Sun, 08 Sep 2024

Package BET updated to version 0.5.4 with previous version 0.5.3 dated 2023-12-20

Title: Binary Expansion Testing
Description: Nonparametric detection of nonuniformity and dependence with Binary Expansion Testing (BET). See Kai Zhang (2019) BET on Independence, Journal of the American Statistical Association, 114:528, 1620-1637, <DOI:10.1080/01621459.2018.1537921>, Kai Zhang, Wan Zhang, Zhigen Zhao, Wen Zhou. (2023). BEAUTY Powered BEAST, <doi:10.48550/arXiv.2103.00674> and Wan Zhang, Zhigen Zhao, Michael Baiocchi, Yao Li, Kai Zhang. (2023) SorBET: A Fast and Powerful Algorithm to Test Dependence of Variables, Techinical report.
Author: Wan Zhang [aut, cre], Zhigen Zhao [aut], Michael Baiocchi [aut], Kai Zhang [aut]
Maintainer: Wan Zhang <wanz63@live.unc.edu>

Diff between BET versions 0.5.3 dated 2023-12-20 and 0.5.4 dated 2024-09-08

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Package geessbin updated to version 1.0.0 with previous version 0.1.2 dated 2023-07-08

Title: Modified Generalized Estimating Equations for Binary Outcome
Description: Analyze small-sample clustered or longitudinal data with binary outcome using modified generalized estimating equations (GEE) with bias-adjusted covariance estimator. The package provides any combination of three GEE methods and 12 covariance estimators.
Author: Ryota Ishii [aut, cre], Tomohiro Ohigashi [ctb], Kazushi Maruo [ctb], Masahiko Gosho [ctb]
Maintainer: Ryota Ishii <r.ishii0808@gmail.com>

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Package trajmsm updated to version 0.1.1 with previous version 0.1.0 dated 2024-02-14

Title: Marginal Structural Models with Latent Class Growth Analysis of Treatment Trajectories
Description: Implements marginal structural models combined with a latent class growth analysis framework for assessing the causal effect of treatment trajectories. Based on the approach described in "Marginal Structural Models with Latent Class Growth Analysis of Treatment Trajectories" Diop, A., Sirois, C., Guertin, J.R., Schnitzer, M.E., Candas, B., Cossette, B., Poirier, P., Brophy, J., Mésidor, M., Blais, C. and Hamel, D., (2023) <doi:10.1177/09622802231202384>.
Author: Awa Diop [aut, cre], Denis Talbot [aut]
Maintainer: Awa Diop <awa.diop.2@ulaval.ca>

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Package litedown updated to version 0.2 with previous version 0.1 dated 2024-08-20

Title: A Lightweight Version of R Markdown
Description: Render R Markdown to Markdown (without using 'knitr'), and Markdown to lightweight HTML/LaTeX documents with the 'commonmark' package (instead of 'Pandoc'). Some missing Markdown features in 'commonmark' are also supported, such as raw HTML/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]
Maintainer: Yihui Xie <xie@yihui.name>

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Package labelr updated to version 0.1.9 with previous version 0.1.8 dated 2024-08-27

Title: Label Data Frames, Variables, and Values
Description: Create and use data frame labels for data frame objects (frame labels), their columns (name labels), and individual values of a column (value labels). Value labels include one-to-one and many-to-one labels for nominal and ordinal variables, as well as numerical range-based value labels for continuous variables. Convert value-labeled variables so each value is replaced by its corresponding value label. Add values-converted-to-labels columns to a value-labeled data frame while preserving parent columns. Filter and subset a value-labeled data frame using labels, while returning results in terms of values. Overlay labels in place of values in common R commands to increase interpretability. Generate tables of value frequencies, with categories expressed as raw values or as labels. Access data frames that show value-to-label mappings for easy reference.
Author: Robert Hartman [aut, cre], The MITRE Corporation [cph]
Maintainer: Robert Hartman <rohartman@gmail.com>

