Sat, 12 Apr 2025

Package SAR updated to version 1.0.4 with previous version 1.0.3 dated 2020-10-07

Title: Smart Adaptive Recommendations
Description: 'Smart Adaptive Recommendations' (SAR) is the name of a fast, scalable, adaptive algorithm for personalized recommendations based on user transactions and item descriptions. It produces easily explainable/interpretable recommendations and handles "cold item" and "semi-cold user" scenarios. This package provides two implementations of 'SAR': a standalone implementation, and an interface to a web service in Microsoft's 'Azure' cloud: <https://github.com/Microsoft/Product-Recommendations/blob/master/doc/sar.md>. The former allows fast and easy experimentation, and the latter provides robust scalability and extra features for production use.
Author: Hong Ooi [aut, cre], Microsoft Product Recommendations team [ctb] , Microsoft [cph]
Maintainer: Hong Ooi <hongooi73@gmail.com>

Diff between SAR versions 1.0.3 dated 2020-10-07 and 1.0.4 dated 2025-04-12

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Package paran updated to version 1.5.4 with previous version 1.5.3 dated 2024-04-14

Title: Horn's Test of Principal Components/Factors
Description: An implementation of Horn's technique for numerically and graphically evaluating the components or factors retained in a principle components analysis (PCA) or common factor analysis (FA). Horn's method contrasts eigenvalues produced through a PCA or FA on a number of random data sets of uncorrelated variables with the same number of variables and observations as the experimental or observational data set to produce eigenvalues for components or factors that are adjusted for the sample error-induced inflation. Components with adjusted eigenvalues greater than one are retained. paran may also be used to conduct parallel analysis following Glorfeld's (1995) suggestions to reduce the likelihood of over-retention.
Author: Alexis Dinno [aut, cre, cph]
Maintainer: Alexis Dinno <alexis.dinno@pdx.edu>

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Package GPArotation updated to version 2025.3-1 with previous version 2024.3-1 dated 2024-03-01

Title: Gradient Projection Factor Rotation
Description: Gradient Projection Algorithms for Factor Rotation. For details see ?GPArotation. When using this package, please cite Bernaards and Jennrich (2005) <doi:10.1177/0013164404272507> 'Gradient Projection Algorithms and Software for Arbitrary Rotation Criteria in Factor Analysis'.
Author: Coen Bernaards [aut, cre], Paul Gilbert [aut], Robert Jennrich [aut]
Maintainer: Coen Bernaards <cab.gparotation@gmail.com>

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Package gitr updated to version 0.0.2 with previous version 0.0.1 dated 2023-02-15

Title: A Lightweight API for 'Git'
Description: A light-weight, dependency-free, application programming interface (API) to access system-level 'Git' commands from within 'R'. Contains wrappers and defaults for common data science workflows as well as 'Zsh' <https://github.com/ohmyzsh/ohmyzsh> plugin aliases. A generalized API syntax is also available. A system installation of 'Git' <https://git-scm.com/downloads> is required.
Author: Stu Field [aut, cre, cph]
Maintainer: Stu Field <stu.g.field@gmail.com>

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Package tidydann updated to version 1.0.1 with previous version 1.0.0 dated 2023-11-20

Title: Add the 'dann' Model and the 'sub_dann' Model to the Tidymodels Ecosystem
Description: Provides model specifications, tuning parameters for models in 'dann' package. Models based on Hastie (1996) <https://web.stanford.edu/~hastie/Papers/dann_IEEE.pdf>.
Author: Greg McMahan [aut, cre]
Maintainer: Greg McMahan <gmcmacran@gmail.com>

Diff between tidydann versions 1.0.0 dated 2023-11-20 and 1.0.1 dated 2025-04-12

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Package SSDforR updated to version 1.5.41 with previous version 1.5.40 dated 2025-04-04

Title: Functions to Analyze Single System Data
Description: Functions to visually and statistically analyze single system data.
Author: Charles Auerbach [aut, cre], Wendy Zeitlin [aut]
Maintainer: Charles Auerbach <auerbach@yu.edu>

