Mon, 15 Sep 2025

New package VBphenoR with initial version 1.0.0
Package: VBphenoR
Title: Variational Bayes for Latent Patient Phenotypes in EHR
Version: 1.0.0
Description: Identification of Latent Patient Phenotype from Electronic Health Records (EHR) Data using Variational Bayes Gaussian Mixture Model for Latent Class Analysis and Variational Bayes regression for Biomarker level shifts, both implemented by Coordinate Ascent Variational Inference algorithms. Variational methods are used to enable Bayesian analysis of very large Electronic Health Records data. For VB GMM details see Bishop (2006,ISBN:9780-387-31073-2). For Logistic VB see Jaakkola and Jordan (2000) <doi:10.1023/A:1008932416310>.
License: MIT + file LICENCE
Encoding: UTF-8
Suggests: rmarkdown, testthat (>= 3.0.0)
Imports: stats, CholWishart, pracma, knitr, utils, dbscan, data.table, ggplot2
Depends: R (>= 3.5.0)
LazyData: true
URL: https://github.com/buckleybrian/VBphenoR, https://buckleybrian.github.io/VBphenoR/
BugReports: https://github.com/buckleybrian/VBphenoR/issues
NeedsCompilation: no
Packaged: 2025-09-10 06:57:06 UTC; buckl
Author: Brian Buckley [aut, cre, cph] , Adrian O'Hagan [aut] , Marie Galligan [aut]
Maintainer: Brian Buckley <brian.buckley.1@ucdconnect.ie>
Repository: CRAN
Date/Publication: 2025-09-15 07:40:08 UTC

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New package vaxineR with initial version 0.1.0
Package: vaxineR
Title: Vaccine Coverage and Outbreak Risk Analysis
Version: 0.1.0
Description: Provides tools to analyze vaccine coverage data and simulate potential disease outbreak scenarios. It allows users to calculate key epidemiological metrics such as the effective reproduction number (Re), outbreak probabilities, and expected infection counts based on county-level vaccination rates, disease characteristics, and vaccine effectiveness. The package includes historical kindergarten vaccination data for Florida counties and offers functions for generating summary tables, visualizations, and exporting the underlying plot data.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: dplyr, tidyr, ggplot2, scales, purrr, tibble, openxlsx
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2025-09-10 00:41:47 UTC; TopSoarer
Author: Peiyu Liu [aut, cre], Matt Hitchings [ctb], Ira Longini [ctb]
Maintainer: Peiyu Liu <pyliu0620@outlook.com>
Repository: CRAN
Date/Publication: 2025-09-15 07:30:02 UTC

More information about vaxineR at CRAN
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Package SPRT readmission to version 1.1.0 with previous version 1.0 dated 2015-04-14

Title: Sequential Probability Ratio Test (SPRT) Method
Description: Provides functions to perform the Sequential Probability Ratio Test (SPRT) for hypothesis testing in Binomial, Poisson and Normal distributions. The package allows users to specify Type I and Type II error probabilities, decision thresholds, and compare null and alternative hypotheses sequentially as data accumulate. It includes visualization tools for plotting the likelihood ratio path and decision boundaries, making it easier to interpret results. The methods are based on Wald (1945) <doi:10.1214/aoms/1177731118>, who introduced the SPRT as one of the earliest and most powerful sequential analysis techniques. This package is useful in quality control, clinical trials, and other applications requiring early decision-making.The term 'SPRT' is an abbreviation and used intentionally.
Author: Huchesh Budihal [aut, cre]
Maintainer: Huchesh Budihal <hhbudihal17@gmail.com>

