Wed, 02 Oct 2024

Package sched updated to version 1.0.3 with previous version 1.0.2 dated 2024-08-20

Title: Request Scheduler
Description: Offers classes and functions to contact web servers while enforcing scheduling rules required by the sites. The URL class makes it easy to construct a URL by providing parameters as a vector. The Request class allows to describes SOAP (Simple Object Access Protocol) or standard requests: URL, method (POST or GET), header, body. The Scheduler class controls the request frequency for each server address by mean of rules (Rule class). The RequestResult class permits to get the request status to handle error cases and the content.
Author: Pierrick Roger [aut, cre]
Maintainer: Pierrick Roger <pierrick.roger@cea.fr>

Diff between sched versions 1.0.2 dated 2024-08-20 and 1.0.3 dated 2024-10-02

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Package rlibkriging updated to version 0.9-0.4 with previous version 0.9-0.1 dated 2024-08-27

Title: Kriging Models using the 'libKriging' Library
Description: Interface to 'libKriging' 'C++' library <https://github.com/libKriging> that should provide most standard Kriging / Gaussian process regression features (like in 'DiceKriging', 'kergp' or 'RobustGaSP' packages). 'libKriging' relies on Armadillo linear algebra library (Apache 2 license) by Conrad Sanderson, 'lbfgsb_cpp' is a 'C++' port around 'lbfgsb' library (BSD-3 license) by Ciyou Zhu, Richard Byrd, Jorge Nocedal and Jose Luis Morales used for hyperparameters optimization.
Author: Yann Richet [aut, cre] , Pascal Have [aut], Yves Deville [aut], Conrad Sanderson [ctb], Ciyou Zhu [ctb], Richard Byrd [ctb], Jorge Nocedal [ctb], Jose Luis Morales [ctb], Mike Smith [ctb]
Maintainer: Yann Richet <yann.richet@irsn.fr>

Diff between rlibkriging versions 0.9-0.1 dated 2024-08-27 and 0.9-0.4 dated 2024-10-02

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Package repeated updated to version 1.1.10 with previous version 1.1.9 dated 2024-09-20

Title: Non-Normal Repeated Measurements Models
Description: Various functions to fit models for non-normal repeated measurements, such as Binary Random Effects Models with Two Levels of Nesting, Bivariate Beta-binomial Regression Models, Marginal Bivariate Binomial Regression Models, Cormack capture-recapture models, Continuous-time Hidden Markov Chain Models, Discrete-time Hidden Markov Chain Models, Changepoint Location Models using a Continuous-time Two-state Hidden Markov Chain, generalized nonlinear autoregression models, multivariate Gaussian copula models, generalized non-linear mixed models with one random effect, generalized non-linear mixed models using h-likelihood for one random effect, Repeated Measurements Models for Counts with Frailty or Serial Dependence, Repeated Measurements Models for Continuous Variables with Frailty or Serial Dependence, Ordinal Random Effects Models with Dropouts, marginal homogeneity models for square contingency tables, correlated negative binomial models with Kalman update. References include Lindsey's [...truncated...]
Author: Bruce Swihart [cre, aut], Jim Lindsey [aut] , T.R. Ten Have [ctb, cph] .), Richard Cook [ctb, cph] , Iain MacDonald [ctb, cph] , Walter Zucchini [ctb, cph] , Burton Garbow [ctb, cph] , Euginia Zharichenko [ctb, cph]
Maintainer: Bruce Swihart <bruce.swihart@gmail.com>

Diff between repeated versions 1.1.9 dated 2024-09-20 and 1.1.10 dated 2024-10-02

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New package Rcatch22 with initial version 0.2.3
Package: Rcatch22
Title: Calculation of 22 Canonical Time-Series Characteristics
Version: 0.2.3
Date: 2024-09-30
Maintainer: Trent Henderson <then6675@uni.sydney.edu.au>
Description: Calculate 22 summary statistics coded in C on time-series vectors to enable pattern detection, classification, and regression applications in the feature space as proposed by <doi:10.1007/s10618-019-00647-x>.
BugReports: https://github.com/hendersontrent/Rcatch22/issues/
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: rlang, stats, Rcpp (>= 0.12.15)
LinkingTo: Rcpp
Suggests: knitr, markdown, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-09-30 21:50:08 UTC; trenthenderson
Author: Trent Henderson [cre, aut], Carl Lubba [ctb]
Repository: CRAN
Date/Publication: 2024-10-02 22:30:03 UTC

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Package mi4p updated to version 1.2 with previous version 1.1 dated 2023-03-23

Title: Multiple Imputation for Proteomics
Description: A framework for multiple imputation for proteomics is proposed by Marie Chion, Christine Carapito and Frederic Bertrand (2021) <doi:10.1371/journal.pcbi.1010420>. It is dedicated to dealing with multiple imputation for proteomics.
Author: Marie Chion [aut] , Christine Carapito [aut] , Frederic Bertrand [cre, aut] , Gordon Smyth [ctb], Davis McCarthy [ctb], Helene Borges [ctb], Thomas Burger [ctb], Quentin Giai-Gianetto [ctb], Samuel Wieczorek [ctb]
Maintainer: Frederic Bertrand <frederic.bertrand@utt.fr>

Diff between mi4p versions 1.1 dated 2023-03-23 and 1.2 dated 2024-10-02

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Package FSelectorRcpp updated to version 0.3.13 with previous version 0.3.11 dated 2023-04-28

Title: 'Rcpp' Implementation of 'FSelector' Entropy-Based Feature Selection Algorithms with a Sparse Matrix Support
Description: 'Rcpp' (free of 'Java'/'Weka') implementation of 'FSelector' entropy-based feature selection algorithms based on an MDL discretization (Fayyad U. M., Irani K. B.: Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning. In 13'th International Joint Conference on Uncertainly in Artificial Intelligence (IJCAI93), pages 1022-1029, Chambery, France, 1993.) <https://www.ijcai.org/Proceedings/93-2/Papers/022.pdf> with a sparse matrix support.
Author: Zygmunt Zawadzki [aut, cre], Marcin Kosinski [aut], Krzysztof Slomczynski [ctb], Damian Skrzypiec [ctb], Patrick Schratz [ctb]
Maintainer: Zygmunt Zawadzki <zygmunt@zstat.pl>

Diff between FSelectorRcpp versions 0.3.11 dated 2023-04-28 and 0.3.13 dated 2024-10-02

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New package comparer with initial version 0.2.4
Package: comparer
Title: Compare Output and Run Time
Version: 0.2.4
Description: Quickly run experiments to compare the run time and output of code blocks. The function mbc() can make fast comparisons of code, and will calculate statistics comparing the resulting outputs. It can be used to compare model fits to the same data or see which function runs faster. The R6 class ffexp$new() runs a function using all possible combinations of selected inputs. This is useful for comparing the effect of different parameter values. It can also run in parallel and automatically save intermediate results, which is very useful for long computations.
License: GPL-3
Encoding: UTF-8
Imports: R6
Depends: GauPro (>= 0.2.7), mixopt, rmarkdown, plyr, progress
Suggests: testthat (>= 2.1.0), covr, knitr, ggplot2, GGally, ggpubr, ContourFunctions, parallel, snow, tibble, lhs, DiceKriging, DiceOptim, microbenchmark
URL: https://github.com/CollinErickson/comparer
BugReports: https://github.com/CollinErickson/comparer/issues
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2024-09-29 17:53:39 UTC; colli
Author: Collin Erickson [aut, cre]
Maintainer: Collin Erickson <collinberickson@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-02 22:50:03 UTC

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Package readBrukerFlexData updated to version 1.9.3 with previous version 1.9.2 dated 2024-01-22

Title: Reads Mass Spectrometry Data in Bruker *flex Format
Description: Reads data files acquired by Bruker Daltonics' matrix-assisted laser desorption/ionization-time-of-flight mass spectrometer of the *flex series.
Author: Sebastian Gibb [aut, cre] , Samuel Granjeaud [ctb], Alan Race [ctb]
Maintainer: Sebastian Gibb <mail@sebastiangibb.de>

Diff between readBrukerFlexData versions 1.9.2 dated 2024-01-22 and 1.9.3 dated 2024-10-02

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Package snotelr updated to version 1.5.1 with previous version 1.5 dated 2024-09-30

