Thu, 09 Mar 2023

Package tidytable updated to version 0.10.0 with previous version 0.9.2 dated 2023-01-13

Title: Tidy Interface to 'data.table'
Description: A tidy interface to 'data.table', giving users the speed of 'data.table' while using tidyverse-like syntax.
Author: Mark Fairbanks [aut, cre], Abdessabour Moutik [ctb], Matt Carlson [ctb], Ivan Leung [ctb], Ross Kennedy [ctb], Robert On [ctb], Alexander Sevostianov [ctb], Koen ter Berg [ctb]
Maintainer: Mark Fairbanks <mark.t.fairbanks@gmail.com>

Diff between tidytable versions 0.9.2 dated 2023-01-13 and 0.10.0 dated 2023-03-09

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More information about tidytable at CRAN
Permanent link

Package secr updated to version 4.5.10 with previous version 4.5.8 dated 2022-11-29

Title: Spatially Explicit Capture-Recapture
Description: Functions to estimate the density and size of a spatially distributed animal population sampled with an array of passive detectors, such as traps, or by searching polygons or transects. Models incorporating distance-dependent detection are fitted by maximizing the likelihood. Tools are included for data manipulation and model selection.
Author: Murray Efford [aut, cre]
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

Diff between secr versions 4.5.8 dated 2022-11-29 and 4.5.10 dated 2023-03-09

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More information about secr at CRAN
Permanent link

Package RblDataLicense updated to version 0.2.5 with previous version 0.2.4 dated 2021-07-29

Title: R Interface to 'Bloomberg Data License'
Description: R interface to access prices and market data with the 'Bloomberg Data License' service from <https://www.bloomberg.com/professional/product/data-license/>. As a prerequisite, a valid Data License from 'Bloomberg' is needed together with the corresponding SFTP credentials and whitelisting of the IP from which accessing the service. This software and its author are in no way affiliated, endorsed, or approved by 'Bloomberg' or any of its affiliates. 'Bloomberg' is a registered trademark.
Author: Emanuele Guidotti [aut, cre]
Maintainer: Emanuele Guidotti <emanuele.guidotti@unine.ch>

Diff between RblDataLicense versions 0.2.4 dated 2021-07-29 and 0.2.5 dated 2023-03-09

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Package openssl updated to version 2.0.6 with previous version 2.0.5 dated 2022-12-05

Title: Toolkit for Encryption, Signatures and Certificates Based on OpenSSL
Description: Bindings to OpenSSL libssl and libcrypto, plus custom SSH key parsers. Supports RSA, DSA and EC curves P-256, P-384, P-521, and curve25519. Cryptographic signatures can either be created and verified manually or via x509 certificates. AES can be used in cbc, ctr or gcm mode for symmetric encryption; RSA for asymmetric (public key) encryption or EC for Diffie Hellman. High-level envelope functions combine RSA and AES for encrypting arbitrary sized data. Other utilities include key generators, hash functions (md5, sha1, sha256, etc), base64 encoder, a secure random number generator, and 'bignum' math methods for manually performing crypto calculations on large multibyte integers.
Author: Jeroen Ooms [aut, cre] , Oliver Keyes [ctb]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between openssl versions 2.0.5 dated 2022-12-05 and 2.0.6 dated 2023-03-09

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Package gridSVG updated to version 1.7-5 with previous version 1.7-4 dated 2022-03-01

Title: Export 'grid' Graphics as SVG
Description: Functions to export graphics drawn with package grid to SVG format. Additional functions provide access to SVG features that are not available in standard R graphics, such as hyperlinks, animation, filters, masks, clipping paths, and gradient and pattern fills.
Author: Paul Murrell [cre, aut], Simon Potter [aut]
Maintainer: Paul Murrell <paul@stat.auckland.ac.nz>

Diff between gridSVG versions 1.7-4 dated 2022-03-01 and 1.7-5 dated 2023-03-09

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Permanent link

Package desplot updated to version 1.10 with previous version 1.9 dated 2021-10-29

Title: Plotting Field Plans for Agricultural Experiments
Description: A function for plotting maps of agricultural field experiments that are laid out in grids. See Ryder (1981) <doi:10.1017/S0014479700011601>.
Author: Kevin Wright [aut, cre]
Maintainer: Kevin Wright <kw.stat@gmail.com>

Diff between desplot versions 1.9 dated 2021-10-29 and 1.10 dated 2023-03-09

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Package magick updated to version 2.7.4 with previous version 2.7.3 dated 2021-08-18

Title: Advanced Graphics and Image-Processing in R
Description: Bindings to 'ImageMagick': the most comprehensive open-source image processing library available. Supports many common formats (png, jpeg, tiff, pdf, etc) and manipulations (rotate, scale, crop, trim, flip, blur, etc). All operations are vectorized via the Magick++ STL meaning they operate either on a single frame or a series of frames for working with layers, collages, or animation. In RStudio images are automatically previewed when printed to the console, resulting in an interactive editing environment. The latest version of the package includes a native graphics device for creating in-memory graphics or drawing onto images using pixel coordinates.
Author: Jeroen Ooms [aut, cre]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between magick versions 2.7.3 dated 2021-08-18 and 2.7.4 dated 2023-03-09

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Package calculus updated to version 1.0.1 with previous version 1.0.0 dated 2022-09-26

Title: High Dimensional Numerical and Symbolic Calculus
Description: Efficient C++ optimized functions for numerical and symbolic calculus as described in Guidotti (2022) <doi:10.18637/jss.v104.i05>. It includes basic arithmetic, tensor calculus, Einstein summing convention, fast computation of the Levi-Civita symbol and generalized Kronecker delta, Taylor series expansion, multivariate Hermite polynomials, high-order derivatives, ordinary differential equations, differential operators (Gradient, Jacobian, Hessian, Divergence, Curl, Laplacian) and numerical integration in arbitrary orthogonal coordinate systems: cartesian, polar, spherical, cylindrical, parabolic or user defined by custom scale factors.
Author: Emanuele Guidotti [aut, cre]
Maintainer: Emanuele Guidotti <emanuele.guidotti@unine.ch>

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Package rstantools updated to version 2.3.0 with previous version 2.2.0 dated 2022-04-08

