc Delord [aut, cre]
Maintainer: Marc Delord <mdelord@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-02-19 14:30:13 UTC

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New package gander with initial version 0.1.0
Package: gander
Title: High Performance, Low Friction Large Language Model Chat
Version: 0.1.0
Description: Introduces a 'Copilot'-like completion experience, but it knows how to talk to the objects in your R environment. 'ellmer' chats are integrated directly into your 'RStudio' and 'Positron' sessions, automatically incorporating relevant context from surrounding lines of code and your global environment (like data frame columns and types). Open the package dialog box with a keyboard shortcut, type your request, and the assistant will stream its response directly into your documents.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/simonpcouch/gander, https://simonpcouch.github.io/gander/
BugReports: https://github.com/simonpcouch/gander/issues
Depends: R (>= 4.3.0)
Imports: cli (>= 3.6.3), glue (>= 1.8.0), ellmer (>= 0.1.0), miniUI (>= 0.1.1.1), rlang (>= 1.1.4), rstudioapi (>= 0.17.1), shiny (>= 1.9.1), streamy, treesitter, treesitter.r
Suggests: gt, knitr, rmarkdown, testthat (>= 3.0.0), tibble, withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-02-18 15:20:37 UTC; simoncouch
Author: Simon Couch [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Simon Couch <simon.couch@posit.co>
Repository: CRAN
Date/Publication: 2025-02-19 15:00:05 UTC

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New package epigrowthfit with initial version 0.15.4
Package: epigrowthfit
Version: 0.15.4
Date: 2025-02-14
License: GPL-3
Encoding: UTF-8
URL: https://github.com/davidearn/epigrowthfit
BugReports: https://github.com/davidearn/epigrowthfit/issues
Title: Nonlinear Mixed Effects Models of Epidemic Growth
Description: Maximum likelihood estimation of nonlinear mixed effects models of epidemic growth using Template Model Builder ('TMB'). Enables joint estimation for collections of disease incidence time series, including time series that describe multiple epidemic waves. Supports a set of widely used phenomenological models: exponential, logistic, Richards (generalized logistic), subexponential, and Gompertz. Provides methods for interrogating model objects and several auxiliary functions, including one for computing basic reproduction numbers from fitted values of the initial exponential growth rate. Preliminary versions of this software were applied in Ma et al. (2014) <doi:10.1007/s11538-013-9918-2> and in Earn et al. (2020) <doi:10.1073/pnas.2004904117>.
Depends: R (>= 4.3)
LinkingTo: RcppEigen (>= 0.3.4.0.0), TMB
Imports: Matrix (>= 1.6-2), TMB, grDevices, graphics, methods, nlme, stats, utils
LazyData: true
NeedsCompilation: yes
Packaged: 2025-02-18 13:50:46 UTC; mikael
Author: Mikael Jagan [aut, cre] , Ben Bolker [aut] , Jonathan Dushoff [ctb] , David Earn [ctb] , Junling Ma [ctb]
Maintainer: Mikael Jagan <jaganmn@mcmaster.ca>
Repository: CRAN
Date/Publication: 2025-02-19 14:50:02 UTC

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New package ctablerseh with initial version 1.1.2
Package: ctablerseh
Title: Processing Survey Data with Confidence Intervals Like 'SPSS' Software
Version: 1.1.2
Description: Processes survey data and displays estimation results along with the relative standard error in a table, including the number of samples and also uses a t-distribution approach to compute confidence intervals, similar to 'SPSS' (Statistical Package for the Social Sciences) software.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Author: Asy-Syaja'ul Haqqul Amin [aut, cre]
Maintainer: Asy-Syaja'ul Haqqul Amin <haqqul.amin06@gmail.com>
Depends: R (>= 2.10)
Imports: survey
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-02-18 11:45:24 UTC; Haqqul Amin
Repository: CRAN
Date/Publication: 2025-02-19 14:40:02 UTC

