Wed, 06 Dec 2023

Package phreeqc updated to version 3.7.6 with previous version 3.7.5 dated 2023-01-23

Title: R Interface to Geochemical Modeling Software
Description: A geochemical modeling program developed by the US Geological Survey that is designed to perform a wide variety of aqueous geochemical calculations, including speciation, batch-reaction, one-dimensional reactive-transport, and inverse geochemical calculations.
Author: S.R. Charlton [aut, cre], D.L. Parkhurst [aut], and C.A.J. Appelo [aut], with contributions from D. Gillespie [ctb] for Chipmunk BASIC and S.D. Cohen [ctb], A.C. Hindmarsh [ctb], R. Serban [ctb], D. Shumaker [ctb], and A.G. Taylor [ctb] for CVODE/SUN [...truncated...]
Maintainer: S.R. Charlton <charlton@usgs.gov>

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Package jsmodule updated to version 1.4.4 with previous version 1.4.3 dated 2023-10-18

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

Diff between jsmodule versions 1.4.3 dated 2023-10-18 and 1.4.4 dated 2023-12-06

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Package fwb updated to version 0.2.0 with previous version 0.1.2 dated 2023-10-02

Title: Fractional Weighted Bootstrap
Description: An implementation of the fractional weighted bootstrap to be used as a drop-in for functions in the 'boot' package. The fractional weighted bootstrap (also known as the Bayesian bootstrap) involves drawing weights randomly that are applied to the data rather than resampling units from the data. See Xu et al. (2020) <doi:10.1080/00031305.2020.1731599> for details.
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>

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Package afttest updated to version 4.3.2 with previous version 4.3.1.1 dated 2023-07-09

Title: Model Diagnostics for Accelerated Failure Time Models
Description: A collection of model checking methods for semiparametric accelerated failure time (AFT) models under the rank-based approach. For the (computational) efficiency, Gehan's weight is used. It provides functions to verify whether the observed data fit the specific model assumptions such as a functional form of each covariate, a link function, and an omnibus test. The p-value offered in this package is based on the Kolmogorov-type supremum test and the variance of the proposed test statistics is estimated through the re-sampling method. Furthermore, a graphical technique to compare the shape of the observed residual to a number of the approximated realizations is provided.
Author: WooJung Bae [aut, cre] , Dongrak Choi [aut] , Jun Yan [aut] , Sangwook Kang [aut]
Maintainer: WooJung Bae <matt.woojung@gmail.com>

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Package BranchGLM updated to version 2.1.3 with previous version 2.1.2 dated 2023-08-31

Title: Efficient Branch and Bound Variable Selection for GLMs using 'RcppArmadillo'
Description: Performs efficient and scalable glm best subset selection using a novel implementation of a branch and bound algorithm. To speed up the model fitting process, a range of optimization methods are implemented in 'RcppArmadillo'. Parallel computation is available using 'OpenMP'.
Author: Jacob Seedorff [aut, cre]
Maintainer: Jacob Seedorff <jwseedorff@uiowa.edu>

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Package RFCCA updated to version 1.0.12 with previous version 1.0.11 dated 2023-09-19

Title: Random Forest with Canonical Correlation Analysis
Description: Random Forest with Canonical Correlation Analysis (RFCCA) is a random forest method for estimating the canonical correlations between two sets of variables depending on the subject-related covariates. The trees are built with a splitting rule specifically designed to partition the data to maximize the canonical correlation heterogeneity between child nodes. The method is described in Alakus et al. (2021) <doi:10.1093/bioinformatics/btab158>. RFCCA uses 'randomForestSRC' package (Ishwaran and Kogalur, 2020) by freezing at the version 2.9.3. The custom splitting rule feature is utilised to apply the proposed splitting rule. LAPACK and BLAS libraries are used for matrix decompositions. The ‘RFCCA’ package includes the header files ‘lapacke.h’ and ‘cblas.h’ from the LAPACK and BLAS libraries. The LAPACK library is licensed under modified BSD license.
Author: Cansu Alakus [aut, cre], Denis Larocque [aut], Aurelie Labbe [aut], Hemant Ishwaran [ctb] , Udaya B. Kogalur [ctb] , Intel Corporation [cph] , Keita Teranishi [ctb]
Maintainer: Cansu Alakus <cansu.alakus@hec.ca>

Diff between RFCCA versions 1.0.11 dated 2023-09-19 and 1.0.12 dated 2023-12-06

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Package CovRegRF updated to version 1.0.5 with previous version 1.0.4 dated 2023-09-22

Title: Covariance Regression with Random Forests
Description: Covariance Regression with Random Forests ('CovRegRF') is a random forest method for estimating the covariance matrix of a multivariate response given a set of covariates. Random forest trees are built with a new splitting rule which is designed to maximize the distance between the sample covariance matrix estimates of the child nodes. The method is described in Alakus et al. (2023) <doi:10.1186/s12859-023-05377-y>. 'CovRegRF' uses 'randomForestSRC' package (Ishwaran and Kogalur, 2022) <https://cran.r-project.org/package=randomForestSRC> by freezing at the version 3.1.0. The custom splitting rule feature is utilised to apply the proposed splitting rule. 'LAPACK' and 'BLAS' libraries are used for matrix decompositions. The 'CovRegRF' package includes the header files 'lapacke.h' and 'cblas.h' from the 'LAPACK' and 'BLAS' libraries. The 'LAPACK' library is licensed under modified BSD license.
Author: Cansu Alakus [aut, cre], Denis Larocque [aut], Aurelie Labbe [aut], Hemant Ishwaran [ctb] , Udaya B. Kogalur [ctb] , Intel Corporation [cph] , Keita Teranishi [ctb]
Maintainer: Cansu Alakus <cansu.alakus@hec.ca>

Diff between CovRegRF versions 1.0.4 dated 2023-09-22 and 1.0.5 dated 2023-12-06

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Package corto updated to version 1.2.4 with previous version 1.2.2 dated 2023-03-28

Title: Inference of Gene Regulatory Networks
Description: We present 'corto' (Correlation Tool), a simple package to infer gene regulatory networks and visualize master regulators from gene expression data using DPI (Data Processing Inequality) and bootstrapping to recover edges. An initial step is performed to calculate all significant edges between a list of source nodes (centroids) and target genes. Then all triplets containing two centroids and one target are tested in a DPI step which removes edges. A bootstrapping process then calculates the robustness of the network, eventually re-adding edges previously removed by DPI. The algorithm has been optimized to run outside a computing cluster, using a fast correlation implementation. The package finally provides functions to calculate network enrichment analysis from RNA-Seq and ATAC-Seq signatures as described in the article by Giorgi lab (2020) <doi:10.1093/bioinformatics/btaa223>.
Author: Federico M. Giorgi [aut, cre], Daniele Mercatelli [ctb], Gonzalo Lopez-Garcia [ctb]
Maintainer: Federico M. Giorgi <federico.giorgi@gmail.com>