Diff between labelr versions 0.1.8 dated 2024-08-27 and 0.1.9 dated 2024-09-08

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Package fNonlinear updated to version 4041.82 with previous version 4021.81 dated 2022-10-26

Title: Rmetrics - Nonlinear and Chaotic Time Series Modelling
Description: Provides a collection of functions for testing various aspects of univariate time series including independence and neglected nonlinearities. Further provides functions to investigate the chaotic behavior of time series processes and to simulate different types of chaotic time series maps.
Author: Diethelm Wuertz [aut], Tobias Setz [aut], Yohan Chalabi [aut], Paul Smith [cre]
Maintainer: Paul Smith <paul@waternumbers.co.uk>

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Package easybio updated to version 1.0.1 with previous version 1.0 dated 2024-09-05

Title: Comprehensive Single-Cell Annotation and Transcriptomic Analysis Toolkit
Description: Provides a comprehensive toolkit for single-cell annotation with the 'CellMarker2.0' database <http://bio-bigdata.hrbmu.edu.cn/CellMarker/>. Streamlines biological label assignment in single-cell RNA-seq data and facilitates transcriptomic analysis, including preparation of TCGA<https://portal.gdc.cancer.gov/> and GEO<https://www.ncbi.nlm.nih.gov/geo/> datasets, differential expression analysis and visualization of enrichment analysis results. Additional utility functions support various bioinformatics workflows.
Author: Wei Cui [aut, cre, cph]
Maintainer: Wei Cui <m2c.w@outlook.com>

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Package declared updated to version 0.25 with previous version 0.24 dated 2023-12-07

Title: Functions for Declared Missing Values
Description: A zero dependency package containing functions to declare labels and missing values, coupled with associated functions to create (weighted) tables of frequencies and various other summary measures. Some of the base functions have been rewritten to make use of the specific information about the missing values, most importantly to distinguish between empty NA and declared NA values. Some functions have similar functionality with the corresponding ones from packages "haven" and "labelled". The aim is to ensure as much compatibility as possible with these packages, while offering an alternative in the objects of class "declared".
Author: Adrian Dusa [aut, cre, cph] , Daniel Antal [ctb]
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

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Package starvz updated to version 0.8.2 with previous version 0.8.0 dated 2024-02-23

Title: R-Based Visualization Techniques for Task-Based Applications
Description: Performance analysis workflow that combines the power of the R language (and the tidyverse realm) and many auxiliary tools to provide a consistent, flexible, extensible, fast, and versatile framework for the performance analysis of task-based applications that run on top of the StarPU runtime (with its MPI (Message Passing Interface) layer for multi-node support). Its goal is to provide a fruitful prototypical environment to conduct performance analysis hypothesis-checking for task-based applications that run on heterogeneous (multi-GPU, multi-core) multi-node HPC (High-performance computing) platforms.
Author: Lucas Mello Schnorr [aut, ths] , Vinicius Garcia Pinto [aut] , Lucas Leandro Nesi [aut, cre] , Marcelo Cogo Miletto [aut] , Guilherme Alles [ctb], Arnaud Legrand [ctb], Luka Stanisic [ctb], Remy Drouilhet [ctb]
Maintainer: Lucas Leandro Nesi <lucas.nesi@inf.ufrgs.br>

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Package FKF updated to version 0.2.6 with previous version 0.2.5 dated 2024-01-30

Title: Fast Kalman Filter
Description: This is a fast and flexible implementation of the Kalman filter and smoother, which can deal with NAs. It is entirely written in C and relies fully on linear algebra subroutines contained in BLAS and LAPACK. Due to the speed of the filter, the fitting of high-dimensional linear state space models to large datasets becomes possible. This package also contains a plot function for the visualization of the state vector and graphical diagnostics of the residuals.
Author: David Luethi [aut], Philipp Erb [aut], Simon Otziger [aut], Daniel McDonald [aut], Paul Smith [aut, cre]
Maintainer: Paul Smith <paul@waternumbers.co.uk>

