Thu, 24 Nov 2022

Package scistreer updated to version 1.0.1 with previous version 1.0.0 dated 2022-11-21

Title: Maximum-Likelihood Perfect Phylogeny Inference at Scale
Description: Fast maximum-likelihood phylogeny inference from noisy single-cell data using the 'ScisTree' algorithm by Yufeng Wu (2019) <doi:10.1093/bioinformatics/btz676>. 'scistreer' provides an 'R' interface and improves speed via 'Rcpp' and 'RcppParallel', making the method applicable to massive single-cell datasets (>10,000 cells).
Author: Teng Gao [cre, aut], Evan Biederstedt [aut], Peter Kharchenko [aut], Yufeng Wu [aut]
Maintainer: Teng Gao <tgaoteng@gmail.com>

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Package multiness updated to version 1.0.2 with previous version 1.0.1 dated 2022-11-21

Title: MULTIplex NEtworks with Shared Structure
Description: Model fitting and simulation for Gaussian and logistic inner product MultiNeSS models for multiplex networks. The package implements a convex fitting algorithm with fully adaptive parameter tuning, including options for edge cross-validation. For more details see MacDonald et al. (2020).
Author: Peter W. MacDonald [aut, cre]
Maintainer: Peter W. MacDonald <pwmacdon@umich.edu>

Diff between multiness versions 1.0.1 dated 2022-11-21 and 1.0.2 dated 2022-11-24

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Package NACHO updated to version 2.0.1 with previous version 2.0.0 dated 2022-05-31

Title: NanoString Quality Control Dashboard
Description: NanoString nCounter data are gene expression assays where there is no need for the use of enzymes or amplification protocols and work with fluorescent barcodes (Geiss et al. (2018) <doi:10.1038/nbt1385>). Each barcode is assigned a messenger-RNA/micro-RNA (mRNA/miRNA) which after bonding with its target can be counted. As a result each count of a specific barcode represents the presence of its target mRNA/miRNA. 'NACHO' (NAnoString quality Control dasHbOard) is able to analyse the exported NanoString nCounter data and facilitates the user in performing a quality control. 'NACHO' does this by visualising quality control metrics, expression of control genes, principal components and sample specific size factors in an interactive web application.
Author: Mickael Canouil [aut, cre] , Roderick Slieker [aut] , Gerard Bouland [aut]
Maintainer: Mickael Canouil <mickael@canouil.dev>

Diff between NACHO versions 2.0.0 dated 2022-05-31 and 2.0.1 dated 2022-11-24

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Package copyseparator updated to version 1.2.0 with previous version 1.1.0 dated 2022-07-06

Title: Assembling Long Gene Copies from Short Read Data
Description: Assembles two or more gene copies from short-read Next-Generation Sequencing data. Works best when there are only two gene copies and read length >=250 base pairs. High and relatively even coverage are important.
Author: Lei Yang
Maintainer: Lei Yang <leiyangslu@gmail.com>

Diff between copyseparator versions 1.1.0 dated 2022-07-06 and 1.2.0 dated 2022-11-24

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Package insane updated to version 1.0.0 with previous version 0.1.0 dated 2020-11-04

Title: INsulin Secretion ANalysEr
Description: A user-friendly interface, using Shiny, to analyse glucose-stimulated insulin secretion (GSIS) assays in pancreatic beta cells or islets. The package allows the user to import several sets of experiments from different spreadsheets and to perform subsequent steps: summarise in a tidy format, visualise data quality and compare experimental conditions without omitting to account for technical confounders such as the date of the experiment or the technician. Together, insane is a comprehensive method that optimises pre-processing and analyses of GSIS experiments in a friendly-user interface. The Shiny App was initially designed for EndoC-betaH1 cell line following method described in Ndiaye et al., 2017 (<doi:10.1016/j.molmet.2017.03.011>).
Author: Mickael Canouil [aut, cre]
Maintainer: Mickael Canouil <mickael@canouil.dev>

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Package ie2misc updated to version 0.9.0 with previous version 0.8.8 dated 2022-01-21

Title: Irucka Embry's Miscellaneous USGS Functions
Description: A collection of Irucka Embry's miscellaneous USGS functions (processing .exp and .psf files, statistical error functions, "+" dyadic operator for use with NA, creating ADAPS and QW spreadsheet files, calculating saturated enthalpy). Irucka created these functions while a Cherokee Nation Technology Solutions (CNTS) United States Geological Survey (USGS) Contractor and/or USGS employee.
Author: Irucka Embry [aut, cre], Anne Hoos [ctb], and Timothy H. Diehl [ctb]
Maintainer: Irucka Embry <iembry@ecoccs.com>

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Package iAR updated to version 1.2.0 with previous version 1.1.0 dated 2022-07-11

Title: Irregularly Observed Autoregressive Models
Description: Data sets, functions and scripts with examples to implement autoregressive models for irregularly observed time series. The models available in this package are the irregular autoregressive model (Eyheramendy et al.(2018) <doi:10.1093/mnras/sty2487>), the complex irregular autoregressive model (Elorrieta et al.(2019) <doi:10.1051/0004-6361/201935560>) and the bivariate irregular autoregressive model (Elorrieta et al.(2021) <doi:10.1093/mnras/stab1216>).
Author: Elorrieta Felipe [aut, cre], Ojeda Cesar [aut], Eyheramendy Susana [aut], Palma Wilfredo [aut]
Maintainer: Elorrieta Felipe <felipe.elorrieta@usach.cl>

Diff between iAR versions 1.1.0 dated 2022-07-11 and 1.2.0 dated 2022-11-24

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Package bspm updated to version 0.4.0 with previous version 0.3.10 dated 2022-08-05

Title: Bridge to System Package Manager
Description: Enables binary package installations on Linux distributions. Provides functions to manage packages via the distribution's package manager. Also provides transparent integration with R's install.packages() and a fallback mechanism. When installed as a system package, interacts with the system's package manager without requiring administrative privileges via an integrated D-Bus service; otherwise, uses sudo. Currently, the following backends are supported: DNF, APT, ALPM.
Author: Inaki Ucar [aut, cph, cre]
Maintainer: Inaki Ucar <iucar@fedoraproject.org>

