Sat, 17 Jun 2023

Package psychTools updated to version 2.3.6 with previous version 2.3.3 dated 2023-03-17

Title: Tools to Accompany the 'psych' Package for Psychological Research
Description: Support functions, data sets, and vignettes for the 'psych' package. Contains several of the biggest data sets for the 'psych' package as well as four vignettes. A few helper functions for file manipulation are included as well. For more information, see the <https://personality-project.org/r/> web page.
Author: William Revelle [aut, cre]
Maintainer: William Revelle <revelle@northwestern.edu>

Diff between psychTools versions 2.3.3 dated 2023-03-17 and 2.3.6 dated 2023-06-17

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New package sjSDM with initial version 1.0.5
Package: sjSDM
Title: Scalable Joint Species Distribution Modeling
Version: 1.0.5
Description: A scalable method to estimate joint Species Distribution Models (jSDMs) for big community datasets based on a Monte Carlo approximation of the joint likelihood. The numerical approximation is based on 'PyTorch' and 'reticulate', and can be run on CPUs and GPUs alike. The method is described in Pichler & Hartig (2021) <doi:10.1111/2041-210X.13687>. The package contains various extensions, including support for different response families, ability to account for spatial autocorrelation, and deep neural networks instead of the linear predictor in jSDMs.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.0)
Imports: reticulate, stats, mvtnorm, utils, rstudioapi, abind, graphics, grDevices, Metrics, parallel, mgcv, cli, crayon, ggplot2, checkmate, mathjaxr, ggtern
Suggests: testthat, knitr, rmarkdown
URL: https://theoreticalecology.github.io/s-jSDM/
BugReports: https://github.com/TheoreticalEcology/s-jSDM/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-06-16 15:21:31 UTC; maximilianpichler
Author: Maximilian Pichler [aut, cre] , Florian Hartig [aut] , Wang Cai [ctb]
Maintainer: Maximilian Pichler <maximilian.pichler@biologie.uni-regensburg.de>
Repository: CRAN
Date/Publication: 2023-06-17 23:50:02 UTC

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Package RcppCGAL updated to version 5.5.3 with previous version 5.5.2 dated 2023-05-29

Title: Rcpp Integration for CGAL
Description: Creates a header only package to link to the CGAL (Computational Geometry Algorithms Library) header files in Rcpp. There are a variety of potential uses for the software such as Hilbert sorting, KDtree nearest neighbors, and convex hull algorithms. For more information about how to use the header files, see the CGAL documentation at <https://www.cgal.org>. Currently downloads the latest stable CGAL release from GitHub.
Author: Eric Dunipace [aut, cre]
Maintainer: Eric Dunipace <edunipace@mail.harvard.edu>

Diff between RcppCGAL versions 5.5.2 dated 2023-05-29 and 5.5.3 dated 2023-06-17

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New package FBN with initial version 1.5.2
Package: FBN
Title: FISH Based Normalization and Copy Number Inference of SNP Microarray Data
Version: 1.5.2
Date: 2023-06-16
Author: Adrian Andronache <adi.andronache@gmail.com>, Luca Agnelli <luca.agnelli@gmail.com>
Maintainer: Luca Agnelli <luca.agnelli@gmail.com>
Description: Normalizes the data from a file containing the raw values of the SNP probes of microarray data by using the FISH probes and their corresponding copy number.
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2023-06-16 16:37:05 UTC; agnelli
Depends: R (>= 2.10)
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2023-06-17 23:50:04 UTC

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New package crrstep with initial version 2023.1.0
Package: crrstep
Title: Stepwise Covariate Selection for the Fine & Gray Competing Risks Regression Model
Version: 2023.1.0
Date: 2023-06-17
Author: Ravi Varadhan & Deborah Kuk
Maintainer: Ravi Varadhan <ravi.varadhan@jhu.edu>
Description: Performs forward and backwards stepwise regression for the Proportional subdistribution hazards model in competing risks (Fine & Gray 1999). Procedure uses AIC, BIC and BICcr as selection criteria. BICcr has a penalty of k = log(n*), where n* is the number of primary events.
Depends: cmprsk
License: GPL (>= 2)
LazyLoad: yes
Packaged: 2023-06-17 16:30:48 UTC; raviv
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2023-06-17 23:40:02 UTC

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Package uniformly updated to version 0.4.0 with previous version 0.3.0 dated 2023-05-19

