Thu, 27 Apr 2023

Package stampr updated to version 0.3.0 with previous version 0.2 dated 2018-04-18

Title: Spatial Temporal Analysis of Moving Polygons
Description: Perform spatial temporal analysis of moving polygons; a longstanding analysis problem in Geographic Information Systems. Facilitates directional analysis, distance analysis, and some other simple functionality for examining spatial-temporal patterns of moving polygons.
Author: Jed Long [aut, cre] , Colin Robertson [aut]
Maintainer: Jed Long <jed.long@uwo.ca>

Diff between stampr versions 0.2 dated 2018-04-18 and 0.3.0 dated 2023-04-27

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More information about stampr at CRAN
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Package radsafer updated to version 2.2.8 with previous version 2.2.6 dated 2022-02-01

Title: Radiation Safety
Description: Provides functions for radiation safety, also known as "radiation protection" and "radiological control". The science of radiation protection is called "health physics" and its engineering functions are called "radiological engineering". Functions in this package cover many of the computations needed by radiation safety professionals. Examples include: obtaining updated calibration and source check values for radiation monitors to account for radioactive decay in a reference source, simulating instrument readings to better understand measurement uncertainty, correcting instrument readings for geometry and ambient atmospheric conditions. Many of these functions are described in Johnson and Kirby (2011, ISBN-13: 978-1609134198). Utilities are also included for developing inputs and processing outputs with radiation transport codes, such as MCNP, a general-purpose Monte Carlo N-Particle code that can be used for neutron, photon, electron, or coupled neutron/photon/electron transport (Wern [...truncated...]
Author: Mark Hogue <mark.hogue.chp@gmail.com>
Maintainer: Mark Hogue <mark.hogue.chp@gmail.com>

Diff between radsafer versions 2.2.6 dated 2022-02-01 and 2.2.8 dated 2023-04-27

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More information about radsafer at CRAN
Permanent link

New package mixedBayes with initial version 0.1.0
Package: mixedBayes
Title: Bayesian Longitudinal Regularized Quantile Mixed Model
Version: 0.1.0
Date: 2023-04-03
Description: In longitudinal studies, the same subjects are measured repeatedly over time, leading to correlations among the repeated measurements. Properly accounting for the intra-cluster correlations in the presence of data heterogeneity and long tailed distributions of the disease phenotype is challenging, especially in the context of high dimensional regressions. Here, we aim at developing novel Bayesian regularized quantile mixed effect models to tackle these challenges. We have proposed a Bayesian variable selection in the mixed effect models for longitudinal genomics studies. To dissect important gene - environment interactions, our model can simultaneously identify important main and interaction effects on the individual and group level, which have been facilitated by imposing the spike- and -slab priors through Laplacian shrinkage in the Bayesian quantile hierarchical models. The within - subject dependence among data can be accommodated by incorporating the random effects. An efficient G [...truncated...]
Depends: R (>= 4.2.0)
License: GPL-2
Encoding: UTF-8
URL: https://github.com/kunfa/mixedBayes
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2023-04-24 23:00:04 UTC; grimf
Author: Kun Fan [aut, cre], Cen Wu [aut]
Maintainer: Kun Fan <kfan@ksu.edu>
Repository: CRAN
Date/Publication: 2023-04-27 21:00:02 UTC

More information about mixedBayes at CRAN
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Package gtsummary updated to version 1.7.1 with previous version 1.7.0 dated 2023-01-13

Title: Presentation-Ready Data Summary and Analytic Result Tables
Description: Creates presentation-ready tables summarizing data sets, regression models, and more. The code to create the tables is concise and highly customizable. Data frames can be summarized with any function, e.g. mean(), median(), even user-written functions. Regression models are summarized and include the reference rows for categorical variables. Common regression models, such as logistic regression and Cox proportional hazards regression, are automatically identified and the tables are pre-filled with appropriate column headers.
Author: Daniel D. Sjoberg [aut, cre] , Joseph Larmarange [aut] , Michael Curry [aut] , Jessica Lavery [aut] , Karissa Whiting [aut] , Emily C. Zabor [aut] , Xing Bai [ctb], Esther Drill [ctb] , Jessica Flynn [ctb] , Margie Hannum [ctb] , Stephanie Lobaugh [c [...truncated...]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>

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Package GNAR updated to version 1.1.2 with previous version 1.1.1 dated 2020-11-11

Title: Methods for Fitting Network Time Series Models
Description: Simulation of, and fitting models for, Generalised Network Autoregressive (GNAR) time series models which take account of network structure, potentially with exogenous variables. Such models are described in Knight et al. (2020) <doi:10.18637/jss.v096.i05> and Nason and Wei (2021) <doi:10.1111/rssa.12875>.
Author: Kathryn Leeming [aut], Guy Nason [aut], Matt Nunes [aut, cre], Marina Knight [ctb], James Wei [aut]
Maintainer: Matt Nunes <nunesrpackages@gmail.com>

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New package CRE with initial version 0.2.3
Package: CRE
Title: Interpretable Subgroups Identification Through Ensemble Learning of Causal Rules
Version: 0.2.3
Maintainer: Naeem Khoshnevis <nkhoshnevis@g.harvard.edu>
Description: Provides an interpretable identification of subgroups with heterogeneous causal effect. The heterogeneous subgroups are discovered through ensemble learning of causal rules. Causal rules are highly interpretable if-then statement that recursively partition the features space into heterogeneous subgroups. A small number of significant causal rules are selected through Stability Selection to control for family-wise error rate in the finite sample setting. It proposes various estimation methods for the conditional causal effects for each discovered causal rule. It is highly flexible and multiple causal estimands and imputation methods are implemented. Lee, K., Bargagli-Stoffi, F. J., & Dominici, F. (2020). Causal rule ensemble: Interpretable inference of heterogeneous treatment effects. arXiv preprint <arXiv:2009.09036>.
License: GPL-3
URL: https://github.com/NSAPH-Software/CRE
BugReports: https://github.com/NSAPH-Software/CRE/issues
Depends: R (>= 3.5.0)
Imports: MASS, stats, logger, gbm, randomForest, methods, xgboost, RRF, data.table, xtable, glmnet, bartCause, stabs, stringr, SuperLearner, magrittr, ggplot2, inTrees
Suggests: baggr, grf, BART, gnm, covr, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Copyright: Harvard University
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2023-04-27 18:06:00 UTC; nak443
Author: Naeem Khoshnevis [aut, cre] , Daniela Maria Garcia [aut] , Riccardo Cadei [aut] , Kwonsang Lee [aut] , Falco Joannes Bargagli Stoffi [aut]
Repository: CRAN
Date/Publication: 2023-04-27 20:20:02 UTC