Diff between bspm versions 0.3.10 dated 2022-08-05 and 0.4.0 dated 2022-11-24

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Package HTRX updated to version 1.1.0 with previous version 1.0.7 dated 2022-10-11

Title: Haplotype Trend Regression with eXtra Flexibility (HTRX)
Description: Detection of haplotype patterns that include single nucleotide polymorphisms (SNPs) and non-contiguous haplotypes that are associated with a phenotype. Methods for implementing HTRX are described in Barrie W, Yang Y, Attfield K E, et al (2022) <doi:10.1101/2022.09.23.509097>.
Author: Yaoling Yang [aut, cre] , Daniel Lawson [aut]
Maintainer: Yaoling Yang <yaoling.yang@bristol.ac.uk>

Diff between HTRX versions 1.0.7 dated 2022-10-11 and 1.1.0 dated 2022-11-24

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New package scAnnotate with initial version 0.1.1
Package: scAnnotate
Title: An Automated Cell Type Annotation Tool for Single-Cell RNA-Sequencing Data
Version: 0.1.1
Description: An entirely data-driven cell type annotation tools, which requires training data to learn the classifier, but not biological knowledge to make subjective decisions. It consists of three steps: preprocessing training and test data, model fitting on training data, and cell classification on test data. See Xiangling Ji,Danielle Tsao, Kailun Bai, Min Tsao, Li Xing, Xuekui Zhang.(2022)<doi:10.1101/2022.02.19.481159> for more details.
Depends: R(>= 4.0.0)
License: GPL-3
URL: https://doi.org/10.1101/2022.02.19.481159
Encoding: UTF-8
LazyData: true
Suggests: knitr, testthat (>= 3.0.0), rmarkdown
VignetteBuilder: knitr
Imports: glmnet, stats, MTPS, Seurat (>= 4.0.5), harmony
NeedsCompilation: no
Packaged: 2022-11-21 22:35:22 UTC; 54041
Author: Xiangling Ji [aut], Danielle Tsao [aut], Kailun Bai [ctb], Min Tsao [aut], Li Xing [aut], Xuekui Zhang [aut, cre]
Maintainer: Xuekui Zhang <xuekui@uvic.ca>
Repository: CRAN
Date/Publication: 2022-11-24 17:50:02 UTC

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Package ergm updated to version 4.3.2 with previous version 4.3.1 dated 2022-11-07

Title: Fit, Simulate and Diagnose Exponential-Family Models for Networks
Description: An integrated set of tools to analyze and simulate networks based on exponential-family random graph models (ERGMs). 'ergm' is a part of the Statnet suite of packages for network analysis. See Hunter, Handcock, Butts, Goodreau, and Morris (2008) <doi:10.18637/jss.v024.i03> and Krivitsky, Hunter, Morris, and Klumb (2021) <arXiv:2106.04997>.
Author: Mark S. Handcock [aut], David R. Hunter [aut], Carter T. Butts [aut], Steven M. Goodreau [aut], Pavel N. Krivitsky [aut, cre] , Martina Morris [aut], Li Wang [ctb], Kirk Li [ctb], Skye Bender-deMoll [ctb], Chad Klumb [ctb], Michal Bojanowski [ctb] , [...truncated...]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>

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Package datamods updated to version 1.4.0 with previous version 1.3.4 dated 2022-09-01

Title: Modules to Import and Manipulate Data in 'Shiny'
Description: 'Shiny' modules to import data into an application or 'addin' from various sources, and to manipulate them after that.
Author: Victor Perrier [aut, cre, cph], Fanny Meyer [aut], Samra Goumri [aut], Zauad Shahreer Abeer [aut], Eduard Szoecs [ctb]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

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Package cSEM updated to version 0.5.0 with previous version 0.4.0 dated 2021-04-19

Title: Composite-Based Structural Equation Modeling
Description: Estimate, assess, test, and study linear, nonlinear, hierarchical and multigroup structural equation models using composite-based approaches and procedures, including estimation techniques such as partial least squares path modeling (PLS-PM) and its derivatives (PLSc, ordPLSc, robustPLSc), generalized structured component analysis (GSCA), generalized structured component analysis with uniqueness terms (GSCAm), generalized canonical correlation analysis (GCCA), principal component analysis (PCA), factor score regression (FSR) using sum score, regression or bartlett scores (including bias correction using Croon’s approach), as well as several tests and typical postestimation procedures (e.g., verify admissibility of the estimates, assess the model fit, test the model fit etc.).
Author: Manuel E. Rademaker [aut] , Florian Schuberth [aut, cre] , Tamara Schamberger [ctb] , Michael Klesel [ctb] , Theo K. Dijkstra [ctb], Joerg Henseler [ctb]
Maintainer: Florian Schuberth <f.schuberth@utwente.nl>

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Package wrProteo updated to version 1.7.0.1 with previous version 1.6.0 dated 2022-03-01

Title: Proteomics Data Analysis Functions
Description: Data analysis of proteomics experiments by mass spectrometry is supported by this collection of functions mostly dedicated to the analysis of (bottom-up) quantitative (XIC) data. Fasta-formatted proteomes (eg from UniProt Consortium <doi:10.1093/nar/gky1049>) can be read with automatic parsing and multiple annotation types (like species origin, abbreviated gene names, etc) extracted. Initial results from multiple software for protein (and peptide) quantitation can be imported (to a common format): Fragpipe(da Veiga et al 2020, <doi:10.1038/s41592-020-0912-y>), MaxQuant (Tyanova et al 2016 <doi:10.1038/nprot.2016.136>), MassChroq (Valot et al 2011] <doi:10.1002/pmic.201100120>), ProteomeDiscoverer, OpenMS (<doi:10.1038/nmeth.3959>) and Proline (Bouyssie et al 2020 <doi:10.1093/bioinformatics/btaa118>). Meta-data provided in sdrf format can be integrated to the analysis. Quantitative proteomics measurements frequently contain multiple NA values, due to [...truncated...]
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

