Thu, 23 May 2024

Package ranktreeEnsemble updated to version 0.23 with previous version 0.22 dated 2023-08-18

Title: Ensemble Models of Rank-Based Trees with Extracted Decision Rules
Description: Fast computing an ensemble of rank-based trees via boosting or random forest on binary and multi-class problems. It converts continuous gene expression profiles into ranked gene pairs, for which the variable importance indices are computed and adopted for dimension reduction. Decision rules can be extracted from trees.
Author: Ruijie Yin [aut], Chen Ye [aut], Min Lu [aut, cre]
Maintainer: Min Lu <luminwin@gmail.com>

Diff between ranktreeEnsemble versions 0.22 dated 2023-08-18 and 0.23 dated 2024-05-23

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Package free updated to version 1.0.2 with previous version 1.0.1 dated 2022-03-02

Title: Flexible Regularized Estimating Equations
Description: Unified regularized estimating equation solver. Currently the package includes one solver with the l1 penalty only. More solvers and penalties are under development. Reference: Yi Yang, Yuwen Gu, Yue Zhao, Jun Fan (2021) <doi:10.48550/arXiv.2110.11074>.
Author: Yi Lian [aut, cre], Yi Yang [aut, cph], Yuwen Gu [aut], Jun Fan [aut], Yue Zhao [aut], Robert W. Platt [aut]
Maintainer: Yi Lian <yi.lian@mail.mcgill.ca>

Diff between free versions 1.0.1 dated 2022-03-02 and 1.0.2 dated 2024-05-23

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Package rqlm updated to version 2.1-1 with previous version 1.3-1 dated 2024-05-17

Title: Modified Poisson and Least-Squares Regressions for Binary Outcome
Description: Modified Poisson and least-squares regression analyses for binary outcomes of Zou (2004) <doi:10.1093/aje/kwh090> and Cheung (2007) <doi:10.1093/aje/kwm223> have been standard multivariate analysis methods to estimate risk ratio and risk difference in clinical and epidemiological studies. This R package involves an easy-to-handle function to implement these analyses by simple commands. Missing data analysis tools (multiple imputation) are also involved. Also, recent studies have shown the ordinary robust variance estimator possibly has serious bias under small or moderate sample size situations for these methods. This package also provides computational tools to calculate alternative accurate confidence intervals (Noma and Gosho (2024) <Forthcoming>).
Author: Hisashi Noma [aut, cre]
Maintainer: Hisashi Noma <noma@ism.ac.jp>

Diff between rqlm versions 1.3-1 dated 2024-05-17 and 2.1-1 dated 2024-05-23

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New package mark with initial version 0.8.0
Package: mark
Title: Miscellaneous, Analytic R Kernels
Version: 0.8.0
Maintainer: Jordan Mark Barbone <jmbarbone@gmail.com>
Description: Miscellaneous functions and wrappers for development in other packages created, maintained by Jordan Mark Barbone.
License: MIT + file LICENSE
URL: https://github.com/jmbarbone/mark, https://jmbarbone.github.io/mark/
BugReports: https://github.com/jmbarbone/mark/issues
Encoding: UTF-8
Depends: R (>= 3.6)
Imports: cli, fs (>= 1.6.2), fuj (>= 0.2.1), magrittr (>= 2.0.1), rlang, stats (>= 3.6), tools (>= 3.6), utils (>= 3.6)
Suggests: bench (>= 1.1.1), bib2df (>= 1.1.1), crayon (>= 1.3.4), covr (>= 3.5.1), desc (>= 1.3.0), dplyr (>= 1.0.6), echo (>= 0.1.0), graphics (>= 3.6), haven, knitr (>= 1.30), rcmdcheck (>= 1.3.3), stringi (>= 1.5.3), spelling (>= 2.2), testthat (>= 3.0.0), tibble (>= 3.0.4), waldo (>= 0.2.5), withr (>= 2.3.0), xopen, yaml, jsonlite
Language: en-US
NeedsCompilation: no
Packaged: 2024-05-23 20:13:07 UTC; jordan
Author: Jordan Mark Barbone [aut, cph, cre]
Repository: CRAN
Date/Publication: 2024-05-23 21:50:16 UTC

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Package baorista updated to version 0.1.3 with previous version 0.1.2 dated 2024-05-21

Title: Bayesian Aoristic Analyses
Description: Provides an alternative approach to aoristic analyses for archaeological datasets by fitting Bayesian parametric growth models and non-parametric random-walk Intrinsic Conditional Autoregressive (ICAR) models on time frequency data (Crema (2024)<doi:10.1111/arcm.12984>). It handles event typo-chronology based timespans defined by start/end date as well as more complex user-provided vector of probabilities.
Author: Enrico Crema [aut, cre]
Maintainer: Enrico Crema <enrico.crema@gmail.com>

Diff between baorista versions 0.1.2 dated 2024-05-21 and 0.1.3 dated 2024-05-23

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Package GofCens updated to version 1.0 with previous version 0.98 dated 2024-03-22

Title: Goodness-of-Fit Methods for Complete and Right-Censored Data
Description: Graphical tools and goodness-of-fit tests for complete and right-censored data: 1. Kolmogorov-Smirnov, Cramér-von Mises, and Anderson-Darling tests, which use the empirical distribution function for complete data and are extended for right-censored data. 2. Generalized chi-squared-type test, which is based on the squared differences between observed and expected counts using random cells with right-censored data. 3. A series of graphical tools such as probability or cumulative hazard plots to guide the decision about the most suitable parametric model for the data.
Author: Klaus Langohr [aut, cre], Mireia Besalu [aut], Matilde Francisco [aut], Guadalupe Gomez [aut]
Maintainer: Klaus Langohr <klaus.langohr@upc.edu>