More information about CRE at CRAN
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Package BayesQVGEL (with last version 0.1.2) was removed from CRAN

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

2023-04-26 0.1.2
2023-04-18 0.1.1
2023-04-17 0.1.0

Permanent link
Package regfilter updated to version 1.0.3 with previous version 1.0.2 dated 2022-03-10

Title: Elimination of Noisy Samples in Regression Datasets using Noise Filters
Description: Traditional noise filtering methods aim at removing noisy samples from a classification dataset. This package adapts classic and recent filtering techniques to be used in regression problems. To do this, it uses the approach proposed in Martin (2021) [<doi:10.1109/ACCESS.2021.3123151>]. Thus, the goal of the implemented noise filters is to eliminate samples with noise in regression datasets.
Author: Juan Martin [aut, cre], Jose A. Saez [aut], Emilio Corchado [aut], Pablo Morales [ctb] , Julian Luengo [ctb] , Luis P.F. Garcia [ctb] , Ana C. Lorena [ctb] , Andre C.P.L.F. de Carvalho [ctb] , Francisco Herrera [ctb]
Maintainer: Juan Martin <juanmartin@usal.es>

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Package oldbailey updated to version 1.1.0 with previous version 1.0.0 dated 2023-03-26

Title: For Accessing the Old Bailey Open Data
Description: Fetch trial data from the Old Bailey Online API <https://www.oldbaileyonline.org/static/DocAPI.jsp>. Data is returned in an analysis-ready data frame with fields for metadata including (but not limited to) the names of the first person speakers, defendants, victims, their recorded genders, verdicts, punishments, crime locations, and dates. Optional parameters allow users to specify the number of results, whether these results contain key terms, and trial dates.
Author: Steph Buongiorno [aut, cre]
Maintainer: Steph Buongiorno <steph.buon@gmail.com>

Diff between oldbailey versions 1.0.0 dated 2023-03-26 and 1.1.0 dated 2023-04-27

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Package HIMA updated to version 2.2.0 with previous version 2.0.1 dated 2022-07-18

Title: High-Dimensional Mediation Analysis
Description: Allows to estimate and test high-dimensional mediation effects based on advanced mediator screening and penalized regression techniques. Methods used in the package refer to Zhang H, Zheng Y, Zhang Z, Gao T, Joyce B, Yoon G, Zhang W, Schwartz J, Just A, Colicino E, Vokonas P, Zhao L, Lv J, Baccarelli A, Hou L, Liu L. Estimating and Testing High-dimensional Mediation Effects in Epigenetic Studies. Bioinformatics. (2016) <doi:10.1093/bioinformatics/btw351>. PMID: 27357171.
Author: Yinan Zheng [aut, cre], Haixiang Zhang [aut], Lifang Hou [aut], Lei Liu [aut, cph]
Maintainer: Yinan Zheng <y-zheng@northwestern.edu>

Diff between HIMA versions 2.0.1 dated 2022-07-18 and 2.2.0 dated 2023-04-27

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Package gaiah updated to version 0.0.5 with previous version 0.0.4 dated 2020-05-18

Title: Genetic and Isotopic Assignment Accounting for Habitat Suitability
Description: Tools for using genetic markers, stable isotope data, and habitat suitability data to calculate posterior probabilities of breeding origin of migrating birds.
Author: Eric C. Anderson [cre, aut]
Maintainer: Eric C. Anderson <eric.anderson@noaa.gov>

Diff between gaiah versions 0.0.4 dated 2020-05-18 and 0.0.5 dated 2023-04-27

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Package fcaR updated to version 1.2.1 with previous version 1.2.0 dated 2022-09-04

Title: Formal Concept Analysis
Description: Provides tools to perform fuzzy formal concept analysis, presented in Wille (1982) <doi:10.1007/978-3-642-01815-2_23> and in Ganter and Obiedkov (2016) <doi:10.1007/978-3-662-49291-8>. It provides functions to load and save a formal context, extract its concept lattice and implications. In addition, one can use the implications to compute semantic closures of fuzzy sets and, thus, build recommendation systems.
Author: Domingo Lopez Rodriguez [aut, cre] , Angel Mora [aut], Jesus Dominguez [aut], Ana Villalon [aut], Ian Johnson [ctb]
Maintainer: Domingo Lopez Rodriguez <dominlopez@uma.es>

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Package adjclust updated to version 0.6.7 with previous version 0.6.6 dated 2022-09-14

Title: Adjacency-Constrained Clustering of a Block-Diagonal Similarity Matrix
Description: Implements a constrained version of hierarchical agglomerative clustering, in which each observation is associated to a position, and only adjacent clusters can be merged. Typical application fields in bioinformatics include Genome-Wide Association Studies or Hi-C data analysis, where the similarity between items is a decreasing function of their genomic distance. Taking advantage of this feature, the implemented algorithm is time and memory efficient. This algorithm is described in Ambroise et al (2019) <doi:10.1186/s13015-019-0157-4>.
Author: Christophe Ambroise [aut], Shubham Chaturvedi [aut], Alia Dehman [aut], Pierre Neuvial [aut, cre], Guillem Rigaill [aut], Nathalie Vialaneix [aut], Gabriel Hoffman [aut]
Maintainer: Pierre Neuvial <pierre.neuvial@math.univ-toulouse.fr>

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More information about adjclust at CRAN
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Package units updated to version 0.8-2 with previous version 0.8-1 dated 2022-12-10

