Mon, 22 Apr 2024

Package VisualizeSimon2Stage updated to version 0.1.4 with previous version 0.1.3 dated 2024-03-20

Title: Visualize Simon's Two-Stage Design
Description: To visualize the probabilities of early termination, fail and success of Simon's two-stage design. To evaluate and visualize the operating characteristics of Simon's two-stage design.
Author: Tingting Zhan [aut, cre, cph]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

Diff between VisualizeSimon2Stage versions 0.1.3 dated 2024-03-20 and 0.1.4 dated 2024-04-22

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More information about VisualizeSimon2Stage at CRAN
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Package soilDB updated to version 2.8.2 with previous version 2.8.1 dated 2024-01-09

Title: Soil Database Interface
Description: A collection of functions for reading soil data from U.S. Department of Agriculture Natural Resources Conservation Service (USDA-NRCS) and National Cooperative Soil Survey (NCSS) databases.
Author: Dylan Beaudette [aut], Jay Skovlin [aut], Stephen Roecker [aut], Andrew Brown [aut, cre]
Maintainer: Andrew Brown <andrew.g.brown@usda.gov>

Diff between soilDB versions 2.8.1 dated 2024-01-09 and 2.8.2 dated 2024-04-22

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Package wconf updated to version 1.1.0 with previous version 1.0.0 dated 2023-12-12

Title: Weighted Confusion Matrix
Description: Allows users to create weighted confusion matrices and accuracy metrics that help with the model selection process for classification problems, where distance from the correct category is important. The package includes several weighting schemes which can be parameterized, as well as custom configuration options. Furthermore, users can decide whether they wish to positively or negatively affect the accuracy score as a result of applying weights to the confusion matrix. Functions are included to calculate accuracy metrics for imbalanced data. Finally, 'wconf' integrates well with the 'caret' package, but it can also work standalone when provided data in matrix form. References: Kuhn, M. (2008) "Building Perspective Models in R Using the caret Package" <doi:10.18637/jss.v028.i05> Monahov, A. (2021) "Model Evaluation with Weighted Threshold Optimization (and the mewto R package)" <doi:10.2139/ssrn.3805911> Starovoitov, V., Golub, Y. (2020). New Function for Estimating Imbalanc [...truncated...]
Author: Alexandru Monahov [aut, cre, cph]
Maintainer: Alexandru Monahov <alexandru.monahov@proton.me>

Diff between wconf versions 1.0.0 dated 2023-12-12 and 1.1.0 dated 2024-04-22

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Package tidyterra updated to version 0.6.0 with previous version 0.5.2 dated 2024-01-19

Title: 'tidyverse' Methods and 'ggplot2' Helpers for 'terra' Objects
Description: Extension of the 'tidyverse' for 'SpatRaster' and 'SpatVector' objects of the 'terra' package. It includes also new 'geom_' functions that provide a convenient way of visualizing 'terra' objects with 'ggplot2'.
Author: Diego Hernangomez [aut, cre, cph] , Dewey Dunnington [ctb] , ggplot2 authors [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package text updated to version 1.2.1 with previous version 1.2.0 dated 2024-02-13

Title: Analyses of Text using Transformers Models from HuggingFace, Natural Language Processing and Machine Learning
Description: Link R with Transformers from Hugging Face to transform text variables to word embeddings; where the word embeddings are used to statistically test the mean difference between set of texts, compute semantic similarity scores between texts, predict numerical variables, and visual statistically significant words according to various dimensions etc. For more information see <https://www.r-text.org>.
Author: Oscar Kjell [aut, cre] , Salvatore Giorgi [aut] , Andrew Schwartz [aut]
Maintainer: Oscar Kjell <oscar.kjell@psy.lu.se>

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Package SpaTopic updated to version 1.1.0 with previous version 1.0.1 dated 2024-01-17

Title: Topic Inference to Identify Tissue Architecture in Multiplexed Images
Description: A novel spatial topic model to integrate both cell type and spatial information to identify the complex spatial tissue architecture on multiplexed tissue images without human intervention. The Package implements a collapsed Gibbs sampling algorithm for inference. 'SpaTopic' is scalable to large-scale image datasets without extracting neighborhood information for every single cell. For more details on the methodology, see <https://xiyupeng.github.io/SpaTopic/>.
Author: Xiyu Peng [aut, cre]
Maintainer: Xiyu Peng <pansypeng124@gmail.com>

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Package SNSequate updated to version 1.3-5 with previous version 1.3-4 dated 2022-12-20

Title: Standard and Nonstandard Statistical Models and Methods for Test Equating
Description: Contains functions to perform various models and methods for test equating (Kolen and Brennan, 2014 <doi:10.1007/978-1-4939-0317-7> ; Gonzalez and Wiberg, 2017 <doi:10.1007/978-3-319-51824-4> ; von Davier et. al, 2004 <doi:10.1007/b97446>). It currently implements the traditional mean, linear and equipercentile equating methods. Both IRT observed-score and true-score equating are also supported, as well as the mean-mean, mean-sigma, Haebara and Stocking-Lord IRT linking methods. It also supports newest methods such that local equating, kernel equating (using Gaussian, logistic, Epanechnikov, uniform and adaptive kernels) with presmoothing, and IRT parameter linking methods based on asymmetric item characteristic functions. Functions to obtain both standard error of equating (SEE) and standard error of equating differences between two equating functions (SEED) are also implemented for the kernel method of equating.
Author: Jorge Gonzalez [cre, aut], Daniel Leon Acuna [ctb]
Maintainer: Jorge Gonzalez <jorge.gonzalez@mat.uc.cl>

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Package shinylight updated to version 1.2 with previous version 1.1.2 dated 2022-11-30

Title: Web Interface to 'R' Functions
Description: Web front end for your 'R' functions producing plots or tables. If you have a function or set of related functions, you can make them available over the internet through a web browser. This is the same motivation as the 'shiny' package, but note that the development of 'shinylight' is not in any way linked to that of 'shiny' (beyond the use of the 'httpuv' package). You might prefer 'shinylight' to 'shiny' if you want a lighter weight deployment with easier horizontal scaling, or if you want to develop your front end yourself in JavaScript and HTML just using a lightweight remote procedure call interface to your R code on the server.
Author: Pieter Vermeesch [aut], Tim Band [aut, cre]
Maintainer: Tim Band <t.band@ucl.ac.uk>

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Package ruijter updated to version 0.1.3 with previous version 0.1.2 dated 2023-02-08

Title: Technical Data Sets by Ruijter et al. (2013)
Description: The real-time quantitative polymerase chain reaction (qPCR) technical data sets by Ruijter et al. (2013) <doi:10.1016/j.ymeth.2012.08.011>: (i) the four-point 10-fold dilution series; (ii) 380 replicates; and (iii) the competimer data set. These three data sets can be used to benchmark qPCR methods. Original data set is available at <https://medischebiologie.nl/wp-content/uploads/2019/02/qpcrdatamethods.zip>. This package fixes incorrect annotations in the original data sets.
Author: Ramiro Magno [aut, cre] , Pattern Institute [cph, fnd]
Maintainer: Ramiro Magno <rmagno@pattern.institute>

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Package vermeulen updated to version 0.1.2 with previous version 0.1.1 dated 2022-11-10

Title: Biomarker Data Set by Vermeulen et al. (2009)
Description: The biomarker data set by Vermeulen et al. (2009) <doi:10.1016/S1470-2045(09)70154-8> is provided. The data source, however, is by Ruijter et al. (2013) <doi:10.1016/j.ymeth.2012.08.011>. The original data set may be downloaded from <https://medischebiologie.nl/wp-content/uploads/2019/02/qpcrdatamethods.zip>. This data set is for a real-time quantitative polymerase chain reaction (PCR) experiment that comprises the raw fluorescence data of 24,576 amplification curves. This data set comprises 59 genes of interest and 5 reference genes. Each gene was assessed on 366 neuroblastoma complementary DNA (cDNA) samples and on 18 standard dilution series samples (10-fold 5-point dilution series x 3 replicates + no template controls (NTC) x 3 replicates).
Author: Ramiro Magno [aut, cre] , Pattern Institute [cph, fnd]
Maintainer: Ramiro Magno <rmagno@pattern.institute>