Diff between GofCens versions 0.98 dated 2024-03-22 and 1.0 dated 2024-05-23

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New package lfproQC with initial version 0.1.0
Package: lfproQC
Title: Quality Control for Label-Free Proteomics Expression Data
Version: 0.1.0
Maintainer: Kabilan S <kabilan151414@gmail.com>
Description: Label-free bottom-up proteomics expression data is often affected by data heterogeneity and missing values. Normalization and missing value imputation are commonly used techniques to address these issues and make the dataset suitable for further downstream analysis. This package provides an optimal combination of normalization and imputation methods for the dataset. The package utilizes three normalization methods and three imputation methods.The statistical evaluation measures named pooled co-efficient of variance, pooled estimate of variance and pooled median absolute deviation are used for selecting the best combination of normalization and imputation method for the given dataset. The user can also visualize the results by using various plots available in this package. The user can also perform the differential expression analysis between two sample groups with the function included in this package. The chosen three normalization methods, three imputation methods and three evaluati [...truncated...]
Imports: VIM, dplyr, limma, matrixStats, pcaMethods, vsn, reshape2, laeken, ggplot2, Hmisc, reshape, stats, tidyr, magrittr, plotly, MASS, tidyselect
Suggests: knitr, plyr, rmarkdown, testthat (>= 3.0.0), tibble
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.2)
LazyData: true
NeedsCompilation: no
Packaged: 2024-05-22 13:55:21 UTC; kabil
Author: Kabilan S [aut, cre], Dr Shashi Bhushan Lal [aut, ths], Dr Sudhir Srivastava [aut, ths], Dr Krishna Kumar Chaturvedi [ths], Dr Yasin Jeshima K [ths], Dr Ramasubramanian V [ths], Dr Girish Kumar Jha [ctb]
VignetteBuilder: knitr
Repository: CRAN
Date/Publication: 2024-05-23 16:10:02 UTC

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New package EGM with initial version 0.1.0
Package: EGM
Title: Evaluating Cardiac Electrophysiology Signals
Version: 0.1.0
Description: A system for importing electrophysiological signal, based on the 'Waveform Database (WFDB)' software package, written by Moody et al 2022 <doi:10.13026/gjvw-1m31>. A wrapper for utilizing 'WFDB' functions for reading and writing signal data, as well as functions for visualization and analysis are provided. A stable and broadly compatible class for working with signal data, supporting the reading in of cardiac electrophysiogical files such as intracardiac electrograms, is introduced.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0), vctrs (>= 0.5.0), data.table (>= 1.15.0)
Imports: stats, fs, ggplot2, lifecycle, rlang, utils, xml2, base64enc, checkmate, stringr,
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0), withr,
URL: https://shah-in-boots.github.io/EGM/
BugReports: https://github.com/shah-in-boots/EGM/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-05-22 14:45:59 UTC; asshah4
Author: Anish S. Shah [aut, cre, cph]
Maintainer: Anish S. Shah <ashah282@uic.edu>
Repository: CRAN
Date/Publication: 2024-05-23 16:10:05 UTC

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Package archetypal updated to version 1.3.1 with previous version 1.3.0 dated 2022-07-04

Title: Finds the Archetypal Analysis of a Data Frame
Description: Performs archetypal analysis by using Principal Convex Hull Analysis under a full control of all algorithmic parameters. It contains a set of functions for determining the initial solution, the optimal algorithmic parameters and the optimal number of archetypes. Post run tools are also available for the assessment of the derived solution. Morup, M., Hansen, LK (2012) <doi:10.1016/j.neucom.2011.06.033>. Hochbaum, DS, Shmoys, DB (1985) <doi:10.1287/moor.10.2.180>. Eddy, WF (1977) <doi:10.1145/355759.355768>. Barber, CB, Dobkin, DP, Huhdanpaa, HT (1996) <doi:10.1145/235815.235821>. Christopoulos, DT (2016) <doi:10.2139/ssrn.3043076>. Falk, A., Becker, A., Dohmen, T., Enke, B., Huffman, D., Sunde, U. (2018), <doi:10.1093/qje/qjy013>. Christopoulos, DT (2015) <doi:10.1016/j.jastp.2015.03.009> . Murari, A., Peluso, E., Cianfrani, Gaudio, F., Lungaroni, M., (2019), <doi:10.3390/e21040394>.
Author: Demetris Christopoulos [aut, cre], David Midgley [ctb], Sunil Venaik [ctb], INSEAD Fontainebleau France [fnd]
Maintainer: Demetris Christopoulos <dchristop@econ.uoa.gr>

Diff between archetypal versions 1.3.0 dated 2022-07-04 and 1.3.1 dated 2024-05-23

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New package stbl with initial version 0.1.1
Package: stbl
Title: Stabilize Function Arguments
Version: 0.1.1
Description: A set of consistent, opinionated functions to quickly check function arguments, coerce them to the desired configuration, or deliver informative error messages when that is not possible.
License: MIT + file LICENSE
URL: https://github.com/jonthegeek/stbl, https://jonthegeek.github.io/stbl/
BugReports: https://github.com/jonthegeek/stbl/issues
Imports: cli, glue, rlang (>= 1.1.0), vctrs
Suggests: stringi, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-05-22 12:49:52 UTC; jonth
Author: Jon Harmon [aut, cre, cph]
Maintainer: Jon Harmon <jonthegeek@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-23 15:40:02 UTC

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New package probstats4econ with initial version 0.2.0
Package: probstats4econ
Title: Companion Package to Probability and Statistics for Economics and Business
Version: 0.2.0
Description: Utilities for multiple hypothesis testing, companion datasets from "Probability and Statistics for Economics and Business: An Introduction Using R" by Jason Abrevaya (MIT Press, under contract).
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Suggests: testthat (>= 3.0.0), estimatr (>= 1.0.0)
URL: https://www.probstats4econ.com/package.html, https://www.probstats4econ.com/
Contact: abrevaya@austin.utexas.edu
NeedsCompilation: no
Packaged: 2024-05-22 13:05:01 UTC; nate
Author: Jason Abrevaya [aut, cph], Nathan Gardner Hattersley [aut, cre]
Maintainer: Nathan Gardner Hattersley <nhattersley@utexas.edu>
Repository: CRAN
Date/Publication: 2024-05-23 15:40:08 UTC

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Package predhy updated to version 2.1.1 with previous version 2.1.0 dated 2024-03-29

