Sun, 09 Mar 2025

Package exametrika updated to version 1.5.1 with previous version 1.2.0 dated 2025-01-31

Title: Test Theory Analysis and Biclustering
Description: Implements comprehensive test data engineering methods as described in Shojima (2022, ISBN:978-9811699856). Provides statistical techniques for engineering and processing test data: Classical Test Theory (CTT) with reliability coefficients for continuous ability assessment; Item Response Theory (IRT) including Rasch, 2PL, and 3PL models with item/test information functions; Latent Class Analysis (LCA) for nominal clustering; Latent Rank Analysis (LRA) for ordinal clustering with automatic determination of cluster numbers; Biclustering methods including infinite relational models for simultaneous clustering of examinees and items without predefined cluster numbers; and Bayesian Network Models (BNM) for visualizing inter-item dependencies. Features local dependence analysis through LRA and biclustering, parameter estimation, dimensionality assessment, and network structure visualization for educational, psychological, and social science research.
Author: Koji Kosugi [aut, cre]
Maintainer: Koji Kosugi <kosugitti@gmail.com>

Diff between exametrika versions 1.2.0 dated 2025-01-31 and 1.5.1 dated 2025-03-09

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Sat, 08 Mar 2025

Package r5r updated to version 2.1.0 with previous version 2.0 dated 2024-04-11

Title: Rapid Realistic Routing with 'R5'
Description: Rapid realistic routing on multimodal transport networks (walk, bike, public transport and car) using 'R5', the Rapid Realistic Routing on Real-world and Reimagined networks engine <https://github.com/conveyal/r5>. The package allows users to generate detailed routing analysis or calculate travel time and monetary cost matrices using seamless parallel computing on top of the R5 Java machine. While R5 is developed by Conveyal, the package r5r is independently developed by a team at the Institute for Applied Economic Research (Ipea) with contributions from collaborators. Apart from the documentation in this package, users will find additional information on R5 documentation at <https://docs.conveyal.com/>. Although we try to keep new releases of r5r in synchrony with R5, the development of R5 follows Conveyal's independent update process. Hence, users should confirm the R5 version implied by the Conveyal user manual (see <https://docs.conveyal.com/changelog>) correspon [...truncated...]
Author: Marcus Saraiva [aut] , Rafael H. M. Pereira [aut, cre] , Daniel Herszenhut [aut] , Carlos Kaue Vieira Braga [aut] , Matthew Wigginton Bhagat-Conway [aut] , Luyu Liu [ctb] , Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

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Package multDM updated to version 1.1.5 with previous version 1.1.4 dated 2022-06-09

Title: Multivariate Version of the Diebold-Mariano Test
Description: Allows to perform the multivariate version of the Diebold-Mariano test for equal predictive ability of multiple forecast comparison. Main reference: Mariano, R.S., Preve, D. (2012) <doi:10.1016/j.jeconom.2012.01.014>.
Author: Krzysztof Drachal [aut, cre]
Maintainer: Krzysztof Drachal <kdrachal@wne.uw.edu.pl>

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Package leem updated to version 0.2.0 with previous version 0.1.0 dated 2022-03-02

Title: Laboratory of Teaching to Statistics and Mathematics
Description: An educational package for teaching statistics and mathematics in both primary and higher education. The objective is to assist in the teaching/learning process, both for student study planning and teacher teaching strategies. The leem package aims to provide, in a simple yet in-depth manner, knowledge of statistics and mathematics to anyone who wants to study these areas of knowledge.
Author: Ben Deivide [aut, cre] , Andre Barboza [aut] , Alexandre Celestino [ctb] , Juliane Nassarala [ctb]
Maintainer: Ben Deivide <ben.deivide@gmail.com>

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Package comparator updated to version 0.1.4 with previous version 0.1.3 dated 2025-03-06

Title: Comparison Functions for Clustering and Record Linkage
Description: Implements functions for comparing strings, sequences and numeric vectors for clustering and record linkage applications. Supported comparison functions include: generalized edit distances for comparing sequences/strings, Monge-Elkan similarity for fuzzy comparison of token sets, and L-p distances for comparing numeric vectors. Where possible, comparison functions are implemented in C/C++ to ensure good performance.
Author: Neil Marchant [aut, cre]
Maintainer: Neil Marchant <ngmarchant@gmail.com>

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Package blocklength updated to version 0.2.2 with previous version 0.2.1 dated 2025-03-08

Title: Select an Optimal Block-Length to Bootstrap Dependent Data (Block Bootstrap)
Description: A set of functions to select the optimal block-length for a dependent bootstrap (block-bootstrap). Includes the Hall, Horowitz, and Jing (1995) <doi:10.1093/biomet/82.3.561> subsampling-based cross-validation method, the Politis and White (2004) <doi:10.1081/ETC-120028836> Spectral Density Plug-in method, including the Patton, Politis, and White (2009) <doi:10.1080/07474930802459016> correction, and the Lahiri, Furukawa, and Lee (2007) <doi:10.1016/j.stamet.2006.08.002> nonparametric plug-in method, with a corresponding set of S3 plot methods.
Author: Alec Stashevsky [aut, cre] , Sergio Armella [ctb]
Maintainer: Alec Stashevsky <alec@alecstashevsky.com>

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Package blocklength updated to version 0.2.1 with previous version 0.2.0 dated 2025-02-17

Title: Select an Optimal Block-Length to Bootstrap Dependent Data (Block Bootstrap)
Description: A set of functions to select the optimal block-length for a dependent bootstrap (block-bootstrap). Includes the Hall, Horowitz, and Jing (1995) <doi:10.1093/biomet/82.3.561> subsampling-based cross-validation method, the Politis and White (2004) <doi:10.1081/ETC-120028836> Spectral Density Plug-in method, including the Patton, Politis, and White (2009) <doi:10.1080/07474930802459016> correction, and the Lahiri, Furukawa, and Lee (2007) <doi:10.1016/j.stamet.2006.08.002> nonparametric plug-in method, with a corresponding set of S3 plot methods.
Author: Alec Stashevsky [aut, cre] , Sergio Armella [ctb]
Maintainer: Alec Stashevsky <alec@alecstashevsky.com>

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Package survPen updated to version 2.0.2 with previous version 2.0.1 dated 2025-01-21

Title: Multidimensional Penalized Splines for (Excess) Hazard Models, Relative Mortality Ratio Models and Marginal Intensity Models
Description: Fits (excess) hazard, relative mortality ratio or marginal intensity models with multidimensional penalized splines allowing for time-dependent effects, non-linear effects and interactions between several continuous covariates. In survival and net survival analysis, in addition to modelling the effect of time (via the baseline hazard), one has often to deal with several continuous covariates and model their functional forms, their time-dependent effects, and their interactions. Model specification becomes therefore a complex problem and penalized regression splines represent an appealing solution to that problem as splines offer the required flexibility while penalization limits overfitting issues. Current implementations of penalized survival models can be slow or unstable and sometimes lack some key features like taking into account expected mortality to provide net survival and excess hazard estimates. In contrast, survPen provides an automated, fast, and stable implementation (than [...truncated...]
Author: Mathieu Fauvernier [aut, cre], Laurent Roche [aut], Laurent Remontet [aut], Zoe Uhry [ctb], Nadine Bossard [ctb], Elsa Coz [ctb]
Maintainer: Mathieu Fauvernier <mathieu.fauvernier@gmail.com>

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Package harmonydata updated to version 0.2.1 with previous version 0.1.1 dated 2023-10-19

Title: R Library for 'Harmony'
Description: 'Harmony' is a tool using AI which allows you to compare items from questionnaires and identify similar content. You can try 'Harmony' at <https://harmonydata.ac.uk/app/> and you can read our blog at <https://harmonydata.ac.uk/blog/> or at <https://fastdatascience.com/how-does-harmony-work/>. Documentation at <https://harmonydata.ac.uk/harmony-r-released/>.
Author: Omar Hassoun [aut, cre], Thomas Wood [ctb], Alex, Nikic [ctb], Ulster University [cph]
Maintainer: Omar Hassoun <omtarful@gmail.com>

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Package RcppTOML updated to version 0.2.3 with previous version 0.2.2 dated 2023-01-29

Title: 'Rcpp' Bindings to Parser for "Tom's Obvious Markup Language"
Description: The configuration format defined by 'TOML' (which expands to "Tom's Obvious Markup Language") specifies an excellent format (described at <https://toml.io/en/>) suitable for both human editing as well as the common uses of a machine-readable format. This package uses 'Rcpp' to connect to the 'toml++' parser written by Mark Gillard to R.
Author: Dirk Eddelbuettel [aut, cre] , Mark Gillard [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package scRNAstat updated to version 0.1.1.1 with previous version 0.1.1 dated 2021-09-22

Title: A Pipeline to Process Single Cell RNAseq Data
Description: A pipeline that can process single or multiple Single Cell RNAseq samples primarily specializes in Clustering and Dimensionality Reduction. Meanwhile we use common cell type marker genes for T cells, B cells, Myeloid cells, Epithelial cells, and stromal cells (Fiboblast, Endothelial cells, Pericyte, Smooth muscle cells) to visualize the Seurat clusters, to facilitate labeling them by biological names. Once users named each cluster, they can evaluate the quality of them again and find the de novo marker genes also.
Author: Jianming Zeng [aut], Yonghe Xia [ctb, cre], Biotrainee group [cph, fnd]
Maintainer: Yonghe Xia <xiayh17@gmail.com>

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Package mixtools updated to version 2.0.0.1 with previous version 2.0.0 dated 2022-12-05

Title: Tools for Analyzing Finite Mixture Models
Description: Analyzes finite mixture models for various parametric and semiparametric settings. This includes mixtures of parametric distributions (normal, multivariate normal, multinomial, gamma), various Reliability Mixture Models (RMMs), mixtures-of-regressions settings (linear regression, logistic regression, Poisson regression, linear regression with changepoints, predictor-dependent mixing proportions, random effects regressions, hierarchical mixtures-of-experts), and tools for selecting the number of components (bootstrapping the likelihood ratio test statistic, mixturegrams, and model selection criteria). Bayesian estimation of mixtures-of-linear-regressions models is available as well as a novel data depth method for obtaining credible bands. This package is based upon work supported by the National Science Foundation under Grant No. SES-0518772 and the Chan Zuckerberg Initiative: Essential Open Source Software for Science (Grant No. 2020-255193).
Author: Derek Young [aut, cre] , Tatiana Benaglia [aut], Didier Chauveau [aut], David Hunter [aut], Kedai Cheng [aut], Ryan Elmore [ctb], Thomas Hettmansperger [ctb], Hoben Thomas [ctb], Fengjuan Xuan [ctb]
Maintainer: Derek Young <derek.young@uky.edu>

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Package IncidencePrevalence updated to version 1.2.0 with previous version 1.1.0 dated 2025-02-20

Title: Estimate Incidence and Prevalence using the OMOP Common Data Model
Description: Calculate incidence and prevalence using data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. Incidence and prevalence can be estimated for the total population in a database or for a stratification cohort.
Author: Edward Burn [aut, cre] , Berta Raventos [aut] , Marti Catala [aut] , Mike Du [ctb] , Yuchen Guo [ctb] , Adam Black [ctb] , Ger Inberg [ctb] , Kim Lopez [ctb]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

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Package hmmr updated to version 1.0-0.1 with previous version 1.0-0 dated 2021-05-27

Title: "Mixture and Hidden Markov Models with R" Datasets and Example Code
Description: Datasets and code examples that accompany our book Visser & Speekenbrink (2021), "Mixture and Hidden Markov Models with R", <https://depmix.github.io/hmmr/>.
Author: Ingmar Visser [aut, cre], Maarten Speekenbrink [aut]
Maintainer: Ingmar Visser <i.visser@uva.nl>

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Package fields updated to version 16.3.1 with previous version 16.3 dated 2024-09-30

Title: Tools for Spatial Data
Description: For curve, surface and function fitting with an emphasis on splines, spatial data, geostatistics, and spatial statistics. The major methods include cubic, and thin plate splines, Kriging, and compactly supported covariance functions for large data sets. The splines and Kriging methods are supported by functions that can determine the smoothing parameter (nugget and sill variance) and other covariance function parameters by cross validation and also by restricted maximum likelihood. For Kriging there is an easy to use function that also estimates the correlation scale (range parameter). A major feature is that any covariance function implemented in R and following a simple format can be used for spatial prediction. There are also many useful functions for plotting and working with spatial data as images. This package also contains an implementation of sparse matrix methods for large spatial data sets and currently requires the sparse matrix (spam) package. Use help(fields) to get star [...truncated...]
Author: Douglas Nychka [aut, cre], Reinhard Furrer [aut], John Paige [aut], Stephan Sain [aut], Florian Gerber [aut], Matthew Iverson [aut], Rider Johnson [aut]
Maintainer: Douglas Nychka <douglasnychka@gmail.com>

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Package DGP4LCF updated to version 1.0.0.1 with previous version 1.0.0 dated 2024-05-28

Title: Dependent Gaussian Processes for Longitudinal Correlated Factors
Description: Functionalities for analyzing high-dimensional and longitudinal biomarker data to facilitate precision medicine, using a joint model of Bayesian sparse factor analysis and dependent Gaussian processes. This paper illustrates the method in detail: J Cai, RJB Goudie, C Starr, BDM Tom (2023) <doi:10.48550/arXiv.2307.02781>.
Author: Jiachen Cai [aut, cre]
Maintainer: Jiachen Cai <jiachen.cai@mrc-bsu.cam.ac.uk>

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Package httr2 updated to version 1.1.1 with previous version 1.1.0 dated 2025-01-18

Title: Perform HTTP Requests and Process the Responses
Description: Tools for creating and modifying HTTP requests, then performing them and processing the results. 'httr2' is a modern re-imagining of 'httr' that uses a pipe-based interface and solves more of the problems that API wrapping packages face.
Author: Hadley Wickham [aut, cre], Posit Software, PBC [cph, fnd], Maximilian Girlich [ctb]
Maintainer: Hadley Wickham <hadley@posit.co>

Diff between httr2 versions 1.1.0 dated 2025-01-18 and 1.1.1 dated 2025-03-08

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Package clinDataReview (with last version 1.6.1) was removed from CRAN

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

2024-06-18 1.6.1
2024-06-13 1.6.0
2024-05-17 1.5.2
2024-04-24 1.5.1
2023-12-11 1.5.0

Permanent link
Package TEAM (with last version 0.1.0) was removed from CRAN

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

2019-09-13 0.1.0

Permanent link
Package TT (with last version 0.98) was removed from CRAN

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

2022-04-05 0.98
2022-01-10 0.92

Permanent link

Fri, 07 Mar 2025

Package Qval updated to version 1.2.0 with previous version 1.1.1 dated 2025-01-09

Title: The Q-Matrix Validation Methods Framework
Description: Provide a variety of Q-matrix validation methods for the generalized cognitive diagnosis models, including the method based on the generalized deterministic input, noisy, and gate model (G-DINA) by de la Torre (2011) <DOI:10.1007/s11336-011-9207-7> discrimination index (the GDI method) by de la Torre and Chiu (2016) <DOI:10.1007/s11336-015-9467-8>, the step-wise Wald test method (the Wald method) by Ma and de la Torre (2020) <DOI:10.1111/bmsp.12156>, the Hull method by Najera et al. (2021) <DOI:10.1111/bmsp.12228>, the multiple logistic regression‑based Q‑matrix validation method (the MLR-B method) by Tu et al. (2022) <DOI:10.3758/s13428-022-01880-x>, the beta method based on signal detection theory by Li and Chen (2024) <DOI:10.1111/bmsp.12371> and Q-matrix validation based on relative fit index by Chen et la. (2013) <DOI:10.1111/j.1745-3984.2012.00185.x>. Different research methods and iterative procedures during Q-matrix validating are avai [...truncated...]
Author: Haijiang Qin [aut, cre, cph] , Lei Guo [aut, cph]
Maintainer: Haijiang Qin <haijiang133@outlook.com>

Diff between Qval versions 1.1.1 dated 2025-01-09 and 1.2.0 dated 2025-03-07

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Package msdrought updated to version 0.1.1 with previous version 0.1.0 dated 2024-05-27

Title: Seasonal Mid-Summer Drought Characteristics
Description: Characterization of a mid-summer drought (MSD) with precipitation based statistics. The MSD is a phenomenon of decreased rainfall during a typical rainy season. It is a feature of rainfall in much of Central America and is also found in other locations, typically those with a Mediterranean climate. Details on the metrics are in Maurer et al. (2022) <doi:10.5194/hess-26-1425-2022>.
Author: Turner Uyeda [aut], Ed Maurer [aut, cre, cph], Iris Stewart-Frey [aut], Kenneth Joseph [aut], Alex Avila [aut]
Maintainer: Ed Maurer <emaurer@scu.edu>

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Package mrbin updated to version 1.9.0 with previous version 1.8.0 dated 2024-12-04

Title: Metabolomics Data Analysis Functions
Description: A collection of functions for processing and analyzing metabolite data. The namesake function mrbin() converts 1D or 2D Nuclear Magnetic Resonance data into a matrix of values suitable for further data analysis and performs basic processing steps in a reproducible way. Negative values, a common issue in such data, can be replaced by positive values (<doi:10.1021/acs.jproteome.0c00684>). All used parameters are stored in a readable text file and can be restored from that file to enable exact reproduction of the data at a later time. The function fia() ranks features according to their impact on classifier models, especially artificial neural network models.
Author: Matthias Klein [aut, cre]
Maintainer: Matthias Klein <matthias.s.klein@gmx.net>

Diff between mrbin versions 1.8.0 dated 2024-12-04 and 1.9.0 dated 2025-03-07

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Package units updated to version 0.8-6 with previous version 0.8-5 dated 2023-11-28

Title: Measurement Units for R Vectors
Description: Support for measurement units in R vectors, matrices and arrays: automatic propagation, conversion, derivation and simplification of units; raising errors in case of unit incompatibility. Compatible with the POSIXct, Date and difftime classes. Uses the UNIDATA udunits library and unit database for unit compatibility checking and conversion. Documentation about 'units' is provided in the paper by Pebesma, Mailund & Hiebert (2016, <doi:10.32614/RJ-2016-061>), included in this package as a vignette; see 'citation("units")' for details.
Author: Edzer Pebesma [aut, cre] , Thomas Mailund [aut], Tomasz Kalinowski [aut], James Hiebert [ctb], Inaki Ucar [aut] , Thomas Lin Pedersen [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between units versions 0.8-5 dated 2023-11-28 and 0.8-6 dated 2025-03-07

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Package tidyllm updated to version 0.3.2 with previous version 0.3.1 dated 2025-02-24

Title: Tidy Integration of Large Language Models
Description: A tidy interface for integrating large language model (LLM) APIs such as 'Claude', 'Openai', 'Groq','Mistral' and local models via 'Ollama' into R workflows. The package supports text and media-based interactions, interactive message history, batch request APIs, and a tidy, pipeline-oriented interface for streamlined integration into data workflows. Web services are available at <https://www.anthropic.com>, <https://openai.com>, <https://groq.com>, <https://mistral.ai/> and <https://ollama.com>.
Author: Eduard Bruell [aut, cre], Jia Zhang [ctb]
Maintainer: Eduard Bruell <eduard.bruell@zew.de>

Diff between tidyllm versions 0.3.1 dated 2025-02-24 and 0.3.2 dated 2025-03-07

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Package edgar updated to version 2.0.8 with previous version 2.0.7 dated 2023-10-14

Title: Tool for the U.S. SEC EDGAR Retrieval and Parsing of Corporate Filings
Description: In the USA, companies file different forms with the U.S. Securities and Exchange Commission (SEC) through EDGAR (Electronic Data Gathering, Analysis, and Retrieval system). The EDGAR database automated system collects all the different necessary filings and makes it publicly available. This package facilitates retrieving, storing, searching, and parsing of all the available filings on the EDGAR server. It downloads filings from SEC server in bulk with a single query. Additionally, it provides various useful functions: extracts 8-K triggering events, extract "Business (Item 1)" and "Management's Discussion and Analysis(Item 7)" sections of annual statements, searches filings for desired keywords, provides sentiment measures, parses filing header information, and provides HTML view of SEC filings.
Author: Gunratan Lonare [aut, cre], Bharat Patil [aut]
Maintainer: Gunratan Lonare <lonare.gunratan@gmail.com>

Diff between edgar versions 2.0.7 dated 2023-10-14 and 2.0.8 dated 2025-03-07

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Package BayesfMRI updated to version 0.10.1 with previous version 0.3.11 dated 2023-12-18

Title: Spatial Bayesian Methods for Task Functional MRI Studies
Description: Performs a spatial Bayesian general linear model (GLM) for task functional magnetic resonance imaging (fMRI) data on the cortical surface. Additional models include group analysis and inference to detect thresholded areas of activation. Includes direct support for the 'CIFTI' neuroimaging file format. For more information see A. F. Mejia, Y. R. Yue, D. Bolin, F. Lindgren, M. A. Lindquist (2020) <doi:10.1080/01621459.2019.1611582> and D. Spencer, Y. R. Yue, D. Bolin, S. Ryan, A. F. Mejia (2022) <doi:10.1016/j.neuroimage.2022.118908>.
Author: Amanda Mejia [aut, cre], Damon Pham [ctb] , David Bolin [ctb], Yu Yue [ctb], Daniel Spencer [aut] , Sarah Ryan [ctb]
Maintainer: Amanda Mejia <mandy.mejia@gmail.com>

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Package stortingscrape updated to version 0.4.0 with previous version 0.3.0 dated 2024-01-18

Title: Access Data from the Norwegian Parliament API
Description: Functions for retrieving general and specific data from the Norwegian Parliament, through the Norwegian Parliament API at <https://data.stortinget.no>.
Author: Martin Soeyland [aut, cre]
Maintainer: Martin Soeyland <martin.soyland@stv.uio.no>

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Package tidyplots updated to version 0.2.2 with previous version 0.2.1 dated 2025-01-19

Title: Tidy Plots for Scientific Papers
Description: The goal of 'tidyplots' is to streamline the creation of publication-ready plots for scientific papers. It allows to gradually add, remove and adjust plot components using a consistent and intuitive syntax.
Author: Jan Broder Engler [aut, cre, cph]
Maintainer: Jan Broder Engler <broder.engler@gmail.com>

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Package pEPA updated to version 1.2 with previous version 1.0 dated 2024-07-09

Title: Tests of Equal Predictive Accuracy for Panels of Forecasts
Description: Allows to perform the tests of equal predictive accuracy for panels of forecasts. Main references: Qu et al. (2024) <doi:10.1016/j.ijforecast.2023.08.001> and Akgun et al. (2024) <doi:10.1016/j.ijforecast.2023.02.001>.
Author: Krzysztof Drachal [aut, cre]
Maintainer: Krzysztof Drachal <kdrachal@wne.uw.edu.pl>

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Package ieegio updated to version 0.0.4 with previous version 0.0.3 dated 2025-01-13

Title: File IO for Intracranial Electroencephalography
Description: Integrated toolbox supporting common file formats used for intracranial Electroencephalography (iEEG) and deep-brain stimulation (DBS) study.
Author: Zhengjia Wang [aut, cre]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package gimap updated to version 1.0.3 with previous version 1.0.2 dated 2025-02-18

Title: Calculate Genetic Interactions for Paired CRISPR Targets
Description: Helps find meaningful patterns in complex genetic experiments. First gimap takes data from paired CRISPR (Clustered regularly interspaced short palindromic repeats) screens that has been pre-processed to counts table of paired gRNA (guide Ribonucleic Acid) reads. The input data will have cell counts for how well cells grow (or don't grow) when different genes or pairs of genes are disabled. The output of the 'gimap' package is genetic interaction scores which are the distance between the observed CRISPR score and the expected CRISPR score. The expected CRISPR scores are what we expect for the CRISPR values to be for two unrelated genes. The further away an observed CRISPR score is from its expected score the more we suspect genetic interaction. The work in this package is based off of original research from the Alice Berger lab at Fred Hutchinson Cancer Center (2021) <doi:10.1016/j.celrep.2021.109597>.
Author: Candace Savonen [aut, cre], Phoebe Parrish [aut], Kate Isaac [aut], Howard Baek [aut], Daniel Grosso [aut], Siobhan O'Brien [aut], Alice Berger [aut]
Maintainer: Candace Savonen <cansav09@gmail.com>