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Package statsExpressions updated to version 1.6.0 with previous version 1.5.5 dated 2024-07-05

Title: Tidy Dataframes and Expressions with Statistical Details
Description: Utilities for producing dataframes with rich details for the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian t-test, one-way ANOVA, correlation analyses, contingency table analyses, and meta-analyses. The functions are pipe-friendly and provide a consistent syntax to work with tidy data. These dataframes additionally contain expressions with statistical details, and can be used in graphing packages. This package also forms the statistical processing backend for 'ggstatsplot'. References: Patil (2021) <doi:10.21105/joss.03236>.
Author: Indrajeet Patil [cre, aut, cph]
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Package npboottprmFBar updated to version 0.2.0 with previous version 0.1.1 dated 2024-02-22

Title: Informative Nonparametric Bootstrap Test with Pooled Resampling
Description: Sample sizes are often small due to hard to reach target populations, rare target events, time constraints, limited budgets, or ethical considerations. Two statistical methods with promising performance in small samples are the nonparametric bootstrap test with pooled resampling method, which is the focus of Dwivedi, Mallawaarachchi, and Alvarado (2017) <doi:10.1002/sim.7263>, and informative hypothesis testing, which is implemented in the 'restriktor' package. The 'npboottprmFBar' package uses the nonparametric bootstrap test with pooled resampling method to implement informative hypothesis testing. The bootFbar() function can be used to analyze data with this method and the persimon() function can be used to conduct performance simulations on type-one error and statistical power.
Author: Mackson Ncube [aut, cre], mightymetrika, LLC [cph, fnd]
Maintainer: Mackson Ncube <macksonncube.stats@gmail.com>

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Package LRTesteR updated to version 1.2.1 with previous version 1.2.0 dated 2024-08-21

Title: Likelihood Ratio Tests and Confidence Intervals
Description: A collection of hypothesis tests and confidence intervals based on the likelihood ratio <https://en.wikipedia.org/wiki/Likelihood-ratio_test>.
Author: Greg McMahan [aut, cre]
Maintainer: Greg McMahan <gmcmacran@gmail.com>

Diff between LRTesteR versions 1.2.0 dated 2024-08-21 and 1.2.1 dated 2024-09-08

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Package sdsfun updated to version 0.1.1 with previous version 0.1.0 dated 2024-08-30

Title: Spatial Data Science Complementary Features
Description: Wrapping and supplementing commonly used functions in the R ecosystem related to spatial data science, while serving as a basis for other packages maintained by Wenbo Lv.
Author: Wenbo Lv [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>

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Package geosimilarity updated to version 3.2 with previous version 3.1 dated 2024-08-29

Title: Geographically Optimal Similarity
Description: Understanding spatial association is essential for spatial statistical inference, including factor exploration and spatial prediction. Geographically optimal similarity (GOS) model is an effective method for spatial prediction, as described in Yongze Song (2022) <doi:10.1007/s11004-022-10036-8>. GOS was developed based on the geographical similarity principle, as described in Axing Zhu (2018) <doi:10.1080/19475683.2018.1534890>. GOS has advantages in more accurate spatial prediction using fewer samples and critically reduced prediction uncertainty.
Author: Yongze Song [aut, cph] , Wenbo Lv [aut, cre]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>

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Package datefixR updated to version 1.7.0 with previous version 1.6.1 dated 2023-12-11