Title: Genomic Prediction of Hybrid Performance
Description: Performs genomic prediction of hybrid performance using eight GS methods including GBLUP, BayesB, RKHS, PLS, LASSO, Elastic net, LightGBM and XGBoost. It also provides fast cross-validation and mating design scheme for training population (Xu S et al (2016) <doi:10.1111/tpj.13242>; Xu S (2017) <doi:10.1534/g3.116.038059>).
Author: Yang Xu, Guangning Yu, Yanru Cui, Shizhong Xu, Chenwu Xu
Maintainer: Yang Xu <xuyang_89@126.com>

Diff between predhy versions 2.1.0 dated 2024-03-29 and 2.1.1 dated 2024-05-23

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Package iMRMC updated to version 2.0.0 with previous version 1.2.5 dated 2023-05-15

Title: Multi-Reader, Multi-Case Analysis Methods (ROC, Agreement, and Other Metrics)
Description: This software does Multi-Reader, Multi-Case (MRMC) analyses of data from imaging studies where clinicians (readers) evaluate patient images (cases). What does this mean? ... Many imaging studies are designed so that every reader reads every case in all modalities, a fully-crossed study. In this case, the data is cross-correlated, and we consider the readers and cases to be cross-correlated random effects. An MRMC analysis accounts for the variability and correlations from the readers and cases when estimating variances, confidence intervals, and p-values. The functions in this package can treat arbitrary study designs and studies with missing data, not just fully-crossed study designs. An overview of this software, including references presenting details on the methods, can be found here: <https://www.fda.gov/medical-devices/science-and-research-medical-devices/imrmc-software-do-multi-reader-multi-case-statistical-analysis-reader-studies>.
Author: Brandon Gallas
Maintainer: Brandon Gallas <Brandon.Gallas@fda.hhs.gov>

Diff between iMRMC versions 1.2.5 dated 2023-05-15 and 2.0.0 dated 2024-05-23

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Package healthyR.data updated to version 1.1.0 with previous version 1.0.3 dated 2023-05-05

Title: Data Only Package to 'healthyR'
Description: Provides data for functions typically used in the 'healthyR' package.
Author: Steven Sanderson [aut, cre, cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>

Diff between healthyR.data versions 1.0.3 dated 2023-05-05 and 1.1.0 dated 2024-05-23

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New package gpuR with initial version 2.0.6
Package: gpuR
Title: GPU Functions for R Objects
Description: Provides GPU enabled functions for 'R' objects in a simple and approachable manner. New 'gpu*' and 'vcl*' classes have been provided to wrap typical 'R' objects (e.g. vector, matrix), in both host and device spaces, to mirror typical 'R' syntax without the need to know 'OpenCL'.
Version: 2.0.6
Date: 2024-05-22
Maintainer: Ruoyong Xu <ruoyong.xu@mail.utoronto.ca>
VignetteBuilder: knitr
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.0.2), methods, utils
Imports: Rcpp (>= 0.12.15), RViennaCL, BH, RcppEigen
LinkingTo: Rcpp (>= 0.12.15), RcppEigen (>= 0.3.3.4.0), RViennaCL (>= 1.7.1.7), BH
NeedsCompilation: yes
Suggests: testthat, knitr
URL: https://github.com/eborgnine/gpuR
BugReports: https://github.com/cdeterman/gpuR/issues/new
SystemRequirements: C++11 (supporting at least std=c++0x), OpenCL shared library (provided by an SDK such as AMD/NVIDIA) and OpenCL headers including the C++ header file (provided by Khronos if not by SDK)
OS_type: unix
Packaged: 2024-05-22 13:53:23 UTC; ruoyong
Author: Charles Determan Jr [aut, cph], Patrick Brown [aut, ctb] , Ruoyong Xu [cre, ctb] , The Khronos Group Inc [cph]
Repository: CRAN
Date/Publication: 2024-05-23 16:00:02 UTC

More information about gpuR at CRAN
Permanent link

New package factorplot with initial version 1.2.3
Package: factorplot
Title: Presenting Pairwise Comparisons
Version: 1.2.3
Depends: multcomp
Suggests: nnet, carData
Description: The tools herein calculate, print, summarize and plot pairwise differences that result from generalized linear models, general linear hypothesis tests and multinomial logistic regression models. For more information, see Armstrong (2013) <doi:10.32614/RJ-2013-021>.
License: GPL (>= 2)
LazyLoad: yes
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-05-22 13:23:01 UTC; david
Author: Dave Armstrong [aut, cre]
Maintainer: Dave Armstrong <davearmstrong.ps@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-23 15:50:07 UTC

More information about factorplot at CRAN
Permanent link

New package nadiv with initial version 2.18.0
Package: nadiv
Title: (Non)Additive Genetic Relatedness Matrices
Version: 2.18.0
URL: https://github.com/matthewwolak/nadiv
BugReports: https://github.com/matthewwolak/nadiv/issues
Depends: R (>= 4.2.0), Matrix
Suggests: parallel
Enhances: MCMCglmm, asreml
Imports: graphics, methods, stats
License: GPL (>= 2)
LazyData: yes
NeedsCompilation: yes
Description: Constructs (non)additive genetic relationship matrices, and their inverses, from a pedigree to be used in linear mixed effect models (A.K.A. the 'animal model'). Also includes other functions to facilitate the use of animal models. 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>).
Encoding: UTF-8
Packaged: 2024-05-23 12:43:09 UTC; mew0099
Author: Matthew Wolak [cre, aut]
Maintainer: Matthew Wolak <matthewwolak@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-23 14:40:02 UTC

More information about nadiv at CRAN
Permanent link

Package incidence2 updated to version 2.3.0 with previous version 2.2.3 dated 2023-12-05

Title: Compute, Handle and Plot Incidence of Dated Events
Description: Provides functions and classes to compute, handle and visualise incidence from dated events for a defined time interval. Dates can be provided in various standard formats. The class 'incidence2' is used to store computed incidence and can be easily manipulated, subsetted, and plotted. This package is part of the RECON (<https://www.repidemicsconsortium.org/>) toolkit for outbreak analysis (<https://www.reconverse.org>).
Author: Tim Taylor [aut, cre] , Thibaut Jombart [ctb]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