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Package qs2 updated to version 0.1.5 with previous version 0.1.4 dated 2024-12-12

Title: Efficient Serialization of R Objects
Description: Streamlines and accelerates the process of saving and loading R objects, improving speed and compression compared to other methods. The package provides two compression formats: the 'qs2' format, which uses R serialization via the C API while optimizing compression and disk I/O, and the 'qdata' format, featuring custom serialization for slightly faster performance and better compression. Additionally, the 'qs2' format can be directly converted to the standard 'RDS' format, ensuring long-term compatibility with future versions of R.
Author: Travers Ching [aut, cre, cph], Yann Collet [ctb, cph] , Facebook, Inc. [cph] , Reichardt Tino [ctb, cph] , Skibinski Przemyslaw [ctb, cph] , Mori Yuta [ctb, cph] , Francesc Alted [ctb, cph]
Maintainer: Travers Ching <traversc@gmail.com>

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Package pals updated to version 1.10 with previous version 1.9 dated 2024-07-16

Title: Color Palettes, Colormaps, and Tools to Evaluate Them
Description: A comprehensive collection of color palettes, colormaps, and tools to evaluate them. See Kovesi (2015) <doi:10.48550/arXiv.1509.03700>.
Author: Kevin Wright [aut, cre, cph]
Maintainer: Kevin Wright <kw.stat@gmail.com>

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Package MSCquartets updated to version 3.1 with previous version 3.0 dated 2024-10-30

Title: Analyzing Gene Tree Quartets under the Multi-Species Coalescent
Description: Methods for analyzing and using quartets displayed on a collection of gene trees, primarily to make inferences about the species tree or network under the multi-species coalescent model. These include quartet hypothesis tests for the model, as developed by Mitchell et al. (2019) <doi:10.1214/19-EJS1576>, simplex plots of quartet concordance factors as presented by Allman et al. (2020) <doi:10.1101/2020.02.13.948083>, species tree inference methods based on quartet distances of Rhodes (2019) <doi:10.1109/TCBB.2019.2917204> and Yourdkhani and Rhodes (2019) <doi:10.1007/s11538-020-00773-4>, the NANUQ algorithm for inference of level-1 species networks of Allman et al. (2019) <doi:10.1186/s13015-019-0159-2>, the TINNIK algorithm for inference of the tree of blobs of an arbitrary network of Allman et al.(2022) <doi:10.1007/s00285-022-01838-9>, and NANUQ+ routines for resolving multifurcations in the tree of blobs to cycles as in Allman et al.(2024) (forth [...truncated...]
Author: Elizabeth Allman [aut], Hector Banos [aut], Jonathan Mitchell [aut], Kristina Wicke [aut], John Rhodes [aut, cre]
Maintainer: John Rhodes <j.rhodes@alaska.edu>

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Package mlr3pipelines updated to version 0.7.2 with previous version 0.7.1 dated 2024-11-14

Title: Preprocessing Operators and Pipelines for 'mlr3'
Description: Dataflow programming toolkit that enriches 'mlr3' with a diverse set of pipelining operators ('PipeOps') that can be composed into graphs. Operations exist for data preprocessing, model fitting, and ensemble learning. Graphs can themselves be treated as 'mlr3' 'Learners' and can therefore be resampled, benchmarked, and tuned.
Author: Martin Binder [aut, cre], Florian Pfisterer [aut] , Lennart Schneider [aut] , Bernd Bischl [aut] , Michel Lang [aut] , Sebastian Fischer [aut] , Susanne Dandl [aut], Keno Mersmann [ctb], Maximilian Muecke [ctb] , Lona Koers [ctb]
Maintainer: Martin Binder <mlr.developer@mb706.com>

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Package isotracer updated to version 1.1.8 with previous version 1.1.7 dated 2024-11-04

Title: Isotopic Tracer Analysis Using MCMC
Description: Implements Bayesian models to analyze data from tracer addition experiments. The implemented method was originally described in the article "A New Method to Reconstruct Quantitative Food Webs and Nutrient Flows from Isotope Tracer Addition Experiments" by López-Sepulcre et al. (2020) <doi:10.1086/708546>.
Author: Andres Lopez-Sepulcre [aut] , Matthieu Bruneaux [aut, cre]
Maintainer: Matthieu Bruneaux <matthieu.bruneaux@gmail.com>

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Package BayesianMCPMod updated to version 1.1.0 with previous version 1.0.2 dated 2025-02-06

Title: Simulate, Evaluate, and Analyze Dose Finding Trials with Bayesian MCPMod
Description: Bayesian MCPMod (Fleischer et al. (2022) <doi:10.1002/pst.2193>) is an innovative method that improves the traditional MCPMod by systematically incorporating historical data, such as previous placebo group data. This R package offers functions for simulating, analyzing, and evaluating Bayesian MCPMod trials with normally distributed endpoints. It enables the assessment of trial designs incorporating historical data across various true dose-response relationships and sample sizes. Robust mixture prior distributions, such as those derived with the Meta-Analytic-Predictive approach (Schmidli et al. (2014) <doi:10.1111/biom.12242>), can be specified for each dose group. Resulting mixture posterior distributions are used in the Bayesian Multiple Comparison Procedure and modeling steps. The modeling step also includes a weighted model averaging approach (Pinheiro et al. (2014) <doi:10.1002/sim.6052>). Estimated dose-response relationships can be bootstrapped and visualiz [...truncated...]
Author: Boehringer Ingelheim Pharma GmbH & Co. KG [cph, fnd], Stephan Wojciekowski [aut, cre], Lars Andersen [aut], Jonas Schick [ctb], Sebastian Bossert [aut]
Maintainer: Stephan Wojciekowski <stephan.wojciekowski@boehringer-ingelheim.com>

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Package TukeyC (with last version 1.3-42) was removed from CRAN

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

2023-08-31 1.3-42
2023-06-22 1.3-41
2021-10-28 1.3-4
2019-01-16 1.3-3
2018-01-13 1.3-0
2014-08-18 1.1-5
2013-11-22 1.1-4
2012-10-08 1.1-0
2012-06-26 1.0-7
2012-06-22 1.0-6

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Package readxl updated to version 1.4.5 with previous version 1.4.4 dated 2025-02-27

Title: Read Excel Files
Description: Import excel files into R. Supports '.xls' via the embedded 'libxls' C library <https://github.com/libxls/libxls> and '.xlsx' via the embedded 'RapidXML' C++ library <https://rapidxml.sourceforge.net/>. Works on Windows, Mac and Linux without external dependencies.
Author: Hadley Wickham [aut] , Jennifer Bryan [aut, cre] , Posit, PBC [cph, fnd] , Marcin Kalicinski [ctb, cph] , Komarov Valery [ctb, cph] , Christophe Leitienne [ctb, cph] , Bob Colbert [ctb, cph] , David Hoerl [ctb, cph] , Evan Miller [ctb, cph]
Maintainer: Jennifer Bryan <jenny@posit.co>

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Package messydates updated to version 0.5.2 with previous version 0.4.1 dated 2024-04-19

Title: A Flexible Class for Messy Dates
Description: Contains a set of tools for constructing and coercing into and from the "mdate" class. This date class implements ISO 8601-2:2019(E) and allows regular dates to be annotated to express unspecified date components, approximate or uncertain date components, date ranges, and sets of dates. This is useful for describing and analysing temporal information, whether historical or recent, where date precision may vary.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb] , Jael Tan [ctb] , Nathan Werth [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package adbcdrivermanager updated to version 0.17.0 with previous version 0.16.0 dated 2025-01-22

Title: 'Arrow' Database Connectivity ('ADBC') Driver Manager
Description: Provides a developer-facing interface to 'Arrow' Database Connectivity ('ADBC') for the purposes of driver development, driver testing, and building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

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More information about adbcdrivermanager at CRAN
Permanent link

New package SerolyzeR with initial version 1.0.0
Package: SerolyzeR
Title: Reading, Quality Control and Preprocessing of MBA (Multiplex Bead Assay) Data
Description: Speeds up the process of loading raw data from MBA (Multiplex Bead Assay) examinations, performs quality control checks, and automatically normalises the data, preparing it for more advanced, downstream tasks. The main objective of the package is to create a simple environment for a user, who does not necessarily have experience with R language. The package is developed within the project 'PvSTATEM', which is an international project aiming for malaria elimination.
BugReports: https://github.com/mini-pw/SerolyzeR/issues
Version: 1.0.0
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
Imports: dplyr, ggplot2, nplr, R6, readr, readxl, stringi, stringr, grid, png, tools, ggrepel, lubridate, R.utils, svglite, fs, scales
Suggests: knitr, qpdf, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/mini-pw/SerolyzeR, https://mini-pw.github.io/SerolyzeR/
NeedsCompilation: no
Packaged: 2025-03-06 17:29:30 UTC; tymot
Author: Tymoteusz Kwiecinski [aut, cre] , Jakub Grzywaczewski [aut], Mateusz Nizwantowski [aut], Przemyslaw Biecek [ths] , Nuno Sepulveda [ths]
Maintainer: Tymoteusz Kwiecinski <tymoteuszkwiecinski@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-07 16:40:02 UTC

More information about SerolyzeR at CRAN
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Package RcppSimdJson updated to version 0.1.13 with previous version 0.1.12 dated 2024-07-07

Title: 'Rcpp' Bindings for the 'simdjson' Header-Only Library for 'JSON' Parsing
Description: The 'JSON' format is ubiquitous for data interchange, and the 'simdjson' library written by Daniel Lemire (and many contributors) provides a high-performance parser for these files which by relying on parallel 'SIMD' instruction manages to parse these files as faster than disk speed. See the <doi:10.48550/arXiv.1902.08318> paper for more details about 'simdjson'. This package parses 'JSON' from string, file, or remote URLs under a variety of settings.
Author: Dirk Eddelbuettel [aut, cre] , Brendan Knapp [aut] , Daniel Lemire [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppSimdJson versions 0.1.12 dated 2024-07-07 and 0.1.13 dated 2025-03-07

 RcppSimdJson-0.1.12/RcppSimdJson/demo                                             |only
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 RcppSimdJson-0.1.13/RcppSimdJson/inst/include/simdjson.cpp                        |  394 
 RcppSimdJson-0.1.13/RcppSimdJson/inst/include/simdjson.h                          |16307 ++++++----
 11 files changed, 11093 insertions(+), 5725 deletions(-)

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New package prmisc with initial version 0.0.3
Package: prmisc
Title: Miscellaneous Printing of Numeric and Statistical Output in R Markdown and Quarto Documents
Version: 0.0.3
Author: Martin Papenberg [aut, cre] , Juliane V. Nagel [aut]
Description: Miscellaneous printing of numeric or statistical results in R Markdown or Quarto documents according to guidelines of the "Publication Manual" of the American Psychological Association (2020, ISBN: 978-1-4338-3215-4). These guidelines are usually referred to as APA style (<https://apastyle.apa.org/>) and include specific rules on the formatting of numbers and statistical test results. APA style has to be implemented when submitting scientific reports in a wide range of research fields, especially in the social sciences. The default output of numbers in the R console or R Markdown and Quarto documents does not meet the APA style requirements, and reformatting results manually can be cumbersome and error-prone. This package covers the automatic conversion of R objects to textual representations that meet the APA style requirements, which can be included in R Markdown or Quarto documents. It covers some basic statistical tests (t-test, ANOVA, correlation, chi-squared test, Wilcoxon [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/m-Py/prmisc
BugReports: https://github.com/m-Py/prmisc/issues
Depends: R (>= 3.0.0)
Suggests: afex, effectsize, knitr, rmarkdown, spgs
VignetteBuilder: knitr, rmarkdown
Encoding: UTF-8
LazyLoad: yes
NeedsCompilation: no
Packaged: 2025-03-06 09:01:48 UTC; martin
Maintainer: Martin Papenberg <martin.papenberg@hhu.de>
Repository: CRAN
Date/Publication: 2025-03-07 16:20:02 UTC

More information about prmisc at CRAN
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Package Luminescence updated to version 1.0.1 with previous version 1.0.0 dated 2025-02-21

Title: Comprehensive Luminescence Dating Data Analysis
Description: A collection of various R functions for the purpose of Luminescence dating data analysis. This includes, amongst others, data import, export, application of age models, curve deconvolution, sequence analysis and plotting of equivalent dose distributions.
Author: Sebastian Kreutzer [aut, trl, cre, dtc] , Christoph Burow [aut, trl, dtc] , Michael Dietze [aut] , Margret C. Fuchs [aut] , Christoph Schmidt [aut] , Manfred Fischer [aut, trl], Johannes Friedrich [aut] , Norbert Mercier [aut] , Rachel K. Smedley [ct [...truncated...]
Maintainer: Sebastian Kreutzer <maintainer_luminescence@r-luminescence.org>

Diff between Luminescence versions 1.0.0 dated 2025-02-21 and 1.0.1 dated 2025-03-07

 DESCRIPTION                                     |    8 
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Package ibawds updated to version 1.1.0 with previous version 1.0.0 dated 2024-09-30

Title: Functions and Datasets for the Data Science Course at IBAW
Description: A collection of useful functions and datasets for the Data Science Course at IBAW.
Author: Stefan Lanz [aut, cre]
Maintainer: Stefan Lanz <slanz1137@gmail.com>

Diff between ibawds versions 1.0.0 dated 2024-09-30 and 1.1.0 dated 2025-03-07

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Package grates updated to version 1.4.2 with previous version 1.4.1 dated 2025-02-05

Title: Grouped Date Classes
Description: Provides a coherent interface and implementation for creating grouped date classes.
Author: Tim Taylor [aut, cre]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

Diff between grates versions 1.4.1 dated 2025-02-05 and 1.4.2 dated 2025-03-07

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Package GGIRread updated to version 1.0.3 with previous version 1.0.2 dated 2024-10-25

Title: Wearable Accelerometer Data File Readers
Description: Reads data collected from wearable acceleratometers as used in sleep and physical activity research. Currently supports file formats: binary data from 'GENEActiv' <https://activinsights.com/>, .bin-format from GENEA devices (not for sale), and .cwa-format from 'Axivity' <https://axivity.com>. Further, it has functions for reading text files with epoch level aggregates from 'Actical', 'Fitbit', 'Actiwatch', 'ActiGraph', and 'PhilipsHealthBand'. Primarily designed to complement R package GGIR <https://CRAN.R-project.org/package=GGIR>.
Author: Vincent T van Hees [aut, cre], Patrick Bos [aut] , Lena Kushleyeva [ctb], Jing Hua Zhao [ctb], Evgeny Mirkes [ctb], Dan Jackson [ctb], Jairo H Migueles [ctb], Medical Research Council UK [cph, fnd], Accelting [cph, fnd]
Maintainer: Vincent T van Hees <v.vanhees@accelting.com>

Diff between GGIRread versions 1.0.2 dated 2024-10-25 and 1.0.3 dated 2025-03-07

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Package EGAnet updated to version 2.2.0 with previous version 2.1.0 dated 2024-11-09

Title: Exploratory Graph Analysis – a Framework for Estimating the Number of Dimensions in Multivariate Data using Network Psychometrics
Description: Implements the Exploratory Graph Analysis (EGA) framework for dimensionality and psychometric assessment. EGA estimates the number of dimensions in psychological data using network estimation methods and community detection algorithms. A bootstrap method is provided to assess the stability of dimensions and items. Fit is evaluated using the Entropy Fit family of indices. Unique Variable Analysis evaluates the extent to which items are locally dependent (or redundant). Network loadings provide similar information to factor loadings and can be used to compute network scores. A bootstrap and permutation approach are available to assess configural and metric invariance. Hierarchical structures can be detected using Hierarchical EGA. Time series and intensive longitudinal data can be analyzed using Dynamic EGA, supporting individual, group, and population level assessments.
Author: Hudson Golino [aut, cre] , Alexander Christensen [aut] , Robert Moulder [ctb] , Luis E. Garrido [ctb] , Laura Jamison [ctb] , Dingjing Shi [ctb]
Maintainer: Hudson Golino <hfg9s@virginia.edu>

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New package Certara.DarwinReporter with initial version 2.0.1
Package: Certara.DarwinReporter
Title: Data Visualization Utilities for 'pyDarwin' Machine Learning Pharmacometric Model Development
Version: 2.0.1
Description: Utilize the 'shiny' interface for visualizing results from a 'pyDarwin' (<https://certara.github.io/pyDarwin/>) machine learning pharmacometric model search. It generates Goodness-of-Fit plots and summary tables for selected models, allowing users to customize diagnostic outputs within the interface. The underlying R code for generating plots and tables can be extracted for use outside the interactive session. Model diagnostics can also be incorporated into an R Markdown document and rendered in various output formats.
URL: https://certara.github.io/R-DarwinReporter/
Depends: R (>= 4.1.0)
License: LGPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown, data.table, readr, testthat (>= 3.0.0)
Imports: DT, colourpicker, shinyAce, shinymeta, utils, ggplot2, xpose, Certara.Xpose.NLME, dplyr, jsonlite, tidyr, flextable, shinyjqui, grDevices, plotly, scales, shiny (>= 1.7.0), shinyjs, shinyWidgets, bslib (>= 0.7.0), shinyTree (>= 0.3.1), sortable
NeedsCompilation: no
Packaged: 2025-03-06 16:41:17 UTC; jcraig
Author: James Craig [aut, cre], Michael Tomashevskiy [aut], Mike Talley [aut], Certara USA, Inc [cph, fnd]
Maintainer: James Craig <james.craig@certara.com>
Repository: CRAN
Date/Publication: 2025-03-07 16:40:13 UTC

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Package archeofrag updated to version 1.1.0 with previous version 1.0.0 dated 2024-12-17

Title: Spatial Analysis in Archaeology from Refitting Fragments
Description: Methods to analyse spatial units in archaeology from the relationships between refitting fragmented objects scattered in these units (e.g. stratigraphic layers). Graphs are used to model archaeological observations. The package is mainly based on the 'igraph' package for graph analysis. Functions can: 1) create, manipulate, and simulate fragmentation graphs, 2) measure the cohesion and admixture of archaeological spatial units, and 3) characterise the topology of a specific set of refitting relationships. Empirical datasets are provided as examples. Documentation about 'archeofrag' is provided by the vignette included in this package, by the accompanying scientific papers: Plutniak (2021, Journal of Archaeological Science, <doi:10.1016/j.jas.2021.105501>) and Plutniak (2022, Journal of Open Source Software, <doi:10.21105/joss.04335>). This package is complemented by a companion GUI application available at <https://analytics.huma-num.fr/Sebastien.Plutniak/archeofrag/> [...truncated...]
Author: Sebastien Plutniak [aut, cre]
Maintainer: Sebastien Plutniak <sebastien.plutniak@posteo.net>

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Package adbcsqlite updated to version 0.17.0 with previous version 0.16.0 dated 2025-01-22

Title: 'Arrow' Database Connectivity ('ADBC') 'SQLite' Driver
Description: Provides a developer-facing interface to the 'Arrow' Database Connectivity ('ADBC') 'SQLite' driver for the purposes of building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

Diff between adbcsqlite versions 0.16.0 dated 2025-01-22 and 0.17.0 dated 2025-03-07

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Package adbcpostgresql updated to version 0.17.0 with previous version 0.16.0 dated 2025-01-22

Title: 'Arrow' Database Connectivity ('ADBC') 'PostgreSQL' Driver
Description: Provides a developer-facing interface to the 'Arrow' Database Connectivity ('ADBC') 'PostgreSQL' driver for the purposes of building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

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Package aberrance updated to version 0.2.1 with previous version 0.2.0 dated 2025-02-07

Title: Detect Aberrant Behavior in Test Data
Description: Detect several types of aberrant behavior, including answer copying, answer similarity, nonparametric misfit, parametric misfit, preknowledge, rapid guessing, and test tampering.
Author: Kylie Gorney [aut, cph, cre] , Jiayi Deng [aut, cph]
Maintainer: Kylie Gorney <kgorney@msu.edu>

Diff between aberrance versions 0.2.0 dated 2025-02-07 and 0.2.1 dated 2025-03-07

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Package PubChemR updated to version 2.1.4 with previous version 2.1.3 dated 2024-12-16

Title: Interface to the 'PubChem' Database for Chemical Data Retrieval
Description: Provides an interface to the 'PubChem' database via the PUG REST <https://pubchem.ncbi.nlm.nih.gov/docs/pug-rest> and PUG View <https://pubchem.ncbi.nlm.nih.gov/docs/pug-view> services. This package allows users to automatically access chemical and biological data from 'PubChem', including compounds, substances, assays, and various other data types. Functions are available to retrieve data in different formats, perform searches, and access detailed annotations.
Author: Selcuk Korkmaz [aut, cre] , Bilge Eren Yamasan [aut] , Dincer Goksuluk [aut]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>

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Package PLStests updated to version 0.1.1 with previous version 0.1.0 dated 2025-01-14

Title: Model Checking for High-Dimensional GLMs via Random Projections
Description: Provides methods for testing the goodness-of-fit of generalized linear models (GLMs) using random projections. It is specifically designed for high-dimensional scenarios where the number of predictors substantially exceeds the sample size. The statistical methodologies implemented in this package are detailed in the paper by Wen Chen and Falong Tan (2024, <doi:10.48550/arXiv.2412.10721>).
Author: Wen Chen [aut, cre], Jie Liu [aut], Heng Peng [aut], FaLong Tan [aut], Lixing Zhu [aut]
Maintainer: Wen Chen <tlqdcw@gmail.com>

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Package curesurv updated to version 0.1.2 with previous version 0.1.1 dated 2024-09-17

Title: Mixture and Non Mixture Parametric Cure Models to Estimate Cure Indicators
Description: Fits a variety of cure models using excess hazard modeling methodology such as the mixture model proposed by Phillips et al. (2002) <doi:10.1002/sim.1101> The Weibull distribution is used to represent the survival function of the uncured patients; Fits also non-mixture cure model such as the time-to-null excess hazard model proposed by Boussari et al. (2020) <doi:10.1111/biom.13361>.
Author: Juste Goungounga [aut, cre] , Judith Breaud [aut] , Olayide Boussari [aut] , Laura Botta [ctb] , Valerie Jooste [aut]
Maintainer: Juste Goungounga <juste.goungounga@ehesp.fr>

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New package xlr with initial version 1.0.3
Package: xlr
Title: Create Table Summaries and Export Neat Tables to 'Excel'
Version: 1.0.3
Description: A high-level interface for creating and exporting summary tables to 'Excel'. Built on 'dplyr' and 'openxlsx', it provides tools for generating one-way to n-way tables, and summarizing multiple response questions and question blocks. Tables are exported with native 'Excel' formatting, including titles, footnotes, and basic styling options.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), data.table, lubridate
Imports: rlang, vctrs (>= 0.6.0), haven, openxlsx, methods, cli, dplyr, tibble, pillar, tidyr, tidyselect
Depends: R (>= 4.1.0)
LazyData: true
VignetteBuilder: knitr
URL: https://nhilder.github.io/xlr/, https://github.com/NHilder/xlr
BugReports: https://github.com/NHilder/xlr/issues
NeedsCompilation: no
Packaged: 2025-03-05 21:40:22 UTC; nicholashilderson
Author: Nicholas Hilderson [aut, cre, cph]
Maintainer: Nicholas Hilderson <nhilderson.code@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-07 11:40:02 UTC

