Sat, 07 Dec 2024

Package qtkit updated to version 1.1.0 with previous version 1.0.0 dated 2024-08-17

Title: Quantitative Text Kit
Description: Support package for the textbook "An Introduction to Quantitative Text Analysis for Linguists: Reproducible Research Using R" (Francom, 2024) <doi:10.4324/9781003393764>. Includes functions to acquire, clean, and analyze text data as well as functions to document and share the results of text analysis. The package is designed to be used in conjunction with the book, but can also be used as a standalone package for text analysis.
Author: Jerid Francom [aut, cre, cph]
Maintainer: Jerid Francom <francojc@wfu.edu>

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Package dverse updated to version 0.2.0 with previous version 0.1.0 dated 2024-11-22

Title: Document a Universe of Packages
Description: Creates a data frame containing the metadata associated with the documentation of a collection of R packages. It allows for linking topic names to their corresponding documentation online. If you maintain a universe meta-package, it helps create a comprehensive reference for its website.
Author: Mauro Lepore [aut, cre, cph]
Maintainer: Mauro Lepore <maurolepore@gmail.com>

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Package startup updated to version 0.23.0 with previous version 0.22.0 dated 2024-07-29

Title: Friendly R Startup Configuration
Description: Adds support for R startup configuration via '.Renviron.d' and '.Rprofile.d' directories in addition to '.Renviron' and '.Rprofile' files. This makes it possible to keep private / secret environment variables separate from other environment variables. It also makes it easier to share specific startup settings by simply copying a file to a directory.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package GDILM.SEIRS updated to version 0.0.2 with previous version 0.0.1 dated 2024-12-05

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>

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Package dawaR updated to version 0.2.7 with previous version 0.2.6 dated 2024-11-24

Title: An API Wrapper for 'DAWA' - 'The Danish Address Web API'
Description: Functions for interacting with all sections of the official 'Danish Address Web API' (also known as 'DAWA') <https://api.dataforsyningen.dk>. The development of this package is completely independent from the government agency, Klimadatastyrelsen, who maintains the API.
Author: Aleksander Bang-Larsen [aut, cre, cph] , Agency of Climate Data [ctb]
Maintainer: Aleksander Bang-Larsen <contact@aleksanderbl.dk>

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Package SVEMnet updated to version 1.2.1 with previous version 1.1.1 dated 2024-11-29

Title: Self-Validated Ensemble Models with Elastic Net Regression
Description: Implements Self-Validated Ensemble Models (SVEM, Lemkus et al. (2021) <doi:10.1016/j.chemolab.2021.104439>) using Elastic Net regression via 'glmnet' (Friedman et al. <doi:10.18637/jss.v033.i01>). SVEM averages predictions from multiple models fitted to fractionally weighted bootstraps of the data, tuned with anti-correlated validation weights. Also implements the randomized permutation whole model test for SVEM (Karl (2024) <doi:10.1016/j.chemolab.2024.105122>). \\Code for the whole model test was taken from the supplementary material of Karl (2024). Development of this package was assisted by 'GPT o1-preview' for code structure and documentation.
Author: Andrew T. Karl [cre, aut]
Maintainer: Andrew T. Karl <akarl@asu.edu>

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Package CCd updated to version 1.1 with previous version 1.0 dated 2024-09-26

Title: The Cauchy-Cacoullos (Discrete Cauchy) Distribution
Description: Maximum likelihood estimation of the Cauchy-Cacoullos (discrete Cauchy) distribution. Probability mass, distribution and quantile function are also included. The reference paper is: Papadatos N. (2022). "The Characteristic Function of the Discrete Cauchy Distribution in Memory of T. Cacoullos". Journal of Statistical Theory Practice, 16(3): 47. <doi:10.1007/s42519-022-00268-6>.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between CCd versions 1.0 dated 2024-09-26 and 1.1 dated 2024-12-07

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Package mark updated to version 0.8.2 with previous version 0.8.1 dated 2024-09-29

Title: Miscellaneous, Analytic R Kernels
Description: Miscellaneous functions and wrappers for development in other packages created, maintained by Jordan Mark Barbone.
Author: Jordan Mark Barbone [aut, cph, cre]
Maintainer: Jordan Mark Barbone <jmbarbone@gmail.com>

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Package gWidgets2 updated to version 1.0-10 with previous version 1.0-9 dated 2022-01-10

Title: Rewrite of gWidgets API for Simplified GUI Construction
Description: Re-implementation of the 'gWidgets' API. The API is defined in this package. A second, toolkit-specific package is required to use it. At this point only 'gWidgets2tcltk' is viable.
Author: John Verzani [aut, cre]
Maintainer: John Verzani <jverzani@gmail.com>

