Sun, 02 Nov 2025

Package redatamx updated to version 1.2.0 with previous version 1.1.4 dated 2025-06-09

Title: R Interface to 'Redatam' Library
Description: Provides an API to work with 'Redatam' (see <https://redatam.org>) databases in both formats: 'RXDB' (new format) and 'DICX' (old format) and running 'Redatam' programs written in 'SPC' language. It's a wrapper around 'Redatam' core and provides functions to open/close a database (redatam_open()/redatam_close()), list entities and variables from the database (redatam_entities(), redatam_variables()) and execute a 'SPC' program and gets the results as data frames (redatam_query(), redatam_run()).
Author: Jaime Salvador [aut, cre] , CELADE [cph]
Maintainer: Jaime Salvador <jaime.salvador@ideasybits.com>

Diff between redatamx versions 1.1.4 dated 2025-06-09 and 1.2.0 dated 2025-11-02

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 src/cpp11.cpp                 |    6 
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 36 files changed, 1225 insertions(+), 1161 deletions(-)

More information about redatamx at CRAN
Permanent link

Package musicMCT updated to version 0.3.0 with previous version 0.2.0 dated 2025-07-21

Title: Analyze the Structure of Musical Scales
Description: Analysis of musical scales (& modes, grooves, etc.) in the vein of Sherrill 2025 <doi:10.1215/00222909-11595194>. The initials MCT in the package title refer to the article's title: "Modal Color Theory." Offers support for conventional musical pitch class set theory as developed by Forte (1973, ISBN: 9780300016109) and David Lewin (1987, ISBN: 9780300034936), as well as for the continuous geometries of Callender, Quinn, & Tymoczko (2008) <doi:10.1126/science.1153021>. Identifies structural properties of scales and calculates derived values (sign vector, color number, brightness ratio, etc.). Creates plots such as "brightness graphs" which visualize these properties.
Author: Paul Sherrill [aut, cre, cph]
Maintainer: Paul Sherrill <paul.sherrill@utah.edu>

Diff between musicMCT versions 0.2.0 dated 2025-07-21 and 0.3.0 dated 2025-11-02

 musicMCT-0.2.0/musicMCT/R/realize_setword.R                                                             |only
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 musicMCT-0.3.0/musicMCT/DESCRIPTION                                                                     |    8 
 musicMCT-0.3.0/musicMCT/MD5                                                                             |  167 ++---
 musicMCT-0.3.0/musicMCT/NAMESPACE                                                                       |    9 
 musicMCT-0.3.0/musicMCT/NEWS.md                                                                         |   31 
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 musicMCT-0.3.0/musicMCT/R/colornum.R                                                                    |   27 
 musicMCT-0.3.0/musicMCT/R/colors.R                                                                      |    7 
 musicMCT-0.3.0/musicMCT/R/conversions.R                                                                 |    2 
 musicMCT-0.3.0/musicMCT/R/dft.R                                                                         |   10 
 musicMCT-0.3.0/musicMCT/R/fpunique.R                                                                    |   30 
 musicMCT-0.3.0/musicMCT/R/howfree.R                                                                     |   14 
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 musicMCT-0.3.0/musicMCT/R/lewin.R                                                                       |    2 
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 musicMCT-0.3.0/musicMCT/R/make_white_ineqmat.R                                                          |    2 
 musicMCT-0.3.0/musicMCT/R/makeineqmat.R                                                                 |    4 
 musicMCT-0.3.0/musicMCT/R/minimize_VL.R                                                                 |   97 ++
 musicMCT-0.3.0/musicMCT/R/propriety.R                                                                   |   18 
 musicMCT-0.3.0/musicMCT/R/realize_stepword.R                                                            |only
 musicMCT-0.3.0/musicMCT/R/set_theory.R                                                                  |  332 +++++++++-
 musicMCT-0.3.0/musicMCT/R/sim.R                                                                         |    2 
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 musicMCT-0.3.0/musicMCT/build/partial.rdb                                                               |binary
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 musicMCT-0.3.0/musicMCT/man/populate_flat.Rd                                                            |   10 
 musicMCT-0.3.0/musicMCT/man/primary_hue.Rd                                                              |   20 
 musicMCT-0.3.0/musicMCT/man/project_onto.Rd                                                             |   10 
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 musicMCT-0.3.0/musicMCT/man/signvector.Rd                                                               |   10 
 musicMCT-0.3.0/musicMCT/man/sim.Rd                                                                      |    2 
 musicMCT-0.3.0/musicMCT/man/simplify_scale.Rd                                                           |   17 
 musicMCT-0.3.0/musicMCT/man/step_signvector.Rd                                                          |   10 
 musicMCT-0.3.0/musicMCT/man/svzero_fingerprint.Rd                                                       |   10 
 musicMCT-0.3.0/musicMCT/man/tc.Rd                                                                       |    4 
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 musicMCT-0.3.0/musicMCT/man/vl_generators.Rd                                                            |    2 
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 musicMCT-0.3.0/musicMCT/man/whichsvzeroes.Rd                                                            |   10 
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 musicMCT-0.3.0/musicMCT/tests/testthat/test-brightness_comparisons.R                                    |   19 
 musicMCT-0.3.0/musicMCT/tests/testthat/test-brightnessgraph.R                                           |    6 
 musicMCT-0.3.0/musicMCT/tests/testthat/test-colornum.R                                                  |   11 
 musicMCT-0.3.0/musicMCT/tests/testthat/test-fpunique.R                                                  |   11 
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 musicMCT-0.3.0/musicMCT/tests/testthat/test-make_infrared_ineqmat.R                                     |only
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 musicMCT-0.3.0/musicMCT/tests/testthat/test-realize_stepword.R                                          |only
 musicMCT-0.3.0/musicMCT/tests/testthat/test-set_theory.R                                                |   99 ++
 musicMCT-0.3.0/musicMCT/tests/testthat/test-utils.R                                                     |   11 
 musicMCT-0.3.0/musicMCT/tests/testthat/test-vlsig.R                                                     |   72 +-
 musicMCT-0.3.0/musicMCT/tests/testthat/test-wellformedness.R                                            |   57 +
 musicMCT-0.3.0/musicMCT/vignettes/visualizing_higher_dimensions.Rmd                                     |    8 
 95 files changed, 1847 insertions(+), 436 deletions(-)