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New package visae with initial version 0.2.1
Package: visae
Title: Visualization of Adverse Events
Version: 0.2.1
Description: Implementation of 'shiny' app to visualize adverse events based on the Common Terminology Criteria for Adverse Events (CTCAE) using stacked correspondence analysis as described in Diniz et. al (2021)<doi:10.1186/s12874-021-01368-w>.
BugReports: https://github.com/dnzmarcio/visae/issues
License: GPL (>= 2)
Depends: shiny (>= 1.4.0), dplyr (>= 1.0.0), ggplot2 (>= 3.3.0), R (>= 4.1.0)
Imports: shinyjs (>= 1.1), ca (>= 0.71), tidyr (>= 1.1.0), ggrepel (>= 0.8.2), rlang (>= 0.4.6), DT (>= 0.13)
Encoding: UTF-8
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-05 06:10:29 UTC; dinizm01
Author: Marcio A. Diniz [aut, cre, cph] , Michael Luu [aut]
Maintainer: Marcio A. Diniz <marcio.diniz@mountsinai.org>
Repository: CRAN
Date/Publication: 2025-03-07 11:10:02 UTC

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New package vecmatch with initial version 1.0.2
Package: vecmatch
Title: Generalized Propensity Score Estimation and Matching for Multiple Groups
Version: 1.0.2
Description: Implements the Vector Matching algorithm to match multiple treatment groups based on previously estimated generalized propensity scores. The package includes tools for visualizing initial confounder imbalances, estimating treatment assignment probabilities using various methods, defining the common support region, performing matching across multiple groups, and evaluating matching quality. For more details, see Lopez and Gutman (2017) <doi:10.1214/17-STS612>.
License: GPL (>= 3)
URL: https://github.com/Polymerase3/vecmatch
BugReports: https://github.com/Polymerase3/vecmatch/issues
Depends: R (>= 3.5)
Imports: brglm2, chk, cli, ggplot2, ggpp, ggpubr, grDevices, MASS, Matching, mclogit, nnet, optmatch, productplots, rlang, rstatix, stats, utils, VGAM, withr
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2025-03-05 10:02:29 UTC; polymerase
Author: Mateusz Kolek [aut, cre, cph]
Maintainer: Mateusz Kolek <mati.kolek13@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-07 11:20:03 UTC

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New package transformerForecasting with initial version 0.1.0
Package: transformerForecasting
Title: Transformer Deep Learning Model for Time Series Forecasting
Version: 0.1.0
Maintainer: G H Harish Nayak <harishnayak626@gmail.com>
Description: Time series forecasting faces challenges due to the non-stationarity, nonlinearity, and chaotic nature of the data. Traditional deep learning models like Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU) process data sequentially but are inefficient for long sequences. To overcome the limitations of these models, we proposed a transformer-based deep learning architecture utilizing an attention mechanism for parallel processing, enhancing prediction accuracy and efficiency. This paper presents user-friendly code for the implementation of the proposed transformer-based deep learning architecture utilizing an attention mechanism for parallel processing. References: Nayak et al. (2024) <doi:10.1007/s40808-023-01944-7> and Nayak et al. (2024) <doi:10.1016/j.simpa.2024.100716>.
Imports: ggplot2, keras, tensorflow, magrittr, reticulate (>= 1.20)
Suggests: dplyr, knitr, lubridate, readr, rmarkdown, utils
License: GPL-3
Encoding: UTF-8
Author: G H Harish Nayak [aut, cre], Md Wasi Alam [ths], B Samuel Naik [ctb], G Avinash [ctb], Kabilan S [ctb], Varshini B S [ctb], Mrinmoy Ray [ths], Rajeev Ranjan Kumar [ths]
Depends: R (>= 4.0.0)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-05 04:28:04 UTC; kabil
Repository: CRAN
Date/Publication: 2025-03-07 11:10:06 UTC

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New package tidyklips with initial version 0.3.0
Package: tidyklips
Title: Load Korea Labor & Income Panel Study (KLIPS) Data as Data Frames
Version: 0.3.0
Description: Loading the Korea Labor Institute's KLIPS (Korea Labor & Income Panel Study) panel data and returning data frames. Users must download 26 years of panel data from the Korea Labor Institute website and save it in a folder in an appropriate path. Afterwards, users can easily convert the data into a data frame using this package.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: magrittr, stringr, readxl, haven, dplyr
Depends: R (>= 3.5)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-03-05 13:33:32 UTC; choi
Author: Cheon Geun Choi [aut, cre]
Maintainer: Cheon Geun Choi <cheongeun.choi@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-07 11:20:07 UTC

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New package shinyTimer with initial version 0.1.0
Package: shinyTimer
Title: Customizable Timer for 'shiny' Applications
Version: 0.1.0
Description: Provides a customizable timer widget for 'shiny' applications. Key features include countdown and count-up mode, multiple display formats (including simple seconds, minutes-seconds, hours-minutes-seconds, and minutes-seconds-centiseconds), ability to pause, resume, and reset the timer. 'shinytimer' widget can be particularly useful for creating interactive and time-sensitive applications, tracking session times, setting time limits for tasks or quizzes, and more.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: shiny, htmltools
Suggests: R6, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-03-05 08:42:28 UTC; banasm
Author: Maciej Banas [aut, cre]
Maintainer: Maciej Banas <banasmaciek@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-07 11:10:09 UTC

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New package scPipeline with initial version 0.2.0.0
Package: scPipeline
Title: A Wrapper for 'Seurat' and Related R Packages for End-to-End Single Cell Analysis
Version: 0.2.0.0
Author: Viswanadham Sridhara [aut, cre]
Maintainer: Viswanadham Sridhara <Sridhara.Omics@gmail.com>
Description: Reports markers list, differentially expressed genes, associated pathways, cell-type annotations, does batch correction and other related single cell analyses all wrapped within 'Seurat'.
Imports: Seurat, batchelor, dplyr, ReactomeGSA, celldex, SingleR, SummarizedExperiment, biomaRt, magrittr, rlang
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-03-05 20:54:01 UTC; vishs
Repository: CRAN
Date/Publication: 2025-03-07 11:40:06 UTC

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Package rmsMD updated to version 0.1.2 with previous version 0.1.1 dated 2025-03-03

Title: Output Results from 'rms' Models for Medical Journals
Description: This takes the output of models performed using the 'rms' package and returns a dataframe with the results. This output is in the format required by medical journals. For example for cox regression models, the hazard ratios, their 95% confidence intervals, and p values will be provided. There are additional functions for outputs when the model included restricted cubic spline (RCS) terms. Models using imputed data (eg from aregimpute()) and fitted used fit.mult.impute() can also be processed. The dataframe which is returned can easily be turned into a publication ready table with packages 'flextable' and 'officer'.
Author: Samuel Tingle [aut, cre], Georgios Kourounis [aut]
Maintainer: Samuel Tingle <samjamestingle@gmail.com>

Diff between rmsMD versions 0.1.1 dated 2025-03-03 and 0.1.2 dated 2025-03-07

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 vignettes/modelsummary_rms-vignette.Rmd |   19 --
 7 files changed, 152 insertions(+), 183 deletions(-)

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New package pQTLdata with initial version 0.5
Package: pQTLdata
Title: A Collection of Proteome Panels and Meta-Data
Version: 0.5
Date: 2025-3-5
Description: It aggregates protein panel data and metadata for protein quantitative trait locus (pQTL) analysis using 'pQTLtools' (<https://jinghuazhao.github.io/pQTLtools/>). The package includes data from affinity-based panels such as 'Olink' (<https://olink.com/>) and 'SomaScan' (<https://somalogic.com/>), as well as mass spectrometry-based panels from 'CellCarta' (<https://cellcarta.com/>) and 'Seer' (<https://seer.bio/>). The metadata encompasses updated annotations and publication details.
License: MIT + file LICENSE
URL: https://jinghuazhao.github.io/pQTLdata/, https://jinghuazhao.github.io/pQTLdata/
Depends: R (>= 3.5.0)
Imports: knitr, Rdpack
Suggests: dplyr, grid, EnsDb.Hsapiens.v75, ensembldb, IRanges, org.Hs.eg.db, S4Vectors, VennDiagram
VignetteBuilder: knitr
LazyData: Yes
LazyLoad: Yes
LazyDataCompression: xz
NeedsCompilation: no
Encoding: UTF-8
Packaged: 2025-03-05 16:14:38 UTC; jhz22
Author: Jing Hua Zhao [aut, cre] , Uwe Ligges [ctb], Benjamin Altmann [ctb]
Maintainer: Jing Hua Zhao <jinghuazhao@hotmail.com>
Repository: CRAN
Date/Publication: 2025-03-07 11:30:02 UTC

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New package ParamANOVA with initial version 0.1.2
Package: ParamANOVA
Title: Fully Parameterizable ANOVA Tests
Version: 0.1.2
Description: Allows the user to perform ANOVA tests (in a strict sense: continuous and normally-distributed Y variable and 1 or more factorial/categorical X variable(s)), with the possibility to specify the type of sum of squares (1, 2 or 3), the types of variables (Fixed or Random) and their relationships (crossed or nested) with the sole function of the package (FullyParamANOVA()). The resulting outputs are the same as in 'SAS' software. A dataset (Butterfly) to test the function is also joined.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr (>= 1.1.2), magrittr (>= 2.0.3), mlr3misc (>= 0.16.0), rlang (>= 1.1.1), rstatix (>= 0.7.2), stats (>= 4.2.1), tibble (>= 3.2.1)
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2025-03-05 15:12:48 UTC; vbrans
Author: Victor Brans [aut, cre]
Maintainer: Victor Brans <vicbrans003@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-07 11:30:15 UTC

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New package hellmer with initial version 0.1.0
Package: hellmer
Title: Batch Processing for Chat Models
Version: 0.1.0
Description: Batch processing framework for 'ellmer' chat model interactions. Enables sequential and parallel processing of chat completions. Core capabilities include error handling with backoff, state persistence, progress tracking, and retry management. Parallel processing is implemented via the 'future' framework. Additional features include structured data extraction, tool integration, timeout handling, verbosity control, and sound notifications. Includes methods for returning chat texts, chat objects, progress status, and structured data.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Imports: beepr, cli, future, furrr, parallel, purrr, R.utils, S7, utils
Depends: ellmer
URL: https://dylanpieper.github.io/hellmer/
NeedsCompilation: no
Packaged: 2025-03-05 21:54:51 UTC; dylanpieper
Author: Dylan Pieper [aut, cre]
Maintainer: Dylan Pieper <dylanpieper@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-07 11:40:10 UTC

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Package fastml updated to version 0.5.0 with previous version 0.4.0 dated 2025-01-08

Title: Fast Machine Learning Model Training and Evaluation
Description: Streamlines the training, evaluation, and comparison of multiple machine learning models with minimal code by providing comprehensive data preprocessing and support for a wide range of algorithms with hyperparameter tuning. It offers performance metrics and visualization tools to facilitate efficient and effective machine learning workflows.
Author: Selcuk Korkmaz [aut, cre] , Dincer Goksuluk [aut] , Eda Karaismailoglu [aut]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>

Diff between fastml versions 0.4.0 dated 2025-01-08 and 0.5.0 dated 2025-03-07

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New package facilityepimath with initial version 0.1.0
Package: facilityepimath
Title: Analyze Mathematical Models of Healthcare Facility Transmission
Version: 0.1.0
Description: Calculate useful quantities for a user-defined differential equation model of infectious disease transmission among individuals in a healthcare facility. Input rates of transition between states of individuals with and without the disease-causing organism, distributions of states at facility admission, relative infectivity of transmissible states, and the facility length of stay distribution. Calculate the model equilibrium and the basic facility reproduction number, as described in Toth et al. (2025) <doi:10.1101/2025.02.21.25322698>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/EpiForeSITE/facilityepimath
BugReports: https://github.com/EpiForeSITE/facilityepimath/issues
Imports: MASS
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-05 03:52:47 UTC; runner
Author: Damon Toth [aut, cre, cph] , Centers for Disease Control and Prevention [fnd]
Maintainer: Damon Toth <damon.toth@hsc.utah.edu>
Repository: CRAN
Date/Publication: 2025-03-07 11:10:13 UTC

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Package cvms updated to version 1.7.0 with previous version 1.6.3 dated 2025-01-14

Title: Cross-Validation for Model Selection
Description: Cross-validate one or multiple regression and classification models and get relevant evaluation metrics in a tidy format. Validate the best model on a test set and compare it to a baseline evaluation. Alternatively, evaluate predictions from an external model. Currently supports regression and classification (binary and multiclass). Described in chp. 5 of Jeyaraman, B. P., Olsen, L. R., & Wambugu M. (2019, ISBN: 9781838550134).
Author: Ludvig Renbo Olsen [aut, cre] , Hugh Benjamin Zachariae [aut], Indrajeet Patil [ctb] , Daniel Luedecke [ctb]
Maintainer: Ludvig Renbo Olsen <r-pkgs@ludvigolsen.dk>

Diff between cvms versions 1.6.3 dated 2025-01-14 and 1.7.0 dated 2025-03-07

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Package ClaimsProblems updated to version 1.0.0 with previous version 0.2.1 dated 2023-01-12

Title: Analysis of Conflicting Claims
Description: The analysis of conflicting claims arises when an amount has to be divided among a set of agents with claims that exceed what is available. A rule is a way of selecting a division among the claimants. This package computes the main rules introduced in the literature from ancient times to the present. The inventory of rules covers the proportional and the adjusted proportional rules, the constrained equal awards and the constrained equal losses rules, the constrained egalitarian, the Piniles’ and the minimal overlap rules, the random arrival and the Talmud rules. Besides, the Dominguez and Thomson and the average-of-awards rules are also included. All of them can be found in the book by W. Thomson (2019), How to divide when there isn't enough. From Aristotle, the Talmud, and Maimonides to the axiomatics of resource allocation', except for the average-of-awards rule, introduced by Mirás Calvo et al. (2022), <doi:10.1007/s00355-022-01414-6>. In addition, graphical diagrams allow t [...truncated...]
Author: Estela Sanchez Rodriguez [cre, aut] , Iago Nunez Lugilde [aut] , Miguel Angel Miras Calvo [aut] , Carmen Quinteiro Sandomingo [aut] , MCIN/AEI/10.13039/501100011033 [fnd]
Maintainer: Estela Sanchez Rodriguez <esanchez@uvigo.es>

Diff between ClaimsProblems versions 0.2.1 dated 2023-01-12 and 1.0.0 dated 2025-03-07

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Permanent link

Package BioCro updated to version 3.2.0 with previous version 3.1.3 dated 2024-04-30

Title: Modular Crop Growth Simulations
Description: A cross-platform representation of models as sets of equations that facilitates modularity in model building and allows users to harness modern techniques for numerical integration and data visualization. Documentation is provided by several vignettes included in this package; also see Lochocki et al. (2022) <doi:10.1093/insilicoplants/diac003>.
Author: Justin M. McGrath [cre, aut] , Edward B. Lochocki [aut] , Yufeng He [aut] , Scott W. Oswald [aut] , Scott Rohde [aut] , Deepak Jaiswal [aut] , Megan L. Matthews [aut] , Fernando E. Miguez [aut] , Stephen P. Long [aut] , Dan Wang [ctb], David LeBauer [...truncated...]
Maintainer: Justin M. McGrath <jmcgrath@illinois.edu>

Diff between BioCro versions 3.1.3 dated 2024-04-30 and 3.2.0 dated 2025-03-07

 BioCro-3.1.3/BioCro/src/module_library/c3EvapoTrans.cpp                                                      |only
 BioCro-3.1.3/BioCro/src/module_library/leaf_gbw_thornley.h                                                   |only
 BioCro-3.1.3/BioCro/tests/module_test_cases/BioCro_fake_solar.csv                                            |only
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 BioCro-3.1.3/BioCro/tests/testthat/crop_model_testing_helper_functions.R                                     |only
 BioCro-3.2.0/BioCro/DESCRIPTION                                                                              |   14 
 BioCro-3.2.0/BioCro/MD5                                                                                      |  316 +++---
 BioCro-3.2.0/BioCro/NAMESPACE                                                                                |    5 
 BioCro-3.2.0/BioCro/NEWS.md                                                                                  |  228 +++-
 BioCro-3.2.0/BioCro/R/add_time_to_weather_data.R                                                             |    5 
 BioCro-3.2.0/BioCro/R/get_all.R                                                                              |    4 
 BioCro-3.2.0/BioCro/R/input_checking_functions.R                                                             |   86 +
 BioCro-3.2.0/BioCro/R/model_testing.R                                                                        |only
 BioCro-3.2.0/BioCro/R/module_creators.R                                                                      |    2 
 BioCro-3.2.0/BioCro/R/module_paste.R                                                                         |    2 
 BioCro-3.2.0/BioCro/R/module_testing.R                                                                       |   35 
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 BioCro-3.2.0/BioCro/R/modules.R                                                                              |   12 
 BioCro-3.2.0/BioCro/R/run_biocro.R                                                                           |   75 +
 BioCro-3.2.0/BioCro/R/system_derivatives.R                                                                   |    8 
 BioCro-3.2.0/BioCro/R/validate_dynamical_system_inputs.R                                                     |   10 
 BioCro-3.2.0/BioCro/README.md                                                                                |   24 
 BioCro-3.2.0/BioCro/build/partial.rdb                                                                        |binary
 BioCro-3.2.0/BioCro/build/vignette.rds                                                                       |binary
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 BioCro-3.2.0/BioCro/data/soil_parameters.rda                                                                 |binary
 BioCro-3.2.0/BioCro/data/soybean.rda                                                                         |binary
 BioCro-3.2.0/BioCro/data/soybean_clock.rda                                                                   |binary
 BioCro-3.2.0/BioCro/data/soybean_weather.rdata                                                               |binary
 BioCro-3.2.0/BioCro/data/willow.rda                                                                          |binary
 BioCro-3.2.0/BioCro/inst/doc/BioCro.R                                                                        |    1 
 BioCro-3.2.0/BioCro/inst/doc/BioCro.Rmd                                                                      |    1 
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 BioCro-3.2.0/BioCro/inst/extdata/get_soybean_weather_data.R                                                  |only
 BioCro-3.2.0/BioCro/inst/extdata/rounding_weather_values.R                                                   |    1 
 BioCro-3.2.0/BioCro/man/add_time_to_weather_data.Rd                                                          |   56 -
 BioCro-3.2.0/BioCro/man/cmi_soybean_weather_data.Rd                                                          |    8 
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 BioCro-3.2.0/BioCro/man/module_case_files.Rd                                                                 |    5 
 BioCro-3.2.0/BioCro/man/module_testing.Rd                                                                    |    3 
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 BioCro-3.2.0/BioCro/man/partial_application.Rd                                                               |    2 
 BioCro-3.2.0/BioCro/man/run_biocro.Rd                                                                        |   17 
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 BioCro-3.2.0/BioCro/man/soybean.Rd                                                                           |   24 
 BioCro-3.2.0/BioCro/man/system_derivatives.Rd                                                                |    7 
 BioCro-3.2.0/BioCro/man/test_module.Rd                                                                       |    7 
 BioCro-3.2.0/BioCro/man/test_module_library.Rd                                                               |   12 
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 BioCro-3.2.0/BioCro/man/update_stored_model_results.Rd                                                       |only
 BioCro-3.2.0/BioCro/src/R_system_derivatives.cpp                                                             |    2 
 BioCro-3.2.0/BioCro/src/inc/boost/concept/detail/general.hpp                                                 |   22 
 BioCro-3.2.0/BioCro/src/inc/boost/concept/usage.hpp                                                          |   10 
 BioCro-3.2.0/BioCro/src/inc/boost/graph/detail/adj_list_edge_iterator.hpp                                    |   30 
 BioCro-3.2.0/BioCro/src/inc/boost/graph/detail/adjacency_list.hpp                                            |    6 
 BioCro-3.2.0/BioCro/src/module_library/AuxBioCro.cpp                                                         |  355 -------
 BioCro-3.2.0/BioCro/src/module_library/AuxBioCro.h                                                           |   61 -
 BioCro-3.2.0/BioCro/src/module_library/BioCro.h                                                              |   25 
 BioCro-3.2.0/BioCro/src/module_library/CanAC.cpp                                                             |  155 +--
 BioCro-3.2.0/BioCro/src/module_library/CanAC.h                                                               |   71 -
 BioCro-3.2.0/BioCro/src/module_library/ball_berry.h                                                          |    2 
 BioCro-3.2.0/BioCro/src/module_library/ball_berry_gs.cpp                                                     |    8 
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 BioCro-3.2.0/BioCro/src/module_library/boundary_layer_conductance.h                                          |only
 BioCro-3.2.0/BioCro/src/module_library/c3CanAC.cpp                                                           |  208 ++--
 BioCro-3.2.0/BioCro/src/module_library/c3CanAC.h                                                             |   82 -
 BioCro-3.2.0/BioCro/src/module_library/c3_assimilation.h                                                     |  179 ++-
 BioCro-3.2.0/BioCro/src/module_library/c3_canopy.cpp                                                         |  192 ++-
 BioCro-3.2.0/BioCro/src/module_library/c3_canopy.h                                                           |  178 ++-
 BioCro-3.2.0/BioCro/src/module_library/c3_leaf_photosynthesis.cpp                                            |  146 +-
 BioCro-3.2.0/BioCro/src/module_library/c3_leaf_photosynthesis.h                                              |  132 +-
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 BioCro-3.2.0/BioCro/src/module_library/c3photo.h                                                             |    5 
 BioCro-3.2.0/BioCro/src/module_library/c4_assimilation.h                                                     |    2 
 BioCro-3.2.0/BioCro/src/module_library/c4_canopy.h                                                           |  317 +++---
 BioCro-3.2.0/BioCro/src/module_library/c4_leaf_photosynthesis.cpp                                            |   95 -
 BioCro-3.2.0/BioCro/src/module_library/c4_leaf_photosynthesis.h                                              |   90 -
 BioCro-3.2.0/BioCro/src/module_library/c4photo.cpp                                                           |   12 
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 BioCro-3.2.0/BioCro/src/module_library/development_index_from_thermal_time.h                                 |only
 BioCro-3.2.0/BioCro/src/module_library/fake_solar.h                                                          |    6 
 BioCro-3.2.0/BioCro/src/module_library/format_time.h                                                         |only
 BioCro-3.2.0/BioCro/src/module_library/grimm_soybean_flowering_calculator.h                                  |   14 
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 BioCro-3.2.0/BioCro/src/module_library/leaf_gbw_nikolov.h                                                    |   47 
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 BioCro-3.2.0/BioCro/src/module_library/module_library.cpp                                                    |  274 ++---
 BioCro-3.2.0/BioCro/src/module_library/multilayer_canopy_integrator.h                                        |   45 
 BioCro-3.2.0/BioCro/src/module_library/multilayer_canopy_properties.cpp                                      |   66 -
 BioCro-3.2.0/BioCro/src/module_library/multilayer_canopy_properties.h                                        |   28 
 BioCro-3.2.0/BioCro/src/module_library/no_leaf_resp_neg_assim_partitioning_growth_calculator.h               |   18 
 BioCro-3.2.0/BioCro/src/module_library/oscillator_clock_calculator.h                                         |  120 +-
 BioCro-3.2.0/BioCro/src/module_library/parameter_calculator.h                                                |   78 -
 BioCro-3.2.0/BioCro/src/module_library/photosynthesis_outputs.h                                              |    2 
 BioCro-3.2.0/BioCro/src/module_library/rue_leaf_photosynthesis.cpp                                           |   93 -
 BioCro-3.2.0/BioCro/src/module_library/rue_leaf_photosynthesis.h                                             |   38 
 BioCro-3.2.0/BioCro/src/module_library/senescence_coefficient_logistic.h                                     |    2 
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 BioCro-3.2.0/BioCro/src/module_library/solar_position_michalsky.h                                            |   16 
 BioCro-3.2.0/BioCro/src/module_library/soybean_development_rate_calculator.h                                 |   46 
 BioCro-3.2.0/BioCro/src/module_library/stefan_boltzmann_longwave.h                                           |only
 BioCro-3.2.0/BioCro/src/module_library/sunML.cpp                                                             |  506 +++++++---
 BioCro-3.2.0/BioCro/src/module_library/sunML.h                                                               |  100 +
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 BioCro-3.2.0/BioCro/src/module_library/thermal_time_and_frost_senescence.h                                   |    9 
 BioCro-3.2.0/BioCro/src/module_library/thermal_time_beta.h                                                   |   33 
 BioCro-3.2.0/BioCro/src/module_library/thermal_time_bilinear.h                                               |   31 
 BioCro-3.2.0/BioCro/src/module_library/thermal_time_development_rate_calculator.h                            |   38 
 BioCro-3.2.0/BioCro/src/module_library/thermal_time_linear.h                                                 |   23 
 BioCro-3.2.0/BioCro/src/module_library/thermal_time_linear_extended.h                                        |   29 
 BioCro-3.2.0/BioCro/src/module_library/thermal_time_trilinear.h                                              |   35 
 BioCro-3.2.0/BioCro/src/module_library/water_and_air_properties.h                                            |  126 ++
 BioCro-3.2.0/BioCro/tests/README.md                                                                          |   24 
 BioCro-3.2.0/BioCro/tests/module_test_cases/BioCro_ball_berry.csv                                            |    2 
 BioCro-3.2.0/BioCro/tests/module_test_cases/BioCro_c3_assimilation.csv                                       |    6 
 BioCro-3.2.0/BioCro/tests/module_test_cases/BioCro_c3_canopy.csv                                             |    6 
 BioCro-3.2.0/BioCro/tests/module_test_cases/BioCro_c3_leaf_photosynthesis.csv                                |    6 
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 BioCro-3.2.0/BioCro/tests/module_test_cases/BioCro_c4_canopy.csv                                             |    4 
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 BioCro-3.2.0/BioCro/tests/module_test_cases/BioCro_parameter_calculator.csv                                  |    6 
 BioCro-3.2.0/BioCro/tests/module_test_cases/BioCro_rue_leaf_photosynthesis.csv                               |    6 
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 BioCro-3.2.0/BioCro/tests/module_test_cases/BioCro_ten_layer_canopy_integrator.csv                           |    4 
 BioCro-3.2.0/BioCro/tests/module_test_cases/BioCro_ten_layer_canopy_properties.csv                           |    6 
 BioCro-3.2.0/BioCro/tests/module_test_cases/BioCro_ten_layer_rue_canopy.csv                                  |    6 
 BioCro-3.2.0/BioCro/tests/module_test_cases/BioCro_thermal_time_and_frost_senescence.csv                     |    2 
 BioCro-3.2.0/BioCro/tests/module_test_cases/BioCro_thermal_time_beta.csv                                     |    2 
 BioCro-3.2.0/BioCro/tests/module_test_cases/BioCro_thermal_time_bilinear.csv                                 |    2 
 BioCro-3.2.0/BioCro/tests/module_test_cases/BioCro_thermal_time_development_rate_calculator.csv              |    2 
 BioCro-3.2.0/BioCro/tests/module_test_cases/BioCro_thermal_time_linear.csv                                   |    2 
 BioCro-3.2.0/BioCro/tests/module_test_cases/BioCro_thermal_time_linear_extended.csv                          |    2 
 BioCro-3.2.0/BioCro/tests/module_test_cases/BioCro_thermal_time_trilinear.csv                                |    2 
 BioCro-3.2.0/BioCro/tests/module_test_cases/BioCro_total_biomass.csv                                         |    2 
 BioCro-3.2.0/BioCro/tests/test_data/miscanthus_x_giganteus_simulation.csv                                    |  360 +++----
 BioCro-3.2.0/BioCro/tests/test_data/soybean_simulation.csv                                                   |  276 ++---
 BioCro-3.2.0/BioCro/tests/test_data/testmod.h                                                                |only
 BioCro-3.2.0/BioCro/tests/test_data/willow_simulation.csv                                                    |  360 +++----
 BioCro-3.2.0/BioCro/tests/testthat/test.CropModels.R                                                         |   95 +
 BioCro-3.2.0/BioCro/tests/testthat/test.HarmonicOscillationModeling.R                                        |    3 
 BioCro-3.2.0/BioCro/tests/testthat/test.Modules.R                                                            |    6 
 BioCro-3.2.0/BioCro/tests/testthat/test.PartialApplication.R                                                 |    4 
 BioCro-3.2.0/BioCro/tests/testthat/test.SystemConstruction.R                                                 |   22 
 BioCro-3.2.0/BioCro/tests/testthat/test.c3photo.R                                                            |   50 
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 BioCro-3.2.0/BioCro/tests/testthat/test.weather.R                                                            |only
 BioCro-3.2.0/BioCro/vignettes/BioCro.Rmd                                                                     |    1 
 BioCro-3.2.0/BioCro/vignettes/building_the_vignettes.md                                                      |   89 +
 185 files changed, 3796 insertions(+), 2861 deletions(-)