Diff between SSDforR versions 1.5.40 dated 2025-04-04 and 1.5.41 dated 2025-04-12

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Package FedData updated to version 4.3.0 with previous version 4.2.0 dated 2024-12-10

Title: Download Geospatial Data Available from Several Federated Data Sources
Description: Download geospatial data available from several federated data sources (mainly sources maintained by the US Federal government). Currently, the package enables extraction from nine datasets: The National Elevation Dataset digital elevation models (<https://www.usgs.gov/3d-elevation-program> 1 and 1/3 arc-second; USGS); The National Hydrography Dataset (<https://www.usgs.gov/national-hydrography/national-hydrography-dataset>; USGS); The Soil Survey Geographic (SSURGO) database from the National Cooperative Soil Survey (<https://websoilsurvey.sc.egov.usda.gov/>; NCSS), which is led by the Natural Resources Conservation Service (NRCS) under the USDA; the Global Historical Climatology Network (<https://www.ncei.noaa.gov/products/land-based-station/global-historical-climatology-network-daily>; GHCN), coordinated by National Climatic Data Center at NOAA; the Daymet gridded estimates of daily weather parameters for North America, version 4, available from the Oak Ridge [...truncated...]
Author: R. Kyle Bocinsky [aut, cre, cph] , Dylan Beaudette [ctb], Scott Chamberlain [ctb, rev], Jeffrey Hollister [ctb], Julia Gustavsen [rev]
Maintainer: R. Kyle Bocinsky <bocinsky@gmail.com>

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Package dann updated to version 1.0.2 with previous version 1.0.0 dated 2023-09-23

Title: Discriminant Adaptive Nearest Neighbor Classification
Description: Discriminant Adaptive Nearest Neighbor Classification is a variation of k nearest neighbors where the shape of the neighborhood is data driven. This package implements dann and sub_dann from Hastie (1996) <https://web.stanford.edu/~hastie/Papers/dann_IEEE.pdf>.
Author: Greg McMahan [aut, cre]
Maintainer: Greg McMahan <gmcmacran@gmail.com>

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Package rcheology updated to version 4.5.0.0 with previous version 4.4.3.0 dated 2025-03-03

Title: Data on Base and Recommended Packages for Current and Previous Versions of R
Description: Provides a dataset of functions in all base and recommended packages of R versions 0.50 onwards.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

Diff between rcheology versions 4.4.3.0 dated 2025-03-03 and 4.5.0.0 dated 2025-04-12

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Package ChemoSpecUtils updated to version 1.0.5 with previous version 1.0.4 dated 2024-01-31

Title: Functions Supporting Packages ChemoSpec and ChemoSpec2D
Description: Functions supporting the common needs of packages 'ChemoSpec' and 'ChemoSpec2D'.
Author: Bryan A. Hanson [aut, cre] , Tejasvi Gupta [ctb]
Maintainer: Bryan A. Hanson <hanson@depauw.edu>

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Package power.transform updated to version 1.0.1 with previous version 1.0.0 dated 2024-09-13

Title: Location and Scale Invariant Power Transformations
Description: Location- and scale-invariant Box-Cox and Yeo-Johnson power transformations allow for transforming variables with distributions distant from 0 to normality. Transformers are implemented as S4 objects. These allow for transforming new instances to normality after optimising fitting parameters on other data. A test for central normality allows for rejecting transformations that fail to produce a suitably normal distribution, independent of sample number.
Author: Alex Zwanenburg [aut, cre] , Steffen Loeck [aut], German Cancer Research Center [cph]
Maintainer: Alex Zwanenburg <alexander.zwanenburg@nct-dresden.de>

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Package GetBCBData updated to version 0.8.0 with previous version 0.7.0 dated 2022-06-07

Title: Imports Datasets from BCB (Central Bank of Brazil) using Its Official API
Description: Downloads and organizes datasets using BCB's API <https://www.bcb.gov.br/>. Offers options for caching with the 'memoise' package and , multicore/multisession with 'furrr' and format of output data (long/wide).
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>