This is a re-admission after prior archival of version 1.0 dated 2015-04-14

Diff between SPRT versions 1.0 dated 2015-04-14 and 1.1.0 dated 2025-09-15

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More information about SPRT at CRAN
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New package repo.data with initial version 0.1.4
Package: repo.data
Title: R Repository Data
Version: 0.1.4
Description: Retrieve metadata about packages from repositories to explore package dependencies, links between help pages, aliases, package availability on a given date, and other repository dependent outcome. This metadata can be used to help package maintainers and users to navigate changes on dependencies and with reproducibility.
License: GPL (>= 3)
URL: https://github.com/llrs/repo.data, https://llrs.github.io/repo.data/
BugReports: https://github.com/llrs/repo.data/issues
Depends: R (>= 4.5)
Imports: methods, tools, utils
Suggests: igraph (>= 2.1), knitr (>= 1.49), markdown (>= 1.13), rversions (>= 2.1), spelling (>= 2.3)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-09-09 22:54:37 UTC; lluis
Author: Lluis Revilla Sancho [aut, cre, cph]
Maintainer: Lluis Revilla Sancho <lluis.revilla@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-15 07:20:02 UTC

More information about repo.data at CRAN
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New package PeruAPIs with initial version 0.1.0
Package: PeruAPIs
Title: Access Peruvian Data via Public APIs and Curated Datasets
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Provides functions to access data from public RESTful APIs including 'Nager.Date', 'World Bank API', and 'REST Countries API', retrieving real-time or historical data related to Peru, such as holidays, economic indicators, and international demographic and geopolitical indicators. Additionally, the package includes curated datasets focused on Peru, covering topics such as administrative divisions, electoral data, demographics, biodiversity and educational classifications. The package supports reproducible research and teaching by integrating reliable international APIs and structured datasets from public, academic, and government sources. For more information on the APIs, see: 'Nager.Date' <https://date.nager.at/Api>, 'World Bank API' <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392>, and 'REST Countries API' <https://restcountries.com/>.
License: MIT + file LICENSE
Language: en
URL: https://github.com/lightbluetitan/peruapis, https://lightbluetitan.github.io/peruapis/
BugReports: https://github.com/lightbluetitan/peruapis/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: utils, httr, jsonlite, dplyr, scales, tibble
Suggests: ggplot2, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-10 01:21:05 UTC; Renzo
Author: Renzo Caceres Rossi [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-15 07:30:12 UTC

More information about PeruAPIs at CRAN
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Package penalizedSVM updated to version 1.2.0 with previous version 1.1.4 dated 2023-03-23

Title: Feature Selection SVM using Penalty Functions
Description: Support Vector Machine (SVM) classification with simultaneous feature selection using penalty functions is implemented. The smoothly clipped absolute deviation (SCAD), 'L1-norm', 'Elastic Net' ('L1-norm' and 'L2-norm') and 'Elastic SCAD' (SCAD and 'L2-norm') penalties are available. The tuning parameters can be found using either a fixed grid or a interval search.
Author: Natalia Becker [aut], Wiebke Werft [aut], Axel Benner [aut], Frederic Bertrand [cre]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

Diff between penalizedSVM versions 1.1.4 dated 2023-03-23 and 1.2.0 dated 2025-09-15

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New package lbaModel with initial version 0.2.9.2
Package: lbaModel
Title: The Linear Ballistic Accumulation Model
Version: 0.2.9.2
Date: 2025-09-10
Maintainer: Yi-Shin Lin <yishinlin001@gmail.com>
Description: Provides density, distribution and random generation functions for the Linear Ballistic Accumulation (LBA) model, a widely used choice response time model in cognitive psychology. The package supports model specifications, parameter estimation, and likelihood computation, facilitating simulation and statistical inference for LBA-based experiments. For details on the LBA model, see Brown and Heathcote (2008) <doi:10.1016/j.cogpsych.2007.12.002>.
License: GPL (>= 2)
Imports: ggdmcPrior, ggdmcModel, Rcpp (>= 1.0.7), methods
Depends: R (>= 3.3.0)
LinkingTo: Rcpp (>= 1.0.7), RcppArmadillo (>= 0.10.7.5.0), ggdmcHeaders
Suggests: testthat
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-09-10 06:05:21 UTC; yslin
Author: Yi-Shin Lin [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-15 07:30:07 UTC