Title: Standardize Dates in Different Formats or with Missing Data
Description: There are many different formats dates are commonly represented with: the order of day, month, or year can differ, different separators ("-", "/", or whitespace) can be used, months can be numerical, names, or abbreviations and year given as two digits or four. 'datefixR' takes dates in all these different formats and converts them to R's built-in date class. If 'datefixR' cannot standardize a date, such as because it is too malformed, then the user is told which date cannot be standardized and the corresponding ID for the row. 'datefixR' also allows the imputation of missing days and months with user-controlled behavior.
Author: Nathan Constantine-Cooke [aut, cre] , Jonathan Kitt [ctb, trl], Antonio J. Perez-Luque [ctb, trl] , Daniel Possenriede [ctb, trl] , Michal Lauer [ctb, trl], Kaique dos S. Alves [rev] , Al-Ahmadgaid B. Asaad [rev] , Anatoly Tsyplenkov [ctb, trl] , Chi [...truncated...]
Maintainer: Nathan Constantine-Cooke <nathan.constantine-cooke@ed.ac.uk>

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Package PMCMRplus updated to version 1.9.12 with previous version 1.9.10 dated 2023-12-10

Title: Calculate Pairwise Multiple Comparisons of Mean Rank Sums Extended
Description: For one-way layout experiments the one-way ANOVA can be performed as an omnibus test. All-pairs multiple comparisons tests (Tukey-Kramer test, Scheffe test, LSD-test) and many-to-one tests (Dunnett test) for normally distributed residuals and equal within variance are available. Furthermore, all-pairs tests (Games-Howell test, Tamhane's T2 test, Dunnett T3 test, Ury-Wiggins-Hochberg test) and many-to-one (Tamhane-Dunnett Test) for normally distributed residuals and heterogeneous variances are provided. Van der Waerden's normal scores test for omnibus, all-pairs and many-to-one tests is provided for non-normally distributed residuals and homogeneous variances. The Kruskal-Wallis, BWS and Anderson-Darling omnibus test and all-pairs tests (Nemenyi test, Dunn test, Conover test, Dwass-Steele-Critchlow- Fligner test) as well as many-to-one (Nemenyi test, Dunn test, U-test) are given for the analysis of variance by ranks. Non-parametric trend tests (Jonckheere test, Cuzick test, Johnson-Mehr [...truncated...]
Author: Thorsten Pohlert [aut, cre]
Maintainer: Thorsten Pohlert <thorsten.pohlert@gmx.de>

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Package spTimer updated to version 3.3.3 with previous version 3.3.2 dated 2022-10-26

Title: Spatio-Temporal Bayesian Modelling
Description: Fits, spatially predicts and temporally forecasts large amounts of space-time data using [1] Bayesian Gaussian Process (GP) Models, [2] Bayesian Auto-Regressive (AR) Models, and [3] Bayesian Gaussian Predictive Processes (GPP) based AR Models for spatio-temporal big-n problems. Bakar and Sahu (2015) <doi:10.18637/jss.v063.i15>.
Author: K. Shuvo Bakar [aut, cre] , Sujit K. Sahu [ctb]
Maintainer: K. Shuvo Bakar <shuvo.bakar@gmail.com>

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Package sna updated to version 2.8 with previous version 2.7-2 dated 2023-12-06

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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Package matrixStats updated to version 1.4.1 with previous version 1.4.0 dated 2024-09-04

Title: Functions that Apply to Rows and Columns of Matrices (and to Vectors)
Description: High-performing functions operating on rows and columns of matrices, e.g. col / rowMedians(), col / rowRanks(), and col / rowSds(). Functions optimized per data type and for subsetted calculations such that both memory usage and processing time is minimized. There are also optimized vector-based methods, e.g. binMeans(), madDiff() and weightedMedian().
Author: Henrik Bengtsson [aut, cre, cph], Constantin Ahlmann-Eltze [ctb], Hector Corrada Bravo [ctb], Robert Gentleman [ctb], Jan Gleixner [ctb], Peter Hickey [ctb], Ola Hossjer [ctb], Harris Jaffee [ctb], Dongcan Jiang [ctb], Peter Langfelder [ctb], Brian M [...truncated...]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package pubmed.mineR updated to version 1.0.21 with previous version 1.0.20 dated 2024-04-08