Title: Tools for Developing R Packages Interfacing with 'Stan'
Description: Provides various tools for developers of R packages interfacing with 'Stan' <https://mc-stan.org>, including functions to set up the required package structure, S3 generics and default methods to unify function naming across 'Stan'-based R packages, and vignettes with recommendations for developers.
Author: Jonah Gabry [aut, cre], Ben Goodrich [aut], Martin Lysy [aut], Andrew Johnson [aut], Hamada S. Badr [ctb], Marco Colombo [ctb], Stefan Siegert [ctb], Trustees of Columbia University [cph]
Maintainer: Jonah Gabry <jsg2201@columbia.edu>

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Package rdflib updated to version 0.2.6 with previous version 0.2.5 dated 2022-02-09

Title: Tools to Manipulate and Query Semantic Data
Description: The Resource Description Framework, or 'RDF' is a widely used data representation model that forms the cornerstone of the Semantic Web. 'RDF' represents data as a graph rather than the familiar data table or rectangle of relational databases. The 'rdflib' package provides a friendly and concise user interface for performing common tasks on 'RDF' data, such as reading, writing and converting between the various serializations of 'RDF' data, including 'rdfxml', 'turtle', 'nquads', 'ntriples', and 'json-ld'; creating new 'RDF' graphs, and performing graph queries using 'SPARQL'. This package wraps the low level 'redland' R package which provides direct bindings to the 'redland' C library. Additionally, the package supports the newer and more developer friendly 'JSON-LD' format through the 'jsonld' package. The package interface takes inspiration from the Python 'rdflib' library.
Author: Carl Boettiger [aut, cre, cph] , Bryce Mecum [rev] , Anna Krystalli [rev] , Viktor Senderov [ctb]
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package samplingR updated to version 0.1.1 with previous version 0.1.0 dated 2023-02-24

Title: Sampling and Estimation Methods
Description: Functions to take samples of data, sample size estimation and getting useful estimators such as total, mean, proportion about its population using simple random sampling.
Author: Javier Estevez [aut, cre, cph]
Maintainer: Javier Estevez <javier.estase@gmail.com>

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Package gamboostLSS updated to version 2.0-7 with previous version 2.0-6 dated 2022-05-11

Title: Boosting Methods for 'GAMLSS'
Description: Boosting models for fitting generalized additive models for location, shape and scale ('GAMLSS') to potentially high dimensional data.
Author: Benjamin Hofner [aut, cre] , Andreas Mayr [aut], Nora Fenske [aut], Janek Thomas [aut], Matthias Schmid [aut]
Maintainer: Benjamin Hofner <benjamin.hofner@pei.de>

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Package fsdaR updated to version 0.8-1 with previous version 0.8-0 dated 2022-08-11

Title: Robust Data Analysis Through Monitoring and Dynamic Visualization
Description: Provides interface to the 'MATLAB' toolbox 'Flexible Statistical Data Analysis (FSDA)' which is comprehensive and computationally efficient software package for robust statistics in regression, multivariate and categorical data analysis. The current R version implements tools for regression: (forward search, S- and MM-estimation, least trimmed squares (LTS) and least median of squares (LMS)), for multivariate analysis (forward search, S- and MM-estimation), for cluster analysis and cluster-wise regression. The distinctive feature of our package is the possibility of monitoring the statistics of interest as a function of breakdown point, efficiency or subset size, depending on the estimator. This is accompanied by a rich set of graphical features, such as dynamic brushing, linking, particularly useful for exploratory data analysis.
Author: Valentin Todorov [aut, cre] , Emmanuele Sordini [aut], Aldo Corbellini [ctb], Francesca Torti [ctb], Marco Riani [ctb], Domenico Perrotta [ctb], Andrea Cerioli [ctb]
Maintainer: Valentin Todorov <valentin.todorov@chello.at>

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Package slendr updated to version 0.5.1 with previous version 0.5.0 dated 2023-02-02

Title: A Simulation Framework for Spatiotemporal Population Genetics
Description: A framework for simulating spatially explicit genomic data which leverages real cartographic information for programmatic and visual encoding of spatiotemporal population dynamics on real geographic landscapes. Population genetic models are then automatically executed by the 'SLiM' software by Haller et al. (2019) <doi:10.1093/molbev/msy228> behind the scenes, using a custom built-in simulation 'SLiM' script. Additionally, fully abstract spatial models not tied to a specific geographic location are supported, and users can also simulate data from standard, non-spatial, random-mating models. These can be simulated either with the 'SLiM' built-in back-end script, or using an efficient coalescent population genetics simulator 'msprime' by Baumdicker et al. (2022) <doi:10.1093/genetics/iyab229> with a custom-built 'Python' script bundled with the R package. Simulated genomic data is saved in a tree-sequence format and can be loaded, manipulated, and summarised using tree-sequen [...truncated...]
Author: Martin Petr [aut, cre]
Maintainer: Martin Petr <contact@bodkan.net>

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Package ympes updated to version 0.4.0 with previous version 0.3.0 dated 2023-01-05

Title: Collection of Helper Functions
Description: Provides a collection of lightweight helper functions (imps) both for interactive use and for inclusion within other packages. These include minimal assertion functions with a focus on informative error messaging for both missing and incorrect function arguments as well as other functions for visualising colour palettes, quoting user input and searching rows of a data frame.
Author: Tim Taylor [aut, cre, cph]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

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Package rang updated to version 0.2.0 with previous version 0.1.0 dated 2023-02-16

Title: Reconstructing Reproducible R Computational Environments
Description: Resolve the dependency graph of R packages at a specific time point based on the information from various 'R-hub' web services <https://blog.r-hub.io/>. The dependency graph can then be used to reconstruct the R computational environment with 'Rocker' <https://rocker-project.org>.
Author: Chung-hong Chan [aut, cre] , David Schoch [aut]
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>

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Package gRain updated to version 1.3.13 with previous version 1.3.12 dated 2022-11-17

Title: Graphical Independence Networks
Description: Probability propagation in graphical independence networks, also known as Bayesian networks or probabilistic expert systems. Documentation of the package is provided in vignettes included in the package and in the paper by Højsgaard (2012, <doi:10.18637/jss.v046.i10>). See 'citation("gRain")' for details.
Author: Soeren Hoejsgaard <sorenh@math.aau.dk>
Maintainer: Soeren Hoejsgaard <sorenh@math.aau.dk>