More information about BioCro at CRAN
Permanent link

New package BacenAPI with initial version 0.1.0
Package: BacenAPI
Version: 0.1.0
Title: Data Collection from the Central Bank of Brazil
Description: Provides tools to facilitate the access and processing of data from the Central Bank of Brazil API. The package allows users to retrieve economic and financial data, transforming them into usable tabular formats for further analysis. The data is obtained from the Central Bank of Brazil API: <https://api.bcb.gov.br/dados/serie/bcdata.sgs.{series_code}/dados?formato=json&dataInicial={start_date}&dataFinal={end_date}>.
License: MIT + file LICENSE
URL: https://github.com/LissandroSousa/BacenAPI
BugReports: https://github.com/LissandroSousa/BacenAPI/issues
Imports: httr, httr2, jsonlite, magrittr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-03-04 23:29:48 UTC; lisan
Author: Paulo Icaro [aut], Lissandro Sousa [cre, aut]
Maintainer: Lissandro Sousa <lisandrosousa54@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-07 11:10:17 UTC

More information about BacenAPI at CRAN
Permanent link

Package ordinalsimr updated to version 0.2.0 with previous version 0.1.3 dated 2025-01-29

Title: Compare Ordinal Endpoints Using Simulations
Description: Simultaneously evaluate multiple ordinal outcome measures. Applied data analysts in particular are faced with uncertainty in choosing appropriate statistical tests for ordinal data. The included 'shiny' application allows users to simulate outcomes given different ordinal data distributions.
Author: Pat Callahan [aut, cre, cph]
Maintainer: Pat Callahan <patricktcallahan18@gmail.com>

Diff between ordinalsimr versions 0.1.3 dated 2025-01-29 and 0.2.0 dated 2025-03-07

 DESCRIPTION                         |   16 +-
 MD5                                 |   44 +++--
 NAMESPACE                           |    1 
 NEWS.md                             |   11 +
 R/app_server.R                      |   34 ++++
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Package datawizard updated to version 1.0.1 with previous version 1.0.0 dated 2025-01-10

Title: Easy Data Wrangling and Statistical Transformations
Description: A lightweight package to assist in key steps involved in any data analysis workflow: (1) wrangling the raw data to get it in the needed form, (2) applying preprocessing steps and statistical transformations, and (3) compute statistical summaries of data properties and distributions. It is also the data wrangling backend for packages in 'easystats' ecosystem. References: Patil et al. (2022) <doi:10.21105/joss.04684>.
Author: Indrajeet Patil [aut] , Etienne Bacher [aut, cre] , Dominique Makowski [aut] , Daniel Luedecke [aut] , Mattan S. Ben-Shachar [aut] , Brenton M. Wiernik [aut] , Remi Theriault [ctb] , Thomas J. Faulkenberry [rev], Robert Garrett [rev]
Maintainer: Etienne Bacher <etienne.bacher@protonmail.com>

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Package admix updated to version 2.3.4 with previous version 2.3.3 dated 2024-11-08

Title: Package Admix for Admixture (aka Contamination) Models
Description: Implements techniques to estimate the unknown quantities related to two-component admixture models, where the two components can belong to any distribution (note that in the case of multinomial mixtures, the two components must belong to the same family). Estimation methods depend on the assumptions made on the unknown component density; see Bordes and Vandekerkhove (2010) <doi:10.3103/S1066530710010023>, Patra and Sen (2016) <doi:10.1111/rssb.12148>, and Milhaud, Pommeret, Salhi, Vandekerkhove (2024) <doi:10.3150/23-BEJ1593>. In practice, one can estimate both the mixture weight and the unknown component density in a wide variety of frameworks. On top of that, hypothesis tests can be performed in one and two-sample contexts to test the unknown component density (see Milhaud, Pommeret, Salhi and Vandekerkhove (2022) <doi:10.1016/j.jspi.2021.05.010>, and Milhaud, Pommeret, Salhi, Vandekerkhove (2024) <doi:10.3150/23-BEJ1593>). Finally, clustering of unknown [...truncated...]
Author: Xavier Milhaud [aut, cre], Pierre Vandekerkhove [ctb], Denys Pommeret [ctb], Yahia Salhi [ctb]
Maintainer: Xavier Milhaud <xavier.milhaud.research@gmail.com>

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Package STRMPS (with last version 0.6.8) was removed from CRAN

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

2025-02-21 0.6.8
2018-07-02 0.5.8

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Package CohortSurvival (with last version 0.6.2) was removed from CRAN

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

2025-01-22 0.6.2
2024-11-28 0.6.1
2024-11-10 0.6.0
2024-06-29 0.5.2
2024-05-18 0.5.1
2024-05-06 0.5.0
2024-04-02 0.4.0
2024-02-08 0.3.0
2023-12-07 0.2.5

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Thu, 06 Mar 2025

Package tern.rbmi updated to version 0.1.5 with previous version 0.1.4 dated 2024-11-26

Title: Create Interface for 'RBMI' and 'tern'
Description: 'RBMI' implements standard and reference based multiple imputation methods for continuous longitudinal endpoints (Gower-Page et al. (2022) <doi:10.21105/joss.04251>). This package provides an interface for 'RBMI' uses the 'tern' <https://cran.r-project.org/package=tern> framework by Zhu et al. (2023) and tabulate results easily using 'rtables' <https://cran.r-project.org/package=rtables> by Becker et al. (2023).
Author: Joe Zhu [aut, cre] , Jana Stoilova [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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Package comparator updated to version 0.1.3 with previous version 0.1.2 dated 2022-03-16

Title: Comparison Functions for Clustering and Record Linkage
Description: Implements functions for comparing strings, sequences and numeric vectors for clustering and record linkage applications. Supported comparison functions include: generalized edit distances for comparing sequences/strings, Monge-Elkan similarity for fuzzy comparison of token sets, and L-p distances for comparing numeric vectors. Where possible, comparison functions are implemented in C/C++ to ensure good performance.
Author: Neil Marchant [aut, cre]
Maintainer: Neil Marchant <ngmarchant@gmail.com>

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Package EMC2 updated to version 3.0.0 with previous version 2.1.0 dated 2024-10-14

Title: Bayesian Hierarchical Analysis of Cognitive Models of Choice
Description: Fit Bayesian (hierarchical) cognitive models using a linear modeling language interface using particle Metropolis Markov chain Monte Carlo sampling with Gibbs steps. The diffusion decision model (DDM), linear ballistic accumulator model (LBA), racing diffusion model (RDM), and the lognormal race model (LNR) are supported. Additionally, users can specify their own likelihood function and/or choose for non-hierarchical estimation, as well as for a diagonal, blocked or full multivariate normal group-level distribution to test individual differences. Prior specification is facilitated through methods that visualize the (implied) prior. A wide range of plotting functions assist in assessing model convergence and posterior inference. Models can be easily evaluated using functions that plot posterior predictions or using relative model comparison metrics such as information criteria or Bayes factors. References: Stevenson et al. (2024) <doi:10.31234/osf.io/2e4dq>.
Author: Niek Stevenson [aut, cre] , Michelle Donzallaz [aut], Andrew Heathcote [aut], Steven Miletic [ctb], Raphael Hartmann [ctb], Karl C. Klauer [ctb], Steven G. Johnson [ctb], Jean M. Linhart [ctb], Brian Gough [ctb], Gerard Jungman [ctb], Rudolf Schuerer [...truncated...]
Maintainer: Niek Stevenson <niek.stevenson@gmail.com>

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Package rgeoda updated to version 0.1.0 with previous version 0.0.11-1 dated 2024-12-19

Title: R Library for Spatial Data Analysis
Description: Provides spatial data analysis functionalities including Exploratory Spatial Data Analysis, Spatial Cluster Detection and Clustering Analysis, Regionalization, etc. based on the C++ source code of 'GeoDa', which is an open-source software tool that serves as an introduction to spatial data analysis. The 'GeoDa' software and its documentation are available at <https://geodacenter.github.io>.
Author: Xun Li [aut, cre], Luc Anselin [aut]
Maintainer: Xun Li <lixun910@gmail.com>

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Package restez updated to version 2.1.5 with previous version 2.1.4 dated 2023-10-25

Title: Create and Query a Local Copy of 'GenBank' in R
Description: Download large sections of 'GenBank' <https://www.ncbi.nlm.nih.gov/genbank/> and generate a local SQL-based database. A user can then query this database using 'restez' functions or through 'rentrez' <https://CRAN.R-project.org/package=rentrez> wrappers.
Author: Joel H. Nitta [aut, cre] , Dom Bennett [aut]
Maintainer: Joel H. Nitta <joelnitta@gmail.com>

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Package riskmetric updated to version 0.2.5 with previous version 0.2.4 dated 2024-01-09

Title: Risk Metrics to Evaluating R Packages
Description: Facilities for assessing R packages against a number of metrics to help quantify their robustness.
Author: R Validation Hub [aut], Doug Kelkhoff [aut], Marly Gotti [aut], Eli Miller [cre, aut], Kevin K [aut], Yilong Zhang [aut], Eric Milliman [aut], Juliane Manitz [aut], Mark Padgham [ctb], PSI special interest group Application and Implementation of Meth [...truncated...]
Maintainer: Eli Miller <eli.miller@atorusresearch.com>

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Package rhub updated to version 2.0.1 with previous version 2.0.0 dated 2024-04-11

Title: Tools for R Package Developers
Description: R-hub v2 uses GitHub Actions to run 'R CMD check' and similar package checks. The 'rhub' package helps you set up R-hub v2 for your R package, and start running checks.
Author: Gabor Csardi [aut, cre], Maelle Salmon [aut] , R Consortium [fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package ndjson updated to version 0.9.1 with previous version 0.9.0 dated 2022-10-17

Title: Wicked-Fast Streaming 'JSON' ('ndjson') Reader
Description: Streaming 'JSON' ('ndjson') has one 'JSON' record per-line and many modern 'ndjson' files contain large numbers of records. These constructs may not be columnar in nature, but it is often useful to read in these files and "flatten" the structure out to enable working with the data in an R 'data.frame'-like context. Functions are provided that make it possible to read in plain 'ndjson' files or compressed ('gz') 'ndjson' files and either validate the format of the records or create "flat" 'data.table' structures from them.
Author: Bob Rudis [aut, cre] , Niels Lohmann [aut] , Deepak Bandyopadhyay [aut] , Lutz Kettner [aut] , Neal Fultz [ctb] , Maarten Demeyer [ctb]
Maintainer: Bob Rudis <bob@rud.is>

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Package MECfda updated to version 0.2.0 with previous version 0.1.0 dated 2024-10-21

Title: Scalar-on-Function Regression with Measurement Error Correction
Description: Solve scalar-on-function linear models, including generalized linear mixed effect model and quantile linear regression model, and bias correction estimation methods due to measurement error. Details about the measurement error bias correction methods, see Luan et al. (2023) <doi:10.48550/arXiv.2305.12624>, Tekwe et al. (2022) <doi:10.1093/biostatistics/kxac017>, Zhang et al. (2023) <doi:10.5705/ss.202021.0246>, Tekwe et al. (2019) <doi:10.1002/sim.8179>.
Author: Heyang Ji [aut, cre, ctb, dtc] , Ufuk Beyaztas [aut, ctb, rev] , Nicolas Escobar-Velasquez [com] , Yuanyuan Luan [aut, ctb], Xiwei Chen [aut, ctb], Mengli Zhang [aut, ctb], Roger Zoh [aut, ths], Lan Xue [aut, ths], Carmen Tekwe [aut, ths]
Maintainer: Heyang Ji <jihx1015@outlook.com>

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Package opencv updated to version 0.5.0 with previous version 0.4.1 dated 2024-10-04

Title: Bindings to 'OpenCV' Computer Vision Library
Description: Exposes some of the available 'OpenCV' <https://opencv.org/> algorithms, such as a QR code scanner, and edge, body or face detection. These can either be applied to analyze static images, or to filter live video footage from a camera device.
Author: Jeroen Ooms [aut, cre] , Jan Wijffels [aut]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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Package wallace updated to version 2.2.0 with previous version 2.1.3 dated 2024-07-18

Title: A Modular Platform for Reproducible Modeling of Species Niches and Distributions
Description: The 'shiny' application Wallace is a modular platform for reproducible modeling of species niches and distributions. Wallace guides users through a complete analysis, from the acquisition of species occurrence and environmental data to visualizing model predictions on an interactive map, thus bundling complex workflows into a single, streamlined interface. An extensive vignette, which guides users through most package functionality can be found on the package's GitHub Pages website: <https://wallaceecomod.github.io/wallace/articles/tutorial-v2.html>.
Author: Bethany A. Johnson [aut], Daniel F. Lopez-Lozano [aut], Jamie M. Kass [aut], Gonzalo E. Pinilla-Buitrago [aut], Andrea Paz [aut], Valentina Grisales-Betancur [aut], Dean Attali [aut], Matthew E. Aiello-Lammens [aut], Cory Merow [aut], Mary E. Blair [ [...truncated...]
Maintainer: Mary E. Blair <mblair1@amnh.org>

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Package usmapdata updated to version 0.4.0 with previous version 0.3.0 dated 2024-05-17

Title: Mapping Data for 'usmap' Package
Description: Provides a container for data used by the 'usmap' package. The data used by 'usmap' has been extracted into this package so that the file size of the 'usmap' package can be reduced greatly. The data in this package will be updated roughly once per year as new map data files are provided by the US Census Bureau.
Author: Paolo Di Lorenzo [aut, cre]
Maintainer: Paolo Di Lorenzo <paolo@dilorenzo.org>

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Package maths.genealogy updated to version 0.1.2 with previous version 0.1.1 dated 2025-03-03

Title: Mathematics PhD Genealogy Data and Plotting
Description: Query, extract, and plot genealogical data from The Mathematics Genealogy Project <https://mathgenealogy.org/>. Data is gathered from the 'WebSocket' server run by the 'geneagrapher-core' project <https://github.com/davidalber/geneagrapher-core>.
Author: Louis Aslett [aut, cre]
Maintainer: Louis Aslett <louis.aslett@durham.ac.uk>

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Package dfr updated to version 0.1.5 with previous version 0.1.4 dated 2025-02-06

Title: Dual Feature Reduction for SGL
Description: Implementation of the Dual Feature Reduction (DFR) approach for the Sparse Group Lasso (SGL) and the Adaptive Sparse Group Lasso (aSGL) (Feser and Evangelou (2024) <doi:10.48550/arXiv.2405.17094>). The DFR approach is a feature reduction approach that applies strong screening to reduce the feature space before optimisation, leading to speed-up improvements for fitting SGL (Simon et al. (2013) <doi:10.1080/10618600.2012.681250>) and aSGL (Mendez-Civieta et al. (2020) <doi:10.1007/s11634-020-00413-8> and Poignard (2020) <doi:10.1007/s10463-018-0692-7>) models. DFR is implemented using the Adaptive Three Operator Splitting (ATOS) (Pedregosa and Gidel (2018) <doi:10.48550/arXiv.1804.02339>) algorithm, with linear and logistic SGL models supported, both of which can be fit using k-fold cross-validation. Dense and sparse input matrices are supported.
Author: Fabio Feser [aut, cre]
Maintainer: Fabio Feser <ff120@ic.ac.uk>

Diff between dfr versions 0.1.4 dated 2025-02-06 and 0.1.5 dated 2025-03-06

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Package cbq updated to version 0.2.0.4 with previous version 0.2.0.3 dated 2023-04-02

Title: Conditional Binary Quantile Models
Description: Estimates conditional binary quantile models developed by Lu (2020) <doi:10.1017/pan.2019.29>. The estimation procedure is implemented based on Markov chain Monte Carlo methods.
Author: Xiao Lu [aut, cre]
Maintainer: Xiao Lu <xiao.lu.research@gmail.com>

Diff between cbq versions 0.2.0.3 dated 2023-04-02 and 0.2.0.4 dated 2025-03-06

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Package zoltr updated to version 1.0.2 with previous version 1.0.1 dated 2024-06-27

Title: Interface to the 'Zoltar' Forecast Repository API
Description: 'Zoltar' <https://www.zoltardata.com/> is a website that provides a repository of model forecast results in a standardized format and a central location. It supports storing, retrieving, comparing, and analyzing time series forecasts for prediction challenges of interest to the modeling community. This package provides functions for working with the 'Zoltar' API, including connecting and authenticating, getting meta information (projects, models, and forecasts, and truth), and uploading, downloading, and deleting forecast and truth data.
Author: Matthew Cornell [aut, cre], Nicholas Reich [aut, cph]
Maintainer: Matthew Cornell <cornell@umass.edu>

Diff between zoltr versions 1.0.1 dated 2024-06-27 and 1.0.2 dated 2025-03-06

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Permanent link

New package uisapi with initial version 0.1.0
Package: uisapi
Title: Access the UNESCO Institute for Statistics API
Version: 0.1.0
Description: Retrieve data from the UNESCO Institute for Statistics (UIS) API <https://api.uis.unesco.org/api/public/documentation/>. UIS provides public access to more than 4,000 indicators focusing on education, science and technology, culture, and communication.
License: MIT + file LICENSE
Depends: R (>= 4.1)
Imports: cli (>= 3.0.0), httr2 (>= 1.0.0), jsonlite (>= 1.0.0), tibble, dplyr (>= 1.0.0), tidyr (>= 1.0.0), rlang (>= 1.0.0)
Suggests: curl, testthat (>= 3.0.0)
URL: https://github.com/tidy-intelligence/r-uisapi, https://tidy-intelligence.github.io/r-uisapi/
BugReports: https://github.com/tidy-intelligence/r-uisapi/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-03-04 18:47:42 UTC; krise
Author: Christoph Scheuch [aut, cre, cph]
Maintainer: Christoph Scheuch <christoph@tidy-intelligence.com>
Repository: CRAN
Date/Publication: 2025-03-06 16:50:01 UTC

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Package synthpop updated to version 1.9-1 with previous version 1.9-0 dated 2024-12-20

Title: Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control
Description: A tool for producing synthetic versions of microdata containing confidential information so that they are safe to be released to users for exploratory analysis. The key objective of generating synthetic data is to replace sensitive original values with synthetic ones causing minimal distortion of the statistical information contained in the data set. Variables, which can be categorical or continuous, are synthesised one-by-one using sequential modelling. Replacements are generated by drawing from conditional distributions fitted to the original data using parametric or classification and regression trees models. Data are synthesised via the function syn() which can be largely automated, if default settings are used, or with methods defined by the user. Optional parameters can be used to influence the disclosure risk and the analytical quality of the synthesised data. For a description of the implemented method see Nowok, Raab and Dibben (2016) <doi:10.18637/jss.v074.i11>. Functio [...truncated...]
Author: Beata Nowok [aut, cre], Gillian M Raab [aut], Chris Dibben [ctb], Joshua Snoke [ctb], Caspar van Lissa [ctb], Lotte Pater [ctb]
Maintainer: Beata Nowok <beata.nowok@gmail.com>

Diff between synthpop versions 1.9-0 dated 2024-12-20 and 1.9-1 dated 2025-03-06

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Package rollupTree updated to version 0.3.0 with previous version 0.2.0 dated 2025-02-04