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Package AzureCognitive updated to version 1.0.2 with previous version 1.0.1 dated 2020-10-15

Title: Interface to Azure Cognitive Services
Description: An interface to Azure Cognitive Services <https://learn.microsoft.com/en-us/azure/cognitive-services/>. Both an 'Azure Resource Manager' interface, for deploying Cognitive Services resources, and a client framework are supplied. While 'AzureCognitive' can be called by the end-user, it is meant to provide a foundation for other packages that will support specific services, like Computer Vision, Custom Vision, language translation, and so on. Part of the 'AzureR' family of packages.
Author: Hong Ooi [aut, cre], Microsoft [cph]
Maintainer: Hong Ooi <hongooi73@gmail.com>

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Package RMAWGEN updated to version 1.3.9.3 with previous version 1.3.7 dated 2019-12-12

Title: Multi-Site Auto-Regressive Weather GENerator
Description: S3 and S4 functions are implemented for spatial multi-site stochastic generation of daily time series of temperature and precipitation. These tools make use of Vector AutoRegressive models (VARs). The weather generator model is then saved as an object and is calibrated by daily instrumental "Gaussianized" time series through the 'vars' package tools. Once obtained this model, it can it can be used for weather generations and be adapted to work with several climatic monthly time series.
Author: Emanuele Cordano [aut, cre, ctb] , Emanuele Eccel [aut] , Eike Luedeling [ctb]
Maintainer: Emanuele Cordano <emanuele.cordano@gmail.com>

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Package pmxcode updated to version 0.3.0 with previous version 0.2.0 dated 2025-02-28

Title: Create Pharmacometric Models
Description: Provides a user interface to create or modify pharmacometric models for various modeling and simulation software platforms.
Author: Sebastien Bihorel [cre, aut]
Maintainer: Sebastien Bihorel <sb.pmlab@gmail.com>

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Package remote updated to version 1.2.3 with previous version 1.2.1 dated 2016-09-17

Title: Empirical Orthogonal Teleconnections in R
Description: Empirical orthogonal teleconnections in R. 'remote' is short for 'R(-based) EMpirical Orthogonal TEleconnections'. It implements a collection of functions to facilitate empirical orthogonal teleconnection analysis. Empirical Orthogonal Teleconnections (EOTs) denote a regression based approach to decompose spatio-temporal fields into a set of independent orthogonal patterns. They are quite similar to Empirical Orthogonal Functions (EOFs) with EOTs producing less abstract results. In contrast to EOFs, which are orthogonal in both space and time, EOT analysis produces patterns that are orthogonal in either space or time.
Author: Tim Appelhans [cre, aut], Florian Detsch [aut], Thomas Nauss [ctb]
Maintainer: Tim Appelhans <tim.appelhans@gmail.com>

Diff between remote versions 1.2.1 dated 2016-09-17 and 1.2.3 dated 2025-04-12

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Package GPfit updated to version 1.0-9 with previous version 1.0-8 dated 2019-02-08

Title: Gaussian Processes Modeling
Description: A computationally stable approach of fitting a Gaussian Process (GP) model to a deterministic simulator.
Author: Blake MacDoanld [aut], Hugh Chipman [aut, cre], Chris Campbell [ctb], Pritam Ranjan [aut]
Maintainer: Hugh Chipman <hugh.chipman@acadiau.ca>

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Package CFtime updated to version 1.6.1 with previous version 1.6.0 dated 2025-03-28

Title: Using CF-Compliant Calendars with Climate Projection Data
Description: Support for all calendars as specified in the Climate and Forecast (CF) Metadata Conventions for climate and forecasting data. The CF Metadata Conventions is widely used for distributing files with climate observations or projections, including the Coupled Model Intercomparison Project (CMIP) data used by climate change scientists and the Intergovernmental Panel on Climate Change (IPCC). This package specifically allows the user to work with any of the CF-compliant calendars (many of which are not compliant with POSIXt). The CF time coordinate is formally defined in the CF Metadata Conventions document available at <https://cfconventions.org/Data/cf-conventions/cf-conventions-1.12/cf-conventions.html#time-coordinate>.
Author: Patrick Van Laake [aut, cre, cph]
Maintainer: Patrick Van Laake <patrick@vanlaake.net>