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Package rutledge updated to version 0.1.1 with previous version 0.1.0 dated 2023-02-27

Title: Real-Time PCR Data Sets by Rutledge et al. (2004)
Description: Real-time quantitative polymerase chain reaction (qPCR) data by Rutledge et al. (2004) <doi:10.1093/nar/gnh177> in tidy format. The data comprises a six-point, ten-fold dilution series, repeated in five independent runs, for two different amplicons. In each run, each standard concentration is replicated four times. For the original raw data file see the Supplementary Data section: <https://academic.oup.com/nar/article/32/22/e178/2375678#supplementary-data>.
Author: Ramiro Magno [aut, cre] , Pattern Institute [cph, fnd]
Maintainer: Ramiro Magno <rmagno@pattern.institute>

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Package RivRetrieve updated to version 0.1.5 with previous version 0.1.4 dated 2024-03-02

Title: Retrieve Global River Gauge Data
Description: Provides access to global river gauge data from a variety of national-level river agencies. The package interfaces with the national-level agency websites to provide access to river gauge locations, river discharge, and river stage. Currently, the package is available for the following countries: Australia, Brazil, Canada, Chile, France, Japan, South Africa, the United Kingdom, and the United States.
Author: Ryan Riggs [aut, cre] , Simon Moulds [aut] , Michel Wortmann [aut] , Louise Slater [aut] , George Allen [aut]
Maintainer: Ryan Riggs <ryanriggs7@gmail.com>

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Package reticulate updated to version 1.36.1 with previous version 1.36.0 dated 2024-04-15

Title: Interface to 'Python'
Description: Interface to 'Python' modules, classes, and functions. When calling into 'Python', R data types are automatically converted to their equivalent 'Python' types. When values are returned from 'Python' to R they are converted back to R types. Compatible with all versions of 'Python' >= 2.7.
Author: Tomasz Kalinowski [ctb, cre], Kevin Ushey [aut], JJ Allaire [aut], RStudio [cph, fnd], Yuan Tang [aut, cph] , Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Sigrid Keydana [ctb], Ryan Hafen [ctb, cph], Marcus Geelnard [ctb, cph]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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Package batsch updated to version 0.1.1 with previous version 0.1.0 dated 2023-02-14

Title: Real-Time PCR Data Sets by Batsch et al. (2008)
Description: Real-time quantitative polymerase chain reaction (qPCR) data sets by Batsch et al. (2008) <doi:10.1186/1471-2105-9-95>. This package provides five data sets, one for each PCR target: (i) rat SLC6A14, (ii) human SLC22A13, (iii) pig EMT, (iv) chicken ETT, and (v) human GAPDH. Each data set comprises a five-point, four-fold dilution series. For each concentration there are three replicates. Each amplification curve is 45 cycles long. Original raw data file: <https://static-content.springer.com/esm/art%3A10.1186%2F1471-2105-9-95/MediaObjects/12859_2007_2080_MOESM5_ESM.xls>.
Author: Ramiro Magno [aut, cre] , Pattern Institute [cph, fnd]
Maintainer: Ramiro Magno <rmagno@pattern.institute>

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Package EGAnet updated to version 2.0.6 with previous version 2.0.5 dated 2024-03-15

Title: Exploratory Graph Analysis – a Framework for Estimating the Number of Dimensions in Multivariate Data using Network Psychometrics
Description: Implements the Exploratory Graph Analysis (EGA) framework for dimensionality and psychometric assessment. EGA estimates the number of dimensions in psychological data using network estimation methods and community detection algorithms. A bootstrap method is provided to assess the stability of dimensions and items. Fit is evaluated using the Entropy Fit family of indices. Unique Variable Analysis evaluates the extent to which items are locally dependent (or redundant). Network loadings provide similar information to factor loadings and can be used to compute network scores. A bootstrap and permutation approach are available to assess configural and metric invariance. Hierarchical structures can be detected using Hierarchical EGA. Time series and intensive longitudinal data can be analyzed using Dynamic EGA, supporting individual, group, and population level assessments.
Author: Hudson Golino [aut, cre] , Alexander Christensen [aut] , Robert Moulder [ctb] , Luis E. Garrido [ctb] , Laura Jamison [ctb] , Dingjing Shi [ctb]
Maintainer: Hudson Golino <hfg9s@virginia.edu>

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Package WVPlots updated to version 1.3.8 with previous version 1.3.7 dated 2023-08-19

Title: Common Plots for Analysis
Description: Select data analysis plots, under a standardized calling interface implemented on top of 'ggplot2' and 'plotly'. Plots of interest include: 'ROC', gain curve, scatter plot with marginal distributions, conditioned scatter plot with marginal densities, box and stem with matching theoretical distribution, and density with matching theoretical distribution.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package plsVarSel updated to version 0.9.11 with previous version 0.9.10 dated 2023-01-12

Title: Variable Selection in Partial Least Squares
Description: Interfaces and methods for variable selection in Partial Least Squares. The methods include filter methods, wrapper methods and embedded methods. Both regression and classification is supported.
Author: Kristian Hovde Liland [aut, cre] , Tahir Mehmood [ctb], Solve Saeboe [ctb]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

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Package lares updated to version 5.2.7 with previous version 5.2.5 dated 2024-01-22

Title: Analytics & Machine Learning Sidekick
Description: Auxiliary package for better/faster analytics, visualization, data mining, and machine learning tasks. With a wide variety of family functions, like Machine Learning, Data Wrangling, Exploratory, API, and Scrapper, it helps the analyst or data scientist to get quick and robust results, without the need of repetitive coding or extensive R programming skills.
Author: Bernardo Lares [aut, cre]
Maintainer: Bernardo Lares <laresbernardo@gmail.com>

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Package gtable updated to version 0.3.5 with previous version 0.3.4 dated 2023-08-21

Title: Arrange 'Grobs' in Tables
Description: Tools to make it easier to work with "tables" of 'grobs'. The 'gtable' package defines a 'gtable' grob class that specifies a grid along with a list of grobs and their placement in the grid. Further the package makes it easy to manipulate and combine 'gtable' objects so that complex compositions can be built up sequentially.
Author: Hadley Wickham [aut], Thomas Lin Pedersen [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

Diff between gtable versions 0.3.4 dated 2023-08-21 and 0.3.5 dated 2024-04-22

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Package BayesMallows updated to version 2.2.1 with previous version 2.2.0 dated 2024-04-19

Title: Bayesian Preference Learning with the Mallows Rank Model
Description: An implementation of the Bayesian version of the Mallows rank model (Vitelli et al., Journal of Machine Learning Research, 2018 <https://jmlr.org/papers/v18/15-481.html>; Crispino et al., Annals of Applied Statistics, 2019 <doi:10.1214/18-AOAS1203>; Sorensen et al., R Journal, 2020 <doi:10.32614/RJ-2020-026>; Stein, PhD Thesis, 2023 <https://eprints.lancs.ac.uk/id/eprint/195759>). Both Metropolis-Hastings and sequential Monte Carlo algorithms for estimating the models are available. Cayley, footrule, Hamming, Kendall, Spearman, and Ulam distances are supported in the models. The rank data to be analyzed can be in the form of complete rankings, top-k rankings, partially missing rankings, as well as consistent and inconsistent pairwise preferences. Several functions for plotting and studying the posterior distributions of parameters are provided. The package also provides functions for estimating the partition function (normalizing constant) of the Mallows rank mo [...truncated...]
Author: Oystein Sorensen [aut, cre] , Waldir Leoncio [aut], Valeria Vitelli [aut] , Marta Crispino [aut], Qinghua Liu [aut], Cristina Mollica [aut], Luca Tardella [aut], Anja Stein [aut]
Maintainer: Oystein Sorensen <oystein.sorensen.1985@gmail.com>