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Package Renext updated to version 3.1-3 with previous version 3.1-0 dated 2016-07-04

Title: Renewal Method for Extreme Values Extrapolation
Description: Peaks Over Threshold (POT) or 'methode du renouvellement'. The distribution for the excesses can be chosen, and heterogeneous data (including historical data or block data) can be used in a Maximum-Likelihood framework.
Author: Yves Deville <deville.yves@alpestat.com>, IRSN <renext@irsn.fr>
Maintainer: Lucie Pheulpin <lucie.pheulpin@irsn.fr>

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Package TestGardener updated to version 3.1.0 with previous version 3.0.0 dated 2022-06-26

Title: Optimal Analysis of Test and Rating Scale Data
Description: Develop, evaluate, and score multiple choice examinations, psychological scales, questionnaires, and similar types of data involving sequences of choices among one or more sets of answers. This version of the package should be considered as brand new. Almost all of the functions have been changed, including their argument list. See the file NEWS.Rd in the Inst folder for more information. Using the package does not require any formal statistical knowledge beyond what would be provided by a first course in statistics in a social science department. There the user would encounter the concept of probability and how it is used to model data and make decisions, and would become familiar with basic mathematical and statistical notation. Most of the output is in graphical form.
Author: James Ramsay [aut, cre], Juan Li [ctb], Marie Wiberg [ctb], Joakim Wallmark [ctb], Spencer Graves [ctb]
Maintainer: James Ramsay <james.ramsay@mcgill.ca>

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Package sfsmisc updated to version 1.1-14 with previous version 1.1-13 dated 2022-04-02

Title: Utilities from 'Seminar fuer Statistik' ETH Zurich
Description: Useful utilities ['goodies'] from Seminar fuer Statistik ETH Zurich, some of which were ported from S-plus in the 1990s. For graphics, have pretty (Log-scale) axes, an enhanced Tukey-Anscombe plot, combining histogram and boxplot, 2d-residual plots, a 'tachoPlot()', pretty arrows, etc. For robustness, have a robust F test and robust range(). For system support, notably on Linux, provides 'Sys.*()' functions with more access to system and CPU information. Finally, miscellaneous utilities such as simple efficient prime numbers, integer codes, Duplicated(), toLatex.numeric() and is.whole().
Author: Martin Maechler [aut, cre] , Werner Stahel [ctb] , f.robftest, last, p.scales, p.dnorm), Andreas Ruckstuhl [ctb] , p.profileTraces, p.res.2x), Christian Keller [ctb] , p.tachoPlot), Kjetil Halvorsen [ctb] , ecdf.ksCI), Alain Hauser [ctb] , is.whole, [...truncated...]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between sfsmisc versions 1.1-13 dated 2022-04-02 and 1.1-14 dated 2022-11-24

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Package safestats updated to version 0.8.7 with previous version 0.8.6 dated 2022-02-01

Title: Safe Anytime-Valid Inference
Description: Functions to design and apply tests that are anytime valid. The functions can be used to design hypothesis tests in the prospective/randomised control trial setting or in the observational/retrospective setting. The resulting tests remain valid under both optional stopping and optional continuation. The current version includes safe t-tests and safe tests of two proportions. For details on the theory of safe tests, see Grunwald, de Heide and Koolen (2019) "Safe Testing" <arXiv:1906.07801>, for details on safe logrank tests see ter Schure, Perez-Ortiz, Ly and Grunwald (2020) "The Safe Logrank Test: Error Control under Continuous Monitoring with Unlimited Horizon" <arXiv:2011.06931v3> and Turner, Ly and Grunwald (2021) "Safe Tests and Always-Valid Confidence Intervals for contingency tables and beyond" <arXiv:2106.02693> for details on safe contingency table tests.
Author: Rosanne Turner [aut], Alexander Ly [cre, aut], Muriel Felipe Perez-Ortiz [ctb], Judith ter Schure [ctb], Peter Grunwald [ctb]
Maintainer: Alexander Ly <a.ly@jasp-stats.org>

Diff between safestats versions 0.8.6 dated 2022-02-01 and 0.8.7 dated 2022-11-24

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New package Require with initial version 0.2.5
Package: Require
Title: Installing and Loading R Packages for Reproducible Workflows
Description: A single key function, 'Require' that makes rerun-tolerant versions of 'install.packages' and `require` for CRAN packages, packages no longer on CRAN (i.e., archived), specific versions of packages, and GitHub packages. This approach is developed to create reproducible workflows that are flexible and fast enough to use while in development stages, while able to build snapshots once a stable package collection is found. As with other functions in a reproducible workflow, this package emphasizes functions that return the same result whether it is the first or subsequent times running the function, with subsequent times being sufficiently fast that they can be run every time without undue waiting burden on the user or developer.
URL: https://Require.predictiveecology.org, https://github.com/PredictiveEcology/Require
Date: 2022-11-21
Version: 0.2.5
Depends: R (>= 4.0)
Imports: data.table (>= 1.10.4), methods, tools, utils
Suggests: covr, remotes, parallel, testit
Encoding: UTF-8
Language: en-CA
License: GPL-3
BugReports: https://github.com/PredictiveEcology/Require/issues
ByteCompile: yes
NeedsCompilation: no
Packaged: 2022-11-22 04:41:52 UTC; emcintir
Author: Eliot J B McIntire [aut, cre] , Alex M Chubaty [ctb] , Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>
Repository: CRAN
Date/Publication: 2022-11-24 15:00:02 UTC

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Package rsurveycto updated to version 0.1.4 with previous version 0.1.2 dated 2022-10-24

Title: Interact with Data on 'SurveyCTO'
Description: 'SurveyCTO' is a platform for mobile data collection in offline settings. The 'rsurveycto' R package uses the 'SurveyCTO' REST API <https://docs.surveycto.com/05-exporting-and-publishing-data/05-api-access/01.api-access.html> to read datasets and forms from a 'SurveyCTO' server into R as 'data.table's and to download file attachments. The package also has limited support to write datasets to a server.
Author: Jake Hughey [aut, cre], Robert On [aut]
Maintainer: Jake Hughey <jake@agency.fund>