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Package easyr updated to version 0.5-11 with previous version 0.5-10 dated 2022-10-27

Title: Helpful Functions from Oliver Wyman Actuarial Consulting
Description: Makes difficult operations easy. Includes these types of functions: shorthand, type conversion, data wrangling, and work flow. Also includes some helpful data objects: NA strings, U.S. state list, color blind charting colors. Built and shared by Oliver Wyman Actuarial Consulting. Accepting proposed contributions through GitHub.
Author: Oliver Wyman Actuarial Consulting [aut, cph], Bryce Chamberlain [aut, cre], Rajesh Sahasrabuddhe [ctb]
Maintainer: Bryce Chamberlain <bryce.chamberlain@oliverwyman.com>

Diff between easyr versions 0.5-10 dated 2022-10-27 and 0.5-11 dated 2023-03-09

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Package cna updated to version 3.5.1 with previous version 3.5.0 dated 2023-02-17

Title: Causal Modeling with Coincidence Analysis
Description: Provides comprehensive functionalities for causal modeling with Coincidence Analysis (CNA), which is a configurational comparative method of causal data analysis that was first introduced in Baumgartner (2009) <doi:10.1177/0049124109339369>, and generalized in Baumgartner & Ambuehl (2018) <doi:10.1017/psrm.2018.45>. CNA is designed to recover INUS-causation from data, which is particularly relevant for analyzing processes featuring conjunctural causation (component causation) and equifinality (alternative causation). CNA is currently the only method for INUS-discovery that allows for multiple effects (outcomes/endogenous factors), meaning it can analyze common-cause and causal chain structures.
Author: Mathias Ambuehl [aut, cre, cph], Michael Baumgartner [aut, cph], Ruedi Epple [ctb], Veli-Pekka Parkkinen [ctb], Alrik Thiem [ctb]
Maintainer: Mathias Ambuehl <mathias.ambuehl@consultag.ch>

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Package MSCMT updated to version 1.3.6 with previous version 1.3.5 dated 2023-02-01

Title: Multivariate Synthetic Control Method Using Time Series
Description: Three generalizations of the synthetic control method (which has already an implementation in package 'Synth') are implemented: first, 'MSCMT' allows for using multiple outcome variables, second, time series can be supplied as economic predictors, and third, a well-defined cross-validation approach can be used. Much effort has been taken to make the implementation as stable as possible (including edge cases) without losing computational efficiency. A detailed description of the main algorithms is given in Becker and Klößner (2018) <doi:10.1016/j.ecosta.2017.08.002>.
Author: Martin Becker [aut, cre] , Stefan Kloeßner [aut], Karline Soetaert [com], Jack Dongarra [cph], R.J. Hanson [cph], K.H. Haskell [cph], Cleve Moler [cph], LAPACK authors [cph]
Maintainer: Martin Becker <martin.becker@mx.uni-saarland.de>

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Package diffval updated to version 1.1.0 with previous version 1.0.0 dated 2022-11-14

Title: Vegetation Patterns
Description: Find, visualize and explore patterns of differential taxa in vegetation data (namely in a phytosociological table), using the Differential Value (DiffVal). Patterns are searched through mathematical optimization algorithms. Ultimately, Total Differential Value (TDV) optimization aims at obtaining classifications of vegetation data based on differential taxa, as in the traditional geobotanical approach. The Gurobi optimizer, as well as the R package 'gurobi', can be installed from <https://www.gurobi.com/products/gurobi-optimizer/>. The useful vignette Gurobi Installation Guide, from package 'prioritizr', can be found here: <https://prioritizr.net/articles/gurobi_installation_guide.html>.
Author: Tiago Monteiro-Henriques [aut, cre] , Jorge Orestes Cerdeira [aut] , Fundacao para a Ciencia e a Tecnologia, Portugal [fnd]
Maintainer: Tiago Monteiro-Henriques <tmh.dev@icloud.com>

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Package watson updated to version 0.2 with previous version 0.1 dated 2022-10-12

Title: Fitting and Simulating Mixtures of Watson Distributions
Description: Tools for fitting and simulating mixtures of Watson distributions. The random sampling scheme of the package offers two sampling algorithms that are based of the results of Sablica, Hornik and Leydold (2022) <https://research.wu.ac.at/en/publications/random-sampling-from-the-watson-distribution>. What is more, the package offers a smart tool to combine these two methods, and based on the selected parameters, it approximates the relative sampling speed for both methods and picks the faster one. In addition, the package offers a fitting function for the mixtures of Watson distribution, that uses the expectation-maximization (EM) algorithm. Special features are the possibility to use multiple variants of the E-step and M-step, sparse matrices for the data representation and state of the art methods for numerical evaluation of needed special functions using the results of Sablica and Hornik (2022) <https://www.ams.org/journals/mcom/2022-91-334/S0025-5718-2021-03690-X/>.
Author: Lukas Sablica [aut, cre] , Kurt Hornik [aut] , Josef Leydold [aut], Gerard Jungman [ctb, cph] , Brian Gough [ctb, cph]
Maintainer: Lukas Sablica <lsablica@wu.ac.at>

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Package VGAM updated to version 1.1-8 with previous version 1.1-7 dated 2022-07-06

Title: Vector Generalized Linear and Additive Models
Description: An implementation of about 6 major classes of statistical regression models. The central algorithm is Fisher scoring and iterative reweighted least squares. At the heart of this package are the vector generalized linear and additive model (VGLM/VGAM) classes. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are data-driven VGLMs that use smoothing. The book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) <DOI:10.1007/978-1-4939-2818-7> gives details of the statistical framework and the package. Currently only fixed-effects models are implemented. Many (100+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE. The other classes are RR-VGLMs (reduced-rank VGLMs), quadratic RR-VGLMs, reduced-rank VGAMs, RCIMs (row-column interaction models)---these classes perform constrained and unconstrained quadratic ordination (CQO/UQO) models in ecology, as well as constrained additive ordination (CA [...truncated...]
Author: Thomas Yee [aut, cre] , Cleve Moler [ctb]
Maintainer: Thomas Yee <t.yee@auckland.ac.nz>

