Mon, 14 Oct 2024

Package rsyncrosim updated to version 2.0.1 with previous version 1.5.0 dated 2024-02-01

Title: The R Interface to 'SyncroSim'
Description: 'SyncroSim' is a generalized framework for managing scenario-based datasets (<https://syncrosim.com/>). 'rsyncrosim' provides an interface to 'SyncroSim'. Simulation models can be added to 'SyncroSim' in order to transform these datasets, taking advantage of general features such as defining scenarios of model inputs, running Monte Carlo simulations, and summarizing model outputs. 'rsyncrosim' requires 'SyncroSim' 2.3.5 or higher (API documentation: <https://docs.syncrosim.com/>).
Author: Colin Daniel [aut], Josie Hughes [aut], Valentin Lucet [aut], Alex Embrey [aut], Katie Birchard [aut, cre], Leonardo Frid [aut], Tabitha Kennedy [aut], Shreeram Senthivasan [aut], ApexRMS [cph]
Maintainer: Katie Birchard <katie.birchard@apexrms.com>

Diff between rsyncrosim versions 1.5.0 dated 2024-02-01 and 2.0.1 dated 2024-10-14

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More information about rsyncrosim at CRAN
Permanent link

Package pmartR updated to version 2.4.6 with previous version 2.4.5 dated 2024-05-21

Title: Panomics Marketplace - Quality Control and Statistical Analysis for Panomics Data
Description: Provides functionality for quality control processing and statistical analysis of mass spectrometry (MS) omics data, in particular proteomic (either at the peptide or the protein level), lipidomic, and metabolomic data, as well as RNA-seq based count data and nuclear magnetic resonance (NMR) data. This includes data transformation, specification of groups that are to be compared against each other, filtering of features and/or samples, data normalization, data summarization (correlation, PCA), and statistical comparisons between defined groups. Implements methods described in: Webb-Robertson et al. (2014) <doi:10.1074/mcp.M113.030932>. Webb-Robertson et al. (2011) <doi:10.1002/pmic.201100078>. Matzke et al. (2011) <doi:10.1093/bioinformatics/btr479>. Matzke et al. (2013) <doi:10.1002/pmic.201200269>. Polpitiya et al. (2008) <doi:10.1093/bioinformatics/btn217>. Webb-Robertson et al. (2010) <doi:10.1021/pr1005247>.
Author: Lisa Bramer [aut, cre], Kelly Stratton [aut], Daniel Claborne [aut], Evan Glasscock [ctb], Rachel Richardson [ctb], David Degnan [ctb], Evan Martin [ctb]
Maintainer: Lisa Bramer <lisa.bramer@pnnl.gov>

Diff between pmartR versions 2.4.5 dated 2024-05-21 and 2.4.6 dated 2024-10-14

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Package RcppDate updated to version 0.0.4 with previous version 0.0.3 dated 2021-05-19

Title: 'date' C++ Header Library for Date and Time Functionality
Description: A header-only C++ library is provided with support for dates, time zones, ISO weeks, Julian dates, and Islamic dates. 'date' offers extensive date and time functionality for the C++11, C++14 and C++17 standards and was written by Howard Hinnant and released under the MIT license. A slightly modified version has been accepted (along with 'tz.h') as part of C++20. This package regroups all header files from the upstream repository by Howard Hinnant so that other R packages can use them in their C++ code. At present, few of the types have explicit 'Rcpp' wrappers though these may be added as needed.
Author: Dirk Eddelbuettel [aut, cre] , Howard Hinnant [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppDate versions 0.0.3 dated 2021-05-19 and 0.0.4 dated 2024-10-14

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Package eummd updated to version 0.2.0 with previous version 0.1.9 dated 2024-05-21

Title: Efficient Univariate Maximum Mean Discrepancy
Description: Computes maximum mean discrepancy two-sample test for univariate data using the Laplacian kernel, as described in Bodenham and Kawahara (2023) <doi:10.1007/s11222-023-10271-x>. The p-value is computed using permutations. Also includes implementation for computing the robust median difference statistic 'Q_n' from Croux and Rousseeuw (1992) <doi:10.1007/978-3-662-26811-7_58> based on Johnson and Mizoguchi (1978) <doi:10.1137/0207013>.
Author: Dean Bodenham [aut, cre]
Maintainer: Dean Bodenham <deanbodenhampkgs@gmail.com>

Diff between eummd versions 0.1.9 dated 2024-05-21 and 0.2.0 dated 2024-10-14

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Package EMC2 updated to version 2.1.0 with previous version 2.0.2 dated 2024-09-10

Title: Bayesian Hierarchical Analysis of Cognitive Models of Choice
Description: Fit Bayesian (hierarchical) cognitive models using a linear modeling language interface using particle metropolis Markov chain Monte Carlo sampling with Gibbs steps. The diffusion decision model (DDM), linear ballistic accumulator model (LBA), racing diffusion model (RDM), and the lognormal race model (LNR) are supported. Additionally, users can specify their own likelihood function and/or choose for non-hierarchical estimation, as well as for a diagonal, blocked or full multivariate normal group-level distribution to test individual differences. Prior specification is facilitated through methods that visualize the (implied) prior. A wide range of plotting functions assist in assessing model convergence and posterior inference. Models can be easily evaluated using functions that plot posterior predictions or using relative model comparison metrics such as information criteria or Bayes factors. References: Stevenson et al. (2024) <doi:10.31234/osf.io/2e4dq>.
Author: Niek Stevenson [aut, cre] , Michelle Donzallaz [aut], Andrew Heathcote [aut], Steven Miletic [ctb], Raphael Hartmann [ctb], Karl C. Klauer [ctb], Steven G. Johnson [ctb], Jean M. Linhart [ctb], Brian Gough [ctb], Gerard Jungman [ctb], Rudolf Schuerer [...truncated...]
Maintainer: Niek Stevenson <niek.stevenson@gmail.com>

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Package mlr3tuning updated to version 1.0.2 with previous version 1.0.1 dated 2024-09-10

Title: Hyperparameter Optimization for 'mlr3'
Description: Hyperparameter optimization package of the 'mlr3' ecosystem. It features highly configurable search spaces via the 'paradox' package and finds optimal hyperparameter configurations for any 'mlr3' learner. 'mlr3tuning' works with several optimization algorithms e.g. Random Search, Iterated Racing, Bayesian Optimization (in 'mlr3mbo') and Hyperband (in 'mlr3hyperband'). Moreover, it can automatically optimize learners and estimate the performance of optimized models with nested resampling.
Author: Marc Becker [cre, aut] , Michel Lang [aut] , Jakob Richter [aut] , Bernd Bischl [aut] , Daniel Schalk [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package modelenv updated to version 0.2.0 with previous version 0.1.1 dated 2023-03-08

Title: Provide Tools to Register Models for Use in 'tidymodels'
Description: An developer focused, low dependency package in 'tidymodels' that provides functions to register how models are to be used. Functions to register models are complimented with accessor functions to retrieve registered model information to aid in model fitting and error handling.
Author: Emil Hvitfeldt [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

Diff between modelenv versions 0.1.1 dated 2023-03-08 and 0.2.0 dated 2024-10-14

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Package codebook updated to version 0.9.5 with previous version 0.9.2 dated 2020-06-06

Title: Automatic Codebooks from Metadata Encoded in Dataset Attributes
Description: Easily automate the following tasks to describe data frames: Summarise the distributions, and labelled missings of variables graphically and using descriptive statistics. For surveys, compute and summarise reliabilities (internal consistencies, retest, multilevel) for psychological scales. Combine this information with metadata (such as item labels and labelled values) that is derived from R attributes. To do so, the package relies on 'rmarkdown' partials, so you can generate HTML, PDF, and Word documents. Codebooks are also available as tables (CSV, Excel, etc.) and in JSON-LD, so that search engines can find your data and index the metadata. The metadata are also available at your fingertips via RStudio Addins.
Author: Ruben Arslan [aut, cre]
Maintainer: Ruben Arslan <ruben.arslan@gmail.com>

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Package templateICAr updated to version 0.8.8 with previous version 0.6.4 dated 2024-01-17

Title: Estimate Brain Networks and Connectivity with ICA and Empirical Priors
Description: Implements the template ICA (independent components analysis) model proposed in Mejia et al. (2020) <doi:10.1080/01621459.2019.1679638> and the spatial template ICA model proposed in proposed in Mejia et al. (2022) <doi:10.1080/10618600.2022.2104289>. Both models estimate subject-level brain as deviations from known population-level networks, which are estimated using standard ICA algorithms. Both models employ an expectation-maximization algorithm for estimation of the latent brain networks and unknown model parameters. Includes direct support for 'CIFTI', 'GIFTI', and 'NIFTI' neuroimaging file formats.
Author: Amanda Mejia [aut, cre], Damon Pham [aut] , Daniel Spencer [ctb] , Mary Beth Nebel [ctb]
Maintainer: Amanda Mejia <mandy.mejia@gmail.com>

