Sun, 16 Feb 2025

Package waywiser updated to version 0.6.1 with previous version 0.6.0 dated 2024-06-27

Title: Ergonomic Methods for Assessing Spatial Models
Description: Assessing predictive models of spatial data can be challenging, both because these models are typically built for extrapolating outside the original region represented by training data and due to potential spatially structured errors, with "hot spots" of higher than expected error clustered geographically due to spatial structure in the underlying data. Methods are provided for assessing models fit to spatial data, including approaches for measuring the spatial structure of model errors, assessing model predictions at multiple spatial scales, and evaluating where predictions can be made safely. Methods are particularly useful for models fit using the 'tidymodels' framework. Methods include Moran's I ('Moran' (1950) <doi:10.2307/2332142>), Geary's C ('Geary' (1954) <doi:10.2307/2986645>), Getis-Ord's G ('Ord' and 'Getis' (1995) <doi:10.1111/j.1538-4632.1995.tb00912.x>), agreement coefficients from 'Ji' and Gallo (2006) (<doi: 10.14358/PERS.72.7.823>), agreement m [...truncated...]
Author: Michael Mahoney [aut, cre] , Lucas Johnson [ctb] , Virgilio Gomez-Rubio [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/571>), Jakub Nowosad [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/571 [...truncated...]
Maintainer: Michael Mahoney <mike.mahoney.218@gmail.com>

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Package EFAfactors updated to version 1.2.1 with previous version 1.2.0 dated 2025-01-07

Title: Determining the Number of Factors in Exploratory Factor Analysis
Description: Provides a collection of standard factor retention methods in Exploratory Factor Analysis (EFA), making it easier to determine the number of factors. Traditional methods such as the scree plot by Cattell (1966) <doi:10.1207/s15327906mbr0102_10>, Kaiser-Guttman Criterion (KGC) by Guttman (1954) <doi:10.1007/BF02289162> and Kaiser (1960) <doi:10.1177/001316446002000116>, and flexible Parallel Analysis (PA) by Horn (1965) <doi:10.1007/BF02289447> based on eigenvalues form PCA or EFA are readily available. This package also implements several newer methods, such as the Empirical Kaiser Criterion (EKC) by Braeken and van Assen (2017) <doi:10.1037/met0000074>, Comparison Data (CD) by Ruscio and Roche (2012) <doi:10.1037/a0025697>, and Hull method by Lorenzo-Seva et al. (2011) <doi:10.1080/00273171.2011.564527>, as well as some AI-based methods like Comparison Data Forest (CDF) by Goretzko and Ruscio (2024) <doi:10.3758/s13428-023-02122-4> and F [...truncated...]
Author: Haijiang Qin [aut, cre, cph] , Lei Guo [aut, cph]
Maintainer: Haijiang Qin <haijiang133@outlook.com>

Diff between EFAfactors versions 1.2.0 dated 2025-01-07 and 1.2.1 dated 2025-02-16

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Package rsparse updated to version 0.5.3 with previous version 0.5.2 dated 2024-06-28

Title: Statistical Learning on Sparse Matrices
Description: Implements many algorithms for statistical learning on sparse matrices - matrix factorizations, matrix completion, elastic net regressions, factorization machines. Also 'rsparse' enhances 'Matrix' package by providing methods for multithreaded <sparse, dense> matrix products and native slicing of the sparse matrices in Compressed Sparse Row (CSR) format. List of the algorithms for regression problems: 1) Elastic Net regression via Follow The Proximally-Regularized Leader (FTRL) Stochastic Gradient Descent (SGD), as per McMahan et al(, <doi:10.1145/2487575.2488200>) 2) Factorization Machines via SGD, as per Rendle (2010, <doi:10.1109/ICDM.2010.127>) List of algorithms for matrix factorization and matrix completion: 1) Weighted Regularized Matrix Factorization (WRMF) via Alternating Least Squares (ALS) - paper by Hu, Koren, Volinsky (2008, <doi:10.1109/ICDM.2008.22>) 2) Maximum-Margin Matrix Factorization via ALS, paper by Rennie, Srebro (2005, <doi:10.1145/110 [...truncated...]
Author: Dmitriy Selivanov [aut, cre, cph] , David Cortes [ctb], Drew Schmidt [ctb] , Wei-Chen Chen [ctb]
Maintainer: Dmitriy Selivanov <selivanov.dmitriy@gmail.com>

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Package pqrBayes updated to version 1.1.0 with previous version 1.0.5 dated 2025-02-05