Diff between BayesMallows versions 2.2.0 dated 2024-04-19 and 2.2.1 dated 2024-04-22

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Package antaresRead updated to version 2.6.1 with previous version 2.6.0 dated 2023-08-30

Title: Import, Manipulate and Explore the Results of an 'Antares' Simulation
Description: Import, manipulate and explore results generated by 'Antares', a powerful open source software developed by RTE (Réseau de Transport d’Électricité) to simulate and study electric power systems (more information about 'Antares' here : <https://antares-simulator.org/>).
Author: Tatiana Vargas [aut, cre], Jalal-Edine ZAWAM [aut], Frederic Breant [ctb], Francois Guillem [aut], Benoit Thieurmel [aut], Titouan Robert [aut], Victor Perrier [ctb], Etienne Sanchez [ctb], Assil Mansouri [ctb], Clement Berthet [ctb], Kamel Kemiha [c [...truncated...]
Maintainer: Tatiana Vargas <tatiana.vargas@rte-france.com>

Diff between antaresRead versions 2.6.0 dated 2023-08-30 and 2.6.1 dated 2024-04-22

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Package WorldMapR updated to version 0.1.1 with previous version 0.1.0 dated 2024-02-13

Title: Worldwide or Coordinates-Based Heat Maps
Description: Easily plot heat maps of the world, based on continuous or categorical data. Country labels can also be added to the map.
Author: Luigi Annicchiarico [cre, aut]
Maintainer: Luigi Annicchiarico <luigi.annic@gmail.com>

Diff between WorldMapR versions 0.1.0 dated 2024-02-13 and 0.1.1 dated 2024-04-22

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Package tidyBdE updated to version 0.3.6 with previous version 0.3.5 dated 2024-01-29

Title: Download Data from Bank of Spain
Description: Tools to download data series from 'Banco de España' ('BdE') on 'tibble' format. 'Banco de España' is the national central bank and, within the framework of the Single Supervisory Mechanism ('SSM'), the supervisor of the Spanish banking system along with the European Central Bank. This package is in no way sponsored endorsed or administered by 'Banco de España'.
Author: Diego H. Herrero [aut, cre, cph]
Maintainer: Diego H. Herrero <dev.dieghernan@gmail.com>

Diff between tidyBdE versions 0.3.5 dated 2024-01-29 and 0.3.6 dated 2024-04-22

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New package Clustering with initial version 1.7.10
Package: Clustering
Title: Techniques for Evaluating Clustering
Description: The design of this package allows us to run different clustering packages and compare the results between them, to determine which algorithm behaves best from the data provided. See Martos, L.A.P., García-Vico, Á.M., González, P. et al.(2023) <doi:10.1007/s13748-022-00294-2> "Clustering: an R library to facilitate the analysis and comparison of cluster algorithms.", Martos, L.A.P., García-Vico, Á.M., González, P. et al. "A Multiclustering Evolutionary Hyperrectangle-Based Algorithm" <doi:10.1007/s44196-023-00341-3> and L.A.P., García-Vico, Á.M., González, P. et al. "An Evolutionary Fuzzy System for Multiclustering in Data Streaming" <doi:10.1016/j.procs.2023.12.058>.
Version: 1.7.10
Date: 2024-04-20
Author: Luis Alfonso Perez Martos [aut, cre]
Maintainer: Luis Alfonso Perez Martos <lapm0001@gmail.com>
URL: https://github.com/laperez/clustering
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Repository: CRAN
Imports: amap, apcluster, cluster, ClusterR, data.table, dplyr, foreach, future, ggplot2, gmp, methods, pracma, pvclust, shiny, sqldf, stats, tools, utils, xtable, toOrdinal
Suggests: DT, shinyalert, shinyFiles, shinyjs, shinythemes, shinyWidgets, tidyverse, shinycssloaders
NeedsCompilation: no
Packaged: 2024-04-22 18:47:54 UTC; luis
Depends: R (>= 3.5.0)
Date/Publication: 2024-04-22 19:10:11 UTC

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Package cheapr updated to version 0.9.0 with previous version 0.8.0 dated 2024-04-12

Title: Simple Functions to Save Time and Memory
Description: Fast and memory-efficient (or 'cheap') tools to facilitate efficient programming, saving time and memory. It aims to provide 'cheaper' alternatives to common base R functions, as well as some additional functions.
Author: Nick Christofides [aut, cre]
Maintainer: Nick Christofides <nick.christofides.r@gmail.com>

Diff between cheapr versions 0.8.0 dated 2024-04-12 and 0.9.0 dated 2024-04-22

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New package basecamb with initial version 1.1.5
Package: basecamb
Title: Utilities for Streamlined Data Import, Imputation and Modelling
Version: 1.1.5
Description: Provides functions streamlining the data analysis workflow: Outsourcing data import, renaming and type casting to a *.csv. Manipulating imputed datasets and fitting models on them. Summarizing models.
Depends: R (>= 4.0.0)
Imports: assertthat, dplyr, mice, Hmisc, survival, stats, purrr, MASS, sae
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), rms
URL: https://CRAN.R-project.org/package=basecamb, https://github.com/codeblue-team/basecamb
BugReports: https://github.com/codeblue-team/basecamb/issues
NeedsCompilation: no
Packaged: 2024-04-21 17:58:45 UTC; Peter
Author: J. Peter Marquardt [aut, cre] , Till D. Best [aut]
Maintainer: J. Peter Marquardt <peter@kmarquardt.de>
Repository: CRAN
Date/Publication: 2024-04-22 19:10:07 UTC

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Package valr updated to version 0.8.1 with previous version 0.8.0 dated 2024-04-04

Title: Genome Interval Arithmetic
Description: Read and manipulate genome intervals and signals. Provides functionality similar to command-line tool suites within R, enabling interactive analysis and visualization of genome-scale data. Riemondy et al. (2017) <doi:10.12688/f1000research.11997.1>.
Author: Jay Hesselberth [aut] , Kent Riemondy [aut, cre] , RNA Bioscience Initiative [fnd, cph]
Maintainer: Kent Riemondy <kent.riemondy@cuanschutz.edu>

Diff between valr versions 0.8.0 dated 2024-04-04 and 0.8.1 dated 2024-04-22

 DESCRIPTION        |    7 ++++---
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New package tidylda with initial version 0.0.5
Package: tidylda
Title: Latent Dirichlet Allocation Using 'tidyverse' Conventions
Version: 0.0.5
Description: Implements an algorithm for Latent Dirichlet Allocation (LDA), Blei et at. (2003) <https://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf>, using style conventions from the 'tidyverse', Wickham et al. (2019)<doi:10.21105/joss.01686>, and 'tidymodels', Kuhn et al.<https://tidymodels.github.io/model-implementation-principles/>. Fitting is done via collapsed Gibbs sampling. Also implements several novel features for LDA such as guided models and transfer learning based on ongoing and, as yet, unpublished research.
License: MIT + file LICENSE
URL: https://github.com/TommyJones/tidylda/
BugReports: https://github.com/TommyJones/tidylda/issues
Depends: R (>= 3.5.0)
Imports: dplyr, generics, gtools, Matrix, methods, mvrsquared (>= 0.1.0), Rcpp (>= 1.0.2), rlang, stats, stringr, tibble, tidyr, tidytext
Suggests: ggplot2, knitr, parallel, quanteda, testthat, tm, slam, spelling, covr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo, RcppProgress, RcppThread
Encoding: UTF-8
Language: en-US
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-04-20 21:24:04 UTC; tommy
Author: Tommy Jones [aut, cre] , Brendan Knapp [ctb] , Barum Park [ctb]
Maintainer: Tommy Jones <jones.thos.w@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-22 18:20:02 UTC