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New package ASML with initial version 1.0.0
Package: ASML
Title: Algorithm Portfolio Selection with Machine Learning
Version: 1.0.0
Description: A wrapper for machine learning (ML) methods to select among a portfolio of algorithms based on the value of a key performance indicator (KPI). A number of features is used to adjust a model to predict the value of the KPI for each algorithm, then, for a new value of the features the KPI is estimated and the algorithm with the best one is chosen. To learn it can use the regression methods in 'caret' package or a custom function defined by the user. Several graphics available to analyze the results obtained. This library has been used in Ghaddar et al. (2023) <doi:10.1287/ijoc.2022.0090>).
License: GPL-3
Language: en-US
Encoding: UTF-8
LazyData: true
Imports: caret, ggplot2, dplyr, purrr, tibble, tidyr, reshape2, Polychrome, scales, rlang
Suggests: snow
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2025-02-18 13:01:46 UTC; brais
Author: Brais Gonzalez-Rodriguez [aut, cre] , Ignacio Gomez-Casares [aut] , Beatriz Pateiro-Lopez [aut] , Julio Gonzalez-Diaz [aut] , Maria Caseiro-Arias [ctb], Antonio Farina-Elorza [ctb], Manuel Timiraos-Lopez [ctb]
Maintainer: Brais Gonzalez-Rodriguez <brais.gonzalez.rodriguez@uvigo.gal>
Repository: CRAN
Date/Publication: 2025-02-19 14:40:05 UTC

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New package aftables with initial version 1.0.1
Package: aftables
Title: Create Spreadsheet Publications Following Best Practice
Version: 1.0.1
Description: Generate spreadsheet publications that follow best practice guidance from the UK government's Analysis Function, with a focus on accessibility. Based on 'openxlsx'. See also the Python package 'gptables'.
License: MIT + file LICENSE
URL: https://best-practice-and-impact.github.io/aftables/, https://github.com/best-practice-and-impact/aftables
BugReports: https://github.com/best-practice-and-impact/aftables/issues
Depends: R (>= 3.5)
Imports: openxlsx, pillar
Suggests: covr, knitr, rmarkdown, rstudioapi, testthat (>= 3.0.0), tibble
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-02-18 14:57:06 UTC; OBoxPower
Author: Matt Dray [aut], Tim Taylor [ctb], Matt Kerlogue [ctb], Crown Copyright [cph], Olivia Box Power [cre, ctb]
Maintainer: Olivia Box Power <Olivia.BoxPower@dhsc.gov.uk>
Repository: CRAN
Date/Publication: 2025-02-19 15:00:09 UTC

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Package watson updated to version 0.6 with previous version 0.5 dated 2024-11-19

Title: Fitting and Simulating Mixtures of Watson Distributions
Description: Tools for fitting and simulating mixtures of Watson distributions. The random sampling scheme of the package offers two sampling algorithms that are based of the results of Sablica, Hornik and Leydold (2022) <doi:10.1080/10618600.2024.2416521>. What is more, the package offers a smart tool to combine these two methods, and based on the selected parameters, it approximates the relative sampling speed for both methods and picks the faster one. In addition, the package offers a fitting function for the mixtures of Watson distribution, that uses the expectation-maximization (EM) algorithm. Special features are the possibility to use multiple variants of the E-step and M-step, sparse matrices for the data representation and state of the art methods for numerical evaluation of needed special functions using the results of Sablica and Hornik (2022) <doi:10.1090/mcom/3690> and Sablica and Hornik (2024) <doi:10.1016/j.jmaa.2024.128262>.
Author: Lukas Sablica [aut, cre] , Kurt Hornik [aut] , Josef Leydold [aut] , Gerard Jungman [ctb, cph] , Brian Gough [ctb, cph]
Maintainer: Lukas Sablica <lsablica@wu.ac.at>

Diff between watson versions 0.5 dated 2024-11-19 and 0.6 dated 2025-02-19

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Package Rrepest updated to version 1.5.4 with previous version 1.5.3 dated 2025-02-17