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Package landscapeR updated to version 1.3.1 with previous version 1.3 dated 2024-11-01

Title: Categorical Landscape Simulation Facility
Description: Simulates categorical maps on actual geographical realms, starting from either empty landscapes or landscapes provided by the user (e.g. land use maps). Allows to tweak or create landscapes while retaining a high degree of control on its features, without the hassle of specifying each location attribute. In this it differs from other tools which generate null or neutral landscapes in a theoretical space. The basic algorithm currently implemented uses a simple agent style/cellular automata growth model, with no rules (apart from areas of exclusion) and von Neumann neighbourhood (four cells, aka Rook case). Outputs are raster dataset exportable to any common GIS format.
Author: Dario Masante [aut, cre], Lora Murphy [ctb]
Maintainer: Dario Masante <dario.masante@gmail.com>

Diff between landscapeR versions 1.3 dated 2024-11-01 and 1.3.1 dated 2024-12-07

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Package tutorial.helpers updated to version 0.3.1 with previous version 0.3.0 dated 2024-06-26

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

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Package igraph updated to version 2.1.2 with previous version 2.1.1 dated 2024-10-19

Title: Network Analysis and Visualization
Description: Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.
Author: Gabor Csardi [aut] , Tamas Nepusz [aut] , Vincent Traag [aut] , Szabolcs Horvat [aut] , Fabio Zanini [aut] , Daniel Noom [aut], Kirill Mueller [aut, cre] , Maelle Salmon [ctb], Michael Antonov [ctb], Chan Zuckerberg Initiative [fnd]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Package pRecipe updated to version 3.0.2 with previous version 3.0.1-3 dated 2024-01-31

Title: Precipitation R Recipes
Description: An open-access tool/framework to download, validate, visualize, and analyze multi-source precipitation data. More information and an example of implementation can be found in Vargas Godoy and Markonis (2023, <doi:10.1016/j.envsoft.2023.105711>).
Author: Mijael Rodrigo Vargas Godoy [aut, cre] , Yannis Markonis [aut, ths]
Maintainer: Mijael Rodrigo Vargas Godoy <mirovago@gmail.com>

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Package DBItest updated to version 1.8.2 with previous version 1.8.1 dated 2024-03-31

Title: Testing DBI Backends
Description: A helper that tests DBI back ends for conformity to the interface.
Author: Kirill Mueller [aut, cre] , RStudio [cph], R Consortium [fnd]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Package JuliaCall updated to version 0.17.6 with previous version 0.17.5 dated 2022-09-08

Title: Seamless Integration Between R and 'Julia'
Description: Provides an R interface to 'Julia', which is a high-level, high-performance dynamic programming language for numerical computing, see <https://julialang.org/> for more information. It provides a high-level interface as well as a low-level interface. Using the high level interface, you could call any 'Julia' function just like any R function with automatic type conversion. Using the low level interface, you could deal with C-level SEXP directly while enjoying the convenience of using a high-level programming language like 'Julia'.
Author: Changcheng Li [aut, cre], Christopher Rackauckas [ctb], Randy Lai [ctb], Dmitri Grominski [ctb], Nagi Teramo [ctb]
Maintainer: Changcheng Li <cxl508@psu.edu>

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Package sstvars updated to version 1.1.1 with previous version 1.1.0 dated 2024-11-29

Title: Toolkit for Reduced Form and Structural Smooth Transition Vector Autoregressive Models
Description: Maximum likelihood estimation of smooth transition vector autoregressive models with various types of transition weight functions, conditional distributions, and identification methods. Constrained estimation with various types of constraints is available. Residual based model diagnostics, forecasting, simulations, and calculation of impulse response functions, generalized impulse response functions, and generalized forecast error variance decompositions. See Heather Anderson, Farshid Vahid (1998) <doi:10.1016/S0304-4076(97)00076-6>, Helmut Lütkepohl, Aleksei Netšunajev (2017) <doi:10.1016/j.jedc.2017.09.001>, Markku Lanne, Savi Virolainen (2024) <doi:10.48550/arXiv.2403.14216>, Savi Virolainen (2024) <doi:10.48550/arXiv.2404.19707>.
Author: Savi Virolainen [aut, cre]
Maintainer: Savi Virolainen <savi.virolainen@helsinki.fi>

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Package LSTbook updated to version 0.6 with previous version 0.5.0 dated 2024-02-23