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New package ineapir with initial version 0.2.5
Package: ineapir
Title: Obtaining Data Published by the National Statistics Institute
Version: 0.2.5
Description: Get open statistical data and metadata disseminated by the National Statistics Institute of Spain (INE). The functions return data frames with the requested information thanks to calls to the 'INE' API <https://www.ine.es/dyngs/DAB/index.htm?cid=1100>.
License: EUPL (== 1.2)
Encoding: UTF-8
Imports: httr, jsonlite
URL: https://github.com/es-ine/ineapir, https://es-ine.github.io/ineapir/
BugReports: https://github.com/es-ine/ineapir/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-09-10 07:21:29 UTC; U851427
Author: David Crespo [aut, cre], National Statistics Institute, INE [cph]
Maintainer: David Crespo <david.crespo.roces@ine.es>
Repository: CRAN
Date/Publication: 2025-09-15 07:40:02 UTC

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Package biometryassist updated to version 1.3.3 with previous version 1.3.2 dated 2025-09-11

Title: Functions to Assist Design and Analysis of Agronomic Experiments
Description: Provides functions to aid in the design and analysis of agronomic and agricultural experiments through easy access to documentation and helper functions, especially for users who are learning these concepts. While not required for most functionality, this package enhances the `asreml` package which provides a computationally efficient algorithm for fitting mixed models using Residual Maximum Likelihood. It is a commercial package that can be purchased as 'asreml-R' from 'VSNi' <https://vsni.co.uk/>, who will supply a zip file for local installation/updating (see <https://asreml.kb.vsni.co.uk/>).
Author: Sharon Nielsen [aut], Sam Rogers [aut, cre], Annie Conway [aut], University of Adelaide [cph, fnd] , Grains Research and Development Corporation [cph, fnd]
Maintainer: Sam Rogers <biometrytraining@adelaide.edu.au>

Diff between biometryassist versions 1.3.2 dated 2025-09-11 and 1.3.3 dated 2025-09-15

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Package TPmsm updated to version 1.2.14 with previous version 1.2.12 dated 2023-12-07

Title: Estimation of Transition Probabilities in Multistate Models
Description: Estimation of transition probabilities for the illness-death model and or the three-state progressive model.
Author: Artur Araujo [aut, cre] , Luis Meira-Machado [aut] , Javier Roca-Pardinas [aut]
Maintainer: Artur Araujo <artur.stat@gmail.com>

Diff between TPmsm versions 1.2.12 dated 2023-12-07 and 1.2.14 dated 2025-09-15

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Package riskyr updated to version 0.5.0 with previous version 0.4.0 dated 2022-08-15

Title: Rendering Risk Literacy more Transparent
Description: Risk-related information (like the prevalence of conditions, the sensitivity and specificity of diagnostic tests, or the effectiveness of interventions or treatments) can be expressed in terms of frequencies or probabilities. By providing a toolbox of corresponding metrics and representations, 'riskyr' computes, translates, and visualizes risk-related information in a variety of ways. Adopting multiple complementary perspectives provides insights into the interplay between key parameters and renders teaching and training programs on risk literacy more transparent (see <doi:10.3389/fpsyg.2020.567817>, for details).
Author: Hansjoerg Neth [aut, cre] , Felix Gaisbauer [aut] , Nico Gradwohl [aut] , Wolfgang Gaissmaier [aut]
Maintainer: Hansjoerg Neth <h.neth@uni.kn>

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Package peperr updated to version 1.6 with previous version 1.5 dated 2023-03-22

Title: Parallelised Estimation of Prediction Error
Description: Designed for prediction error estimation through resampling techniques, possibly accelerated by parallel execution on a compute cluster. Newly developed model fitting routines can be easily incorporated. Methods used in the package are detailed in Porzelius Ch., Binder H. and Schumacher M. (2009) <doi:10.1093/bioinformatics/btp062> and were used, for instance, in Porzelius Ch., Schumacher M. and Binder H. (2011) <doi:10.1007/s00180-011-0236-6>.
Author: Christine Porzelius [aut], Harald Binder [aut], Frederic Bertrand [cre]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