More information about musicMCT at CRAN
Permanent link

Package boostmath updated to version 1.3.0 with previous version 1.2.0 dated 2025-09-15

Title: 'R' Bindings for the 'Boost' Math Functions
Description: 'R' bindings for the various functions and statistical distributions provided by the 'Boost' Math library <https://www.boost.org/doc/libs/latest/libs/math/doc/html/index.html>.
Author: Andrew R. Johnson [aut, cre]
Maintainer: Andrew R. Johnson <andrew.johnson@arjohnsonau.com>

Diff between boostmath versions 1.2.0 dated 2025-09-15 and 1.3.0 dated 2025-11-02

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 229 files changed, 26312 insertions(+), 20162 deletions(-)

More information about boostmath at CRAN
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Package GDILM.SEIRS updated to version 0.0.5 with previous version 0.0.4 dated 2025-09-30

Title: Spatial Modeling of Infectious Disease with Reinfection
Description: Geographically Dependent Individual Level Models (GDILMs) within the Susceptible-Exposed-Infectious-Recovered-Susceptible (SEIRS) framework are applied to model infectious disease transmission, incorporating reinfection dynamics. This package employs a likelihood based Monte Carlo Expectation Conditional Maximization (MCECM) algorithm for estimating model parameters. It also provides tools for GDILM fitting, parameter estimation, AIC calculation on real pandemic data, and simulation studies customized to user-defined model settings.
Author: Amin Abed [aut, cre, cph] , Mahmoud Torabi [ths], Zeinab Mashreghi [ths]
Maintainer: Amin Abed <abeda@myumanitoba.ca>

Diff between GDILM.SEIRS versions 0.0.4 dated 2025-09-30 and 0.0.5 dated 2025-11-02

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Package spinner updated to version 1.1.1 with previous version 1.1.0 dated 2023-03-21

Title: An Implementation of Graph Net Architecture Based on 'torch'
Description: Proposes a 'torch' implementation of Graph Net architecture allowing different options for message passing and feature embedding.
Author: Giancarlo Vercellino [aut, cre, cph]
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>

Diff between spinner versions 1.1.0 dated 2023-03-21 and 1.1.1 dated 2025-11-02

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Package SeasEpi updated to version 0.0.3 with previous version 0.0.2 dated 2025-07-19