Diff between templateICAr versions 0.6.4 dated 2024-01-17 and 0.8.8 dated 2024-10-14

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Package NNS updated to version 10.9.3 with previous version 10.9.2 dated 2024-09-06

Title: Nonlinear Nonparametric Statistics
Description: Nonlinear nonparametric statistics using partial moments. Partial moments are the elements of variance and asymptotically approximate the area of f(x). These robust statistics provide the basis for nonlinear analysis while retaining linear equivalences. NNS offers: Numerical integration, Numerical differentiation, Clustering, Correlation, Dependence, Causal analysis, ANOVA, Regression, Classification, Seasonality, Autoregressive modeling, Normalization, Stochastic dominance and Advanced Monte Carlo sampling. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995).
Author: Fred Viole [aut, cre], Roberto Spadim [ctb]
Maintainer: Fred Viole <ovvo.financial.systems@gmail.com>

Diff between NNS versions 10.9.2 dated 2024-09-06 and 10.9.3 dated 2024-10-14

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Package hypergeo2 updated to version 0.2.0 with previous version 0.1.0 dated 2024-09-18

Title: Generalized Hypergeometric Function with Tunable High Precision
Description: Computation of generalized hypergeometric function with tunable high precision in a vectorized manner, with the floating-point datatypes from 'mpfr' or 'gmp' library. The computation is limited to real numbers.
Author: Xiurui Zhu [aut, cre]
Maintainer: Xiurui Zhu <zxr6@163.com>

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Package emmeans updated to version 1.10.5 with previous version 1.10.4 dated 2024-08-20

Title: Estimated Marginal Means, aka Least-Squares Means
Description: Obtain estimated marginal means (EMMs) for many linear, generalized linear, and mixed models. Compute contrasts or linear functions of EMMs, trends, and comparisons of slopes. Plots and other displays. Least-squares means are discussed, and the term "estimated marginal means" is suggested, in Searle, Speed, and Milliken (1980) Population marginal means in the linear model: An alternative to least squares means, The American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.
Author: Russell V. Lenth [aut, cre, cph], Balazs Banfai [ctb], Ben Bolker [ctb], Paul Buerkner [ctb], Iago Gine-Vazquez [ctb], Maxime Herve [ctb], Maarten Jung [ctb], Jonathon Love [ctb], Fernando Miguez [ctb], Julia Piaskowski [ctb], Hannes Riebl [ctb], Hen [...truncated...]
Maintainer: Russell V. Lenth <russell-lenth@uiowa.edu>

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More information about emmeans at CRAN
Permanent link

Package downloadthis updated to version 0.4.1 with previous version 0.4.0 dated 2024-07-04

Title: Implement Download Buttons in 'rmarkdown'
Description: Implement download buttons in HTML output from 'rmarkdown' without the need for 'runtime:shiny'.
Author: Felipe Mattioni Maturana [aut, cre] , John Coene [ctb]
Maintainer: Felipe Mattioni Maturana <felipe.mattioni@med.uni-tuebingen.de>

Diff between downloadthis versions 0.4.0 dated 2024-07-04 and 0.4.1 dated 2024-10-14

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Package SplitKnockoff updated to version 2.1 with previous version 1.2 dated 2022-03-18

Title: Split Knockoffs for Structural Sparsity
Description: Split Knockoff is a data adaptive variable selection framework for controlling the (directional) false discovery rate (FDR) in structural sparsity, where variable selection on linear transformation of parameters is of concern. This proposed scheme relaxes the linear subspace constraint to its neighborhood, often known as variable splitting in optimization. Simulation experiments can be reproduced following the Vignette. 'Split Knockoffs' is first defined in Cao et al. (2021) <doi:10.48550/arXiv.2103.16159>.
Author: Yuxuan Chen [aut, cre] , Haoxue Wang [aut] , Yang Cao [aut] , Xinwei Sun [aut] , Yuan Yao [aut]
Maintainer: Yuxuan Chen <yx.chen@connect.ust.hk>

Diff between SplitKnockoff versions 1.2 dated 2022-03-18 and 2.1 dated 2024-10-14

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Package pedigreemm updated to version 0.3-5 with previous version 0.3-4 dated 2023-11-24

Title: Pedigree-Based Mixed-Effects Models
Description: Fit pedigree-based mixed-effects models.
Author: Douglas Bates [aut], Ana Ines Vazquez [aut, cre], Paulino Perez Rodriguez [ctb]
Maintainer: Ana Ines Vazquez <avazquez@msu.edu>

Diff between pedigreemm versions 0.3-4 dated 2023-11-24 and 0.3-5 dated 2024-10-14

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Package palaeoverse updated to version 1.4.0 with previous version 1.3.0 dated 2024-04-16

Title: Prepare and Explore Data for Palaeobiological Analyses
Description: Provides functionality to support data preparation and exploration for palaeobiological analyses, improving code reproducibility and accessibility. The wider aim of 'palaeoverse' is to bring the palaeobiological community together to establish agreed standards. The package currently includes functionality for data cleaning, binning (time and space), exploration, summarisation and visualisation. Reference datasets (i.e. Geological Time Scales <https://stratigraphy.org/chart>) and auxiliary functions are also provided. Details can be found in: Jones et al., (2023) <doi: 10.1111/2041-210X.14099>.
Author: Lewis A. Jones [aut, cre] , William Gearty [aut] , Bethany J. Allen [aut] , Kilian Eichenseer [aut] , Christopher D. Dean [aut] , Sofia Galvan [ctb] , Miranta Kouvari [ctb] , Pedro L. Godoy [ctb] , Cecily Nicholl [ctb] , Lucas Buffan [ctb] , Erin M. [...truncated...]
Maintainer: Lewis A. Jones <LewisA.Jones@outlook.com>

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Permanent link

Package Matching updated to version 4.10-15 with previous version 4.10-14 dated 2023-09-14

Title: Multivariate and Propensity Score Matching with Balance Optimization
Description: Provides functions for multivariate and propensity score matching and for finding optimal balance based on a genetic search algorithm. A variety of univariate and multivariate metrics to determine if balance has been obtained are also provided. For details, see the paper by Jasjeet Sekhon (2007, <doi:10.18637/jss.v042.i07>).
Author: Jasjeet Singh Sekhon [aut, cre], Theo Saarinen [aut]
Maintainer: Jasjeet Singh Sekhon <jas.sekhon@yale.edu>

Diff between Matching versions 4.10-14 dated 2023-09-14 and 4.10-15 dated 2024-10-14

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Package BRcal updated to version 1.0.1 with previous version 1.0.0 dated 2024-09-13

Title: Boldness-Recalibration of Binary Events
Description: Boldness-recalibration maximally spreads out probability predictions while maintaining a user specified level of calibration, facilitated the brcal() function. Supporting functions to assess calibration via Bayesian and Frequentist approaches, Maximum Likelihood Estimator (MLE) recalibration, Linear in Log Odds (LLO)-adjust via any specified parameters, and visualize results are also provided. Methodological details can be found in Guthrie & Franck (2024) <doi:10.1080/00031305.2024.2339266>.
Author: Adeline P. Guthrie [aut, cre] , Christopher T. Franck [aut]
Maintainer: Adeline P. Guthrie <apguthrie47@gmail.com>

Diff between BRcal versions 1.0.0 dated 2024-09-13 and 1.0.1 dated 2024-10-14

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Permanent link

Package rasterdiv updated to version 0.3.5 with previous version 0.3.4 dated 2024-03-04

Title: Diversity Indices for Numerical Matrices
Description: Provides methods to calculate diversity indices on numerical matrices based on information theory, as described in Rocchini, Marcantonio and Ricotta (2017) <doi:10.1016/j.ecolind.2016.07.039>, and Rocchini et al. (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>