Title: Bayesian Penalized Quantile Regression
Description: Bayesian regularized quantile regression utilizing sparse priors to impose exact sparsity leads to efficient Bayesian shrinkage estimation, variable selection and statistical inference. In this package, we have implemented robust Bayesian variable selection with spike-and-slab priors under high-dimensional linear regression models (Fan et al. (2024) <doi:10.3390/e26090794> and Ren et al. (2023) <doi:10.1111/biom.13670>), and regularized quantile varying coefficient models (Zhou et al.(2023) <doi:10.1016/j.csda.2023.107808>). In particular, valid robust Bayesian inferences under both models in the presence of heavy-tailed errors can be validated on finite samples. The Markov Chain Monte Carlo (MCMC) algorithms of the proposed and alternative models are implemented in C++.
Author: Kun Fan [aut], Cen Wu [aut, cre], Jie Ren [aut], Fei Zhou [aut]
Maintainer: Cen Wu <wucen@ksu.edu>

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Package modEvA updated to version 3.29 with previous version 3.23 dated 2024-11-24

Title: Model Evaluation and Analysis
Description: Analyses species distribution models and evaluates their performance. It includes functions for variation partitioning, extracting variable importance, computing several metrics of model discrimination and calibration performance, optimizing prediction thresholds based on a number of criteria, performing multivariate environmental similarity surface (MESS) analysis, and displaying various analytical plots. Initially described in Barbosa et al. (2013) <doi:10.1111/ddi.12100>.
Author: A. Marcia Barbosa [aut, cre], Jennifer A. Brown [aut], Alberto Jimenez-Valverde [aut], Raimundo Real [aut], Oswald van Ginkel [ctb], Jurica Levatic [ctb], Victoria Formoso-Freire [ctb], Andres Baselga [ctb], Carola Gomez-Rodriguez [ctb], Jose Carlos [...truncated...]
Maintainer: A. Marcia Barbosa <ana.marcia.barbosa@gmail.com>

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Package mappeR updated to version 2.0.0 with previous version 1.3.0 dated 2024-10-30

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>

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Package jmvReadWrite updated to version 0.4.10 with previous version 0.4.9 dated 2025-01-16

Title: Read and Write 'jamovi' Files ('.omv')
Description: The free and open a statistical spreadsheet 'jamovi' (<https://www.jamovi.org>) aims to make statistical analyses easy and intuitive. 'jamovi' produces syntax that can directly be used in R (in connection with the R-package 'jmv'). Having import / export routines for the data files 'jamovi' produces ('.omv') permits an easy transfer of data and analyses between 'jamovi' and R.
Author: Sebastian Jentschke [aut, cre, cph]
Maintainer: Sebastian Jentschke <sebastian.jentschke@uib.no>

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Package CCAMLRGIS updated to version 4.2.1 with previous version 4.2.0 dated 2024-10-15

Title: Antarctic Spatial Data Manipulation
Description: Loads and creates spatial data, including layers and tools that are relevant to the activities of the Commission for the Conservation of Antarctic Marine Living Resources. Provides two categories of functions: load functions and create functions. Load functions are used to import existing spatial layers from the online CCAMLR GIS such as the ASD boundaries. Create functions are used to create layers from user data such as polygons and grids.
Author: Stephane Thanassekos [aut, cre], Keith Reid [aut], Lucy Robinson [aut], Michael D. Sumner [ctb], Roger Bivand [ctb]
Maintainer: Stephane Thanassekos <stephane.thanassekos@ccamlr.org>

Diff between CCAMLRGIS versions 4.2.0 dated 2024-10-15 and 4.2.1 dated 2025-02-16

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Package assessor updated to version 1.1.1 with previous version 1.1.0 dated 2024-04-03

Title: Assessment Tools for Regression Models with Discrete and Semicontinuous Outcomes
Description: Provides assessment tools for regression models with discrete and semicontinuous outcomes proposed in Yang (2023) <doi:10.48550/arXiv.2308.15596>. It calculates the double probability integral transform (DPIT) residuals, constructs QQ plots of residuals and the ordered curve for assessing mean structures.
Author: Lu Yang [aut], Jeonghwan Lee [cre, aut]
Maintainer: Jeonghwan Lee <lee03938@umn.edu>

Diff between assessor versions 1.1.0 dated 2024-04-03 and 1.1.1 dated 2025-02-16

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Package asremlPlus updated to version 4.4.46 with previous version 4.4.43 dated 2024-12-10