Title: Uniform Sampling
Description: Uniform sampling on various geometric shapes, such as spheres, ellipsoids, simplices.
Author: Stephane Laurent
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

Diff between uniformly versions 0.3.0 dated 2023-05-19 and 0.4.0 dated 2023-06-17

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Package psfmi updated to version 1.4.0 with previous version 1.3.0 dated 2023-06-16

Title: Prediction Model Pooling, Selection and Performance Evaluation Across Multiply Imputed Datasets
Description: Pooling, backward and forward selection of linear, logistic and Cox regression models in multiply imputed datasets. Backward and forward selection can be done from the pooled model using Rubin's Rules (RR), the D1, D2, D3, D4 and the median p-values method. This is also possible for Mixed models. The models can contain continuous, dichotomous, categorical and restricted cubic spline predictors and interaction terms between all these type of predictors. The stability of the models can be evaluated using (cluster) bootstrapping. The package further contains functions to pool model performance measures as ROC/AUC, Reclassification, R-squared, scaled Brier score, H&L test and calibration plots for logistic regression models. Internal validation can be done across multiply imputed datasets with cross-validation or bootstrapping. The adjusted intercept after shrinkage of pooled regression coefficients can be obtained. Backward and forward selection as part of internal validation is possi [...truncated...]
Author: Martijn Heymans [cre, aut] , Iris Eekhout [ctb]
Maintainer: Martijn Heymans <mw.heymans@amsterdamumc.nl>

Diff between psfmi versions 1.3.0 dated 2023-06-16 and 1.4.0 dated 2023-06-17

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Package mlr3 updated to version 0.16.1 with previous version 0.16.0 dated 2023-05-05

Title: Machine Learning in R - Next Generation
Description: Efficient, object-oriented programming on the building blocks of machine learning. Provides 'R6' objects for tasks, learners, resamplings, and measures. The package is geared towards scalability and larger datasets by supporting parallelization and out-of-memory data-backends like databases. While 'mlr3' focuses on the core computational operations, add-on packages provide additional functionality.
Author: Michel Lang [cre, aut] , Bernd Bischl [aut] , Jakob Richter [aut] , Patrick Schratz [aut] , Giuseppe Casalicchio [ctb] , Stefan Coors [ctb] , Quay Au [ctb] , Martin Binder [aut], Florian Pfisterer [aut] , Raphael Sonabend [aut] , Lennart Schneider [c [...truncated...]
Maintainer: Michel Lang <michellang@gmail.com>

Diff between mlr3 versions 0.16.0 dated 2023-05-05 and 0.16.1 dated 2023-06-17

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Package fledge updated to version 0.1.1 with previous version 0.1.0 dated 2021-12-07

Title: Smoother Change Tracking and Versioning for R Packages
Description: Streamlines the process of updating changelogs (NEWS.md) and versioning R packages developed in git repositories.
Author: Kirill Mueller [aut, cre, cph] , Patrick Schratz [aut] , Maelle Salmon [ctb]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between fledge versions 0.1.0 dated 2021-12-07 and 0.1.1 dated 2023-06-17

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Package prome updated to version 1.8.1.0 with previous version 1.5.6.70 dated 2022-05-06

Title: Patient-Reported Outcome Data Analysis with Stan
Description: Algorithms and subroutines for patient-reported outcome data analysis.
Author: Bin Wang [aut, cre]
Maintainer: Bin Wang <bwang831@gmail.com>

Diff between prome versions 1.5.6.70 dated 2022-05-06 and 1.8.1.0 dated 2023-06-17

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Package numbat updated to version 1.3.2-1 with previous version 1.3.2 dated 2023-06-06

Title: Haplotype-Aware CNV Analysis from scRNA-Seq
Description: A computational method that infers copy number variations (CNVs) in cancer scRNA-seq data and reconstructs the tumor phylogeny. 'numbat' integrates signals from gene expression, allelic ratio, and population haplotype structures to accurately infer allele-specific CNVs in single cells and reconstruct their lineage relationship. 'numbat' can be used to: 1. detect allele-specific copy number variations from single-cells; 2. differentiate tumor versus normal cells in the tumor microenvironment; 3. infer the clonal architecture and evolutionary history of profiled tumors. 'numbat' does not require tumor/normal-paired DNA or genotype data, but operates solely on the donor scRNA-data data (for example, 10x Cell Ranger output). Additional examples and documentations are available at <https://kharchenkolab.github.io/numbat/>. For details on the method please see Gao et al. Nature Biotechnology (2022) <doi:10.1038/s41587-022-01468-y>.
Author: Teng Gao [cre, aut], Ruslan Soldatov [aut], Hirak Sarkar [aut], Evan Biederstedt [aut], Peter Kharchenko [aut]
Maintainer: Teng Gao <tgao@g.harvard.edu>