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Package restatapi updated to version 0.20.6 with previous version 0.20.3 dated 2023-02-24

Title: Search and Retrieve Data from Eurostat Database
Description: Eurostat is the statistical office of the European Union and provides high quality statistics for Europe. Large set of the data is disseminated through the Eurostat database (<https://ec.europa.eu/eurostat/web/main/data/database>). The tools are using the REST API with the Statistical Data and Metadata eXchange (SDMX) Web Services (<https://wikis.ec.europa.eu/pages/viewpage.action?pageId=44165555>) to search and download data from the Eurostat database using the SDMX standard.
Author: Matyas Meszaros [aut, cre]
Maintainer: Matyas Meszaros <matyas.meszaros@ec.europa.eu>

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Package RcppColors updated to version 0.3.0 with previous version 0.2.0 dated 2023-02-11

Title: 'C++' Header Files for Color Conversion and Color Mappings
Description: Provides 'C++' header files to deal with color conversion from some color spaces to hexadecimal with 'Rcpp', and exports some color mapping functions for usage in R. Also exports functions to convert colors from the 'HSLuv' color space for usage in R. 'HSLuv' is a human-friendly alternative to HSL.
Author: Stephane Laurent [cre, aut], Scott Spencer [aut]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

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Package lidR updated to version 4.0.3 with previous version 4.0.2 dated 2022-12-15

Title: Airborne LiDAR Data Manipulation and Visualization for Forestry Applications
Description: Airborne LiDAR (Light Detection and Ranging) interface for data manipulation and visualization. Read/write 'las' and 'laz' files, computation of metrics in area based approach, point filtering, artificial point reduction, classification from geographic data, normalization, individual tree segmentation and other manipulations.
Author: Jean-Romain Roussel [aut, cre, cph], David Auty [aut, ctb] , Florian De Boissieu [ctb] , Andrew Sanchez Meador [ctb] for segment_snags), Bourdon Jean-Francois [ctb] for track_sensor), Gatziolis Demetrios [ctb] for track_sensor), Leon Steinmeier [c [...truncated...]
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1@ulaval.ca>

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Package ipred updated to version 0.9-14 with previous version 0.9-13 dated 2022-06-02

Title: Improved Predictors
Description: Improved predictive models by indirect classification and bagging for classification, regression and survival problems as well as resampling based estimators of prediction error.
Author: Andrea Peters [aut], Torsten Hothorn [aut, cre], Brian D. Ripley [ctb], Terry Therneau [ctb], Beth Atkinson [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package grImport updated to version 0.9-7 with previous version 0.9-5 dated 2021-11-01

Title: Importing Vector Graphics
Description: Functions for converting, importing, and drawing PostScript pictures in R plots.
Author: Paul Murrell [aut, cre], Richard Walton [aut], Simon Potter [ctb], Tomas Kalibera [ctb], Harold Gutch [ctb]
Maintainer: Paul Murrell <p.murrell@auckland.ac.nz>

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Package fuzzyreg updated to version 0.6.1 with previous version 0.6 dated 2022-03-02

Title: Fuzzy Linear Regression
Description: Estimators for fuzzy linear regression. The functions estimate parameters of fuzzy linear regression models with crisp or fuzzy independent variables (triangular fuzzy numbers are supported). Implements multiple methods for parameter estimation and algebraic operations with triangular fuzzy numbers. Includes functions for summarising, printing and plotting the model fit. Calculates predictions from the model and total error of fit. Individual methods are described in Diamond (1988) <doi:10.1016/0020-0255(88)90047-3>, Hung & Yang (2006) <doi:10.1016/j.fss.2006.08.004>, Lee & Tanaka (1999) <doi:10.15807/jorsj.42.98>, Nasrabadi, Nasrabadi & Nasrabady (2005) <doi:10.1016/j.amc.2004.02.008>, Skrabanek, Marek & Pozdilkova (2021) <doi:10.3390/math9060685>, Tanaka, Hayashi & Watada (1989) <doi:10.1016/0377-2217(89)90431-1>, Zeng, Feng & Li (2017) <doi:10.1016/j.asoc.2016.09.029>.
Author: Pavel Skrabanek [aut, cph], Natalia Martinkova [aut, cre, cph]
Maintainer: Natalia Martinkova <martinkova@ivb.cz>

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Package eks updated to version 1.0.3 with previous version 1.0.2 dated 2022-11-29

Title: Tidy and Geospatial Kernel Smoothing
Description: Extensions of the kernel smoothing functions from the 'ks' package for compatibility with the tidyverse and geospatial ecosystems <doi:10.48550/arXiv.2203.01686>.
Author: Tarn Duong [aut, cre]
Maintainer: Tarn Duong <tarn.duong@gmail.com>

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Package tram updated to version 0.8-1 with previous version 0.8-0 dated 2022-11-02

Title: Transformation Models
Description: Formula-based user-interfaces to specific transformation models implemented in package 'mlt'. Available models include Cox models, some parametric survival models (Weibull, etc.), models for ordered categorical variables, normal and non-normal (Box-Cox type) linear models, and continuous outcome logistic regression (Lohse et al., 2017, <DOI:10.12688/f1000research.12934.1>). The underlying theory is described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291>. An extension to transformation models for clustered data is provided (Barbanti and Hothorn, 2022, <arxiv:1910.09219>). Multivariate conditional transformation models (Klein et al, 2022, <DOI:10.1111/sjos.12501>) can be fitted as well.
Author: Torsten Hothorn [aut, cre] , Luisa Barbanti [aut] , Sandra Siegfried [aut] , Brian Ripley [ctb], Bill Venables [ctb], Douglas M. Bates [ctb], Nadja Klein [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package topr updated to version 1.1.4 with previous version 1.1.3 dated 2023-02-12

Title: Create Custom Plots for Viewing Genetic Association Results
Description: A collection of functions for visualizing,exploring and annotating genetic association results.Association results from multiple traits can be viewed simultaneously along with gene annotation, over the entire genome (Manhattan plot) or in the more detailed regional view.
Author: Thorhildur Juliusdottir [cph, aut, cre], Andri Stefansson [aut]
Maintainer: Thorhildur Juliusdottir <totajuliusd@gmail.com>

