Tue, 25 Jun 2024

Package gglgbtq updated to version 0.2.0 with previous version 0.1.1 dated 2022-11-01

Title: Show Pride on 'ggplot2' Plots
Description: Provides multiple palettes based on pride flags with tailored themes.
Author: Laura Bakala [cre, aut, cph]
Maintainer: Laura Bakala <erdaradun.gaztea@gmail.com>

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Package gamsel updated to version 1.8-3 with previous version 1.8-2 dated 2022-02-04

Title: Fit Regularization Path for Generalized Additive Models
Description: Using overlap grouped-lasso penalties, 'gamsel' selects whether a term in a 'gam' is nonzero, linear, or a non-linear spline (up to a specified max df per variable). It fits the entire regularization path on a grid of values for the overall penalty lambda, both for gaussian and binomial families. See <doi:10.48550/arXiv.1506.03850> for more details.
Author: Alexandra Chouldechova [aut], Trevor Hastie [aut, cre], Balasubramanian Narasimhan [ctb], Vitalie Spinu [ctb], Matt Wand [ctb]
Maintainer: Trevor Hastie <hastie@stanford.edu>

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Package tsModel updated to version 0.6-2 with previous version 0.6-1 dated 2022-05-10

Title: Time Series Modeling for Air Pollution and Health
Description: Tools for specifying time series regression models.
Author: Roger D. Peng <roger.peng@austin.utexas.edu>, with contributions from Aidan McDermott
Maintainer: Roger D. Peng <roger.peng@austin.utexas.edu>

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Package pcutils updated to version 0.2.6 with previous version 0.2.5 dated 2024-03-19

Title: Some Useful Functions for Statistics and Visualization
Description: Offers a range of utilities and functions for everyday programming tasks. 1.Data Manipulation. Such as grouping and merging, column splitting, and character expansion. 2.File Handling. Read and convert files in popular formats. 3.Plotting Assistance. Helpful utilities for generating color palettes, validating color formats, and adding transparency. 4.Statistical Analysis. Includes functions for pairwise comparisons and multiple testing corrections, enabling perform statistical analyses with ease. 5.Graph Plotting, Provides efficient tools for creating doughnut plot and multi-layered doughnut plot; Venn diagrams, including traditional Venn diagrams, upset plots, and flower plots; Simplified functions for creating stacked bar plots, or a box plot with alphabets group for multiple comparison group.
Author: Chen Peng [aut, cre]
Maintainer: Chen Peng <pengchen2001@zju.edu.cn>

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Package ggplot2.utils updated to version 0.3.2 with previous version 0.3.1 dated 2024-01-08

Title: Selected Utilities Extending 'ggplot2'
Description: Selected utilities, in particular 'geoms' and 'stats' functions, extending the 'ggplot2' package. This package imports functions from 'EnvStats' <doi:10.1007/978-1-4614-8456-1> by Millard (2013), 'ggpp' <https://CRAN.R-project.org/package=ggpp> by Aphalo et al. (2023) and 'ggstats' <doi:10.5281/zenodo.10183964> by Larmarange (2023), and then exports them. This package also contains modified code from 'ggquickeda' <https://CRAN.R-project.org/package=ggquickeda> by Mouksassi et al. (2023) for Kaplan-Meier lines and ticks additions to plots. All functions are tested to make sure that they work reliably.
Author: Daniel Sabanes Bove [aut, cre], Samer Mouksassi [aut] , Michael Sachs [aut] , F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Daniel Sabanes Bove <daniel.sabanes_bove@rconis.com>

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Package FRESA.CAD updated to version 3.4.8 with previous version 3.4.7 dated 2023-11-24

Title: Feature Selection Algorithms for Computer Aided Diagnosis
Description: Contains a set of utilities for building and testing statistical models (linear, logistic,ordinal or COX) for Computer Aided Diagnosis/Prognosis applications. Utilities include data adjustment, univariate analysis, model building, model-validation, longitudinal analysis, reporting and visualization.
Author: Jose Gerardo Tamez-Pena, Antonio Martinez-Torteya, Israel Alanis and Jorge Orozco
Maintainer: Jose Gerardo Tamez-Pena <jose.tamezpena@tec.mx>

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Package filehash updated to version 2.4-6 with previous version 2.4-5 dated 2023-02-09