Title: Perform Recursive Computations
Description: Mass rollup for a Bill of Materials is an example of a class of computations in which elements are arranged in a tree structure and some property of each element is a computed function of the corresponding values of its child elements. Leaf elements, i.e., those with no children, have values assigned. In many cases, the combining function is simple arithmetic sum; in other cases (e.g., mass properties), the combiner may involve other information such as the geometric relationship between parent and child, or statistical relations such as root-sum-of-squares (RSS). This package implements a general function for such problems. It is adapted to specific recursive computations by functional programming techniques; the caller passes a function as the update parameter to rollup() (or, at a lower level, passes functions as the get, set, combine, and override parameters to update_prop()) at runtime to specify the desired operations. The implementation relies on graph-theoretic algorithms from [...truncated...]
Author: James Steven Jenkins [aut, cre, cph]
Maintainer: James Steven Jenkins <sjenkins@studioj.us>

Diff between rollupTree versions 0.2.0 dated 2025-02-04 and 0.3.0 dated 2025-03-06

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New package ROKET with initial version 1.0.0
Package: ROKET
Title: Optimal Transport-Based Kernel Regression
Version: 1.0.0
Date: 2025-03-04
Description: Perform optimal transport on somatic point mutations and kernel regression hypothesis testing by integrating pathway level similarities at the gene level (Little et al. (2023) <doi:10.1111/biom.13769>). The software implements balanced and unbalanced optimal transport and omnibus tests with 'C++' across a set of tumor samples and allows for multi-threading to decrease computational runtime.
Encoding: UTF-8
Imports: Rcpp, smarter, ggplot2, survival, MiRKAT
LinkingTo: Rcpp, RcppArmadillo
License: GPL (>= 3)
Suggests: rmarkdown, knitr, reshape2, ggdendro
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-03-04 22:23:50 UTC; Admin
Author: Paul Little [aut, cre]
Maintainer: Paul Little <pllittle321@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-06 17:00:02 UTC

More information about ROKET at CRAN
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Package frailtypack updated to version 3.7.0 with previous version 3.6.5 dated 2024-12-14

Title: Shared, Joint (Generalized) Frailty Models; Surrogate Endpoints
Description: The following several classes of frailty models using a penalized likelihood estimation on the hazard function but also a parametric estimation can be fit using this R package: 1) A shared frailty model (with gamma or log-normal frailty distribution) and Cox proportional hazard model. Clustered and recurrent survival times can be studied. 2) Additive frailty models for proportional hazard models with two correlated random effects (intercept random effect with random slope). 3) Nested frailty models for hierarchically clustered data (with 2 levels of clustering) by including two iid gamma random effects. 4) Joint frailty models in the context of the joint modelling for recurrent events with terminal event for clustered data or not. A joint frailty model for two semi-competing risks and clustered data is also proposed. 5) Joint general frailty models in the context of the joint modelling for recurrent events with terminal event data with two independent frailty terms. 6) Joint Neste [...truncated...]
Author: Virginie Rondeau [aut, cre] , Juan R. Gonzalez [aut], Yassin Mazroui [aut], Audrey Mauguen [aut], Amadou Diakite [aut], Alexandre Laurent [aut], Myriam Lopez [aut], Agnieszka Krol [aut], Casimir L. Sofeu [aut], Julien Dumerc [aut], Denis Rustand [aut [...truncated...]
Maintainer: Virginie Rondeau <virginie.rondeau@u-bordeaux.fr>

Diff between frailtypack versions 3.6.5 dated 2024-12-14 and 3.7.0 dated 2025-03-06

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Package finnsurveytext updated to version 2.1.1 with previous version 2.1.0 dated 2024-11-08

Title: Analyse Open-Ended Survey Responses in Finnish
Description: Annotates Finnish textual survey responses into CoNLL-U format using Finnish treebanks from <https://universaldependencies.org/format.html> using UDPipe as described in Straka and Straková (2017) <doi:10.18653/v1/K17-3009>. Formatted data is then analysed using single or comparison n-gram plots, wordclouds, summary tables and Concept Network plots. The Concept Network plots use the TextRank algorithm as outlined in Mihalcea, Rada & Tarau, Paul (2004) <https://aclanthology.org/W04-3252/>.
Author: Adeline Clarke [cre, aut], Krista Lagus [aut], Katja Laine [aut], Maria Litova [aut], Matti Nelimarkka [aut], Joni Oksanen [aut], Jaakko Peltonen [aut], Tuukka Oikarinen [aut], Jani-Matti Tirkkonen [aut], Ida Toivanen [aut], Maria Valaste [aut], Shan [...truncated...]
Maintainer: Adeline Clarke <adelinepclarke@gmail.com>

Diff between finnsurveytext versions 2.1.0 dated 2024-11-08 and 2.1.1 dated 2025-03-06

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New package CSeQTL with initial version 1.0.0
Package: CSeQTL
Title: Cell Type-Specific Expression Quantitative Trail Loci Mapping
Version: 1.0.0
Date: 2025-03-04
Description: Perform bulk and cell type-specific expression quantitative trail loci mapping with our novel method (Little et al. (2023) <doi:10.1038/s41467-023-38795-w>).
Encoding: UTF-8
Imports: Rcpp, smarter, ggplot2, multcomp, emdbook, MatrixEQTL, data.table, HelpersMG, R.utils, GenomicFeatures, methods
LinkingTo: Rcpp, RcppArmadillo
License: GPL (>= 3)
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-03-04 22:11:04 UTC; Admin
Author: Paul Little [aut, cre]
Maintainer: Paul Little <pllittle321@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-03-06 17:00:06 UTC

More information about CSeQTL at CRAN
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New package actfts with initial version 0.3.0
Package: actfts
Title: Autocorrelation Tools Featured for Time Series
Version: 0.3.0
Maintainer: Sergio Sierra <sergiochess95@gmail.com>
Description: The 'actfts' package provides tools for performing autocorrelation analysis of time series data. It includes functions to compute and visualize the autocorrelation function (ACF) and the partial autocorrelation function (PACF). Additionally, it performs the Dickey-Fuller, KPSS, and Phillips-Perron unit root tests to assess the stationarity of time series. Theoretical foundations are based on Box and Cox (1964) <doi:10.1111/j.2517-6161.1964.tb00553.x>, Box and Jenkins (1976) <isbn:978-0-8162-1234-2>, and Box and Pierce (1970) <doi:10.1080/01621459.1970.10481180>. Statistical methods are also drawn from Kolmogorov (1933) <doi:10.1007/BF00993594>, Kwiatkowski et al. (1992) <doi:10.1016/0304-4076(92)90104-Y>, and Ljung and Box (1978) <doi:10.1093/biomet/65.2.297>. The package integrates functions from 'forecast' (Hyndman & Khandakar, 2008) <https://CRAN.R-project.org/package=forecast>, 'tseries' (Trapletti & Hornik, 2020) <https://CRAN.R [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: openxlsx, plotly, reactable, tseries, xts, stats, forecast, lifecycle
Depends: R (>= 2.10)
URL: https://github.com/SergioFinances/actfts, https://sergiofinances.github.io/actfts/
BugReports: https://github.com/SergioFinances/actfts/issues
Suggests: dplyr, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-04 18:19:35 UTC; sergiosierra
Author: David Rodriguez [aut, cph] , Sergio Sierra [aut, cre]
Repository: CRAN
Date/Publication: 2025-03-06 16:40:07 UTC

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Package SpecHelpers updated to version 0.3.1 with previous version 0.2.7 dated 2017-07-26

Title: Spectroscopy Related Utilities
Description: Utility functions for spectroscopy. 1. Functions to simulate spectra for use in teaching or testing. 2. Functions to process files created by 'LoggerPro' and 'SpectraSuite' software.
Author: Bryan A. Hanson [aut, cre]
Maintainer: Bryan A. Hanson <hanson@depauw.edu>

Diff between SpecHelpers versions 0.2.7 dated 2017-07-26 and 0.3.1 dated 2025-03-06

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Package tkrplot updated to version 0.0-29 with previous version 0.0-27 dated 2022-10-18

Title: TK Rplot
Description: Simple mechanism for placing R graphics in a Tk widget.
Author: Luke Tierney <luke-tierney@uiowa.edu>
Maintainer: Luke Tierney <luke-tierney@uiowa.edu>

Diff between tkrplot versions 0.0-27 dated 2022-10-18 and 0.0-29 dated 2025-03-06

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Package qMRI updated to version 1.2.7.9 with previous version 1.2.7.8 dated 2024-12-09

Title: Methods for Quantitative Magnetic Resonance Imaging ('qMRI')
Description: Implementation of methods for estimation of quantitative maps from Multi-Parameter Mapping (MPM) acquisitions (Weiskopf et al. (2013) <doi:10.3389/fnins.2013.00095>) and analysis of Inversion Recovery MRI data. Usage of the package is described in Polzehl and Tabelow (2023), "Magnetic Resonance Brain Imaging", 2nd Edition, Chapter 6 and 7, Springer, Use R! Series. <doi:10.1007/978-3-031-38949-8>. J. Polzehl and K. Tabelow (2023), "Magnetic Resonance Brain Imaging - Modeling and Data Analysis Using R: Code and Data." <doi:10.20347/WIAS.DATA.6> provides extensive example code and data.
Author: Joerg Polzehl [aut], Karsten Tabelow [aut, cre], WIAS Berlin [cph, fnd]
Maintainer: Karsten Tabelow <karsten.tabelow@wias-berlin.de>

Diff between qMRI versions 1.2.7.8 dated 2024-12-09 and 1.2.7.9 dated 2025-03-06

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Package mpmsim updated to version 3.2.0 with previous version 3.1.0 dated 2024-10-12

Title: Simulation of Matrix Population Models with Defined Life History Characteristics
Description: Allows users to simulate matrix population models with particular characteristics based on aspects of life history such as mortality trajectories and fertility trajectories. Also allows the exploration of sampling error due to small sample size.
Author: Owen Jones [aut, cre]
Maintainer: Owen Jones <jones@biology.sdu.dk>

Diff between mpmsim versions 3.1.0 dated 2024-10-12 and 3.2.0 dated 2025-03-06

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New package misha with initial version 4.3.6
Package: misha
Title: Toolkit for Analysis of Genomic Data
Version: 4.3.6
Description: A toolkit for analysis of genomic data. The 'misha' package implements an efficient data structure for storing genomic data, and provides a set of functions for data extraction, manipulation and analysis. Some of the 2D genome algorithms were described in Yaffe and Tanay (2011) <doi:10.1038/ng.947>.
License: MIT + file LICENSE
URL: https://tanaylab.github.io/misha/, https://github.com/tanaylab/misha
BugReports: https://github.com/tanaylab/misha/issues
Depends: R (>= 3.0.0)
Imports: magrittr, curl, utils
Suggests: dplyr, glue, knitr, readr, rmarkdown, spelling, stats, stringr, testthat (>= 3.0.0), tibble, withr
Encoding: UTF-8
Language: en-US
LazyLoad: yes
NeedsCompilation: yes
SystemRequirements: C++14
OS_type: unix
VignetteBuilder: knitr
Packaged: 2025-02-28 12:13:50 UTC; aviezerl
Author: Misha Hoichman [aut], Aviezer Lifshitz [aut, cre], Eitan Yaffe [aut], Amos Tanay [aut], Weizmann Institute of Science [cph]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>
Repository: CRAN
Date/Publication: 2025-03-06 14:10:02 UTC

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Package hutilscpp updated to version 0.10.8 with previous version 0.10.7 dated 2025-01-08

Title: Miscellaneous Functions in C++
Description: Provides utility functions that are simply, frequently used, but may require higher performance that what can be obtained from base R. Incidentally provides support for 'reverse geocoding', such as matching a point with its nearest neighbour in another array. Used as a complement to package 'hutils' by sacrificing compilation or installation time for higher running speeds. The name is a portmanteau of the author and 'Rcpp'.
Author: Hugh Parsonage [aut, cre], Simon Urbanek [ctb]
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>

Diff between hutilscpp versions 0.10.7 dated 2025-01-08 and 0.10.8 dated 2025-03-06

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Package ColOpenData updated to version 1.0.0 with previous version 0.3.1 dated 2024-10-30

Title: Download Colombian Demographic, Climate and Geospatial Data
Description: Downloads wrangled Colombian socioeconomic, geospatial,population and climate data from DANE <https://www.dane.gov.co/> (National Administrative Department of Statistics) and IDEAM (Institute of Hydrology, Meteorology and Environmental Studies). It solves the problem of Colombian data being issued in different web pages and sources by using functions that allow the user to select the desired database and download it without having to do the exhausting acquisition process.
Author: Maria Camila Tavera-Cifuentes [aut, cre, cph] , Julian Otero [aut, cph] , Natalia Nino-Machado [ctb] , Catalina Gonzalez-Uribe [ctb] , Juan Manuel Cordovez [ctb] , Hugo Gruson [rev] , Chris Hartgerink [rev] , Karim Mane [rev] , Joshua W. Lambert [rev [...truncated...]
Maintainer: Maria Camila Tavera-Cifuentes <mc.tavera@uniandes.edu.co>

Diff between ColOpenData versions 0.3.1 dated 2024-10-30 and 1.0.0 dated 2025-03-06

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Package AICcmodavg updated to version 2.3-4 with previous version 2.3-3 dated 2023-11-16

Title: Model Selection and Multimodel Inference Based on (Q)AIC(c)
Description: Functions to implement model selection and multimodel inference based on Akaike's information criterion (AIC) and the second-order AIC (AICc), as well as their quasi-likelihood counterparts (QAIC, QAICc) from various model object classes. The package implements classic model averaging for a given parameter of interest or predicted values, as well as a shrinkage version of model averaging parameter estimates or effect sizes. The package includes diagnostics and goodness-of-fit statistics for certain model types including those of 'unmarkedFit' classes estimating demographic parameters after accounting for imperfect detection probabilities. Some functions also allow the creation of model selection tables for Bayesian models of the 'bugs', 'rjags', and 'jagsUI' classes. Functions also implement model selection using BIC. Objects following model selection and multimodel inference can be formatted to LaTeX using 'xtable' methods included in the package.
Author: Marc J. Mazerolle [aut, cre]
Maintainer: Marc J. Mazerolle <marc.mazerolle@sbf.ulaval.ca>

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Package RcppDate updated to version 0.0.5 with previous version 0.0.4 dated 2024-10-14

Title: 'date' C++ Header Library for Date and Time Functionality
Description: A header-only C++ library is provided with support for dates, time zones, ISO weeks, Julian dates, and Islamic dates. 'date' offers extensive date and time functionality for the C++11, C++14 and C++17 standards and was written by Howard Hinnant and released under the MIT license. A slightly modified version has been accepted (along with 'tz.h') as part of C++20. This package regroups all header files from the upstream repository by Howard Hinnant so that other R packages can use them in their C++ code. At present, few of the types have explicit 'Rcpp' wrappers though these may be added as needed.
Author: Dirk Eddelbuettel [aut, cre] , Howard Hinnant [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppDate versions 0.0.4 dated 2024-10-14 and 0.0.5 dated 2025-03-06

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

Title: Canonical Correlations and Tests of Independence
Description: A simple interface for multivariate correlation analysis that unifies various classical statistical procedures including t-tests, tests in univariate and multivariate linear models, parametric and nonparametric tests for correlation, Kruskal-Wallis tests, common approximate versions of Wilcoxon rank-sum and signed rank tests, chi-squared tests of independence, score tests of particular hypotheses in generalized linear models, canonical correlation analysis and linear discriminant analysis.
Author: Robert Schlicht [aut, cre]
Maintainer: Robert Schlicht <robert.schlicht@tu-dresden.de>

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Package visOmopResults updated to version 1.0.2 with previous version 1.0.1 dated 2025-02-27

Title: Graphs and Tables for OMOP Results
Description: Provides methods to transform omop_result objects into formatted tables and figures, facilitating the visualisation of study results working with the Observational Medical Outcomes Partnership (OMOP) Common Data Model.
Author: Marti Catala [aut] , Nuria Mercade-Besora [aut, cre] , Yuchen Guo [ctb] , Elin Rowlands [ctb] , Marta Alcalde-Herraiz [ctb] , Edward Burn [ctb]
Maintainer: Nuria Mercade-Besora <nuria.mercadebesora@ndorms.ox.ac.uk>

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Package snvecR updated to version 3.10.1 with previous version 3.10.0 dated 2025-03-01

Title: Calculate Earth’s Obliquity and Precession in the Past
Description: Easily calculate precession and obliquity from an orbital solution (defaults to ZB18a from Zeebe and Lourens (2019) <doi:10.1126/science.aax0612>) and assumed or reconstructed values for tidal dissipation (Td) and dynamical ellipticity (Ed). This is a translation and adaptation of the 'C'-code in the supplementary material to Zeebe and Lourens (2022) <doi:10.1029/2021PA004349>, with further details on the methodology described in Zeebe (2022) <doi:10.3847/1538-3881/ac80f8>. The name of the 'C'-routine is 'snvec', which refers to the key units of computation: spin vector s and orbit normal vector n.
Author: Ilja Kocken [aut, cre, trl, cph] , Richard Zeebe [aut]
Maintainer: Ilja Kocken <ikocken@hawaii.edu>

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Package dodgr updated to version 0.4.2 with previous version 0.4.1 dated 2024-07-07

Title: Distances on Directed Graphs
Description: Distances on dual-weighted directed graphs using priority-queue shortest paths (Padgham (2019) <doi:10.32866/6945>). Weighted directed graphs have weights from A to B which may differ from those from B to A. Dual-weighted directed graphs have two sets of such weights. A canonical example is a street network to be used for routing in which routes are calculated by weighting distances according to the type of way and mode of transport, yet lengths of routes must be calculated from direct distances.
Author: Mark Padgham [aut, cre], Andreas Petutschnig [aut], David Cooley [aut], Robin Lovelace [ctb], Andrew Smith [ctb], Malcolm Morgan [ctb], Andrea Gilardi [ctb] , Shane Saunders [cph] , Stanislaw Adaszewski [cph]
Maintainer: Mark Padgham <mark.padgham@email.com>

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Package pnd updated to version 0.0.8 with previous version 0.0.7 dated 2025-03-01

Title: Parallel Numerical Derivatives, Gradients, Jacobians, and Hessians of Arbitrary Accuracy Order
Description: Numerical derivatives through finite-difference approximations can be calculated using the 'pnd' package with parallel capabilities and optimal step-size selection to improve accuracy. These functions facilitate efficient computation of derivatives, gradients, Jacobians, and Hessians, allowing for more evaluations to reduce the mathematical and machine errors. Designed for compatibility with the 'numDeriv' package, which has not received updates in several years, it introduces advanced features such as computing derivatives of arbitrary order, improving the accuracy of Hessian approximations by avoiding repeated differencing, and parallelising slow functions on Windows, Mac, and Linux.
Author: Andrei Victorovitch Kostyrka [aut, cre]
Maintainer: Andrei Victorovitch Kostyrka <andrei.kostyrka@gmail.com>

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Package lsirm12pl updated to version 1.3.4 with previous version 1.3.3 dated 2024-08-28

Title: Latent Space Item Response Model
Description: Analysis of dichotomous and continuous response data using latent factor by both 1PL LSIRM and 2PL LSIRM as described in Jeon et al. (2021) <doi:10.1007/s11336-021-09762-5>. It includes original 1PL LSIRM and 2PL LSIRM provided for binary response data and its extension for continuous response data. Bayesian model selection with spike-and-slab prior and method for dealing data with missing value under missing at random, missing completely at random are also supported. Various diagnostic plots are available to inspect the latent space and summary of estimated parameters.
Author: Dongyoung Go [aut], Gwanghee Kim [aut, cre], Jina Park [aut], Ickhoon Jin [ctb], Minjeong Jeon [ctb]
Maintainer: Gwanghee Kim <musagh08@yonsei.ac.kr>

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Package LifemapR updated to version 1.1.5 with previous version 1.1.4 dated 2024-07-31

Title: Data Visualisation on 'Lifemap' Tree
Description: Allow to visualise data on the NCBI phylogenetic tree as presented in Lifemap <https://lifemap.cnrs.fr/>. It takes as input a dataframe with at least a "taxid" column containing NCBI format TaxIds and allows to draw multiple layers with different visualisation tools.
Author: Cassandra Bompard [aut], Damien M. de Vienne [aut] , Julien Barnier [aut] , Aurelie Siberchicot [ctb, cre]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

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Package broom.helpers updated to version 1.20.0 with previous version 1.19.0 dated 2025-01-29

Title: Helpers for Model Coefficients Tibbles
Description: Provides suite of functions to work with regression model 'broom::tidy()' tibbles. The suite includes functions to group regression model terms by variable, insert reference and header rows for categorical variables, add variable labels, and more.
Author: Joseph Larmarange [aut, cre] , Daniel D. Sjoberg [aut]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

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Package bit updated to version 4.6.0 with previous version 4.5.0.1 dated 2024-12-03

Title: Classes and Methods for Fast Memory-Efficient Boolean Selections
Description: Provided are classes for boolean and skewed boolean vectors, fast boolean methods, fast unique and non-unique integer sorting, fast set operations on sorted and unsorted sets of integers, and foundations for ff (range index, compression, chunked processing).
Author: Michael Chirico [aut, cre], Jens Oehlschlaegel [aut], Brian Ripley [ctb]
Maintainer: Michael Chirico <MichaelChirico4@gmail.com>

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Package TDLM updated to version 1.1.1 with previous version 1.1.0 dated 2025-01-07

Title: Systematic Comparison of Trip Distribution Laws and Models
Description: The main purpose of this package is to propose a rigorous framework to fairly compare trip distribution laws and models as described in Lenormand et al. (2016) <doi:10.1016/j.jtrangeo.2015.12.008>.
Author: Maxime Lenormand [aut, cre]
Maintainer: Maxime Lenormand <maxime.lenormand@inrae.fr>

Diff between TDLM versions 1.1.0 dated 2025-01-07 and 1.1.1 dated 2025-03-06

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Package clintrialx (with last version 0.1.0) was removed from CRAN

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

2024-09-03 0.1.0

Permanent link
Package XBRL (with last version 0.99.19.1) was removed from CRAN

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

2022-03-28 0.99.19.1
2021-10-18 0.99.19
2017-03-28 0.99.18
2016-07-01 0.99.17
2015-04-29 0.99.16
2015-02-13 0.99.15
2015-01-08 0.99.14
2014-11-18 0.99.13
2014-08-11 0.99.12
2014-03-01 0.99.11
2013-12-31 0.99.10

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Package finreportr (with last version 1.0.4) was removed from CRAN

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

2022-01-17 1.0.4
2021-11-29 1.0.3
2020-06-13 1.0.2
2016-10-31 1.0.1
2016-03-29 1.0.0

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Wed, 05 Mar 2025

Package MSoutcomes updated to version 0.2.1 with previous version 0.2.0 dated 2024-02-29

Title: CORe Multiple Sclerosis Outcomes Toolkit
Description: Enable operationalized evaluation of disease outcomes in multiple sclerosis. ‘MSoutcomes’ requires longitudinally recorded clinical data structured in long format. The package is based on the research developed at Clinical Outcomes Research unit (CORe), University of Melbourne and Neuroimmunology Centre, Royal Melbourne Hospital. Kalincik et al. (2015) <doi:10.1093/brain/awv258>. Lorscheider et al. (2016) <doi:10.1093/brain/aww173>. Sharmin et al. (2022) <doi:10.1111/ene.15406>. Dzau et al. (2023) <doi:10.1136/jnnp-2023-331748>.
Author: Sifat Sharmin [aut], Johannes Lorscheider [aut], Nathaniel Lizak [aut], Sam Harding-Forrester [aut], Winston Dzau [aut], Jannis Mueller [aut], Izanne Roos [aut], Tomas Kalincik [aut, cre, cph]
Maintainer: Tomas Kalincik <tomas.kalincik@unimelb.edu.au>

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Package FPDclustering updated to version 2.3.5 with previous version 2.3.4 dated 2025-02-13