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Permanent link

New package textpress with initial version 1.0.0
Package: textpress
Title: A Lightweight and Versatile NLP Toolkit
Version: 1.0.0
Maintainer: Jason Timm <JaTimm@salud.unm.edu>
Description: A simple Natural Language Processing (NLP) toolkit focused on search-centric workflows with minimal dependencies. The package offers key features for web scraping, text processing, corpus search, and text embedding generation via the 'HuggingFace API' <https://huggingface.co/docs/api-inference/index>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: data.table, httr, Matrix, rvest, stringi, stringr, xml2, pbapply, jsonlite, lubridate
URL: https://github.com/jaytimm/textpress, https://jaytimm.github.io/textpress/
BugReports: https://github.com/jaytimm/textpress/issues
NeedsCompilation: no
Packaged: 2024-10-10 21:33:20 UTC; jtimm
Author: Jason Timm [aut, cre]
Repository: CRAN
Date/Publication: 2024-10-14 12:30:05 UTC

More information about textpress at CRAN
Permanent link

Package terra updated to version 1.7-83 with previous version 1.7-78 dated 2024-05-22

Title: Spatial Data Analysis
Description: Methods for spatial data analysis with vector (points, lines, polygons) and raster (grid) data. Methods for vector data include geometric operations such as intersect and buffer. Raster methods include local, focal, global, zonal and geometric operations. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/> to get started. 'terra' replaces the 'raster' package ('terra' can do more, and it is faster and easier to use).
Author: Robert J. Hijmans [cre, aut] , Roger Bivand [ctb] , Emanuele Cordano [ctb] , Krzysztof Dyba [ctb] , Edzer Pebesma [ctb] , Michael D. Sumner [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

Diff between terra versions 1.7-78 dated 2024-05-22 and 1.7-83 dated 2024-10-14

 DESCRIPTION                           |   10 -
 MD5                                   |  191 +++++++++++++-----------
 NAMESPACE                             |   14 +
 NEWS.md                               |   31 ++++
 R/Agenerics.R                         |   10 +
 R/RcppExports.R                       |    4 
 R/SpatRasterDataset.R                 |   15 +
 R/SpatVectorCollection.R              |   31 +++-
 R/clip.R                              |    5 
 R/coerce.R                            |   17 ++
 R/distance.R                          |    4 
 R/extract_single.R                    |    6 
 R/focal.R                             |    3 
 R/generics.R                          |   22 ++
 R/names.R                             |   30 +++
 R/plot_axes.R                         |    4 
 R/plot_legend.R                       |   49 ++++++
 R/plot_let.R                          |   72 ++++++++-
 R/plot_raster.R                       |   40 ++++-
 R/plot_scale.R                        |    2 
 R/plot_vector.R                       |   34 ++++
 R/predict.R                           |    3 
 R/princomp.R                          |   10 +
 R/rast.R                              |    1 
 R/rasterize.R                         |   23 +--
 R/rasterizeWin.R                      |    2 
 R/spatvec.R                           |    6 
 R/subset.R                            |    8 -
 R/tiles.R                             |    2 
 R/vect.R                              |    3 
 R/watershed.R                         |only
 R/zonal.R                             |    4 
 inst/ex/elev_vinschgau.tif            |only
 inst/tinytest/test_flowAccumulation.R |only
 inst/tinytest/test_pitfinder.R        |only
 inst/tinytest/test_rasterize.R        |only
 inst/tinytest/test_vect-geom.R        |only
 man/NIPD.Rd                           |only
 man/add_mtext.Rd                      |only
 man/as.lines.Rd                       |   14 +
 man/box.Rd                            |    4 
 man/c.Rd                              |    4 
 man/describe.Rd                       |    2 
 man/flowAccumulation.Rd               |only
 man/focalCpp.Rd                       |    2 
 man/geometry.Rd                       |    5 
 man/grid.Rd                           |    2 
 man/legend.Rd                         |    3 
 man/map_extent.Rd                     |only
 man/mappal.Rd                         |    2 
 man/mask.Rd                           |    2 
 man/pitfinder.Rd                      |only
 man/plet.Rd                           |    4 
 man/plot.Rd                           |   14 +
 man/prcomp.Rd                         |    3 
 man/project.Rd                        |    6 
 man/rast.Rd                           |    4 
 man/resample.Rd                       |   10 -
 man/subset_dollar.Rd                  |    2 
 man/subset_double.Rd                  |    2 
 man/svc.Rd                            |    2 
 man/terra-package.Rd                  |    4 
 man/terrain.Rd                        |    2 
 man/union.Rd                          |    4 
 man/vect.Rd                           |    2 
 man/vrt.Rd                            |    4 
 man/watershed.Rd                      |only
 man/writeRaster.Rd                    |    4 
 man/writeVector.Rd                    |    2 
 man/xyCellFrom.Rd                     |   10 -
 src/Makevars.ucrt                     |    1 
 src/RcppExports.cpp                   |   11 +
 src/RcppFunctions.cpp                 |   17 ++
 src/RcppModule.cpp                    |   15 +
 src/arith.cpp                         |   38 ++--
 src/common.h                          |only
 src/distRaster.cpp                    |  209 ++++++++++++++-------------
 src/file_utils.cpp                    |   26 +++
 src/focal.cpp                         |    2 
 src/gdal_algs.cpp                     |   28 +--
 src/gdal_multidimensional.cpp         |    4 
 src/geos_methods.cpp                  |   27 ++-
 src/math_utils.cpp                    |    4 
 src/memory.cpp                        |    2 
 src/raster_methods.cpp                |  260 +++++++++++++++++++---------------
 src/raster_stats.cpp                  |    8 -
 src/rasterize.cpp                     |    4 
 src/read.cpp                          |   35 ++++
 src/read_gdal.cpp                     |   75 ++++++---
 src/sample.cpp                        |   10 -
 src/spatBase.cpp                      |    7 
 src/spatBase.h                        |   12 -
 src/spatRaster.cpp                    |   86 +++++------
 src/spatRaster.h                      |  131 +++++++++--------
 src/spatRasterMultiple.cpp            |   41 ++++-
 src/spatRasterMultiple.h              |   97 ++++++------
 src/spatSources.cpp                   |   78 +++++-----
 src/spatVector.cpp                    |   26 +++
 src/spatVector.h                      |    4 
 src/vecmath.cpp                       |    2 
 src/vecmath.h                         |   78 +++++++++-
 src/vector_methods.cpp                |    4 
 src/watershed_internal.cpp            |only
 src/watershed_internal.h              |only
 104 files changed, 1412 insertions(+), 705 deletions(-)

More information about terra at CRAN
Permanent link

New package SCDA with initial version 0.0.1
Package: SCDA
Title: Spatially-Clustered Data Analysis
Version: 0.0.1
Description: Contains functions for statistical data analysis based on spatially-clustered techniques. The package allows estimating the spatially-clustered spatial regression models presented in Cerqueti, Maranzano \& Mattera (2024), "Spatially-clustered spatial autoregressive models with application to agricultural market concentration in Europe", arXiv preprint 2407.15874 <doi:10.48550/arXiv.2407.15874>. Specifically, the current release allows the estimation of the spatially-clustered linear regression model (SCLM), the spatially-clustered spatial autoregressive model (SCSAR), the spatially-clustered spatial Durbin model (SCSEM), and the spatially-clustered linear regression model with spatially-lagged exogenous covariates (SCSLX).
License: GPL (>= 2)
Imports: spatialreg,sp,spdep,utils,rlang,performance,stats,methods,dplyr
Depends: R (>= 3.5.0)
Suggests: tidyverse, ggplot2, sf
Encoding: UTF-8
Language: en-US
LazyData: true
Maintainer: Paolo Maranzano <pmaranzano.ricercastatistica@gmail.com>
NeedsCompilation: no
Packaged: 2024-10-10 17:05:52 UTC; paulm
Author: Paolo Maranzano [aut, cre, cph] , Raffaele Mattera [aut, cph]
Repository: CRAN
Date/Publication: 2024-10-14 12:20:04 UTC

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New package rquest with initial version 1.0.2
Package: rquest
Title: Hypothesis Tests for Quantiles and Quantile-Based Measures
Version: 1.0.2
Description: Functions to conduct hypothesis tests and derive confidence intervals for quantiles, linear combinations of quantiles, ratios of dependent linear combinations and differences and ratios of all of the above for comparisons between independent samples. Additionally, quantile-based measures of inequality are also considered.
Encoding: UTF-8
License: GPL (>= 3)
Imports: stats
Suggests: testthat (>= 3.0.0)
URL: https://github.com/shenal-dkumara/rquest
BugReports: https://github.com/shenal-dkumara/rquest/issues
NeedsCompilation: no
Packaged: 2024-10-10 05:15:14 UTC; a1228273
Author: Shenal Dedduwakumara [aut, cre], Luke Prendergast [aut], Robert Staudte [aut]
Maintainer: Shenal Dedduwakumara <shenal.dedduwakumara@adelaide.edu.au>
Repository: CRAN
Date/Publication: 2024-10-14 12:00:05 UTC