Title: Simple Key-Value Database
Description: Implements a simple key-value style database where character string keys are associated with data values that are stored on the disk. A simple interface is provided for inserting, retrieving, and deleting data from the database. Utilities are provided that allow 'filehash' databases to be treated much like environments and lists are already used in R. These utilities are provided to encourage interactive and exploratory analysis on large datasets. Three different file formats for representing the database are currently available and new formats can easily be incorporated by third parties for use in the 'filehash' framework.
Author: Roger D. Peng <roger.peng@austin.utexas.edu>
Maintainer: Roger D. Peng <roger.peng@austin.utexas.edu>

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Package bayesianVARs updated to version 0.1.3 with previous version 0.1.2 dated 2024-01-20

Title: MCMC Estimation of Bayesian Vectorautoregressions
Description: Efficient Markov Chain Monte Carlo (MCMC) algorithms for the fully Bayesian estimation of vectorautoregressions (VARs) featuring stochastic volatility (SV). Implements state-of-the-art shrinkage priors following Gruber & Kastner (2023) <doi:10.48550/arXiv.2206.04902>. Efficient equation-per-equation estimation following Kastner & Huber (2020) <doi:10.1002/for.2680> and Carrerio et al. (2021) <doi:10.1016/j.jeconom.2021.11.010>.
Author: Luis Gruber [cph, aut, cre] , Gregor Kastner [ctb]
Maintainer: Luis Gruber <Luis.Gruber@aau.at>

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Package brms.mmrm updated to version 1.0.1 with previous version 1.0.0 dated 2024-06-04

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>

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Package sarsop updated to version 0.6.15 with previous version 0.6.14 dated 2023-01-10

Title: Approximate POMDP Planning Software
Description: A toolkit for Partially Observed Markov Decision Processes (POMDP). Provides bindings to C++ libraries implementing the algorithm SARSOP (Successive Approximations of the Reachable Space under Optimal Policies) and described in Kurniawati et al (2008), <doi:10.15607/RSS.2008.IV.009>. This package also provides a high-level interface for generating, solving and simulating POMDP problems and their solutions.
Author: Carl Boettiger [cre, aut, cph] , Jeroen Ooms [aut], Milad Memarzadeh [aut], Hanna Kurniawati [ctb, cph], David Hsu [ctb, cph], Hanna Kurniawati [ctb, cph], Wee Sun Lee [ctb, cph], Yanzhu Du [ctb], Xan Huang [ctb], Trey Smith [ctb, cph], Tony Cassandr [...truncated...]
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package gratia updated to version 0.9.2 with previous version 0.9.0 dated 2024-03-27

Title: Graceful 'ggplot'-Based Graphics and Other Functions for GAMs Fitted Using 'mgcv'
Description: Graceful 'ggplot'-based graphics and utility functions for working with generalized additive models (GAMs) fitted using the 'mgcv' package. Provides a reimplementation of the plot() method for GAMs that 'mgcv' provides, as well as 'tidyverse' compatible representations of estimated smooths.
Author: Gavin L. Simpson [aut, cre, cph] , Henrik Singmann [ctb]
Maintainer: Gavin L. Simpson <ucfagls@gmail.com>