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Package RPresto updated to version 1.4.4 with previous version 1.4.3 dated 2023-03-03

Title: DBI Connector to Presto
Description: Implements a 'DBI' compliant interface to Presto. Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes: <https://prestodb.io/>.
Author: Onur Ismail Filiz [aut], Sergey Goder [aut], Jarod G.R. Meng [aut, cre], Thomas J. Leeper [ctb], John Myles White [ctb]
Maintainer: Jarod G.R. Meng <jarodm@fb.com>

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Package partykit updated to version 1.2-18 with previous version 1.2-17 dated 2023-02-28

Title: A Toolkit for Recursive Partytioning
Description: A toolkit with infrastructure for representing, summarizing, and visualizing tree-structured regression and classification models. This unified infrastructure can be used for reading/coercing tree models from different sources ('rpart', 'RWeka', 'PMML') yielding objects that share functionality for print()/plot()/predict() methods. Furthermore, new and improved reimplementations of conditional inference trees (ctree()) and model-based recursive partitioning (mob()) from the 'party' package are provided based on the new infrastructure. A description of this package was published by Hothorn and Zeileis (2015) <https://jmlr.org/papers/v16/hothorn15a.html>.
Author: Torsten Hothorn [aut, cre] , Heidi Seibold [ctb] , Achim Zeileis [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package multcomp updated to version 1.4-23 with previous version 1.4-22 dated 2023-02-10

Title: Simultaneous Inference in General Parametric Models
Description: Simultaneous tests and confidence intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models. The package includes demos reproducing analyzes presented in the book "Multiple Comparisons Using R" (Bretz, Hothorn, Westfall, 2010, CRC Press).
Author: Torsten Hothorn [aut, cre] , Frank Bretz [aut], Peter Westfall [aut], Richard M. Heiberger [ctb], Andre Schuetzenmeister [ctb], Susan Scheibe [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package gpboost updated to version 1.0.0 with previous version 0.8.2 dated 2023-02-17

Title: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
Description: An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2022, JMLR) <https://www.jmlr.org/papers/v23/20-322.html> and Sigrist (2023, TPAMI) <doi:10.1109/TPAMI.2022.3168152> for more information on the methodology.
Author: Fabio Sigrist [aut, cre], Benoit Jacob [cph], Gael Guennebaud [cph], Nicolas Carre [cph], Pierre Zoppitelli [cph], Gauthier Brun [cph], Jean Ceccato [cph], Jitse Niesen [cph], Other authors of Eigen for the included version of Eigen [ctb, cph], Timot [...truncated...]
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>

Diff between gpboost versions 0.8.2 dated 2023-02-17 and 1.0.0 dated 2023-03-09

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Package asremlPlus updated to version 4.3.50 with previous version 4.3.49 dated 2023-03-03

Title: Augments 'ASReml-R' in Fitting Mixed Models and Packages Generally in Exploring Prediction Differences
Description: Assists in automating the selection of terms to include in mixed models when 'asreml' is used to fit the models. Also used to display, in tables and graphs, predictions obtained using any model fitting function and to explore differences between predictions. The content falls into the following natural groupings: (i) Data, (ii) Object manipulation functions, (iii) Model modification functions, (iv) Model testing functions, (v) Model diagnostics functions, (vi) Prediction production and presentation functions, (vii) Response transformation functions, and (viii) Miscellaneous functions (for further details see 'asremlPlus-package' in help). A history of the fitting of a sequence of models is kept in a data frame. Procedures are available for choosing models that conform to the hierarchy or marginality principle and for displaying predictions for significant terms in tables and graphs. The 'asreml' package provides a computationally efficient algorithm for fitting mixed models using Resi [...truncated...]
Author: Chris Brien [aut, cre]
Maintainer: Chris Brien <chris.brien@adelaide.edu.au>

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Package inum updated to version 1.0-5 with previous version 1.0-4 dated 2021-04-12

Title: Interval and Enum-Type Representation of Vectors
Description: Enum-type representation of vectors and representation of intervals, including a method of coercing variables in data frames.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package countdata updated to version 1.3 with previous version 1.2 dated 2021-09-14

Title: The Beta-Binomial Test for Count Data
Description: The beta-binomial test is used for significance analysis of independent samples by Pham et al. (2010) <doi:10.1093/bioinformatics/btp677>. The inverted beta-binomial test is used for paired sample testing, e.g. pre-treatment and post-treatment data, by Pham and Jimenez (2012) <doi:10.1093/bioinformatics/bts394>.
Author: Thang Pham [aut, cre, cph, ctb]
Maintainer: Thang Pham <t.pham@amsterdamumc.nl>

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Package SDMtune updated to version 1.2.1 with previous version 1.2.0 dated 2022-12-14

Title: Species Distribution Model Selection
Description: User-friendly framework that enables the training and the evaluation of species distribution models (SDMs). The package implements functions for data driven variable selection and model tuning and includes numerous utilities to display the results. All the functions used to select variables or to tune model hyperparameters have an interactive real-time chart displayed in the 'RStudio' viewer pane during their execution.
Author: Sergio Vignali [aut, cre] , Arnaud Barras [aut] , Veronika Braunisch [aut] , Conservation Biology - University of Bern [fnd]
Maintainer: Sergio Vignali <sergio.vignali@unibe.ch>

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Package mlt updated to version 1.4-5 with previous version 1.4-3 dated 2022-10-31

Title: Most Likely Transformations
Description: Likelihood-based estimation of conditional transformation models via the most likely transformation approach described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291> and Hothorn (2020) <DOI:10.18637/jss.v092.i01>.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between mlt versions 1.4-3 dated 2022-10-31 and 1.4-5 dated 2023-03-09

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Package autoshiny updated to version 0.0.3 with previous version 0.0.2 dated 2018-06-25

Title: Automatic Transformation of an 'R' Function into a 'shiny' App
Description: Static code compilation of a 'shiny' app given an R function (into 'ui.R' and 'server.R' files or into a 'shiny' app object). See examples at <https://github.com/alekrutkowski/autoshiny>.
Author: Aleksander Rutkowski [aut, cre]
Maintainer: Aleksander Rutkowski <alek.rutkowski@gmail.com>