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 1.5 dated 2024-09-30 and 1.5.1 dated 2024-10-02

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Package rix updated to version 0.12.4 with previous version 0.12.3 dated 2024-09-26

Title: Reproducible Data Science Environments with 'Nix'
Description: Simplifies the creation of reproducible data science environments using the 'Nix' package manager, as described in Dolstra (2006) <ISBN 90-393-4130-3>. The included `rix()` function generates a complete description of the environment as a `default.nix` file, which can then be built using 'Nix'. This results in project specific software environments with pinned versions of R, packages, linked system dependencies, and other tools. Additional helpers make it easy to run R code in 'Nix' software environments for testing and production.
Author: Bruno Rodrigues [aut, cre] , Philipp Baumann [aut] , David Watkins [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/625>), Jacob Wujiciak-Jens [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/62 [...truncated...]
Maintainer: Bruno Rodrigues <bruno@brodrigues.co>

Diff between rix versions 0.12.3 dated 2024-09-26 and 0.12.4 dated 2024-10-02

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

Title: Pharmacokinetic Bioanalysis Experiments Design and Exploration
Description: Automate pharmacokinetic/pharmacodynamic bioanalytical procedures based on best practices and regulatory recommendations. The package impose regulatory constrains and sanity checking for common bioanalytical procedures. Additionally, 'PKbioanalysis' provides a relational infrastructure for plate management and injection sequence.
Author: Omar Elashkar [aut, cre]
Maintainer: Omar Elashkar <omar.i.elashkar@gmail.com>

Diff between PKbioanalysis versions 0.1.0 dated 2024-09-18 and 0.2.0 dated 2024-10-02

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Package hubEnsembles updated to version 0.1.9 with previous version 0.1.8 dated 2024-09-26

Title: Ensemble Methods for Combining Hub Model Outputs
Description: Functions for combining model outputs (e.g. predictions or estimates) from multiple models into an aggregated ensemble model output.
Author: Evan L Ray [aut], Li Shandross [aut, cre] , Emily Howerton [aut] , Anna Krystalli [ctb] , Zhian N. Kamvar [ctb] , Nicholas G. Reich [ctb] , Consortium of Infectious Disease Modeling Hubs [cph]
Maintainer: Li Shandross <lshandross@umass.edu>

Diff between hubEnsembles versions 0.1.8 dated 2024-09-26 and 0.1.9 dated 2024-10-02

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Package glmtlp updated to version 2.0.2 with previous version 2.0.1 dated 2021-12-17

Title: Generalized Linear Models with Truncated Lasso Penalty
Description: Extremely efficient procedures for fitting regularization path with l0, l1, and truncated lasso penalty for linear regression and logistic regression models. This version is a completely new version compared with our previous version, which was mainly based on R. New core algorithms are developed and are now written in C++ and highly optimized.
Author: Chunlin Li [aut, cph] , Yu Yang [aut, cre, cph] , Chong Wu [aut, cph] , Xiaotong Shen [ths, cph], Wei Pan [ths, cph]
Maintainer: Yu Yang <yuyang.stat@gmail.com>

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Package FossilSim updated to version 2.4.1 with previous version 2.4.0 dated 2024-09-05

Title: Simulation and Plots for Fossil and Taxonomy Data
Description: Simulating and plotting taxonomy and fossil data on phylogenetic trees under mechanistic models of speciation, preservation and sampling.
Author: Rachel Warnock [aut, cph], Joelle Barido-Sottani [aut, cre, cph], Walker Pett [aut, cph], O'Reilly Joseph [aut, cph], Ugnė Stolz [aut, cph]
Maintainer: Joelle Barido-Sottani <joelle.barido-sottani@m4x.org>

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Package EpiNow2 updated to version 1.6.0 with previous version 1.5.2 dated 2024-05-16

Title: Estimate Real-Time Case Counts and Time-Varying Epidemiological Parameters
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.
Author: Sam Abbott [aut] , Joel Hellewell [aut] , Katharine Sherratt [aut], Katelyn Gostic [aut], Joe Hickson [aut], Hamada S. Badr [aut] , Michael DeWitt [aut] , James M. Azam [aut] , Robin Thompson [ctb], Sophie Meakin [ctb], James Munday [ctb], Nikos Boss [...truncated...]
Maintainer: Sebastian Funk <sebastian.funk@lshtm.ac.uk>

Diff between EpiNow2 versions 1.5.2 dated 2024-05-16 and 1.6.0 dated 2024-10-02

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Package disaggregation updated to version 0.4.0 with previous version 0.3.0 dated 2023-11-08

Title: Disaggregation Modelling
Description: Fits disaggregation regression models using 'TMB' ('Template Model Builder'). When the response data are aggregated to polygon level but the predictor variables are at a higher resolution, these models can be useful. Regression models with spatial random fields. The package is described in detail in Nandi et al. (2023) <doi:10.18637/jss.v106.i11>.
Author: Anita Nandi [aut] , Tim Lucas [aut, cre] , Rohan Arambepola [aut], Andre Python [aut] , Simon Smart [ctb]
Maintainer: Tim Lucas <timcdlucas@gmail.com>

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Package ddml updated to version 0.3.0 with previous version 0.2.2 dated 2024-06-26

Title: Double/Debiased Machine Learning
Description: Estimate common causal parameters using double/debiased machine learning as proposed by Chernozhukov et al. (2018) <doi:10.1111/ectj.12097>. 'ddml' simplifies estimation based on (short-)stacking as discussed in Ahrens et al. (2024) <doi:10.1177/1536867X241233641>, which leverages multiple base learners to increase robustness to the underlying data generating process.
Author: Achim Ahrens [aut], Christian B Hansen [aut], Mark E Schaffer [aut], Thomas Wiemann [aut, cre]
Maintainer: Thomas Wiemann <wiemann@uchicago.edu>

Diff between ddml versions 0.2.2 dated 2024-06-26 and 0.3.0 dated 2024-10-02

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More information about ddml at CRAN
Permanent link

Package brms.mmrm updated to version 1.1.1 with previous version 1.1.0 dated 2024-07-29

Title: Bayesian MMRMs using 'brms'
Description: The mixed model for repeated measures (MMRM) is a popular model for longitudinal clinical trial data with continuous endpoints, and 'brms' is a powerful and versatile package for fitting Bayesian regression models. The 'brms.mmrm' R package leverages 'brms' to run MMRMs, and it supports a simplified interfaced to reduce difficulty and align with the best practices of the life sciences. References: Bürkner (2017) <doi:10.18637/jss.v080.i01>, Mallinckrodt (2008) <doi:10.1177/009286150804200402>.
Author: William Michael Landau [aut, cre] , Kevin Kunzmann [aut] , Yoni Sidi [aut], Christian Stock [aut] , Eli Lilly and Company [cph, fnd], Boehringer Ingelheim Pharma GmbH & Co. KG [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

Diff between brms.mmrm versions 1.1.0 dated 2024-07-29 and 1.1.1 dated 2024-10-02

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More information about brms.mmrm at CRAN
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Package snowquery updated to version 1.2.1 with previous version 1.2.0 dated 2024-05-08

Title: Query 'Snowflake' Databases with 'SQL'
Description: A wrapper allowing 'SQL' queries to be run on a 'Snowflake' instance directly from an 'R' script, by using the 'snowflake-connector-python' package in the background.
Author: Dani Mermelstein [aut, cre, cph]
Maintainer: Dani Mermelstein <dmermelstein@hey.com>

Diff between snowquery versions 1.2.0 dated 2024-05-08 and 1.2.1 dated 2024-10-02

 DESCRIPTION |    8 ++++----
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More information about snowquery at CRAN
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Package GISTools updated to version 1.0-2 with previous version 1.0-1 dated 2024-09-19

Title: Further Capabilities in Geographic Information Science
Description: Mapping and spatial data manipulation tools - in particular drawing thematic maps with nice looking legends, and aggregation of point data to polygons.
Author: Chris Brunsdon [aut], Binbin Lu [aut, cre], Hongyan Chen [aut]
Maintainer: Binbin Lu <binbinlu@whu.edu.cn>