Diff between corto versions 1.2.2 dated 2023-03-28 and 1.2.4 dated 2023-12-06

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Package bfp updated to version 0.0-47 with previous version 0.0-46 dated 2022-10-31

Title: Bayesian Fractional Polynomials
Description: Implements the Bayesian paradigm for fractional polynomial models under the assumption of normally distributed error terms, see Sabanes Bove, D. and Held, L. (2011) <doi:10.1007/s11222-010-9170-7>.
Author: Daniel Sabanes Bove [aut, cre], Isaac Gravestock [aut], Robert Davies [cph], Stephen Moshier [cph], Gareth Ambler [cph], Axel Benner [cph]
Maintainer: Daniel Sabanes Bove <daniel.sabanesbove@gmx.net>

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Package syt updated to version 0.3.0 with previous version 0.2.0 dated 2021-01-16

Title: Standard Young Tableaux
Description: Deals with standard Young tableaux (field of combinatorics). Performs enumeration, counting, random generation, the Robinson-Schensted correspondence, and conversion to and from paths on the Young lattice. Also performs enumeration and counting of semistandard Young tableaux.
Author: Stephane Laurent
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

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Package Phi2rho updated to version 1.0.1 with previous version 1.0 dated 2023-07-20

Title: Owen's T Function and Bivariate Normal Integral
Description: Computes the Owen's T function or the bivariate normal integral using one of the following: modified Euler's arctangent series, tetrachoric series, or Vasicek's series. For the methods, see Komelj, J. (2023) <doi:10.4236/ajcm.2023.134026> (or reprint <arXiv:2312.00011> with better typography) and Vasicek, O. A. (1998) <doi:10.21314/JCF.1998.015>.
Author: Janez Komelj [aut, cre]
Maintainer: Janez Komelj <jkomelj@siol.net>

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Package iq updated to version 1.9.12 with previous version 1.9.10 dated 2023-03-29

Title: Protein Quantification in Mass Spectrometry-Based Proteomics
Description: An implementation of the MaxLFQ algorithm by Cox et al. (2014) <doi:10.1074/mcp.M113.031591> in a comprehensive pipeline for processing proteomics data in data-independent acquisition mode (Pham et al. 2020 <doi:10.1093/bioinformatics/btz961>). It offers additional options for protein quantification using the N most intense fragment ions, using all fragment ions, and a wrapper for the median polish algorithm by Tukey (1977, ISBN:0201076160). In general, the tool can be used to integrate multiple proportional observations into a single quantitative value.
Author: Thang Pham [aut, cre, cph, ctb] , Alex Henneman [ctb]
Maintainer: Thang Pham <t.pham@amsterdamumc.nl>

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New package RNAmf with initial version 0.1.0
Package: RNAmf
Title: Recursive Non-Additive Emulator for Multi-Fidelity Data
Version: 0.1.0
Maintainer: Junoh Heo <heojunoh@msu.edu>
Description: Performs RNA emulation and active learning proposed by Heo and Sung (2023+) <arXiv:2309.11772> for multi-fidelity computer experiments. The RNA emulator is particularly useful when the simulations with different fidelity level are nonlinearly correlated. The hyperparameters in the model are estimated by maximum likelihood estimation.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: plgp, stats, lhs, doParallel, foreach
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2023-12-06 15:34:04 UTC; junoh
Author: Junoh Heo [aut, cre], Chih-Li Sung [aut]
Repository: CRAN
Date/Publication: 2023-12-06 19:20:06 UTC

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Package CRE updated to version 0.2.5 with previous version 0.2.4 dated 2023-06-14

Title: Interpretable Discovery and Inference of Heterogeneous Treatment Effects
Description: Provides a new method for interpretable heterogeneous treatment effects characterization in terms of decision rules via an extensive exploration of heterogeneity patterns by an ensemble-of-trees approach, enforcing high stability in the discovery. It relies on a two-stage pseudo-outcome regression, and it is supported by theoretical convergence guarantees. Bargagli-Stoffi, F. J., Cadei, R., Lee, K., & Dominici, F. (2023) Causal rule ensemble: Interpretable Discovery and Inference of Heterogeneous Treatment Effects. arXiv preprint <arXiv:2009.09036>.
Author: Naeem Khoshnevis [aut, cre] , Daniela Maria Garcia [aut] , Riccardo Cadei [aut] , Kwonsang Lee [aut] , Falco Joannes Bargagli Stoffi [aut]
Maintainer: Naeem Khoshnevis <nkhoshnevis@g.harvard.edu>

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New package covadap with initial version 1.0.1
Package: covadap
Date: 2023-12-06
Title: Implement Covariate-Adaptive Randomization
Version: 1.0.1
Author: Rosamarie Frieri [aut, cre], Marco Novelli [aut]
Maintainer: Rosamarie Frieri <rosamarie.frieri2@unibo.it>
Imports: stats
Description: Implementing seven Covariate-Adaptive Randomization to assign patients to two treatments. Three of these procedures can also accommodate quantitative and mixed covariates. Given a set of covariates, the user can generate a single sequence of allocations or replicate the design multiple times by simulating the patients' covariate profiles. At the end, an extensive assessment of the performance of the randomization procedures is provided, calculating several imbalance measures. See Baldi Antognini A, Frieri R, Zagoraiou M and Novelli M (2022) <doi:10.1007/s00362-022-01381-1> for details.
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-12-06 16:47:46 UTC; marco
Repository: CRAN
Date/Publication: 2023-12-06 19:20:02 UTC

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New package WRestimates with initial version 0.1.0
Package: WRestimates
Title: Sample Size, Power and CI for the Win Ratio
Version: 0.1.0
Description: Calculates non-parametric estimates of the sample size, power and confidence intervals for the win-ratio. For more detail on the theory behind the methodologies implemented see Yu, R. X. and Ganju, J. (2022) <doi:10.1002/sim.9297>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-12-06 11:08:53 UTC; r2301007
Author: Autumn O'Donnell [aut, cre, cph]
Maintainer: Autumn O'Donnell <autumn.research@gmail.com>
Repository: CRAN
Date/Publication: 2023-12-06 16:10:02 UTC

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Package sparseR updated to version 0.2.3 with previous version 0.2.2 dated 2023-03-28

Title: Variable Selection under Ranked Sparsity Principles for Interactions and Polynomials
Description: An implementation of ranked sparsity methods, including penalized regression methods such as the sparsity-ranked lasso, its non-convex alternatives, and elastic net, as well as the sparsity-ranked Bayesian Information Criterion. As described in Peterson and Cavanaugh (2022) <doi:10.1007/s10182-021-00431-7>, ranked sparsity is a philosophy with methods primarily useful for variable selection in the presence of prior informational asymmetry, which occurs in the context of trying to perform variable selection in the presence of interactions and/or polynomials. Ultimately, this package attempts to facilitate dealing with cumbersome interactions and polynomials while not avoiding them entirely. Typically, models selected under ranked sparsity principles will also be more transparent, having fewer falsely selected interactions and polynomials than other methods.
Author: Ryan Andrew Peterson [aut, cre]
Maintainer: Ryan Andrew Peterson <ryan.a.peterson@cuanschutz.edu>