Title: PD-Clustering and Related Methods
Description: Probabilistic distance clustering (PD-clustering) is an iterative, distribution-free, probabilistic clustering method. PD-clustering assigns units to a cluster according to their probability of membership under the constraint that the product of the probability and the distance of each point to any cluster center is a constant. PD-clustering is a flexible method that can be used with elliptical clusters, outliers, or noisy data. PDQ is an extension of the algorithm for clusters of different sizes. GPDC and TPDC use a dissimilarity measure based on densities. Factor PD-clustering (FPDC) is a factor clustering method that involves a linear transformation of variables and a cluster optimizing the PD-clustering criterion. It works on high-dimensional data sets.
Author: Cristina Tortora [aut, cre, cph], Noe Vidales [aut], Francesco Palumbo [aut], Tina Kalra [aut], Paul D. McNicholas [fnd]
Maintainer: Cristina Tortora <grikris1@gmail.com>

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Package fkbma updated to version 0.2.0 with previous version 0.1.0 dated 2025-01-31

Title: Free Knot-Bayesian Model Averaging
Description: Analysis of Bayesian adaptive enrichment clinical trial using Free-Knot Bayesian Model Averaging (FK-BMA) method of Maleyeff et al. (2024) for Gaussian data. Maleyeff, L., Golchi, S., Moodie, E. E. M., & Hudson, M. (2024) "An adaptive enrichment design using Bayesian model averaging for selection and threshold-identification of predictive variables" <doi:10.1093/biomtc/ujae141>.
Author: Lara Maleyeff [aut, cre], Shirin Golchi [aut], Erica E. M. Moodie [aut]
Maintainer: Lara Maleyeff <lara.maleyeff@mcgill.ca>

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Package DiscreteGapStatistic updated to version 1.1.2 with previous version 1.0.0 dated 2024-12-09

Title: An Extension of the Gap Statistic for Ordinal/Categorical Data
Description: The gap statistic approach is extended to estimate the number of clusters for categorical response format data. This approach and accompanying software is designed to be used with the output of any clustering algorithm and with distances specifically designed for categorical (i.e. multiple choice) or ordinal survey response data.
Author: Jeffrey Miecznikowski [aut], Eduardo Cortes [aut, cre]
Maintainer: Eduardo Cortes <ecortesg@buffalo.edu>

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Package habtools updated to version 1.1.1 with previous version 1.0.7 dated 2024-11-15

Title: Tools and Metrics for 3D Surfaces and Objects
Description: A collection of functions for sampling and simulating 3D surfaces and objects and estimating metrics like rugosity, fractal dimension, convexity, sphericity, circularity, second moments of area and volume, and more.
Author: Joshua Madin [aut] , Nina Schiettekatte [aut, cre]
Maintainer: Nina Schiettekatte <nina.schiettekatte@gmail.com>

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Package prospectr updated to version 0.2.8 with previous version 0.2.7 dated 2024-02-16

Title: Miscellaneous Functions for Processing and Sample Selection of Spectroscopic Data
Description: Functions to preprocess spectroscopic data and conduct (representative) sample selection/calibration sampling.
Author: Antoine Stevens [aut] , Leonardo Ramirez-Lopez [aut, cre]
Maintainer: Leonardo Ramirez-Lopez <ramirez.lopez.leo@gmail.com>

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Package powerPLS updated to version 0.2.1 with previous version 0.2.0 dated 2024-09-30

Title: Power Analysis for PLS Classification
Description: It estimates power and sample size for Partial Least Squares-based methods described in Andreella, et al., (2024), <doi:10.48550/arXiv.2403.10289>.
Author: Angela Andreella [aut, cre]
Maintainer: Angela Andreella <angela.andreella@unitn.it>

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Package orcamentoBR updated to version 1.0.3 with previous version 1.0.2 dated 2025-02-20

Title: Download Official Data on Brazil's Federal Budget
Description: Allows users to download and analyze official data on Brazil's federal budget through the 'SPARQL' endpoint provided by the Integrated Budget and Planning System ('SIOP'). This package enables access to detailed information on budget allocations and expenditures of the federal government, making it easier to analyze and visualize these data. Technical information on the Brazilian federal budget is available (Portuguese only) at <https://www1.siop.planejamento.gov.br/mto/>. The 'SIOP' endpoint is available at <https://www1.siop.planejamento.gov.br/sparql/>.
Author: Daniel Gersten Reiss [aut, cre] , Bernardo Borba de Andrade [ctb] , Gustavo Jose de Guimaraes e Souza [ctb] , Ministerio do Planejamento e Orcamento [cph, fnd]
Maintainer: Daniel Gersten Reiss <daniel.reiss@planejamento.gov.br>

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Package MNB updated to version 1.2.0 with previous version 1.1.0 dated 2022-04-22

Title: Diagnostic Tools for a Multivariate Negative Binomial Regression Model
Description: Diagnostic tools as residual analysis, global, local and total-local influence for the multivariate model from the random intercept Poisson generalized log gamma model are available in this package. Including also, the estimation process by maximum likelihood method, for details see Fabio, L. C; Villegas, C. L.; Carrasco, J.M.F and de Castro, M. (2023) <doi:10.1080/03610926.2021.1939380> and Fábio, L. C.; Villegas, C.; Mamun, A. S. M. A. and Carrasco, J. M. F. (2025) <doi:10.28951/bjb.v43i1.728>.
Author: Jalmar Carrasco [aut, cre], Cristian Lobos [aut], Lizandra Fabio [aut]
Maintainer: Jalmar Carrasco <carrascojalmar@gmail.com>

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New package ebvcube with initial version 0.4.0
Package: ebvcube
Title: Working with netCDF for Essential Biodiversity Variables
Version: 0.4.0
Date: 2025-03-05
Author: Luise Quoss [aut, cre] , Nestor Fernandez [aut] , Christian Langer [aut] , Jose Valdez [aut] , Henrique Miguel Pereira [aut]
Maintainer: Luise Quoss <luise.quoss@idiv.de>
Description: The concept of Essential Biodiversity Variables (EBV, <https://geobon.org/ebvs/what-are-ebvs/>) comes with a data structure based on the Network Common Data Form (netCDF). The 'ebvcube' 'R' package provides functionality to easily create, access and visualise this data. The EBV netCDFs can be downloaded from the EBV Data Portal: Christian Langer/ iDiv (2020) <https://portal.geobon.org/>.
URL: https://github.com/EBVCube/ebvcube
BugReports: https://github.com/EBVcube/ebvcube/issues
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: checkmate, curl, DelayedArray, ggplot2, HDF5Array, httr, jsonlite, memuse, methods, ncdf4, ncmeta, reshape2, rhdf5, stringr, terra, tidyterra, withr
Suggests: knitr, lintr, rmarkdown, testthat (>= 3.0.0)
SystemRequirements: GDAL binaries
Depends: R (>= 4.2.0)
NeedsCompilation: no
Packaged: 2025-03-05 13:17:38 UTC; lq39quba
Repository: CRAN
Date/Publication: 2025-03-06 00:00:09 UTC

More information about ebvcube at CRAN
Permanent link

Package cohetsurr updated to version 1.1 with previous version 1.0 dated 2024-11-21

Title: Assessing Complex Heterogeneity in Surrogacy
Description: Provides functions to assess and test for complex heterogeneity in the utility of a surrogate marker with respect to multiple baseline covariates, using both a parametric model and a semiparametric two-step model. More details are available in: Knowlton, R., Tian, L., & Parast, L. (2025). "A General Framework to Assess Complex Heterogeneity in the Strength of a Surrogate Marker," Statistics in Medicine, 44(5), e70001 <doi:10.1002/sim.70001>. A tutorial for this package can be found at <https://laylaparast.com/home/cohetsurr.html>.
Author: Rebecca Knowlton [aut], Layla Parast [aut, cre]
Maintainer: Layla Parast <parast@austin.utexas.edu>

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Package massProps updated to version 0.3.1 with previous version 0.2.0 dated 2025-01-30

Title: Calculate Mass Properties and Uncertainties of Tree Structures
Description: Recursively calculates mass properties (mass, center of mass, moments and products of inertia, and optionally, their uncertainties) for arbitrary decomposition trees. R. L. Zimmerman, J. H. Nakai. (2005) <https://www.sawe.org/product/paper-3360/>).
Author: James Steven Jenkins [aut, cre, cph]
Maintainer: James Steven Jenkins <sjenkins@studioj.us>

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Package censusapi updated to version 0.9.0 with previous version 0.8.0 dated 2022-08-09

Title: Retrieve Data from the Census APIs
Description: A wrapper for the U.S. Census Bureau APIs that returns data frames of Census data and metadata. Available datasets include the Decennial Census, American Community Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, Population Estimates and Projections, and more.
Author: Hannah Recht [aut, cre]
Maintainer: Hannah Recht <censusapi.rstats@gmail.com>

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Package mongolite updated to version 3.1.1 with previous version 3.1.0 dated 2025-02-25

Title: Fast and Simple 'MongoDB' Client for R
Description: High-performance MongoDB client based on 'mongo-c-driver' and 'jsonlite'. Includes support for aggregation, indexing, map-reduce, streaming, encryption, enterprise authentication, and GridFS. The online user manual provides an overview of the available methods in the package: <https://jeroen.github.io/mongolite/>.
Author: Jeroen Ooms [aut, cre] , MongoDB, Inc [cph]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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Package rnpn updated to version 1.3.0 with previous version 1.2.9.0 dated 2024-08-19

Title: Interface to the National 'Phenology' Network 'API'
Description: Programmatic interface to the Web Service methods provided by the National 'Phenology' Network (<https://usanpn.org/>), which includes data on various life history events that occur at specific times.
Author: Jeff Switzer [aut, cre], Scott Chamberlain [aut], Lee Marsh [aut], Kevin Wong [aut], Eric R Scott [aut] , David LeBauer [ctb]
Maintainer: Jeff Switzer <jeff@usanpn.org>

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More information about rnpn at CRAN
Permanent link

Package MoEClust updated to version 1.6.0 with previous version 1.5.2 dated 2023-12-11

Title: Gaussian Parsimonious Clustering Models with Covariates and a Noise Component
Description: Clustering via parsimonious Gaussian Mixtures of Experts using the MoEClust models introduced by Murphy and Murphy (2020) <doi:10.1007/s11634-019-00373-8>. This package fits finite Gaussian mixture models with a formula interface for supplying gating and/or expert network covariates using a range of parsimonious covariance parameterisations from the GPCM family via the EM/CEM algorithm. Visualisation of the results of such models using generalised pairs plots and the inclusion of an additional noise component is also facilitated. A greedy forward stepwise search algorithm is provided for identifying the optimal model in terms of the number of components, the GPCM covariance parameterisation, and the subsets of gating/expert network covariates.
Author: Keefe Murphy [aut, cre] , Thomas Brendan Murphy [ctb]
Maintainer: Keefe Murphy <keefe.murphy@mu.ie>

Diff between MoEClust versions 1.5.2 dated 2023-12-11 and 1.6.0 dated 2025-03-05

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More information about MoEClust at CRAN
Permanent link

Package divest updated to version 1.2.0 with previous version 1.1.1 dated 2024-10-20

Title: Get Images Out of DICOM Format Quickly
Description: Provides tools to sort DICOM-format medical image files, and convert them to NIfTI-1 format.
Author: Jon Clayden [aut, cre] , Chris Rorden [aut], Martin J Fiedler [cph], Cong Xu [cph], Pascal Gloor [cph]
Maintainer: Jon Clayden <code@clayden.org>

Diff between divest versions 1.1.1 dated 2024-10-20 and 1.2.0 dated 2025-03-05

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More information about divest at CRAN
Permanent link

Package dataquieR updated to version 2.5.1 with previous version 2.5.0 dated 2025-02-20

Title: Data Quality in Epidemiological Research
Description: Data quality assessments guided by a 'data quality framework introduced by Schmidt and colleagues, 2021' <doi:10.1186/s12874-021-01252-7> target the data quality dimensions integrity, completeness, consistency, and accuracy. The scope of applicable functions rests on the availability of extensive metadata which can be provided in spreadsheet tables. Either standardized (e.g. as 'html5' reports) or individually tailored reports can be generated. For an introduction into the specification of corresponding metadata, please refer to the 'package website' <https://dataquality.qihs.uni-greifswald.de/VIN_Annotation_of_Metadata.html>.
Author: University Medicine Greifswald [cph], Elisa Kasbohm [aut] , Elena Salogni [aut] , Joany Marino [aut] , Adrian Richter [aut] , Carsten Oliver Schmidt [aut] , Stephan Struckmann [aut, cre] , German Research Foundation [fnd], National Research Data Inf [...truncated...]
Maintainer: Stephan Struckmann <stephan.struckmann@uni-greifswald.de>

Diff between dataquieR versions 2.5.0 dated 2025-02-20 and 2.5.1 dated 2025-03-05

 DESCRIPTION                                                                           |   18 
 MD5                                                                                   |  280 +--
 NEWS.md                                                                               |   25 
 R/000_options.R                                                                       |   24 
 R/acc_loess.R                                                                         |   34 
 R/acc_margins.R                                                                       |    8 
 R/acc_varcomp.R                                                                       |   26 
 R/dq_report_by.R                                                                      |   31 
 R/prep_check_for_dataquieR_updates.R                                                  |    1 
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 R/util_acc_loess_continuous.R                                                         |   44 
 R/util_acc_varcomp.R                                                                  |   16 
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 R/util_eval_to_dataquieR_result.R                                                     |    3 
 R/util_evaluate_calls.R                                                               |    4 
 R/util_generate_pages_from_report.R                                                   |    2 
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 R/util_margins_lm.R                                                                   |   42 
 R/util_margins_nom.R                                                                  |   19 
 R/util_margins_ord.R                                                                  |    6 
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 R/util_view_file.R                                                                    |   20 
 R/zzz_globs.R                                                                         |    2 
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 tests/testthat/test-acc_varcomp.R                                                     |    4 
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More information about dataquieR at CRAN
Permanent link

Package biglasso updated to version 1.6.1 with previous version 1.6.0 dated 2024-04-21

Title: Extending Lasso Model Fitting to Big Data
Description: Extend lasso and elastic-net model fitting for large data sets that cannot be loaded into memory. Designed to be more memory- and computation-efficient than existing lasso-fitting packages like 'glmnet' and 'ncvreg', thus allowing the user to analyze big data with limited RAM <doi:10.32614/RJ-2021-001>.
Author: Yaohui Zeng [aut], Chuyi Wang [aut], Tabitha Peter [aut], Patrick Breheny [aut, cre]
Maintainer: Patrick Breheny <patrick-breheny@uiowa.edu>

Diff between biglasso versions 1.6.0 dated 2024-04-21 and 1.6.1 dated 2025-03-05

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Package tidysdm updated to version 1.0.0 with previous version 0.9.5 dated 2024-06-23

Title: Species Distribution Models with Tidymodels
Description: Fit species distribution models (SDMs) using the 'tidymodels' framework, which provides a standardised interface to define models and process their outputs. 'tidysdm' expands 'tidymodels' by providing methods for spatial objects, models and metrics specific to SDMs, as well as a number of specialised functions to process occurrences for contemporary and palaeo datasets. The full functionalities of the package are described in Leonardi et al. (2023) <doi:10.1101/2023.07.24.550358>.
Author: Michela Leonardi [aut], Margherita Colucci [aut], Andrea Vittorio Pozzi [aut], Eleanor M.L. Scerri [aut], Ben Tupper [ctb], Andrea Manica [aut, cre]
Maintainer: Andrea Manica <am315@cam.ac.uk>

Diff between tidysdm versions 0.9.5 dated 2024-06-23 and 1.0.0 dated 2025-03-05

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More information about tidysdm at CRAN
Permanent link

Package lingglosses updated to version 0.0.9 with previous version 0.0.8 dated 2024-09-06

Title: Interlinear Glossed Linguistic Examples and Abbreviation Lists Generation
Description: Helps to render interlinear glossed linguistic examples in html 'rmarkdown' documents and then semi-automatically compiles the list of glosses at the end of the document. It also provides a database of linguistic glosses.
Author: George Moroz [aut, cre]
Maintainer: George Moroz <agricolamz@gmail.com>

Diff between lingglosses versions 0.0.8 dated 2024-09-06 and 0.0.9 dated 2025-03-05

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More information about lingglosses at CRAN
Permanent link

New package MetabolSSMF with initial version 0.1.0
Package: MetabolSSMF
Title: Simplex-Structured Matrix Factorisation for Metabolomics Analysis
Version: 0.1.0
Maintainer: Wenxuan Liu <wenxuan.liu@ucdconnect.ie>
Description: Provides a framework to perform soft clustering using simplex-structured matrix factorisation (SSMF). The package contains a set of functions for determining the optimal number of prototypes, the optimal algorithmic parameters, the estimation confidence intervals and the diversity of clusters. Abdolali, Maryam & Gillis, Nicolas (2020) <doi:10.1137/20M1354982>.
Encoding: UTF-8
LazyData: true
Imports: LaplacesDemon, NMF, doParallel, foreach, iterators, lsei, mclust, tidyr
Suggests: knitr, rmarkdown, caroline, ggsci, BiocManager, Biobase
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2025-03-04 12:33:25 UTC; vincentlau
Author: Wenxuan Liu [aut, cre], Thomas Brendan Murphy [aut], Lorraine Brennan [aut]
Repository: CRAN
Date/Publication: 2025-03-05 16:10:02 UTC

More information about MetabolSSMF at CRAN
Permanent link

Package GenMarkov updated to version 0.2.1 with previous version 0.2.0 dated 2023-12-19

Title: Multivariate Markov Chains
Description: Provides routines to estimate the Mixture Transition Distribution Model based on Raftery (1985) <http://www.jstor.org/stable/2345788> and Nicolau (2014) <doi:10.1111/sjos.12087> specifications, for multivariate data. Additionally, provides a function for the estimation of a new model for multivariate non-homogeneous Markov chains. This new specification, Generalized Multivariate Markov Chains (GMMC) was proposed by Carolina Vasconcelos and Bruno Damasio and considers (continuous or discrete) covariates exogenous to the Markov chain.
Author: Carolina Vasconcelos [aut, cre], Bruno Damasio [aut]
Maintainer: Carolina Vasconcelos <cvasconcelos@novaims.unl.pt>

Diff between GenMarkov versions 0.2.0 dated 2023-12-19 and 0.2.1 dated 2025-03-05

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More information about GenMarkov at CRAN
Permanent link

Package Coxmos updated to version 1.1.2 with previous version 1.1.1 dated 2025-02-06

Title: Cox MultiBlock Survival
Description: This software package provides Cox survival analysis for high-dimensional and multiblock datasets. It encompasses a suite of functions dedicated from the classical Cox regression to newest analysis, including Cox proportional hazards model, Stepwise Cox regression, and Elastic-Net Cox regression, Sparse Partial Least Squares Cox regression (sPLS-COX) incorporating three distinct strategies, and two Multiblock-PLS Cox regression (MB-sPLS-COX) methods. This tool is designed to adeptly handle high-dimensional data, and provides tools for cross-validation, plot generation, and additional resources for interpreting results. While references are available within the corresponding functions, key literature is mentioned below. Terry M Therneau (2024) <https://CRAN.R-project.org/package=survival>, Noah Simon et al. (2011) <doi:10.18637/jss.v039.i05>, Philippe Bastien et al. (2005) <doi:10.1016/j.csda.2004.02.005>, Philippe Bastien (2008) <doi:10.1016/j.chemolab.2007.09.009& [...truncated...]
Author: Pedro Salguero Garcia [aut, cre, rev] , Sonia Tarazona Campos [ths], Ana Conesa Cegarra [ths], Kassu Mehari Beyene [ctb], Luis Meira Machado [ctb], Marta Sestelo [ctb], Artur Araujo [ctb]
Maintainer: Pedro Salguero Garcia <pedrosalguerog@gmail.com>

Diff between Coxmos versions 1.1.1 dated 2025-02-06 and 1.1.2 dated 2025-03-05

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 Coxmos-1.1.2/Coxmos/R/Coxmos_isb_splsicox.R                    | 1220 ++--
 Coxmos-1.1.2/Coxmos/R/Coxmos_mb_splsdacox_dynamic.R            |   48 
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 Coxmos-1.1.2/Coxmos/R/Coxmos_multiblock_functions.R            | 1878 +++---
 Coxmos-1.1.2/Coxmos/R/Coxmos_plot_functions.R                  | 1276 +++-
 Coxmos-1.1.2/Coxmos/R/Coxmos_plot_functions_others.R           |   16 
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 Coxmos-1.1.2/Coxmos/R/Coxmos_sb_splsdrcox.R                    | 1620 ++---
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 Coxmos-1.1.2/Coxmos/R/Coxmos_splsdrcox_dynamic.R               | 2127 +++----
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 Coxmos-1.1.2/Coxmos/R/Coxmos_splsicox.R                        |   64 
 Coxmos-1.1.2/Coxmos/README.md                                  |    6 
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 Coxmos-1.1.2/Coxmos/man/mb.splsdacox.Rd                        |    4 
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New package RplotterPkg with initial version 0.1.3
Package: RplotterPkg
Title: R Plotting Functions Using 'ggplot2'
Version: 0.1.3
Description: Makes it easy to produce everyday 'ggplot2' charts in a functional way without an extensive "tree" implementation. The package includes over 15 functions for the production and arrangement of basic graphing.
License: MIT + file LICENSE
URL: https://github.com/deandevl/RplotterPkg
BugReports: https://github.com/deandevl/RplotterPkg/issues
Depends: R (>= 4.4.0)
Imports: ggplot2 (>= 3.5.1), data.table (>= 1.16.4), rlang (>= 1.1.4), gt (>= 0.11.1), gtable (>= 0.3.6), glue (>= 1.8.0), purrr (>= 1.0.2), ggplotify (>= 0.1.2), aplpack (>= 1.3.5), methods
Suggests: knitr (>= 1.49), RColorBrewer (>= 1.1-3), rmarkdown (>= 2.29), testthat (>= 3.0.0), vdiffr (>= 1.0.8), here (>= 1.0.1), socviz (>= 1.2), tsbox (>= 0.4.1), gapminder (>= 0.3.0), palmerpenguins (>= 0.1.1), spData (>= 2.3.3), sf (>= 1.0-19), raster (>= 3.6-30), elevatr (>= 0.99.0), maps (>= 3.4.1)
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-03-04 12:27:49 UTC; deanr
Author: Rick Dean [aut, cre, cph]
Maintainer: Rick Dean <deanr3@bardstown.com>
Repository: CRAN
Date/Publication: 2025-03-05 16:00:02 UTC

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New package revise with initial version 0.1.0
Package: revise
Title: Dynamic Revision Letters for 'Rmarkdown' Manuscripts
Version: 0.1.0
Description: Extracts tagged text from markdown manuscripts for inclusion in dynamically generated revision letters. Provides an R markdown template based on papaja::revision_letter_pdf() with comment cross-referencing, a system for managing multiple sections of extracted text, and a way to automatically determine the page number of quoted sections from PDF manuscripts.
License: MIT + file LICENCE
URL: https://github.com/conig/revise
BugReports: https://github.com/conig/revise/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: bookdown, dplyr, glue, knitr, papaja, rmarkdown, rstudioapi, stringr, pdftools, officer, xml2, worcs, cli
Suggests: googledrive, docxtractr, testthat (>= 3.0.0)
SystemRequirements: pandoc (>= 1.14) - http://pandoc.org
NeedsCompilation: no
Packaged: 2025-03-04 00:40:21 UTC; conig
Author: James Conigrave [aut, cre] , Philip Parker [aut] , Taren Sanders [aut] , Michael Noetel [aut] , Caspar J. Van Lissa [aut]
Maintainer: James Conigrave <james.conigrave@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-05 15:50:02 UTC

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Package locfit updated to version 1.5-9.12 with previous version 1.5-9.11 dated 2025-02-03

Title: Local Regression, Likelihood and Density Estimation
Description: Local regression, likelihood and density estimation methods as described in the 1999 book by Loader.
Author: Catherine Loader [aut], Jiayang Sun [ctb], Lucent Technologies [cph], Andy Liaw [cre]
Maintainer: Andy Liaw <andy_liaw@merck.com>