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 gratia-0.9.2/gratia/NAMESPACE                                                                                   |    2 
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 gratia-0.9.2/gratia/R/confint-methods.R                                                                         |   19 
 gratia-0.9.2/gratia/R/derivatives.R                                                                             |   11 
 gratia-0.9.2/gratia/R/diagnose.R                                                                                |   34 
 gratia-0.9.2/gratia/R/draw-gam.R                                                                                |   66 
 gratia-0.9.2/gratia/R/family-utils.R                                                                            |    9 
 gratia-0.9.2/gratia/R/fitted_values.R                                                                           |    1 
 gratia-0.9.2/gratia/R/parametric-effects.R                                                                      |   45 
 gratia-0.9.2/gratia/R/posterior-samples.R                                                                       |   76 
 gratia-0.9.2/gratia/R/residuals.R                                                                               |    5 
 gratia-0.9.2/gratia/R/smooth-estimates.R                                                                        |    2 
 gratia-0.9.2/gratia/R/subsetting.R                                                                              |   24 
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 gratia-0.9.2/gratia/inst/doc/gratia.R                                                                           |    2 
 gratia-0.9.2/gratia/inst/doc/gratia.Rmd                                                                         |    7 
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 gratia-0.9.2/gratia/man/appraise.Rd                                                                             |    5 
 gratia-0.9.2/gratia/man/derivative_samples.Rd                                                                   |    7 
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 gratia-0.9.2/gratia/man/fitted_samples.Rd                                                                       |   11 
 gratia-0.9.2/gratia/man/gratia-package.Rd                                                                       |    2 
 gratia-0.9.2/gratia/man/posterior_samples.Rd                                                                    |   13 
 gratia-0.9.2/gratia/man/predicted_samples.Rd                                                                    |    2 
 gratia-0.9.2/gratia/man/response_derivatives.Rd                                                                 |    7 
 gratia-0.9.2/gratia/man/smooth_samples.Rd                                                                       |   11 
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 gratia-0.9.2/gratia/tests/testthat/test-add-functions.R                                                         |    2 
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 gratia-0.9.2/gratia/tests/testthat/test-basis.R                                                                 |   10 
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 gratia-0.9.2/gratia/tests/testthat/test-compare-smooths.R                                                       |    2 
 gratia-0.9.2/gratia/tests/testthat/test-concurvity.R                                                            |    2 
 gratia-0.9.2/gratia/tests/testthat/test-confint-methods.R                                                       |    5 
 gratia-0.9.2/gratia/tests/testthat/test-data-sim.R                                                              |    4 
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 gratia-0.9.2/gratia/tests/testthat/test-draw-parametric-effects.R                                               |   26 
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New package VsusP with initial version 1.0.0
Package: VsusP
Title: Variable Selection using Shrinkage Priors
Version: 1.0.0
Description: Bayesian variable selection using shrinkage priors to identify significant variables in high-dimensional datasets. The package includes methods for determining the number of significant variables through innovative clustering techniques of posterior distributions, specifically utilizing the 2-Means and Sequential 2-Means (S2M) approaches. The package aims to simplify the variable selection process with minimal tuning required in statistical analysis.
License: GPL (>= 3)
Encoding: UTF-8
Imports: bayesreg, stats
Suggests: covr, MASS, knitr, rmarkdown, tinytex, testthat (>= 3.0.0)
Maintainer: Nilson Chapagain <nilson.chapagain@gmail.com>
URL: https://github.com/nilson01/VsusP-variable-selection-using-shrinkage-priors
BugReports: https://github.com/nilson01/VsusP-variable-selection-using-shrinkage-priors/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-06-24 08:16:11 UTC; nilson
Author: Nilson Chapagain [aut, cre] , Debdeep Pati [aut]
Repository: CRAN
Date/Publication: 2024-06-25 14:10:02 UTC

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New package stgam with initial version 0.0.1.0
Package: stgam
Title: Spatially and Temporally Varying Coefficient Models Using Generalized Additive Models
Version: 0.0.1.0
Author: Lex Comber [aut, cre], Paul Harris [ctb], Chris Brunsdon [ctb]
Maintainer: Lex Comber <a.comber@leeds.ac.uk>
Description: A framework for specifying spatially, temporally and spatial-and-temporally varying coefficient models using Generalized Additive Models with Gaussian Process smooths. The smooths are parameterised with location and / or time attributes. Importantly the framework supports the investigation of the presence and nature of any space-time dependencies in the data, allows the user to evaluate different model forms (specifications) and to pick the most probable model or to combine multiple varying coefficient models using Bayesian Model Averaging. For more details see: Brunsdon et al (2023) <doi:10.4230/LIPIcs.GIScience.2023.17>, Comber et al (2023) <doi:10.4230/LIPIcs.GIScience.2023.22> and Comber et al (2024) <doi:10.1080/13658816.2023.2270285>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: cols4all, knitr, purrr, rmarkdown, sf, testthat (>= 3.0.0), tidyr
URL: https://github.com/lexcomber/stgam
BugReports: https://github.com/lexcomber/stgam/issues
Depends: R (>= 2.10),
LazyData: true
Imports: cowplot, doParallel, dplyr, foreach, ggplot2, glue, grDevices, magrittr, metR, mgcv, parallel, tidyselect
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-06-24 15:05:36 UTC; geoaco
Repository: CRAN
Date/Publication: 2024-06-25 14:20:02 UTC