Diff between GISTools versions 1.0-1 dated 2024-09-19 and 1.0-2 dated 2024-10-02

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Permanent link

Package adoptr updated to version 1.1.1 with previous version 1.1.0 dated 2024-08-19

Title: Adaptive Optimal Two-Stage Designs
Description: Optimize one or two-arm, two-stage designs for clinical trials with respect to several implemented objective criteria or custom objectives. Optimization under uncertainty and conditional (given stage-one outcome) constraints are supported. See Pilz et al. (2019) <doi:10.1002/sim.8291> and Kunzmann et al. (2021) <doi:10.18637/jss.v098.i09> for details.
Author: Kevin Kunzmann [aut, cph] , Maximilian Pilz [aut, cre] , Jan Meis [aut] , Nico Bruder [aut]
Maintainer: Maximilian Pilz <maximilian.pilz@itwm.fraunhofer.de>

Diff between adoptr versions 1.1.0 dated 2024-08-19 and 1.1.1 dated 2024-10-02

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Package targets updated to version 1.8.0 with previous version 1.7.1 dated 2024-06-20

Title: Dynamic Function-Oriented 'Make'-Like Declarative Pipelines
Description: Pipeline tools coordinate the pieces of computationally demanding analysis projects. The 'targets' package is a 'Make'-like pipeline tool for statistics and data science in R. The package skips costly runtime for tasks that are already up to date, orchestrates the necessary computation with implicit parallel computing, and abstracts files as R objects. If all the current output matches the current upstream code and data, then the whole pipeline is up to date, and the results are more trustworthy than otherwise. The methodology in this package borrows from GNU 'Make' (2015, ISBN:978-9881443519) and 'drake' (2018, <doi:10.21105/joss.00550>).
Author: William Michael Landau [aut, cre] , Matthew T. Warkentin [ctb], Mark Edmondson [ctb] , Samantha Oliver [rev] , Tristan Mahr [rev] , Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

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Package spatialsample updated to version 0.6.0 with previous version 0.5.1 dated 2023-11-07

Title: Spatial Resampling Infrastructure
Description: Functions and classes for spatial resampling to use with the 'rsample' package, such as spatial cross-validation (Brenning, 2012) <doi:10.1109/IGARSS.2012.6352393>. The scope of 'rsample' and 'spatialsample' is to provide the basic building blocks for creating and analyzing resamples of a spatial data set, but neither package includes functions for modeling or computing statistics. The resampled spatial data sets created by 'spatialsample' do not contain much overhead in memory.
Author: Michael Mahoney [aut, cre] , Julia Silge [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Michael Mahoney <mike.mahoney.218@gmail.com>

Diff between spatialsample versions 0.5.1 dated 2023-11-07 and 0.6.0 dated 2024-10-02

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Package raster updated to version 3.6-30 with previous version 3.6-26 dated 2023-10-14

Title: Geographic Data Analysis and Modeling
Description: Reading, writing, manipulating, analyzing and modeling of spatial data. This package has been superseded by the "terra" package <https://CRAN.R-project.org/package=terra>.
Author: Robert J. Hijmans [cre, aut] , Jacob van Etten [ctb], Michael Sumner [ctb], Joe Cheng [ctb], Dan Baston [ctb], Andrew Bevan [ctb], Roger Bivand [ctb], Lorenzo Busetto [ctb], Mort Canty [ctb], Ben Fasoli [ctb], David Forrest [ctb], Aniruddha Ghosh [ct [...truncated...]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

Diff between raster versions 3.6-26 dated 2023-10-14 and 3.6-30 dated 2024-10-02

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Package matlib updated to version 1.0.0 with previous version 0.9.8 dated 2024-07-25

Title: Matrix Functions for Teaching and Learning Linear Algebra and Multivariate Statistics
Description: A collection of matrix functions for teaching and learning matrix linear algebra as used in multivariate statistical methods. These functions are mainly for tutorial purposes in learning matrix algebra ideas using R. In some cases, functions are provided for concepts available elsewhere in R, but where the function call or name is not obvious. In other cases, functions are provided to show or demonstrate an algorithm. In addition, a collection of functions are provided for drawing vector diagrams in 2D and 3D.
Author: Michael Friendly [aut, cre] , John Fox [aut] , Phil Chalmers [aut] , Georges Monette [ctb] , Gaston Sanchez [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>

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Package instantiate updated to version 0.2.3 with previous version 0.2.2 dated 2024-03-20

Title: Pre-Compiled 'CmdStan' Models in R Packages
Description: Similar to 'rstantools' for 'rstan', the 'instantiate' package builds pre-compiled 'CmdStan' models into CRAN-ready statistical modeling R packages. The models compile once during installation, the executables live inside the file systems of their respective packages, and users have the full power and convenience of 'cmdstanr' without any additional compilation after package installation. This approach saves time and helps R package developers migrate from 'rstan' to the more modern 'cmdstanr'. Packages 'rstantools', 'cmdstanr', 'stannis', and 'stanapi' are similar Stan clients with different objectives.
Author: William Michael Landau [aut, cre] , Eli Lilly and Company [cph, fnd]
Maintainer: William Michael Landau <will.landau.oss@gmail.com>

Diff between instantiate versions 0.2.2 dated 2024-03-20 and 0.2.3 dated 2024-10-02

 DESCRIPTION                       |    8 ++++----
 MD5                               |   10 +++++-----
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More information about instantiate at CRAN
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Package ggfacto updated to version 0.3.2 with previous version 0.3.1 dated 2024-08-30

Title: Graphs for Correspondence Analysis
Description: Readable, complete and pretty graphs for correspondence analysis made with 'FactoMineR'. They can be rendered as interactive 'HTML' plots, showing useful informations at mouse hover. The interest is not mainly visual but statistical: it helps the reader to keep in mind the data contained in the cross-table or Burt table while reading the correspondence analysis, thus preventing over-interpretation. Most graphs are made with 'ggplot2', which means that you can use the + syntax to manually add as many graphical pieces you want, or change theme elements. 3D graphs are made with 'plotly'.
Author: Brice Nocenti [aut, cre]
Maintainer: Brice Nocenti <brice.nocenti@gmail.com>

Diff between ggfacto versions 0.3.1 dated 2024-08-30 and 0.3.2 dated 2024-10-02

 DESCRIPTION                   |    8 ++--
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More information about ggfacto at CRAN
Permanent link

New package stepcount with initial version 0.3.2
Package: stepcount
Title: Estimate Step Counts from 'Accelerometry' Data
Version: 0.3.2
Description: Interfaces the 'stepcount' Python module <https://github.com/OxWearables/stepcount> to estimate step counts and other activities from 'accelerometry' data.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: assertthat, curl, lubridate, magrittr, readr, reticulate
Suggests: tidyr, dplyr, ggplot2, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-10-01 20:53:56 UTC; johnmuschelli
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-02 17:00:02 UTC

More information about stepcount at CRAN
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New package midoc with initial version 1.0.0
Package: midoc
Title: A Decision-Making System for Multiple Imputation
Version: 1.0.0
Description: A guidance system for analysis with missing data. It incorporates expert, up-to-date methodology to help researchers choose the most appropriate analysis approach when some data are missing. You provide the available data and the assumed causal structure, including the likely causes of missing data. 'midoc' will advise which analysis approaches can be used, and how best to perform them. 'midoc' follows the framework for the treatment and reporting of missing data in observational studies (TARMOS). Lee et al (2021). <doi:10.1016/j.jclinepi.2021.01.008>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, shiny, testthat
Imports: arm, blorr, dagitty, glue, grDevices, lifecycle, mfp2, mice (>= 3.16.0), rlang, rmarkdown, stats, utils
VignetteBuilder: knitr
Depends: R (>= 3.6)
LazyData: true
URL: https://elliecurnow.github.io/midoc/
NeedsCompilation: no
Packaged: 2024-10-01 11:01:00 UTC; ec15808
Author: Elinor Curnow [aut, cre, cph] , Jon Heron [aut], Rosie Cornish [aut], Kate Tilling [aut], James Carpenter [aut]
Maintainer: Elinor Curnow <elinor.curnow@bristol.ac.uk>
Repository: CRAN
Date/Publication: 2024-10-02 16:40:02 UTC