Title: Data and Software for "Lessons in Statistical Thinking"
Description: "Lessons in Statistical Thinking" D.T. Kaplan (2014) <https://dtkaplan.github.io/Lessons-in-statistical-thinking/> is a textbook for a first or second course in statistics that embraces data wrangling, causal reasoning, modeling, statistical adjustment, and simulation. 'LSTbook' supports the student-centered, tidy, pipeline-oriented computing style featured in the book.
Author: Daniel Kaplan [aut, cre], Randall Pruim [aut]
Maintainer: Daniel Kaplan <dtkaplan@gmail.com>

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Package speakr updated to version 3.2.4 with previous version 3.2.2 dated 2024-01-29

Title: A Wrapper for the Phonetic Software 'Praat'
Description: It allows running 'Praat' scripts from R and it provides some wrappers for basic plotting. It also adds support for literate markdown tangling. The package is designed to bring reproducible phonetic research into R.
Author: Stefano Coretta [aut, cre]
Maintainer: Stefano Coretta <stefano.coretta@gmail.com>

Diff between speakr versions 3.2.2 dated 2024-01-29 and 3.2.4 dated 2024-12-07

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Package tidygam updated to version 0.2.2 with previous version 0.2.0 dated 2023-05-09

Title: Tidy Prediction and Plotting of Generalised Additive Models
Description: Provides functions that compute predictions from Generalised Additive Models (GAMs) fitted with 'mgcv' and return them as a tibble. These can be plotted with a generic plot()-method that uses 'ggplot2' or plotted as any other data frame. The main function is predict_gam().
Author: Stefano Coretta [aut, cre]
Maintainer: Stefano Coretta <stefano.coretta@gmail.com>

Diff between tidygam versions 0.2.0 dated 2023-05-09 and 0.2.2 dated 2024-12-07

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Package missRanger updated to version 2.6.1 with previous version 2.6.0 dated 2024-08-17

Title: Fast Imputation of Missing Values
Description: Alternative implementation of the beautiful 'MissForest' algorithm used to impute mixed-type data sets by chaining random forests, introduced by Stekhoven, D.J. and Buehlmann, P. (2012) <doi:10.1093/bioinformatics/btr597>. Under the hood, it uses the lightning fast random forest package 'ranger'. Between the iterative model fitting, we offer the option of using predictive mean matching. This firstly avoids imputation with values not already present in the original data (like a value 0.3334 in 0-1 coded variable). Secondly, predictive mean matching tries to raise the variance in the resulting conditional distributions to a realistic level. This would allow, e.g., to do multiple imputation when repeating the call to missRanger(). Out-of-sample application is supported as well.
Author: Michael Mayer [aut, cre]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

Diff between missRanger versions 2.6.0 dated 2024-08-17 and 2.6.1 dated 2024-12-07

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Package cubar updated to version 1.1.0 with previous version 1.0.0 dated 2024-08-01

Title: Codon Usage Bias Analysis
Description: A suite of functions for rapid and flexible analysis of codon usage bias. It provides in-depth analysis at the codon level, including relative synonymous codon usage (RSCU), tRNA weight calculations, machine learning predictions for optimal or preferred codons, and visualization of codon-anticodon pairing. Additionally, it can calculate various gene- specific codon indices such as codon adaptation index (CAI), effective number of codons (ENC), fraction of optimal codons (Fop), tRNA adaptation index (tAI), mean codon stabilization coefficients (CSCg), and GC contents (GC/GC3s/GC4d). It also supports both standard and non-standard genetic code tables found in NCBI, as well as custom genetic code tables.
Author: Hong Zhang [aut, cre] , Mengyue Liu [aut], Bu Zi [aut]
Maintainer: Hong Zhang <mt1022.dev@gmail.com>

Diff between cubar versions 1.0.0 dated 2024-08-01 and 1.1.0 dated 2024-12-07

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More information about cubar at CRAN
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Package plotthis updated to version 0.4.0 with previous version 0.3.6 dated 2024-11-07

Title: High-Level Plotting Built Upon 'ggplot2' and Other Plotting Packages
Description: Provides high-level API and a wide range of options to create stunning, publication-quality plots effortlessly. It is built upon 'ggplot2' and other plotting packages, and is designed to be easy to use and to work seamlessly with 'ggplot2' objects. It is particularly useful for creating complex plots with multiple layers, facets, and annotations. It also provides a set of functions to create plots for specific types of data, such as Venn diagrams, alluvial diagrams, and phylogenetic trees. The package is designed to be flexible and customizable, and to work well with the 'ggplot2' ecosystem. The API can be found at <https://pwwang.github.io/plotthis/reference/index.html>.
Author: Panwen Wang [aut, cre]
Maintainer: Panwen Wang <pwwang@pwwang.com>

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More information about plotthis at CRAN
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