Diff between numbat versions 1.3.2 dated 2023-06-06 and 1.3.2-1 dated 2023-06-17

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Package iGraphMatch updated to version 2.0.2 with previous version 2.0.1 dated 2022-09-13

Title: Tools for Graph Matching
Description: Versatile tools and data for graph matching analysis with various forms of prior information that supports working with 'igraph' objects, matrix objects, or lists of either.
Author: Daniel Sussman [aut, cre], Zihuan Qiao [aut], Joshua Agterberg [ctb], Lujia Wang [ctb], Vince Lyzinski [ctb]
Maintainer: Daniel Sussman <sussman@bu.edu>

Diff between iGraphMatch versions 2.0.1 dated 2022-09-13 and 2.0.2 dated 2023-06-17

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Package RcppSpdlog updated to version 0.0.13 with previous version 0.0.12 dated 2023-01-07

Title: R and C++ Interfaces to 'spdlog' C++ Header Library for Logging
Description: The mature and widely-used C++ logging library 'spdlog' by Gabi Melman provides many desirable features. This package bundles these header files for easy use by R packages from both their R and C or C++ code. Explicit use via 'LinkingTo:' is also supported. Also see the 'spdl' package which enhanced this package with a consistent R and C++ interface.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package PlaneGeometry updated to version 1.5.0 with previous version 1.4.0 dated 2023-05-19

Title: Plane Geometry
Description: An extensive set of plane geometry routines. Provides R6 classes representing triangles, circles, circular arcs, ellipses, elliptical arcs and lines, and their plot methods. Also provides R6 classes representing transformations: rotations, reflections, homotheties, scalings, general affine transformations, inversions, Möbius transformations.
Author: Stephane Laurent
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

Diff between PlaneGeometry versions 1.4.0 dated 2023-05-19 and 1.5.0 dated 2023-06-17

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Package tipmap updated to version 0.4.2 with previous version 0.4.1 dated 2023-04-24

Title: Tipping Point Analysis for Bayesian Dynamic Borrowing
Description: Tipping point analysis for clinical trials that employ Bayesian dynamic borrowing via robust meta-analytic predictive (MAP) priors. Mainly an implementation of an approach proposed by Best and colleagues (2021) is provided <doi:10.1002/pst.2093>. Further functions facilitate the specification of the robust MAP prior via expert elicitation (using the roulette method). Intended use is the planning, analysis and interpretation of extrapolation studies in pediatric drug development, but applicability is generally wider.
Author: Morten Dreher [aut], Christian Stock [aut, cre] , Emma Torrini [ctb], Boehringer Ingelheim Pharma GmbH & Co. KG [cph, fnd]
Maintainer: Christian Stock <christian.stock@boehringer-ingelheim.com>

Diff between tipmap versions 0.4.1 dated 2023-04-24 and 0.4.2 dated 2023-06-17

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Package polyglotr updated to version 1.1.0 with previous version 1.0.2 dated 2023-01-26

Title: Translate Text
Description: The goal of the this package is to provide easy methods to translate pieces of text. Functions send requests to translation services online.
Author: Tomer Iwan [aut, cre, cph]
Maintainer: Tomer Iwan <t.iwan@vu.nl>

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Package NeuralSens updated to version 1.0.3 with previous version 1.0.2 dated 2023-03-07

Title: Sensitivity Analysis of Neural Networks
Description: Analysis functions to quantify inputs importance in neural network models. Functions are available for calculating and plotting the inputs importance and obtaining the activation function of each neuron layer and its derivatives. The importance of a given input is defined as the distribution of the derivatives of the output with respect to that input in each training data point <doi:10.18637/jss.v102.i07>.
Author: Jose Portela Gonzalez [aut], Antonio Munoz San Roque [aut], Jaime Pizarroso Gonzalo [aut, ctb, cre]
Maintainer: Jaime Pizarroso Gonzalo <jpizarroso@comillas.edu>