Diff between incidence2 versions 2.2.3 dated 2023-12-05 and 2.3.0 dated 2024-05-23

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More information about incidence2 at CRAN
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Package HYPEtools updated to version 1.6.2 with previous version 1.6.1 dated 2024-01-12

Title: Tools for Processing and Analyzing Files from the Hydrological Catchment Model HYPE
Description: Work with model files (setup, input, output) from the hydrological catchment model HYPE: Streamlined file import and export, standard evaluation plot routines, diverse post-processing and aggregation routines for hydrological model analysis.
Author: Rene Capell [aut, cre] , Conrad Brendel [aut] , Jafet Andersson [ctb], David Gustafsson [ctb], Jude Musuuza [ctb], Jude Lubega [ctb]
Maintainer: Rene Capell <hypetools.rene@smhi.se>

Diff between HYPEtools versions 1.6.1 dated 2024-01-12 and 1.6.2 dated 2024-05-23

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More information about HYPEtools at CRAN
Permanent link

Package growR updated to version 1.3.0 with previous version 1.2.0 dated 2023-12-14

Title: Implementation of the Vegetation Model ModVege
Description: Run grass growth simulations using a grass growth model based on ModVege (Jouven, M., P. Carrère, and R. Baumont "Model Predicting Dynamics of Biomass, Structure and Digestibility of Herbage in Managed Permanent Pastures. 1. Model Description." (2006) <doi:10.1111/j.1365-2494.2006.00515.x>). The implementation in this package contains a few additions to the above cited version of ModVege, such as simulations of management decisions, and influences of snow cover. As such, the model is fit to simulate grass growth in mountainous regions, such as the Swiss Alps. The package also contains routines for calibrating the model and helpful tools for analysing model outputs and performance.
Author: Kevin Kramer [aut, cre, cph]
Maintainer: Kevin Kramer <kevin.pasqual.kramer@protonmail.ch>

Diff between growR versions 1.2.0 dated 2023-12-14 and 1.3.0 dated 2024-05-23

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Package geodist updated to version 0.1.0 with previous version 0.0.8 dated 2022-10-19

Title: Fast, Dependency-Free Geodesic Distance Calculations
Description: Dependency-free, ultra fast calculation of geodesic distances. Includes the reference nanometre-accuracy geodesic distances of Karney (2013) <doi:10.1007/s00190-012-0578-z>, as used by the 'sf' package, as well as Haversine and Vincenty distances. Default distance measure is the "Mapbox cheap ruler" which is generally more accurate than Haversine or Vincenty for distances out to a few hundred kilometres, and is considerably faster. The main function accepts one or two inputs in almost any generic rectangular form, and returns either matrices of pairwise distances, or vectors of sequential distances.
Author: Mark Padgham [aut, cre], Michael D. Sumner [aut], Charles F.F Karney [cph]
Maintainer: Mark Padgham <mark.padgham@email.com>

Diff between geodist versions 0.0.8 dated 2022-10-19 and 0.1.0 dated 2024-05-23

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Package bibliometrix updated to version 4.2.2 with previous version 4.2.1 dated 2024-04-30

Title: Comprehensive Science Mapping Analysis
Description: Tool for quantitative research in scientometrics and bibliometrics. It implements the comprehensive workflow for science mapping analysis proposed in Aria M. and Cuccurullo C. (2017) <doi:10.1016/j.joi.2017.08.007>. 'bibliometrix' provides various routines for importing bibliographic data from 'SCOPUS', 'Clarivate Analytics Web of Science' (<https://www.webofknowledge.com/>), 'Digital Science Dimensions' (<https://www.dimensions.ai/>), 'OpenAlex' (<https://openalex.org/>), 'Cochrane Library' (<https://www.cochranelibrary.com/>), 'Lens' (<https://lens.org>), and 'PubMed' (<https://pubmed.ncbi.nlm.nih.gov/>) databases, performing bibliometric analysis and building networks for co-citation, coupling, scientific collaboration and co-word analysis.
Author: Massimo Aria [cre, aut, cph] , Corrado Cuccurullo [aut]
Maintainer: Massimo Aria <aria@unina.it>

Diff between bibliometrix versions 4.2.1 dated 2024-04-30 and 4.2.2 dated 2024-05-23

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Package bayesMeanScale updated to version 0.1.3 with previous version 0.1.2 dated 2024-05-18

Title: Bayesian Post-Estimation on the Mean Scale
Description: Computes Bayesian posterior distributions of predictions, marginal effects, and differences of marginal effects for various generalized linear models. Importantly, the posteriors are on the mean (response) scale, allowing for more natural interpretation than summaries on the link scale. Also, predictions and marginal effects of the count probabilities for Poisson and negative binomial models can be computed.
Author: David M. Dalenberg [aut, cre]
Maintainer: David M. Dalenberg <dalenbe2@gmail.com>

Diff between bayesMeanScale versions 0.1.2 dated 2024-05-18 and 0.1.3 dated 2024-05-23

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Package TreeSearch updated to version 1.5.1 with previous version 1.5.0 dated 2024-04-03

Title: Phylogenetic Analysis with Discrete Character Data
Description: Reconstruct phylogenetic trees from discrete data. Inapplicable character states are handled using the algorithm of Brazeau, Guillerme and Smith (2019) <doi:10.1093/sysbio/syy083> with the "Morphy" library, under equal or implied step weights. Contains a "shiny" user interface for interactive tree search and exploration of results, including character visualization, rogue taxon detection, tree space mapping, and cluster consensus trees (Smith 2022a, b) <doi:10.1093/sysbio/syab099>, <doi:10.1093/sysbio/syab100>. Profile Parsimony (Faith and Trueman, 2001) <doi:10.1080/10635150118627>, Successive Approximations (Farris, 1969) <doi:10.2307/2412182> and custom optimality criteria are implemented.
Author: Martin R. Smith [aut, cre, cph] , Martin Brazeau [cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

Diff between TreeSearch versions 1.5.0 dated 2024-04-03 and 1.5.1 dated 2024-05-23