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New package microinverterdata with initial version 0.1.0
Package: microinverterdata
Title: Collect your Microinverter Data
Version: 0.1.0
Description: Collect and normalize local microinverter energy and power production data through off-cloud API requests. Currently supports 'APSystems' microinverters.
License: MIT + file LICENSE
BugReports: https://github.com/camembR/microinverterdata/issues
URL: https://camembr.github.io/microinverterdata/
Encoding: UTF-8
Imports: cli, dplyr, glue, httr2, purrr, readr, rlang, tidyr, units
Suggests: httptest2, knitr, lubridate, pins, rmarkdown, tibble, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-01 17:21:12 UTC; creg
Author: Christophe Regouby [aut, cre, cph]
Maintainer: Christophe Regouby <christophe.regouby@free.fr>
Repository: CRAN
Date/Publication: 2024-10-02 16:50:02 UTC

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New package MaxMC with initial version 0.1.2
Package: MaxMC
Title: Maximized Monte Carlo
Date: 2024-09-29
Version: 0.1.2
Maintainer: Gabriel Rodriguez-Rondon <gabriel.rodriguezrondon@mail.mcgill.ca>
Description: An implementation of the Monte Carlo techniques described in details by Dufour (2006) <doi:10.1016/j.jeconom.2005.06.007> and Dufour and Khalaf (2007) <doi:10.1002/9780470996249.ch24>. The two main features available are the Monte Carlo method with tie-breaker, mc(), for discrete statistics, and the Maximized Monte Carlo, mmc(), for statistics with nuisance parameters.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/julienneves/MaxMC
Suggests: fUnitRoots, microbenchmark, boot, MASS, knitr, rmarkdown
Imports: GenSA, pso, GA, NMOF, scales, stats, graphics, utils,
NeedsCompilation: no
Packaged: 2024-10-01 12:22:57 UTC; gabrielrodriguez
Author: Julien Neves [aut], Jean-Marie Dufour [aut, ths], Gabriel Rodriguez-Rondon [cre]
Repository: CRAN
Date/Publication: 2024-10-02 16:40:06 UTC

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New package mabacR with initial version 0.1.0
Package: mabacR
Title: Assisting Decision Makers
Version: 0.1.0
Maintainer: Adam Slabadack <arslabadack@gmail.com>
Description: Easy implementation of the MABAC multi-criteria decision method, that was introduced by Pamučar and Ćirović in the work entitled: "The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC)" - <doi:10.1016/j.eswa.2014.11.057> - which aimed to choose implements for logistics centers. This package receives data, preferably in a spreadsheet, reads it and applies the mathematical algorithms inherent to the MABAC method to generate a ranking with the optimal solution according to the established criteria, weights and type of criteria. The data will be normalized, weighted by the weights, the border area will be determined, the distances to this border area will be calculated and finally a ranking with the optimal option will be generated.
License: GPL (>= 2)
URL: https://github.com/slabaverse/mabacR
BugReports: https://github.com/slabaverse/mabacR/issues
Depends: R (>= 4.3.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2024-10-01 20:54:27 UTC; optimus-prime
Author: Adam Slabadack [cre, aut], Marcos Santos [ctb]
Repository: CRAN
Date/Publication: 2024-10-02 17:00:06 UTC

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New package HMMcopula with initial version 1.1.0
Package: HMMcopula
Title: Markov Regime Switching Copula Models Estimation and Goodness-of-Fit
Version: 1.1.0
Maintainer: Bruno N Remillard <bruno.remillard@hec.ca>
Description: Estimation procedures and goodness-of-fit test for several Markov regime switching models and mixtures of bivariate copula models. The goodness-of-fit test is based on a Cramer-von Mises statistic and uses Rosenblatt's transform and parametric bootstrap to estimate the p-value. The proposed methodologies are described in Nasri, Remillard and Thioub (2020) <doi:10.1002/cjs.11534>.
License: GPL (>= 2)
Encoding: UTF-8
Depends: mvtnorm, foreach, doParallel, copula
NeedsCompilation: no
Packaged: 2024-10-01 11:44:22 UTC; 49009427
Author: Bouchra R. Nasri [aut], Bruno N Remillard [aut, cre, cph], Mamadou Yamar Thioub [aut], Romanic Pieugueu [aut]
Repository: CRAN
Date/Publication: 2024-10-02 16:40:09 UTC

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New package ggview with initial version 0.2.1
Package: ggview
Title: 'ggplot2' Picture Previewer
Version: 0.2.1
Description: Preview what a 'ggplot2' plot would look like if you save it to a file. Attach picture dimensions as a canvas() element and get an instant preview. These dimensions will then be used when you save the plot.
License: GPL-2 | file LICENSE
Encoding: UTF-8
Imports: ggplot2, rstudioapi
URL: https://github.com/idmn/ggview
BugReports: https://github.com/idmn/ggview/issues
Suggests: testthat (>= 3.0.0), png
NeedsCompilation: no
Packaged: 2024-10-01 19:07:12 UTC; iaroslav
Author: Iaroslav Domin [aut, cre, cph]
Maintainer: Iaroslav Domin <ya.domin@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-02 17:00:10 UTC

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New package ggcompare with initial version 0.0.1
Package: ggcompare
Title: Mean Comparison in 'ggplot2'
Version: 0.0.1
Description: Add mean comparison annotations to a 'ggplot'. This package provides an easy way to indicate if two or more groups are significantly different in a 'ggplot'. Usually you do not need to specify the test method, you only need to tell stat_compare() whether you want to perform a parametric test or a nonparametric test, and stat_compare() will automatically choose the appropriate test method based on your data. For comparisons between two groups, the p-value is calculated by t-test (parametric) or Wilcoxon rank sum test (nonparametric). For comparisons among more than two groups, the p-value is calculated by One-way ANOVA (parametric) or Kruskal-Wallis test (nonparametric).
License: Artistic-2.0
URL: https://hmu-wh.github.io/ggcompare/, https://github.com/HMU-WH/ggcompare/
BugReports: https://github.com/HMU-WH/ggcompare/issues/
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: ggplot2
NeedsCompilation: no
Packaged: 2024-10-01 14:57:31 UTC; 22835
Author: Hao Wang [aut, cre]
Maintainer: Hao Wang <wanghao8772@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-02 16:50:06 UTC

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New package depCensoring with initial version 0.1.1
Package: depCensoring
Title: Statistical Methods for Survival Data with Dependent Censoring
Version: 0.1.1
Maintainer: Negera Wakgari Deresa <negera.deresa@gmail.com>
Description: Several statistical methods for analyzing survival data under various forms of dependent censoring are implemented in the package. In addition to accounting for dependent censoring, it offers tools to adjust for unmeasured confounding factors. The implemented approaches allow users to estimate the dependency between survival time and dependent censoring time, based solely on observed survival data. For more details on the methods, refer to Deresa and Van Keilegom (2021) <doi:10.1093/biomet/asaa095>, Czado and Van Keilegom (2023) <doi:10.1093/biomet/asac067>, Crommen et al. (2024) <doi:10.1007/s11749-023-00903-9> and Willems et al. (2024+) <https:arxiv.org/abs/2403.11860>.
Imports: survival, foreach, parallel, doParallel, pbivnorm, stats, MASS, nleqslv, OpenMx, mvtnorm, rafalib, rvinecopulib, matrixcalc, nloptr, stringr, numDeriv, SemiPar.depCens
License: GPL-3
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-10-01 12:47:59 UTC; Negera Deresa
Author: Ilias Willems [aut] , Gilles Crommen [aut] , Negera Wakgari Deresa [aut, cre] , Ingrid Van Keilegom [aut]
Repository: CRAN
Date/Publication: 2024-10-02 16:50:10 UTC

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New package CIpostSelect with initial version 0.1.0
Package: CIpostSelect
Title: Confidence Interval Post-Selection of Variable
Version: 0.1.0
Maintainer: Boubacar DIALLO <boubacar.diallo0@yahoo.com>
Description: Calculates confidence intervals after variable selection using repeated data splits. The package offers methods to address the challenges of post-selection inference, ensuring more accurate confidence intervals in models involving variable selection. The two main functions are 'lmps', which records the different models selected across multiple data splits as well as the corresponding coefficient estimates, and 'cips', which takes the lmps object as input to select variables and perform inferences using two types of voting.
License: MIT + file LICENSE
Imports: MASS, doParallel, foreach, ggplot2, glmnet, magrittr, mlbench, tictoc
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-10-01 13:11:28 UTC; bouba
Author: Boubacar DIALLO [aut, cre]
Repository: CRAN
Date/Publication: 2024-10-02 16:50:14 UTC