Title: An Analyzer of International Large Scale Assessments in Education
Description: An easy way to analyze international large-scale assessments and surveys in education or any other dataset that includes replicated weights (Balanced Repeated Replication (BRR) weights, Jackknife replicate weights,...) while also allowing for analysis with multiply imputed variables (plausible values). It supports the estimation of univariate statistics (e.g. mean, variance, standard deviation, quantiles), frequencies, correlation, linear regression and any other model already implemented in R that takes a data frame and weights as parameters. It also includes options to prepare the results for publication, following the table formatting standards of the Organization for Economic Cooperation and Development (OECD).
Author: Rodolfo Ilizaliturri [aut, cre], Francesco Avvisati [aut], Francois Keslair [aut]
Maintainer: Rodolfo Ilizaliturri <rodolfo.ilizaliturri@oecd.org>

Diff between Rrepest versions 1.5.3 dated 2025-02-17 and 1.5.4 dated 2025-02-19

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Package psborrow updated to version 0.2.2 with previous version 0.2.1 dated 2023-03-03

Title: Bayesian Dynamic Borrowing with Propensity Score
Description: A tool which aims to help evaluate the effect of external borrowing using an integrated approach described in Lewis et al., (2019) <doi:10.1080/19466315.2018.1497533> that combines propensity score and Bayesian dynamic borrowing methods.
Author: Isaac Gravestock [cre, ctb], Craig Gower-Page [aut], Matt Secrest [ctb], Yichen Lu [aut], Aijing Lin [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Isaac Gravestock <isaac.gravestock@roche.com>

Diff between psborrow versions 0.2.1 dated 2023-03-03 and 0.2.2 dated 2025-02-19

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Package MiscMetabar updated to version 0.14.1 with previous version 0.12.1 dated 2025-01-29

Title: Miscellaneous Functions for Metabarcoding Analysis
Description: Facilitate the description, transformation, exploration, and reproducibility of metabarcoding analyses. 'MiscMetabar' is mainly built on top of the 'phyloseq', 'dada2' and 'targets' R packages. It helps to build reproducible and robust bioinformatics pipelines in R. 'MiscMetabar' makes ecological analysis of alpha and beta-diversity easier, more reproducible and more powerful by integrating a large number of tools. Important features are described in Taudière A. (2023) <doi:10.21105/joss.06038>.
Author: Adrien Taudiere [aut, cre, cph]
Maintainer: Adrien Taudiere <adrien.taudiere@zaclys.net>

Diff between MiscMetabar versions 0.12.1 dated 2025-01-29 and 0.14.1 dated 2025-02-19

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 man/adonis_pq.Rd                                                       |    2 
 man/ancombc_pq.Rd                                                      |    4 
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 man/assign_idtaxa.Rd                                                   |   10 
 man/assign_sintax.Rd                                                   |   17 
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 man/blast_pq.Rd                                                        |    8 
 man/blast_to_derep.Rd                                                  |    4 
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 man/dist_bycol.Rd                                                      |    2 
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 man/ggaluv_pq.Rd                                                       |    2 
 man/ggbetween_pq.Rd                                                    |    2 
 man/ggscatt_pq.Rd                                                      |    2 
 man/glmutli_pq.Rd                                                      |    2 
 man/hill_curves_pq.Rd                                                  |    2 
 man/hill_test_rarperm_pq.Rd                                            |    2 
 man/lulu_pq.Rd                                                         |    2 
 man/multipatt_pq.Rd                                                    |    2 
 man/plot_LCBD_pq.Rd                                                    |    2 
 man/plot_SCBD_pq.Rd                                                    |    2 
 man/plot_tsne_pq.Rd                                                    |    2 
 man/postcluster_pq.Rd                                                  |    2 
 man/read_pq.Rd                                                         |    2 
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 man/save_pq.Rd                                                         |    2 
 man/tbl_sum_samdata.Rd                                                 |    2 
 man/tbl_sum_taxtable.Rd                                                |    2 
 man/track_wkflow.Rd                                                    |    2 
 man/treemap_pq.Rd                                                      |    2 
 man/tsne_pq.Rd                                                         |    2 
 man/umap_pq.Rd                                                         |    2 
 man/upset_pq.Rd                                                        |    2 
 man/upset_test_pq.Rd                                                   |    2 
 man/vs_search_global.Rd                                                |    6 
 man/write_pq.Rd                                                        |    2 
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Package maestro updated to version 0.5.1 with previous version 0.5.0 dated 2025-01-07