Title: Measurement Units for R Vectors
Description: Support for measurement units in R vectors, matrices and arrays: automatic propagation, conversion, derivation and simplification of units; raising errors in case of unit incompatibility. Compatible with the POSIXct, Date and difftime classes. Uses the UNIDATA udunits library and unit database for unit compatibility checking and conversion. Documentation about 'units' is provided in the paper by Pebesma, Mailund & Hiebert (2016, <doi:10.32614/RJ-2016-061>), included in this package as a vignette; see 'citation("units")' for details.
Author: Edzer Pebesma [aut, cre] , Thomas Mailund [aut], Tomasz Kalinowski [aut], James Hiebert [ctb], Inaki Ucar [aut] , Thomas Lin Pedersen [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between units versions 0.8-1 dated 2022-12-10 and 0.8-2 dated 2023-04-27

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New package fractalRegression with initial version 1.1
Package: fractalRegression
Title: Performs Fractal Analysis and Fractal Regression
Version: 1.1
Date: 2023-04-26
Description: Various functions for performing fractal and multifractal analysis including performing fractal regression. Please refer to Peng and colleagues (1994) <doi:10.1103/physreve.49.1685>, Kantelhardt and colleagues (2002)<doi:10.1016/S0378-4371(02)01383-3>, and Likens and colleagues (2019) <doi:10.1016/j.physa.2019.121580>.
License: GPL (>= 3)
Depends: R (>= 3.5.0)
Suggests: knitr, markdown, rmarkdown, ggplot2, crqa, MFDFA, fracdiff, tseries, fields, gridExtra, qpdf
Encoding: UTF-8
Imports: Rcpp (>= 1.0.0), colorRamps
LazyData: true
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
NeedsCompilation: yes
Packaged: 2023-04-26 22:00:48 UTC; aaronlikens
Author: Aaron Likens [aut, cre] , Travis Wiltshire [aut]
Maintainer: Aaron Likens <alikens@unomaha.edu>
Repository: CRAN
Date/Publication: 2023-04-27 16:40:06 UTC

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Package SimPhe (with last version 0.2.0) was removed from CRAN

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

2018-09-13 0.2.0
2017-01-04 0.1.1
2017-01-03 0.1.0

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Package DominoDataCapture (with last version 0.1.1) was removed from CRAN

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

2021-11-07 0.1.1
2021-11-02 0.1.0

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Package xml2 updated to version 1.3.4 with previous version 1.3.3 dated 2021-11-30

Title: Parse XML
Description: Work with XML files using a simple, consistent interface. Built on top of the 'libxml2' C library.
Author: Hadley Wickham [aut, cre], Jim Hester [aut], Jeroen Ooms [aut], RStudio [cph, fnd], R Foundation [ctb]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between xml2 versions 1.3.3 dated 2021-11-30 and 1.3.4 dated 2023-04-27

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Package VARSELECTEXPOSURE updated to version 1.0.3 with previous version 1.0.2 dated 2023-04-20

Title: Variable Selection Methods Including an Exposure Variable
Description: Utilizes multiple variable selection methods to estimate Average Treatment Effect.
Author: Alex Martinez [aut, cre], Andrew Chapple [aut]
Maintainer: Alex Martinez <ahmartinez283@gmail.com>

Diff between VARSELECTEXPOSURE versions 1.0.2 dated 2023-04-20 and 1.0.3 dated 2023-04-27

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New package predRupdate with initial version 0.1.0
Package: predRupdate
Title: Prediction Model Validation and Updating
Version: 0.1.0
Description: Evaluate the predictive performance of an existing (i.e. previously developed) prediction/ prognostic model given relevant information about the existing prediction model (e.g. coefficients) and a new dataset. Provides a range of model updating methods that help tailor the existing model to the new dataset; see Su et al. (2018) <doi:10.1177/0962280215626466>. Techniques to aggregate multiple existing prediction models on the new data are also provided; see Debray et al. (2014) <doi:10.1002/sim.6080> and Martin et al. (2018) <doi:10.1002/sim.7586>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/GlenMartin31/predRupdate, https://glenmartin31.github.io/predRupdate/
BugReports: https://github.com/GlenMartin31/predRupdate/issues
Suggests: covr, knitr, rmarkdown, spelling, testthat (>= 3.0.0)
Imports: utils, stats, survival, pROC, ggplot2, ggExtra, rlang
Depends: R (>= 2.10)
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2023-04-26 18:01:22 UTC; glenmartin
Author: Glen P. Martin [aut, cre, cph] , David Jenkins [aut, cph], Matthew Sperrin [aut, cph]
Maintainer: Glen P. Martin <glen.martin31@gmail.com>
Repository: CRAN
Date/Publication: 2023-04-27 13:00:02 UTC

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Package naturaList updated to version 0.5.1 with previous version 0.5.0 dated 2022-04-20

Title: Classify Occurrences by Confidence Levels in the Species ID
Description: Classify occurrence records based on confidence levels of species identification. In addition, implement tools to filter occurrences inside grid cells and to manually check for possibles errors with an interactive shiny application.
Author: Arthur Vinicius Rodrigues [aut, cre] , Gabriel Nakamura [aut] , Leandro Duarte [aut]
Maintainer: Arthur Vinicius Rodrigues <rodrigues.arthur.v@gmail.com>

Diff between naturaList versions 0.5.0 dated 2022-04-20 and 0.5.1 dated 2023-04-27

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Package moderate.mediation updated to version 0.0.4 with previous version 0.0.3 dated 2023-04-26

Title: Causal Moderated Mediation Analysis
Description: Causal moderated mediation analysis using the methods proposed by Qin and Wang (2022). 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 0.0.3 dated 2023-04-26 and 0.0.4 dated 2023-04-27

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Package mbmixture updated to version 0.4 with previous version 0.2-5 dated 2020-10-22

Title: Microbiome Mixture Analysis
Description: Evaluate whether a microbiome sample is a mixture of two samples, by fitting a model for the number of read counts as a function of single nucleotide polymorphism (SNP) allele and the genotypes of two potential source samples. Lobo et al. (2021) <doi:10.1093/g3journal/jkab308>.
Author: Karl W Broman [aut, cre]
Maintainer: Karl W Broman <broman@wisc.edu>