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Package fs updated to version 1.6.6 with previous version 1.6.5 dated 2024-10-30

Title: Cross-Platform File System Operations Based on 'libuv'
Description: A cross-platform interface to file system operations, built on top of the 'libuv' C library.
Author: Jim Hester [aut], Hadley Wickham [aut], Gabor Csardi [aut, cre], libuv project contributors [cph] , Joyent, Inc. and other Node contributors [cph] , Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package ps updated to version 1.9.1 with previous version 1.9.0 dated 2025-02-18

Title: List, Query, Manipulate System Processes
Description: List, query and manipulate all system processes, on 'Windows', 'Linux' and 'macOS'.
Author: Jay Loden [aut], Dave Daeschler [aut], Giampaolo Rodola' [aut], Gabor Csardi [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package pkgsearch updated to version 3.1.5 with previous version 3.1.4 dated 2025-01-09

Title: Search and Query CRAN R Packages
Description: Search CRAN metadata about packages by keyword, popularity, recent activity, package name and more. Uses the 'R-hub' search server, see <https://r-pkg.org> and the CRAN metadata database, that contains information about CRAN packages. Note that this is _not_ a CRAN project.
Author: Gabor Csardi [aut, cre], Maelle Salmon [aut] , R Consortium [fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package cubeview updated to version 0.2.4 with previous version 0.2.0 dated 2019-09-24

Title: View 3D Raster Cubes Interactively
Description: Creates a 3D data cube view of a RasterStack/Brick, typically a collection/array of RasterLayers (along z-axis) with the same geographical extent (x and y dimensions) and resolution, provided by package 'raster'. Slices through each dimension (x/y/z), freely adjustable in location, are mapped to the visible sides of the cube. The cube can be freely rotated. Zooming and panning can be used to focus on different areas of the cube.
Author: Tim Appelhans [cre, aut], Stefan Woellauer [aut], three.js authors [ctb, cph]
Maintainer: Tim Appelhans <tim.appelhans@gmail.com>

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Package ReMFPCA updated to version 2.0.0 with previous version 1.0.0 dated 2023-07-01

Title: Regularized Multivariate Functional Principal Component Analysis
Description: Methods and tools for implementing regularized multivariate functional principal component analysis ('ReMFPCA') for multivariate functional data whose variables might be observed over different dimensional domains. 'ReMFPCA' is an object-oriented interface leveraging the extensibility and scalability of R6. It employs a parameter vector to control the smoothness of each functional variable. By incorporating smoothness constraints as penalty terms within a regularized optimization framework, 'ReMFPCA' generates smooth multivariate functional principal components, offering a concise and interpretable representation of the data. For detailed information on the methods and techniques used in 'ReMFPCA', please refer to Haghbin et al. (2023) <doi:10.48550/arXiv.2306.13980>.
Author: Hossein Haghbin [aut, cre] , Yue Zhao [aut] , Mehdi Maadooliat [aut]
Maintainer: Hossein Haghbin <haghbin@pgu.ac.ir>

Diff between ReMFPCA versions 1.0.0 dated 2023-07-01 and 2.0.0 dated 2025-04-12

 DESCRIPTION                  |    9 
 MD5                          |   62 +++---
 NEWS.md                      |only
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 35 files changed, 1138 insertions(+), 669 deletions(-)