Diff between rsurveycto versions 0.1.2 dated 2022-10-24 and 0.1.4 dated 2022-11-24

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Package gtfstools updated to version 1.2.0 with previous version 1.1.0 dated 2022-05-24

Title: General Transit Feed Specification (GTFS) Editing and Analysing Tools
Description: Utility functions to read, manipulate, analyse and write transit feeds in the General Transit Feed Specification (GTFS) data format.
Author: Daniel Herszenhut [aut, cre] , Rafael H. M. Pereira [aut] , Pedro R. Andrade [aut] , Joao Bazzo [aut] , Mark Padgham [ctb], Marcus Saraiva [ctb] , Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Daniel Herszenhut <dhersz@gmail.com>

Diff between gtfstools versions 1.1.0 dated 2022-05-24 and 1.2.0 dated 2022-11-24

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Package tgstat updated to version 2.3.19 with previous version 2.3.18 dated 2022-09-29

Title: Amos Tanay's Group High Performance Statistical Utilities
Description: A collection of high performance utilities to compute distance, correlation, auto correlation, clustering and other tasks. Contains graph clustering algorithm described in "MetaCell: analysis of single-cell RNA-seq data using K-nn graph partitions" (Yael Baran, Akhiad Bercovich, Arnau Sebe-Pedros, Yaniv Lubling, Amir Giladi, Elad Chomsky, Zohar Meir, Michael Hoichman, Aviezer Lifshitz & Amos Tanay, 2019 <doi:10.1186/s13059-019-1812-2>).
Author: Michael Hoichman [aut], Aviezer Lifshitz [aut, cre]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>

Diff between tgstat versions 2.3.18 dated 2022-09-29 and 2.3.19 dated 2022-11-24

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New package siie with initial version 0.2.0
Package: siie
Title: Superior Identification Index and Its Extensions
Version: 0.2.0
Depends: R (>= 4.0.0)
Description: Calculate superior identification index and its extensions. Measure the performance of journals based on how well they could identify the top papers by any index (e.g. citation indices) according to Huang & Yang. (2022) <doi:10.1007/s11192-022-04372-z>. These methods could be extended to evaluate other entities such as institutes, countries, etc.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: data.table
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0), tidyfst
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-24 09:43:52 UTC; Hope
Author: Tian-Yuan Huang [aut, cre]
Maintainer: Tian-Yuan Huang <huang.tian-yuan@qq.com>
Repository: CRAN
Date/Publication: 2022-11-24 12:10:02 UTC

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New package parallelpam with initial version 1.0
Package: parallelpam
Title: Parallel Partitioning-Around-Medoids (PAM) for Big Sets of Data
Version: 1.0
Date: 2022-10-30
Author: Juan Domingo [aut, cre] , Guillermo Ayala [ctb] , Spanish Ministry of Science and Innovation, MCIN/AEI <doi:10.13039/501100011033> [fnd]
Maintainer: Juan Domingo <Juan.Domingo@uv.es>
Description: Application of the Partitioning-Around-Medoids (PAM) clustering algorithm described in Schubert, E. and Rousseeuw, P.J.: "Fast and eager k-medoids clustering: O(k) runtime improvement of the PAM, CLARA, and CLARANS algorithms." Information Systems, vol. 101, p. 101804, (2021). <doi:10.1016/j.is.2021.101804>. It uses a binary format for storing and retrieval of matrices developed for the 'jmatrix' package but the functionality of 'jmatrix' is included here, so you do not need to install it. Also, it is used by package 'scellpam', so if you have installed it, you do not need to install this package. PAM can be applied to sets of data whose dissimilarity matrix can be very big. It has been tested with up to 100.000 points. It does this with the help of the code developed for other package, 'jmatrix', which allows the matrix not to be loaded in 'R' memory (which would force it to be of double type) but it gets from disk, which allows using float (or even smaller data types). Moreover [...truncated...]
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.8), memuse (>= 4.2.1)
LinkingTo: Rcpp
Encoding: UTF-8
Suggests: knitr, cluster
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-11-22 16:24:16 UTC; jdomingo
Repository: CRAN
Date/Publication: 2022-11-24 12:10:04 UTC

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New package tidyclust with initial version 0.1.0
Package: tidyclust
Title: A Common API to Clustering
Version: 0.1.0
Description: A common interface to specifying clustering models, in the same style as 'parsnip'. Creates unified interface across different functions and computational engines.
License: MIT + file LICENSE
URL: https://github.com/tidymodels/tidyclust
BugReports: https://github.com/tidymodels/tidyclust/issues
Imports: cli (>= 3.0.0), dials (>= 1.1.0), dplyr (>= 1.0.9), flexclust (>= 1.3-6), foreach, generics (>= 0.1.2), glue (>= 1.6.2), hardhat (>= 1.0.0), modelenv (>= 0.1.0), parsnip (>= 1.0.2), prettyunits (>= 1.1.0), Rfast (>= 2.0.6), rlang (>= 1.0.6), rsample (>= 1.0.0), stats, tibble (>= 3.1.0), tidyr (>= 1.2.0), tune (>= 1.0.0), utils, vctrs (>= 0.5.0)
Suggests: cluster, ClusterR, covr, knitr, modeldata (>= 1.0.0), RcppHungarian, recipes (>= 1.0.0), rmarkdown, testthat (>= 3.0.0), workflows (>= 1.1.2)
Config/Needs/website: pkgdown, tidymodels, tidyverse, palmerpenguins, patchwork, ggforce
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-11-24 02:04:22 UTC; emilhvitfeldt
Author: Emil Hvitfeldt [aut, cre] , Kelly Bodwin [aut], Posit Software, PBC. [cph, fnd]
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-24 11:50:02 UTC

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Package GETdesigns updated to version 1.1.0 with previous version 1.0.0 dated 2022-11-22