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New package slca with initial version 1.0.0
Package: slca
Title: Structural Modeling for Multiple Latent Class Variables
Version: 1.0.0
Maintainer: Youngsun Kim <yskstat@gmail.com>
Description: Provides comprehensive tools for the implementation of Structural Latent Class Models (SLCM), including Latent Transition Analysis (LTA; Linda M. Collins and Stephanie T. Lanza, 2009) <doi:10.1002/9780470567333>, Latent Class Profile Analysis (LCPA; Hwan Chung et al., 2010) <doi:10.1111/j.1467-985x.2010.00674.x>, and Joint Latent Class Analysis (JLCA; Saebom Jeon et al., 2017) <doi:10.1080/10705511.2017.1340844>, and any other extended models involving multiple latent class variables.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp
Imports: DiagrammeR, magrittr, MASS, Rcpp, stats
Depends: R (>= 2.10)
NeedsCompilation: yes
Packaged: 2024-04-20 20:00:31 UTC; kim0sun
Author: Youngsun Kim [aut, cre] , Hwan Chung [aut]
Repository: CRAN
Date/Publication: 2024-04-22 18:42:39 UTC

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New package Rtwobitlib with initial version 0.3.5
Package: Rtwobitlib
Title: '2bit' 'C' Library
Description: A trimmed down copy of the "kent-core source tree" turned into a 'C' library for manipulation of '.2bit' files. See <https://genome.ucsc.edu/FAQ/FAQformat.html#format7> for a quick overview of the '2bit' format. The "kent-core source tree" can be found here: <https://github.com/ucscGenomeBrowser/kent-core/>. Only the '.c' and '.h' files from the source tree that are related to manipulation of '.2bit' files were kept. Note that the package is primarily useful to developers of other R packages who wish to use the '2bit' 'C' library in their own 'C'/'C++' code.
URL: https://github.com/hpages/Rtwobitlib
BugReports: https://github.com/hpages/Rtwobitlib/issues
Version: 0.3.5
License: MIT + file LICENSE
Encoding: UTF-8
Imports: tools
Suggests: testthat, knitr, rmarkdown
SystemRequirements: GNU make
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-04-20 06:42:19 UTC; hpages
Author: Herve Pages [aut, cre], UC Regents [cph]
Maintainer: Herve Pages <hpages.on.github@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-22 18:32:43 UTC

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New package PanelTM with initial version 1.0
Package: PanelTM
Title: Two- And Three-Way Dynamic Panel Threshold Regression Model for Change Point Detection
Version: 1.0
Maintainer: F. Marta L. Di Lascio <marta.dilascio@unibz.it>
Description: Estimation of two- and three-way dynamic panel threshold regression models (Di Lascio and Perazzini (2024) <https://repec.unibz.it/bemps104.pdf>; Di Lascio and Perazzini (2022, ISBN:978-88-9193-231-0); Seo and Shin (2016) <doi:10.1016/j.jeconom.2016.03.005>) through the generalized method of moments based on the first difference transformation and the use of instrumental variables. The models can be used to find a change point detection in the time series. In addition, random number generation is also implemented.
License: GPL (>= 2)
Depends: R (>= 4.3.0), methods, stats, pracma
Imports:
NeedsCompilation: no
Packaged: 2024-04-20 13:37:37 UTC; FDiLascio
Author: Selene Perazzini [aut], F. Marta L. Di Lascio [aut, cre]
Repository: CRAN
Date/Publication: 2024-04-22 18:42:42 UTC

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New package guescini with initial version 0.1.0
Package: guescini
Title: Real-Time PCR Data Sets by Guescini et al. (2008)
Version: 0.1.0
Description: Real-time quantitative polymerase chain reaction (qPCR) data by Guescini et al. (2008) <doi:10.1186/1471-2105-9-326> in tidy format. This package provides two data sets where the amplification efficiency has been modulated: either by changing the amplification mix concentration, or by increasing the concentration of IgG, a PCR inhibitor. Original raw data files: <https://static-content.springer.com/esm/art%3A10.1186%2F1471-2105-9-326/MediaObjects/12859_2008_2311_MOESM1_ESM.xls> and <https://static-content.springer.com/esm/art%3A10.1186%2F1471-2105-9-326/MediaObjects/12859_2008_2311_MOESM5_ESM.xls>.
License: CC BY 4.0
Encoding: UTF-8
LazyData: true
URL: https://github.com/ramiromagno/guescini, https://rmagno.eu/guescini/
BugReports: https://github.com/ramiromagno/guescini/issues
Depends: R (>= 2.10)
Imports: tibble
NeedsCompilation: no
Packaged: 2024-04-21 00:22:31 UTC; rmagno
Author: Ramiro Magno [aut, cre] , Pattern Institute [cph, fnd]
Maintainer: Ramiro Magno <rmagno@pattern.institute>
Repository: CRAN
Date/Publication: 2024-04-22 18:50:02 UTC

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New package drclust with initial version 0.1
Package: drclust
Title: Simultaneous Clustering and (or) Dimensionality Reduction
Version: 0.1
Date: 2024-04-19
Description: Methods for simultaneous clustering and dimensionality reduction such as: Double k-means, Reduced k-means, Factorial k-means, Clustering with Disjoint PCA but also methods for exclusively dimensionality reduction: Disjoint PCA, Disjoint FA. The statistical methods implemented refer to the following articles: de Soete G., Carroll J. (1994) "K-means clustering in a low-dimensional Euclidean space" <doi:10.1007/978-3-642-51175-2_24> ; Vichi M. (2001) "Double k-means Clustering for Simultaneous Classification of Objects and Variables" <doi:10.1007/978-3-642-59471-7_6> ; Vichi M., Kiers H.A.L. (2001) "Factorial k-means analysis for two-way data" <doi:10.1016/S0167-9473(00)00064-5> ; Vichi M., Saporta G. (2009) "Clustering and disjoint principal component analysis" <doi:10.1016/j.csda.2008.05.028> ; Vichi M. (2017) "Disjoint factor analysis with cross-loadings" <doi:10.1007/s11634-016-0263-9>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: Rcpp, RcppArmadillo, fpc, cluster, factoextra, pheatmap
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2024-04-19 15:48:27 UTC; Ionel
Author: Ionel Prunila [aut, cre], Maurizio Vichi [aut]
Maintainer: Ionel Prunila <ionel.prunila@uniroma1.it>
Repository: CRAN
Date/Publication: 2024-04-22 18:22:47 UTC

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New package donutsk with initial version 0.1.1
Package: donutsk
Title: Construct Advanced Donut Charts
Version: 0.1.1
Description: Build donut/pie charts with 'ggplot2' layer by layer, exploiting the advantages of polar symmetry. Leverage layouts to distribute labels effectively. Connect labels to donut segments using pins. Streamline annotation and highlighting.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/dkibalnikov/donutsk, https://dkibalnikov.github.io/donutsk/
BugReports: https://github.com/dkibalnikov/donutsk/issues
Depends: ggplot2 (>= 3.5.0), R (>= 4.2.0)
Imports: dplyr (>= 1.1.2), glue (>= 1.6.2), rlang (>= 1.1.1)
Suggests: knitr, rmarkdown, scales (>= 1.3.0), stringr (>= 1.5.0), testthat (>= 3.0.0), tidyr (>= 1.3.0)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-21 10:42:22 UTC; Dmitrii_Kibalnikov
Author: Dmitry Kibalnikov [aut, cre, cph]
Maintainer: Dmitry Kibalnikov <d.kibalnikov@gmail.com>
Repository: CRAN
Date/Publication: 2024-04-22 18:50:06 UTC