Diff between mbmixture versions 0.2-5 dated 2020-10-22 and 0.4 dated 2023-04-27

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Package imagine updated to version 2.0.0 with previous version 1.5.4 dated 2022-10-20

Title: IMAGing engINEs, Tools for Application of Image Filters to Data Matrices
Description: Provides fast application of image filters to data matrices, using R and C++ algorithms.
Author: Wencheng Lau-Medrano [aut, cre]
Maintainer: Wencheng Lau-Medrano <luis.laum@gmail.com>

Diff between imagine versions 1.5.4 dated 2022-10-20 and 2.0.0 dated 2023-04-27

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New package EpiNow2 with initial version 1.3.5
Package: EpiNow2
Title: Estimate Real-Time Case Counts and Time-Varying Epidemiological Parameters
Version: 1.3.5
Description: Estimates the time-varying reproduction number, rate of spread, and doubling time using a range of open-source tools (Abbott et al. (2020) <doi:10.12688/wellcomeopenres.16006.1>), and current best practices (Gostic et al. (2020) <doi:10.1101/2020.06.18.20134858>). It aims to help users avoid some of the limitations of naive implementations in a framework that is informed by community feedback and is actively supported.
License: MIT + file LICENSE
URL: https://epiforecasts.io/EpiNow2/, https://epiforecasts.io/EpiNow2/dev/, https://github.com/epiforecasts/EpiNow2
BugReports: https://github.com/epiforecasts/EpiNow2/issues
Depends: R (>= 3.5.0)
Imports: data.table, futile.logger (>= 1.4), future, future.apply, ggplot2, lifecycle, lubridate, methods, patchwork, progressr, purrr, R.utils (>= 2.0.0), Rcpp (>= 0.12.0), rlang (>= 0.4.7), rstan (>= 2.21.1), rstantools (>= 2.2.0), runner, scales, stats, truncnorm, utils
Suggests: covr, dplyr, here, kableExtra, knitr, magrittr, precommit, rmarkdown, spelling, styler, testthat, tidyr, withr
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.21.1), StanHeaders (>= 2.21.0-5)
Biarch: true
Encoding: UTF-8
Language: en-GB
LazyData: true
NeedsCompilation: yes
SystemRequirements: GNU make C++17
VignetteBuilder: knitr
Packaged: 2023-04-27 10:39:09 UTC; seabbs
Author: Sam Abbott [aut, cre] , Joel Hellewell [aut] , Katharine Sherratt [aut], Katelyn Gostic [aut], Joe Hickson [aut], Hamada S. Badr [aut] , Michael DeWitt [aut] , Robin Thompson [ctb], Sophie Meakin [ctb], James Munday [ctb], Nikos Bosse [ctb], Paul Mee [...truncated...]
Maintainer: Sam Abbott <sam.abbott@lshtm.ac.uk>
Repository: CRAN
Date/Publication: 2023-04-27 13:20:04 UTC

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Package cropcircles updated to version 0.2.2.1 with previous version 0.2.2 dated 2023-04-20

Title: Crops an Image to a Circle
Description: Images are cropped to a circle with a transparent background. The function takes a vector of images, either local or from a link, and circle crops the image. Paths to the cropped image are returned for plotting with 'ggplot2'.
Author: Daniel Oehm [aut, cre]
Maintainer: Daniel Oehm <danieloehm@gmail.com>

Diff between cropcircles versions 0.2.2 dated 2023-04-20 and 0.2.2.1 dated 2023-04-27

 DESCRIPTION |    6 +++---
 MD5         |    6 +++---
 NEWS.md     |    4 ++++
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 4 files changed, 11 insertions(+), 10 deletions(-)

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Package TreeSearch updated to version 1.3.2 with previous version 1.3.1 dated 2023-03-29

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 1.3.1 dated 2023-03-29 and 1.3.2 dated 2023-04-27

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New package tidier with initial version 0.0.1
Package: tidier
Title: Enhanced 'mutate'
Version: 0.0.1
Description: Provides 'Apache Spark' style window aggregation for R dataframes via 'mutate' in 'dplyr' flavour.
Imports: dplyr (>= 1.1.0), tidyr (>= 1.3.0), checkmate (>= 2.1.0), rlang (>= 1.0.6), slider (>= 0.2.2), magrittr (>= 1.5), furrr (>= 0.3.0),
Suggests: lubridate, stringr, testthat,
URL: https://github.com/talegari/tidier
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-04-26 12:09:53 UTC; s0k06e8
Author: Srikanth Komala Sheshachala [aut, cre]
Maintainer: Srikanth Komala Sheshachala <sri.teach@gmail.com>
Repository: CRAN
Date/Publication: 2023-04-27 12:40:02 UTC

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New package TheOpenAIR with initial version 0.1.0
Package: TheOpenAIR
Title: Integrate 'OpenAI' Large Language Models into Your 'R' Workflows
Version: 0.1.0
Maintainer: Ulrich Matter <umatter@protonmail.com>
Description: Utilizing the 'OpenAI' API as the back end (<https://platform.openai.com/docs/api-reference>), 'TheOpenAIR' offers 'R' wrapper functions for the 'ChatGPT' endpoint and several high-level functions that enable the integration of 'ChatGPT' capabilities in diverse data-related tasks, such as data cleansing and automated analytics script generation.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: readr, jsonlite, tidyr, dplyr, lubridate, testthat (>= 3.0.0), knitr, rmarkdown
Imports: reticulate, magrittr, tibble, methods, stringr, stringi, data.table, httr, R.utils, xml2, utils, cli, rstudioapi
URL: http://openair-lib.org/
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2023-04-26 08:24:54 UTC; jldc
Author: Ulrich Matter [aut, cre, cph], Jonathan Chassot [aut]
Repository: CRAN
Date/Publication: 2023-04-27 12:32:30 UTC