Diff between peperr versions 1.5 dated 2023-03-22 and 1.6 dated 2025-09-15

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Package BrazilDataAPI updated to version 0.2.0 with previous version 0.1.0 dated 2025-07-09

Title: Access Brazilian Data via APIs and Curated Datasets
Description: Provides functions to access data from the 'BrasilAPI', 'REST Countries API', 'Nager.Date API', and 'World Bank API', related to Brazil's postal codes, banks, holidays, company registrations, international country indicators, public holidays information, and economic development data. Additionally, the package includes curated datasets related to Brazil, covering topics such as demographic data (males and females by state and year), river levels, environmental emission factors, film festivals, and yellow fever outbreak records. The package supports research and analysis focused on Brazil by integrating open APIs with high-quality datasets from multiple domains. For more information on the APIs, see: 'BrasilAPI' <https://brasilapi.com.br/>, 'Nager.Date' <https://date.nager.at/Api>, 'World Bank API' <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392>, and 'REST Countries API' <https://restcountries.com/>.
Author: Renzo Caceres Rossi [aut, cre]
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>

Diff between BrazilDataAPI versions 0.1.0 dated 2025-07-09 and 0.2.0 dated 2025-09-15

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Package VMDecomp updated to version 1.0.2 with previous version 1.0.1 dated 2022-07-04

Title: Variational Mode Decomposition
Description: 'RcppArmadillo' implementation for the Matlab code of the 'Variational Mode Decomposition' and 'Two-Dimensional Variational Mode Decomposition'. For more information, see (i) 'Variational Mode Decomposition' by K. Dragomiretskiy and D. Zosso in IEEE Transactions on Signal Processing, vol. 62, no. 3, pp. 531-544, Feb.1, 2014, <doi:10.1109/TSP.2013.2288675>; (ii) 'Two-Dimensional Variational Mode Decomposition' by Dragomiretskiy, K., Zosso, D. (2015), In: Tai, XC., Bae, E., Chan, T.F., Lysaker, M. (eds) Energy Minimization Methods in Computer Vision and Pattern Recognition. EMMCVPR 2015. Lecture Notes in Computer Science, vol 8932. Springer, <doi:10.1007/978-3-319-14612-6_15>.
Author: Lampros Mouselimis [aut, cre] , Dominique Zosso [cph] , Konstantin Dragomiretskiy [cph]
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

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Package multinet updated to version 4.3 with previous version 4.2.2 dated 2025-04-08

Title: Analysis and Mining of Multilayer Social Networks
Description: Functions for the creation/generation and analysis of multilayer social networks <doi:10.18637/jss.v098.i08>.
Author: Matteo Magnani [aut, cre], Luca Rossi [aut] , Davide Vega [aut] , Obaida Hanteer [ctb]
Maintainer: Matteo Magnani <matteo.magnani@it.uu.se>

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Package KernelKnn updated to version 1.1.6 with previous version 1.1.5 dated 2023-01-06

Title: Kernel k Nearest Neighbors
Description: Extends the simple k-nearest neighbors algorithm by incorporating numerous kernel functions and a variety of distance metrics. The package takes advantage of 'RcppArmadillo' to speed up the calculation of distances between observations.
Author: Lampros Mouselimis [aut, cre] , Matthew Parks [ctb]
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

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Package here updated to version 1.0.2 with previous version 1.0.1 dated 2020-12-13

Title: A Simpler Way to Find Your Files
Description: Constructs paths to your project's files. Declare the relative path of a file within your project with 'i_am()'. Use the 'here()' function as a drop-in replacement for 'file.path()', it will always locate the files relative to your project root.
Author: Kirill Mueller [aut, cre] , Jennifer Bryan [ctb]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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