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New package ProteinPCA with initial version 0.1.0
Package: ProteinPCA
Title: Principal Component Analysis (PCA) Tool on Protein Expression Data
Version: 0.1.0
Author: Paul Angelo C. Manlapaz [aut, cre]
Maintainer: Paul Angelo C. Manlapaz <pacmanlapaz@gmail.com>
Description: Analysis of protein expression data can be done through Principal Component Analysis (PCA), and this R package is designed to streamline the analysis. This package enables users to perform PCA and it generates biplot and scree plot for advanced graphical visualization. Optionally, it supports grouping/clustering visualization with PCA loadings and confidence ellipses. With this R package, researchers can quickly explore complex protein datasets, interpret variance contributions, and visualize sample clustering through intuitive biplots. For more details, see Jolliffe (2001) <doi:10.1007/b98835>, Gabriel (1971) <doi:10.1093/biomet/58.3.453>, Zhang et al. (2024) <doi:10.1038/s41467-024-53239-9>, and Anandan et al. (2022) <doi:10.1038/s41598-022-07781-5>.
License: GPL-3
Encoding: UTF-8
Imports: stats, ggplot2, gridExtra
Suggests: testthat
NeedsCompilation: no
Packaged: 2025-04-10 13:29:23 UTC; PTRI
Repository: CRAN
Date/Publication: 2025-04-12 08:30:05 UTC

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Package MetricsWeighted updated to version 1.0.4 with previous version 1.0.3 dated 2023-11-16

Title: Weighted Metrics and Performance Measures for Machine Learning
Description: Provides weighted versions of several metrics and performance measures used in machine learning, including average unit deviances of the Bernoulli, Tweedie, Poisson, and Gamma distributions, see Jorgensen B. (1997, ISBN: 978-0412997112). The package also contains a weighted version of generalized R-squared, see e.g. Cohen, J. et al. (2002, ISBN: 978-0805822236). Furthermore, 'dplyr' chains are supported.
Author: Michael Mayer [aut, cre], Christian Lorentzen [ctb]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

Diff between MetricsWeighted versions 1.0.3 dated 2023-11-16 and 1.0.4 dated 2025-04-12

 DESCRIPTION                   |    8 ++++----
 MD5                           |   32 ++++++++++++++++----------------
 NEWS.md                       |    9 +++++++++
 R/classification.R            |   20 ++++++++++----------
 R/elementary_score.R          |   34 +++++++++++++++++++++-------------
 R/multi_metric.R              |   21 ++++++++++++---------
 R/murphy_diagram.R            |   17 +++++++++++------
 R/performance.R               |   13 ++++++++++---
 R/regression.R                |   30 +++++++++++++++---------------
 R/rsquared.R                  |   19 ++++++++++++++-----
 R/statistics.R                |   28 ++++++++++++++++++----------
 README.md                     |    7 +++----
 build/vignette.rds            |binary
 inst/doc/MetricsWeighted.R    |    2 +-
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 man/classification.Rd         |    2 +-
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 17 files changed, 157 insertions(+), 108 deletions(-)

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New package FLAG with initial version 0.1
Package: FLAG
Title: Flexible and Accurate Gaussian Graphical Models
Version: 0.1
Description: In order to achieve accurate estimation without sparsity assumption on the precision matrix, element-wise inference on the precision matrix, and joint estimation of multiple Gaussian graphical models, a novel method is proposed and efficient algorithm is implemented. FLAG() is the main function given a data matrix, and FlagOneEdge() will be used when one pair of random variables are interested where their indices should be given. Flexible and Accurate Methods for Estimation and Inference of Gaussian Graphical Models with Applications, see Qian Y (2023) <doi:10.14711/thesis-991013223054603412>, Qian Y, Hu X, Yang C (2023) <doi:10.48550/arXiv.2306.17584>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, MASS
URL: https://github.com/YangLabHKUST/FLAG
BugReports: https://github.com/YangLabHKUST/FLAG/issues
NeedsCompilation: no
Packaged: 2025-04-10 09:36:49 UTC; asus
Author: Yueqi QIAN [aut, cre]
Maintainer: Yueqi QIAN <yqianai@connect.ust.hk>
Repository: CRAN
Date/Publication: 2025-04-12 08:10:06 UTC

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Package etm updated to version 1.1.2 with previous version 1.1.1 dated 2020-09-08