Title: Text Mining of PubMed Abstracts
Description: Text mining of PubMed Abstracts (text and XML) from <https://pubmed.ncbi.nlm.nih.gov/>.
Author: Jyoti Rani [aut], S.Ramachandran [aut], Ab Rauf Shah [aut], S. Ramachandran [cre]
Maintainer: S. Ramachandran <ramuigib@gmail.com>

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Package pedtools updated to version 2.7.1 with previous version 2.7.0 dated 2024-06-28

Title: Creating and Working with Pedigrees and Marker Data
Description: A comprehensive collection of tools for creating, manipulating and visualising pedigrees and genetic marker data. Pedigrees can be read from text files or created on the fly with built-in functions. A range of utilities enable modifications like adding or removing individuals, breaking loops, and merging pedigrees. An online tool for creating pedigrees interactively, based on 'pedtools', is available at <https://magnusdv.shinyapps.io/quickped>. 'pedtools' is the hub of the 'pedsuite', a collection of packages for pedigree analysis. A detailed presentation of the 'pedsuite' is given in the book 'Pedigree Analysis in R' (Vigeland, 2021, ISBN:9780128244302).
Author: Magnus Dehli Vigeland [aut, cre]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

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Package openxlsx2 updated to version 1.9 with previous version 1.8 dated 2024-07-07

Title: Read, Write and Edit 'xlsx' Files
Description: Simplifies the creation of 'xlsx' files by providing a high level interface to writing, styling and editing worksheets.
Author: Jordan Mark Barbone [aut] , Jan Marvin Garbuszus [aut, cre], Olivier Roy [ctb], openxlsx authors [cph] , Arseny Kapoulkine [ctb, cph]
Maintainer: Jan Marvin Garbuszus <jan.garbuszus@ruhr-uni-bochum.de>

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Package msm updated to version 1.8 with previous version 1.7.1 dated 2023-11-23

Title: Multi-State Markov and Hidden Markov Models in Continuous Time
Description: Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal data. Designed for processes observed at arbitrary times in continuous time (panel data) but some other observation schemes are supported. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates, which may be constant or piecewise-constant in time.
Author: Christopher Jackson [aut, cre]
Maintainer: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>

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Package L1pack updated to version 0.50 with previous version 0.41-245 dated 2024-04-23

Title: Routines for L1 Estimation
Description: L1 estimation for linear regression using Barrodale and Roberts' method <doi:10.1145/355616.361024> and the EM algorithm <doi:10.1023/A:1020759012226>. Estimation of mean and covariance matrix using the multivariate Laplace distribution, density, distribution function, quantile function and random number generation for univariate and multivariate Laplace distribution <doi:10.1080/03610929808832115>. Implementation of Naik and Plungpongpun <doi:10.1007/0-8176-4487-3_7> for the Generalized spatial median estimator is included.
Author: Felipe Osorio [aut, cre] , Tymoteusz Wolodzko [aut]
Maintainer: Felipe Osorio <felipe.osorios@usm.cl>

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More information about L1pack at CRAN
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Package IsoriX updated to version 0.9.3 with previous version 0.9.2 dated 2023-11-14

Title: Isoscape Computation and Inference of Spatial Origins using Mixed Models
Description: Building isoscapes using mixed models and inferring the geographic origin of samples based on their isotopic ratios. This package is essentially a simplified interface to several other packages which implements a new statistical framework based on mixed models. It uses 'spaMM' for fitting and predicting isoscapes, and assigning an organism's origin depending on its isotopic ratio. 'IsoriX' also relies heavily on the package 'rasterVis' for plotting the maps produced with 'terra' using 'lattice'.
Author: Alexandre Courtiol [aut, cre] , Francois Rousset [aut] , Marie-Sophie Rohwaeder [aut], Stephanie Kramer-Schadt [aut]
Maintainer: Alexandre Courtiol <alexandre.courtiol@gmail.com>