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New package NetSci with initial version 1.0.1
Package: NetSci
Title: Calculates Basic Network Measures Commonly Used in Network Medicine
Version: 1.0.1
Description: Calculates network measures commonly used in Network Medicine. Measures such as the Largest Connected Component, the Relative Largest Connected Component, Proximity and Separation are calculated along with their statistical significance. Significance can be computed both using a degree-preserving randomization and non-degree preserving.
Imports: igraph, magrittr, wTO, dplyr, Rfast, utils, binr, cubature
Suggests: CoDiNA
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-10-10 19:40:55 UTC; deisygysi
Author: Deisy Morselli Gysi [aut, cre]
Maintainer: Deisy Morselli Gysi <deisy.gysi@ufpr.br>
Repository: CRAN
Date/Publication: 2024-10-14 12:20:21 UTC

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Package ncdfCF updated to version 0.2.1 with previous version 0.1.1 dated 2024-06-10

Title: Easy Access to NetCDF Files with CF Metadata Conventions
Description: Network Common Data Form ('netCDF') files are widely used for scientific data. Library-level access in R is provided through packages 'RNetCDF' and 'ncdf4'. Package 'ncdfCF' is built on top of 'RNetCDF' and makes the data and its attributes available as a set of R6 classes that are informed by the Climate and Forecasting Metadata Conventions. Access to the data uses standard R subsetting operators and common function forms.
Author: Patrick Van Laake [aut, cre, cph]
Maintainer: Patrick Van Laake <patrick@vanlaake.net>

Diff between ncdfCF versions 0.1.1 dated 2024-06-10 and 0.2.1 dated 2024-10-14

 ncdfCF-0.1.1/ncdfCF/R/ncdfDataset.R                                                                  |only
 ncdfCF-0.1.1/ncdfCF/R/ncdfDimension.R                                                                |only
 ncdfCF-0.1.1/ncdfCF/R/ncdfDimensionCharacter.R                                                       |only
 ncdfCF-0.1.1/ncdfCF/R/ncdfDimensionNumeric.R                                                         |only
 ncdfCF-0.1.1/ncdfCF/R/ncdfDimensionTime.R                                                            |only
 ncdfCF-0.1.1/ncdfCF/R/ncdfObject.R                                                                   |only
 ncdfCF-0.1.1/ncdfCF/R/ncdfResource.R                                                                 |only
 ncdfCF-0.1.1/ncdfCF/R/ncdfVariable.R                                                                 |only
 ncdfCF-0.1.1/ncdfCF/R/zzz.R                                                                          |only
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 ncdfCF-0.1.1/ncdfCF/man/dimlength.Rd                                                                 |only
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 ncdfCF-0.1.1/ncdfCF/man/id-ncdfObject-method.Rd                                                      |only
 ncdfCF-0.1.1/ncdfCF/man/indexOf.Rd                                                                   |only
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 ncdfCF-0.1.1/ncdfCF/man/name-ncdfObject-method.Rd                                                    |only
 ncdfCF-0.1.1/ncdfCF/man/names-ncdfDataset-method.Rd                                                  |only
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 ncdfCF-0.1.1/ncdfCF/man/ncdfDimensionTime-class.Rd                                                   |only
 ncdfCF-0.1.1/ncdfCF/man/ncdfDimnames.Rd                                                              |only
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 ncdfCF-0.1.1/ncdfCF/man/ncdfObject-class.Rd                                                          |only
 ncdfCF-0.1.1/ncdfCF/man/ncdfResource-class.Rd                                                        |only
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 ncdfCF-0.1.1/ncdfCF/man/showObject.Rd                                                                |only
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 ncdfCF-0.2.1/ncdfCF/DESCRIPTION                                                                      |   31 
 ncdfCF-0.2.1/ncdfCF/MD5                                                                              |  124 +
 ncdfCF-0.2.1/ncdfCF/NAMESPACE                                                                        |   60 
 ncdfCF-0.2.1/ncdfCF/NEWS.md                                                                          |   45 
 ncdfCF-0.2.1/ncdfCF/R/AOI.R                                                                          |only
 ncdfCF-0.2.1/ncdfCF/R/AOImethod.R                                                                    |only
 ncdfCF-0.2.1/ncdfCF/R/CFAuxiliaryLongLat.R                                                           |only
 ncdfCF-0.2.1/ncdfCF/R/CFAxis.R                                                                       |only
 ncdfCF-0.2.1/ncdfCF/R/CFAxisCharacter.R                                                              |only
 ncdfCF-0.2.1/ncdfCF/R/CFAxisDiscrete.R                                                               |only
 ncdfCF-0.2.1/ncdfCF/R/CFAxisLatitude.R                                                               |only
 ncdfCF-0.2.1/ncdfCF/R/CFAxisLongitude.R                                                              |only
 ncdfCF-0.2.1/ncdfCF/R/CFAxisNumeric.R                                                                |only
 ncdfCF-0.2.1/ncdfCF/R/CFAxisScalar.R                                                                 |only
 ncdfCF-0.2.1/ncdfCF/R/CFAxisTime.R                                                                   |only
 ncdfCF-0.2.1/ncdfCF/R/CFAxisVertical.R                                                               |only
 ncdfCF-0.2.1/ncdfCF/R/CFBounds.R                                                                     |only
 ncdfCF-0.2.1/ncdfCF/R/CFData.R                                                                       |only
 ncdfCF-0.2.1/ncdfCF/R/CFDataset.R                                                                    |only
 ncdfCF-0.2.1/ncdfCF/R/CFGridMapping.R                                                                |only
 ncdfCF-0.2.1/ncdfCF/R/CFObject.R                                                                     |only
 ncdfCF-0.2.1/ncdfCF/R/CFResource.R                                                                   |only
 ncdfCF-0.2.1/ncdfCF/R/CFVariable.R                                                                   |only
 ncdfCF-0.2.1/ncdfCF/R/CFread.R                                                                       |only
 ncdfCF-0.2.1/ncdfCF/R/MemoryGroup.R                                                                  |only
 ncdfCF-0.2.1/ncdfCF/R/NCDimension.R                                                                  |only
 ncdfCF-0.2.1/ncdfCF/R/NCGroup.R                                                                      |only
 ncdfCF-0.2.1/ncdfCF/R/NCObject.R                                                                     |only
 ncdfCF-0.2.1/ncdfCF/R/NCUDT.R                                                                        |only
 ncdfCF-0.2.1/ncdfCF/R/NCVariable.R                                                                   |only
 ncdfCF-0.2.1/ncdfCF/R/ncdfCF-package.R                                                               |  190 ++
 ncdfCF-0.2.1/ncdfCF/R/sysdata.rda                                                                    |only
 ncdfCF-0.2.1/ncdfCF/R/utils.R                                                                        |   52 
 ncdfCF-0.2.1/ncdfCF/R/wkt2.R                                                                         |only
 ncdfCF-0.2.1/ncdfCF/README.md                                                                        |  314 ++--
 ncdfCF-0.2.1/ncdfCF/TODO                                                                             |   47 
 ncdfCF-0.2.1/ncdfCF/build/vignette.rds                                                               |binary
 ncdfCF-0.2.1/ncdfCF/inst/doc/Using_ncdfCF.R                                                          |   82 -
 ncdfCF-0.2.1/ncdfCF/inst/doc/Using_ncdfCF.Rmd                                                        |  226 ++-
 ncdfCF-0.2.1/ncdfCF/inst/doc/Using_ncdfCF.html                                                       |  658 ++++++----
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 ncdfCF-0.2.1/ncdfCF/man/CFAuxiliaryLongLat.Rd                                                        |only
 ncdfCF-0.2.1/ncdfCF/man/CFAxis.Rd                                                                    |only
 ncdfCF-0.2.1/ncdfCF/man/CFAxisCharacter.Rd                                                           |only
 ncdfCF-0.2.1/ncdfCF/man/CFAxisDiscrete.Rd                                                            |only
 ncdfCF-0.2.1/ncdfCF/man/CFAxisLatitude.Rd                                                            |only
 ncdfCF-0.2.1/ncdfCF/man/CFAxisLongitude.Rd                                                           |only
 ncdfCF-0.2.1/ncdfCF/man/CFAxisNumeric.Rd                                                             |only
 ncdfCF-0.2.1/ncdfCF/man/CFAxisScalar.Rd                                                              |only
 ncdfCF-0.2.1/ncdfCF/man/CFAxisTime.Rd                                                                |only
 ncdfCF-0.2.1/ncdfCF/man/CFAxisVertical.Rd                                                            |only
 ncdfCF-0.2.1/ncdfCF/man/CFBounds.Rd                                                                  |only
 ncdfCF-0.2.1/ncdfCF/man/CFData.Rd                                                                    |only
 ncdfCF-0.2.1/ncdfCF/man/CFDataset.Rd                                                                 |only
 ncdfCF-0.2.1/ncdfCF/man/CFGridMapping.Rd                                                             |only
 ncdfCF-0.2.1/ncdfCF/man/CFObject.Rd                                                                  |only
 ncdfCF-0.2.1/ncdfCF/man/CFResource.Rd                                                                |only
 ncdfCF-0.2.1/ncdfCF/man/CFVariable.Rd                                                                |only
 ncdfCF-0.2.1/ncdfCF/man/MemoryGroup.Rd                                                               |only
 ncdfCF-0.2.1/ncdfCF/man/NCDimension.Rd                                                               |only
 ncdfCF-0.2.1/ncdfCF/man/NCGroup.Rd                                                                   |only
 ncdfCF-0.2.1/ncdfCF/man/NCObject.Rd                                                                  |only
 ncdfCF-0.2.1/ncdfCF/man/NCUDT.Rd                                                                     |only
 ncdfCF-0.2.1/ncdfCF/man/NCVariable.Rd                                                                |only
 ncdfCF-0.2.1/ncdfCF/man/aoi.Rd                                                                       |only
 ncdfCF-0.2.1/ncdfCF/man/dim.AOI.Rd                                                                   |only
 ncdfCF-0.2.1/ncdfCF/man/dim.CFAxis.Rd                                                                |only
 ncdfCF-0.2.1/ncdfCF/man/dimnames.Rd                                                                  |only
 ncdfCF-0.2.1/ncdfCF/man/ncdfCF-package.Rd                                                            |  208 ++-
 ncdfCF-0.2.1/ncdfCF/man/open_ncdf.Rd                                                                 |   19 
 ncdfCF-0.2.1/ncdfCF/man/sub-.CFVariable.Rd                                                           |only
 ncdfCF-0.2.1/ncdfCF/man/sub-sub-.CFDataset.Rd                                                        |only
 ncdfCF-0.2.1/ncdfCF/vignettes/Using_ncdfCF.Rmd                                                       |  226 ++-
 111 files changed, 1551 insertions(+), 731 deletions(-)