Title: Empirical Transition Matrix
Description: The etm (empirical transition matrix) package permits to estimate the matrix of transition probabilities for any time-inhomogeneous multi-state model with finite state space using the Aalen-Johansen estimator. Functions for data preparation and for displaying are also included (Allignol et al., 2011 <doi:10.18637/jss.v038.i04>). Functionals of the Aalen-Johansen estimator, e.g., excess length-of-stay in an intermediate state, can also be computed (Allignol et al. 2011 <doi:10.1007/s00180-010-0200-x>).
Author: Arthur Allignol [aut], Mark Clements [cre, aut]
Maintainer: Mark Clements <mark.clements@ki.se>

Diff between etm versions 1.1.1 dated 2020-09-08 and 1.1.2 dated 2025-04-12

 DESCRIPTION                  |   19 ++++++++++---------
 MD5                          |   14 +++++++-------
 R/clos.R                     |    6 +++---
 R/clos_intern.R              |    4 ++--
 R/clos_pure.R                |    8 ++++----
 R/etm.R                      |    3 ++-
 inst/CITATION                |   19 ++++++-------------
 inst/doc/etmCIF_tutorial.pdf |binary
 8 files changed, 34 insertions(+), 39 deletions(-)

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New package energymethod with initial version 1.0
Package: energymethod
Title: Two-Sample Test of many Functional Means using the Energy Method
Version: 1.0
Date: 2025-04-09
Maintainer: David Colin Decker <d.colin.decker@gmail.com>
Description: Given two samples of size n_1 and n_2 from a data set where each sample consists of K functional observations (channels), each recorded on T grid points, the function energy method implements a hypothesis test of equality of channel-wise mean at each channel using the bootstrapped distribution of maximum energy to control family wise error.
License: GPL-3
Imports: Rcpp (>= 1.0.14)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2025-04-10 12:54:17 UTC; David
Author: David Colin Decker [aut, cre]
Repository: CRAN
Date/Publication: 2025-04-12 08:30:02 UTC

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New package e2tree with initial version 0.1.2
Package: e2tree
Title: Explainable Ensemble Trees
Version: 0.1.2
Description: The Explainable Ensemble Trees 'e2tree' approach has been proposed by Aria et al. (2024) <doi:10.1007/s00180-022-01312-6>. It aims to explain and interpret decision tree ensemble models using a single tree-like structure. 'e2tree' is a new way of explaining an ensemble tree trained through 'randomForest' or 'xgboost' packages.
License: MIT + file LICENSE
URL: https://github.com/massimoaria/e2tree
BugReports: https://github.com/massimoaria/e2tree/issues
Encoding: UTF-8
Imports: dplyr, doParallel, parallel, foreach, future.apply, ggplot2, Matrix, partitions, purrr, tidyr, randomForest, rpart.plot, Rcpp, RSpectra, ape
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2025-04-10 11:11:45 UTC; massimoaria
Author: Massimo Aria [aut, cre, cph] , Agostino Gnasso [aut]
Maintainer: Massimo Aria <aria@unina.it>
Repository: CRAN
Date/Publication: 2025-04-12 08:20:02 UTC

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New package butterfly with initial version 1.1.2
Package: butterfly
Title: Verification for Continually Updating Time Series Data
Version: 1.1.2
Description: Verification of continually updating time series data where we expect new values, but want to ensure previous data remains unchanged. Data previously recorded could change for a number of reasons, such as discovery of an error in model code, a change in methodology or instrument recalibration. Monitoring data sources for these changes is not always possible. Other unnoticed changes could include a jump in time or measurement frequency, due to instrument failure or software updates. Functionality is provided that can be used to check and flag changes to previous data to prevent changes going unnoticed, as well as unexpected jumps in time.
License: MIT + file LICENSE
URL: https://docs.ropensci.org/butterfly/, https://github.com/ropensci/butterfly/
BugReports: https://github.com/ropensci/butterfly/issues
Depends: R (>= 4.1.0)
Imports: cli, dplyr, lifecycle, rlang, waldo
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-04-04 08:09:41 UTC; thozwa
Author: Thomas Zwagerman [aut, cre] , British Antarctic Survey [cph], Quentin Read [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/676>)
Maintainer: Thomas Zwagerman <thozwa@bas.ac.uk>
Repository: CRAN
Date/Publication: 2025-04-12 08:10:02 UTC