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Package tsfknn updated to version 0.5.1 with previous version 0.5.0 dated 2021-04-05

Title: Time Series Forecasting Using Nearest Neighbors
Description: Allows to forecast time series using nearest neighbors regression Francisco Martinez, Maria P. Frias, Maria D. Perez-Godoy and Antonio J. Rivera (2019) <doi:10.1007/s10462-017-9593-z>. When the forecasting horizon is higher than 1, two multi-step ahead forecasting strategies can be used. The model built is autoregressive, that is, it is only based on the observations of the time series. The nearest neighbors used in a prediction can be consulted and plotted.
Author: Francisco Martinez [aut, cre]
Maintainer: Francisco Martinez <fmartin@ujaen.es>

Diff between tsfknn versions 0.5.0 dated 2021-04-05 and 0.5.1 dated 2023-03-09

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Package tempdisagg updated to version 1.1 with previous version 1.0 dated 2020-02-07

Title: Methods for Temporal Disaggregation and Interpolation of Time Series
Description: Temporal disaggregation methods are used to disaggregate and interpolate a low frequency time series to a higher frequency series, where either the sum, the mean, the first or the last value of the resulting high frequency series is consistent with the low frequency series. Temporal disaggregation can be performed with or without one or more high frequency indicator series. Contains the methods of Chow-Lin, Santos-Silva-Cardoso, Fernandez, Litterman, Denton and Denton-Cholette, summarized in Sax and Steiner (2013) <doi:10.32614/RJ-2013-028>. Supports most R time series classes.
Author: Christoph Sax [aut, cre] , Peter Steiner [aut], Tommaso Di Fonzo [ctb]
Maintainer: Christoph Sax <christoph.sax@gmail.com>

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New package TapeS with initial version 0.12.0
Package: TapeS
Title: Tree Taper Curves and Sorting Based on 'TapeR'
Version: 0.12.0
Description: Providing new german-wide 'TapeR' Models and functions for their evaluation. Included are the most common tree species in Germany (Norway spruce, Scots pine, European larch, Douglas fir, Silver fir as well as European beech, Common/Sessile oak and Red oak). Many other species are mapped to them so that 36 tree species / groups can be processed. Single trees are defined by species code, one or multiple diameters in arbitrary measuring height and tree height. The functions then provide information on diameters along the stem, bark thickness, height of diameters, volume of the total or parts of the trunk and total and component above-ground biomass. It is also possible to calculate assortments from the taper curves. For diameter and volume estimation, uncertainty information is given.
Depends: R (>= 3.5.0)
License: BSD_2_clause + file LICENSE
URL: https://gitlab.com/vochr/tapes
Encoding: UTF-8
LazyData: true
Imports: methods, utils, TapeR (>= 0.5.2), Rcpp (>= 1.0.5),
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, knitr, rmarkdown, rbenchmark, rBDAT (>= 0.10.0), RODBC
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-03-08 16:46:41 UTC; Christian.Vonderach
Author: Christian Vonderach [aut, cre], Edgar Kublin [aut], Gerald Kaendler [aut]
Maintainer: Christian Vonderach <christian.vonderach@forst.bwl.de>
Repository: CRAN
Date/Publication: 2023-03-09 09:50:09 UTC

More information about TapeS at CRAN
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Package smoothr updated to version 1.0.1 with previous version 1.0.0 dated 2023-01-09

Title: Smooth and Tidy Spatial Features
Description: Tools for smoothing and tidying spatial features (i.e. lines and polygons) to make them more aesthetically pleasing. Smooth curves, fill holes, and remove small fragments from lines and polygons.
Author: Matthew Strimas-Mackey [aut, cre]
Maintainer: Matthew Strimas-Mackey <mstrimas@gmail.com>

Diff between smoothr versions 1.0.0 dated 2023-01-09 and 1.0.1 dated 2023-03-09

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More information about smoothr at CRAN
Permanent link

New package lorem with initial version 1.0.0
Package: lorem
Title: Generate Lorem Ipsum Text
Version: 1.0.0
Description: Quickly generate lorem ipsum placeholder text. Easy to integrate in RMarkdown documents. Includes an RStudio addin to insert lorem ipsum into the current document.
License: MIT + file LICENSE
URL: https://github.com/gadenbuie/lorem, http://pkg.garrickadenbuie.com/lorem/
BugReports: https://github.com/gadenbuie/lorem/issues
Depends: R (>= 2.10)
Imports: htmltools, knitr, stats
Suggests: rstudioapi, testthat (>= 3.0.0), withr
Config/Needs/website: gadenbuie/grkgdown
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-03-09 04:09:28 UTC; garrick
Author: Garrick Aden-Buie [aut, cre]
Maintainer: Garrick Aden-Buie <garrick@adenbuie.com>
Repository: CRAN
Date/Publication: 2023-03-09 09:40:06 UTC

More information about lorem at CRAN
Permanent link

Package exvatools updated to version 0.3.0 with previous version 0.2.0 dated 2023-01-20

Title: Value Added in Exports and Other Input-Output Table Analysis Tools
Description: Analysis of trade in value added with international input-output tables. Includes commands for easy data extraction, matrix manipulation, decomposition of value added in gross exports and calculation of value added indicators, with full geographical and sector customization. Decomposition methods include Borin and Mancini (2023) <doi:10.1080/09535314.2022.2153221>, Miroudot and Ye (2021) <doi:10.1080/09535314.2020.1730308>, Wang et al. (2013) <https://econpapers.repec.org/paper/nbrnberwo/19677.htm> and Koopman et al. (2014) <doi:10.1257/aer.104.2.459>.
Author: Enrique Feas [aut, cre]
Maintainer: Enrique Feas <efeas@runbox.com>

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Package CDMConnector updated to version 0.5.0 with previous version 0.4.1 dated 2023-01-24

Title: Connect to an OMOP Common Data Model
Description: Provides tools for working with observational health data in the Observational Medical Outcomes Partnership (OMOP) Common Data Model format with a pipe friendly syntax. Common data model database table references are stored in a single compound object along with metadata.
Author: Adam Black [aut, cre] , Artem Gorbachev [aut], Edward Burn [aut], Marti Catala Sabate [aut]
Maintainer: Adam Black <black@ohdsi.org>