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Package MolgenisArmadillo updated to version 2.7.0 with previous version 2.6.3 dated 2024-06-13

Title: Armadillo Client for the Armadillo Service
Description: A set of functions to manage data shared on a 'MOLGENIS Armadillo' server.
Author: Mariska Slofstra [aut, cre] , Sido Haakma [aut] , Tommy de Boer [aut] , Fleur Kelpin [aut] , Morris Swertz [aut] , Tim Cadman [aut]
Maintainer: Mariska Slofstra <m.k.slofstra@umcg.nl>

Diff between MolgenisArmadillo versions 2.6.3 dated 2024-06-13 and 2.7.0 dated 2024-10-14

 DESCRIPTION                            |    8 ++---
 MD5                                    |   40 +++++++++++++------------
 NAMESPACE                              |    2 +
 R/names.R                              |    2 -
 R/object.R                             |   51 +++++++++++++++++++++++++++++----
 R/project.R                            |   22 +++++++++++++-
 R/resource.R                           |    2 -
 R/subset.R                             |   18 +++++++++++
 R/table.R                              |   10 +++---
 R/utils.R                              |   12 +++++++
 inst/doc/MolgenisArmadillo.html        |   14 +++++++--
 inst/doc/create_resources.html         |   14 +++++++--
 inst/doc/creating_data_subsets.html    |   14 +++++++--
 inst/doc/install_packages.html         |   14 +++++++--
 man/armadillo.delete_project_folder.Rd |only
 man/dot-add_slash_if_missing.Rd        |only
 tests/testthat/test-object.R           |   47 +++++++++++++++++++++++++++---
 tests/testthat/test-project.R          |   19 ++++++++++++
 tests/testthat/test-resource.R         |    4 +-
 tests/testthat/test-subset.R           |   13 ++++++++
 tests/testthat/test-table.R            |    4 +-
 tests/testthat/test-utils.R            |   19 ++++++++++++
 22 files changed, 271 insertions(+), 58 deletions(-)

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New package knfi with initial version 1.0.0
Package: knfi
Title: Analysis of Korean National Forest Inventory Database
Version: 1.0.0
Maintainer: Sinyoung Park <youngsin0306@kookmin.ac.kr>
Description: Understanding the current status of forest resources is essential for monitoring changes in forest ecosystems and generating related statistics. In South Korea, the National Forest Inventory (NFI) surveys over 4,500 sample plots nationwide every five years and records 70 items, including forest stand, forest resource, and forest vegetation surveys. Many researchers use NFI as the primary data for research, such as biomass estimation or analyzing the importance value of each species over time and space, depending on the research purpose. However, the large volume of accumulated forest survey data from across the country can make it challenging to manage and utilize such a vast dataset. To address this issue, we developed an R package that efficiently handles large-scale NFI data across time and space. The package offers a comprehensive workflow for NFI data analysis. It starts with data processing, where read_nfi() function reconstructs NFI data according to the researcher's needs while [...truncated...]
License: GPL-3
Encoding: UTF-8
LazyData: true
Additional_repositories: https://SYOUNG9836.github.io/drat
URL: https://github.com/SYOUNG9836/knfi, https://syoung9836.github.io/knfi/
BugReports: https://github.com/SYOUNG9836/knfi/issues
Imports: dplyr, magrittr, readxl, stringr, vegan, tidyr, BiodiversityR, data.table, sf, plotrix, rlang, cellranger, stats, broom, ggplot2, sp, cowplot, ggpubr, drat
Depends: R (>= 3.6)
Suggests: kadmin, knitr, rmarkdown
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2024-10-10 09:51:49 UTC; PSY
Author: Sinyoung Park [aut, cre] , Wonhee Cho [aut, ctb] , Inyoo Kim [aut, ctb] , Wontaek Lim [aut, ctb] , Dongwook W. Ko [aut, ths]
Repository: CRAN
Date/Publication: 2024-10-14 12:00:22 UTC

More information about knfi at CRAN
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Package gert updated to version 2.1.4 with previous version 2.1.3 dated 2024-10-13

Title: Simple Git Client for R
Description: Simple git client for R based on 'libgit2' <https://libgit2.org> with support for SSH and HTTPS remotes. All functions in 'gert' use basic R data types (such as vectors and data-frames) for their arguments and return values. User credentials are shared with command line 'git' through the git-credential store and ssh keys stored on disk or ssh-agent.
Author: Jeroen Ooms [aut, cre] , Jennifer Bryan [ctb]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

Diff between gert versions 2.1.3 dated 2024-10-13 and 2.1.4 dated 2024-10-14

 DESCRIPTION        |    6 +++---
 MD5                |    6 +++---
 inst/doc/gert.html |   19 +++++++++----------
 src/utils.h        |    2 +-
 4 files changed, 16 insertions(+), 17 deletions(-)

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Package corrplot updated to version 0.95 with previous version 0.94 dated 2024-08-17

Title: Visualization of a Correlation Matrix
Description: Provides a visual exploratory tool on correlation matrix that supports automatic variable reordering to help detect hidden patterns among variables.
Author: Taiyun Wei [cre, aut], Viliam Simko [aut], Michael Levy [ctb], Yihui Xie [ctb], Yan Jin [ctb], Jeff Zemla [ctb], Moritz Freidank [ctb], Jun Cai [ctb], Tomas Protivinsky [ctb]
Maintainer: Taiyun Wei <weitaiyun@gmail.com>

Diff between corrplot versions 0.94 dated 2024-08-17 and 0.95 dated 2024-10-14

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 38 files changed, 5096 insertions(+), 5088 deletions(-)

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New package affiner with initial version 0.1.1
Package: affiner
Title: A Finer Way to Render 3D Illustrated Objects in 'grid' Using Affine Transformations
Version: 0.1.1
Description: Dilate, permute, project, reflect, rotate, shear, and translate 2D and 3D points. Supports parallel projections including oblique projections such as the cabinet projection as well as axonometric projections such as the isometric projection. Use 'grid's "affine transformation" feature to render illustrated flat surfaces.
URL: https://trevorldavis.com/R/affiner/
BugReports: https://github.com/trevorld/affiner/issues
License: MIT + file LICENSE
Imports: graphics, grDevices, grid, R6, utils
Suggests: ggplot2, gridpattern, knitr, ragg (>= 1.3.3), rgl, rlang, rmarkdown, stats, testthat (>= 3.0.0), vdiffr, withr
VignetteBuilder: knitr, ragg, rmarkdown
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-10-10 06:05:16 UTC; trevorld
Author: Trevor L. Davis [aut, cre]
Maintainer: Trevor L. Davis <trevor.l.davis@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-14 12:00:43 UTC