Diff between locfit versions 1.5-9.11 dated 2025-02-03 and 1.5-9.12 dated 2025-03-05

 DESCRIPTION     |    8 -
 MD5             |   54 ++++----
 src/S_enter.c   |   14 ++
 src/band.c      |   10 -
 src/cversion.h  |   30 ++++
 src/dbinom.c    |   15 ++
 src/dens_int.c  |    1 
 src/density.c   |    5 
 src/design.h    |    2 
 src/ev_kdtre.c  |    1 
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 src/frend.c     |    4 
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 src/lffuns.h    |  346 +++++++++++++++++++++++++++++++++++++++++++++-----------
 src/m_eigen.c   |    2 
 src/m_icirc.c   |    4 
 src/m_imont.c   |    2 
 src/m_isimp.c   |    7 +
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 src/math.c      |    2 
 src/mutil.h     |   22 ++-
 src/prob.c      |    5 
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 src/tube.h      |   33 ++++-
 src/weight.c    |    1 
 28 files changed, 465 insertions(+), 135 deletions(-)

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New package I14Y with initial version 0.1.0
Package: I14Y
Title: Search and Get Data from the I14Y Interoperability Platform of Switzerland
Version: 0.1.0
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>
Description: Search and download Swiss data and metadata from the I14Y interoperability platform of Switzerland using its public APIs <https://www.i14y.admin.ch/api/index.html>.
License: GPL (>= 3)
Imports: httr2, tibble, readr, cli, curl, rlang
Suggests: jsonlite, dplyr, stringr, BFS, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-03-04 10:56:50 UTC; felix
Author: Felix Luginbuhl [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-03-05 16:00:06 UTC

More information about I14Y at CRAN
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New package hatchR with initial version 0.3.2
Package: hatchR
Title: Predict Fish Hatch and Emergence Timing
Version: 0.3.2
Maintainer: Bryan M. Maitland <bryan.maitland@usda.gov>
Description: Predict hatch and emergence timing for a wide range of wild fishes using the effective value framework (Sparks et al., (2019) <DOI:10.1139/cjfas-2017-0468>). 'hatchR' offers users access to established phenological models and the flexibility to incorporate custom parameterizations using external datasets.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://bmait101.github.io/hatchR/, https://github.com/bmait101/hatchR
BugReports: https://github.com/bmait101/hatchR/issues
Depends: R (>= 4.1.0)
Imports: dplyr (>= 1.1.4), ggplot2 (>= 3.5.1), ggtext (>= 0.1.2), lifecycle (>= 1.0.4), lubridate (>= 1.9.4), rlang (>= 1.1.4), stats, tibble (>= 3.2.1), utils
Suggests: knitr (>= 1.49), readr (>= 2.1.5), purrr (>= 1.0.2), rmarkdown (>= 2.29), nycflights13 (>= 1.0.2), tidyr (>= 1.3.1), stringr (>= 1.5.1), ggridges (>= 0.5.6), patchwork (>= 1.3.0), testthat (>= 3.0.0), cli (>= 3.6.1)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-03 23:57:51 UTC; BryanMaitland
Author: Bryan M. Maitland [aut, cre] , Morgan M. Sparks [aut, cph] , Eli Felts [ctb]
Repository: CRAN
Date/Publication: 2025-03-05 15:40:02 UTC

More information about hatchR at CRAN
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New package ebm with initial version 0.1.0
Package: ebm
Title: Explainable Boosting Machines
Version: 0.1.0
Description: An interface to the 'Python' 'InterpretML' framework for fitting explainable boosting machines (EBMs); see Nori et al. (2019) <doi:10.48550/arXiv.1909.09223> for details. EBMs are a modern type of generalized additive model that use tree-based, cyclic gradient boosting with automatic interaction detection. They are often as accurate as state-of-the-art blackbox models while remaining completely interpretable.
Depends: R (>= 3.5.0)
Imports: reticulate, ggplot2 (>= 0.9.0), lattice
Suggests: htmltools, ISLR2, knitr, rmarkdown, rstudioapi
URL: https://github.com/bgreenwell/ebm, https://bgreenwell.github.io/ebm/
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-04 01:32:39 UTC; bgreenwell
Author: Brandon M. Greenwell [aut, cre]
Maintainer: Brandon M. Greenwell <greenwell.brandon@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-05 15:50:08 UTC

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New package ApplyPolygenicScore with initial version 3.0.1
Package: ApplyPolygenicScore
Title: Utilities for the Application of a Polygenic Score to a VCF
Version: 3.0.1
Description: Simple and transparent parsing of genotype/dosage data from an input Variant Call Format (VCF) file, matching of genotype coordinates to the component Single Nucleotide Polymorphisms (SNPs) of an existing polygenic score (PGS), and application of SNP weights to dosages for the calculation of a polygenic score for each individual in accordance with the additive weighted sum of dosages model. Methods are designed in reference to best practices described by Collister, Liu, and Clifton (2022) <doi:10.3389/fgene.2022.818574>.
Depends: R (>= 4.2.0)
Imports: vcfR, pROC, data.table, reshape2, BoutrosLab.plotting.general, lattice
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
License: GPL-2
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-04 01:32:04 UTC; nzeltser
Author: Paul Boutros [cre], Nicole Zeltser [aut] , Rachel Dang [ctb]
Maintainer: Paul Boutros <PBoutros@mednet.ucla.edu>
Repository: CRAN
Date/Publication: 2025-03-05 15:50:15 UTC

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Package REDCapCAST updated to version 25.3.1 with previous version 25.1.1 dated 2025-01-29

Title: REDCap Metadata Casting and Castellated Data Handling
Description: Casting metadata for REDCap database creation and handling of castellated data using repeated instruments and longitudinal projects in 'REDCap'. Keeps a focused data export approach, by allowing to only export required data from the database. Also for casting new REDCap databases based on datasets from other sources. Originally forked from the R part of 'REDCapRITS' by Paul Egeler. See <https://github.com/pegeler/REDCapRITS>. 'REDCap' (Research Electronic Data Capture) is a secure, web-based software platform designed to support data capture for research studies, providing 1) an intuitive interface for validated data capture; 2) audit trails for tracking data manipulation and export procedures; 3) automated export procedures for seamless data downloads to common statistical packages; and 4) procedures for data integration and interoperability with external sources (Harris et al (2009) <doi:10.1016/j.jbi.2008.08.010>; Harris et al (2019) <doi:10.1016/j.jbi.2019.103208> [...truncated...]
Author: Andreas Gammelgaard Damsbo [aut, cre] , Paul Egeler [aut]
Maintainer: Andreas Gammelgaard Damsbo <agdamsbo@clin.au.dk>

Diff between REDCapCAST versions 25.1.1 dated 2025-01-29 and 25.3.1 dated 2025-03-05

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 NAMESPACE                       |    3 
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 README.md                       |    3 
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Package mllrnrs updated to version 0.0.5 with previous version 0.0.4 dated 2024-07-05

Title: R6-Based ML Learners for 'mlexperiments'
Description: Enhances 'mlexperiments' <https://CRAN.R-project.org/package=mlexperiments> with additional machine learning ('ML') learners. The package provides R6-based learners for the following algorithms: 'glmnet' <https://CRAN.R-project.org/package=glmnet>, 'ranger' <https://CRAN.R-project.org/package=ranger>, 'xgboost' <https://CRAN.R-project.org/package=xgboost>, and 'lightgbm' <https://CRAN.R-project.org/package=lightgbm>. These can be used directly with the 'mlexperiments' R package.
Author: Lorenz A. Kapsner [cre, aut, cph]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner@gmail.com>

Diff between mllrnrs versions 0.0.4 dated 2024-07-05 and 0.0.5 dated 2025-03-05

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 NAMESPACE                                 |   18 -
 R/learner_glmnet.R                        |   24 +-
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 inst/doc/mllrnrs_xgboost_regression.qmd   |    1 
 man/LearnerGlmnet.Rd                      |  296 ++++++++++++-------------
 man/LearnerLightgbm.Rd                    |  342 +++++++++++++++---------------
 man/LearnerRanger.Rd                      |  298 +++++++++++++-------------
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 tests/testthat.R                          |   27 +-
 tests/testthat/test-glmnet_binary.R       |  288 ++++++++++++-------------
 tests/testthat/test-glmnet_regression.R   |  300 +++++++++++++-------------
 tests/testthat/test-lightgbm_regression.R |  314 +++++++++++++--------------
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 tests/testthat/test-xgboost_binary.R      |  211 ++++++++----------
 tests/testthat/test-xgboost_multiclass.R  |   15 -
 tests/testthat/test-xgboost_regression.R  |  295 ++++++++++++-------------
 vignettes/mllrnrs_glmnet_binary.qmd       |    1 
 vignettes/mllrnrs_glmnet_multiclass.qmd   |   30 +-
 vignettes/mllrnrs_glmnet_regression.qmd   |    1 
 vignettes/mllrnrs_lightgbm_binary.qmd     |    1 
 vignettes/mllrnrs_lightgbm_multiclass.qmd |   40 +--
 vignettes/mllrnrs_lightgbm_regression.qmd |    1 
 vignettes/mllrnrs_ranger_binary.qmd       |    1 
 vignettes/mllrnrs_ranger_multiclass.qmd   |   26 +-
 vignettes/mllrnrs_ranger_regression.qmd   |    1 
 vignettes/mllrnrs_xgboost_binary.qmd      |    1 
 vignettes/mllrnrs_xgboost_multiclass.qmd  |   35 +--
 vignettes/mllrnrs_xgboost_regression.qmd  |    1 
 60 files changed, 1955 insertions(+), 2057 deletions(-)

More information about mllrnrs at CRAN
Permanent link

Package tutorial.helpers updated to version 0.4.2 with previous version 0.3.1 dated 2024-12-07

Title: Helper Functions for Creating Tutorials
Description: Helper functions for creating, editing, and testing tutorials created with the 'learnr' package. Provides a simple method for allowing students to download their answers to tutorial questions. For examples of its use, see the 'r4ds.tutorials' package.
Author: David Kane [aut, cre, cph]
Maintainer: David Kane <dave.kane@gmail.com>

Diff between tutorial.helpers versions 0.3.1 dated 2024-12-07 and 0.4.2 dated 2025-03-05

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Package tinyarray updated to version 2.4.3 with previous version 2.4.2 dated 2024-06-13

Title: Expression Data Analysis and Visualization
Description: The Gene Expression Omnibus (<https://www.ncbi.nlm.nih.gov/geo/>) and The Cancer Genome Atlas (<https://portal.gdc.cancer.gov/>) are widely used medical public databases. Our platform integrates routine analysis and visualization tools for expression data to provide concise and intuitive data analysis and presentation.
Author: Xiaojie Sun [aut, cre]
Maintainer: Xiaojie Sun <18763899370@163.com>

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Package strata updated to version 1.4.3 with previous version 1.4.0 dated 2025-02-03

Title: Simple Framework for Simple Automation
Description: Build a project framework for users with access to only the most basic of automation tools.
Author: Alexander Senetcky [aut, cre, cph]
Maintainer: Alexander Senetcky <asenetcky@gmail.com>

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Package SFM updated to version 0.2.0 with previous version 0.1.0 dated 2024-11-12

Title: A Package for Analyzing Skew Factor Models
Description: Generates Skew Factor Models data and applies Sparse Online Principal Component (SOPC), Incremental Principal Component (IPC), Projected Principal Component (PPC), Perturbation Principal Component (PPC), Stochastic Approximation Principal Component (SAPC), Sparse Principal Component (SPC) and other PC methods to estimate model parameters. It includes capabilities for calculating mean squared error, relative error, and sparsity of the loading matrix.The philosophy of the package is described in Guo G. (2023) <doi:10.1007/s00180-022-01270-z>.
Author: Guangbao Guo [aut, cre], Yu Jin [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

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New package RHC with initial version 0.1.0
Package: RHC
Title: Rangeland Health and Condition
Version: 0.1.0
Maintainer: Zahra Heidari Ghahfarrokhi <z.heidari.gh@gmail.com>
Description: The evaluation criteria of rangeland health, condition and landscape function analysis based on species diversity and functional diversity of rangeland plant communities.
License: GPL (>= 2)
Depends: R (>= 3.5.0), permute, lattice, ade4, geometry
Imports: vegan, FD, randomForest, stats, ggplot2, gridExtra
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-03-03 19:23:32 UTC; sana
Author: Zahra Heidari Ghahfarrokhi [aut, cre] , Pejman Tahmasebi [aut], Ali Asghar Naghipour [aut]
Repository: CRAN
Date/Publication: 2025-03-05 13:30:10 UTC

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Package PatientProfiles updated to version 1.3.1 with previous version 1.3.0 dated 2025-02-26

Title: Identify Characteristics of Patients in the OMOP Common Data Model
Description: Identify the characteristics of patients in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model.
Author: Marti Catala [aut, cre] , Yuchen Guo [aut] , Mike Du [aut] , Kim Lopez-Guell [aut] , Edward Burn [aut] , Nuria Mercade-Besora [aut] , Xintong Li [ctb] , Xihang Chen [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

Diff between PatientProfiles versions 1.3.0 dated 2025-02-26 and 1.3.1 dated 2025-03-05

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New package nemsqar with initial version 1.0.0
Package: nemsqar
Title: National Emergency Medical Service Quality Alliance Measure Calculations
Version: 1.0.0
Description: Designed to automate the calculation of Emergency Medical Service (EMS) quality metrics, 'nemsqar' implements measures defined by the National EMS Quality Alliance (NEMSQA). By providing reliable, evidence-based quality assessments, the package supports EMS agencies, healthcare providers, and researchers in evaluating and improving patient outcomes. Users can find details on all approved NEMSQA measures at <https://www.nemsqa.org/measures>. Full technical specifications, including documentation and pseudocode used to develop 'nemsqar', are available on the NEMSQA website after creating a user profile at <https://www.nemsqa.org>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), tidyr
URL: https://github.com/bemts-hhs/nemsqar, https://bemts-hhs.github.io/nemsqar/
BugReports: https://github.com/bemts-hhs/nemsqar/issues
Depends: R (>= 4.1)
Imports: cli (>= 3.6.4), dplyr (>= 1.1.4), lubridate (>= 1.9.4), rlang (>= 1.1.5), tibble (>= 3.2.1), tidyselect (>= 1.2.1)
LazyData: true
LazyDataCompression: bzip2
NeedsCompilation: no
Packaged: 2025-03-03 16:28:01 UTC; nfoss0
Author: Nicolas Foss [aut, cre], Samuel Kordik [aut] , Alyssa Green [ctb], Iowa Department of Health and Human Services [cph]
Maintainer: Nicolas Foss <nicolas.foss@hhs.iowa.gov>
Repository: CRAN
Date/Publication: 2025-03-05 13:20:06 UTC

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Package leaflet.extras2 updated to version 1.3.1 with previous version 1.3.0 dated 2025-01-12

Title: Extra Functionality for 'leaflet' Package
Description: Several 'leaflet' plugins are integrated, which are available as extension to the 'leaflet' package.
Author: Gatscha Sebastian [aut, cre], Ricardo Rodrigo Basa [ctb], Jeffrey O Hanson [ctb]
Maintainer: Gatscha Sebastian <sebastian_gatscha@gmx.at>

Diff between leaflet.extras2 versions 1.3.0 dated 2025-01-12 and 1.3.1 dated 2025-03-05

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Package huxtable updated to version 5.6.0 with previous version 5.5.7 dated 2024-10-01

Title: Easily Create and Style Tables for LaTeX, HTML and Other Formats
Description: Creates styled tables for data presentation. Export to HTML, LaTeX, RTF, 'Word', 'Excel', and 'PowerPoint'. Simple, modern interface to manipulate borders, size, position, captions, colours, text styles and number formatting. Table cells can span multiple rows and/or columns. Includes a 'huxreg' function for creation of regression tables, and 'quick_*' one-liners to print data to a new document.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

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New package ecotrends with initial version 1.0
Package: ecotrends
Title: Temporal Trends in Ecological Niche Models
Version: 1.0
Maintainer: A. Marcia Barbosa <ana.marcia.barbosa@gmail.com>
Description: Computes temporal trends in environmental suitability obtained from ecological niche models, based on a set of species presence point coordinates and predictor variables.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/AMBarbosa/ecotrends
BugReports: https://github.com/AMBarbosa/ecotrends/issues
Depends: R (>= 3.6)
Suggests:
Imports: collinear (>= 2.0.0), fuzzySim (>= 4.26), maxnet, modEvA (>= 3.21), terra (>= 1.4-19), trend
NeedsCompilation: no
Packaged: 2025-03-03 17:11:43 UTC; marcia
Author: A. Marcia Barbosa [aut, cre], Joao Alirio [aut], Nuno Garcia [aut], Joao Campos [aut], Ana Claudia Teodoro [aut], Lia Barbara Duarte [aut], Isabel Pocas [aut], Salvador Arenas-Castro [aut], Neftali Sillero [aut]
Repository: CRAN
Date/Publication: 2025-03-05 13:20:19 UTC

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Package boot.pval updated to version 0.7.0 with previous version 0.6 dated 2025-01-14

Title: Bootstrap p-Values
Description: Computation of bootstrap p-values through inversion of confidence intervals, including convenience functions for regression models and tests of location.
Author: Mans Thulin [aut, cre]
Maintainer: Mans Thulin <mans@statistikkonsult.com>

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Permanent link

New package connected with initial version 1.1
Package: connected
Title: Visualize and Improve Connectedness of Factors in Tables
Version: 1.1
Description: Visualize the connectedness of factors in two-way tables. Perform two-way filtering to improve the degree of connectedness. See Weeks & Williams (1964) <doi:10.1080/00401706.1964.10490188>.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: grDevices, lattice, lfe, reshape2, stats
Suggests: agridat, dplyr, janitor, knitr, lme4, lucid, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
URL: https://kwstat.github.io/connected/
BugReports: https://github.com/kwstat/connected/issues
NeedsCompilation: no
Packaged: 2025-03-03 19:01:50 UTC; wrightkevi
Author: Kevin Wright [aut, cre]
Maintainer: Kevin Wright <kw.stat@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-05 13:30:02 UTC

More information about connected at CRAN
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New package BiVariAn with initial version 1.0.1
Package: BiVariAn
Title: Bivariate Automatic Analysis
Version: 1.0.1
Date: 2025-03-03
Maintainer: Jose Andres Flores-Garcia <andres.flores@uaslp.mx>
Description: Simplify bivariate and regression analyses by automating result generation, including summary tables, statistical tests, and customizable graphs. It supports tests for continuous and dichotomous data, as well as stepwise regression for linear, logistic, and Firth penalized logistic models. While not a substitute for tailored analysis, 'BiVariAn' accelerates workflows and is expanding features like multilingual interpretations of results.The methods for selecting significant statistical tests, as well as the predictor selection in prediction functions, can be referenced in the works of Marc Kery (2003) <doi:10.1890/0012-9623(2003)84[92:NORDIG]2.0.CO;2> and Rainer Puhr (2017) <doi:10.1002/sim.7273>.
License: GPL (>= 3)
URL: https://github.com/AndresFloresG/BiVariAn
BugReports: https://github.com/AndresFloresG/BiVariAn/issues
Imports: car, DescTools, dplyr, epitools, fastDummies, ggplot2, ggprism, glue, lifecycle, logistf, magrittr, rlang, rrtable, scales, stats, table1, tidyr, utils
Suggests: knitr, riskCommunicator, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-03-03 15:07:36 UTC; andre
Author: Jose Andres Flores-Garcia [cre, aut, cph] , Antonio Augusto Gordillo-Moscoso [aut] , Jhoselin Marian Castro-Rodriguez [aut]
Repository: CRAN
Date/Publication: 2025-03-05 13:10:02 UTC

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Package rqti updated to version 1.0.0 with previous version 0.3.0 dated 2024-07-19

Title: Create Tests According to QTI 2.1 Standard
Description: Create tests and tasks compliant with the Question & Test Interoperability (QTI) information model version 2.1. Input sources are Rmd/md description files or S4-class objects. Output formats include standalone zip or xml files. Supports the generation of basic task types (single and multiple choice, order, pair association, matching tables, filling gaps and essay) and provides a comprehensive set of attributes for customizing tests.
Author: Andrey Shevandrin [aut, cre, cph] , Petr Bondarenko [ctb] , Ivonne Ojeda [ctb], Johannes Titz [aut, cph] , Brian Mottershead [cph] , Stiftung fuer Innovation in der Hochschullehre [fnd]
Maintainer: Andrey Shevandrin <shevandrin@gmail.com>

Diff between rqti versions 0.3.0 dated 2024-07-19 and 1.0.0 dated 2025-03-05

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 rqti-1.0.0/rqti/DESCRIPTION                                                           |   24 
 rqti-1.0.0/rqti/MD5                                                                   |  259 
 rqti-1.0.0/rqti/NAMESPACE                                                             |  253 
 rqti-1.0.0/rqti/NEWS.md                                                               |   86 
 rqti-1.0.0/rqti/R/AssessmentItem.R                                                    |   21 
 rqti-1.0.0/rqti/R/AssessmentSection.R                                                 |   49 
 rqti-1.0.0/rqti/R/AssessmentTest.R                                                    |   87 
 rqti-1.0.0/rqti/R/AssessmentTestOpal.R                                                |   93 
 rqti-1.0.0/rqti/R/CorrectFeedback.R                                                   |    7 
 rqti-1.0.0/rqti/R/DirectedPair.R                                                      |  274 
 rqti-1.0.0/rqti/R/Entry.R                                                             |    7 
 rqti-1.0.0/rqti/R/Essay.R                                                             |  327 
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 rqti-1.0.0/rqti/R/OneInColTable.R                                                     |  247 
 rqti-1.0.0/rqti/R/OneInRowTable.R                                                     |  247 
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 rqti-1.0.0/rqti/R/Ordering.R                                                          |  345 
 rqti-1.0.0/rqti/R/QtiMetadata.R                                                       |   70 
 rqti-1.0.0/rqti/R/SingleChoice.R                                                      |  291 
 rqti-1.0.0/rqti/R/WrongFeedback.R                                                     |    7 
 rqti-1.0.0/rqti/R/character.R                                                         |   39 
 rqti-1.0.0/rqti/R/extract_results.R                                                   |   31 
 rqti-1.0.0/rqti/R/knit_functions.R                                                    |    8 
 rqti-1.0.0/rqti/R/object_builder.R                                                    |   25 
 rqti-1.0.0/rqti/R/qti_task.R                                                          |   44 
 rqti-1.0.0/rqti/R/qti_test.R                                                          |  479 
 rqti-1.0.0/rqti/R/response_processing.R                                               |   20 
 rqti-1.0.0/rqti/R/rqti_project.R                                                      |    3 
 rqti-1.0.0/rqti/R/section_builder.R                                                   |  741 
 rqti-1.0.0/rqti/inst/QTIJS/index.xml                                                  |  315 
 rqti-1.0.0/rqti/inst/QTIJS/qti.js                                                     |   32 
 rqti-1.0.0/rqti/inst/QTIJS/rqti.js                                                    |    2 
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 rqti-1.0.0/rqti/inst/test_results.zip                                                 |binary
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 rqti-1.0.0/rqti/man/Entry-class.Rd                                                    |    2 
 rqti-1.0.0/rqti/man/Essay-class.Rd                                                    |    2 
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 rqti-1.0.0/rqti/man/Ordering-class.Rd                                                 |    2 
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 rqti-1.0.0/rqti/man/directedPair.Rd                                                   |   11 
 rqti-1.0.0/rqti/man/essay.Rd                                                          |   29 
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 rqti-1.0.0/rqti/man/oneInColTable.Rd                                                  |    8 
 rqti-1.0.0/rqti/man/oneInRowTable.Rd                                                  |    8 
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 rqti-1.0.0/rqti/man/ordering.Rd                                                       |    6 
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 rqti-1.0.0/rqti/man/qti_metadata.Rd                                                   |    2 
 rqti-1.0.0/rqti/man/singleChoice.Rd                                                   |    6 
 rqti-1.0.0/rqti/man/test.Rd                                                           |   12 
 rqti-1.0.0/rqti/man/test4opal.Rd                                                      |   12 
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 rqti-1.0.0/rqti/man/upload2opal.Rd                                                    |   18 
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 rqti-1.0.0/rqti/man/wrongFeedback.Rd                                                  |    6 
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 rqti-1.0.0/rqti/tests/testthat/test-qti_metadata.R                                    |    8 
 rqti-1.0.0/rqti/tests/testthat/test-qti_task.R                                        |    2 
 rqti-1.0.0/rqti/tests/testthat/test-text_gap.R                                        |  835 
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 149 files changed, 14224 insertions(+), 13549 deletions(-)