Diff between sparseR versions 0.2.2 dated 2023-03-28 and 0.2.3 dated 2023-12-06

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Package Rlabkey updated to version 3.1.0 with previous version 3.0.0 dated 2023-11-07

Title: Data Exchange Between R and 'LabKey' Server
Description: The 'LabKey' client library for R makes it easy for R users to load live data from a 'LabKey' Server, <https://www.labkey.com/>, into the R environment for analysis, provided users have permissions to read the data. It also enables R users to insert, update, and delete records stored on a 'LabKey' Server, provided they have appropriate permissions to do so.
Author: Peter Hussey
Maintainer: Cory Nathe <cnathe@labkey.com>

Diff between Rlabkey versions 3.0.0 dated 2023-11-07 and 3.1.0 dated 2023-12-06

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New package PHENTHAUproc with initial version 0.9.9
Package: PHENTHAUproc
Title: Modelling Phenology of Oak Processionary Moth
Version: 0.9.9
Description: Methods to calculate and present 'PHENTHAUproc', an early warning and decision support system for hazard assessment and control of oak processionary moth (Thaumetopoea processionea) using local and spatial temperature data. It was created by Halbig et al. 2023 (in submission) at the FVA (<https://www.fva-bw.de>) a forest research institute in Baden-Wuerttemberg, Germany.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: grDevices, lubridate (>= 1.9), methods, rlang, stats, terra (>= 1.7), utils
Suggests: dplyr, geomtextpath, ggplot2 (>= 3.4), knitr, rmarkdown, testthat (>= 3.0.0), tidyterra (>= 0.4.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-12-06 09:26:11 UTC; Lorenz.Bachfischer
Author: Lorenz Bachfischer [aut, cre], Abt. Waldschutz, FVA [fnd]
Maintainer: Lorenz Bachfischer <lorenz.bachfischer@posteo.de>
Repository: CRAN
Date/Publication: 2023-12-06 16:10:04 UTC

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Package Morpho updated to version 2.12 with previous version 2.11 dated 2023-01-27

Title: Calculations and Visualisations Related to Geometric Morphometrics
Description: A toolset for Geometric Morphometrics and mesh processing. This includes (among other stuff) mesh deformations based on reference points, permutation tests, detection of outliers, processing of sliding semi-landmarks and semi-automated surface landmark placement.
Author: Stefan Schlager [aut, cre, cph], Gregory Jefferis [ctb], Dryden Ian [cph]
Maintainer: Stefan Schlager <zarquon42@gmail.com>

Diff between Morpho versions 2.11 dated 2023-01-27 and 2.12 dated 2023-12-06

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Package JuliaConnectoR updated to version 1.1.3 with previous version 1.1.2 dated 2023-11-28

Title: A Functionally Oriented Interface for Integrating 'Julia' with R
Description: Allows to import functions and whole packages from 'Julia' in R. Imported 'Julia' functions can directly be called as R functions. Data structures can be translated between 'Julia' and R. More details can also be found in the corresponding article <doi:10.18637/jss.v101.i06>.
Author: Stefan Lenz [aut, cre] , Harald Binder [aut, ths] , Angelo D'Ambrosio [ctb]
Maintainer: Stefan Lenz <stefan-m-lenz@web.de>

Diff between JuliaConnectoR versions 1.1.2 dated 2023-11-28 and 1.1.3 dated 2023-12-06

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Package christmas updated to version 1.3.0 with previous version 1.2.0 dated 2022-12-18

Title: Generation of Different Animated Christmas Cards
Description: Generation of different Christmas cards, most of them being animated. Most of the cards can be generated in three languages (English, Catalan and Spanish). The collection started in 2009.
Author: Jose Barrera-Gomez [aut, cre]
Maintainer: Jose Barrera-Gomez <jose.barrera@isglobal.org>

Diff between christmas versions 1.2.0 dated 2022-12-18 and 1.3.0 dated 2023-12-06

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Package Branching updated to version 0.9.6 with previous version 0.9.4 dated 2016-12-06

Title: Simulation and Estimation for Branching Processes
Description: Simulation and parameter estimation of multitype Bienayme - Galton - Watson processes.
Author: Camilo Jose Torres-Jimenez <cjtorresj@unal.edu.co>
Maintainer: Camilo Jose Torres-Jimenez <cjtorresj@unal.edu.co>

Diff between Branching versions 0.9.4 dated 2016-12-06 and 0.9.6 dated 2023-12-06

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Package boxplotcluster updated to version 0.3 with previous version 0.2 dated 2023-06-06

Title: Clustering Method Based on Boxplot Statistics
Description: Following Arroyo-Maté-Roque (2006), the function calculates the distance between rows or columns of the dataset using the generalized Minkowski metric as described by Ichino-Yaguchi (1994). The distance measure gives more weight to differences between quartiles than to differences between extremes, making it less sensitive to outliers. Further,the function calculates the silhouette width (Rousseeuw 1987) for different numbers of clusters and selects the number of clusters that maximizes the average silhouette width, unless a specific number of clusters is provided by the user. The approach implemented in this package is based on the following publications: Rousseeuw (1987) <doi:10.1016/0377-0427(87)90125-7>; Ichino-Yaguchi (1994) <doi:10.1109/21.286391>; Arroyo-Maté-Roque (2006) <doi:10.1007/3-540-34416-0_7>.
Author: Gianmarco Alberti [aut, cre]
Maintainer: Gianmarco Alberti <gianmarcoalberti@gmail.com>

Diff between boxplotcluster versions 0.2 dated 2023-06-06 and 0.3 dated 2023-12-06

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Package Rvcg updated to version 0.22.2 with previous version 0.22.1 dated 2023-01-26

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

Diff between Rvcg versions 0.22.1 dated 2023-01-26 and 0.22.2 dated 2023-12-06

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Package randomForestSRC updated to version 3.2.3 with previous version 3.2.2 dated 2023-05-23

Title: Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
Description: Fast OpenMP parallel computing of Breiman's random forests for univariate, multivariate, unsupervised, survival, competing risks, class imbalanced classification and quantile regression. New Mahalanobis splitting for correlated outcomes. Extreme random forests and randomized splitting. Suite of imputation methods for missing data. Fast random forests using subsampling. Confidence regions and standard errors for variable importance. New improved holdout importance. Case-specific importance. Minimal depth variable importance. Visualize trees on your Safari or Google Chrome browser. Anonymous random forests for data privacy.
Author: Hemant Ishwaran <hemant.ishwaran@gmail.com>, Udaya B. Kogalur <ubk@kogalur.com>
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