Title: Spatiotemporal Modeling of Seasonal Infectious Disease
Description: Spatiotemporal individual-level model of seasonal infectious disease transmission within the Susceptible-Exposed-Infectious-Recovered-Susceptible (SEIRS) framework are applied to model seasonal infectious disease transmission. This package employs a likelihood based Monte Carlo Expectation Conditional Maximization (MCECM) algorithm for estimating model parameters. In addition to model fitting and parameter estimation, the package offers functions for calculating AIC using real pandemic data and conducting simulation studies customized to user-specified model configurations.
Author: Amin Abed [aut, cre, cph] , Mahmoud Torabi [ths], Zeinab Mashreghi [ths]
Maintainer: Amin Abed <abeda@myumanitoba.ca>

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Package echoice2 updated to version 0.2.5 with previous version 0.2.4 dated 2023-11-20

Title: Choice Models with Economic Foundation
Description: Implements choice models based on economic theory, including estimation using Markov chain Monte Carlo (MCMC), prediction, and more. Its usability is inspired by ideas from 'tidyverse'. Models include versions of the Hierarchical Multinomial Logit and Multiple Discrete-Continous (Volumetric) models with and without screening. The foundations of these models are described in Allenby, Hardt and Rossi (2019) <doi:10.1016/bs.hem.2019.04.002>. Models with conjunctive screening are described in Kim, Hardt, Kim and Allenby (2022) <doi:10.1016/j.ijresmar.2022.04.001>. Models with set-size variation are described in Hardt and Kurz (2020) <doi:10.2139/ssrn.3418383>.
Author: Nino Hardt [aut, cre]
Maintainer: Nino Hardt <me@ninohardt.com>

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Package dsb updated to version 2.0.1 with previous version 2.0.0 dated 2025-04-02

Title: Normalize & Denoise Droplet Single Cell Protein Data (CITE-Seq)
Description: This lightweight R package provides a method for normalizing and denoising protein expression data from droplet based single cell experiments. Raw protein Unique Molecular Index (UMI) counts from sequencing DNA-conjugated antibody derived tags (ADT) in droplets (e.g. 'CITE-seq') have substantial measurement noise. Our experiments and computational modeling revealed two major components of this noise: 1) protein-specific noise originating from ambient, unbound antibody encapsulated in droplets that can be accurately inferred via the expected protein counts detected in empty droplets, and 2) droplet/cell-specific noise revealed via the shared variance component associated with isotype antibody controls and background protein counts in each cell. This package normalizes and removes both of these sources of noise from raw protein data derived from methods such as 'CITE-seq', 'REAP-seq', 'ASAP-seq', 'TEA-seq', 'proteogenomic' data from the Mission Bio platform, etc. See the vignette for tut [...truncated...]
Author: Matthew Mule [aut, cre] , Andrew Martins [aut] , John Tsang [pdr]
Maintainer: Matthew Mule <mattmule@gmail.com>

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Package cpfa updated to version 1.2-3 with previous version 1.2-2 dated 2025-10-18

Title: Classification with Parallel Factor Analysis
Description: Classification using Richard A. Harshman's Parallel Factor Analysis-1 (Parafac) model or Parallel Factor Analysis-2 (Parafac2) model fit to a three-way or four-way data array. See Harshman and Lundy (1994): <doi:10.1016/0167-9473(94)90132-5>. Uses component weights from one mode of a Parafac or Parafac2 model as features to tune parameters for one or more classification methods via a k-fold cross-validation procedure. Allows for constraints on different tensor modes. Supports penalized logistic regression, support vector machine, random forest, feed-forward neural network, regularized discriminant analysis, and gradient boosting machine. Supports binary and multiclass classification. Predicts class labels or class probabilities and calculates multiple classification performance measures. Implements parallel computing via the 'parallel' and 'doParallel' packages.
Author: Matthew A. Asisgress [aut, cre]
Maintainer: Matthew A. Asisgress <mattgress@protonmail.ch>

Diff between cpfa versions 1.2-2 dated 2025-10-18 and 1.2-3 dated 2025-11-02

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Package openesm updated to version 0.1.1 with previous version 0.1.0 dated 2025-10-29

Title: Access the Open Experience Sampling Method Database
Description: Provides programmatic access to the Open Experience Sampling Method ('openESM') database (<https://openesmdata.org>), a collection of harmonized experience sampling datasets. The package enables researchers to discover, download, and work with the datasets while ensuring proper citation and license compliance.
Author: Bjoern S. Siepe [aut, cre, cph] , Matthias Kloft [aut]
Maintainer: Bjoern S. Siepe <bjoernsiepe@gmail.com>

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Package knitrdata (with last version 0.6.1) was removed from CRAN

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

2020-12-08 0.6.1
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2020-10-23 0.5.2
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Package hypsoLoop (with last version 0.2.0) was removed from CRAN