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Package tdsc updated to version 1.0.4 with previous version 1.0.3 dated 2019-12-19

Title: Time Domain Signal Coding
Description: Functions for performing time domain signal coding as used in Chesmore (2001) <doi:10.1016/S0003-682X(01)00009-3>, and related tasks. This package creates the standard S-matrix and A-matrix (with variable lag), has tools to convert coding matrices into distributed matrices, provides published codebooks and allows for extraction of code sequences.
Author: Ed Baker [aut, cre]
Maintainer: Ed Baker <ed@ebaker.me.uk>

Diff between tdsc versions 1.0.3 dated 2019-12-19 and 1.0.4 dated 2023-06-17

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Package DCEtool updated to version 1.1.0 with previous version 1.0.0 dated 2022-04-14

Title: Efficient and Accessible Discrete Choice Experiments
Description: Design, conduct and analyze 'DCEs' from a virtual interface in shiny. Reference: Perez-Troncoso, D. (2022) <https://github.com/danielpereztr/DCEtool>.
Author: Daniel Perez Troncoso [aut, cre]
Maintainer: Daniel Perez Troncoso <danielperez@ugr.es>

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Package pm3 updated to version 0.1.9 with previous version 0.1.8 dated 2023-06-08

Title: Propensity Score Matching for Unordered 3-Group Data
Description: You can use this program for 3 sets of categorical data for propensity score matching. Assume that the data has 3 different categorical variables. You can use it to perform propensity matching of baseline indicator groupings. The matching will make the differences in the baseline data smaller. This method was described by Alvaro Fuentes (2022) <doi:10.1080/00273171.2021.1925521>.
Author: Qiang LIU [aut, cre]
Maintainer: Qiang LIU <dege857@163.com>

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Package rdwd updated to version 1.8.0 with previous version 1.7.1 dated 2023-04-15

Title: Select and Download Climate Data from 'DWD' (German Weather Service)
Description: Handle climate data from the 'DWD' ('Deutscher Wetterdienst', see <https://www.dwd.de/EN/climate_environment/cdc/cdc_node_en.html> for more information). Choose observational time series from meteorological stations with 'selectDWD()'. Find raster data from radar and interpolation according to <https://bookdown.org/brry/rdwd/raster-data.html>. Download (multiple) data sets with progress bars and no re-downloads through 'dataDWD()'. Read both tabular observational data and binary gridded datasets with 'readDWD()'.
Author: Berry Boessenkool
Maintainer: Berry Boessenkool <berry-b@gmx.de>

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Package ezplot updated to version 0.7.8 with previous version 0.7.7 dated 2023-06-03

Title: Functions for Common Chart Types
Description: Wrapper for the 'ggplot2' package that creates a variety of common charts (e.g. bar, line, area, ROC, waterfall, pie) while aiming to reduce typing.
Author: Wojtek Kostelecki
Maintainer: Wojtek Kostelecki <wojtek.kostelecki@gmail.com>

Diff between ezplot versions 0.7.7 dated 2023-06-03 and 0.7.8 dated 2023-06-17

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Package funModeling (with last version 1.9.4) was removed from CRAN

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

2020-06-15 1.9.4
2019-10-09 1.9.3
2019-09-08 1.9.2
2019-08-26 1.9
2019-08-01 1.8
2019-02-13 1.7
2018-07-31 1.6.8
2018-01-21 1.6.7
2017-12-18 1.6.6
2017-07-09 1.6.5
2017-06-17 1.6.4
2017-06-03 1.6.3
2017-03-16 1.6.2
2017-02-26 1.6.1
2017-01-12 1.6
2016-11-12 1.5
2016-10-11 1.4
2016-10-05 1.3
2016-08-10 1.2
2016-03-14 1.1
2016-02-07 1.0

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Package nda updated to version 0.1.10 with previous version 0.1.6 dated 2022-10-14

Title: Generalized Network-Based Dimensionality Reduction and Analysis
Description: Non-parametric dimensionality reduction function. Reduction with and without feature selection. Plot functions. Automated feature selections. Kosztyan et. al. (2022) <doi:10.1016/j.knosys.2022.109180>.
Author: Zsolt T. Kosztyan [aut, cre], Marcell T. Kurbucz [aut], Attila I. Katona [aut]
Maintainer: Zsolt T. Kosztyan <kosztyan.zsolt@gtk.uni-pannon.hu>

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