Diff between randomForestSRC versions 3.2.2 dated 2023-05-23 and 3.2.3 dated 2023-12-06

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Package errors updated to version 0.4.1 with previous version 0.4.0 dated 2022-12-04

Title: Uncertainty Propagation for R Vectors
Description: Support for measurement errors in R vectors, matrices and arrays: automatic uncertainty propagation and reporting. Documentation about 'errors' is provided in the paper by Ucar, Pebesma & Azcorra (2018, <doi:10.32614/RJ-2018-075>), included in this package as a vignette; see 'citation("errors")' for details.
Author: Inaki Ucar [aut, cph, cre] , Lionel Henry [ctb], RStudio [cph]
Maintainer: Inaki Ucar <iucar@fedoraproject.org>

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Package sociome updated to version 2.2.5 with previous version 2.2.1 dated 2023-04-25

Title: Operationalizing Social Determinants of Health Data for Researchers
Description: Accesses raw data via API and calculates social determinants of health measures for user-specified locations in the US, returning them in tidyverse- and sf-compatible data frames.
Author: Nik Krieger [aut, cre], Jarrod Dalton [aut], Cindy Wang [aut], Adam Perzynski [aut], National Institutes of Health/National Institute on Aging [fnd] . All of its contents are solely the responsibility of the authors and do not necessarily represent t [...truncated...]
Maintainer: Nik Krieger <nikkrieger@gmail.com>

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Package rlistings updated to version 0.2.7 with previous version 0.2.4 dated 2023-08-26

Title: Clinical Trial Style Data Readout Listings
Description: Listings are often part of the submission of clinical trial data in regulatory settings. We provide a framework for the specific formatting features often used when displaying large datasets in that context.
Author: Gabriel Becker [aut] , Adrian Waddell [aut], Joe Zhu [aut, cre], Davide Garolini [ctb], Emily de la Rua [ctb], Abinaya Yogasekaram [ctb], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

Diff between rlistings versions 0.2.4 dated 2023-08-26 and 0.2.7 dated 2023-12-06

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Package numOSL updated to version 2.8 with previous version 2.7 dated 2023-09-18

Title: Numeric Routines for Optically Stimulated Luminescence Dating
Description: Optimizing regular numeric problems in optically stimulated luminescence dating, such as: equivalent dose calculation, dose rate determination, growth curve fitting, decay curve decomposition, statistical age model optimization, and statistical plot visualization.
Author: Jun Peng [aut, cre], Bo Li [aut], Chunxin Wang [aut], Jorge More [ctb], Burton Garbow [ctb], Kenneth Hillstrom [ctb], John Burkardt [ctb], Paul Gilbert [ctb], Ravi Varadhan [ctb]
Maintainer: Jun Peng <pengjun10@mails.ucas.ac.cn>

Diff between numOSL versions 2.7 dated 2023-09-18 and 2.8 dated 2023-12-06

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Package Bergm updated to version 5.0.7 with previous version 5.0.6 dated 2023-09-13

Title: Bayesian Exponential Random Graph Models
Description: Bayesian analysis for exponential random graph models using advanced computational algorithms. More information can be found at: <https://acaimo.github.io/Bergm/>.
Author: Alberto Caimo [aut, cre], Lampros Bouranis [aut], Robert Krause [aut] Nial Friel [ctb]
Maintainer: Alberto Caimo <alberto.caimo1@ucd.ie>

Diff between Bergm versions 5.0.6 dated 2023-09-13 and 5.0.7 dated 2023-12-06

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Package bvhar updated to version 1.0.2 with previous version 1.0.1 dated 2023-11-10

Title: Bayesian Vector Heterogeneous Autoregressive Modeling
Description: Tools to research Bayesian Vector heterogeneous autoregressive (VHAR) model, referring to Kim & Baek (2023+) (<doi:10.1080/00949655.2023.2281644>). 'bvhar' can model Vector Autoregressive (VAR), VHAR, Bayesian VAR (BVAR), and Bayesian VHAR (BVHAR) models.
Author: Young Geun Kim [aut, cre, cph] , Changryong Baek [ctb]
Maintainer: Young Geun Kim <dudrms33@g.skku.edu>

Diff between bvhar versions 1.0.1 dated 2023-11-10 and 1.0.2 dated 2023-12-06

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New package SID with initial version 1.1
Package: SID
Title: Structural Intervention Distance
Version: 1.1
Date: 2023-12-03
Encoding: UTF-8
Imports: pcalg, igraph, RBGL, Matrix, methods
Description: The code computes the structural intervention distance (SID) between a true directed acyclic graph (DAG) and an estimated DAG. Definition and details about the implementation can be found in J. Peters and P. Bühlmann: "Structural intervention distance (SID) for evaluating causal graphs", Neural Computation 27, pages 771-799, 2015 <doi:10.1162/NECO_a_00708>.
URL: https://github.com/fkgruber/SID_cran
License: FreeBSD
Repository: CRAN
NeedsCompilation: no
Packaged: 2023-12-06 04:46:38 UTC; fred
Author: Fred Gruber [cre], Jonas Peters [aut]
Maintainer: Fred Gruber <fgruber@gmail.com>
Date/Publication: 2023-12-06 10:10:02 UTC

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Package progress updated to version 1.2.3 with previous version 1.2.2 dated 2019-05-16

Title: Terminal Progress Bars
Description: Configurable Progress bars, they may include percentage, elapsed time, and/or the estimated completion time. They work in terminals, in 'Emacs' 'ESS', 'RStudio', 'Windows' 'Rgui' and the 'macOS' 'R.app'. The package also provides a 'C++' 'API', that works with or without 'Rcpp'.
Author: Gabor Csardi [aut, cre], Rich FitzJohn [aut], Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between progress versions 1.2.2 dated 2019-05-16 and 1.2.3 dated 2023-12-06