Title: Generalized Extended Triangular Designs ('GETdesigns')
Description: Since their introduction by Bose and Nair (1939) <https://www.jstor.org/stable/40383923>, partially balanced incomplete block (PBIB) designs remain an important class of incomplete block designs. The concept of association scheme was used by Bose and Shimamoto (1952) <doi:10.1080/01621459.1952.10501161> for the classification of these designs. The constraint of resources always motivates the experimenter to advance towards PBIB designs, more specifically to higher associate class PBIB designs from balanced incomplete block designs. It is interesting to note that many times higher associate PBIB designs perform better than their counterpart lower associate PBIB designs for the same set of parameters v, b, r, k and lambda_i (i=1,2...m). This package contains functions named GETD() for generating m-associate (m>=2) class PBIB designs along with parameters (v, b, r, k and lambda_i, i = 1, 2,…,m) based on Generalized Triangular (GT) Association Scheme. It also calculates the [...truncated...]
Author: Mohd Harun [aut, ctb], Cini Varghese [aut, ctb], Ashutosh Dalal [aut, cre]
Maintainer: Ashutosh Dalal <ashutosh.dalal97@gmail.com>

Diff between GETdesigns versions 1.0.0 dated 2022-11-22 and 1.1.0 dated 2022-11-24

 DESCRIPTION |    6 +++---
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 3 files changed, 12 insertions(+), 19 deletions(-)

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Package geomerge updated to version 0.3.3 with previous version 0.3.2 dated 2020-04-06

Title: Geospatial Data Integration
Description: Geospatial data integration framework that merges raster, spatial polygon, and (dynamic) spatial points data into a spatial (panel) data frame at any geographical resolution.
Author: Karsten Donnay and Andrew M. Linke
Maintainer: Karsten Donnay <kdonnay@gmx.net>

Diff between geomerge versions 0.3.2 dated 2020-04-06 and 0.3.3 dated 2022-11-24

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Permanent link

New package butterflyOptions with initial version 1.0.1
Package: butterflyOptions
Title: Trading Butterfly Options Strategies
Version: 1.0.1
Author: MaheshP Kumar [aut, cre]
Maintainer: MaheshP Kumar <maheshparamjitkumar@gmail.com>
Imports: ggplot2, dplyr, magrittr, tibble
Description: Trading of Butterfly Options Strategies is represented here through their Graphs. The graphic indicators, strategies, calculations, functions and all the discussions are for academic, research, and educational purposes only and should not be construed as investment advice and come with absolutely no Liability. Guy Cohen (“The Bible of Options Strategies (2nd ed.)”, 2015, ISBN: 9780133964028). Zura Kakushadze, Juan A. Serur (“151 Trading Strategies”, 2018, ISBN: 9783030027919). John C. Hull (“Options, Futures, and Other Derivatives (11th ed.)”, 2022, ISBN: 9780136939979).
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-11-23 19:22:29 UTC; mahes
Repository: CRAN
Date/Publication: 2022-11-24 11:50:06 UTC

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Package Rdimtools updated to version 1.1.1 with previous version 1.1.0 dated 2022-09-22

Title: Dimension Reduction and Estimation Methods
Description: We provide linear and nonlinear dimension reduction techniques. Intrinsic dimension estimation methods for exploratory analysis are also provided. For more details on the package, see the paper by You and Shung (2022) <doi:10.1016/j.simpa.2022.100414>.
Author: Kisung You [aut, cre] , Changhee Suh [ctb], Dennis Shung [ctb]
Maintainer: Kisung You <kisungyou@outlook.com>

Diff between Rdimtools versions 1.1.0 dated 2022-09-22 and 1.1.1 dated 2022-11-24

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Package IOLS updated to version 0.1.1 with previous version 0.1.0 dated 2022-11-08

Title: Iterated Ordinary Least Squares Regression
Description: Addresses the 'log of zero' by developing a new family of estimators called iterated Ordinary Least Squares. This family nests standard approaches such as log-linear and Poisson regressions, offers several computational advantages, and corresponds to the correct way to perform the popular log(Y + 1) transformation. For more details about how to use it, see the notebook at: <https://www.davidbenatia.com/>.
Author: Nassim Zbalah [cre], David Benatia [aut]
Maintainer: Nassim Zbalah <nas66.nz@gmail.com>

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Package insight updated to version 0.18.8 with previous version 0.18.7 dated 2022-11-18

Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Brenton M. Wiernik [aut] , Vincent Arel-Bundock [aut, ctb] , Alex Hayes [rev] , Grant McDermott [ [...truncated...]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

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Package finbif updated to version 0.7.1 with previous version 0.7.0 dated 2022-09-13

Title: Interface for the 'Finnish Biodiversity Information Facility' API
Description: A programmatic interface to the 'Finnish Biodiversity Information Facility' ('FinBIF') API (<https://api.laji.fi>). 'FinBIF' aggregates Finnish biodiversity data from multiple sources in a single open access portal for researchers, citizen scientists, industry and government. 'FinBIF' allows users of biodiversity information to find, access, combine and visualise data on Finnish plants, animals and microorganisms. The 'finbif' package makes the publicly available data in 'FinBIF' easily accessible to programmers. Biodiversity information is available on taxonomy and taxon occurrence. Occurrence data can be filtered by taxon, time, location and other variables. The data accessed are conveniently preformatted for subsequent analyses.
Author: Finnish Museum of Natural History - Luomus [cph], William K. Morris [aut, cre]
Maintainer: William K. Morris <willi@mmorris.email>

Diff between finbif versions 0.7.0 dated 2022-09-13 and 0.7.1 dated 2022-11-24

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More information about finbif at CRAN
Permanent link

Package ebvcube updated to version 0.1.2 with previous version 0.1.1 dated 2022-11-09