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Package AzureKeyVault updated to version 1.0.6 with previous version 1.0.5 dated 2021-09-16

Title: Key and Secret Management in 'Azure'
Description: Manage keys, certificates, secrets, and storage accounts in Microsoft's 'Key Vault' service: <https://azure.microsoft.com/products/key-vault/>. Provides facilities to store and retrieve secrets, use keys to encrypt, decrypt, sign and verify data, and manage certificates. Integrates with the 'AzureAuth' package to enable authentication with a certificate, and with the 'openssl' package for importing and exporting cryptographic objects. Part of the 'AzureR' family of packages.
Author: Hong Ooi [aut, cre], Microsoft [cph]
Maintainer: Hong Ooi <hongooi73@gmail.com>

Diff between AzureKeyVault versions 1.0.5 dated 2021-09-16 and 1.0.6 dated 2025-04-12

 DESCRIPTION                    |   10 
 MD5                            |   66 ++---
 R/add_methods.R                |   20 -
 R/az_vault.R                   |   10 
 R/certificates.R               |    6 
 R/keys.R                       |    4 
 R/secrets.R                    |    4 
 R/storage_accounts.R           |    4 
 R/stored_acct.R                |    4 
 R/stored_cert.R                |    4 
 R/stored_key.R                 |    4 
 R/stored_secret.R              |    4 
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 README.md                      |    2 
 build/vignette.rds             |binary
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 inst/doc/intro.html            |  541 +++++++++++++++++++++++++----------------
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 man/certificate.Rd             |   10 
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 man/storage_account.Rd         |   20 -
 man/storage_accounts.Rd        |   10 
 man/vault_access_policy.Rd     |    4 
 vignettes/intro.Rmd            |    6 
 34 files changed, 511 insertions(+), 354 deletions(-)

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Package AzureContainers updated to version 1.3.3 with previous version 1.3.2 dated 2021-07-09

Title: Interface to 'Container Instances', 'Docker Registry' and 'Kubernetes' in 'Azure'
Description: An interface to container functionality in Microsoft's 'Azure' cloud: <https://azure.microsoft.com/en-us/products/category/containers/>. Manage 'Azure Container Instance' (ACI), 'Azure Container Registry' (ACR) and 'Azure Kubernetes Service' (AKS) resources, push and pull images, and deploy services. On the client side, lightweight shells to the 'docker', 'docker-compose', 'kubectl' and 'helm' commandline tools are provided. Part of the 'AzureR' family of packages.
Author: Hong Ooi [aut, cre], Bill Liang [ctb] , Ramkumar Chandrasekaran [ctb] , Microsoft [cph]
Maintainer: Hong Ooi <hongooi73@gmail.com>

Diff between AzureContainers versions 1.3.2 dated 2021-07-09 and 1.3.3 dated 2025-04-12

 DESCRIPTION                               |   10 
 MD5                                       |   66 +--
 NEWS.md                                   |    2 
 R/add_aci_methods.R                       |   18 
 R/add_acr_methods.R                       |   16 
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 R/az_container_instance.R                 |    6 
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 README.md                                 |    2 
 build/vignette.rds                        |binary
 inst/doc/vig01_plumber_deploy.html        |  535 +++++++++++++++---------
 inst/doc/vig02_restrserve_deploy_aci.html |  462 ++++++++++++---------
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 inst/doc/vig04_rbac.Rmd                   |    4 
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 man/aci.Rd                                |    6 
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 man/create_aks.Rd                         |   12 
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 man/delete_acr.Rd                         |   10 
 man/delete_aks.Rd                         |   10 
 man/get_aci.Rd                            |   10 
 man/get_acr.Rd                            |   10 
 man/get_aks.Rd                            |   10 
 man/list_kubernetes_versions.Rd           |    6 
 man/list_vm_sizes.Rd                      |    6 
 vignettes/vig03_securing_aks_traefik.Rmd  |    4 
 vignettes/vig04_rbac.Rmd                  |    4 
 34 files changed, 1360 insertions(+), 995 deletions(-)