Title: Augments 'ASReml-R' in Fitting Mixed Models and Packages Generally in Exploring Prediction Differences
Description: Assists in automating the selection of terms to include in mixed models when 'asreml' is used to fit the models. Procedures are available for choosing models that conform to the hierarchy or marginality principle, for fitting and choosing between two-dimensional spatial models using correlation, natural cubic smoothing spline and P-spline models. A history of the fitting of a sequence of models is kept in a data frame. Also used to compute functions and contrasts of, to investigate differences between and to plot predictions obtained using any model fitting function. The content falls into the following natural groupings: (i) Data, (ii) Model modification functions, (iii) Model selection and description functions, (iv) Model diagnostics and simulation functions, (v) Prediction production and presentation functions, (vi) Response transformation functions, (vii) Object manipulation functions, and (viii) Miscellaneous functions (for further details see 'asremlPlus-package' in help). The [...truncated...]
Author: Chris Brien [aut, cre]
Maintainer: Chris Brien <chris.brien@adelaide.edu.au>

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Package PhenotypeR updated to version 0.1.3 with previous version 0.1.2 dated 2025-02-05

Title: Assess Study Cohorts Using a Common Data Model
Description: Phenotype study cohorts in data mapped to the Observational Medical Outcomes Partnership Common Data Model. Diagnostics are run at the database, code list, cohort, and population level to assess whether study cohorts are ready for research.
Author: Edward Burn [aut, cre] , Marti Catala [aut] , Xihang Chen [aut] , Marta Alcalde-Herraiz [aut] , Albert Prats-Uribe [aut]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

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Package nanonext updated to version 1.5.1 with previous version 1.5.0 dated 2025-01-27

Title: NNG (Nanomsg Next Gen) Lightweight Messaging Library
Description: R binding for NNG (Nanomsg Next Gen), a successor to ZeroMQ. NNG is a socket library for reliable, high-performance messaging over in-process, IPC, TCP, WebSocket and secure TLS transports. Implements 'Scalability Protocols', a standard for common communications patterns including publish/subscribe, request/reply and service discovery. As its own threaded concurrency framework, provides a toolkit for asynchronous programming and distributed computing. Intuitive 'aio' objects resolve automatically when asynchronous operations complete, and synchronisation primitives allow R to wait upon events signalled by concurrent threads.
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph], R Consortium [fnd]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

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Package rjaf updated to version 0.1.2 with previous version 0.1.1 dated 2024-12-08

Title: Regularized Joint Assignment Forest with Treatment Arm Clustering
Description: Personalized assignment to one of many treatment arms via regularized and clustered joint assignment forests as described in Ladhania, Spiess, Ungar, and Wu (2023) <doi:10.48550/arXiv.2311.00577>. The algorithm pools information across treatment arms: it considers a regularized forest-based assignment algorithm based on greedy recursive partitioning that shrinks effect estimates across arms; and it incorporates a clustering scheme that combines treatment arms with consistently similar outcomes.
Author: Wenbo Wu [aut, cph] , Xinyi Zhang [aut, cre, cph] , Jann Spiess [aut, cph] , Rahul Ladhania [aut, cph]
Maintainer: Xinyi Zhang <zhang.xinyi@nyu.edu>

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Package urlshorteneR updated to version 1.6.0 with previous version 1.5.7 dated 2022-08-22

Title: R Wrapper for the 'Bit.ly' and 'Is.gd'/'v.gd' URL Shortening Services
Description: Allows using two URL shortening services, which also provide expanding and analytic functions. Specifically developed for 'Bit.ly' (which requires OAuth 2.0) and 'is.gd' (no API key).
Author: John Malc [aut, cre] , Andrea Dodet [ctb] , Stephen Synchronicity [ctb]
Maintainer: John Malc <cincenko@outlook.com>

Diff between urlshorteneR versions 1.5.7 dated 2022-08-22 and 1.6.0 dated 2025-02-16

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Package subincomeR updated to version 0.3.0 with previous version 0.2.2 dated 2024-12-19

Title: Access to Global Sub-National Income Data
Description: Provides access to granular sub-national income data from the MCC-PIK Database Of Sub-national Economic Output (DOSE). The package downloads and processes the data from its open repository on 'Zenodo' (<https://zenodo.org/records/13773040>). Functions are provided to fetch data at multiple geographic levels, match coordinates to administrative regions, and access associated geometries.
Author: Pablo Garcia Guzman [aut, cre, cph]
Maintainer: Pablo Garcia Guzman <garciagp@ebrd.com>

Diff between subincomeR versions 0.2.2 dated 2024-12-19 and 0.3.0 dated 2025-02-16