Title: Working with netCDF for Essential Biodiversity Variables
Description: The concept of Essential Biodiversity Variables (EBV) comes with a data structure based on the Network Common Data Form (netCDF). The 'ebvcube' 'R' package provides functionality to easily create, access and visualise this data. The EBV netCDFs can be downloaded from the EBV Data Portal: Christian Langer/ iDiv (2020) <https://portal.geobon.org/>.
Author: Luise Quoss [aut, cre] , Nestor Fernandez [aut] , Christian Langer [aut] , Jose Valdez [aut] , Henrique Miguel Pereira [aut]
Maintainer: Luise Quoss <luise.quoss@idiv.de>

Diff between ebvcube versions 0.1.1 dated 2022-11-09 and 0.1.2 dated 2022-11-24

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More information about ebvcube at CRAN
Permanent link

New package StatTeacherAssistant with initial version 0.0.1
Package: StatTeacherAssistant
Title: An App that Assists Intro Statistics Instructors with Data Sets
Version: 0.0.1
Maintainer: Christopher Casement <casementc@gmail.com>
Description: Includes an interactive application designed to support educators in wide-ranging disciplines, with a particular focus on those teaching introductory statistical methods (descriptive and/or inferential) for data analysis. Users are able to randomly generate data, make new versions of existing data through common adjustments (e.g., add random normal noise and perform transformations), and check the suitability of the resulting data for statistical analyses.
License: MIT + file LICENSE
URL: https://github.com/ccasement/StatTeacherAssistant, https://CRAN.R-project.org/package=StatTeacherAssistant
BugReports: https://github.com/ccasement/StatTeacherAssistant/issues
Depends: R (>= 3.5.0)
Imports: DescTools (>= 0.99.47), dplyr (>= 1.0.7), DT (>= 0.19), ggplot2 (>= 3.3.5), plotly (>= 4.10.0), rhandsontable (>= 0.3.8), rio (>= 0.5.27), rmatio (>= 0.16.0), shiny (>= 1.7.1), shinyalert (>= 2.0.0), shinyBS (>= 0.61), shinyjs (>= 2.1.0), sortable (>= 0.4.6), stringi (>= 1.7.4), stringr (>= 1.4.0), teachingApps (>= 1.0.8), tidyr (>= 1.2.1)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2022-11-23 14:25:32 UTC; ccasement
Author: Christopher Casement [cre, aut], Laura McSweeney [aut]
Repository: CRAN
Date/Publication: 2022-11-24 09:10:02 UTC

More information about StatTeacherAssistant at CRAN
Permanent link

Package SPUTNIK updated to version 1.4.1 with previous version 1.4 dated 2021-10-18

Title: SPatially aUTomatic deNoising for Ims toolKit
Description: A set of tools for the peak filtering of mass spectrometry imaging data (MSI or IMS) based on spatial distribution of signal. Given a region-of-interest (ROI), representing the spatial region where the informative signal is expected to be localized, a series of filters determine which peak signals are characterized by an implausible spatial distribution. The filters reduce the dataset dimensionality and increase its information vs noise ratio, improving the quality of the unsupervised analysis results, reducing data dimensionality and simplifying the chemical interpretation.
Author: Paolo Inglese [aut, cre], Goncalo Correia [aut, ctb]
Maintainer: Paolo Inglese <p.inglese@outlook.com>

Diff between SPUTNIK versions 1.4 dated 2021-10-18 and 1.4.1 dated 2022-11-24

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More information about SPUTNIK at CRAN
Permanent link

Package rearrr updated to version 0.3.2 with previous version 0.3.1 dated 2022-08-28

Title: Rearranging Data
Description: Arrange data by a set of methods. Use rearrangers to reorder data points and mutators to change their values. From basic utilities, to centering the greatest value, to swirling in 3-dimensional space, 'rearrr' enables creativity when plotting and experimenting with data.
Author: Ludvig Renbo Olsen [aut, cre]
Maintainer: Ludvig Renbo Olsen <r-pkgs@ludvigolsen.dk>

Diff between rearrr versions 0.3.1 dated 2022-08-28 and 0.3.2 dated 2022-11-24

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More information about rearrr at CRAN
Permanent link

New package pmparser with initial version 1.0.13
Package: pmparser
Title: Create and Maintain a Relational Database of Data from PubMed/MEDLINE
Version: 1.0.13
Description: Provides a simple interface for extracting various elements from the publicly available PubMed XML files, incorporating PubMed's regular updates, and combining the data with the NIH Open Citation Collection. See Schoenbachler and Hughey (2021) <doi:10.7717/peerj.11071>.
URL: https://pmparser.hugheylab.org, https://github.com/hugheylab/pmparser
License: GPL-2
Encoding: UTF-8
Depends: R (>= 3.6)
Imports: curl (>= 4.3.2), data.table (>= 1.12.2), DBI (>= 1.1.0), foreach (>= 1.5.0), glue (>= 1.4.2), iterators (>= 1.0.12), jsonlite (>= 1.7.0), R.utils (>= 2.10.1), RCurl (>= 1.98), withr (>= 2.3.0), xml2 (>= 1.3.3)
Suggests: bigrquery (>= 1.3.2), doParallel (>= 1.0.16), RMariaDB (>= 1.0.9), RPostgres (>= 1.2.0), RSQLite (>= 2.2.0), testthat (>= 2.3.2), knitr, rmarkdown
SystemRequirements: head, unzip, sqlite
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-11-24 03:30:47 UTC; jakehughey
Author: Jake Hughey [aut, cre], Josh Schoenbachler [aut], Elliot Outland [aut]
Maintainer: Jake Hughey <jakejhughey@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-24 09:40:05 UTC