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New package aifeducation with initial version 0.3.3
Package: aifeducation
Title: Artificial Intelligence for Education
Version: 0.3.3
Description: In social and educational settings, the use of Artificial Intelligence (AI) is a challenging task. Relevant data is often only available in handwritten forms, or the use of data is restricted by privacy policies. This often leads to small data sets. Furthermore, in the educational and social sciences, data is often unbalanced in terms of frequencies. To support educators as well as educational and social researchers in using the potentials of AI for their work, this package provides a unified interface for neural nets in 'keras', 'tensorflow', and 'pytorch' to deal with natural language problems. In addition, the package ships with a shiny app, providing a graphical user interface. This allows the usage of AI for people without skills in writing python/R scripts. The tools integrate existing mathematical and statistical methods for dealing with small data sets via pseudo-labeling (e.g. Lee (2013) <https://www.researchgate.net/publication/280581078_Pseudo-Label_The_Simple_and_Efficie [...truncated...]
License: GPL-3
URL: https://fberding.github.io/aifeducation/
BugReports: https://github.com/cran/aifeducation/issues
Depends: R (>= 3.5.0)
Imports: abind, foreach, doParallel, iotarelr(>= 0.1.5), irr, irrCAC, methods, Rcpp (>= 1.0.10), reshape2, reticulate (>= 1.34.0), smotefamily, stringr, rlang, utils
Suggests: text2vec, tidytext, topicmodels, udpipe, quanteda, knitr, rmarkdown, testthat (>= 3.0.0), ggplot2, shiny, shinyFiles, shinyWidgets, shinydashboard, shinyjs, fs, readtext, readxl
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2024-04-20 19:54:50 UTC; WissMit
Author: Berding Florian [aut, cre] , Pargmann Julia [ctb], Riebenbauer Elisabeth [ctb], Rebmann Karin [ctb], Slopinski Andreas [ctb]
Maintainer: Berding Florian <florian.berding@uni-hamburg.de>
Repository: CRAN
Date/Publication: 2024-04-22 18:22:50 UTC

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Package atime updated to version 2024.4.17 with previous version 2024.4.12 dated 2024-04-13

Title: Asymptotic Timing
Description: Computing and visualizing comparative asymptotic timings of different algorithms and code versions. Also includes functionality for comparing empirical timings with expected references such as linear or quadratic, <https://en.wikipedia.org/wiki/Asymptotic_computational_complexity> Also includes functionality for measuring asymptotic memory and other quantities.
Author: Toby Hocking [aut, cre]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

Diff between atime versions 2024.4.12 dated 2024-04-13 and 2024.4.17 dated 2024-04-22

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Package gofastr (with last version 0.3.0) was removed from CRAN

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

2017-12-16 0.3.0
2017-02-19 0.2.1
2017-01-01 0.1.1

Permanent link
Package xlcharts updated to version 0.0.2 with previous version 0.0.1 dated 2024-04-18

Title: Create Native 'Excel' Charts and Work with Microsoft 'Excel' Files
Description: An R interface to the 'OpenPyXL' 'Python' library to create native 'Excel' charts and work with Microsoft 'Excel' files.
Author: Felix Luginbuhl [aut, cre, cph] , Eric Gazoni [ctb, cph] ), Charlie Clark [ctb, cph] ), openpyxl authors [ctb, cph] )
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>

Diff between xlcharts versions 0.0.1 dated 2024-04-18 and 0.0.2 dated 2024-04-22

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New package TreeRingShape with initial version 3.0.3
Package: TreeRingShape
Title: Recording Tree-Ring Shapes of Tree Disks with Manual Digitizing and Interpolating Model
Version: 3.0.3
Maintainer: Megumi ISHIDA <ishidam@sanchikanri.com>
Description: Record all tree-ring Shapefile of tree disk with GIS soft ('Qgis'<https://www.qgis.org/en/site/>) and interpolating model from high resolution tree disk image.
License: GPL (>= 2)
Depends: R (>= 3.6.2)
Imports: methods, sf
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
URL: https://github.com/ishidamgm/TreeRingShape, https://ishidamgm.github.io/TreeRingShape/, https://www.sanchikanri.com/treering/TreeRingShape.html
BugReports: https://github.com/ishidamgm/TreeRingShape/issues
NeedsCompilation: no
Packaged: 2024-04-19 21:09:17 UTC; i
Author: Megumi ISHIDA [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-04-22 15:12:37 UTC

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Package rocbc updated to version 3.1.0 with previous version 3.0.0 dated 2024-03-25

Title: Statistical Inference for Box-Cox Based Receiver Operating Characteristic Curves
Description: Generation of Box-Cox based ROC curves and several aspects of inferences and hypothesis testing. Can be used when inferences for one biomarker (Bantis LE, Nakas CT, Reiser B. (2018)<doi:10.1002/bimj.201700107>) are of interest or when comparisons of two correlated biomarkers (Bantis LE, Nakas CT, Reiser B. (2021)<doi:10.1002/bimj.202000128>) are of interest. Provides inferences and comparisons around the AUC, the Youden index, the sensitivity at a given specificity level (and vice versa), the optimal operating point of the ROC curve (in the Youden sense), and the Youden based cutoff.
Author: Leonidas Bantis [aut], Benjamin Brewer [cre, ctb], Christos Nakas [ctb], Benjamin Reiser [ctb]
Maintainer: Benjamin Brewer <tennisbenj@gmail.com>

Diff between rocbc versions 3.0.0 dated 2024-03-25 and 3.1.0 dated 2024-04-22

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Package nimbleAPT updated to version 1.0.5 with previous version 1.0.4 dated 2021-11-22

Title: Adaptive Parallel Tempering for 'NIMBLE'
Description: Functions for adaptive parallel tempering (APT) with NIMBLE models. Adapted from 'Lacki' & 'Miasojedow' (2016) <DOI:10.1007/s11222-015-9579-0> and 'Miasojedow, Moulines and Vihola' (2013) <DOI:10.1080/10618600.2013.778779>.
Author: David Pleydell [aut, cre, cph] , Daniel Turek [cph] , Perry de Valpine [cph] , Christopher Paciorek [cph] , Nick Michaud [cph]
Maintainer: David Pleydell <david.pleydell@inrae.fr>

Diff between nimbleAPT versions 1.0.4 dated 2021-11-22 and 1.0.5 dated 2024-04-22

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New package ViSe with initial version 0.1.2
Package: ViSe
Title: Visualizing Sensitivity
Version: 0.1.2
Depends: R (>= 3.1.0)
Imports: stats, ggplot2, methods, dplyr, tidyr, scales, cowplot, shiny
Maintainer: Erin M. Buchanan <buchananlab@gmail.com>
Description: Designed to help the user to determine the sensitivity of an proposed causal effect to unconsidered common causes. Users can create visualizations of sensitivity, effect sizes, and determine which pattern of effects would support a causal claim for between group differences. Number needed to treat formula from Kraemer H.C. & Kupfer D.J. (2006) <doi:10.1016/j.biopsych.2005.09.014>.
License: LGPL-3
Encoding: UTF-8
URL: http://www.aggieerin.com/ViSe/
Suggests: knitr, rmarkdown, plotly
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-19 13:06:05 UTC; erinbuchanan
Author: Erin M. Buchanan [aut, cre]
Repository: CRAN
Date/Publication: 2024-04-22 14:32:33 UTC