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New package SQL with initial version 0.1.0
Package: SQL
Title: Executes 'SQL' Statements
Version: 0.1.0
Description: Runs 'SQL' statements on in-memory data frames within a temporary in-memory 'duckdb' data base.
License: GPL (>= 2)
Encoding: UTF-8
ByteCompile: yes
Depends: R (>= 4.1.0)
Imports: DBI, duckdb, arrow, stringr
NeedsCompilation: no
Packaged: 2023-04-26 11:16:56 UTC; H2IZGK
Author: Jean-Luc Lipatz [aut, cre, cph]
Maintainer: Jean-Luc Lipatz <jllipatz@protonmail.com>
Repository: CRAN
Date/Publication: 2023-04-27 12:42:38 UTC

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New package RefBasedMI with initial version 0.1.0
Package: RefBasedMI
Title: Reference-Based Imputation for Longitudinal Clinical Trials with Protocol Deviation
Version: 0.1.0
Author: Kevin McGrath <kkevinmcgrath@yahoo.co.uk>
Maintainer: Matteo Quartagno <m.quartagno@ucl.ac.uk>
Description: Imputation of missing numerical outcomes for a longitudinal trial with protocol deviations. The package uses distinct treatment arm-based assumptions for the unobserved data, following the general algorithm of Carpenter, Roger, and Kenward (2013) <doi:10.1080/10543406.2013.834911>, and the causal model of White, Royes and Best (2020) <doi:10.1080/10543406.2019.1684308>. Sensitivity analyses to departures from these assumptions can be done by the Delta method of Roger. The program is derived from the 'mimix' 'Stata' package written by Suzie Cro, with additional coding for the causal model and delta method. The reference-based methods are jump to reference (J2R), copy increments in reference (CIR), copy reference (CR), and the causal model, all of which must specify the reference treatment arm. Other methods are missing at random (MAR) and the last mean carried forward (LMCF). Individual-specific imputation methods (and their reference groups) can be specified.
URL: https://github.com/UCL/RefBasedMI
License: GPL-3
Encoding: UTF-8
LazyData: yes
Imports: data.table, Hmisc, norm2, mice, pastecs, assertthat
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2023-04-26 09:18:48 UTC; rmjlmqu
Repository: CRAN
Date/Publication: 2023-04-27 12:42:41 UTC

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New package nbconv with initial version 1.0.0
Package: nbconv
Title: Evaluate Arbitrary Negative Binomial Convolutions
Version: 1.0.0
URL: https://github.com/gbedwell/nbconv
BugReports: https://github.com/gbedwell/nbconv/issues
Imports: parallel, matrixStats, stats
Description: Three distinct methods are implemented for evaluating the sums of arbitrary negative binomial distributions. These methods are: Furman's exact probability mass function (Furman (2007) <doi:10.1016/j.spl.2006.06.007>), saddlepoint approximation, and a method of moments approximation. Functions are provided to calculate the density function, the distribution function and the quantile function of the convolutions in question given said evaluation methods. Functions for generating random deviates from negative binomial convolutions and for directly calculating the mean, variance, skewness, and excess kurtosis of said convolutions are also provided.
Encoding: UTF-8
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2023-04-26 12:49:11 UTC; gbedwell
Author: Gregory Bedwell [aut, cre, cph]
Maintainer: Gregory Bedwell <gregoryjbedwell@gmail.com>
Repository: CRAN
Date/Publication: 2023-04-27 12:50:02 UTC

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New package deflist with initial version 0.2.0
Package: deflist
Title: Deferred List - A Read-Only List-Like Object with Deferred Access
Version: 0.2.0
Description: Implements the 'deflist' class, a read-only list-like object that accesses its elements via a function. The 'deflist' class can be used to model deferred access to data or computations by routing indexed list access to a function. This approach is particularly useful when sequential list-like access to data is required but holding all the data in memory at once is not feasible. The package also provides utilities for memoisation and caching to optimize access to frequently requested elements.
License: LGPL (>= 2.1)
Encoding: UTF-8
Imports: purrr, memoise, rlang, assertthat
Suggests: testthat (>= 3.0.0), covr, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://bbuchsbaum.github.io/deflist/
NeedsCompilation: no
Packaged: 2023-04-26 13:35:29 UTC; bbuchsbaum
Author: Bradley Buchsbaum [aut, cre]
Maintainer: Bradley Buchsbaum <brad.buchsbaum@gmail.com>
Repository: CRAN
Date/Publication: 2023-04-27 12:52:35 UTC

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Package s2 updated to version 1.1.3 with previous version 1.1.2 dated 2023-01-12

Title: Spherical Geometry Operators Using the S2 Geometry Library
Description: Provides R bindings for Google's s2 library for geometric calculations on the sphere. High-performance constructors and exporters provide high compatibility with existing spatial packages, transformers construct new geometries from existing geometries, predicates provide a means to select geometries based on spatial relationships, and accessors extract information about geometries.
Author: Dewey Dunnington [aut] , Edzer Pebesma [aut, cre] , Ege Rubak [aut], Jeroen Ooms [ctb] , Google, Inc. [cph]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between s2 versions 1.1.2 dated 2023-01-12 and 1.1.3 dated 2023-04-27

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Package TreeTools updated to version 1.9.2 with previous version 1.9.1 dated 2023-03-20

Title: Create, Modify and Analyse Phylogenetic Trees
Description: Efficient implementations of functions for the creation, modification and analysis of phylogenetic trees. Applications include: generation of trees with specified shapes; tree rearrangement; analysis of tree shape; rooting of trees and extraction of subtrees; calculation and depiction of split support; plotting the position of rogue taxa (Klopfstein & Spasojevic 2019) <doi:10.1371/journal.pone.0212942>; calculation of ancestor-descendant relationships, of 'stemwardness' (Asher & Smith, 2022) <doi:10.1093/sysbio/syab072>, and of tree balance (Mir et al. 2013) <doi:10.1016/j.mbs.2012.10.005>; artificial extinction (Asher & Smith, 2022) <doi:10.1093/sysbio/syab072>; import and export of trees from Newick, Nexus (Maddison et al. 1997) <doi:10.1093/sysbio/46.4.590>, and TNT <https://www.lillo.org.ar/phylogeny/tnt/> formats; and analysis of splits and cladistic information.
Author: Martin R. Smith [aut, cre, cph] , Emmanuel Paradis [cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