More information about pmparser at CRAN
Permanent link

New package mudfold with initial version 1.1.21
Package: mudfold
Title: Multiple UniDimensional unFOLDing
Version: 1.1.21
Date: 2022-11-23
Description: Nonparametric unfolding item response theory (IRT) model for dichotomous data (see W.H. Van Schuur (1984). Structure in Political Beliefs: A New Model for Stochastic Unfolding with Application to European Party Activists, and W.J.Post (1992). Nonparametric Unfolding Models: A Latent Structure Approach). The package implements MUDFOLD (Multiple UniDimensional unFOLDing), an iterative item selection algorithm that constructs unfolding scales from dichotomous preferential-choice data without explicitly assuming a parametric form of the item response functions. Scale diagnostics from Post(1992) and estimates for the person locations proposed by Johnson(2006) and Van Schuur(1984) are also available. This model can be seen as the unfolding variant of Mokken(1971) scaling method.
Depends: R (>= 3.3.3)
Imports: boot, glmnet, mgcv, ggplot2, zoo, reshape2, stats, utils, grDevices, broom, dplyr, graphics
License: GPL (>= 2)
URL: https://github.com/cran/mudfold
Maintainer: Spyros Balafas <sp.balafas@gmail.com>
Repository: CRAN
NeedsCompilation: no
Author: Spyros Balafas [aut, cre], Wim Krijnen [aut], Wendy Post [ctb], Ernst Wit [aut]
Date/Publication: 2022-11-24 09:30:02 UTC
Packaged: 2022-11-23 22:34:56 UTC; SpyrosBalafas

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Package groupdata2 updated to version 2.0.2 with previous version 2.0.1 dated 2022-08-28

Title: Creating Groups from Data
Description: Methods for dividing data into groups. Create balanced partitions and cross-validation folds. Perform time series windowing and general grouping and splitting of data. Balance existing groups with up- and downsampling or collapse them to fewer groups.
Author: Ludvig Renbo Olsen [aut, cre]
Maintainer: Ludvig Renbo Olsen <r-pkgs@ludvigolsen.dk>

Diff between groupdata2 versions 2.0.1 dated 2022-08-28 and 2.0.2 dated 2022-11-24

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More information about groupdata2 at CRAN
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Package ggspatial updated to version 1.1.7 with previous version 1.1.6 dated 2022-07-08

Title: Spatial Data Framework for ggplot2
Description: Spatial data plus the power of the ggplot2 framework means easier mapping when input data are already in the form of spatial objects.
Author: Dewey Dunnington [aut, cre] , Brent Thorne [ctb] , Diego Hernangomez [ctb]
Maintainer: Dewey Dunnington <dewey@fishandwhistle.net>

Diff between ggspatial versions 1.1.6 dated 2022-07-08 and 1.1.7 dated 2022-11-24

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Package ggetho updated to version 0.3.7 with previous version 0.3.6 dated 2020-04-29

Title: Visualisation of High-Throughput Behavioural (i.e. Ethomics) Data
Description: Extension of 'ggplot2' providing layers, scales and preprocessing functions useful to represent behavioural variables that are recorded over multiple animals and days. This package is part of the 'rethomics' framework <https://rethomics.github.io/>.
Author: Quentin Geissmann [aut, cre]
Maintainer: Quentin Geissmann <qgeissmann@gmail.com>

Diff between ggetho versions 0.3.6 dated 2020-04-29 and 0.3.7 dated 2022-11-24

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Package echarty updated to version 1.5.0 with previous version 1.4.7 dated 2022-08-28

Title: Minimal R/Shiny Interface to JavaScript Library 'ECharts'
Description: Deliver the full functionality of 'ECharts' with minimal overhead. 'echarty' users build R lists for 'ECharts' API. Lean set of powerful commands.
Author: Larry Helgason [cre, aut, cph], John Coene [aut, cph]
Maintainer: Larry Helgason <larry@helgasoft.com>

Diff between echarty versions 1.4.7 dated 2022-08-28 and 1.5.0 dated 2022-11-24

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New package SUSY with initial version 0.1.0
Package: SUSY
Version: 0.1.0
Title: Surrogate Synchrony
Suggests: gtools
Description: Computes synchrony as windowed cross-correlation based on two-dimensional time series in a text file you can upload. 'SUSY' works as described in Tschacher & Meier (2020) <doi:10.1080/10503307.2019.1612114>.
License: GPL-2
URL: https://wtschacher.github.io/SUSY/
BugReports: https://github.com/wtschacher/SUSY/issues
NeedsCompilation: no
Packaged: 2022-11-22 09:10:45 UTC; jan
Author: Wolfgang Tschacher [aut, cre], David Tschacher [ctb], Jan Gorecki [ctb]
Maintainer: Wolfgang Tschacher <wolfgang.tschacher@upd.unibe.ch>
Repository: CRAN
Date/Publication: 2022-11-24 09:00:13 UTC

More information about SUSY at CRAN
Permanent link

Package sass updated to version 0.4.4 with previous version 0.4.3 dated 2022-11-19

Title: Syntactically Awesome Style Sheets ('Sass')
Description: An 'SCSS' compiler, powered by the 'LibSass' library. With this, R developers can use variables, inheritance, and functions to generate dynamic style sheets. The package uses the 'Sass CSS' extension language, which is stable, powerful, and CSS compatible.
Author: Joe Cheng [aut], Timothy Mastny [aut], Richard Iannone [aut] , Barret Schloerke [aut] , Carson Sievert [aut, cre] , Christophe Dervieux [ctb] , RStudio [cph, fnd], Sass Open Source Foundation [ctb, cph] , Greter Marcel [ctb, cph] , Mifsud Michael [ct [...truncated...]
Maintainer: Carson Sievert <carson@rstudio.com>

Diff between sass versions 0.4.3 dated 2022-11-19 and 0.4.4 dated 2022-11-24

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Package RSQLite updated to version 2.2.19 with previous version 2.2.18 dated 2022-10-04

Title: SQLite Interface for R
Description: Embeds the SQLite database engine in R and provides an interface compliant with the DBI package. The source for the SQLite engine and for various extensions in a recent version is included. System libraries will never be consulted because this package relies on static linking for the plugins it includes; this also ensures a consistent experience across all installations.
Author: Kirill Mueller [aut, cre] , Hadley Wickham [aut], David A. James [aut], Seth Falcon [aut], D. Richard Hipp [ctb] , Dan Kennedy [ctb] , Joe Mistachkin [ctb] , SQLite Authors [ctb] , Liam Healy [ctb] , R Consortium [fnd], RStudio [cph]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between RSQLite versions 2.2.18 dated 2022-10-04 and 2.2.19 dated 2022-11-24