Title: Orchestration of Data Pipelines
Description: Framework for creating and orchestrating data pipelines. Organize, orchestrate, and monitor multiple pipelines in a single project. Use tags to decorate functions with scheduling parameters and configuration.
Author: Will Hipson [cre, aut, cph] , Ryan Garnett [aut, ctb, cph]
Maintainer: Will Hipson <will.e.hipson@gmail.com>

Diff between maestro versions 0.5.0 dated 2025-01-07 and 0.5.1 dated 2025-02-19

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Package RapidoPGS updated to version 2.3.1 with previous version 2.3.0 dated 2023-10-13

Title: A Fast and Light Package to Compute Polygenic Risk Scores
Description: Quickly computes polygenic scores from GWAS summary statistics of either case-control or quantitative traits without parameter tuning. Reales,G., Vigorito, E., Kelemen,M., Wallace,C. (2021) <doi:10.1101/2020.07.24.220392> "RápidoPGS: A rapid polygenic score calculator for summary GWAS data without a test dataset".
Author: Guillermo Reales [aut, cre] , Chris Wallace [aut] , Olly Burren [ctb]
Maintainer: Guillermo Reales <gr440@cam.ac.uk>

Diff between RapidoPGS versions 2.3.0 dated 2023-10-13 and 2.3.1 dated 2025-02-19

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Package lares updated to version 5.2.12 with previous version 5.2.11 dated 2025-01-09

Title: Analytics & Machine Learning Sidekick
Description: Auxiliary package for better/faster analytics, visualization, data mining, and machine learning tasks. With a wide variety of family functions, like Machine Learning, Data Wrangling, Marketing Mix Modeling (Robyn), Exploratory, API, and Scrapper, it helps the analyst or data scientist to get quick and robust results, without the need of repetitive coding or advanced R programming skills.
Author: Bernardo Lares [aut, cre]
Maintainer: Bernardo Lares <laresbernardo@gmail.com>

Diff between lares versions 5.2.11 dated 2025-01-09 and 5.2.12 dated 2025-02-19

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Package tclust updated to version 2.1-0 with previous version 2.0-5 dated 2024-10-15

Title: Robust Trimmed Clustering
Description: Provides functions for robust trimmed clustering. The methods are described in Garcia-Escudero (2008) <doi:10.1214/07-AOS515>, Fritz et al. (2012) <doi:10.18637/jss.v047.i12>, Garcia-Escudero et al. (2011) <doi:10.1007/s11222-010-9194-z> and others.
Author: Valentin Todorov [aut, cre] , Luis Angel Garcia Escudero [aut], Agustin Mayo Iscar [aut], Javier Crespo Guerrero [aut], Heinrich Fritz [aut]
Maintainer: Valentin Todorov <valentin.todorov@chello.at>

Diff between tclust versions 2.0-5 dated 2024-10-15 and 2.1-0 dated 2025-02-19

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Package CodelistGenerator updated to version 3.4.0 with previous version 3.3.2 dated 2025-01-28

Title: Identify Relevant Clinical Codes and Evaluate Their Use
Description: Generate a candidate code list for the Observational Medical Outcomes Partnership (OMOP) common data model based on string matching. For a given search strategy, a candidate code list will be returned.
Author: Edward Burn [aut, cre] , Marti Catala [ctb] , Xihang Chen [aut] , Nuria Mercade-Besora [aut] , Mike Du [ctb] , Danielle Newby [ctb]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