Diff between TreeTools versions 1.9.1 dated 2023-03-20 and 1.9.2 dated 2023-04-27

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Package symbol.equation.gpt updated to version 1.1.2 with previous version 1.1.1 dated 2023-03-21

Title: Powerful User Interface to Build Equations and Add Symbols
Description: User Interface for adding symbols, smileys, arrows, building mathematical equations using 'LaTeX' or 'r2symbols'. Built for use in development of 'Markdown' and 'Shiny' Outputs.
Author: Obinna Obianom [aut, cre]
Maintainer: Obinna Obianom <idonshayo@gmail.com>

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Package RGCCA updated to version 3.0.0 with previous version 2.1.2 dated 2017-05-11

Title: Regularized and Sparse Generalized Canonical Correlation Analysis for Multiblock Data
Description: Multi-block data analysis concerns the analysis of several sets of variables (blocks) observed on the same group of individuals. The main aims of the RGCCA package are: to study the relationships between blocks and to identify subsets of variables of each block which are active in their relationships with the other blocks. This package allows to (i) run R/SGCCA and related methods (\link{rgcca}), (ii) help the user to find out the optimal parameters for R/SGCCA such as regularization parameters (tau or sparsity) (\link{rgcca_permutation}, \link{rgcca_cv}), (iii) evaluate the stability of the RGCCA results and their significance (\link{rgcca_bootstrap} and \link{rgcca_stability}), (iv) build predictive models from the R/SGCCA (\link{rgcca_predict}), (v) Generic print() and plot() functions apply to all these functionalities.
Author: Fabien Girka [aut], Etienne Camenen [aut], Caroline Peltier [aut], Arnaud Gloaguen [aut], Vincent Guillemot [aut], Laurent Le Brusquet [ths], Arthur Tenenhaus [aut, ths, cre]
Maintainer: Arthur Tenenhaus <arthur.tenenhaus@centralesupelec.fr>

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Package pak updated to version 0.5.1 with previous version 0.5.0 dated 2023-04-20

Title: Another Approach to Package Installation
Description: The goal of 'pak' is to make package installation faster and more reliable. In particular, it performs all HTTP operations in parallel, so metadata resolution and package downloads are fast. Metadata and package files are cached on the local disk as well. 'pak' has a dependency solver, so it finds version conflicts before performing the installation. This version of 'pak' supports CRAN, 'Bioconductor' and 'GitHub' packages as well.
Author: Gabor Csardi [aut, cre], Jim Hester [aut], RStudio [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between pak versions 0.5.0 dated 2023-04-20 and 0.5.1 dated 2023-04-27

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New package mgee2 with initial version 0.4
Package: mgee2
Title: Marginal Analysis of Misclassified Longitudinal Ordinal Data
Version: 0.4
Description: Three estimating equation methods are provided in this package for marginal analysis of longitudinal ordinal data with misclassified responses and covariates. The naive analysis which is solely based on the observed data without adjustment may lead to bias. The corrected generalized estimating equations (GEE2) method which is unbiased requires the misclassification parameters to be known beforehand. The corrected generalized estimating equations (GEE2) with validation subsample method estimates the misclassification parameters based on a given validation set. This package is an implementation of Chen (2013) <doi:10.1002/bimj.201200195>.
Depends: R (>= 3.6.0)
License: GPL (>= 2)
Encoding: UTF-8
Imports: MASS, ggplot2
LazyData: true
Suggests: rmarkdown, knitr
NeedsCompilation: yes
Packaged: 2023-04-27 02:43:43 UTC; yuliangxu
Author: Yuliang Xu [aut, cre], Zhijian Chen [aut], Shuo Shuo Liu [aut], Grace Yi [aut]
Maintainer: Yuliang Xu <yuliangx@umich.edu>
Repository: CRAN
Date/Publication: 2023-04-27 09:40:02 UTC

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Package JointAI updated to version 1.0.5 with previous version 1.0.4 dated 2022-09-03

Title: Joint Analysis and Imputation of Incomplete Data
Description: Joint analysis and imputation of incomplete data in the Bayesian framework, using (generalized) linear (mixed) models and extensions there of, survival models, or joint models for longitudinal and survival data, as described in Erler, Rizopoulos and Lesaffre (2021) <doi:10.18637/jss.v100.i20>. Incomplete covariates, if present, are automatically imputed. The package performs some preprocessing of the data and creates a 'JAGS' model, which will then automatically be passed to 'JAGS' <https://mcmc-jags.sourceforge.io/> with the help of the package 'rjags'.
Author: Nicole S. Erler [aut, cre]
Maintainer: Nicole S. Erler <n.erler@erasmusmc.nl>

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Package checkmate updated to version 2.2.0 with previous version 2.1.0 dated 2022-04-21

Title: Fast and Versatile Argument Checks
Description: Tests and assertions to perform frequent argument checks. A substantial part of the package was written in C to minimize any worries about execution time overhead.
Author: Michel Lang [cre, aut] , Bernd Bischl [ctb], Denes Toth [ctb]
Maintainer: Michel Lang <michellang@gmail.com>

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Package simsalapar updated to version 1.0-12 with previous version 1.0-11 dated 2022-04-06

Title: Tools for Simulation Studies in Parallel
Description: Tools for setting up ("design"), conducting, and evaluating large-scale simulation studies with graphics and tables, including parallel computations.
Author: Marius Hofert and Martin Maechler <maechler@stat.math.ethz.ch>
Maintainer: Marius Hofert <mhofert@hku.hk>

Diff between simsalapar versions 1.0-11 dated 2022-04-06 and 1.0-12 dated 2023-04-27

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Package robslopes updated to version 1.1.3 with previous version 1.1.2 dated 2022-09-15