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2022-02-08 0.2.0

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

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Package SortedEffects (with last version 1.7.0) was removed from CRAN

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2022-03-22 1.7.0
2021-09-07 1.6.0
2021-09-02 1.5.0
2021-05-06 1.4.0
2021-04-07 1.3.0
2020-04-01 1.2.0
2019-11-04 1.1.0
2019-04-24 1.0.0

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Package clockSim (with last version 0.1.2) was removed from CRAN

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2025-04-22 0.1.2
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Package FAMT (with last version 2.6) was removed from CRAN

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

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2022-06-17 0.1.0

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Package geneSLOPE (with last version 0.38.3) was removed from CRAN

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Package catregs (with last version 1.2.2) was removed from CRAN

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Package RTIGER (with last version 2.1.0) was removed from CRAN

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2023-03-29 2.1.0
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Package summclust (with last version 0.7.2) was removed from CRAN

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2023-08-10 0.7.2
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Package rlibkriging (with last version 0.9-2.3) was removed from CRAN

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2025-10-17 0.9-2.3
2025-08-27 0.9-2.2
2025-07-23 0.9-2.1
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Package torch updated to version 0.16.3 with previous version 0.16.2 dated 2025-10-31

Title: Tensors and Neural Networks with 'GPU' Acceleration
Description: Provides functionality to define and train neural networks similar to 'PyTorch' by Paszke et al (2019) <doi:10.48550/arXiv.1912.01703> but written entirely in R using the 'libtorch' library. Also supports low-level tensor operations and 'GPU' acceleration.
Author: Daniel Falbel [aut, cre, cph], Javier Luraschi [aut], Dmitriy Selivanov [ctb], Athos Damiani [ctb], Christophe Regouby [ctb], Krzysztof Joachimiak [ctb], Hamada S. Badr [ctb], Sebastian Fischer [ctb], Maximilian Pichler [ctb], RStudio [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>

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Package tinytable updated to version 0.15.1 with previous version 0.15.0 dated 2025-10-19

Title: Simple and Configurable Tables in 'HTML', 'LaTeX', 'Markdown', 'Word', 'PNG', 'PDF', and 'Typst' Formats
Description: Create highly customized tables with this simple and dependency-free package. Data frames can be converted to 'HTML', 'LaTeX', 'Markdown', 'Word', 'PNG', 'PDF', or 'Typst' tables. The user interface is minimalist and easy to learn. The syntax is concise. 'HTML' tables can be customized using the flexible 'Bootstrap' framework, and 'LaTeX' code with the 'tabularray' package.
Author: Vincent Arel-Bundock [aut, cre]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package SynthETIC updated to version 1.1.1 with previous version 1.1.0 dated 2024-01-27

Title: Synthetic Experience Tracking Insurance Claims
Description: Creation of an individual claims simulator which generates various features of non-life insurance claims. An initial set of test parameters, designed to mirror the experience of an Auto Liability portfolio, were set up and applied by default to generate a realistic test data set of individual claims (see vignette). The simulated data set then allows practitioners to back-test the validity of various reserving models and to prove and/or disprove certain actuarial assumptions made in claims modelling. The distributional assumptions used to generate this data set can be easily modified by users to match their experiences. Reference: Avanzi B, Taylor G, Wang M, Wong B (2020) "SynthETIC: an individual insurance claim simulator with feature control" <doi:10.48550/arXiv.2008.05693>.
Author: Benjamin Avanzi [aut], William Ho [aut], Greg Taylor [aut], Melantha Wang [aut, cre], Bernard Wong [aut]
Maintainer: Melantha Wang <wang.melantha@gmail.com>

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Package litedown updated to version 0.8 with previous version 0.7 dated 2025-04-08

Title: A Lightweight Version of R Markdown
Description: Render R Markdown to Markdown (without using 'knitr'), and Markdown to lightweight HTML or 'LaTeX' documents with the 'commonmark' package (instead of 'Pandoc'). Some missing Markdown features in 'commonmark' are also supported, such as raw HTML or 'LaTeX' blocks, 'LaTeX' math, superscripts, subscripts, footnotes, element attributes, and appendices, but not all 'Pandoc' Markdown features are (or will be) supported. With additional JavaScript and CSS, you can also create HTML slides and articles. This package can be viewed as a trimmed-down version of R Markdown and 'knitr'. It does not aim at rich Markdown features or a large variety of output formats (the primary formats are HTML and 'LaTeX'). Book and website projects of multiple input documents are also supported.
Author: Yihui Xie [aut, cre] , Tim Taylor [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package listenv updated to version 0.10.0 with previous version 0.9.1 dated 2024-01-29