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Package BATSS updated to version 1.0.0 with previous version 0.7.14 dated 2024-07-14

Title: Bayesian Adaptive Trial Simulator Software (BATSS) for Generalised Linear Models
Description: Defines operating characteristics of Bayesian Adaptive Trials considering a generalised linear model response via Monte Carlo simulations of Bayesian GLM fitted via integrated Laplace approximations (INLA).
Author: Dominique-Laurent Couturier [aut, cre] , Liz Ryan [aut] , Rainer Puhr [aut], Thomas Jaki [aut] , Stephane Heritier [aut]
Maintainer: Dominique-Laurent Couturier <dominique.couturier@mrc-bsu.cam.ac.uk>

Diff between BATSS versions 0.7.14 dated 2024-07-14 and 1.0.0 dated 2024-10-02

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 MD5                   |   12 ++---
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 7 files changed, 124 insertions(+), 36 deletions(-)

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Package WeightedCluster updated to version 1.8-0 with previous version 1.6-4 dated 2023-07-07

Title: Clustering of Weighted Data
Description: Clusters state sequences and weighted data. It provides an optimized weighted PAM algorithm as well as functions for aggregating replicated cases, computing cluster quality measures for a range of clustering solutions and plotting (fuzzy) clusters of state sequences. Parametric bootstraps methods to validate typology of sequences are also provided. Finally, it provides a fuzzy and crisp CLARA algorithm to cluster large database with sequence analysis.
Author: Matthias Studer [aut, cre]
Maintainer: Matthias Studer <matthias.studer@unige.ch>

Diff between WeightedCluster versions 1.6-4 dated 2023-07-07 and 1.8-0 dated 2024-10-02

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Package rsi updated to version 0.3.0 with previous version 0.2.1 dated 2024-06-27

Title: Efficiently Retrieve and Process Satellite Imagery
Description: Downloads spatial data from spatiotemporal asset catalogs ('STAC'), computes standard spectral indices from the Awesome Spectral Indices project (Montero et al. (2023) <doi:10.1038/s41597-023-02096-0>) against raster data, and glues the outputs together into predictor bricks. Methods focus on interoperability with the broader spatial ecosystem; function arguments and outputs use classes from 'sf' and 'terra', and data downloading functions support complex 'CQL2' queries using 'rstac'.
Author: Michael Mahoney [aut, cre] , Felipe Carvalho [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/636>), Michael Sumner [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/636>), Permian Global [cph, f [...truncated...]
Maintainer: Michael Mahoney <mike.mahoney.218@gmail.com>

Diff between rsi versions 0.2.1 dated 2024-06-27 and 0.3.0 dated 2024-10-02

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 R/calculate_indices.R                    |   24 +++
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Package cctest updated to version 1.1.0 with previous version 1.0.0 dated 2024-08-27

Title: Canonical Correlations and Tests of Independence
Description: A simple interface for multivariate correlation analysis that unifies various classical statistical procedures including t-tests, tests in univariate and multivariate linear models, parametric and nonparametric tests for correlation, Kruskal-Wallis tests, common approximate versions of Wilcoxon rank-sum and signed rank tests, chi-squared tests of independence, score tests of particular hypotheses in generalized linear models, canonical correlation analysis and linear discriminant analysis.
Author: Robert Schlicht [aut, cre]
Maintainer: Robert Schlicht <robert.schlicht@tu-dresden.de>

Diff between cctest versions 1.0.0 dated 2024-08-27 and 1.1.0 dated 2024-10-02

 DESCRIPTION   |    8 ++++----
 MD5           |    6 +++---
 R/cctest.R    |    5 +++--
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 4 files changed, 28 insertions(+), 28 deletions(-)

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Package testCompareR updated to version 1.1.0 with previous version 1.0.4 dated 2024-09-17

Title: Comparing Two Diagnostic Tests with Dichotomous Results using Paired Data
Description: Provides a method for comparing the results of two binary diagnostic tests using paired data. Users can rapidly perform descriptive and inferential statistics in a single function call. Options permit users to select which parameters they are interested in comparing and methods for correction for multiple comparisons. Confidence intervals are calculated using the methods with the best coverage. Hypothesis tests use the methods with the best asymptotic performance. A summary of the methods is available in Roldán-Nofuentes (2020) <doi:10.1186/s12874-020-00988-y>. This package is targeted at clinical researchers who want to rapidly and effectively compare results from binary diagnostic tests.
Author: Kyle J. Wilson [cre, aut] , Marc Henrion [aut] , Jose Antonio Roldan Nofuentes [aut]
Maintainer: Kyle J. Wilson <kyle.jordan.wilson@googlemail.com>

Diff between testCompareR versions 1.0.4 dated 2024-09-17 and 1.1.0 dated 2024-10-02

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New package SOMMD with initial version 0.1.2
Package: SOMMD
Title: Self Organising Maps for the Analysis of Molecular Dynamics Data
Version: 0.1.2
Description: Processes data from Molecular Dynamics simulations using Self Organising Maps. Features include the ability to read different input formats. Trajectories can be analysed to identify groups of important frames. Output visualisation can be generated for maps and pathways. Methodological details can be found in Motta S et al (2022) <doi:10.1021/acs.jctc.1c01163>. I/O functions for xtc format files were implemented using the 'xdrfile' library available under open source license. The relevant information can be found in inst/COPYRIGHT.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: bio3d, kohonen, abind, cluster, methods, igraph
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2024-10-01 07:52:26 UTC; apandini
Author: Alessandro Pandini [aut, cph] , Stefano Motta [aut, cre, cph] , Erik Lindahl [ctb] , David van der Spoel [ctb]
Maintainer: Stefano Motta <stefano.motta@unimib.it>
Repository: CRAN
Date/Publication: 2024-10-02 13:50:06 UTC

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Package secretbase updated to version 1.0.3 with previous version 1.0.2 dated 2024-09-09

Title: Cryptographic Hash, Extendable-Output and Base64 Functions
Description: Fast and memory-efficient streaming hash functions and base64 encoding / decoding. Hashes strings and raw vectors directly. Stream hashes files potentially larger than memory, as well as in-memory objects through R's serialization mechanism. Implementations include the SHA-256, SHA-3 and 'Keccak' cryptographic hash functions, SHAKE256 extendable-output function (XOF), and 'SipHash' pseudo-random function.
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

Diff between secretbase versions 1.0.2 dated 2024-09-09 and 1.0.3 dated 2024-10-02

 DESCRIPTION      |    6 +++---
 MD5              |   26 +++++++++++++-------------
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New package ISCA with initial version 0.1.0
Package: ISCA
Version: 0.1.0
Maintainer: Lucas Drouhot <l.g.m.drouhot@uu.nl>
License: GPL (>= 3)
Title: Compare Heterogeneous Social Groups
Description: The Inductive Subgroup Comparison Approach ('ISCA') offers a way to compare groups that are internally differentiated and heterogeneous. It starts by identifying the social structure of a reference group against which a minority or another group is to be compared, yielding empirical subgroups to which minority members are then matched based on how similar they are. The modelling of specific outcomes then occurs within specific subgroups in which majority and minority members are matched. 'ISCA' is characterized by its data-driven, probabilistic, and iterative approach and combines fuzzy clustering, Monte Carlo simulation, and regression analysis. ISCA_random_assignments() assigns subjects probabilistically to subgroups. ISCA_clustertable() provides summary statistics of each cluster across iterations. ISCA_modeling() provides Ordinary Least Squares regression results for each cluster across iterations. For further details please see Drouhot (2021) <doi:10.1086/712804>.
Encoding: UTF-8
Depends: R (>= 4.3)
Imports: data.table (>= 1.16.0), stringr (>= 1.5.1), e1071 (>= 1.7-16), Hmisc (>= 5.1-3), broom (>= 1.0.7), dplyr (>= 1.1.4), tidyselect (>= 1.2.1), stats (>= 4.3.1), tibble (>= 3.2.1), plyr (>= 1.8.9), magrittr (>= 2.0.3)
Suggests: knitr, rmarkdown, tidyr (>= 1.3.0), testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2024-09-30 20:09:01 UTC; Marion Späth
Author: Lucas Drouhot [aut, cre], Marion Spaeth [aut]
Repository: CRAN
Date/Publication: 2024-10-02 13:10:10 UTC