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New package TrendLSW with initial version 1.0.1
Package: TrendLSW
Title: Wavelet Methods for Analysing Locally Stationary Time Series
Version: 1.0.1
Depends: R (>= 4.1.0)
Maintainer: Euan T. McGonigle <e.t.mcgonigle@soton.ac.uk>
Description: Fitting models for, and simulation of, trend locally stationary wavelet (TLSW) time series models, which take account of time-varying trend and dependence structure in a univariate time series. The TLSW model, and its estimation, is described in McGonigle, Killick and Nunes (2022a) <doi:10.1111/jtsa.12643>, (2022b) <doi:10.1214/22-EJS2044>. New users will likely want to start with the TLSW function.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: wavethresh, locits
URL: https://github.com/EuanMcGonigle/TrendLSW
BugReports: https://github.com/EuanMcGonigle/TrendLSW/issues
Suggests: testthat (>= 3.0.0), vdiffr
NeedsCompilation: no
Packaged: 2024-04-19 15:27:32 UTC; euanmcgonigle
Author: Euan T. McGonigle [aut, cre], Rebecca Killick [aut], Matthew Nunes [aut]
Repository: CRAN
Date/Publication: 2024-04-22 14:42:38 UTC

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New package sim.BA with initial version 0.1.0
Package: sim.BA
Title: Simulation-Based Bias Analysis for Observational Studies
Version: 0.1.0
Description: Allows user to conduct a simulation based quantitative bias analysis using covariate structures generated with individual-level data to characterize the bias arising from unmeasured confounding. Users can specify their desired data generating mechanisms to simulate data and quantitatively summarize findings in an end-to-end application using this package.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Encoding: UTF-8
Imports: chk (>= 0.9.1), cobalt (>= 4.5.3), ggplot2 (>= 3.4.4), scales (>= 1.3.0), pbapply (>= 1.7-2), rlang (>= 1.1.3), stats, survival, utils
Suggests: MatchIt (>= 4.5.5), WeightIt (>= 0.14.2), parallel, openxlsx (>= 4.2.5.2), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-04-18 14:18:22 UTC; NoahGreifer
Author: Rishi Desai [aut, cre] , Noah Greifer [aut]
Maintainer: Rishi Desai <rdesai@bwh.harvard.edu>
Repository: CRAN
Date/Publication: 2024-04-22 14:42:35 UTC

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Package evreg updated to version 1.0.4 with previous version 1.0.3 dated 2023-11-09

Title: Evidential Regression
Description: An implementation of the 'Evidential Neural Network for Regression' model recently introduced in Denoeux (2023) <doi:10.1109/TFUZZ.2023.3268200>. In this model, prediction uncertainty is quantified by Gaussian random fuzzy numbers as introduced in Denoeux (2023) <doi:10.1016/j.fss.2022.06.004>. The package contains functions for training the network, tuning hyperparameters by cross-validation or the hold-out method, and making predictions. It also contains utilities for making calculations with Gaussian random fuzzy numbers (such as, e.g., computing the degrees of belief and plausibility of an interval, or combining Gaussian random fuzzy numbers).
Author: Thierry Denoeux [aut, cre]
Maintainer: Thierry Denoeux <tdenoeux@utc.fr>

Diff between evreg versions 1.0.3 dated 2023-11-09 and 1.0.4 dated 2024-04-22

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Package diseasystore updated to version 0.2.1 with previous version 0.2.0 dated 2024-03-20

Title: Feature Stores for the 'diseasy' Framework
Description: Simple feature stores and tools for creating personalised feature stores. 'diseasystore' powers feature stores which can automatically link and aggregate features to a given stratification level. These feature stores are automatically time-versioned (powered by the 'SCDB' package) and allows you to easily and dynamically compute features as part of your continuous integration.
Author: Rasmus Skytte Randloev [aut, cre] , Marcus Munch Gruenewald [ctb] , Kaare Graesboell [rev] , Kasper Schou Telkamp [rev] , Lasse Engbo Christiansen [rev] , Sofia Myrup Otero [rev], Statens Serum Institut, SSI [cph, fnd]
Maintainer: Rasmus Skytte Randloev <rske@ssi.dk>

Diff between diseasystore versions 0.2.0 dated 2024-03-20 and 0.2.1 dated 2024-04-22

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New package ConfidenceEllipse with initial version 1.0.0
Package: ConfidenceEllipse
Title: Computation of 2D and 3D Elliptical Joint Confidence Regions
Version: 1.0.0
Maintainer: Christian L. Goueguel <christian.goueguel@gmail.com>
Description: Computing elliptical joint confidence regions at a specified confidence level. It provides the flexibility to estimate either classical or robust confidence regions, which can be visualized in 2D or 3D plots. The classical approach assumes normality and uses the mean and covariance matrix to define the confidence regions. Alternatively, the robustified version employs estimators like minimum covariance determinant (MCD) and M-estimator, making them less sensitive to outliers and departures from normality. Furthermore, the functions allow users to group the dataset based on categorical variables and estimate separate confidence regions for each group. This capability is particularly useful for exploring potential differences or similarities across subgroups within a dataset. Varmuza and Filzmoser (2009, ISBN:978-1-4200-5947-2). Johnson and Wichern (2007, ISBN:0-13-187715-1). Raymaekers and Rousseeuw (2019) <DOI:10.1080/00401706.2019.1677270>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: cellWise, dplyr, forcats, ggplot2, magrittr, pcaPP, purrr, rgl, rlang, stats, tibble, tidyr, tidyselect
URL: https://christiangoueguel.github.io/ConfidenceEllipse/, https://github.com/ChristianGoueguel/ConfidenceEllipse
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 2.10)
Language: en-US
BugReports: https://github.com/ChristianGoueguel/ConfidenceEllipse/issues
NeedsCompilation: no
Packaged: 2024-04-19 16:55:15 UTC; christiangoueguel
Author: Christian L. Goueguel [aut, cre]
Repository: CRAN
Date/Publication: 2024-04-22 14:52:38 UTC

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Package sgboost updated to version 0.1.2 with previous version 0.1.0 dated 2024-04-11

Title: Sparse-Group Boosting
Description: Sparse-group boosting to be used in conjunction with the 'mboost' for modeling grouped data. Applicable to all sparse-group lasso type problems where within-group and between-group sparsity is desired. Interprets and visualizes individual variables and groups.
Author: Fabian Obster [aut, cre, cph]
Maintainer: Fabian Obster <fabian.obster@unibw.de>

Diff between sgboost versions 0.1.0 dated 2024-04-11 and 0.1.2 dated 2024-04-22

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Package RainfallErosivityFactor updated to version 1.0.0 with previous version 0.1.0 dated 2018-11-18

Title: The Rainfall-Runoff Erosivity Factor
Description: Determination of rainfall-runoff erosivity factor.
Author: Dione Pereira Cardoso [aut, cre], Edilson Marcelino Silva [aut], Paulo Cesar Ossani [aut], Marx Leandro Naves Silva [ctb], Joel Augusto Muniz [ctb], Daniel Furtado Ferreira [ctb], Junior Cesar Avanzi [ctb]
Maintainer: Dione Pereira Cardoso <cardoso.dione@gmail.com>

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Package lrstat updated to version 0.2.5 with previous version 0.2.4 dated 2024-03-19

Title: Power and Sample Size Calculation for Non-Proportional Hazards and Beyond
Description: Performs power and sample size calculation for non-proportional hazards model using the Fleming-Harrington family of weighted log-rank tests. The sequentially calculated log-rank test score statistics are assumed to have independent increments as characterized in Anastasios A. Tsiatis (1982) <doi:10.1080/01621459.1982.10477898>. The mean and variance of log-rank test score statistics are calculated based on Kaifeng Lu (2021) <doi:10.1002/pst.2069>. The boundary crossing probabilities are calculated using the recursive integration algorithm described in Christopher Jennison and Bruce W. Turnbull (2000, ISBN:0849303168). The package can also be used for continuous, binary, and count data. For continuous data, it can handle missing data through mixed-model for repeated measures (MMRM). In crossover designs, it can estimate direct treatment effects while accounting for carryover effects. For binary data, it can design Simon's 2-stage, modified toxicity probability-2 (mTPI-2), a [...truncated...]
Author: Kaifeng Lu
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>

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Package ern updated to version 2.0.0 with previous version 1.3.1 dated 2024-01-29