Diff between CodelistGenerator versions 3.3.2 dated 2025-01-28 and 3.4.0 dated 2025-02-19

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New package oglcnac with initial version 0.1.5
Package: oglcnac
Title: Processing and Analysis of 'O-GlcNAcAtlas' Data
Version: 0.1.5
Description: Provides tools for processing and analyzing data from the 'O-GlcNAcAtlas' database <https://oglcnac.org/>, as described in Ma (2021) <doi:10.1093/glycob/cwab003>. It integrates 'UniProt' <https://www.uniprot.org/> API calls to retrieve additional information. It is specifically designed for research workflows involving 'O-GlcNAcAtlas' data, providing a flexible and user-friendly interface for customizing and downloading processed results. Interactive elements allow users to easily adjust parameters and handle various biological datasets.
License: GPL-3
Encoding: UTF-8
Imports: cli, httr, jsonlite, shiny, DT, bslib, readxl, glue
Suggests: testthat (>= 3.0.0), tibble, curl
NeedsCompilation: no
Packaged: 2025-02-19 06:16:16 UTC; Bach
Author: Yaoxiang Li [aut, cre]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>
Repository: CRAN
Date/Publication: 2025-02-19 09:30:02 UTC

More information about oglcnac at CRAN
Permanent link

Package NewmanOmics updated to version 1.0.13 with previous version 1.0.11 dated 2024-04-28

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

Diff between NewmanOmics versions 1.0.11 dated 2024-04-28 and 1.0.13 dated 2025-02-19

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Package jsmodule updated to version 1.6.3 with previous version 1.6.1 dated 2025-01-08

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] , Hyungwoo Jo [aut], Jeongmin Seo [aut]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

Diff between jsmodule versions 1.6.1 dated 2025-01-08 and 1.6.3 dated 2025-02-19

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Package easy.utils updated to version 0.1.0 with previous version 0.0.5 dated 2024-09-24

Title: Frequently Used Functions for Easy R Programming
Description: Some utility functions for validation and data manipulation. These functions can be helpful to reduce internal codes everywhere in package development.
Author: Yuchen Li [aut, cre]
Maintainer: Yuchen Li <ycli1995@outlook.com>

Diff between easy.utils versions 0.0.5 dated 2024-09-24 and 0.1.0 dated 2025-02-19

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Package BioM2 updated to version 1.1.1 with previous version 1.1.0 dated 2024-09-20

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>

Diff between BioM2 versions 1.1.0 dated 2024-09-20 and 1.1.1 dated 2025-02-19

 DESCRIPTION      |    6 ++--
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New package unigd with initial version 0.1.3
Package: unigd
Title: Universal Graphics Device
Version: 0.1.3
Description: A unified R graphics backend. Render R graphics fast and easy to many common file formats. Provides a thread safe 'C' interface for asynchronous rendering of R graphics.
License: GPL (>= 2)
Depends: R (>= 3.2.0)
Imports: systemfonts (>= 1.0.0)
LinkingTo: cpp11 (>= 0.2.4), systemfonts
Encoding: UTF-8
SystemRequirements: libpng, cairo, freetype2, fontconfig
URL: https://github.com/nx10/unigd, https://nx10.github.io/unigd/
BugReports: https://github.com/nx10/unigd/issues
Suggests: testthat (>= 3.0.0), xml2 (>= 1.0.0), fontquiver (>= 0.2.0), covr, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-02-18 23:21:43 UTC; floru
Author: Florian Rupprecht [aut, cre] , Kun Ren [ctb], Tatsuya Shima [ctb], Jeroen Ooms [ctb] , Hadley Wickham [cph] , Lionel Henry [cph] , Thomas Lin Pedersen [cph] , T Jake Luciani [cph] , Matthieu Decorde [cph] , Vaudor Lise [cph] , Tony Plate [cph] , Davi [...truncated...]
Maintainer: Florian Rupprecht <floruppr@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-19 08:20:02 UTC