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New package epizootic with initial version 1.0.0
Package: epizootic
Title: Spatially Explicit Population Models of Disease Transmission in Wildlife
Version: 1.0.0
Description: This extension of the pattern-oriented modeling framework of the 'poems' package provides a collection of modules and functions customized for modeling disease transmission on a population scale in a spatiotemporally explicit manner. This includes seasonal time steps, dispersal functions that track disease state of dispersers, results objects that store disease states, and a population simulator that includes disease dynamics.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/viralemergence/epizootic
BugReports: https://github.com/viralemergence/epizootic/issues
Depends: R (>= 4.3.0)
Imports: purrr (>= 1.0.0), dplyr (>= 1.1.3), tibble (>= 3.2.1), R6 (>= 2.5.1), cli (>= 3.6.1), raster (>= 3.6), qs (>= 0.25.7), poems (>= 1.1.0), doParallel (>= 1.0.16), foreach (>= 1.5.1), Rcpp
Suggests: testthat (>= 3.0.0), geosphere (>= 1.5), knitr (>= 1.17), rmarkdown (>= 1.6)
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2024-09-30 18:40:10 UTC; caryinstitute
Author: July Pilowsky [aut, cre] , National Science Foundation Biology Integration Institute 2213854 [fnd]
Maintainer: July Pilowsky <pilowskyj@caryinstitute.org>
Repository: CRAN
Date/Publication: 2024-10-02 13:10:05 UTC

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Package CorMID updated to version 0.2.1 with previous version 0.1.9 dated 2023-08-10

Title: Correct Mass Isotopologue Distribution Vectors
Description: In metabolic flux experiments tracer molecules (often glucose containing labelled carbon) are incorporated in compounds measured using mass spectrometry. The mass isotopologue distributions of these compounds needs to be corrected for natural abundance of labelled carbon and other effects, which are specific on the compound and ionization technique applied. This package provides functions to correct such effects in gas chromatography atmospheric pressure chemical ionization mass spectrometry analyses.
Author: Jan Lisec [aut, cre]
Maintainer: Jan Lisec <jan.lisec@bam.de>

Diff between CorMID versions 0.1.9 dated 2023-08-10 and 0.2.1 dated 2024-10-02

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New package CompositionalRF with initial version 1.0
Package: CompositionalRF
Title: Multivariate Random Forest with Compositional Responses
Version: 1.0
Date: 2024-10-01
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Compositional, doParallel, foreach, MultivariateRandomForest, Rfast, stats
Description: Non linear regression with compositional responses and Euclidean predictors is performed. The compositional data are first transformed using the additive log-ratio transformation, and then the multivariate random forest of Rahman R., Otridge J. and Pal R. (2017), <doi:10.1093/bioinformatics/btw765>, is applied.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2024-10-01 10:09:38 UTC; mtsag
Repository: CRAN
Date/Publication: 2024-10-02 14:00:05 UTC

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New package autogam with initial version 0.0.1
Package: autogam
Title: Automate the Creation of Generalized Additive Models (GAMs)
Version: 0.0.1
Language: en-US
Description: This wrapper package for 'mgcv' makes it easier to create high-performing Generalized Additive Models (GAMs). With its central function autogam(), by entering just a dataset and the name of the outcome column as inputs, 'AutoGAM' tries to automate the procedure of configuring a highly accurate GAM which performs at reasonably high speed, even for large datasets.
License: MIT + file LICENSE
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
Imports: dplyr, mgcv, purrr, stats, stringr
URL: https://github.com/tripartio/autogam, https://tripartio.github.io/autogam/
BugReports: https://github.com/tripartio/autogam/issues
NeedsCompilation: no
Packaged: 2024-10-01 08:41:28 UTC; chitu
Author: Chitu Okoli [aut, cre]
Maintainer: Chitu Okoli <Chitu.Okoli@skema.edu>
Repository: CRAN
Date/Publication: 2024-10-02 13:50:02 UTC

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New package ai with initial version 1.0.4.44
Package: ai
Title: Build, Predict and Analyse Artificial Intelligence Models
Version: 1.0.4.44
Description: An interface for data processing, building models, predicting values and analysing outcomes. Fitting Linear Models, Robust Fitting of Linear Models, k-Nearest Neighbor Classification, 1-Nearest Neighbor Classification, and Conditional Inference Trees are available.
Depends: R (>= 4.4.0)
License: GPL-3
Encoding: UTF-8
URL: https://github.com/urniaz/ai
BugReports: https://github.com/urniaz/ai/issues
Imports: base, class, stats, caTools, MASS, party, Metrics
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-09-30 22:26:49 UTC; urniaz
Author: Rafal Urniaz [aut, cre]
Maintainer: Rafal Urniaz <rafal.urniaz@cantab.net>
Repository: CRAN
Date/Publication: 2024-10-02 13:30:06 UTC

More information about ai at CRAN
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New package acoRn with initial version 0.1.0
Package: acoRn
Title: Exclusion-Based Parentage Assignment Using Multilocus Genotype Data
Version: 0.1.0
Description: Exclusion-based parentage assignment is essential for studies in biodiversity conservation and breeding programs - Kang Huang, Rui Mi, Derek W Dunn, Tongcheng Wang, Baoguo Li, (2018), <doi:10.1534/genetics.118.301592>. The tool compares multilocus genotype data of potential parents and offspring, identifying likely parentage relationships while accounting for genotyping errors, missing data, and duplicate genotypes. 'acoRn' includes two algorithms: one generates synthetic genotype data based on user-defined parameters, while the other analyzes existing genotype data to identify parentage patterns. The package is versatile, applicable to diverse organisms, and offers clear visual outputs, making it a valuable resource for researchers.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: data.table, stringr, stringi
Depends: R (>= 2.10)
LazyData: true
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-10-01 09:03:08 UTC; nikospech
Author: Nikos Pechlivanis [aut, cre] , Fotis Psomopoulos [aut] , Aristotelis Papageorgiou [aut]
Maintainer: Nikos Pechlivanis <npechlv@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-02 14:00:02 UTC

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Package MorphoTools2 updated to version 1.0.2.1 with previous version 1.0.2.0 dated 2024-09-30

Title: Multivariate Morphometric Analysis
Description: Tools for multivariate analyses of morphological data, wrapped in one package, to make the workflow convenient and fast. Statistical and graphical tools provide a comprehensive framework for checking and manipulating input data, statistical analyses, and visualization of results. Several methods are provided for the analysis of raw data, to make the dataset ready for downstream analyses. Integrated statistical methods include hierarchical classification, principal component analysis, principal coordinates analysis, non-metric multidimensional scaling, and multiple discriminant analyses: canonical, stepwise, and classificatory (linear, quadratic, and the non-parametric k nearest neighbours). The philosophy of the package is described in Šlenker et al. 2022.
Author: Marek Slenker [aut, cre] , Petr Koutecky [ctb] , Karol Marhold [ctb]
Maintainer: Marek Slenker <marek.slenker@savba.sk>

Diff between MorphoTools2 versions 1.0.2.0 dated 2024-09-30 and 1.0.2.1 dated 2024-10-02

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Package APIS updated to version 2.0.7 with previous version 2.0.4 dated 2023-11-30

Title: Auto-Adaptive Parentage Inference Software Tolerant to Missing Parents
Description: Parentage assignment package. Parentage assignment is performed based on observed average Mendelian transmission probability distributions or Exclusion. The main functions of this package are the function APIS_2n(), APIS_3n() and launch_APIShiny(), which perform parentage assignment.
Author: Julien Roche [aut, cre], Ronan Griot [aut], Mathieu Besson [aut], Francois Allal [aut], Marc Vandeputte [aut], Jonathan D'Ambrosio [aut], Romain Morvezin [aut], Florence Phocas [aut], Sophie Brard-Fudulea [aut], Pierrick Haffray [aut]
Maintainer: Julien Roche <julien.roche@inrae.fr>