Diff between CDMConnector versions 0.4.1 dated 2023-01-24 and 0.5.0 dated 2023-03-09

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New package bayesROE with initial version 0.1
Package: bayesROE
Title: Bayesian Regions of Evidence
Version: 0.1
Description: Computation and visualization of Bayesian Regions of Evidence to systematically evaluate the sensitivity of a superiority or non-inferiority claim against any prior assumption of its assessors. Methodological details are elaborated by Hoefler and Miller (2023) <https://osf.io/jxnsv>. Besides generic functions, the package also provides an intuitive 'Shiny' application, that can be run in local R environments.
License: GPL (>= 3)
URL: https://github.com/waidschrat/bayesROE
BugReports: https://github.com/waidschrat/bayesROE/issues
Imports: colourpicker, config (>= 0.3.1), ggplot2, golem (>= 0.3.3), grDevices, scales, shiny (>= 1.7.2), shinyBS, stats
Suggests: spelling, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2023-03-09 07:14:52 UTC; MILLER63
Author: Robert Miller [cre, aut]
Maintainer: Robert Miller <robert.miller@tu-dresden.de>
Repository: CRAN
Date/Publication: 2023-03-09 09:50:06 UTC

More information about bayesROE at CRAN
Permanent link

New package bark with initial version 1.0.1
Package: bark
Title: Bayesian Additive Regression Kernels
Version: 1.0.1
Date: 2023-03-08
Description: Bayesian Additive Regression Kernels (BARK) provides an implementation for non-parametric function estimation using Levy Random Field priors for functions that may be represented as a sum of additive multivariate kernels. Kernels are located at every data point as in Support Vector Machines, however, coefficients may be heavily shrunk to zero under the Cauchy process prior, or even, set to zero. The number of active features is controlled by priors on precision parameters within the kernels, permitting feature selection. For more details see Ouyang, Z (2008) "Bayesian Additive Regression Kernels", Duke University. PhD dissertation, Chapter 3.
License: GPL (>= 3)
URL: https://www.R-project.org, https://github.com/merliseclyde/bark
BugReports: https://github.com/merliseclyde/bark/issues
Suggests: BART, e1071, rmarkdown, knitr, roxygen2, testthat, covr
Repository: CRAN
NeedsCompilation: yes
ByteCompile: yes
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
Packaged: 2023-03-09 03:58:01 UTC; clyde
Author: Merlise Clyde [aut, cre, ths] , Zhi Ouyang [aut], Robert Wolpert [ctb, ths]
Maintainer: Merlise Clyde <clyde@stat.duke.edu>
Date/Publication: 2023-03-09 09:40:09 UTC

More information about bark at CRAN
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New package waspasR with initial version 0.1.0
Package: waspasR
Title: Tool Kit to Implement a W.A.S.P.A.S. Based Multi-Criteria Decision Analysis Solution
Version: 0.1.0
Maintainer: Flavio Barbara <flavio.barbara@gmail.com>
Description: Provides a set of functions to implement decision-making systems based on the W.A.S.P.A.S. method (Weighted Aggregated Sum Product Assessment), Chakraborty and Zavadskas (2014) <doi:10.15388/Informatica.2014.01>. So this package offers functions that analyze and validate the raw data, which must be entered in a determined format; extract specific vectors and matrices from this raw database; normalize the input data; calculate rankings by intermediate methods; apply the lambda parameter for the main method; and a function that does everything at once. The package has an example database called choppers, with which the user can see how the input data should be organized so that everything works as recommended by the decision methods based on multiple criteria that this package solves. Basically, the data are composed of a set of alternatives, which will be ranked, a set of choice criteria, a matrix of values for each Alternative-Criterion relationship, a vector of weights associate [...truncated...]
License: GPL (>= 2)
Depends: R (>= 4.2.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2023-03-08 14:55:21 UTC; flavio
Author: Flavio Barbara [cre, aut], Marcos Santos [ctb]
Repository: CRAN
Date/Publication: 2023-03-09 08:50:02 UTC

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New package stringstatic with initial version 0.1.0
Package: stringstatic
Title: Dependency-Free String Operations
Version: 0.1.0
Description: Provides drop-in replacements for functions from the 'stringr' package, with the same user interface. These functions have no external dependencies and can be copied directly into your package code using the 'staticimports' package.
License: CC0
URL: https://github.com/rossellhayes/stringstatic
BugReports: https://github.com/rossellhayes/stringstatic/issues
Suggests: testthat (>= 3.0.0)
Config/Needs/roxygen: wch/staticimports
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-03-08 19:43:19 UTC; alex
Author: Alexander Rossell Hayes [aut, cre, cph] , Eli Pousson [ctb] and str_split functions), Hadley Wickham [ctb, cph] , RStudio [cph]
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>
Repository: CRAN
Date/Publication: 2023-03-09 09:00:03 UTC

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New package opensensmapr with initial version 0.6.0
Package: opensensmapr
Title: Client for the Data API of 'openSenseMap.org'
Version: 0.6.0
URL: https://github.com/sensebox/opensensmapR
BugReports: https://github.com/sensebox/opensensmapR/issues
Depends: R (>= 3.5.0)
Imports: dplyr, httr, digest, lazyeval, readr, purrr, magrittr
Suggests: maps, maptools, tibble, rgeos, sf, knitr, rmarkdown, lubridate, units, jsonlite, ggplot2, zoo, lintr, testthat, covr
Description: Download environmental measurements and sensor station metadata from the API of open data sensor web platform <https://opensensemap.org> for analysis in R. This platform provides real time data of more than 1500 low-cost sensor stations for PM10, PM2.5, temperature, humidity, UV-A intensity and more phenomena. The package aims to be compatible with 'sf' and the 'Tidyverse', and provides several helper functions for data exploration and transformation.
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-03-08 16:32:17 UTC; janst
Author: Norwin Roosen [aut], Daniel Nuest [ctb] , Jan Stenkamp [ctb, cre]
Maintainer: Jan Stenkamp <jan.stenkamp@uni-muenster.de>
Repository: CRAN
Date/Publication: 2023-03-09 09:00:07 UTC