Title: Effective Reproduction Number Estimation
Description: Estimate the effective reproduction number from wastewater and clinical data sources.
Author: David Champredon [aut, cre] , Warsame Yusuf [aut] , Irena Papst [aut]
Maintainer: David Champredon <david.champredon@canada.ca>

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Package LipidomicsR updated to version 0.3.6 with previous version 0.1.6 dated 2024-03-16

Title: Elegant Tools for Processing and Visualization of Lipidomics Data
Description: An elegant tool for processing and visualizing lipidomics data generated by mass spectrometry. 'LipidomicsR' simplifies channel and replicate handling while providing thorough lipid species annotation. Its visualization capabilities encompass principal components analysis plots, heatmaps, volcano plots, and radar plots, enabling concise data summarization and quality assessment. Additionally, it can generate bar plots and line plots to visualize the abundance of each lipid species.
Author: Mingshi Li [aut, com], Hengyu Zhu [aut, cre]
Maintainer: Hengyu Zhu <hengyu.21@intl.zju.edu.cn>

Diff between LipidomicsR versions 0.1.6 dated 2024-03-16 and 0.3.6 dated 2024-04-22

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Package fabletools updated to version 0.4.2 with previous version 0.4.1 dated 2024-03-02

Title: Core Tools for Packages in the 'fable' Framework
Description: Provides tools, helpers and data structures for developing models and time series functions for 'fable' and extension packages. These tools support a consistent and tidy interface for time series modelling and analysis.
Author: Mitchell O'Hara-Wild [aut, cre] , Rob Hyndman [aut], Earo Wang [aut] , Di Cook [ctb], George Athanasopoulos [ctb], David Holt [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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Package ripc updated to version 0.3.0 with previous version 0.2.1 dated 2024-03-15

Title: Download and Tidy IPC and CH Data
Description: Utilities to access Integrated Food Security Phase Classification (IPC) and Cadre Harmonisé (CH) food security data. Wrapper functions are available for all of the 'IPC-CH' Public API (<https://docs.api.ipcinfo.org>) simplified and advanced endpoints to easily download the data in a clean and tidy format.
Author: Seth Caldwell [aut, cre, cph]
Maintainer: Seth Caldwell <caldwellst@gmail.com>

Diff between ripc versions 0.2.1 dated 2024-03-15 and 0.3.0 dated 2024-04-22

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Package memoiR updated to version 1.2-9 with previous version 1.2-7 dated 2024-02-26

Title: R Markdown and Bookdown Templates to Publish Documents
Description: Producing high-quality documents suitable for publication directly from R is made possible by the R Markdown ecosystem. 'memoiR' makes it easy. It provides templates to knit memoirs, articles and slideshows with helpers to publish the documents on GitHub Pages and activate continuous integration.
Author: Eric Marcon [aut, cre]
Maintainer: Eric Marcon <eric.marcon@agroparistech.fr>

Diff between memoiR versions 1.2-7 dated 2024-02-26 and 1.2-9 dated 2024-04-22

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Package acled.api updated to version 1.1.8 with previous version 1.1.7 dated 2024-01-10

Title: Automated Retrieval of ACLED Conflict Event Data
Description: Access and manage the application programming interface (API) of the Armed Conflict Location & Event Data Project (ACLED) at <https://acleddata.com/>. The package makes it easy to retrieve a user-defined sample (or all of the available data) of ACLED, enabling a seamless integration of regular data updates into the research work flow. It requires a minimal number of dependencies. See the package's README file for a note on replicability when drawing on ACLED data. When using this package, you acknowledge that you have read ACLED's terms and conditions of use, and that you agree with their attribution requirements.
Author: Christoph Dworschak [aut, cre] , Rob Williams [ctb]
Maintainer: Christoph Dworschak <dworschak@posteo.de>

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Package SAiVE updated to version 1.0.5 with previous version 1.0.4 dated 2024-02-07

Title: Functions Used for SAiVE Group Research, Collaborations, and Publications
Description: Holds functions developed by the University of Ottawa's SAiVE (Spatio-temporal Analysis of isotope Variations in the Environment) research group with the intention of facilitating the re-use of code, foster good code writing practices, and to allow others to benefit from the work done by the SAiVE group. Contributions are welcome via the 'GitHub' repository <https://github.com/UO-SAiVE/SAiVE> by group members as well as non-members.
Author: Ghislain de Laplante [aut, cre, cph]
Maintainer: Ghislain de Laplante <ghislain.delaplante@yukon.ca>

Diff between SAiVE versions 1.0.4 dated 2024-02-07 and 1.0.5 dated 2024-04-22

 DESCRIPTION                          |    6 
 MD5                                  |   26 +-
 NEWS.md                              |   15 +
 R/createStreams.R                    |   16 -
 R/drainageBasins.R                   |   64 +++----
 R/hydroProcess.R                     |   20 +-
 R/modelMatch.R                       |    6 
 R/spatPredict.R                      |  309 ++++++++++++++++++++++++-----------
 R/thinFeatures.R                     |   16 -
 R/wbtCheck.R                         |    2 
 man/spatPredict.Rd                   |   48 +++--
 tests/testthat/test-createStreams.R  |    2 
 tests/testthat/test-drainageBasins.R |    2 
 tests/testthat/test-hydroProcess.R   |    2 
 14 files changed, 346 insertions(+), 188 deletions(-)

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Package rococo updated to version 1.1.8 with previous version 1.1.7 dated 2018-10-12

Title: Robust Rank Correlation Coefficient and Test
Description: Provides the robust gamma rank correlation coefficient as introduced by Bodenhofer, Krone, and Klawonn (2013) <DOI:10.1016/j.ins.2012.11.026> along with a permutation-based rank correlation test. The rank correlation coefficient and the test are explicitly designed for dealing with noisy numerical data.
Author: Martin Krone [aut], Ulrich Bodenhofer [aut,cre]
Maintainer: Ulrich Bodenhofer <ulrich@bodenhofer.com>

Diff between rococo versions 1.1.7 dated 2018-10-12 and 1.1.8 dated 2024-04-22

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 rococo-1.1.8/rococo/DESCRIPTION                  |   15 ++--
 rococo-1.1.8/rococo/MD5                          |   21 ++----
 rococo-1.1.8/rococo/README.md                    |   31 ++++++---
 rococo-1.1.8/rococo/build/vignette.rds           |binary
 rococo-1.1.8/rococo/inst/CITATION                |   14 ++--
 rococo-1.1.8/rococo/inst/NEWS                    |    7 +-
 rococo-1.1.8/rococo/inst/doc/rococo.Rnw          |   78 ++---------------------
 rococo-1.1.8/rococo/inst/doc/rococo.pdf          |binary
 rococo-1.1.8/rococo/vignettes/rococo.Rnw         |   78 ++---------------------
 rococo-1.1.8/rococo/vignettes/ubmanual.cls       |only
 14 files changed, 71 insertions(+), 173 deletions(-)

More information about rococo at CRAN
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Package ieugwasr updated to version 1.0.0 with previous version 0.2.2 dated 2024-03-28

Title: Interface to the 'OpenGWAS' Database API
Description: Interface to the 'OpenGWAS' database API <https://gwas-api.mrcieu.ac.uk/>. Includes a wrapper to make generic calls to the API, plus convenience functions for specific queries.
Author: Gibran Hemani [aut, cre, cph] , Ben Elsworth [aut] , Tom Palmer [aut] , Rita Rasteiro [aut]
Maintainer: Gibran Hemani <g.hemani@bristol.ac.uk>