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New package pmartR with initial version 2.4.1
Package: pmartR
Title: Panomics Marketplace - Quality Control and Statistical Analysis for Panomics Data
Version: 2.4.1
Date: 2023-11-07
Description: Provides functionality for quality control processing and statistical analysis of mass spectrometry (MS) omics data, in particular proteomic (either at the peptide or the protein level), lipidomic, and metabolomic data, as well as RNA-seq based count data and nuclear magnetic resonance (NMR) data. This includes data transformation, specification of groups that are to be compared against each other, filtering of features and/or samples, data normalization, data summarization (correlation, PCA), and statistical comparisons between defined groups. Implements methods described in: Webb-Robertson et al. (2014) <doi:10.1074/mcp.M113.030932>. Webb-Robertson et al. (2011) <doi:10.1002/pmic.201100078>. Matzke et al. (2011) <doi:10.1093/bioinformatics/btr479>. Matzke et al. (2013) <doi:10.1002/pmic.201200269>. Polpitiya et al. (2008) <doi:10.1093/bioinformatics/btn217>. Webb-Robertson et al. (2010) <doi:10.1021/pr1005247>.
License: BSD_2_clause + file LICENSE
Depends: R (>= 3.5.0)
URL: https://github.com/pmartR/pmartR
BugReports: https://github.com/pmartR/pmartR/issues
LinkingTo: Rcpp, RcppArmadillo, BH
Imports: Rcpp (>= 0.12.8), data.table, doParallel, dplyr, ggplot2, e1071, foreach, methods, mvtnorm, pcaMethods, plotly, purrr, rrcov, stringr, tidyr, RColorBrewer, magrittr, parallelly, patchwork, glmpca,
Suggests: knitr, limma, rmarkdown, edgeR, DESeq2, scales, S4Vectors, survival, testthat, trelliscopejs, pmartRdata, vdiffr
Additional_repositories: https://pmartR.github.io/drat
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2023-12-04 17:45:08 UTC; clab683
Author: Lisa Bramer [aut, cre], Kelly Stratton [aut], Daniel Claborne [aut], Evan Glasscock [ctb], Rachel Richardson [ctb], David Degnan [ctb], Evan Martin [ctb]
Maintainer: Lisa Bramer <lisa.bramer@pnnl.gov>
Repository: CRAN
Date/Publication: 2023-12-06 10:30:05 UTC

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New package NRAHDLTP with initial version 0.1.2
Package: NRAHDLTP
Title: Location Tests for High-Dimensional Problems Including Normal-Reference Approach
Version: 0.1.2
Author: Pengfei Wang [aut, cre], Shuqi Luo [aut], Tianming Zhu [aut], Bu Zhou [aut]
Maintainer: Pengfei Wang <nie23.wp8738@e.ntu.edu.sg>
Description: We provide a collection of various classical tests and latest normal-reference approach tests for comparing high-dimensional mean vectors including two-sample and general linear hypothesis testing (GLHT) problem. The others’ tests for two-sample problem [see Bai, Zhidong, and Hewa Saranadasa.(1996) <https://www.jstor.org/stable/24306018>; Chen, Song Xi, and Ying-Li Qin.(2010) <doi:10.1214/09-aos716>; Srivastava, Muni S., and Meng Du.(2008) <doi:10.1016/j.jmva.2006.11.002>; Srivastava, Muni S., Shota Katayama, and Yutaka Kano.(2013)<doi:10.1016/j.jmva.2012.08.014>]. Normal-reference approach based tests for two-sample problem [see Zhang, Jin-Ting, Jia Guo, Bu Zhou, and Ming-Yen Cheng.(2020) <doi:10.1080/01621459.2019.1604366>; Zhang, Jin-Ting, Bu Zhou, Jia Guo, and Tianming Zhu.(2021) <doi:10.1016/j.jspi.2020.11.008>; Zhang, Liang, Tianming Zhu, and Jin-Ting Zhang.(2020) <doi:10.1016/j.ecosta.2019.12.002>; Zhang, Liang, Tianming Zhu, and Jin-Tin [...truncated...]
License: GPL (>= 3)
BugReports: https://github.com/nie23wp8738/NRAHDLTP/issues
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
Imports: expm, Rcpp, Rdpack, readr, stats
Suggests: devtools, dplyr, knitr, rmarkdown, spelling, testthat (>= 3.0.0), tidyr
Depends: R (>= 2.10)
LazyData: true
Language: en-US
NeedsCompilation: yes
Packaged: 2023-12-06 04:28:13 UTC; yehe
Repository: CRAN
Date/Publication: 2023-12-06 10:10:05 UTC

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New package MadanText with initial version 0.1.0
Package: MadanText
Title: Persian Text Mining Tool for Frequency Analysis, Statistical Analysis, and Word Clouds
Version: 0.1.0
Description: This is an open-source software designed specifically for text mining in the Persian language. It allows users to examine word frequencies, download data for analysis, and generate word clouds. This tool is particularly useful for researchers and analysts working with Persian language data. This package mainly makes use of the 'PersianStemmer' (Safshekan, R., et al. (2019). <https://CRAN.R-project.org/package=PersianStemmer>), 'udpipe' (Wijffels, J., et al. (2023). <https://CRAN.R-project.org/package=udpipe>), and 'shiny' (Chang, W., et al. (2023). <https://CRAN.R-project.org/package=shiny>) packages.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: xlsx, lattice, stopwords,textmineR, tidytext, stringi, tidyr, udpipe, PersianStemmer, shiny (>= 1.8.0), shinythemes, tm, dplyr, hwordcloud, stringr, topicmodels
NeedsCompilation: no
Packaged: 2023-12-06 02:27:00 UTC; trial
Author: Kido Ishikawa [aut, cre], Hasan Khosravi [aut]
Maintainer: Kido Ishikawa <kido.ishikawa6@gmail.com>
Repository: CRAN
Date/Publication: 2023-12-06 10:10:09 UTC

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Package BAS updated to version 1.7.1 with previous version 1.6.6 dated 2023-11-28

Title: Bayesian Variable Selection and Model Averaging using Bayesian Adaptive Sampling
Description: Package for Bayesian Variable Selection and Model Averaging in linear models and generalized linear models using stochastic or deterministic sampling without replacement from posterior distributions. Prior distributions on coefficients are from Zellner's g-prior or mixtures of g-priors corresponding to the Zellner-Siow Cauchy Priors or the mixture of g-priors from Liang et al (2008) <DOI:10.1198/016214507000001337> for linear models or mixtures of g-priors from Li and Clyde (2019) <DOI:10.1080/01621459.2018.1469992> in generalized linear models. Other model selection criteria include AIC, BIC and Empirical Bayes estimates of g. Sampling probabilities may be updated based on the sampled models using sampling w/out replacement or an efficient MCMC algorithm which samples models using a tree structure of the model space as an efficient hash table. See Clyde, Ghosh and Littman (2010) <DOI:10.1198/jcgs.2010.09049> for details on the sampling algorithms. Uniform prior [...truncated...]
Author: Merlise Clyde [aut, cre, cph] , Michael Littman [ctb], Joyee Ghosh [ctb], Yingbo Li [ctb], Betsy Bersson [ctb], Don van de Bergh [ctb], Quanli Wang [ctb]
Maintainer: Merlise Clyde <clyde@duke.edu>

Diff between BAS versions 1.6.6 dated 2023-11-28 and 1.7.1 dated 2023-12-06

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Package tseries updated to version 0.10-55 with previous version 0.10-54 dated 2023-05-02

Title: Time Series Analysis and Computational Finance
Description: Time series analysis and computational finance.
Author: Adrian Trapletti [aut], Kurt Hornik [aut, cre] , Blake LeBaron [ctb]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between tseries versions 0.10-54 dated 2023-05-02 and 0.10-55 dated 2023-12-06

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Package SpatialDDLS updated to version 1.0.0 with previous version 0.1.0 dated 2023-05-07