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Package datamods updated to version 1.5.3 with previous version 1.5.2 dated 2024-09-05

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

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Package cheapr updated to version 0.9.8 with previous version 0.9.3 dated 2024-07-29

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

Diff between cheapr versions 0.9.3 dated 2024-07-29 and 0.9.8 dated 2024-10-02

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Package Umoments updated to version 1.0.1 with previous version 0.1.1 dated 2020-02-12

Title: Unbiased Central Moment Estimates
Description: Calculates one-sample unbiased central moment estimates and two-sample pooled estimates up to 6th order, including estimates of powers and products of central moments. Provides the machinery for obtaining unbiased central moment estimators beyond 6th order by generating expressions for expectations of raw sample moments and their powers and products. Gerlovina and Hubbard (2019) <doi:10.1080/25742558.2019.1701917>.
Author: Inna Gerlovina [aut, cre], Alan Hubbard [aut]
Maintainer: Inna Gerlovina <innager@berkeley.edu>

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Package secr updated to version 5.0.0 with previous version 4.6.10 dated 2024-08-22

Title: Spatially Explicit Capture-Recapture
Description: Functions to estimate the density and size of a spatially distributed animal population sampled with an array of passive detectors, such as traps, or by searching polygons or transects. Models incorporating distance-dependent detection are fitted by maximizing the likelihood. Tools are included for data manipulation and model selection.
Author: Murray Efford [aut, cre] , Philipp Jund [ctb] , David Fletcher [ctb] , Yan Ru Choo [ctb]
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

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More information about secr at CRAN
Permanent link

Package insight updated to version 0.20.5 with previous version 0.20.4 dated 2024-09-01

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

Diff between insight versions 0.20.4 dated 2024-09-01 and 0.20.5 dated 2024-10-02

 DESCRIPTION                                 |   35 -
 MD5                                         |  102 ++--
 NAMESPACE                                   |    5 
 NEWS.md                                     |   16 
 R/compute_variances.R                       |   43 +-
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 R/find_parameters_mixed.R                   |    5 
 R/format_table.R                            |    2 
 R/get_datagrid.R                            |  577 ++++++++++++++--------------
 R/get_loglikelihood.R                       |    2 
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 R/get_variances.R                           |    3 
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Package diversitree updated to version 0.10-1 with previous version 0.10-0 dated 2023-12-20

Title: Comparative 'Phylogenetic' Analyses of Diversification
Description: Contains a number of comparative 'phylogenetic' methods, mostly focusing on analysing diversification and character evolution. Contains implementations of 'BiSSE' (Binary State 'Speciation' and Extinction) and its unresolved tree extensions, 'MuSSE' (Multiple State 'Speciation' and Extinction), 'QuaSSE', 'GeoSSE', and 'BiSSE-ness' Other included methods include Markov models of discrete and continuous trait evolution and constant rate 'speciation' and extinction.
Author: Richard G. FitzJohn [aut, cre], Emma Goldberg [aut], Karen Magnuson-Ford [aut], Roger Sidje [aut]
Maintainer: Richard G. FitzJohn <rich.fitzjohn@gmail.com>

Diff between diversitree versions 0.10-0 dated 2023-12-20 and 0.10-1 dated 2024-10-02

 DESCRIPTION           |    6 ++--
 MD5                   |   32 ++++++++++++-------------
 build/partial.rdb     |binary
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 src/util-splines.c    |   28 ++++++++++-----------
 src/util.c            |   38 ++++++++++++++---------------
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Package seqminer updated to version 9.7 with previous version 9.4 dated 2024-02-03

Title: Efficiently Read Sequence Data (VCF Format, BCF Format, METAL Format and BGEN Format) into R
Description: Integrate sequencing data (Variant call format, e.g. VCF or BCF) or meta-analysis results in R. This package can help you (1) read VCF/BCF/BGEN files by chromosomal ranges (e.g. 1:100-200); (2) read RareMETAL summary statistics files; (3) read tables from a tabix-indexed files; (4) annotate VCF/BCF files; (5) create customized workflow based on Makefile.
Author: Xiaowei Zhan [aut, cre], Dajiang Liu [aut], Attractive Chaos [cph] . We removed standard IO related functions, e.g. printf, fprintf ; also changed its un-safe pointer arithmetics.), Broad Institute / Massachusetts Institute of Technology [cph], Genom [...truncated...]
Maintainer: Xiaowei Zhan <zhanxw@gmail.com>

Diff between seqminer versions 9.4 dated 2024-02-03 and 9.7 dated 2024-10-02

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 seqminer-9.7/seqminer/src/Rannotation.cpp      |    4 
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 seqminer-9.7/seqminer/src/rvMetaLoader.cpp     |   74 
 seqminer-9.7/seqminer/src/scbcf2genoLoader.cpp |    4 
 seqminer-9.7/seqminer/src/scvcf2genoLoader.cpp |    6 
 seqminer-9.7/seqminer/src/sqlite/shell.c       |19272 ++++
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 seqminer-9.7/seqminer/src/vcf2genoLoader.cpp   |   44 
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Package sasLM updated to version 0.10.5 with previous version 0.10.4 dated 2024-05-31

Title: 'SAS' Linear Model
Description: This is a core implementation of 'SAS' procedures for linear models - GLM, REG, ANOVA, TTEST, FREQ, and UNIVARIATE. Some R packages provide type II and type III SS. However, the results of nested and complex designs are often different from those of 'SAS.' Different results does not necessarily mean incorrectness. However, many wants the same results to SAS. This package aims to achieve that. Reference: Littell RC, Stroup WW, Freund RJ (2002, ISBN:0-471-22174-0).
Author: Kyun-Seop Bae [aut, cre]
Maintainer: Kyun-Seop Bae <k@acr.kr>

Diff between sasLM versions 0.10.4 dated 2024-05-31 and 0.10.5 dated 2024-10-02

 sasLM-0.10.4/sasLM/inst/doc/Report-Different-Simplest2406011131.pdf |only
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More information about sasLM at CRAN
Permanent link

Package RandomForestsGLS updated to version 0.1.5 with previous version 0.1.4 dated 2022-04-28

Title: Random Forests for Dependent Data
Description: Fits non-linear regression models on dependant data with Generalised Least Square (GLS) based Random Forest (RF-GLS) detailed in Saha, Basu and Datta (2021) <doi:10.1080/01621459.2021.1950003>.
Author: Arkajyoti Saha [aut, cre], Sumanta Basu [aut], Abhirup Datta [aut]
Maintainer: Arkajyoti Saha <arkajyotisaha93@gmail.com>

Diff between RandomForestsGLS versions 0.1.4 dated 2022-04-28 and 0.1.5 dated 2024-10-02

 DESCRIPTION                              |    8 +-
 MD5                                      |   16 ++---
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 inst/doc/RandomForestsGLS_user_guide.pdf |binary
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 9 files changed, 77 insertions(+), 57 deletions(-)

More information about RandomForestsGLS at CRAN
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Package GNAR updated to version 1.1.4 with previous version 1.1.3 dated 2023-12-18

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>. Diagnostic tools for GNAR(X) models can be found in Nason et al. (2023) <doi:10.48550/arXiv.2312.00530>.
Author: Kathryn Leeming [aut], Guy Nason [aut], Matt Nunes [aut, cre], Marina Knight [ctb], James Wei [aut], Daniel Salnikov [aut], Mario Cortina Borja [ctb]
Maintainer: Matt Nunes <nunesrpackages@gmail.com>

Diff between GNAR versions 1.1.3 dated 2023-12-18 and 1.1.4 dated 2024-10-02

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More information about GNAR at CRAN
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Package edmdata updated to version 1.3.0 with previous version 1.2.0 dated 2021-07-25