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Package arcgisplaces (with last version 0.1.0) was removed from CRAN

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

2024-05-15 0.1.0

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Package mra (with last version 2.16.11) was removed from CRAN

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

2018-01-05 2.16.11

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Package statgenHTP updated to version 1.0.7 with previous version 1.0.6.1 dated 2023-04-14

Title: High Throughput Phenotyping (HTP) Data Analysis
Description: Phenotypic analysis of data coming from high throughput phenotyping (HTP) platforms, including different types of outlier detection, spatial analysis, and parameter estimation. The package is being developed within the EPPN2020 project (<https://eppn2020.plant-phenotyping.eu/>). Some functions have been created to be used in conjunction with the R package 'asreml' for the 'ASReml' software, which can be obtained upon purchase from 'VSN' international (<https://vsni.co.uk/software/asreml-r/>).
Author: Emilie J Millet [aut] , Maria Xose Rodriguez Alvarez [aut] , Diana Marcela Perez Valencia [aut] , Isabelle Sanchez [aut], Nadine Hilgert [aut], Bart-Jan van Rossum [aut, cre] , Fred van Eeuwijk [aut] , Martin Boer [aut]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

Diff between statgenHTP versions 1.0.6.1 dated 2023-04-14 and 1.0.7 dated 2024-10-14

 DESCRIPTION                       |   12 
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 49 files changed, 326 insertions(+), 318 deletions(-)

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Package nda updated to version 0.1.15 with previous version 0.1.13 dated 2023-09-27

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. (2024) <doi:10.1016/j.eswa.2023.121779>.
Author: Zsolt T. Kosztyan [aut, cre], Marcell T. Kurbucz [aut], Attila I. Katona [aut], Zahid Khan [aut]
Maintainer: Zsolt T. Kosztyan <kosztyan.zsolt@gtk.uni-pannon.hu>

Diff between nda versions 0.1.13 dated 2023-09-27 and 0.1.15 dated 2024-10-14

 DESCRIPTION        |   17 ++-
 MD5                |   56 ++++++------
 NAMESPACE          |    1 
 R/biplot.nda.R     |  110 ++++++++++++------------
 R/dCor.R           |   93 +++++++++++---------
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 R/data_gen.R       |  115 ++++++++++++-------------
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 30 files changed, 1072 insertions(+), 910 deletions(-)

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New package clustTMB with initial version 0.1.0
Package: clustTMB
Title: Spatio-Temporal Finite Mixture Model using 'TMB'
Version: 0.1.0
Description: Fits a spatio-temporal finite mixture model using 'TMB'. Covariate, spatial and temporal random effects can be incorporated into the gating formula using multinomial logistic regression, the expert formula using a generalized linear mixed model framework, or both.
License: GPL-3
URL: https://github.com/Andrea-Havron/clustTMB, https://andrea-havron.github.io/clustTMB/
BugReports: https://github.com/Andrea-Havron/clustTMB/issues
Depends: R (>= 4.0.0)
Imports: cluster, clustMixType, fmesher, lme4, Matrix, mclust, methods, reformulas, MoEClust, sf, stats, TMB (>= 1.9.0)
Suggests: bookdown, covr, cowplot, dplyr, FMsmsnReg, GGally, ggplot2, ggspatial, giscoR, inlabru, kableExtra, knitr, magrittr, MixSim, mvnfast, mvtnorm, palmerpenguins, rmarkdown, sdmTMB, sp, spData, splancs, testthat, tidyr, tweedie, wesanderson
LinkingTo: RcppEigen, TMB
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
SystemRequirements: GNU make
Packaged: 2024-10-09 22:38:03 UTC; andrea.havron
Author: Andrea M. Havron [aut, cre, cph]
Maintainer: Andrea M. Havron <andrea.havron@noaa.gov>
Repository: CRAN
Date/Publication: 2024-10-14 11:50:46 UTC

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New package utsf with initial version 1.0.0
Package: utsf
Title: Univariate Time Series Forecasting
Version: 1.0.0
Description: An engine for univariate time series forecasting using different regression models in an autoregressive way. The engine provides an uniform interface for applying the different models. Furthermore, it is extensible so that users can easily apply their own regression models to univariate time series forecasting and benefit from all the features of the engine, such as preprocessings or estimation of forecast accuracy.
Maintainer: Francisco Martinez <fmartin@ujaen.es>
License: MIT + file LICENSE
URL: https://github.com/franciscomartinezdelrio/utsf
BugReports: https://github.com/franciscomartinezdelrio/utsf/issues
Imports: Cubist, FNN, forecast, ggplot2, ipred, methods, ranger, rpart, vctsfr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-09 16:28:48 UTC; UJA
Author: Maria Pilar Frias-Bustamante [aut] , Francisco Martinez [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-10-14 09:30:02 UTC

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Package shinyCohortBuilder updated to version 0.3.1 with previous version 0.3.0 dated 2024-09-27

Title: Modular Cohort-Building Framework for Analytical Dashboards
Description: You can easily add advanced cohort-building component to your analytical dashboard or simple 'Shiny' app. Then you can instantly start building cohorts using multiple filters of different types, filtering datasets, and filtering steps. Filters can be complex and data-specific, and together with multiple filtering steps you can use complex filtering rules. The cohort-building sidebar panel allows you to easily work with filters, add and remove filtering steps. It helps you with handling missing values during filtering, and provides instant filtering feedback with filter feedback plots. The GUI panel is not only compatible with native shiny bookmarking, but also provides reproducible R code.
Author: Krystian Igras [cre, aut], Kamil Wais [aut], Adam Forys [ctb]
Maintainer: Krystian Igras <krystian8207@gmail.com>

Diff between shinyCohortBuilder versions 0.3.0 dated 2024-09-27 and 0.3.1 dated 2024-10-14

 DESCRIPTION                      |    6 ++---
 MD5                              |   10 ++++-----
 NEWS.md                          |    4 +++
 R/filter_discrete.R              |   40 ++++++++++++++++++---------------------
 README.md                        |    2 -
 inst/doc/shinyCohortBuilder.html |   10 ++++-----
 6 files changed, 37 insertions(+), 35 deletions(-)

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New package phylotypr with initial version 0.1.0
Package: phylotypr
Title: Classifying DNA Sequences to Taxonomic Groupings
Version: 0.1.0
Description: Classification based analysis of DNA sequences to taxonomic groupings. This package primarily implements Naive Bayesian Classifier from the Ribosomal Database Project. This approach has traditionally been used to classify 16S rRNA gene sequences to bacterial taxonomic outlines; however, it can be used for any type of gene sequence. The method was originally described by Wang, Garrity, Tiedje, and Cole in Applied and Environmental Microbiology 73(16):5261-7 <doi:10.1128/AEM.00062-07>. The package also provides functions to read in 'FASTA'-formatted sequence data.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
URL: https://github.com/mothur/phylotypr, https://mothur.org/phylotypr/
BugReports: https://github.com/mothur/phylotypr/issues
Suggests: knitr, rmarkdown, purrr, dplyr, testthat (>= 3.0.0)
Imports: Rcpp, readr (>= 2.1.0), Rfast (>= 2.1.0), stats (>= 4.0.0), stringi (>= 1.8.0)
LinkingTo: Rcpp
Depends: R (>= 2.10)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-10-09 13:14:59 UTC; pschloss
Author: Pat Schloss [aut, cre, cph]
Maintainer: Pat Schloss <pschloss@umich.edu>
Repository: CRAN
Date/Publication: 2024-10-14 09:20:01 UTC

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Package metR updated to version 0.16.0 with previous version 0.15.0 dated 2024-02-08

Title: Tools for Easier Analysis of Meteorological Fields
Description: Many useful functions and extensions for dealing with meteorological data in the tidy data framework. Extends 'ggplot2' for better plotting of scalar and vector fields and provides commonly used analysis methods in the atmospheric sciences.
Author: Elio Campitelli [cre, aut]
Maintainer: Elio Campitelli <eliocampitelli@gmail.com>