Title: Deconvolution of Spatial Transcriptomics Data Based on Neural Networks
Description: Deconvolution of spatial transcriptomics data using deconvolution models based on deep neural networks and single-cell RNA-seq data. These models are able to make accurate estimates of the cell composition of spots in spatial transcriptomics datasets from the same context using the advances provided by deep learning and the meaningful information provided by single-cell RNA-Seq data. See Torroja and Sanchez-Cabo (2019) <doi:10.3389/fgene.2019.00978> and Mañanes et al. (2023) <doi:10.1101/2023.08.31.555677> to get an overview of the method and see some examples of its performance.
Author: Diego Mananes [aut, cre] , Carlos Torroja [aut] , Fatima Sanchez-Cabo [aut]
Maintainer: Diego Mananes <dmananesc@cnic.es>

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Package SGB updated to version 1.0.1.1 with previous version 1.0.1 dated 2020-02-05

Title: Simplicial Generalized Beta Regression
Description: Main properties and regression procedures using a generalization of the Dirichlet distribution called Simplicial Generalized Beta distribution. It is a new distribution on the simplex (i.e. on the space of compositions or positive vectors with sum of components equal to 1). The Dirichlet distribution can be constructed from a random vector of independent Gamma variables divided by their sum. The SGB follows the same construction with generalized Gamma instead of Gamma variables. The Dirichlet exponents are supplemented by an overall shape parameter and a vector of scales. The scale vector is itself a composition and can be modeled with auxiliary variables through a log-ratio transformation. Graf, M. (2017, ISBN: 978-84-947240-0-8). See also the vignette enclosed in the package.
Author: Monique Graf
Maintainer: Monique Graf <monique.p.n.graf@bluewin.ch>

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Package sets updated to version 1.0-25 with previous version 1.0-24 dated 2023-03-07

Title: Sets, Generalized Sets, Customizable Sets and Intervals
Description: Data structures and basic operations for ordinary sets, generalizations such as fuzzy sets, multisets, and fuzzy multisets, customizable sets, and intervals.
Author: David Meyer [aut, cre] , Kurt Hornik [aut] , Christian Buchta [ctb]
Maintainer: David Meyer <David.Meyer@R-project.org>

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Package qs updated to version 0.25.7 with previous version 0.25.6 dated 2023-11-28

Title: Quick Serialization of R Objects
Description: Provides functions for quickly writing and reading any R object to and from disk.
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] , Romain Francois [ctb, cph] , Francesc Alted [ctb, cph] , Bryce Chamberlain [ctb] , Sal [...truncated...]
Maintainer: Travers Ching <traversc@gmail.com>

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Package polyglotr updated to version 1.3.0 with previous version 1.2.2 dated 2023-10-30

Title: Translate Text
Description: The goal of the this package is to provide easy methods to translate pieces of text. Functions send requests to translation services online.
Author: Tomer Iwan [aut, cre, cph]
Maintainer: Tomer Iwan <t.iwan@vu.nl>

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Package pmsampsize updated to version 1.1.3 with previous version 1.1.2 dated 2022-02-12

Title: Sample Size for Development of a Prediction Model
Description: Computes the minimum sample size required for the development of a new multivariable prediction model using the criteria proposed by Riley et al. (2018) <doi: 10.1002/sim.7992>. pmsampsize can be used to calculate the minimum sample size for the development of models with continuous, binary or survival (time-to-event) outcomes. Riley et al. (2018) <doi: 10.1002/sim.7992> lay out a series of criteria the sample size should meet. These aim to minimise the overfitting and to ensure precise estimation of key parameters in the prediction model.
Author: Joie Ensor [aut, cre]
Maintainer: Joie Ensor <j.ensor@bham.ac.uk>

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Package later updated to version 1.3.2 with previous version 1.3.1 dated 2023-05-02

Title: Utilities for Scheduling Functions to Execute Later with Event Loops
Description: Executes arbitrary R or C functions some time after the current time, after the R execution stack has emptied. The functions are scheduled in an event loop.
Author: Winston Chang [aut, cre], Joe Cheng [aut], Posit Software, PBC [cph], Marcus Geelnard [ctb, cph] , Evan Nemerson [ctb, cph]
Maintainer: Winston Chang <winston@posit.co>

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Package httpuv updated to version 1.6.13 with previous version 1.6.12 dated 2023-10-23

Title: HTTP and WebSocket Server Library
Description: Provides low-level socket and protocol support for handling HTTP and WebSocket requests directly from within R. It is primarily intended as a building block for other packages, rather than making it particularly easy to create complete web applications using httpuv alone. httpuv is built on top of the libuv and http-parser C libraries, both of which were developed by Joyent, Inc. (See LICENSE file for libuv and http-parser license information.)
Author: Joe Cheng [aut], Winston Chang [aut, cre], Posit, PBC fnd [cph], Hector Corrada Bravo [ctb], Jeroen Ooms [ctb], Andrzej Krzemienski [cph] , libuv project contributors [cph] , Joyent, Inc. and other Node contributors [cph] , Niels Provos [cph] , Inter [...truncated...]
Maintainer: Winston Chang <winston@posit.co>

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New package GrabSVG with initial version 0.0.2
Package: GrabSVG
Title: Granularity-Based Spatially Variable Genes Identifications
Version: 0.0.2
Description: Identifying spatially variable genes is critical in linking molecular cell functions with tissue phenotypes. This package implemented a granularity-based dimension-agnostic tool for the identification of spatially variable genes. The detailed description of this method is available at Wang, J. and Li, J. et al. 2023 (Wang, J. and Li, J. (2023), <doi:10.1038/s41467-023-43256-5>).
License: GPL (>= 2)
Encoding: UTF-8
Imports: Matrix, sparseMatrixStats, fitdistrplus, RANN, spam
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2023-12-05 21:54:00 UTC; lijinp
Author: Jinpu Li [aut, cre]
Maintainer: Jinpu Li <castle.lee.f@gmail.com>
Repository: CRAN
Date/Publication: 2023-12-06 10:00:14 UTC

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Package GeDS updated to version 0.1.4 with previous version 0.1.3 dated 2017-12-19

Title: Geometrically Designed Spline Regression
Description: Geometrically Designed Spline ('GeDS') Regression is a non-parametric geometrically motivated method for fitting variable knots spline predictor models in one or two independent variables, in the context of generalized (non-)linear models. 'GeDS' estimates the number and position of the knots and the order of the spline, assuming the response variable has a distribution from the exponential family. A description of the method can be found in Kaishev et al. (2016) <doi:10.1007/s00180-015-0621-7> and Dimitrova et al. (2017) <https://openaccess.city.ac.uk/id/eprint/18460/>.
Author: Dimitrina S. Dimitrova <D.Dimitrova@city.ac.uk>, Emilio S. Guillen <emilio.saenz-guillen@bayes.city.ac.uk>, Vladimir K. Kaishev <V.Kaishev@city.ac.uk>, Andrea Lattuada <andrea.lattuada@hotmail.com> and Richard J. Verrall <R.J.Verrall@city.ac.uk>
Maintainer: Emilio S. Guillen <emilio.saenz-guillen@bayes.city.ac.uk>