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New package sreg with initial version 1.0.0
Package: sreg
Title: Stratified Randomized Experiments
Version: 1.0.0
Description: Estimate average treatment effects (ATEs) in stratified randomized experiments. 'sreg' is designed to accommodate scenarios with multiple treatments and cluster-level treatment assignments, and accommodates optimal linear covariate adjustment based on baseline observable characteristics. 'sreg' computes estimators and standard errors based on Bugni, Canay, Shaikh (2018) <doi:10.1080/01621459.2017.1375934>; Bugni, Canay, Shaikh, Tabord-Meehan (2024+) <doi:10.48550/arXiv.2204.08356>; and Jiang, Linton, Tang, Zhang (2023+) <doi:10.48550/arXiv.2201.13004>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, extraDistr, rlang, tidyr, cli
Suggests: haven, knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 2.10)
VignetteBuilder: knitr
URL: https://github.com/jutrifonov/sreg
BugReports: https://github.com/jutrifonov/sreg/issues
NeedsCompilation: no
Packaged: 2024-06-24 18:46:10 UTC; trifonovjuri
Author: Juri Trifonov [aut, cre, cph], Yuehao Bai [aut], Azeem Shaikh [aut], Max Tabord-Meehan [aut]
Maintainer: Juri Trifonov <jutrifonov@uchicago.edu>
Repository: CRAN
Date/Publication: 2024-06-25 14:30:01 UTC

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New package SFSI with initial version 1.4
Package: SFSI
Title: Sparse Family and Selection Index
Version: 1.4
Date: 2024-06-19
Description: Here we provide tools for the estimation of coefficients in penalized regressions when the (co)variance matrix of predictors and the covariance vector between predictors and response, are provided. These methods are extended to the context of a Selection Index (commonly used for breeding value prediction). The approaches offer opportunities such as the integration of high-throughput traits in genetic evaluations ('Lopez-Cruz et al., 2020') <doi:10.1038/s41598-020-65011-2> and solutions for training set optimization in Genomic Prediction ('Lopez-Cruz & de los Campos, 2021') <doi:10.1093/genetics/iyab030>.
URL: https://github.com/MarcooLopez/SFSI
LazyLoad: true
Depends: R (>= 3.6.0)
Imports: stats, scales, tensorEVD (>= 0.1.3), parallel, reshape2, viridis, igraph, stringr, ggplot2
Suggests: BGLR, knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
License: GPL-3
NeedsCompilation: yes
Packaged: 2024-06-25 04:41:59 UTC; marco
Author: Marco Lopez-Cruz [aut, cre], Gustavo de los Campos [aut], Paulino Perez-Rodriguez [ctb]
Maintainer: Marco Lopez-Cruz <maraloc@gmail.com>
Repository: CRAN
Date/Publication: 2024-06-25 14:50:09 UTC

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New package RiskMap with initial version 0.1.0
Package: RiskMap
Title: Geo-Statistical Modeling of Spatially Referenced Data
Version: 0.1.0
Description: Provides functions for geo-statistical analysis of both continuous and count data using maximum likelihood methods. The models implemented in the package use stationary Gaussian processes with Matern correlation function to carry out spatial prediction in a geographical area of interest. The underpinning theory of the methods implemented in the package are found in Diggle and Giorgi (2019, ISBN: 978-1-138-06102-7).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://claudiofronterre.github.io/RiskMap/
Imports: sf, stats, methods, ggplot2, Matrix, maxLik, terra, xtable
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2024-06-24 19:38:38 UTC; giorgi
Author: Emanuele Giorgi [aut, cre] , Claudio Fronterre [ctb]
Maintainer: Emanuele Giorgi <e.giorgi@lancaster.ac.uk>
Repository: CRAN
Date/Publication: 2024-06-25 14:40:05 UTC