 DESCRIPTION                              |    6 -
 MD5                                      |   36 ++++----
 NEWS.md                                  |    7 +
 R/SPR.R                                  |   99 +++++++++++++++-------
 R/TBR.R                                  |  135 ++++++++++++++++++++++---------
 R/length_range.R                         |    2 
 build/partial.rdb                        |binary
 inst/REFERENCES.bib                      |    2 
 inst/WORDLIST                            |    1 
 inst/doc/custom.html                     |   33 +++----
 inst/doc/getting-started.html            |    6 -
 inst/doc/profile-scores.html             |    7 -
 inst/doc/profile.html                    |    9 +-
 inst/doc/tree-search.html                |   23 ++---
 inst/doc/tree-space.html                 |   13 +-
 man/MinimumLength.Rd                     |    2 
 man/TBR.Rd                               |    4 
 tests/testthat/test-length_range.R       |    2 
 tests/testthat/test-zzz-tree-rearrange.R |    2 
 19 files changed, 248 insertions(+), 141 deletions(-)

More information about TreeSearch at CRAN
Permanent link

Package zcurve updated to version 2.4.1 with previous version 2.4.0 dated 2023-10-27

Title: An Implementation of Z-Curves
Description: An implementation of z-curves - a method for estimating expected discovery and replicability rates on the bases of test-statistics of published studies. The package provides functions for fitting the new density and EM version (Bartoš & Schimmack, 2020, <doi:10.31234/osf.io/urgtn>), censored observations, as well as the original density z-curve (Brunner & Schimmack, 2020, <doi:10.15626/MP.2018.874>). Furthermore, the package provides summarizing and plotting functions for the fitted z-curve objects. See the aforementioned articles for more information about the z-curves, expected discovery and replicability rates, validation studies, and limitations.
Author: Frantisek Bartos [aut, cre], Ulrich Schimmack [aut]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

Diff between zcurve versions 2.4.0 dated 2023-10-27 and 2.4.1 dated 2024-05-23

 DESCRIPTION                  |    7 +++--
 MD5                          |   16 ++++++-------
 R/data-preparation.R         |   51 ++++++++++++++++++++++++++++++++-----------
 R/main.R                     |   31 ++++++++++++++++++++------
 R/zcurve_clustered.R         |   12 +++++++++-
 build/partial.rdb            |binary
 man/zcurve-package.Rd        |    1 
 man/zcurve_data.Rd           |   12 +++++-----
 tests/testthat/test-zcurve.R |    8 +++---
 9 files changed, 96 insertions(+), 42 deletions(-)

More information about zcurve at CRAN
Permanent link

Package rgbif updated to version 3.8.0 with previous version 3.7.9 dated 2024-01-11

Title: Interface to the Global Biodiversity Information Facility API
Description: A programmatic interface to the Web Service methods provided by the Global Biodiversity Information Facility (GBIF; <https://www.gbif.org/developer/summary>). GBIF is a database of species occurrence records from sources all over the globe. rgbif includes functions for searching for taxonomic names, retrieving information on data providers, getting species occurrence records, getting counts of occurrence records, and using the GBIF tile map service to make rasters summarizing huge amounts of data.
Author: Scott Chamberlain [aut] , Damiano Oldoni [aut] , Vijay Barve [ctb] , Peter Desmet [ctb] , Laurens Geffert [ctb], Dan Mcglinn [ctb] , Karthik Ram [ctb] , rOpenSci [fnd] , John Waller [aut, cre]
Maintainer: John Waller <jwaller@gbif.org>