Diff between ieugwasr versions 0.2.2 dated 2024-03-28 and 1.0.0 dated 2024-04-22

 ieugwasr-0.2.2/ieugwasr/R/utils-pipe.R                 |only
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 ieugwasr-1.0.0/ieugwasr/DESCRIPTION                    |   10 
 ieugwasr-1.0.0/ieugwasr/MD5                            |   94 ++++-----
 ieugwasr-1.0.0/ieugwasr/NAMESPACE                      |    7 
 ieugwasr-1.0.0/ieugwasr/NEWS.md                        |   10 
 ieugwasr-1.0.0/ieugwasr/R/afl2.r                       |   47 +---
 ieugwasr-1.0.0/ieugwasr/R/api.R                        |   82 +++----
 ieugwasr-1.0.0/ieugwasr/R/globals.R                    |only
 ieugwasr-1.0.0/ieugwasr/R/ld_clump.R                   |   23 --
 ieugwasr-1.0.0/ieugwasr/R/ld_matrix.R                  |    9 
 ieugwasr-1.0.0/ieugwasr/R/query.R                      |  120 ++++-------
 ieugwasr-1.0.0/ieugwasr/R/variants.R                   |   20 +
 ieugwasr-1.0.0/ieugwasr/R/zzz.R                        |   21 --
 ieugwasr-1.0.0/ieugwasr/README.md                      |   19 +
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 ieugwasr-1.0.0/ieugwasr/inst/doc/guide.Rmd             |   37 +--
 ieugwasr-1.0.0/ieugwasr/inst/doc/guide.html            |  176 +++++++++--------
 ieugwasr-1.0.0/ieugwasr/man/afl2_chrpos.Rd             |    4 
 ieugwasr-1.0.0/ieugwasr/man/afl2_list.Rd               |    7 
 ieugwasr-1.0.0/ieugwasr/man/afl2_rsid.Rd               |    4 
 ieugwasr-1.0.0/ieugwasr/man/api_query.Rd               |    6 
 ieugwasr-1.0.0/ieugwasr/man/associations.Rd            |    7 
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 ieugwasr-1.0.0/ieugwasr/man/check_access_token.Rd      |    5 
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 ieugwasr-1.0.0/ieugwasr/man/ld_matrix.Rd               |    3 
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 ieugwasr-1.0.0/ieugwasr/man/variants_gene.Rd           |    4 
 ieugwasr-1.0.0/ieugwasr/man/variants_rsid.Rd           |    4 
 ieugwasr-1.0.0/ieugwasr/man/variants_to_rsid.Rd        |    4 
 ieugwasr-1.0.0/ieugwasr/tests/testthat/test_afl2.r     |    2 
 ieugwasr-1.0.0/ieugwasr/tests/testthat/test_api.r      |    4 
 ieugwasr-1.0.0/ieugwasr/tests/testthat/test_ld.r       |    4 
 ieugwasr-1.0.0/ieugwasr/tests/testthat/test_query.r    |   32 ++-
 ieugwasr-1.0.0/ieugwasr/tests/testthat/test_variants.r |    2 
 ieugwasr-1.0.0/ieugwasr/vignettes/guide.Rmd            |   37 +--
 54 files changed, 422 insertions(+), 450 deletions(-)

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Package colorscience updated to version 1.0.9 with previous version 1.0.8 dated 2019-10-29

Title: Color Science Methods and Data
Description: Methods and data for color science - color conversions by observer, illuminant, and gamma. Color matching functions and chromaticity diagrams. Color indices, color differences, and spectral data conversion/analysis. This package is deprecated and will someday be removed; for reasons and details please see the README file.
Author: Jose Gama [aut], Glenn Davis [aut, cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>

Diff between colorscience versions 1.0.8 dated 2019-10-29 and 1.0.9 dated 2024-04-22

 DESCRIPTION                                      |   10 +-
 MD5                                              |   80 +++++++++++------------
 NEWS.md                                          |    8 ++
 README.md                                        |    2 
 man/CIE1931XYZ2CIE1931xyz.Rd                     |    4 -
 man/CIE1931XYZ2CIE1960uv.Rd                      |    4 -
 man/CIE1931XYZ2CIE1976uv.Rd                      |    4 -
 man/CIE1931xy2CIE1960uv.Rd                       |    4 -
 man/CIE1931xy2CIE1976uv.Rd                       |    4 -
 man/CIE1960UCS2CIE1964.Rd                        |    4 -
 man/CIE1960UCS2xy.Rd                             |    4 -
 man/CIELabtoDIN99.Rd                             |    4 -
 man/DIN99toCIELab.Rd                             |    4 -
 man/Hue.2.RGB.Rd                                 |    4 -
 man/MaxChromaFromExtrapRenotationData.Rd         |    4 -
 man/MaxChromasForStandardMunsellHuesAndValues.Rd |    4 -
 man/MunsellHues.Rd                               |    4 -
 man/MunsellNeutrals2sRGB.Rd                      |    4 -
 man/MunsellSpectral.Rd                           |    4 -
 man/PhotoYCC2RGB.Rd                              |    4 -
 man/RGB2PhotoYCC.Rd                              |    4 -
 man/RGB2YCbCr.Rd                                 |    4 -
 man/RGB2YIQ.Rd                                   |    4 -
 man/RGB2YPbPr.Rd                                 |    4 -
 man/TCSdata.Rd                                   |    4 -
 man/YCbCr2RGB.Rd                                 |    4 -
 man/YIQ2RGB.Rd                                   |    4 -
 man/YPbPr2RGB.Rd                                 |    4 -
 man/compuphaseDifferenceRGB.Rd                   |    4 -
 man/createIsoTempLinesTable.Rd                   |    4 -
 man/footcandle2candela.steradian.sqmeter.Rd      |    4 -
 man/footcandle2lux.Rd                            |    4 -
 man/footcandle2watt.sqcentimeter.Rd              |    4 -
 man/huedegreemunsell.Rd                          |    4 -
 man/kelvin2xy.Rd                                 |    4 -
 man/spectra2CCT.Rd                               |    4 -
 man/spectra2CRIGAIFSCI.Rd                        |    4 -
 man/spectra2lux.Rd                               |    4 -
 man/whitepointsRGB.Rd                            |    4 -
 man/whitepointsilluminants.Rd                    |    4 -
 man/xy2CCT.HernandezAndres.Rd                    |    4 -
 41 files changed, 127 insertions(+), 121 deletions(-)

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Package BMRMM updated to version 1.0.1 with previous version 1.0.0 dated 2023-06-19

Title: An Implementation of the Bayesian Markov (Renewal) Mixed Models
Description: The Bayesian Markov renewal mixed models take sequentially observed categorical data with continuous duration times, being either state duration or inter-state duration. These models comprehensively analyze the stochastic dynamics of both state transitions and duration times under the influence of multiple exogenous factors and random individual effect. The default setting flexibly models the transition probabilities using Dirichlet mixtures and the duration times using gamma mixtures. It also provides the flexibility of modeling the categorical sequences using Bayesian Markov mixed models alone, either ignoring the duration times altogether or dividing duration time into multiples of an additional category in the sequence by a user-specific unit. The package allows extensive inference of the state transition probabilities and the duration times as well as relevant plots and graphs. It also includes a synthetic data set to demonstrate the desired format of input data set and the utilit [...truncated...]
Author: Yutong Wu [aut, cre], Abhra Sarkar [aut]
Maintainer: Yutong Wu <yutong.wu@utexas.edu>

Diff between BMRMM versions 1.0.0 dated 2023-06-19 and 1.0.1 dated 2024-04-22

 DESCRIPTION                   |    6 +++---
 MD5                           |   16 ++++++++--------
 R/BMRMM.R                     |   12 +++++++-----
 R/model_cont_isi.R            |    7 +++++--
 R/model_transition.R          |    6 +++++-
 R/print_and_plot_results.R    |   12 ++++++------
 R/print_and_plot_results_fn.R |    7 +++++--
 man/BMRMM.Rd                  |   12 +++++++-----
 man/summary.BMRMM.Rd          |   12 ++++++------
 9 files changed, 52 insertions(+), 38 deletions(-)

More information about BMRMM at CRAN
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