Title: Environments Behaving (Almost) as Lists
Description: List environments are environments that have list-like properties. For instance, the elements of a list environment are ordered and can be accessed and iterated over using index subsetting, e.g. 'x <- listenv(a = 1, b = 2); for (i in seq_along(x)) x[[i]] <- x[[i]] ^ 2; y <- as.list(x)'.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package EGM updated to version 0.2.0 with previous version 0.1.1 dated 2025-10-14

Title: Intracardiac Electrograms
Description: A system for importing electrophysiological signal, based on the 'Waveform Database (WFDB)' software package, written by Moody et al 2022 <doi:10.13026/gjvw-1m31>. A R-based system to utilize 'WFDB' functions for reading and writing signal data, as well as functions for visualization and analysis are provided. A stable and broadly compatible class for working with signal data, supporting the reading in of cardiac electrophysiological files such as intracardiac electrograms, is introduced.
Author: Anish S. Shah [aut, cre, cph] , Darren Seaney [ctb]
Maintainer: Anish S. Shah <shah.in.boots@gmail.com>

Diff between EGM versions 0.1.1 dated 2025-10-14 and 0.2.0 dated 2025-11-02

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Package ChannelAttribution updated to version 2.2.2 with previous version 2.0.7 dated 2023-05-17

Title: Markov Model for Online Multi-Channel Attribution
Description: Advertisers use a variety of online marketing channels to reach consumers and they want to know the degree each channel contributes to their marketing success. This is called online multi-channel attribution problem. This package contains a probabilistic algorithm for the attribution problem. The model uses a k-order Markov representation to identify structural correlations in the customer journey data. The package also contains three heuristic algorithms (first-touch, last-touch and linear-touch approach) for the same problem. The algorithms are implemented in C++.
Author: Davide Altomare [cre, aut], David Loris [aut]
Maintainer: Davide Altomare <info@channelattribution.io>

Diff between ChannelAttribution versions 2.0.7 dated 2023-05-17 and 2.2.2 dated 2025-11-02

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Package asteRisk updated to version 1.4.5 with previous version 1.4.4 dated 2025-08-20

Title: Computation of Satellite Position
Description: Provides basic functionalities to calculate the position of satellites given a known state vector. The package includes implementations of the SGP4 and SDP4 simplified perturbation models to propagate orbital state vectors, as well as utilities to read TLE files and convert coordinates between different frames of reference. Several of the functionalities of the package (including the high-precision numerical orbit propagator) require the coefficients and data included in the 'asteRiskData' package, available in a 'drat' repository. To install this data package, run 'install.packages("asteRiskData", repos="https://rafael-ayala.github.io/drat/")'. Felix R. Hoots, Ronald L. Roehrich and T.S. Kelso (1988) <https://celestrak.org/NORAD/documentation/spacetrk.pdf>. David Vallado, Paul Crawford, Richard Hujsak and T.S. Kelso (2012) <doi:10.2514/6.2006-6753>. Felix R. Hoots, Paul W. Schumacher Jr. and Robert A. Glover (2014) <doi:10.2514/1.9161>.
Author: Rafael Ayala [aut, cre] , Daniel Ayala [aut] , David Ruiz [aut] , Pablo Hernandez [aut] , Lara Selles Vidal [aut]
Maintainer: Rafael Ayala <rafaelayalahernandez@gmail.com>

Diff between asteRisk versions 1.4.4 dated 2025-08-20 and 1.4.5 dated 2025-11-02

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Package admisc updated to version 0.39 with previous version 0.38 dated 2025-03-30

Title: Adrian Dusa's Miscellaneous
Description: Contains functions used across packages 'DDIwR', 'QCA' and 'venn'. Interprets and translates, factorizes and negates SOP - Sum of Products expressions, for both binary and multi-value crisp sets, and extracts information (set names, set values) from those expressions. Other functions perform various other checks if possibly numeric (even if all numbers reside in a character vector) and coerce to numeric, or check if the numbers are whole. It also offers, among many others, a highly versatile recoding routine and some more flexible alternatives to the base functions 'with()' and 'within()'. SOP simplification functions in this package use related minimization from package 'QCA', which is recommended to be installed despite not being listed in the Imports field, due to circular dependency issues.
Author: Adrian Dusa [aut, cre, cph]
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

Diff between admisc versions 0.38 dated 2025-03-30 and 0.39 dated 2025-11-02

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