Diff between rgbif versions 3.7.9 dated 2024-01-11 and 3.8.0 dated 2024-05-23

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 rgbif-3.8.0/rgbif/DESCRIPTION                                                 |    6 
 rgbif-3.8.0/rgbif/MD5                                                         |  307 
 rgbif-3.8.0/rgbif/NAMESPACE                                                   |    2 
 rgbif-3.8.0/rgbif/NEWS.md                                                     |   27 
 rgbif-3.8.0/rgbif/R/download_predicate_dsl.R                                  |   11 
 rgbif-3.8.0/rgbif/R/gbif_citation.R                                           |   64 
 rgbif-3.8.0/rgbif/R/geometry_utils.R                                          |    4 
 rgbif-3.8.0/rgbif/R/name_lookup.r                                             |  424 
 rgbif-3.8.0/rgbif/R/occ_count.r                                               |   76 
 rgbif-3.8.0/rgbif/R/occ_data.R                                                |  271 
 rgbif-3.8.0/rgbif/R/occ_download.R                                            |    1 
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 rgbif-3.8.0/rgbif/R/occ_search.r                                              |  244 
 rgbif-3.8.0/rgbif/R/wkt_parse.R                                               |  105 
 rgbif-3.8.0/rgbif/R/zzz.r                                                     |    2 
 rgbif-3.8.0/rgbif/man/download_predicate_dsl.Rd                               |    1 
 rgbif-3.8.0/rgbif/man/gbif_citation.Rd                                        |   25 
 rgbif-3.8.0/rgbif/man/name_lookup.Rd                                          |    3 
 rgbif-3.8.0/rgbif/man/occ_data.Rd                                             |  551 
 rgbif-3.8.0/rgbif/man/occ_download.Rd                                         |    1 
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 rgbif-3.8.0/rgbif/man/occ_search.Rd                                           |  238 
 rgbif-3.8.0/rgbif/man/wkt_parse.Rd                                            |   11 
 rgbif-3.8.0/rgbif/tests/fixtures/dataset.yml                                  | 1260 
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 rgbif-3.8.0/rgbif/tests/fixtures/dataset_search.yml                           | 7396 ++---
 rgbif-3.8.0/rgbif/tests/fixtures/dataset_search_facet.yml                     |   47 
 rgbif-3.8.0/rgbif/tests/fixtures/dataset_suggest.yml                          | 5287 +---
 rgbif-3.8.0/rgbif/tests/fixtures/dataset_suggest_description.yml              | 3090 +-
 rgbif-3.8.0/rgbif/tests/fixtures/dataset_uuid_funs.yml                        | 2034 -
 rgbif-3.8.0/rgbif/tests/fixtures/derived_dataset_1.yml                        |    8 
 rgbif-3.8.0/rgbif/tests/fixtures/derived_dataset_2.yml                        |    6 
 rgbif-3.8.0/rgbif/tests/fixtures/enumeration.yml                              |   54 
 rgbif-3.8.0/rgbif/tests/fixtures/enumeration_fails_well.yml                   |    2 
 rgbif-3.8.0/rgbif/tests/fixtures/gbif_citation_downloadkey.yml                |    2 
 rgbif-3.8.0/rgbif/tests/fixtures/gbif_citation_occ_download_meta.yml          |    2 
 rgbif-3.8.0/rgbif/tests/fixtures/gbif_oai_get_records.yml                     |    4 
 rgbif-3.8.0/rgbif/tests/fixtures/gbif_oai_identify.yml                        |    4 
 rgbif-3.8.0/rgbif/tests/fixtures/gbif_oai_list_identifiers.yml                |    4 
 rgbif-3.8.0/rgbif/tests/fixtures/gbif_oai_list_metadataformats.yml            |    4 
 rgbif-3.8.0/rgbif/tests/fixtures/gbif_oai_list_sets.yml                       | 2465 -
 rgbif-3.8.0/rgbif/tests/fixtures/installations.yml                            | 3807 +-
 rgbif-3.8.0/rgbif/tests/fixtures/installations_deleted.yml                    |    4 
 rgbif-3.8.0/rgbif/tests/fixtures/installations_uuid.yml                       |    2 
 rgbif-3.8.0/rgbif/tests/fixtures/installations_uuid_data.yml                  |    2 
 rgbif-3.8.0/rgbif/tests/fixtures/map_fetch_png.yml                            | 1744 -
 rgbif-3.8.0/rgbif/tests/fixtures/map_fetch_terra.yml                          | 6717 ++---
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 rgbif-3.8.0/rgbif/tests/fixtures/name_usage_data_name.yml                     |   12 
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 rgbif-3.8.0/rgbif/tests/fixtures/name_usage_data_synonyms.yml                 |    4 
 rgbif-3.8.0/rgbif/tests/fixtures/name_usage_data_typeSpecimens.yml            |    4 
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 rgbif-3.8.0/rgbif/tests/fixtures/name_usage_fails_well.yml                    |    4 
 rgbif-3.8.0/rgbif/tests/fixtures/network.yml                                  |   56 
 rgbif-3.8.0/rgbif/tests/fixtures/network_constituents.yml                     |13000 ++++------
 rgbif-3.8.0/rgbif/tests/fixtures/nodes.yml                                    | 6166 ++--
 rgbif-3.8.0/rgbif/tests/fixtures/occ_count.yml                                |   28 
 rgbif-3.8.0/rgbif/tests/fixtures/occ_count_.yml                               |   30 
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 rgbif-3.8.0/rgbif/tests/fixtures/occ_data_args_with_many_inputs.yml           | 3072 +-
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 rgbif-3.8.0/rgbif/tests/fixtures/occ_data_isInCluster.yml                     |  539 
 rgbif-3.8.0/rgbif/tests/fixtures/occ_data_iucnRedListCategory.yml             | 1067 
 rgbif-3.8.0/rgbif/tests/fixtures/occ_data_key_gbifid_character_class.yml      |  504 
 rgbif-3.8.0/rgbif/tests/fixtures/occ_data_lifeStage.yml                       | 1045 
 rgbif-3.8.0/rgbif/tests/fixtures/occ_data_networkKey.yml                      |  957 
 rgbif-3.8.0/rgbif/tests/fixtures/occ_data_occurrenceId.yml                    |  788 
 rgbif-3.8.0/rgbif/tests/fixtures/occ_data_occurrencestatus.yml                |  573 
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 rgbif-3.8.0/rgbif/tests/testthat/test-occ_get.r                               |    2 
 rgbif-3.8.0/rgbif/tests/testthat/test-occ_search.r                            |   51 
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 177 files changed, 43863 insertions(+), 42734 deletions(-)

More information about rgbif at CRAN
Permanent link

Package backports updated to version 1.5.0 with previous version 1.4.1 dated 2021-12-13

Title: Reimplementations of Functions Introduced Since R-3.0.0
Description: Functions introduced or changed since R v3.0.0 are re-implemented in this package. The backports are conditionally exported in order to let R resolve the function name to either the implemented backport, or the respective base version, if available. Package developers can make use of new functions or arguments by selectively importing specific backports to support older installations.
Author: Michel Lang [cre, aut] , Duncan Murdoch [aut], R Core Team [aut]
Maintainer: Michel Lang <michellang@gmail.com>

Diff between backports versions 1.4.1 dated 2021-12-13 and 1.5.0 dated 2024-05-23

 DESCRIPTION                      |   11 +++++++----
 MD5                              |   31 ++++++++++++++++++++++---------
 NAMESPACE                        |    7 +++++++
 NEWS.md                          |    5 +++++
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 R/import.R                       |   12 +++++++-----
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 23 files changed, 85 insertions(+), 19 deletions(-)

More information about backports at CRAN
Permanent link

Package rio updated to version 1.1.0 with previous version 1.0.1 dated 2023-09-19

Title: A Swiss-Army Knife for Data I/O
Description: Streamlined data import and export by making assumptions that the user is probably willing to make: 'import()' and 'export()' determine the data format from the file extension, reasonable defaults are used for data import and export, web-based import is natively supported (including from SSL/HTTPS), compressed files can be read directly, and fast import packages are used where appropriate. An additional convenience function, 'convert()', provides a simple method for converting between file types.
Author: Jason Becker [aut], Chung-hong Chan [aut, cre] , David Schoch [aut] , Geoffrey CH Chan [ctb], Thomas J. Leeper [aut] , Christopher Gandrud [ctb], Andrew MacDonald [ctb], Ista Zahn [ctb], Stanislaus Stadlmann [ctb], Ruaridh Williamson [ctb], Patrick K [...truncated...]
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>