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New package metadeconfoundR with initial version 1.0.2
Package: metadeconfoundR
Title: Covariate-Sensitive Analysis of Cross-Sectional High-Dimensional Data
Version: 1.0.2
Maintainer: Till Birkner <metadeconf@till-birkner.de>
Description: Using non-parametric tests, naive associations between omics features and metadata in cross-sectional data-sets are detected. In a second step, confounding effects between metadata associated to the same omics feature are detected and labeled using nested post-hoc model comparison tests, as first described in Forslund, Chakaroun, Zimmermann-Kogadeeva, et al. (2021) <doi:10.1038/s41586-021-04177-9>. The generated output can be graphically summarized using the built-in plotting function.
License: GPL-2
Encoding: UTF-8
LazyData: true
URL: https://github.com/TillBirkner/metadeconfoundR
BugReports: https://github.com/TillBirkner/metadeconfoundR/issues
Imports: lmtest, foreach, parallel, doParallel, stats, futile.logger, lme4, ggplot2, reshape2, methods, rlang
Depends: R (>= 3.5.0), detectseparation
Suggests: pander, knitr, gridExtra, kableExtra
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-06-24 19:41:48 UTC; tbirkne
Author: Till Birkner [aut, cre] , Sofia Kirke Forslund-Startceva [ctb]
Repository: CRAN
Date/Publication: 2024-06-25 14:40:02 UTC

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New package ExactCox with initial version 0.1.0
Package: ExactCox
Title: Exact Test and Exact Confidence Interval for the Cox Model
Version: 0.1.0
Author: Yongwu Shao [aut, cre, cph]
Maintainer: Yongwu Shao <ywshao@gmail.com>
Description: Performs the exact test on whether there is a difference between two survival curves. Exact confidence interval for the hazard ratio can also be generated for the Cox model.
Imports: BiasedUrn
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-06-25 05:38:56 UTC; donghua
Repository: CRAN
Date/Publication: 2024-06-25 15:00:01 UTC

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New package CMGFM with initial version 1.1
Package: CMGFM
Title: Covariate-Augumented Generalized Factor Model
Version: 1.1
Date: 2024-06-21
Author: Wei Liu [aut, cre], Jiakun Jiang [aut], Dewei Xiang [aut], Xuancheng Zhou [aut]
Maintainer: Wei Liu <LiuWeideng@gmail.com>
Description: Covariate-augumented generalized factor model is designed to account for cross-modal heterogeneity, capture nonlinear dependencies among the data, incorporate additional information, and provide excellent interpretability while maintaining high computational efficiency.
BugReports: https://github.com/feiyoung/CMGFM/issues
License: GPL-3
Depends: irlba, R (>= 3.5.0)
Imports: MASS, stats, GFM, Rcpp (>= 1.0.10)
Suggests: knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-06-25 04:40:10 UTC; 10297
Repository: CRAN
Date/Publication: 2024-06-25 15:00:05 UTC

More information about CMGFM at CRAN
Permanent link

Package bittermelon updated to version 2.0.2 with previous version 1.1.2 dated 2023-12-14

Title: Bitmap Tools
Description: Provides functions for creating, modifying, and displaying bitmaps including printing them in the terminal. There is a special emphasis on monochrome bitmap fonts and their glyphs as well as colored pixel art/sprites. Provides native read/write support for the 'hex' and 'yaff' bitmap font formats and if 'monobit' <https://github.com/robhagemans/monobit> is installed can also read/write several additional bitmap font formats.
Author: Trevor L. Davis [aut, cre] , Frederic Cambus [tyg] , Markus Kuhn [tyg] , josehzz [art]
Maintainer: Trevor L. Davis <trevor.l.davis@gmail.com>

Diff between bittermelon versions 1.1.2 dated 2023-12-14 and 2.0.2 dated 2024-06-25