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New package pintervals with initial version 0.7.5
Package: pintervals
Title: Model Agnostic Prediction Intervals
Version: 0.7.5
Description: Provides tools for estimating model-agnostic prediction intervals using conformal prediction, bootstrapping, and parametric prediction intervals. The package is designed for ease of use, offering intuitive functions for both binned and full conformal prediction methods, as well as parametric interval estimation with diagnostic checks. Currently only working for continuous predictions. For details on the conformal and bin-conditional conformal prediction methods, see Randahl, Williams, and Hegre (2024) <DOI:10.48550/arXiv.2410.14507>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, foreach, tibble
NeedsCompilation: no
Packaged: 2025-03-03 15:10:43 UTC; david
Author: David Randahl [aut, cre], Jonathan P. Wiliams [ctb]
Maintainer: David Randahl <david.randahl@pcr.uu.se>
Repository: CRAN
Date/Publication: 2025-03-05 13:00:02 UTC

More information about pintervals at CRAN
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New package PhenoSpectra with initial version 0.1.0
Package: PhenoSpectra
Title: Multispectral Data Analysis and Visualization
Version: 0.1.0
Description: Provides tools for processing, analyzing, and visualizing spectral data collected from 3D laser-based scanning systems. Supports applications in agriculture, forestry, environmental monitoring, industrial quality control, and biomedical research. Enables evaluation of plant growth, productivity, resource efficiency, disease management, and pest monitoring. Includes statistical methods for extracting insights from multispectral and hyperspectral data and generating publication-ready visualizations. See Zieschank & Junker (2023) <doi:10.3389/fpls.2023.1141554> and Saric et al. (2022) <doi:10.1016/J.TPLANTS.2021.12.003> for related work.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: readxl, writexl, dplyr, tidyr, data.table, lubridate, openxlsx, broom, magrittr, rlang, utils, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-03 08:17:30 UTC; gmpnw
Author: Medhat Mahmoud [aut, cre], Arianna Del Papa [ctb], Melina Rampelmann [ctb], Patrick Dohle [ctb]
Maintainer: Medhat Mahmoud <medhat.mahmoud@bayer.com>
Repository: CRAN
Date/Publication: 2025-03-05 13:00:09 UTC

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New package mixtree with initial version 0.0.1
Package: mixtree
Title: A Statistical Framework for Comparing Sets of Trees
Version: 0.0.1
Description: Statistical framework for comparing sets of trees using hypothesis testing methods. Designed for transmission trees, phylogenetic trees, and directed acyclic graphs (DAGs), the package implements chi-squared tests to compare edge frequencies between sets and PERMANOVA to analyse topological dissimilarities with customisable distance metrics, following Anderson (2001) <doi:10.1111/j.1442-9993.2001.01070.pp.x>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: igraph, treespace, vegan
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://cygei.github.io/mixtree/
NeedsCompilation: no
Packaged: 2025-03-03 11:48:59 UTC; cg1521
Author: Cyril Geismar [aut, cre, cph]
Maintainer: Cyril Geismar <c.geismar21@imperial.ac.uk>
Repository: CRAN
Date/Publication: 2025-03-05 13:00:06 UTC

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Package spatstat.univar updated to version 3.1-2 with previous version 3.1-1 dated 2024-11-04

Title: One-Dimensional Probability Distribution Support for the 'spatstat' Family
Description: Estimation of one-dimensional probability distributions including kernel density estimation, weighted empirical cumulative distribution functions, Kaplan-Meier and reduced-sample estimators for right-censored data, heat kernels, kernel properties, quantiles and integration.
Author: Adrian Baddeley [aut, cre, cph] , Tilman M. Davies [aut, ctb, cph] , Martin L. Hazelton [aut, ctb, cph] , Ege Rubak [aut, cph] , Rolf Turner [aut, cph] , Greg McSwiggan [ctb, cph]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.univar versions 3.1-1 dated 2024-11-04 and 3.1-2 dated 2025-03-05

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 MD5                        |   14 +--
 NEWS                       |    8 +
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 man/densityBC.Rd           |  181 +++++++++++++++++++++++++++++++++++++--------
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 8 files changed, 179 insertions(+), 46 deletions(-)

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Package hbamr updated to version 2.4.2 with previous version 2.4.1 dated 2025-02-13

Title: Hierarchical Bayesian Aldrich-McKelvey Scaling via 'Stan'
Description: Perform hierarchical Bayesian Aldrich-McKelvey scaling using Hamiltonian Monte Carlo via 'Stan'. Aldrich-McKelvey ('AM') scaling is a method for estimating the ideological positions of survey respondents and political actors on a common scale using positional survey data. The hierarchical versions of the Bayesian 'AM' model included in this package outperform other versions both in terms of yielding meaningful posterior distributions for respondent positions and in terms of recovering true respondent positions in simulations. The package contains functions for preparing data, fitting models, extracting estimates, plotting key results, and comparing models using cross-validation. The original version of the default model is described in Bølstad (2024) <doi:10.1017/pan.2023.18>.
Author: Joergen Boelstad [aut, cre]
Maintainer: Joergen Boelstad <jorgen.bolstad@stv.uio.no>

Diff between hbamr versions 2.4.1 dated 2025-02-13 and 2.4.2 dated 2025-03-05

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Package scientific updated to version 2025.1 with previous version 2025.0 dated 2025-02-02

Title: Two Highly Customizable 'rmarkdown' Themes for Scientific Reports
Description: Offers 'markdown' output formats designed with various styles, allowing users to generate HTML reports tailored for scientific or machine learning showcase. The output has a contemporary appearance with vibrant visuals, providing numerous styles for effective highlighting. Created using the 'tufte' <https://rstudio.github.io/tufte/> package code as a starting point.
Author: Obinna Obianom [aut, cre]
Maintainer: Obinna Obianom <idonshayo@gmail.com>

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Package ravetools updated to version 0.2.2 with previous version 0.2.1 dated 2025-01-24

Title: Signal and Image Processing Toolbox for Analyzing Intracranial Electroencephalography Data
Description: Implemented fast and memory-efficient Notch-filter, Welch-periodogram, discrete wavelet spectrogram for minutes of high-resolution signals, fast 3D convolution, image registration, 3D mesh manipulation; providing fundamental toolbox for intracranial Electroencephalography (iEEG) pipelines. Documentation and examples about 'RAVE' project are provided at <https://rave.wiki>, and the paper by John F. Magnotti, Zhengjia Wang, Michael S. Beauchamp (2020) <doi:10.1016/j.neuroimage.2020.117341>; see 'citation("ravetools")' for details.
Author: Zhengjia Wang [aut, cre], John Magnotti [aut], Michael Beauchamp [aut], Trustees of the University of Pennsylvania [cph] , Karim Rahim [cph, ctb] , Thomas Possidente [cph, ctb] , Michael Prerau [cph, ctb] , Marcus Geelnard [ctb, cph] , Stefan Schlage [...truncated...]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package jstable updated to version 1.3.9 with previous version 1.3.8 dated 2024-12-11

Title: Create Tables from Different Types of Regression
Description: Create regression tables from generalized linear model(GLM), generalized estimating equation(GEE), generalized linear mixed-effects model(GLMM), Cox proportional hazards model, survey-weighted generalized linear model(svyglm) and survey-weighted Cox model results for publication.
Author: Jinseob Kim [aut, cre] , Zarathu [cph, fnd], Yoonkyoung Jeon [aut], Jaehun Shon [aut], Hyojong Myung [aut], Hyungwoo Jo [aut]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package hce updated to version 0.7.0 with previous version 0.6.7 dated 2025-01-07

Title: Design and Analysis of Hierarchical Composite Endpoints
Description: Simulate and analyze hierarchical composite endpoints. Win odds is the main analysis method, but other win statistics (win ratio, net benefit) are also implemented, provided there is no censoring. See Gasparyan SB et al (2023) "Hierarchical Composite Endpoints in COVID-19: The DARE-19 Trial." Case Studies in Innovative Clinical Trials, 95-148. Chapman; Hall/CRC. <doi:10.1201/9781003288640-7>.
Author: Samvel B. Gasparyan [aut, cre]
Maintainer: Samvel B. Gasparyan <gasparyan.co@gmail.com>

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Package wqspt updated to version 1.0.2 with previous version 1.0.1 dated 2023-03-06

Title: Permutation Test for Weighted Quantile Sum Regression
Description: Implements a permutation test method for the weighted quantile sum (WQS) regression, building off the 'gWQS' package (Renzetti et al. <https://CRAN.R-project.org/package=gWQS>). Weighted quantile sum regression is a statistical technique to evaluate the effect of complex exposure mixtures on an outcome (Carrico et al. 2015 <doi:10.1007/s13253-014-0180-3>). The model features a statistical power and Type I error (i.e., false positive) rate trade-off, as there is a machine learning step to determine the weights that optimize the linear model fit. This package provides an alternative method based on a permutation test that should reliably allow for both high power and low false positive rate when utilizing WQS regression (Day et al. 2022 <doi:10.1289/EHP10570>).
Author: Drew Day [aut, cre], James Peng [aut], Adam Szpiro [aut]
Maintainer: Drew Day <dday612@gmail.com>

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New package pct with initial version 0.10.0
Package: pct
Title: Propensity to Cycle Tool
Version: 0.10.0
Description: Functions and example data to teach and increase the reproducibility of the methods and code underlying the Propensity to Cycle Tool (PCT), a research project and web application hosted at <https://www.pct.bike/>. For an academic paper on the methods, see Lovelace et al (2017) <doi:10.5198/jtlu.2016.862>.
Depends: R (>= 3.5.0)
License: GPL-3
URL: https://itsleeds.github.io/pct/, https://github.com/ITSLeeds/pct
BugReports: https://github.com/ITSLeeds/pct/issues
Encoding: UTF-8
LazyData: true
Imports: boot, stplanr (>= 0.2.8), readr, sf, crul
Suggests: covr, curl, dplyr, ggplot2, knitr, leaflet, pbapply, remotes, rmarkdown, tmap, bookdown
VignetteBuilder: knitr
Language: en-GB
NeedsCompilation: no
Packaged: 2025-03-04 23:38:32 UTC; robin
Author: Robin Lovelace [aut, cre] , Layik Hama [aut] , Nathanael Sheehan [ctb]
Maintainer: Robin Lovelace <rob00x@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-05 08:40:07 UTC

More information about pct at CRAN
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Package GerminaR updated to version 2.1.5 with previous version 2.1.4 dated 2022-05-18

Title: Indices and Graphics for Assess Seed Germination Process
Description: A collection of different indices and visualization techniques for evaluate the seed germination process in ecophysiological studies (Lozano-Isla et al. 2019) <doi:10.1111/1440-1703.1275>.
Author: Flavio Lozano-Isla [aut, cre] , Omar Benites Alfaro [aut] , Marcelo F. Pompelli [aut, ths] , Denise Garcia de Santana [aut], Marli A. Ranal [aut], Federal University of Pernambuco [cph] , Federal Rural University of Pernambuco [cph] , Inkaverse [ctb]
Maintainer: Flavio Lozano-Isla <flozanoisla@gmail.com>

Diff between GerminaR versions 2.1.4 dated 2022-05-18 and 2.1.5 dated 2025-03-05

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Package varycoef (with last version 0.3.4) was removed from CRAN

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

2022-09-17 0.3.4
2022-05-31 0.3.3

Permanent link

Tue, 04 Mar 2025

Package paws.common updated to version 0.8.2 with previous version 0.8.1 dated 2025-02-08

Title: Paws Low-Level Amazon Web Services API
Description: Functions for making low-level API requests to Amazon Web Services <https://aws.amazon.com>. The functions handle building, signing, and sending requests, and receiving responses. They are designed to help build higher-level interfaces to individual services, such as Simple Storage Service (S3).
Author: David Kretch [aut], Adam Banker [aut], Dyfan Jones [cre], Amazon.com, Inc. [cph]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

Diff between paws.common versions 0.8.1 dated 2025-02-08 and 0.8.2 dated 2025-03-04

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Package CompAREdesign updated to version 2.4.0 with previous version 2.3.1 dated 2024-02-15

Title: Statistical Functions for the Design of Studies with Composite Endpoints
Description: It has been designed to calculate the required sample size in randomized clinical trials with composite endpoints. It also calculates the expected effect and the probability of observing the composite endpoint, among others. The methodology can be found in Bofill & Gómez (2019) <doi:10.1002/sim.8092> and Gómez & Lagakos (2013) <doi:10.1002/sim.5547>.
Author: Marta Bofill Roig [aut, cre], Jordi Cortes Martinez [aut], Guadalupe Gomez Melis [ctb]
Maintainer: Marta Bofill Roig <marta.bofill.roig@upc.edu>

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Package pxmake updated to version 0.16.0 with previous version 0.15.1 dated 2025-02-17

Title: Make PX-Files in R
Description: Create PX-files from scratch or read and modify existing ones. Includes a function for every PX keyword, making metadata manipulation simple and human-readable.
Author: Johan Ejstrud [cre, aut], Lars Pedersen [aut], Statistics Greenland [cph]
Maintainer: Johan Ejstrud <johan@ejstrud.com>

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Package legendry updated to version 0.2.1 with previous version 0.2.0 dated 2024-12-14

Title: Extended Legends and Axes for 'ggplot2'
Description: A 'ggplot2' extension that focusses on expanding the plotter's arsenal of guides. Guides in 'ggplot2' include axes and legends. 'legendry' offers new axes and annotation options, as well as new legends and colour displays.
Author: Teun van den Brand [aut, cre, cph]
Maintainer: Teun van den Brand <tahvdbrand@gmail.com>

Diff between legendry versions 0.2.0 dated 2024-12-14 and 0.2.1 dated 2025-03-04

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New package dda with initial version 0.1.0
Package: dda
Title: Direction Dependence Analysis
Version: 0.1.0
License: MIT + file LICENSE
Maintainer: Wolfgang Wiedermann <wiedermannw@missouri.edu>
Description: A collection of tests to analyze the causal direction of dependence in linear models (Wiedermann, W., & von Eye, A., 2025, ISBN: 9781009381390). The package includes functions to perform Direction Dependence Analysis for variable distributions, residual distributions, and independence properties of predictors and residuals in competing causal models. In addition, the package contains functions to test the causal direction of dependence in conditional models (i.e., models with interaction terms) For more information see <https://www.ddaproject.com>.
Imports: dHSIC, energy, foreach, graphics, methods, stats
Suggests: boot, doParallel, devtools, interactions, iterators, lmtest, moments, spelling, testthat (>= 3.0.0), waldo
Encoding: UTF-8
URL: https://github.com/wwiedermann/dda
NeedsCompilation: no
Packaged: 2025-02-28 20:54:43 UTC; mhirni
Author: Wolfgang Wiedermann [aut, cre], Megan Hirni [aut]
Repository: CRAN
Date/Publication: 2025-03-04 21:00:01 UTC

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Package sate updated to version 2.4.0 with previous version 2.3.0 dated 2025-02-06

Title: Scientific Analysis of Trial Errors (SATE)
Description: Bundles functions used to analyze the harmfulness of trial errors in criminal trials. Functions in the Scientific Analysis of Trial Errors ('SATE') package help users estimate the probability that a jury will find a defendant guilty given jurors' preferences for a guilty verdict and the uncertainty of that estimate. Users can also compare actual and hypothetical trial conditions to conduct harmful error analysis. The relationship between individual jurors' verdict preferences and the probability that a jury returns a guilty verdict has been studied by Davis (1973) <doi:10.1037/h0033951>; MacCoun & Kerr (1988) <doi:10.1037/0022-3514.54.1.21>, and Devine et el. (2001) <doi:10.1037/1076-8971.7.3.622>, among others.
Author: Barry Edwards [aut, cre]
Maintainer: Barry Edwards <bce@uga.edu>

Diff between sate versions 2.3.0 dated 2025-02-06 and 2.4.0 dated 2025-03-04

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Package sgs updated to version 0.3.5 with previous version 0.3.4 dated 2025-02-06

Title: Sparse-Group SLOPE: Adaptive Bi-Level Selection with FDR Control
Description: Implementation of Sparse-group SLOPE (SGS) (Feser and Evangelou (2023) <doi:10.48550/arXiv.2305.09467>) models. Linear and logistic regression models are supported, both of which can be fit using k-fold cross-validation. Dense and sparse input matrices are supported. In addition, a general Adaptive Three Operator Splitting (ATOS) (Pedregosa and Gidel (2018) <doi:10.48550/arXiv.1804.02339>) implementation is provided. Group SLOPE (gSLOPE) (Brzyski et al. (2019) <doi:10.1080/01621459.2017.1411269>) and group-based OSCAR models (Feser and Evangelou (2024) <doi:10.48550/arXiv.2405.15357>) are also implemented. All models are available with strong screening rules (Feser and Evangelou (2024) <doi:10.48550/arXiv.2405.15357>) for computational speed-up.
Author: Fabio Feser [aut, cre]
Maintainer: Fabio Feser <ff120@ic.ac.uk>

Diff between sgs versions 0.3.4 dated 2025-02-06 and 0.3.5 dated 2025-03-04

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Package scoutbaR updated to version 0.1.0 with previous version 0.0.1 dated 2024-11-21

Title: A Spotlight 'React' Widget for 'shiny' Apps
Description: Creates a contextual menu that can be triggered with keyboard shortcuts or programmatically. This can replace traditional sidebars or navigation bars, thereby enhancing the user experience with lighter user interfaces.
Author: David Granjon [aut, cre], Adenekan Wonderful [cph]
Maintainer: David Granjon <dgranjon@ymail.com>

Diff between scoutbaR versions 0.0.1 dated 2024-11-21 and 0.1.0 dated 2025-03-04

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Package isopleuros updated to version 1.4.0 with previous version 1.3.0 dated 2024-11-22

Title: Ternary Plots
Description: Ternary plots made simple. This package allows to create ternary plots using 'graphics'. It provides functions to display the data in the ternary space, to add or tune graphical elements and to display statistical summaries. It also includes common ternary diagrams which are useful for the archaeologist (e.g. soil texture charts, ceramic phase diagram).
Author: Nicolas Frerebeau [aut, cre] , Brice Lebrun [art] , Universite Bordeaux Montaigne [fnd] , CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package secretbase updated to version 1.0.5 with previous version 1.0.4 dated 2025-01-16

Title: Cryptographic Hash, Extendable-Output and Base64 Functions
Description: Fast and memory-efficient streaming hash functions and base64 encoding / decoding. Hashes strings and raw vectors directly. Stream hashes files which can be larger than memory, as well as in-memory objects through R's serialization mechanism. Implementations include the SHA-256, SHA-3 and 'Keccak' cryptographic hash functions, SHAKE256 extendable-output function (XOF), and 'SipHash' pseudo-random function.
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

Diff between secretbase versions 1.0.4 dated 2025-01-16 and 1.0.5 dated 2025-03-04

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Package rgugik updated to version 0.4.2 with previous version 0.4.1 dated 2024-05-11

Title: Search and Retrieve Spatial Data from 'GUGiK'
Description: Automatic open data acquisition from resources of Polish Head Office of Geodesy and Cartography ('Główny Urząd Geodezji i Kartografii') (<https://www.gov.pl/web/gugik>). Available datasets include various types of numeric, raster and vector data, such as orthophotomaps, digital elevation models (digital terrain models, digital surface model, point clouds), state register of borders, spatial databases, geometries of cadastral parcels, 3D models of buildings, and more. It is also possible to geocode addresses or objects using the geocodePL_get() function.
Author: Krzysztof Dyba [aut, cre] , Jakub Nowosad [aut] , Maciej Beresewicz [ctb] , Grzegorz Sapijaszko [ctb], GUGiK [ctb]
Maintainer: Krzysztof Dyba <adres7@gmail.com>

Diff between rgugik versions 0.4.1 dated 2024-05-11 and 0.4.2 dated 2025-03-04

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Package parameters updated to version 0.24.2 with previous version 0.24.1 dated 2025-01-14

Title: Processing of Model Parameters
Description: Utilities for processing the parameters of various statistical models. Beyond computing p values, CIs, and other indices for a wide variety of models (see list of supported models using the function 'insight::supported_models()'), this package implements features like bootstrapping or simulating of parameters and models, feature reduction (feature extraction and variable selection) as well as functions to describe data and variable characteristics (e.g. skewness, kurtosis, smoothness or distribution).
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut] , Soeren Hoejsgaard [aut], Brenton M. Wiernik [aut] , Zen J. Lau [ctb], Vincent Arel-Bundock [ctb] , Jeffrey Girard [ctb] , Christina Maimone [re [...truncated...]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

Diff between parameters versions 0.24.1 dated 2025-01-14 and 0.24.2 dated 2025-03-04

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Package BuyseTest updated to version 3.1.0 with previous version 3.0.5 dated 2024-10-13

Title: Generalized Pairwise Comparisons
Description: Implementation of the Generalized Pairwise Comparisons (GPC) as defined in Buyse (2010) <doi:10.1002/sim.3923> for complete observations, and extended in Peron (2018) <doi:10.1177/0962280216658320> to deal with right-censoring. GPC compare two groups of observations (intervention vs. control group) regarding several prioritized endpoints to estimate the probability that a random observation drawn from one group performs better/worse/equivalently than a random observation drawn from the other group. Summary statistics such as the net treatment benefit, win ratio, or win odds are then deduced from these probabilities. Confidence intervals and p-values are obtained based on asymptotic results (Ozenne 2021 <doi:10.1177/09622802211037067>), non-parametric bootstrap, or permutations. The software enables the use of thresholds of minimal importance difference, stratification, non-prioritized endpoints (O Brien test), and can handle right-censoring and competing-risks.
Author: Brice Ozenne [aut, cre] , Eva Cantagallo [aut], William Anderson [aut], Julien Peron [ctb], Johan Verbeeck [ctb]
Maintainer: Brice Ozenne <brice.mh.ozenne@gmail.com>

Diff between BuyseTest versions 3.0.5 dated 2024-10-13 and 3.1.0 dated 2025-03-04

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 BuyseTest-3.1.0/BuyseTest/tests/testthat/test-BuyseTest-Pairs.R         | 1204 ++--
 BuyseTest-3.1.0/BuyseTest/tests/testthat/test-BuyseTest-checkValues.R   | 1148 ++--
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 BuyseTest-3.1.0/BuyseTest/tests/testthat/test-BuyseTest-previousBug.R   | 1556 +++---
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More information about BuyseTest at CRAN
Permanent link

Package univariateML updated to version 1.5.0 with previous version 1.1.1 dated 2022-01-25

Title: Maximum Likelihood Estimation for Univariate Densities
Description: User-friendly maximum likelihood estimation (Fisher (1921) <doi:10.1098/rsta.1922.0009>) of univariate densities.
Author: Jonas Moss [aut, cre] , Thomas Nagler [ctb], Chitu Okoli [ctb]
Maintainer: Jonas Moss <jonas.gjertsen@gmail.com>

Diff between univariateML versions 1.1.1 dated 2022-01-25 and 1.5.0 dated 2025-03-04

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 univariateML-1.5.0/univariateML/tests/testthat/test_mllaplace.R                    |   56 
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 193 files changed, 9068 insertions(+), 8875 deletions(-)

More information about univariateML at CRAN
Permanent link


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