Diff between rio versions 1.0.1 dated 2023-09-19 and 1.1.0 dated 2024-05-23

 rio-1.0.1/rio/R/convert_google_url.R                         |only
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 rio-1.1.0/rio/NEWS.md                                        |   24 +
 rio-1.1.0/rio/R/compression.R                                |  121 ++++--
 rio-1.1.0/rio/R/export.R                                     |   15 
 rio-1.1.0/rio/R/export_list.R                                |    9 
 rio-1.1.0/rio/R/extensions.R                                 |    2 
 rio-1.1.0/rio/R/import.R                                     |   56 +-
 rio-1.1.0/rio/R/import_list.R                                |   81 +---
 rio-1.1.0/rio/R/import_methods.R                             |   84 ++--
 rio-1.1.0/rio/R/remote_to_local.R                            |  113 ++---
 rio-1.1.0/rio/R/rio.R                                        |   17 
 rio-1.1.0/rio/R/set_class.R                                  |    3 
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Package funStatTest updated to version 1.0.3 with previous version 1.0.2 dated 2023-04-20

Title: Statistical Testing for Functional Data
Description: Implementation of two sample comparison procedures based on median-based statistical tests for functional data, introduced in Smida et al (2022) <doi:10.1080/10485252.2022.2064997>. Other competitive state-of-the-art approaches proposed by Chakraborty and Chaudhuri (2015) <doi:10.1093/biomet/asu072>, Horvath et al (2013) <doi:10.1111/j.1467-9868.2012.01032.x> or Cuevas et al (2004) <doi:10.1016/j.csda.2003.10.021> are also included in the package, as well as procedures to run test result comparisons and power analysis using simulations.
Author: Zaineb Smida [aut] , Ghislain Durif [aut, cre] , Lionel Cucala [aut]
Maintainer: Ghislain Durif <gd.dev@libertymail.net>

Diff between funStatTest versions 1.0.2 dated 2023-04-20 and 1.0.3 dated 2024-05-23

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New package vek with initial version 1.0.0
Package: vek
Title: Predicate Helper Functions for Testing Simple Atomic Vectors
Version: 1.0.0
Maintainer: Sam Semegne <sam.ahoi@hotmail.com>
Description: Predicate helper functions for testing atomic vectors in R. All functions take a single argument 'x' and check whether it's of the target type of base-R atomic vector (i.e. no class extensions nor attributes other than 'names'), returning TRUE or FALSE. Some additionally check for value (e.g. absence of missing values, infinities, blank characters, or 'names' attribute; or having length 1).
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.0.0)
Suggests: tinytest (>= 1.4.1)
URL: https://github.com/samsemegne/vek
NeedsCompilation: no
Packaged: 2024-05-22 07:36:31 UTC; Sam
Author: Sam Semegne [aut, cre]
Repository: CRAN
Date/Publication: 2024-05-23 07:40:03 UTC

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Package TKCat updated to version 1.1.8 with previous version 1.1.7 dated 2024-05-08

Title: Tailored Knowledge Catalog
Description: Facilitate the management of data from knowledge resources that are frequently used alone or together in research environments. In 'TKCat', knowledge resources are manipulated as modeled database (MDB) objects. These objects provide access to the data tables along with a general description of the resource and a detail data model documenting the tables, their fields and their relationships. These MDBs are then gathered in catalogs that can be easily explored an shared. Finally, 'TKCat' provides tools to easily subset, filter and combine MDBs and create new catalogs suited for specific needs.
Author: Patrice Godard [aut, cre, cph]
Maintainer: Patrice Godard <patrice.godard@gmail.com>

Diff between TKCat versions 1.1.7 dated 2024-05-08 and 1.1.8 dated 2024-05-23

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New package SoilFunctionality with initial version 0.1.0
Package: SoilFunctionality
Title: Soil Functionality Measurement
Version: 0.1.0
Maintainer: Tanuj Misra <tanujmisra102@gmail.com>
Description: Generally, soil functionality is characterized by its capability to sustain microbial activity, nutritional element supply, structural stability and aid for crop production. Since soil functions can be linked to 80% of ecosystem services, conservation of degraded land should strive to restore not only the capacity of soil to sustain flora but also ecosystem provisions. The primary ecosystem services of soil are carbon sequestration, food or biomass production, provision of microbial habitat, nutrient recycling. However, the actual magnitude of soil functions provided by agricultural land uses has never been quantified. Nutrient supply capacity (NSC) is a measure of nutrient dynamics in restored land uses. Carbon accumulation proficiency (CAP) is a measure of ecosystem carbon sequestration. Biological activity index (BAI) is the average of responses of all enzyme activities in treated land over control/reference land. The CAP parameter investigates how land uses may affect carbon flows, [...truncated...]
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-05-22 07:11:23 UTC; LENOVO
Author: Avijit Ghosh [aut, cph], Tanuj Misra [aut, cre, cph], Amit Kumar Singh [aut, cph], Arun Shukla [aut, cph], Saurav Singla [aut, ctb, cph]
Repository: CRAN
Date/Publication: 2024-05-23 07:30:02 UTC

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Package snotelr updated to version 1.4 with previous version 1.2 dated 2023-09-16

Title: Calculate and Visualize 'SNOTEL' Snow Data and Seasonality
Description: Programmatic interface to the 'SNOTEL' snow data (<https://www.nrcs.usda.gov/programs-initiatives/sswsf-snow-survey-and-water-supply-forecasting-program>). Provides easy downloads of snow data into your R work space or a local directory. Additional post-processing routines to extract snow season indexes are provided.
Author: Koen Hufkens [aut, cre] , BlueGreen Labs [cph, fnd]
Maintainer: Koen Hufkens <koen.hufkens@gmail.com>

Diff between snotelr versions 1.2 dated 2023-09-16 and 1.4 dated 2024-05-23

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Package saeTrafo updated to version 1.0.3 with previous version 1.0.2 dated 2023-12-11