More information about unigd at CRAN
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Package tm updated to version 0.7-16 with previous version 0.7-15 dated 2024-11-18

Title: Text Mining Package
Description: A framework for text mining applications within R.
Author: Ingo Feinerer [aut] , Kurt Hornik [aut, cre] , Artifex Software, Inc. [ctb, cph]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between tm versions 0.7-15 dated 2024-11-18 and 0.7-16 dated 2025-02-19

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Package relations updated to version 0.6-15 with previous version 0.6-14 dated 2024-11-13

Title: Data Structures and Algorithms for Relations
Description: Data structures and algorithms for k-ary relations with arbitrary domains, featuring relational algebra, predicate functions, and fitters for consensus relations.
Author: David Meyer [aut] , Kurt Hornik [aut, cre] , Christian Buchta [ctb]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between relations versions 0.6-14 dated 2024-11-13 and 0.6-15 dated 2025-02-19

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Package mappeR updated to version 2.0.1 with previous version 2.0.0 dated 2025-02-16

Title: Construct and Visualize TDA Mapper Graphs
Description: Topological data analysis (TDA) is a method of data analysis that uses techniques from topology to analyze high-dimensional data. Here we implement Mapper, an algorithm from this area developed by Singh, Mémoli and Carlsson (2007) which generalizes the concept of a Reeb graph <https://en.wikipedia.org/wiki/Reeb_graph>.
Author: George Clare Kennedy [aut, cre]
Maintainer: George Clare Kennedy <george-clarekennedy@uiowa.edu>

Diff between mappeR versions 2.0.0 dated 2025-02-16 and 2.0.1 dated 2025-02-19

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Package cgam updated to version 1.23 with previous version 1.22 dated 2025-02-17

Title: Constrained Generalized Additive Model
Description: A constrained generalized additive model is fitted by the cgam routine. Given a set of predictors, each of which may have a shape or order restrictions, the maximum likelihood estimator for the constrained generalized additive model is found using an iteratively re-weighted cone projection algorithm. The ShapeSelect routine chooses a subset of predictor variables and describes the component relationships with the response. For each predictor, the user needs only specify a set of possible shape or order restrictions. A model selection method chooses the shapes and orderings of the relationships as well as the variables. The cone information criterion (CIC) is used to select the best combination of variables and shapes. A genetic algorithm may be used when the set of possible models is large. In addition, the cgam routine implements a two-dimensional isotonic regression using warped-plane splines without additivity assumptions. It can also fit a convex or concave regression surface with [...truncated...]
Author: Mary Meyer [aut], Xiyue Liao [aut, cre]
Maintainer: Xiyue Liao <xliao@sdsu.edu>

Diff between cgam versions 1.22 dated 2025-02-17 and 1.23 dated 2025-02-19

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Package BGmisc updated to version 1.3.3 with previous version 1.3.2 dated 2024-06-18

Title: An R Package for Extended Behavior Genetics Analysis
Description: Provides functions for behavior genetics analysis, including variance component model identification [Hunter et al. (2021) <doi:10.1007/s10519-021-10055-x>], calculation of relatedness coefficients using path-tracing methods [Wright (1922) <doi:10.1086/279872>; McArdle & McDonald (1984) <doi:10.1111/j.2044-8317.1984.tb00802.x>], inference of relatedness, pedigree conversion, and simulation of multi-generational family data [Lyu et al. (2024) <doi:10.1101/2024.12.19.629449>]. For a full overview, see Garrison et al. (2025) <doi:10.21105/joss.06203>.
Author: S. Mason Garrison [aut, cre] , Michael D. Hunter [aut] , Xuanyu Lyu [aut] , Rachel N. Good [ctb], Jonathan D. Trattner [aut] , S. Alexandra Burt [aut]
Maintainer: S. Mason Garrison <garrissm@wfu.edu>