Title: Fast Algorithms for Robust Slopes
Description: Fast algorithms for the Theil-Sen estimator, Siegel's repeated median slope estimator, and Passing-Bablok regression. The implementation is based on algorithms by Dillencourt et. al (1992) <doi:10.1142/S0218195992000020> and Matousek et. al (1998) <doi:10.1007/PL00009190>. The implementations are detailed in Raymaekers (2023) <doi:10.32614/RJ-2023-012> and Raymaekers J., Dufey F. (2022) <arXiv:2202.08060>. All algorithms run in quasilinear time.
Author: Jakob Raymaekers
Maintainer: Jakob Raymaekers <j.raymaekers@maastrichtuniversity.nl>

Diff between robslopes versions 1.1.2 dated 2022-09-15 and 1.1.3 dated 2023-04-27

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Package rnoaa updated to version 1.4.0 with previous version 1.3.8 dated 2021-12-01

Title: 'NOAA' Weather Data from R
Description: Client for many 'NOAA' data sources including the 'NCDC' climate 'API' at <https://www.ncdc.noaa.gov/cdo-web/webservices/v2>, with functions for each of the 'API' 'endpoints': data, data categories, data sets, data types, locations, location categories, and stations. In addition, we have an interface for 'NOAA' sea ice data, the 'NOAA' severe weather inventory, 'NOAA' Historical Observing 'Metadata' Repository ('HOMR') data, 'NOAA' storm data via 'IBTrACS', tornado data via the 'NOAA' storm prediction center, and more.
Author: Scott Chamberlain [aut] , Daniel Hocking [aut, cre] , Brooke Anderson [ctb], Maelle Salmon [ctb], Adam Erickson [ctb], Nicholas Potter [ctb], Joseph Stachelek [ctb], Alex Simmons [ctb], Karthik Ram [ctb], Hart Edmund [ctb], rOpenSci [fnd]
Maintainer: Daniel Hocking <djhocking@gmail.com>

Diff between rnoaa versions 1.3.8 dated 2021-12-01 and 1.4.0 dated 2023-04-27

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More information about rnoaa at CRAN
Permanent link

Package RJDemetra updated to version 0.2.2 with previous version 0.2.1 dated 2022-11-11

Title: Interface to 'JDemetra+' Seasonal Adjustment Software
Description: Interface around 'JDemetra+' (<https://github.com/jdemetra/jdemetra-app>), the seasonal adjustment software officially recommended to the members of the European Statistical System (ESS) and the European System of Central Banks. It offers full access to all options and outputs of 'JDemetra+', including the two leading seasonal adjustment methods TRAMO/SEATS+ and X-12ARIMA/X-13ARIMA-SEATS.
Author: Alain Quartier-la-Tente [aut, cre] , Anna Michalek [aut], Jean Palate [aut], Raf Baeyens [aut]
Maintainer: Alain Quartier-la-Tente <alain.quartier@yahoo.fr>

Diff between RJDemetra versions 0.2.1 dated 2022-11-11 and 0.2.2 dated 2023-04-27

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Package quanteda.textstats updated to version 0.96.2 with previous version 0.96.1 dated 2023-03-08

Title: Textual Statistics for the Quantitative Analysis of Textual Data
Description: Textual statistics functions formerly in the 'quanteda' package. Textual statistics for characterizing and comparing textual data. Includes functions for measuring term and document frequency, the co-occurrence of words, similarity and distance between features and documents, feature entropy, keyword occurrence, readability, and lexical diversity. These functions extend the 'quanteda' package and are specially designed for sparse textual data.
Author: Kenneth Benoit [cre, aut, cph] , Kohei Watanabe [aut] , Haiyan Wang [aut] , Jiong Wei Lua [aut], Jouni Kuha [aut] , European Research Council [fnd]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

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Package qrnn updated to version 2.1 with previous version 2.0.5 dated 2019-09-13

Title: Quantile Regression Neural Network
Description: Fit quantile regression neural network models with optional left censoring, partial monotonicity constraints, generalized additive model constraints, and the ability to fit multiple non-crossing quantile functions following Cannon (2011) <doi:10.1016/j.cageo.2010.07.005> and Cannon (2018) <doi:10.1007/s00477-018-1573-6>.
Author: Alex J. Cannon [aut, cre]
Maintainer: Alex J. Cannon <alex.cannon@canada.ca>

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Package pGPx updated to version 0.1.3 with previous version 0.1.2 dated 2022-09-08

Title: Pseudo-Realizations for Gaussian Process Excursions
Description: Computes pseudo-realizations from the posterior distribution of a Gaussian Process (GP) with the method described in Azzimonti et al. (2016) <doi:10.1137/141000749>. The realizations are obtained from simulations of the field at few well chosen points that minimize the expected distance in measure between the true excursion set of the field and the approximate one. Also implements a R interface for (the main function of) Distance Transform of sampled Functions (<https://cs.brown.edu/people/pfelzens/dt/index.html>).
Author: Dario Azzimonti [aut, cre, cph] , Julien Bect [ctb], Pedro Felzenszwalb [ctb, cph]
Maintainer: Dario Azzimonti <dario.azzimonti@gmail.com>

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Package pathfindR.data updated to version 2.0.0 with previous version 1.1.3 dated 2022-12-11

Title: Data Package for 'pathfindR'
Description: This is a data-only package, containing data needed to run the CRAN package 'pathfindR', a package for enrichment analysis utilizing active subnetworks. This package contains protein-protein interaction network data, data related to gene sets and example input/output data.
Author: Ege Ulgen [cre, cph] , Ozan Ozisik [aut]
Maintainer: Ege Ulgen <egeulgen@gmail.com>

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Package npcs updated to version 0.1.1 with previous version 0.1.0 dated 2021-10-19

Title: Neyman-Pearson Classification via Cost-Sensitive Learning
Description: We connect the multi-class Neyman-Pearson classification (NP) problem to the cost-sensitive learning (CS) problem, and propose two algorithms (NPMC-CX and NPMC-ER) to solve the multi-class NP problem through cost-sensitive learning tools. Under certain conditions, the two algorithms are shown to satisfy multi-class NP properties. More details are available in the paper "Neyman-Pearson Multi-class Classification via Cost-sensitive Learning" (Ye Tian and Yang Feng, 2021).
Author: Ye Tian [aut], Ching-Tsung Tsai [aut, cre], Yang Feng [aut]
Maintainer: Ching-Tsung Tsai <tctsung@nyu.edu>