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Package formatters updated to version 0.5.5 with previous version 0.5.2 dated 2023-08-25

Title: ASCII Formatting for Values and Tables
Description: We provide a framework for rendering complex tables to ASCII, and a set of formatters for transforming values or sets of values into ASCII-ready display strings.
Author: Gabriel Becker [aut] , Adrian Waddell [aut], Davide Garolini [ctb], Emily de la Rua [ctb], Abinaya Yogasekaram [ctb], Joe Zhu [ctb, cre], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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Package e1071 updated to version 1.7-14 with previous version 1.7-13 dated 2023-02-01

Title: Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien
Description: Functions for latent class analysis, short time Fourier transform, fuzzy clustering, support vector machines, shortest path computation, bagged clustering, naive Bayes classifier, generalized k-nearest neighbour ...
Author: David Meyer [aut, cre] , Evgenia Dimitriadou [aut, cph], Kurt Hornik [aut] , Andreas Weingessel [aut], Friedrich Leisch [aut], Chih-Chung Chang [ctb, cph] , Chih-Chen Lin [ctb, cph]
Maintainer: David Meyer <David.Meyer@R-project.org>

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New package binpackr with initial version 0.1.1
Package: binpackr
Title: Fast 1d Bin Packing
Version: 0.1.1
Description: Implements the First Fit Decreasing algorithm to achieve one dimensional heuristic bin packing. Runtime is of order O(n log(n)) where n is the number of items to pack. See "The Art of Computer Programming Vol. 1" by Donald E. Knuth (1997, ISBN: 0201896834) for more details.
License: GPL (>= 3)
Encoding: UTF-8
LinkingTo: cpp11
Suggests: testthat (>= 3.0.0), hedgehog (>= 0.1)
URL: https://github.com/lschneiderbauer/binpackr
BugReports: https://github.com/lschneiderbauer/binpackr/issues
NeedsCompilation: yes
Packaged: 2023-12-05 21:55:53 UTC; lukas
Author: Lukas Schneiderbauer [aut, cre, cph]
Maintainer: Lukas Schneiderbauer <lukas.schneiderbauer@gmail.com>
Repository: CRAN
Date/Publication: 2023-12-06 10:00:06 UTC

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Package admtools updated to version 0.1.0 with previous version 0.0.1 dated 2023-11-29

Title: Estimate and Manipulate Age-Depth Models
Description: Estimate age-depth models from stratigraphic and sedimentological data, and transform data between the time and stratigraphic domain.
Author: Niklas Hohmann [aut, cre]
Maintainer: Niklas Hohmann <N.H.Hohmann@uu.nl>

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Package glmmrOptim (with last version 0.3.3) was removed from CRAN

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

2023-11-22 0.3.3
2023-09-11 0.3.2
2023-08-18 0.3.1
2023-07-04 0.2.5
2023-04-20 0.2.4
2023-02-24 0.2.3
2023-01-20 0.2.2

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Package optiSel (with last version 2.0.7) was removed from CRAN

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

2023-05-08 2.0.7
2023-01-27 2.0.6

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Package nadiv (with last version 2.17.2) was removed from CRAN

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

2022-12-07 2.17.2
2021-04-06 2.17.1
2021-01-14 2.17.0
2019-10-20 2.16.2.0
2018-05-10 2.16.0.0
2016-09-22 2.14.3.1
2016-04-19 2.14.3
2016-02-05 2.14.2
2015-07-22 2.14.1
2015-07-03 2.14.0
2015-06-03 2.13.3
2014-06-20 2.13.2
2014-06-16 2.13
2013-07-17 2.12
2013-02-26 2.11
2012-10-17 2.10
2012-03-28 2.9
2012-02-07 2.8
2011-12-18 2.7

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Package xgboost updated to version 1.7.6.1 with previous version 1.7.5.1 dated 2023-03-30

Title: Extreme Gradient Boosting
Description: Extreme Gradient Boosting, which is an efficient implementation of the gradient boosting framework from Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>. This package is its R interface. The package includes efficient linear model solver and tree learning algorithms. The package can automatically do parallel computation on a single machine which could be more than 10 times faster than existing gradient boosting packages. It supports various objective functions, including regression, classification and ranking. The package is made to be extensible, so that users are also allowed to define their own objectives easily.
Author: Tianqi Chen [aut], Tong He [aut], Michael Benesty [aut], Vadim Khotilovich [aut], Yuan Tang [aut] , Hyunsu Cho [aut], Kailong Chen [aut], Rory Mitchell [aut], Ignacio Cano [aut], Tianyi Zhou [aut], Mu Li [aut], Junyuan Xie [aut], Min Lin [aut], Yifen [...truncated...]
Maintainer: Jiaming Yuan <jm.yuan@outlook.com>

Diff between xgboost versions 1.7.5.1 dated 2023-03-30 and 1.7.6.1 dated 2023-12-06

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Package remify updated to version 3.2.4 with previous version 3.2.3 dated 2023-12-05

Title: Processing and Transforming Relational Event History Data
Description: Efficiently processes relational event history data and transforms them into formats suitable for other packages. The primary objective of this package is to convert event history data into a format that integrates with the packages in 'remverse' and is compatible with various analytical tools (e.g., computing network statistics, estimating tie-oriented or actor-oriented social network models). Second, it can also transform the data into formats compatible with other packages out of 'remverse'. The package processes the data for two types of temporal social network models: tie-oriented modeling framework (Butts, C., 2008, <doi:10.1111/j.1467-9531.2008.00203.x>) and actor-oriented modeling framework (Stadtfeld, C., & Block, P., 2017, <doi:10.15195/v4.a14>).
Author: Giuseppe Arena [aut, cre], Rumana Lakdawala [ctb], Marlyne Meijerink-Bosman [ctb], Diana Karimova [ctb], Fabio Generoso Vieira [ctb], Mahdi Shafiee Kamalabad [ctb], Roger Leenders [ctb], Joris Mulder [ctb]
Maintainer: Giuseppe Arena <g.arena@tilburguniversity.edu>

Diff between remify versions 3.2.3 dated 2023-12-05 and 3.2.4 dated 2023-12-06

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Package hstats updated to version 1.1.1 with previous version 1.1.0 dated 2023-11-13

Title: Interaction Statistics
Description: Fast, model-agnostic implementation of different H-statistics introduced by Jerome H. Friedman and Bogdan E. Popescu (2008) <doi:10.1214/07-AOAS148>. These statistics quantify interaction strength per feature, feature pair, and feature triple. The package supports multi-output predictions and can account for case weights. In addition, several variants of the original statistics are provided. The shape of the interactions can be explored through partial dependence plots or individual conditional expectation plots. 'DALEX' explainers, meta learners ('mlr3', 'tidymodels', 'caret') and most other models work out-of-the-box.
Author: Michael Mayer [aut, cre]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