Diff between BGmisc versions 1.3.2 dated 2024-06-18 and 1.3.3 dated 2025-02-19

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Package gpboost updated to version 1.5.6 with previous version 1.5.5.1 dated 2025-01-20

Title: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
Description: An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2022, JMLR) <https://www.jmlr.org/papers/v23/20-322.html> and Sigrist (2023, TPAMI) <doi:10.1109/TPAMI.2022.3168152> for more information on the methodology.
Author: Fabio Sigrist [aut, cre], Tim Gyger [aut], Pascal Kuendig [aut], Benoit Jacob [cph], Gael Guennebaud [cph], Nicolas Carre [cph], Pierre Zoppitelli [cph], Gauthier Brun [cph], Jean Ceccato [cph], Jitse Niesen [cph], Other authors of Eigen for the incl [...truncated...]
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>

Diff between gpboost versions 1.5.5.1 dated 2025-01-20 and 1.5.6 dated 2025-02-19

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Package curl updated to version 6.2.1 with previous version 6.2.0 dated 2025-01-23

Title: A Modern and Flexible Web Client for R
Description: Bindings to 'libcurl' <https://curl.se/libcurl/> for performing fully configurable HTTP/FTP requests where responses can be processed 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 'httr2' package which builds on this package with http specific tools and logic.
Author: Jeroen Ooms [aut, cre] , Hadley Wickham [ctb], Posit Software, PBC [cph]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between curl versions 6.2.0 dated 2025-01-23 and 6.2.1 dated 2025-02-19

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More information about curl at CRAN
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Package plumber updated to version 1.3.0 with previous version 1.2.2 dated 2024-03-25

Title: An API Generator for R
Description: Gives the ability to automatically generate and serve an HTTP API from R functions using the annotations in the R documentation around your functions.
Author: Barret Schloerke [cre, aut] , Jeff Allen [aut, ccp], Bruno Tremblay [ctb], Frans van Dunne [ctb], Sebastiaan Vandewoude [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Barret Schloerke <barret@posit.co>

Diff between plumber versions 1.2.2 dated 2024-03-25 and 1.3.0 dated 2025-02-19

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 plumber-1.3.0/plumber/tests/testthat/test-shared-secret.R     |    2 
 35 files changed, 531 insertions(+), 305 deletions(-)

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Package PL94171 updated to version 1.1.3 with previous version 1.1.2 dated 2022-09-11

Title: Tabulate P.L. 94-171 Redistricting Data Summary Files
Description: Tools to process legacy format summary redistricting data files produced by the United States Census Bureau pursuant to P.L. 94-171. These files are generally available earlier but are difficult to work with as-is.
Author: Cory McCartan [aut, cre], Christopher T. Kenny [aut]
Maintainer: Cory McCartan <mccartan@psu.edu>

Diff between PL94171 versions 1.1.2 dated 2022-09-11 and 1.1.3 dated 2025-02-19

 DESCRIPTION               |   12 +--
 MD5                       |   24 +++----
 NEWS.md                   |    3 
 R/pl_get_baf.R            |    2 
 R/pl_select_standard.R    |    4 -
 R/pl_subset.R             |    2 
 build/vignette.rds        |binary
 inst/doc/PL94171.R        |   18 ++---
 inst/doc/PL94171.html     |  152 +++++++++++++++++++++++-----------------------
 man/PL94171-package.Rd    |    2 
 man/pl_get_baf.Rd         |    2 
 man/pl_select_standard.Rd |    2 
 man/pl_subset.Rd          |    2 
 13 files changed, 117 insertions(+), 108 deletions(-)

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

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

2022-04-28 1.1
2022-04-13 1.0

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Package Pandora (with last version 24.2.0) was removed from CRAN

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

2024-02-26 24.2.0
2023-12-19 23.12.0

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