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 bittermelon-2.0.2/bittermelon/R/bm_call.R                                     |   10 
 bittermelon-2.0.2/bittermelon/R/bm_clamp.R                                    |  104 ++
 bittermelon-2.0.2/bittermelon/R/bm_compose.R                                  |   13 
 bittermelon-2.0.2/bittermelon/R/bm_compress.R                                 |  123 ++-
 bittermelon-2.0.2/bittermelon/R/bm_distort.R                                  |  153 +++-
 bittermelon-2.0.2/bittermelon/R/bm_edit.R                                     |    2 
 bittermelon-2.0.2/bittermelon/R/bm_expand.R                                   |  109 ++
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 bittermelon-2.0.2/bittermelon/R/bm_font.R                                     |    4 
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 bittermelon-2.0.2/bittermelon/R/bm_list.R                                     |    6 
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 bittermelon-2.0.2/bittermelon/R/bm_overlay.R                                  |  162 +++-
 bittermelon-2.0.2/bittermelon/R/bm_pad.R                                      |  108 ++
 bittermelon-2.0.2/bittermelon/R/bm_padding_lengths.R                          |  119 +--
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 bittermelon-2.0.2/bittermelon/R/bm_replace.R                                  |only
 bittermelon-2.0.2/bittermelon/R/bm_resize.R                                   |  101 ++
 bittermelon-2.0.2/bittermelon/R/bm_rotate.R                                   |   71 +
 bittermelon-2.0.2/bittermelon/R/bm_shadow.R                                   |  290 ++++++-
 bittermelon-2.0.2/bittermelon/R/bm_shift.R                                    |   81 +-
 bittermelon-2.0.2/bittermelon/R/bm_trim.R                                     |  140 ++-
 bittermelon-2.0.2/bittermelon/R/combine.R                                     |   64 +
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 bittermelon-2.0.2/bittermelon/R/is_bm_matrix.R                                |only
 bittermelon-2.0.2/bittermelon/R/lengths.R                                     |   99 ++
 bittermelon-2.0.2/bittermelon/R/monobit.R                                     |  102 --
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 bittermelon-2.0.2/bittermelon/R/print.bm_bitmap.R                             |  132 ++-
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 bittermelon-2.0.2/bittermelon/man/bm_compress.Rd                              |   60 +
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 bittermelon-2.0.2/bittermelon/man/bm_edit.Rd                                  |    2 
 bittermelon-2.0.2/bittermelon/man/bm_expand.Rd                                |   40 -
 bittermelon-2.0.2/bittermelon/man/bm_extend.Rd                                |  109 ++
 bittermelon-2.0.2/bittermelon/man/bm_flip.Rd                                  |   71 +
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 bittermelon-2.0.2/bittermelon/tests/testthat/txt/capital_r_expand_2w.txt      |    2 
 bittermelon-2.0.2/bittermelon/tests/testthat/txt/capital_r_trimmed.txt        |   90 ++
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 186 files changed, 5180 insertions(+), 1741 deletions(-)

More information about bittermelon at CRAN
Permanent link

New package autovi with initial version 0.4.0
Package: autovi
Title: Auto Visual Inference with Computer Vision Models
Version: 0.4.0
Description: Provides automated visual inference of residual plots using computer vision models, facilitating diagnostic checks for classical normal linear regression models.
License: MIT + file LICENSE
URL: https://tengmcing.github.io/autovi/, https://github.com/TengMCing/autovi/
BugReports: https://github.com/TengMCing/autovi/issues
Encoding: UTF-8
Imports: bandicoot, ggplot2, stats, tibble, tools, reticulate, utils, cassowaryr, cli
Suggests: rmarkdown, knitr, testthat (>= 3.0.0), covr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-06-24 19:02:05 UTC; patrickli
Author: Weihao Li [aut, cre, cph]
Maintainer: Weihao Li <llreczx@gmail.com>
Repository: CRAN
Date/Publication: 2024-06-25 14:30:05 UTC

More information about autovi at CRAN
Permanent link

Package XML updated to version 3.99-0.17 with previous version 3.99-0.16.1 dated 2024-01-22

Title: Tools for Parsing and Generating XML Within R and S-Plus
Description: Many approaches for both reading and creating XML (and HTML) documents (including DTDs), both local and accessible via HTTP or FTP. Also offers access to an 'XPath' "interpreter".
Author: CRAN Team [ctb, cre] , Duncan Temple Lang [aut] , Tomas Kalibera [ctb]
Maintainer: CRAN Team <CRAN@r-project.org>

Diff between XML versions 3.99-0.16.1 dated 2024-01-22 and 3.99-0.17 dated 2024-06-25

 ChangeLog           |   84 +++++++++++++++++++++++++++++++++++++++++++++++++++-
 DESCRIPTION         |    6 +--
 MD5                 |    8 ++--
 src/XMLEventParse.c |   10 ++++--
 src/XMLTree.c       |    4 +-
 5 files changed, 101 insertions(+), 11 deletions(-)