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New package artma with initial version 0.1.19
Package: artma
Title: Automatic Replication Tools for Meta-Analysis
Version: 0.1.19
Author: Petr Čala [aut, cre]
Maintainer: Petr Čala <61505008@fsv.cuni.cz>
Description: Provides a unified and straightforward interface for performing a variety of meta-analysis methods directly from user data. Users can input a data frame, specify key parameters, and effortlessly execute and compare multiple common meta-analytic models. Designed for immediate usability, the package facilitates transparent, reproducible research without manual implementation of each analytical method. Ideal for researchers aiming for efficiency and reproducibility, it streamlines workflows from data preparation to results interpretation.
License: GPL-3
URL: https://github.com/PetrCala/artma
BugReports: https://github.com/PetrCala/artma/issues
Depends: R (>= 4.0.0)
Imports: cli, glue, lifecycle, lintr, logger, metafor, rlang, stringr, withr, yaml
Suggests: box, box.linters, covr, devtools, fs, here, jsonlite, knitr, languageserver, mathjaxr, optparse, pkgbuild, remotes, rex, rmarkdown, roxygen2, rstudioapi, testthat, tidyverse, usethis
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: JAGS >= 4.3.1 (https://mcmc-jags.sourceforge.io/)
NeedsCompilation: no
Packaged: 2025-04-10 11:19:09 UTC; runner
Repository: CRAN
Date/Publication: 2025-04-12 08:20:05 UTC

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Package RcmdrPlugin.DCE updated to version 0.2-5 with previous version 0.2-3 dated 2024-05-21

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 [aut, cre]
Maintainer: Hideo Aizaki <azk-r@spa.nifty.com>

Diff between RcmdrPlugin.DCE versions 0.2-3 dated 2024-05-21 and 0.2-5 dated 2025-04-12

 DESCRIPTION                    |   16 +
 MD5                            |   13 -
 NEWS                           |    8 
 R/RcmdrPlugin.DCE.R            |  334 ++++++++++++++++++++++++++++++++++++++++-
 inst/CITATION                  |   70 ++++----
 inst/etc/menus.txt             |    1 
 man/RcmdrPlugin.DCE-package.Rd |   21 +-
 man/dceResponse.Rd             |only
 8 files changed, 404 insertions(+), 59 deletions(-)

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Package argonDash updated to version 0.2.5 with previous version 0.2.0 dated 2019-11-27

Title: Argon Shiny Dashboard Template
Description: Create awesome 'Bootstrap 4' dashboards powered by 'Argon'.
Author: David Granjon [aut, cre], RinteRface [cph], Creative Tim [ctb, cph]
Maintainer: David Granjon <dgranjon@ymail.com>

Diff between argonDash versions 0.2.0 dated 2019-11-27 and 0.2.5 dated 2025-04-12

 argonDash-0.2.0/argonDash/inst/examples/gallery/rsconnect                 |only
 argonDash-0.2.5/argonDash/DESCRIPTION                                     |   14 -
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 argonDash-0.2.5/argonDash/NEWS.md                                         |   27 +-
 argonDash-0.2.5/argonDash/R/argonDashGallery.R                            |    2 
 argonDash-0.2.5/argonDash/R/dashboardNavbar.R                             |   27 +-
 argonDash-0.2.5/argonDash/R/dashboardSidebar.R                            |   53 ++--
 argonDash-0.2.5/argonDash/R/deps.R                                        |   28 +-
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 argonDash-0.2.5/argonDash/R/utils.R                                       |   56 +++-
 argonDash-0.2.5/argonDash/README.md                                       |   55 +++-
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