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Package iTensor updated to version 1.0.0 with previous version 0.99.0 dated 2022-06-14

Title: ICA-Based Matrix/Tensor Decomposition
Description: Some functions for performing ICA, MICA, Group ICA, and Multilinear ICA are implemented. ICA, MICA/Group ICA, and Multilinear ICA extract statistically independent components from single matrix, multiple matrices, and single tensor, respectively. For the details of these methods, see the reference section of GitHub README.md <https://github.com/rikenbit/iTensor>.
Author: Koki Tsuyuzaki [aut, cre]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>

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Package genepi updated to version 1.0.2 with previous version 1.0.1 dated 2010-10-01

Title: Genetic Epidemiology Design and Inference
Description: Package for Genetic Epidemiologic Methods Developed at MSKCC. It contains functions to calculate haplotype specific odds ratio and the power of two stage design for GWAS studies.
Author: Venkatraman E. Seshan
Maintainer: Venkatraman E. Seshan <seshanv@mskcc.org>

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Package fishmethods updated to version 1.12-1 with previous version 1.12-0 dated 2023-01-25

Title: Fishery Science Methods and Models
Description: Functions for applying a wide range of fisheries stock assessment methods.
Author: Gary A. Nelson <gary.nelson@mass.gov>
Maintainer: Gary A. Nelson <gary.nelson@mass.gov>

Diff between fishmethods versions 1.12-0 dated 2023-01-25 and 1.12-1 dated 2023-04-27

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Package edeaR updated to version 0.9.4 with previous version 0.9.3 dated 2023-02-16

Title: Exploratory and Descriptive Event-Based Data Analysis
Description: Exploratory and descriptive analysis of event based data. Provides methods for describing and selecting process data, and for preparing event log data for process mining. Builds on the S3-class for event logs implemented in the package 'bupaR'.
Author: Gert Janssenswillen [aut, cre], Gerard van Hulzen [ctb], Marijke Swennen [ctb], Ivan Esin [ctb], Hasselt University [cph]
Maintainer: Gert Janssenswillen <gert.janssenswillen@uhasselt.be>

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Package ebirdst updated to version 2.2021.2 with previous version 2.2021.1 dated 2023-04-06

Title: Access and Analyze eBird Status and Trends Data
Description: Tools to download, load, plot, and analyze eBird Status and Trends Data Products (<https://science.ebird.org/en/status-and-trends>). eBird (<https://ebird.org/home>) is a global database of bird observations collected by member of the public. eBird Status and Trends uses these data to model global bird abundances, range boundaries, and habitat associations at a high spatial and temporal resolution.
Author: Matthew Strimas-Mackey [aut, cre] , Shawn Ligocki [aut], Tom Auer [aut] , Daniel Fink [aut] , Cornell Lab of Ornithology [cph]
Maintainer: Matthew Strimas-Mackey <mes335@cornell.edu>

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Package critpath updated to version 0.2.0 with previous version 0.1.5 dated 2023-02-23

Title: Setting the Critical Path
Description: Solving the problem of project management using CPM (Critical Path Method), PERT (Program Evaluation and Review Technique) and LESS (Least Cost Estimating and Scheduling) methods. The package sets the critical path, schedule and Gantt chart. In addition, it allows to draw a graph even with marked critical activities. For more information about project management see: Taha H. A. "Operations Research. An Introduction" (2017, ISBN:978-1-292-16554-7), Rama Murthy P. "Operations Research" (2007, ISBN:978-81-224-2944-2), Yuval Cohen & Arik Sadeh (2006) "A New Approach for Constructing and Generating AOA Networks", Journal of Engineering, Computing and Architecture 1. 1-13, Konarzewska I., Jewczak M., Kucharski A. (2020, ISBN:978-83-8220-112-3), Miszczyńska D., Miszczyński M. "Wybrane metody badań operacyjnych" (2000, ISBN:83-907712-0-9).
Author: Adam Kucharski
Maintainer: Adam Kucharski <aqcharski@interia.pl>

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Package cir updated to version 2.3.1 with previous version 2.3.0 dated 2023-03-08

Title: Centered Isotonic Regression and Dose-Response Utilities
Description: Isotonic regression (IR) and its improvement: centered isotonic regression (CIR). CIR is recommended in particular with small samples. Also, interval estimates for both, and additional utilities such as plotting dose-response data. For dev version and change history, see GitHub assaforon/cir.
Author: Assaf P. Oron [cre, aut]
Maintainer: Assaf P. Oron <assaf.oron@gmail.com>

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Package anMC updated to version 0.2.4 with previous version 0.2.3 dated 2022-09-08

Title: Compute High Dimensional Orthant Probabilities
Description: Computationally efficient method to estimate orthant probabilities of high-dimensional Gaussian vectors. Further implements a function to compute conservative estimates of excursion sets under Gaussian random field priors.
Author: Dario Azzimonti [aut, cre, cph]
Maintainer: Dario Azzimonti <dario.azzimonti@gmail.com>

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 build/partial.rdb |binary
 src/Makevars      |    1 -
 src/Makevars.win  |    1 -
 7 files changed, 42 insertions(+), 34 deletions(-)

More information about anMC at CRAN
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Package microSTASIS (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:

2021-09-14 0.1.0

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Package IFAA (with last version 1.1.2) was removed from CRAN

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

2023-01-12 1.1.2
2022-11-02 1.1.0
2022-09-15 1.0.9
2022-08-26 1.0.8
2022-07-07 1.0.7
2022-04-13 1.0.6
2022-03-10 1.0.5
2022-01-05 1.0.4
2021-11-08 1.0.3
2021-07-20 1.0.2
2021-01-06 1.0.1
2020-11-04 1.0.0

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Package bettermc (with last version 1.2.1) was removed from CRAN

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

2023-04-12 1.2.1

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Built and running on Debian GNU/Linux using R, littler and blosxom. Styled with Bootstrap.