Diff between metR versions 0.15.0 dated 2024-02-08 and 0.16.0 dated 2024-10-14

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 metR-0.16.0/metR/MD5                               |  150 ++-------
 metR-0.16.0/metR/NAMESPACE                         |    4 
 metR-0.16.0/metR/NEWS.md                           |   15 
 metR-0.16.0/metR/R/EOF.R                           |   27 +
 metR-0.16.0/metR/R/GetSMNData.R                    |  175 ----------
 metR-0.16.0/metR/R/ReadNetCDF.R                    |    5 
 metR-0.16.0/metR/R/WriteNetCDF.R                   |only
 metR-0.16.0/metR/R/geom_arrow.R                    |  350 +++++++++++----------
 metR-0.16.0/metR/R/geom_contour_fill.R             |    4 
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 metR-0.16.0/metR/R/label-scales.R                  |    4 
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 metR-0.16.0/metR/R/stat_contour2.r                 |   32 +
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 metR-0.16.0/metR/README.md                         |   21 -
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 metR-0.16.0/metR/man/geom_contour_tanaka.Rd        |   71 +++-
 metR-0.16.0/metR/man/geom_relief.Rd                |   63 +++
 metR-0.16.0/metR/man/geom_streamline.Rd            |   82 +++-
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 metR-0.16.0/metR/man/metR.Rd                       |    9 
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 51 files changed, 1036 insertions(+), 1013 deletions(-)

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New package GSEMA with initial version 0.99.3
Package: GSEMA
Title: Gene Set Enrichment Meta-Analysis
Version: 0.99.3
Description: Performing the different steps of gene set enrichment meta-analysis. It provides different functions that allow the application of meta-analysis based on the combination of effect sizes from different pathways in different studies to obtain significant pathways that are common to all of them.
License: GPL-2
Depends: R (>= 4.4)
Suggests: BiocStyle, qpdf, BiocGenerics, RUnit, knitr, rmarkdown
Imports: Biobase, limma, Rdpack, singscore, GSVA, progress, pbapply, doParallel, parallel, BiocParallel, metafor, RColorBrewer, pheatmap, methods, scales, plyr, grDevices, stats, impute
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: false
NeedsCompilation: no
Packaged: 2024-10-09 10:50:23 UTC; juanan
Author: Juan Antonio Villatoro-Garcia [aut, cre], Pablo Jurado-Bascon [aut], Pedro Carmona-Saez [aut]
Maintainer: Juan Antonio Villatoro-Garcia <juanantoniovillatorogarcia@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-14 09:20:17 UTC

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New package epichains with initial version 0.1.1
Package: epichains
Title: Simulating and Analysing Transmission Chain Statistics Using Branching Process Models
Version: 0.1.1
Description: Provides methods to simulate and analyse the size and length of branching processes with an arbitrary offspring distribution. These can be used, for example, to analyse the distribution of chain sizes or length of infectious disease outbreaks, as discussed in Farrington et al. (2003) <doi:10.1093/biostatistics/4.2.279>.
License: MIT + file LICENSE
URL: https://github.com/epiverse-trace/epichains, https://epiverse-trace.github.io/epichains/
BugReports: https://github.com/epiverse-trace/epichains/issues
Depends: R (>= 3.6.0)
Imports: checkmate, stats, utils
Suggests: bookdown, dplyr, epicontacts, ggplot2, knitr, lubridate, rmarkdown, spelling, testthat, truncdist
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
LazyData: true
NeedsCompilation: no
Packaged: 2024-10-09 11:53:58 UTC; lshja16
Author: James M. Azam [aut, cre, cph] , Sebastian Funk [aut, cph] , Flavio Finger [aut] , Zhian N. Kamvar [ctb] , Hugo Gruson [ctb, rev] , Karim Mane [rev] , Pratik Gupte [rev] , Joshua W. Lambert [rev]
Maintainer: James M. Azam <james.azam@lshtm.ac.uk>
Repository: CRAN
Date/Publication: 2024-10-14 09:20:11 UTC

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Package divest updated to version 1.1.0 with previous version 1.0.0 dated 2024-02-12

Title: Get Images Out of DICOM Format Quickly
Description: Provides tools to sort DICOM-format medical image files, and convert them to NIfTI-1 format.
Author: Jon Clayden [aut, cre] , Chris Rorden [aut], Martin J Fiedler [cph], Cong Xu [cph], Pascal Gloor [cph]
Maintainer: Jon Clayden <code@clayden.org>

Diff between divest versions 1.0.0 dated 2024-02-12 and 1.1.0 dated 2024-10-14

 DESCRIPTION                      |   10 
 MD5                              |   61 
 NAMESPACE                        |    1 
 NEWS                             |   11 
 R/zzz.R                          |   26 
 README.md                        |   24 
 build/partial.rdb                |binary
 configure                        |  566 ++--
 configure.ac                     |   23 
 inst/tinytest/test-05-read.R     |    3 
 inst/tinytest/test-20-qa.R       |   17 
 man/bidsJson.Rd                  |   10 
 man/divest.capabilities.Rd       |only
 man/imageAttributes.Rd           |   18 
 man/readDicom.Rd                 |   14 
 src/dcm2niix/jpg_0XC3.cpp        |  331 +-
 src/dcm2niix/jpg_0XC3.h          |   24 
 src/dcm2niix/nifti1_io_core.cpp  | 1550 ++++++-----
 src/dcm2niix/nifti1_io_core.h    |  125 
 src/dcm2niix/nii_dicom.cpp       | 3947 ++++++++++++++++-------------
 src/dcm2niix/nii_dicom.h         |  427 +--
 src/dcm2niix/nii_dicom_batch.cpp | 5136 +++++++++++++++++++++------------------
 src/dcm2niix/nii_dicom_batch.h   |  112 
 src/dcm2niix/nii_foreign.cpp     |   76 
 src/dcm2niix/nii_foreign.h       |   12 
 src/dcm2niix/nii_ortho.cpp       |  116 
 src/dcm2niix/nii_ortho.h         |   10 
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 src/main.cpp                     |   26 
 src/ujpeg/ujpeg.cpp              | 1310 +++++----
 src/ujpeg/ujpeg.h                |   20 
 32 files changed, 7762 insertions(+), 6532 deletions(-)

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New package dendrometeR with initial version 1.1.0
Package: dendrometeR
Title: Analyzing Dendrometer Data
Version: 1.1.0
Maintainer: Marko Smiljanic <marko.smiljanic313@gmail.com>
Description: Various functions to import, verify, process and plot high-resolution dendrometer data using daily and stem-cycle approaches as described in Deslauriers et al, 2007 <doi:10.1016/j.dendro.2007.05.003>. For more details about the package please see: Van der Maaten et al. 2016 <doi:10.1016/j.dendro.2016.06.001>.
License: GPL (>= 2)
URL: https://github.com/smiljanicm/dendrometeR
BugReports: https://github.com/smiljanicm/dendrometeR/issues
Depends: R (>= 4.0.0), forecast, graphics, grDevices, pspline, stats, zoo
Imports: methods
Suggests: knitr
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2024-10-09 19:11:54 UTC; smiljanicm
Author: Olivier Bouriaud [aut], Ernst van der Maaten [aut], Marieke van der Maaten-Theunissen [aut], Marko Smiljanic [aut, cre]
Repository: CRAN
Date/Publication: 2024-10-14 09:40:02 UTC

More information about dendrometeR at CRAN
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New package batchLLM with initial version 0.2.0
Package: batchLLM
Title: Batch Process LLM Text Completions Using a Data Frame
Version: 0.2.0
Maintainer: Dylan Pieper <dylanpieper@gmail.com>
Description: Batch process large language model (LLM) text completions using data frame rows, with support for OpenAI's 'GPT' (<https://chat.openai.com>), Anthropic's 'Claude' (<https://claude.ai>), and Google's 'Gemini' (<https://gemini.google.com>). Includes features such as local storage, metadata logging, API rate limiting delays, and a 'shiny' app addin.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/dylanpieper/batchLLM
BugReports: https://github.com/dylanpieper/batchLLM/issues
Imports: openai, gemini.R, rlang, stats, digest, dplyr, shiny, shinyWidgets, shinydashboard, DT, httr, jsonlite, spsComps, shinyjs, readr, readxl
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-10-09 18:36:10 UTC; dylan
Author: Dylan Pieper [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-10-14 09:30:06 UTC

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Package praatpicture updated to version 1.3.0 with previous version 1.2.0 dated 2024-05-22