Title: Transformations for Unit-Level Small Area Models
Description: The aim of this package is to offer new methodology for unit-level small area models under transformations and limited population auxiliary information. In addition to this new methodology, the widely used nested error regression model without transformations (see "An Error-Components Model for Prediction of County Crop Areas Using Survey and Satellite Data" by Battese, Harter and Fuller (1988) <doi:10.1080/01621459.1988.10478561>) and its well-known uncertainty estimate (see "The estimation of the mean squared error of small-area estimators" by Prasad and Rao (1990) <doi:10.1080/01621459.1995.10476570>) are provided. In this package, the log transformation and the data-driven log-shift transformation are provided. If a transformation is selected, an appropriate method is chosen depending on the respective input of the population data: Individual population data (see "Empirical best prediction under a nested error model with log transformation" by Molina and Martín (2018) & [...truncated...]
Author: Nora Wuerz [aut]
Maintainer: Nora Wuerz <nora.wuerz@uni-bamberg.de>

Diff between saeTrafo versions 1.0.2 dated 2023-12-11 and 1.0.3 dated 2024-05-23

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Package Rilostat updated to version 2.1.0 with previous version 2.0.0 dated 2024-02-20

Title: ILO Open Data via Ilostat Bulk Download Facility
Description: Tools to download data from the ilostat database <https://ilostat.ilo.org> together with search and manipulation utilities.
Author: David Bescond [aut, cre] , Mabelin Villarreal-Fuentes [ctb] , ILO Department of Statistics [cph, fnd]
Maintainer: David Bescond <bescond@ilo.org>

Diff between Rilostat versions 2.0.0 dated 2024-02-20 and 2.1.0 dated 2024-05-23

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New package MetaNLP with initial version 0.1.2
Package: MetaNLP
Title: Natural Language Processing for Meta Analysis
Version: 0.1.2
Description: Given a CSV file with titles and abstracts, the package creates a word count matrix that is lemmatized and stemmed and can directly be used to train machine learning methods for automatic title-abstract screening in the preparation of a meta analysis.
License: MIT + file LICENSE
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), covr, wordcloud, vdiffr
Imports: glmnet, tm, textstem, methods, lexicon, utils
Encoding: UTF-8
BugReports: https://github.com/imbi-heidelberg/MetaNLP/issues
URL: https://github.com/imbi-heidelberg/MetaNLP
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-05-21 20:21:15 UTC; Nico Bruder
Author: Nico Bruder [aut], Samuel Zimmermann [aut] , Johannes Vey [aut] , Maximilian Pilz [aut, cre] , Institute of Medical Biometry - University of Heidelberg [cph]
Maintainer: Maximilian Pilz <maximilian.pilz@itwm.fraunhofer.de>
Repository: CRAN
Date/Publication: 2024-05-23 07:30:05 UTC

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Package ggdaynight updated to version 0.1.3 with previous version 0.1.1 dated 2024-05-21

Title: Add Day/Night Patterns to 'ggplot2' Plots
Description: It provides a custom 'ggplot2' geom to add day/night patterns to plots. It visually distinguishes daytime and nighttime periods. It is useful for visualizing data that spans multiple days and for highlighting diurnal patterns.
Author: Gabriel S. Pires [aut, cre, cph]
Maintainer: Gabriel S. Pires <gabriel.slpires@gmail.com>

Diff between ggdaynight versions 0.1.1 dated 2024-05-21 and 0.1.3 dated 2024-05-23

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Package microeco updated to version 1.7.1 with previous version 1.7.0 dated 2024-05-15

Title: Microbial Community Ecology Data Analysis
Description: A series of statistical and plotting approaches in microbial community ecology based on the R6 class. The classes are designed for data preprocessing, taxa abundance plotting, alpha diversity analysis, beta diversity analysis, differential abundance test, null model analysis, network analysis, machine learning, environmental data analysis and functional analysis.
Author: Chi Liu [aut, cre], Felipe R. P. Mansoldo [ctb], Minjie Yao [ctb], Xiangzhen Li [ctb]
Maintainer: Chi Liu <liuchi0426@126.com>

Diff between microeco versions 1.7.0 dated 2024-05-15 and 1.7.1 dated 2024-05-23

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Package blockCV updated to version 3.1-4 with previous version 3.1-3 dated 2023-06-04

Title: Spatial and Environmental Blocking for K-Fold and LOO Cross-Validation
Description: Creating spatially or environmentally separated folds for cross-validation to provide a robust error estimation in spatially structured environments; Investigating and visualising the effective range of spatial autocorrelation in continuous raster covariates and point samples to find an initial realistic distance band to separate training and testing datasets spatially described in Valavi, R. et al. (2019) <doi:10.1111/2041-210X.13107>.
Author: Roozbeh Valavi [aut, cre] , Jane Elith [aut], Jose Lahoz-Monfort [aut], Ian Flint [aut], Gurutzeta Guillera-Arroita [aut]
Maintainer: Roozbeh Valavi <valavi.r@gmail.com>

Diff between blockCV versions 3.1-3 dated 2023-06-04 and 3.1-4 dated 2024-05-23

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Package ARDECO (with last version 1.0.0) was removed from CRAN

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

2024-03-11 1.0.0
2023-11-30 0.1.1
2023-11-28 0.1.0

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Package SWTools updated to version 1.0.2 with previous version 1.0.1 dated 2024-02-02

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 1.0.1 dated 2024-02-02 and 1.0.2 dated 2024-05-23

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Package moderate.mediation updated to version 0.0.10 with previous version 0.0.9 dated 2024-04-23

Title: Causal Moderated Mediation Analysis
Description: Causal moderated mediation analysis using the methods proposed by Qin and Wang (2023) <doi:10.3758/s13428-023-02095-4>. Causal moderated mediation analysis is crucial for investigating how, for whom, and where a treatment is effective by assessing the heterogeneity of mediation mechanism across individuals and contexts. This package enables researchers to estimate and test the conditional and moderated mediation effects, assess their sensitivity to unmeasured pre-treatment confounding, and visualize the results. The package is built based on the quasi-Bayesian Monte Carlo method, because it has relatively better performance at small sample sizes, and its running speed is the fastest. The package is applicable to a treatment of any scale, a binary or continuous mediator, a binary or continuous outcome, and one or more moderators of any scale.
Author: Xu Qin [aut, cre, cph], Lijuan Wang [ctb]
Maintainer: Xu Qin <xuqin@pitt.edu>

Diff between moderate.mediation versions 0.0.9 dated 2024-04-23 and 0.0.10 dated 2024-05-23

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