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Package RcmdrPlugin.DCCV updated to version 0.1-3 with previous version 0.1-2 dated 2023-03-11

Title: R Commander Plug-in for Dichotomous Choice Contingent Valuation
Description: Adds menu items to the R Commander for parametric analysis of dichotomous choice contingent valuation (DCCV) data. CV is a question-based survey method to elicit individuals' preferences for goods and services. This package depends on functions regarding parametric DCCV analysis in the package DCchoice. See Carson and Hanemann (2005) <doi:10.1016/S1574-0099(05)02017-6> for DCCV.
Author: Hideo Aizaki
Maintainer: Hideo Aizaki <azk-r@spa.nifty.com>

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Package splus2R updated to version 1.3-4 with previous version 1.3-3 dated 2021-01-30

Title: Supplemental S-PLUS Functionality in R
Description: Currently there are many functions in S-PLUS that are missing in R. To facilitate the conversion of S-PLUS packages to R packages, this package provides some missing S-PLUS functionality in R.
Author: William Constantine [aut], Tim Hesterberg [aut], Knut Wittkowski [ctb], Tingting Song [ctb], Bill Dunlap [ctb], Stephen Kaluzny [ctb, cre]
Maintainer: Stephen Kaluzny <spkaluzny@gmail.com>

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Package sna updated to version 2.7-2 with previous version 2.7-1 dated 2023-01-24

Title: Tools for Social Network Analysis
Description: A range of tools for social network analysis, including node and graph-level indices, structural distance and covariance methods, structural equivalence detection, network regression, random graph generation, and 2D/3D network visualization.
Author: Carter T. Butts [aut, cre, cph]
Maintainer: Carter T. Butts <buttsc@uci.edu>

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 src/layout.c      |    1 
 src/layout.h      |    1 
 src/likelihood.c  |    1 
 src/likelihood.h  |    1 
 src/nli.c         |    1 
 src/nli.h         |    1 
 src/paths.c       |   15 +++++-----
 src/paths.h       |    1 
 src/randomgraph.c |    1 
 src/randomgraph.h |    1 
 src/triads.c      |    1 
 src/triads.h      |    1 
 src/utils.c       |    3 +-
 38 files changed, 87 insertions(+), 51 deletions(-)

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Package RcmdrPlugin.DCE updated to version 0.2-1 with previous version 0.2-0 dated 2023-11-07

Title: R Commander Plug-in for Discrete Choice Experiments
Description: Adds menu items for discrete choice experiments (DCEs) to the R Commander. DCE is a question-based survey method that designs various combinations (profiles) of attribute levels using the experimental designs, asks respondents to select the most preferred profile in each choice set, and then measures preferences for the attribute levels by analyzing the responses. For details on DCEs, refer to Louviere et al. (2000) <doi:10.1017/CBO9780511753831>.
Author: Hideo Aizaki
Maintainer: Hideo Aizaki <azk-r@spa.nifty.com>

Diff between RcmdrPlugin.DCE versions 0.2-0 dated 2023-11-07 and 0.2-1 dated 2023-12-06

 DESCRIPTION                    |    8 +--
 MD5                            |   10 +--
 NEWS                           |    3 +
 R/RcmdrPlugin.DCE.R            |  109 ++++++++++++++++++++++-------------------
 inst/CITATION                  |   15 +++++
 man/RcmdrPlugin.DCE-package.Rd |    1 
 6 files changed, 87 insertions(+), 59 deletions(-)

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Package RcmdrPlugin.BWS3 updated to version 0.2-1 with previous version 0.2-0 dated 2023-11-23

Title: R Commander Plug-in for Case 3 Best-Worst Scaling
Description: Adds menu items for case 3 (multi-profile) best-worst scaling (BWS3) to the R Commander. BWS3 is a question-based survey method that designs various combinations of attribute levels (profiles), asks respondents to select the best and worst profiles in each choice set, and then measures preferences for the attribute levels by analyzing the responses. For details on BWS3, refer to Louviere et al. (2015) <doi:10.1017/CBO9781107337855>.
Author: Hideo Aizaki
Maintainer: Hideo Aizaki <azk-r@spa.nifty.com>

Diff between RcmdrPlugin.BWS3 versions 0.2-0 dated 2023-11-23 and 0.2-1 dated 2023-12-06

 DESCRIPTION          |    8 ++--
 MD5                  |    6 +--
 NEWS                 |    5 ++
 R/RcmdrPlugin.BWS3.R |   99 +++++++++++++++++++++++++++------------------------
 4 files changed, 65 insertions(+), 53 deletions(-)

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Package htmlwidgets updated to version 1.6.4 with previous version 1.6.3 dated 2023-11-22

Title: HTML Widgets for R
Description: A framework for creating HTML widgets that render in various contexts including the R console, 'R Markdown' documents, and 'Shiny' web applications.
Author: Ramnath Vaidyanathan [aut, cph], Yihui Xie [aut], JJ Allaire [aut], Joe Cheng [aut], Carson Sievert [aut, cre] , Kenton Russell [aut, cph], Ellis Hughes [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Carson Sievert <carson@posit.co>

Diff between htmlwidgets versions 1.6.3 dated 2023-11-22 and 1.6.4 dated 2023-12-06

 DESCRIPTION                    |    6 +++---
 MD5                            |   14 +++++++-------
 NEWS.md                        |    4 ++++
 R/utils.R                      |    3 ++-
 inst/doc/develop_advanced.R    |    2 +-
 inst/doc/develop_advanced.html |    6 +++---
 inst/doc/develop_intro.html    |    4 ++--
 inst/doc/develop_sizing.html   |    4 ++--
 8 files changed, 24 insertions(+), 19 deletions(-)

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Package AcceptanceSampling updated to version 1.0-10 with previous version 1.0-8 dated 2022-04-06

Title: Creation and Evaluation of Acceptance Sampling Plans
Description: Provides functionality for creating and evaluating acceptance sampling plans. Sampling plans can be single, double or multiple.
Author: Andreas Kiermeier [aut, cre], Peter Bloomfield [ctb]
Maintainer: Andreas Kiermeier <Andreas.Kiermeier@gmail.com>

Diff between AcceptanceSampling versions 1.0-8 dated 2022-04-06 and 1.0-10 dated 2023-12-06

 DESCRIPTION                             |   10 ++++++----
 MD5                                     |   13 +++++++------
 NEWS.md                                 |only
 R/code_generic.R                        |    4 +++-
 R/code_twoclass.R                       |   18 +++++++++++++++---
 build/vignette.rds                      |binary
 inst/CITATION                           |   29 +++++++++++------------------
 inst/doc/acceptance_sampling_manual.pdf |binary
 8 files changed, 42 insertions(+), 32 deletions(-)

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