Title: 'Praat Picture' Style Plots of Acoustic Data
Description: Quickly and easily generate plots of acoustic data aligned with transcriptions similar to those made in 'Praat' using either derived signals generated directly in R with 'wrassp' or imported derived signals from 'Praat'. Provides easy and fast out-of-the-box solutions but also a high extent of flexibility. Also provides options for embedding audio in figures and animating figures.
Author: Rasmus Puggaard-Rode [aut, cre, cph]
Maintainer: Rasmus Puggaard-Rode <r.puggaard@phonetik.uni-muenchen.de>

Diff between praatpicture versions 1.2.0 dated 2024-05-22 and 1.3.0 dated 2024-10-14

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More information about praatpicture at CRAN
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New package DEploid with initial version 0.5.4
Package: DEploid
Title: Deconvolute Mixed Genomes with Unknown Proportions
Version: 0.5.4
Description: Traditional phasing programs are limited to diploid organisms. Our method modifies Li and Stephens algorithm with Markov chain Monte Carlo (MCMC) approaches, and builds a generic framework that allows haplotype searches in a multiple infection setting. This package is primarily developed as part of the Pf3k project, which is a global collaboration using the latest sequencing technologies to provide a high-resolution view of natural variation in the malaria parasite Plasmodium falciparum. Parasite DNA are extracted from patient blood sample, which often contains more than one parasite strain, with unknown proportions. This package is used for deconvoluting mixed haplotypes, and reporting the mixture proportions from each sample.
URL: https://github.com/DEploid-dev/DEploid-r
BugReports: https://github.com/DEploid-dev/DEploid-r/issues
License: GPL (>= 3)
Depends: R (>= 3.1.0)
Imports: Rcpp (>= 0.11.2), scales (>= 0.4.0), plotly (>= 4.7.1), magrittr (>= 1.5), rmarkdown(>= 1.6), htmlwidgets (>= 1.0)
Suggests: knitr, testthat (>= 0.9.0)
VignetteBuilder: knitr
LinkingTo: Rcpp
Encoding: UTF-8
Date: 2024-10-8
NeedsCompilation: yes
Packaged: 2024-10-14 01:00:48 UTC; rstudio
Author: Joe Zhu [aut, cre, cph], Jacob Almagro-Garcia [aut], Gil McVean [aut], University of Oxford [cph], Yinghan Liu [ctb], CodeCogs Zyba Ltd [com, cph], Deepak Bandyopadhyay [com, cph], Lutz Kettner [com, cph]
Maintainer: Joe Zhu <sha.joe.zhu@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-14 08:40:02 UTC

More information about DEploid at CRAN
Permanent link

Package cheapr updated to version 0.9.9 with previous version 0.9.8 dated 2024-10-02

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

Diff between cheapr versions 0.9.8 dated 2024-10-02 and 0.9.9 dated 2024-10-14

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More information about cheapr at CRAN
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Package statgenSTA updated to version 1.0.14 with previous version 1.0.13 dated 2024-05-06

Title: Single Trial Analysis (STA) of Field Trials
Description: Phenotypic analysis of field trials using mixed models with and without spatial components. One of a series of statistical genetic packages for streamlining the analysis of typical plant breeding experiments developed by Biometris. Some functions have been created to be used in conjunction with the R package 'asreml' for the 'ASReml' software, which can be obtained upon purchase from 'VSN' international (<https://vsni.co.uk/software/asreml-r/>).
Author: Bart-Jan van Rossum [aut, cre] , Fred van Eeuwijk [ctb] , Martin Boer [ctb] , Marcos Malosetti [ctb] , Daniela Bustos-Korts [ctb] , Emilie J. Millet [ctb] , Joao Paulo [ctb] , Maikel Verouden [ctb] , Willem Kruijer [ctb] , Ron Wehrens [ctb] , Choazhi [...truncated...]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

Diff between statgenSTA versions 1.0.13 dated 2024-05-06 and 1.0.14 dated 2024-10-14

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Package mizer updated to version 2.5.2 with previous version 2.5.1 dated 2024-03-08

Title: Dynamic Multi-Species Size Spectrum Modelling
Description: A set of classes and methods to set up and run multi-species, trait based and community size spectrum ecological models, focused on the marine environment.
Author: Gustav Delius [cre, aut, cph] , Finlay Scott [aut, cph], Julia Blanchard [aut, cph] , Ken Andersen [aut, cph] , Richard Southwell [ctb, cph]
Maintainer: Gustav Delius <gustav.delius@york.ac.uk>

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Package cucumber updated to version 1.1.0 with previous version 1.0.4 dated 2024-06-29

Title: Behavior-Driven Development for R
Description: Write executable specifications in a natural language that describes how your code should behave. Write specifications in feature files using 'Gherkin' language and execute them using functions implemented in R. Use them as an extension to your 'testthat' tests to provide a high level description of how your code works.
Author: Jakub Sobolewski [aut, cre]
Maintainer: Jakub Sobolewski <jakupsob@gmail.com>

Diff between cucumber versions 1.0.4 dated 2024-06-29 and 1.1.0 dated 2024-10-14

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 cucumber-1.1.0/cucumber/R/test.R                                                     |    1 
 cucumber-1.1.0/cucumber/R/tokenize.R                                                 |    4 
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Package GaMaBioMD (with last version 0.1.0) was removed from CRAN

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

2024-01-12 0.1.0
2024-01-12 0.2.0

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Package taxize (with last version 0.9.100.1) was removed from CRAN

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

2024-08-26 0.9.100.1
2022-04-22 0.9.100
2020-10-30 0.9.99
2020-09-18 0.9.98
2020-06-09 0.9.97
2020-05-19 0.9.96
2020-04-27 0.9.95
2020-04-01 0.9.94
2020-03-20 0.9.93
2020-02-12 0.9.92
2019-11-15 0.9.91
2019-10-17 0.9.9
2019-06-28 0.9.8
2019-05-09 0.9.7
2019-02-24 0.9.6
2019-01-30 0.9.5
2018-07-24 0.9.4
2018-03-20 0.9.3
2018-03-01 0.9.2
2017-09-28 0.9.0
2017-07-11 0.8.9
2017-07-01 0.8.8
2017-01-19 0.8.4
2016-12-16 0.8.0
2016-07-23 0.7.9
2016-06-17 0.7.8
2016-05-11 0.7.6
2016-04-06 0.7.5
2016-03-08 0.7.4
2015-11-30 0.7.0
2015-10-01 0.6.6
2015-08-07 0.6.2
2015-06-13 0.6.0
2014-12-19 0.5.2
2014-09-09 0.4.0
2014-05-20 0.3.0
2014-03-02 0.2.2
2014-02-17 0.2.0
2013-12-27 0.1.8
2013-11-19 0.1.5
2013-10-27 0.1.0
2013-08-01 0.0.6
2013-02-19 0.0.5
2013-01-31 0.0.4
2013-01-30 0.0.3
2012-12-07 0.0.2
2012-12-04 0.0.1

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Package traits (with last version 0.5.1) was removed from CRAN

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

2024-05-17 0.5.1
2020-08-27 0.5.0
2019-06-29 0.4.2
2019-06-07 0.4.0
2017-09-22 0.3.0
2016-03-18 0.2.0
2015-09-12 0.1.2
2015-06-12 0.1.0

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Package SWTools updated to version 1.1.0 with previous version 1.0.3 dated 2024-05-24

Title: Helper Tools for Australian Hydrologists
Description: Functions to speed up work flow for hydrological analysis. Focused on Australian climate data (SILO climate data), hydrological models (eWater Source) and in particular South Australia (<https://water.data.sa.gov.au> hydrological data).
Author: Matt Gibbs [aut, cre]
Maintainer: Matt Gibbs <gibbs.ms@gmail.com>

Diff between SWTools versions 1.0.3 dated 2024-05-24 and 1.1.0 dated 2024-10-14

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Package NPCox updated to version 1.3 with previous version 1.2 dated 2023-11-13

Title: Nonparametric and Semiparametric Proportional Hazards Model
Description: An estimation procedure for the analysis of nonparametric proportional hazards model (e.g. h(t) = h0(t)exp(b(t)'Z)), providing estimation of b(t) and its pointwise standard errors, and semiparametric proportional hazards model (e.g. h(t) = h0(t)exp(b(t)'Z1 + c*Z2)), providing estimation of b(t), c and their standard errors. More details can be found in Lu Tian et al. (2005) <doi:10.1198/016214504000000845>.
Author: Qi Yang [aut, cre], Kuan Yang [aut], Xiaoxuan Liu [ctb], Xinyuan Song [ctb]
Maintainer: Qi Yang <qiyang-sdu@outlook.com>

Diff between NPCox versions 1.2 dated 2023-11-13 and 1.3 dated 2024-10-14

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More information about NPCox at CRAN
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