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New package ogrdbstats with initial version 0.5.0
Package: ogrdbstats
Title: Analysis of Adaptive Immune Receptor Repertoire Germ Line Statistics
Version: 0.5.0
URL: https://github.com/airr-community/ogrdbstats
BugReports: https://github.com/airr-community/ogrdbstats/issues
Description: Multiple tools are now available for inferring the personalised germ line set from an adaptive immune receptor repertoire. Output from these tools is converted to a single format and supplemented with rich data such as usage and characterisation of 'novel' germ line alleles. This data can be particularly useful when considering the validity of novel inferences. Use of the analysis provided is described in <doi:10.3389/fimmu.2019.00435>.
License: CC BY-SA 4.0
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: dplyr (>= 0.8.3), ggplot2 (>= 3.2.1), magrittr, tigger (>= 0.4.0), alakazam (>= 0.3.0), stringr (>= 1.4.0), data.table, gridExtra (>= 2.3), tidyr (>= 1.0.0), stringdist (>= 0.9.5.2), RColorBrewer (>= 1.1-2), Biostrings (>= 2.52.0), argparser (>= 0.4), ComplexHeatmap, bookdown, scales,
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2023-03-08 14:31:00 UTC; William
Author: William Lees [aut, cre]
Maintainer: William Lees <william@lees.org.uk>
Repository: CRAN
Date/Publication: 2023-03-09 08:50:05 UTC

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New package fabR with initial version 1.1.0.1003
Package: fabR
Title: Wrapper Functions Collection Used in Data Pipelines
Version: 1.1.0.1003
Description: The goal of this package is to provide wrapper functions in the data cleaning and cleansing processes. These function helps in messages and interaction with the user, keep track of information in pipelines, help in the wrangling, munging, assessment and visualization of data frame-like material.
License: GPL-3
Depends: R (>= 3.4)
Imports: dplyr, magrittr, rlang, lubridate, ggplot2, digest, fs, janitor, tidytext, purrr, readr, readxl, stringr, tidyr, writexl, DT
URL: https://github.com/GuiFabre/fabR/
BugReports: https://github.com/GuiFabre/fabR/issues
Encoding: UTF-8
Suggests: knitr, rmarkdown, stats, haven, xlsx, viridis,
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2023-03-08 21:55:11 UTC; gfabre
Author: Guillaume Fabre [aut, cre], Maelstrom-Research [fnd]
Maintainer: Guillaume Fabre <guijoseph.fabre@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-09 09:00:11 UTC

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New package doudpackage with initial version 2.0.1
Package: doudpackage
Title: Create Elegant Table 1 in HTML/'LaTeX' for Bio-Statistics
Version: 2.0.1
Description: Creates the "table one" of bio-medical papers. Fill it with your data and the name of the variable which you'll make the group(s) out of and it will make univariate, bivariate analysis and parse it into HTML. It also allows you to visualize all your data with graphic representation.
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
Imports: dplyr, kableExtra, methods, purrr, stats, stringi, tibble, tidyr
NeedsCompilation: no
Packaged: 2023-03-08 20:33:21 UTC; tiago2
Author: Edouard Baudouin [aut, cre]
Maintainer: Edouard Baudouin <edouardpierre.baudouin@aphp.fr>
Repository: CRAN
Date/Publication: 2023-03-09 09:00:15 UTC

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New package BayesFluxR with initial version 0.1.1
Package: BayesFluxR
Title: Implementation of Bayesian Neural Networks
Version: 0.1.1
Maintainer: Enrico Wegner <e.wegner@student.maastrichtuniversity.nl>
Description: Implementation of 'BayesFlux.jl' for R; It extends the famous 'Flux.jl' machine learning library to Bayesian Neural Networks. The goal is not to have the fastest production ready library, but rather to allow more people to be able to use and research on Bayesian Neural Networks.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: JuliaCall (>= 0.17.5), stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-03-08 19:09:49 UTC; enricowegner
Author: Enrico Wegner [aut, cre]
Repository: CRAN
Date/Publication: 2023-03-09 09:00:19 UTC

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Package bartcs updated to version 1.0.0 with previous version 0.1.2 dated 2022-08-06

Title: Bayesian Additive Regression Trees for Confounder Selection
Description: Fit Bayesian Regression Additive Trees (BART) models to select true confounders from a large set of potential confounders and to estimate average treatment effect. For more information, see Kim et al. (2023) <doi:10.1111/biom.13833>.
Author: Yeonghoon Yoo [aut, cre]
Maintainer: Yeonghoon Yoo <yooyh.stat@gmail.com>

Diff between bartcs versions 0.1.2 dated 2022-08-06 and 1.0.0 dated 2023-03-09

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 bartcs-1.0.0/bartcs/R/ihdp.R                       |   86 -
 bartcs-1.0.0/bartcs/R/pip_plot.R                   |    6 
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 bartcs-1.0.0/bartcs/R/utils.R                      |   19 
 bartcs-1.0.0/bartcs/README.md                      |   57 -
 bartcs-1.0.0/bartcs/build/partial.rdb              |binary
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 bartcs-1.0.0/bartcs/inst/doc/bartcs.R              |  147 +-
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 bartcs-1.0.0/bartcs/inst/doc/bartcs.html           | 1088 ++++++++++-----------
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 61 files changed, 2116 insertions(+), 2003 deletions(-)

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

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

2020-04-09 0.1.2

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Package Cubist updated to version 0.4.2.1 with previous version 0.4.2 dated 2023-02-08

Title: Rule- And Instance-Based Regression Modeling
Description: Regression modeling using rules with added instance-based corrections.
Author: Max Kuhn [aut, cre], Steve Weston [ctb], Chris Keefer [ctb], Nathan Coulter [ctb], Ross Quinlan [aut] , Rulequest Research Pty Ltd. [cph]
Maintainer: Max Kuhn <mxkuhn@gmail.com>

Diff between Cubist versions 0.4.2 dated 2023-02-08 and 0.4.2.1 dated 2023-03-09

 DESCRIPTION |    6 +++---
 MD5         |    4 ++--
 src/rules.c |    2 +-
 3 files changed, 6 insertions(+), 6 deletions(-)

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