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New package rib with initial version 0.18.2
Package: rib
Title: An Implementation of 'Interactive Brokers' API
Version: 0.18.2
Description: Allows interaction with 'Interactive Brokers' 'Trader Workstation' <https://interactivebrokers.github.io/tws-api/>. Handles the connection over the network and the exchange of messages. Data is encoded and decoded between user and wire formats. Data structures and functionality closely mirror the official implementations.
Depends: R (>= 3.4)
Imports: R6 (>= 2.4)
License: GPL-3
Encoding: UTF-8
URL: https://github.com/lbilli/rib
BugReports: https://github.com/lbilli/rib/issues
NeedsCompilation: no
Packaged: 2022-11-23 12:32:13 UTC; luca
Author: Luca Billi [aut, cre]
Maintainer: Luca Billi <noreply.section+dev@gmail.com>
Repository: CRAN
Date/Publication: 2022-11-24 09:00:02 UTC

More information about rib at CRAN
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Package relevent updated to version 1.2 with previous version 1.1 dated 2021-09-22

Title: Relational Event Models
Description: Tools to fit relational event models.
Author: Carter T. Butts <buttsc@uci.edu>
Maintainer: Carter T. Butts <buttsc@uci.edu>

Diff between relevent versions 1.1 dated 2021-09-22 and 1.2 dated 2022-11-24

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Package rasterdiv updated to version 0.3.1 with previous version 0.2-5.2 dated 2022-03-29

Title: Diversity Indices for Numerical Matrices
Description: Methods to calculate indices of diversity on numerical matrices based on information theory. The rationale behind the package is described in Rocchini, Marcantonio and Ricotta (2017) <doi:10.1016/j.ecolind.2016.07.039> and Rocchini, Marcantonio,..., Ricotta (2021) <doi:10.1101/2021.01.23.427872>.
Author: Matteo Marcantonio [aut, cre], Martina Iannacito [aut, ctb], Elisa Marchetto [ctb], Elisa Thouverai [aut, ctb], Michele Torresani [aut, ctb], Daniele Da Re [aut], Clara Tattoni [aut], Giovanni Bacaro [aut], Saverio Vicario [aut, ctb], Carlo Ricotta [ [...truncated...]
Maintainer: Matteo Marcantonio <marcantoniomatteo@gmail.com>

Diff between rasterdiv versions 0.2-5.2 dated 2022-03-29 and 0.3.1 dated 2022-11-24

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Package GauPro updated to version 0.2.6 with previous version 0.2.5 dated 2022-11-14

Title: Gaussian Process Fitting
Description: Fits a Gaussian process model to data. Gaussian processes are commonly used in computer experiments to fit an interpolating model. The model is stored as an 'R6' object and can be easily updated with new data. There are options to run in parallel, and 'Rcpp' has been used to speed up calculations. For more info about Gaussian process software, see Erickson et al. (2018) <doi:10.1016/j.ejor.2017.10.002>.
Author: Collin Erickson
Maintainer: Collin Erickson <collinberickson@gmail.com>

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Package deepregression updated to version 0.3.1 with previous version 0.3 dated 2022-11-16

Title: Fitting Deep Distributional Regression
Description: Allows for the specification of semi-structured deep distributional regression models which are fitted in a neural network as proposed by Ruegamer et al. (2021) <arXiv:2104.02705>. Predictors can be modeled using structured (penalized) linear effects, structured non-linear effects or using an unstructured deep network model.
Author: David Ruegamer [aut, cre], Florian Pfisterer [ctb], Philipp Baumann [ctb], Chris Kolb [ctb], Lucas Kook [ctb]
Maintainer: David Ruegamer <david.ruegamer@gmail.com>

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Package BayesVarSel updated to version 2.2.3 with previous version 2.0.1 dated 2020-02-18

Title: Bayes Factors, Model Choice and Variable Selection in Linear Models
Description: Conceived to calculate Bayes factors in Linear models and then to provide a formal Bayesian answer to testing and variable selection problems. From a theoretical side, the emphasis in this package is placed on the prior distributions and it allows a wide range of them: Jeffreys (1961); Zellner and Siow(1980)<DOI:10.1007/bf02888369>; Zellner and Siow(1984); Zellner (1986)<DOI:10.2307/2233941>; Fernandez et al. (2001)<DOI:10.1016/s0304-4076(00)00076-2>; Liang et al. (2008)<DOI:10.1198/016214507000001337> and Bayarri et al. (2012)<DOI:10.1214/12-aos1013>. The interaction with the package is through a friendly interface that syntactically mimics the well-known lm() command of R. The resulting objects can be easily explored providing the user very valuable information (like marginal, joint and conditional inclusion probabilities of potential variables; the highest posterior probability model, HPM; the median probability model, MPM) about the structure of the t [...truncated...]
Author: Gonzalo Garcia-Donato [aut], Anabel Forte [aut, cre], Carlos Vergara-Hernandez [ctb]
Maintainer: Anabel Forte <anabel.forte@uv.es>

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Package RCzechia updated to version 1.10.0 with previous version 1.9.4 dated 2022-10-06

Title: Spatial Objects of the Czech Republic
Description: Administrative regions and other spatial objects of the Czech Republic.
Author: Jindra Lacko [aut, cre]
Maintainer: Jindra Lacko <jindra.lacko@gmail.com>

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Package graphlayouts updated to version 0.8.4 with previous version 0.8.3 dated 2022-10-20

Title: Additional Layout Algorithms for Network Visualizations
Description: Several new layout algorithms to visualize networks are provided which are not part of 'igraph'. Most are based on the concept of stress majorization by Gansner et al. (2004) <doi:10.1007/978-3-540-31843-9_25>. Some more specific algorithms allow to emphasize hidden group structures in networks or focus on specific nodes.
Author: David Schoch [aut, cre]
Maintainer: David Schoch <david@schochastics.net>

Diff between graphlayouts versions 0.8.3 dated 2022-10-20 and 0.8.4 dated 2022-11-24

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