Diff between IsoriX versions 0.9.2 dated 2023-11-14 and 0.9.3 dated 2024-09-08

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 R/IsoriX-package.R               |   47 ++---
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Package ibdsim2 updated to version 2.1.1 with previous version 2.1.0 dated 2024-08-16

Title: Simulation of Chromosomal Regions Shared by Family Members
Description: Simulation of segments shared identical-by-descent (IBD) by pedigree members. Using sex specific recombination rates along the human genome (Halldorsson et al. (2019) <doi:10.1126/science.aau1043>), phased chromosomes are simulated for all pedigree members. Applications include calculation of realised relatedness coefficients and IBD segment distributions. 'ibdsim2' is part of the 'pedsuite' collection of packages for pedigree analysis. A detailed presentation of the 'ped suite', including a separate chapter on 'ibdsim2', is available in the book 'Pedigree analysis in R' (Vigeland, 2021, ISBN:9780128244302). A 'Shiny' app for visualising and comparing IBD distributions is available at <https://magnusdv.shinyapps.io/ibdsim2-shiny/>.
Author: Magnus Dehli Vigeland [aut, cre]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

Diff between ibdsim2 versions 2.1.0 dated 2024-08-16 and 2.1.1 dated 2024-09-08

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 README.md                     |    2 -
 inst/shiny/R/builtin-peds.R   |   39 +++++++++++++++++++++-------------
 inst/shiny/R/plot-functions.R |    7 +++---
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 8 files changed, 95 insertions(+), 59 deletions(-)

More information about ibdsim2 at CRAN
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Package NaileR (with last version 1.1.0) was removed from CRAN

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

2024-08-01 1.1.0

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Package Rsagacmd updated to version 0.4.3 with previous version 0.4.2 dated 2023-10-16

Title: Linking R with the Open-Source 'SAGA-GIS' Software
Description: Provides an R scripting interface to the open-source 'SAGA-GIS' (System for Automated Geoscientific Analyses Geographical Information System) software. 'Rsagacmd' dynamically generates R functions for every 'SAGA-GIS' geoprocessing tool based on the user's currently installed 'SAGA-GIS' version. These functions are contained within an S3 object and are accessed as a named list of libraries and tools. This structure facilitates an easier scripting experience by organizing the large number of 'SAGA-GIS' geoprocessing tools (>700) by their respective library. Interactive scripting can fully take advantage of code autocompletion tools (e.g. in 'RStudio'), allowing for each tools syntax to be quickly recognized. Furthermore, the most common types of spatial data (via the 'terra', 'sp', and 'sf' packages) along with non-spatial data are automatically passed from R to the 'SAGA-GIS' command line tool for geoprocessing operations, and the results are loaded as the appropriate R object. Outp [...truncated...]
Author: Steven Pawley [aut, cre]
Maintainer: Steven Pawley <dr.stevenpawley@gmail.com>

Diff between Rsagacmd versions 0.4.2 dated 2023-10-16 and 0.4.3 dated 2024-09-08

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More information about Rsagacmd at CRAN
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Package EMCluster updated to version 0.2-16 with previous version 0.2-15 dated 2023-09-05

Title: EM Algorithm for Model-Based Clustering of Finite Mixture Gaussian Distribution
Description: EM algorithms and several efficient initialization methods for model-based clustering of finite mixture Gaussian distribution with unstructured dispersion in both of unsupervised and semi-supervised learning.
Author: Wei-Chen Chen [aut, cre], Ranjan Maitra [aut], Volodymyr Melnykov [ctb], Dan Nettleton [ctb], David Faden [ctb], Rouben Rostamian [ctb], R Core team [ctb]
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

Diff between EMCluster versions 0.2-15 dated 2023-09-05 and 0.2-16 dated 2024-09-08

 ChangeLog           |    3 +++
 DESCRIPTION         |    8 ++++----
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 src/M_emgroup.c     |    2 +-
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 16 files changed, 36 insertions(+), 33 deletions(-)

More information about EMCluster at CRAN
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