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Package CohortConstructor updated to version 0.3.5 with previous version 0.3.4 dated 2025-01-17

Title: Build and Manipulate Study Cohorts Using a Common Data Model
Description: Create and manipulate study cohorts in data mapped to the Observational Medical Outcomes Partnership Common Data Model.
Author: Edward Burn [aut, cre] , Marti Catala [aut] , Nuria Mercade-Besora [aut] , Marta Alcalde-Herraiz [aut] , Mike Du [aut] , Yuchen Guo [aut] , Xihang Chen [aut] , Kim Lopez-Guell [aut] , Elin Rowlands [aut]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

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Package nda updated to version 0.2.4 with previous version 0.1.15 dated 2024-10-14

Title: Generalized Network-Based Dimensionality Reduction and Analysis
Description: Non-parametric dimensionality reduction function. Reduction with and without feature selection. Plot functions. Automated feature selections. Kosztyan et. al. (2024) <doi:10.1016/j.eswa.2023.121779>.
Author: Zsolt T. Kosztyan [aut, cre], Marcell T. Kurbucz [aut], Attila I. Katona [aut], Zahid Khan [aut]
Maintainer: Zsolt T. Kosztyan <kosztyan.zsolt@gtk.uni-pannon.hu>

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Package gibasa updated to version 1.1.2 with previous version 1.1.1 dated 2024-07-05

Title: An Alternative 'Rcpp' Wrapper of 'MeCab'
Description: A plain 'Rcpp' wrapper for 'MeCab' that can segment Chinese, Japanese, and Korean text into tokens. The main goal of this package is to provide an alternative to 'tidytext' using morphological analysis.
Author: Akiru Kato [aut, cre], Shogo Ichinose [aut], Taku Kudo [aut], Jorge Nocedal [ctb], Nippon Telegraph and Telephone Corporation [cph]
Maintainer: Akiru Kato <paithiov909@gmail.com>

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Package ColombiAPI updated to version 0.1.1 with previous version 0.1.0 dated 2025-01-09

Title: Access Colombia's Public Data via 'API-Colombia'
Description: Provides a seamless interface to access diverse public data about Colombia through the 'API-Colombia', a RESTful API. The package enables users to explore various aspects of Colombia, including general information, geography, and cultural insights. It includes five API-related functions to retrieve data on topics such as Colombia's general information, airports, departments, regions, and presidents. Additionally, 'ColombiAPI' offers a built-in function to view the datasets available within the package. The package also includes curated datasets covering Bogota air stations, business and holiday dates, public schools, Colombian coffee exports, cannabis licenses, Medellin rainfall, and malls in Bogota, making it a comprehensive tool for exploring Colombia's data. For more details on the 'API-Colombia', see <https://api-colombia.com/>.
Author: Renzo Caceres Rossi [aut, cre]
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>

Diff between ColombiAPI versions 0.1.0 dated 2025-01-09 and 0.1.1 dated 2025-02-16

 DESCRIPTION                                       |    8 +--
 MD5                                               |   50 +++++++++++-----------
 R/colombiapi-package.R                            |    2 
 R/data-documentation.R                            |    2 
 R/get_Colombia_info.R                             |    2 
 R/get_airports_list.R                             |   12 ++++-
 R/get_departments_list.R                          |    2 
 R/get_presidents_list.R                           |    2 
 R/get_regions_list.R                              |    2 
 R/utils.R                                         |    2 
 R/view_datasets.R                                 |    2 
 inst/CITATION                                     |    2 
 tests/testthat/test-Bogota_airstations_df.R       |    2 
 tests/testthat/test-Bogota_business_Date.R        |    2 
 tests/testthat/test-Bogota_holidays_Date.R        |    2 
 tests/testthat/test-Bogota_malls_tbl_df.R         |    2 
 tests/testthat/test-Cannabis_Licenses_tbl_df.R    |    2 
 tests/testthat/test-Colombia_coffee_tbl_df.R      |    2 
 tests/testthat/test-Medellin_rain_tbl_df.R        |    2 
 tests/testthat/test-Tulua_Public_Schools_tbl_df.R |    2 
 tests/testthat/test-get_Colombia_info.R           |    2 
 tests/testthat/test-get_airports_list.R           |    6 +-
 tests/testthat/test-get_departments_list.R        |    2 
 tests/testthat/test-get_presidents_list.R         |    2 
 tests/testthat/test-get_regions_list.R            |    2 
 tests/testthat/test-view_datasets.R               |    2 
 26 files changed, 64 insertions(+), 56 deletions(-)

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