Title: Data Sets for Psychometric Modeling
Description: Collection of data sets from various assessments that can be used to evaluate psychometric models. These data sets have been analyzed in the following papers that introduced new methodology as part of the application section: Jimenez, A., Balamuta, J. J., & Culpepper, S. A. (2023) <doi:10.1111/bmsp.12307>, Culpepper, S. A., & Balamuta, J. J. (2021) <doi:10.1080/00273171.2021.1985949>, Yinghan Chen et al. (2021) <doi:10.1007/s11336-021-09750-9>, Yinyin Chen et al. (2020) <doi:10.1007/s11336-019-09693-2>, Culpepper, S. A. (2019a) <doi:10.1007/s11336-019-09683-4>, Culpepper, S. A. (2019b) <doi:10.1007/s11336-018-9643-8>, Culpepper, S. A., & Chen, Y. (2019) <doi:10.3102/1076998618791306>, Culpepper, S. A., & Balamuta, J. J. (2017) <doi:10.1007/s11336-015-9484-7>, and Culpepper, S. A. (2015) <doi:10.3102/1076998615595403>.
Author: James Joseph Balamuta [aut, cre, cph] , Steven Andrew Culpepper [aut, cph] , Jeffrey Alan Douglas [aut, cph], Auburn Jimenez [ctb, cph]
Maintainer: James Joseph Balamuta <balamut2@illinois.edu>

Diff between edmdata versions 1.2.0 dated 2021-07-25 and 1.3.0 dated 2024-10-02

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Package SoundShape updated to version 1.3.1 with previous version 1.3.0 dated 2023-08-23

Title: Sound Waves Onto Morphometric Data
Description: Implement a promising, and yet little explored protocol for bioacoustical analysis, the eigensound method by MacLeod, Krieger and Jones (2013) <doi:10.4404/hystrix-24.1-6299>. Eigensound is a multidisciplinary method focused on the direct comparison between stereotyped sounds from different species. 'SoundShape', in turn, provide the tools required for anyone to go from sound waves to Principal Components Analysis, using tools extracted from traditional bioacoustics (i.e. 'tuneR' and 'seewave' packages), geometric morphometrics (i.e. 'geomorph' package) and multivariate analysis (e.g. 'stats' package). For more information, please see Rocha and Romano (2021) and check 'SoundShape' repository on GitHub for news and updates <https://github.com/p-rocha/SoundShape>.
Author: Pedro Rocha [aut, cre]
Maintainer: Pedro Rocha <p.rocha1990@gmail.com>

Diff between SoundShape versions 1.3.0 dated 2023-08-23 and 1.3.1 dated 2024-10-02

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Package sqltargets updated to version 0.2.1 with previous version 0.2.0 dated 2024-07-30

Title: 'Targets' Extension for 'SQL' Queries
Description: Provides an extension for 'SQL' queries as separate file within 'targets' pipelines. The shorthand creates two targets, the query file and the query result.
Author: David Ranzolin [aut, cre, cph]
Maintainer: David Ranzolin <daranzolin@gmail.com>

Diff between sqltargets versions 0.2.0 dated 2024-07-30 and 0.2.1 dated 2024-10-02

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Package penaltyLearning updated to version 2024.9.3 with previous version 2024.1.25 dated 2024-02-01

Title: Penalty Learning
Description: Implementations of algorithms from Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression, by Hocking, Rigaill, Vert, Bach <http://proceedings.mlr.press/v28/hocking13.html> published in proceedings of ICML2013.
Author: Toby Dylan Hocking [aut, cre]
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

Diff between penaltyLearning versions 2024.1.25 dated 2024-02-01 and 2024.9.3 dated 2024-10-02

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Package PeakSegOptimal updated to version 2024.10.1 with previous version 2024.1.24 dated 2024-01-24

Title: Optimal Segmentation Subject to Up-Down Constraints
Description: Computes optimal changepoint models using the Poisson likelihood for non-negative count data, subject to the PeakSeg constraint: the first change must be up, second change down, third change up, etc. For more info about the models and algorithms, read "Constrained Dynamic Programming and Supervised Penalty Learning Algorithms for Peak Detection" <https://jmlr.org/papers/v21/18-843.html> by TD Hocking et al.
Author: Toby Dylan Hocking [aut, cre]
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

Diff between PeakSegOptimal versions 2024.1.24 dated 2024-01-24 and 2024.10.1 dated 2024-10-02

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Package PeakSegJoint updated to version 2024.10.1 with previous version 2024.6.27 dated 2024-06-27

Title: Joint Peak Detection in Several ChIP-Seq Samples
Description: Jointly segment several ChIP-seq samples to find the peaks which are the same and different across samples. The fast approximate maximum Poisson likelihood algorithm is described in "PeakSegJoint: fast supervised peak detection via joint segmentation of multiple count data samples" <doi:10.48550/arXiv.1506.01286> by TD Hocking and G Bourque.
Author: Toby Dylan Hocking [aut, cre]
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

Diff between PeakSegJoint versions 2024.6.27 dated 2024-06-27 and 2024.10.1 dated 2024-10-02

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More information about PeakSegJoint at CRAN
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Package PeakSegDisk updated to version 2024.10.1 with previous version 2023.11.27 dated 2023-11-28

Title: Disk-Based Constrained Change-Point Detection
Description: Disk-based implementation of Functional Pruning Optimal Partitioning with up-down constraints <doi:10.18637/jss.v101.i10> for single-sample peak calling (independently for each sample and genomic problem), can handle huge data sets (10^7 or more).
Author: Toby Dylan Hocking [aut, cre]
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

Diff between PeakSegDisk versions 2023.11.27 dated 2023-11-28 and 2024.10.1 dated 2024-10-02

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Package GWalkR updated to version 0.2.0 with previous version 0.1.5 dated 2024-08-25

Title: Interactive Exploratory Data Analysis Tool
Description: Simplify your R data analysis and data visualization workflow by turning your data frame into an interactive 'Tableau'-like interface, leveraging the 'graphic-walker' JavaScript library and the 'htmlwidgets' package.
Author: Yue Yu [aut, cre] , Kanaries Data Inc. [cph, fnd]
Maintainer: Yue Yu <yue.yu@connect.ust.hk>

Diff between GWalkR versions 0.1.5 dated 2024-08-25 and 0.2.0 dated 2024-10-02

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New package coro with initial version 1.0.4
Package: coro
Title: 'Coroutines' for R
Version: 1.0.4
Description: Provides 'coroutines' for R, a family of functions that can be suspended and resumed later on. This includes 'async' functions (which await) and generators (which yield). 'Async' functions are based on the concurrency framework of the 'promises' package. Generators are based on a dependency free iteration protocol defined in 'coro' and are compatible with iterators from the 'reticulate' package.
License: MIT + file LICENSE
URL: https://github.com/r-lib/coro
BugReports: https://github.com/r-lib/coro/issues
Depends: R (>= 3.5.0)
Imports: rlang (>= 0.4.12)
Suggests: knitr, later (>= 1.1.0), magrittr (>= 2.0.0), promises, reticulate, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-03-11 11:07:36 UTC; lionel
Author: Lionel Henry [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Lionel Henry <lionel@posit.co>
Repository: CRAN
Date/Publication: 2024-03-11 11:40:02 UTC

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Package BRISC updated to version 1.0.6 with previous version 1.0.5 dated 2022-04-29

Title: Fast Inference for Large Spatial Datasets using BRISC
Description: Fits bootstrap with univariate spatial regression models using Bootstrap for Rapid Inference on Spatial Covariances (BRISC) for large datasets using nearest neighbor Gaussian processes detailed in Saha and Datta (2018) <doi:10.1002/sta4.184>.
Author: Arkajyoti Saha [aut, cre], Abhirup Datta [aut], Jorge Nocedal [ctb], Naoaki Okazaki [ctb], Lukas M. Weber [ctb]
Maintainer: Arkajyoti Saha <arkajyotisaha93@gmail.com>

Diff between BRISC versions 1.0.5 dated 2022-04-29 and 1.0.6 dated 2024-10-02

 DESCRIPTION                 |    6 -
 MD5                         |   28 +++---
 man/BRISC_neighbor.Rd       |    2 
 src/BRISC.cpp               |  202 ++++++++++++++++++++++----------------------
 src/BRISC_Predict.cpp       |   24 +++--
 src/Makevars.in             |    4 
 src/Makevars.win            |    5 -
 src/arithmetic_ansi.h       |    3 
 src/arithmetic_sse_double.h |    3 
 src/arithmetic_sse_float.h  |    3 
 src/init.c                  |    3 
 src/lbfgs.c                 |    3 
 src/lbfgs.h                 |    3 
 src/util.cpp                |    8 +
 src/util.h                  |    4 
 15 files changed, 171 insertions(+), 130 deletions(-)

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