More information about XML at CRAN
Permanent link

Package lme4breeding updated to version 1.0.21 with previous version 1.0.1 dated 2024-05-17

Title: Relationship-Based Mixed-Effects Models
Description: Fit relationship-based and customized mixed-effects models with complex variance-covariance structures using the 'lme4' machinery. The core computational algorithms are implemented using the 'Eigen' 'C++' library for numerical linear algebra and 'RcppEigen' 'glue'.
Author: Giovanny Covarrubias-Pazaran [aut, cre]
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

Diff between lme4breeding versions 1.0.1 dated 2024-05-17 and 1.0.21 dated 2024-06-25

 ChangeLog                   |   10 
 DESCRIPTION                 |    8 
 MD5                         |   48 +-
 R/funs.R                    |  272 ++++---------
 R/utils.R                   |  133 ++++--
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 inst/doc/lmebreed.gxe.Rmd   |   76 +--
 inst/doc/lmebreed.gxe.pdf   |binary
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 man/lme4breeding-package.Rd |    4 
 man/lmebreed.Rd             |   28 +
 man/tps.Rd                  |    2 
 man/umat.Rd                 |    5 
 vignettes/lmebreed.gxe.Rmd  |   76 +--
 vignettes/lmebreed.gxe.html |  380 ++++++++----------
 vignettes/lmebreed.qg.Rmd   |    6 
 vignettes/lmebreed.qg.html  |  892 ++++++++++++++++++++++----------------------
 25 files changed, 1024 insertions(+), 1051 deletions(-)

More information about lme4breeding at CRAN
Permanent link

Package randomForestSRC updated to version 3.3.0 with previous version 3.2.3 dated 2023-12-06

Title: Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
Description: Fast OpenMP parallel computing of Breiman's random forests for univariate, multivariate, unsupervised, survival, competing risks, class imbalanced classification and quantile regression. New Mahalanobis splitting for correlated outcomes. Extreme random forests and randomized splitting. Suite of imputation methods for missing data. Fast random forests using subsampling. Confidence regions and standard errors for variable importance. New improved holdout importance. Case-specific importance. Minimal depth variable importance. Visualize trees on your Safari or Google Chrome browser. Anonymous random forests for data privacy.
Author: Hemant Ishwaran <hemant.ishwaran@gmail.com>, Udaya B. Kogalur <ubk@kogalur.com>
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

Diff between randomForestSRC versions 3.2.3 dated 2023-12-06 and 3.3.0 dated 2024-06-25

 DESCRIPTION                       |   10 -
 MD5                               |   79 +++++++--------
 NAMESPACE                         |    4 
 R/generic.predict.rfsrc.R         |   14 +-
 R/partial.rfsrc.R                 |   37 +++++--
 R/plot.competing.risk.rfsrc.R     |   14 +-
 R/plot.subsample.rfsrc.R          |   30 +++--
 R/plot.variable.rfsrc.R           |  200 ++++++++++++++++++++------------------
 R/print.rfsrc.R                   |   32 ++++--
 R/rfsrc.R                         |   12 +-
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 R/utilities.factor.R              |   20 ++-
 R/utilities.imbalanced.R          |  177 +++++++++++++++++++++++++++++++++
 R/utilities.performance.R         |   20 +++
 R/utilities.quantreg.R            |    9 +
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 configure                         |   18 +--
 configure.ac                      |    2 
 data/breast.rda                   |binary
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 inst/NEWS                         |   14 ++
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Package quadrupen updated to version 0.2-12 with previous version 0.2-11 dated 2023-12-18

Title: Sparsity by Worst-Case Quadratic Penalties
Description: Fits classical sparse regression models with efficient active set algorithms by solving quadratic problems as described by Grandvalet, Chiquet and Ambroise (2017) <doi:10.48550/arXiv.1210.2077>. Also provides a few methods for model selection purpose (cross-validation, stability selection).
Author: Julien Chiquet [aut, cre]
Maintainer: Julien Chiquet <julien.chiquet@inrae.fr>

Diff between quadrupen versions 0.2-11 dated 2023-12-18 and 0.2-12 dated 2024-06-25

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Package antaresProcessing updated to version 0.18.2 with previous version 0.18.1 dated 2021-11-06

Title: 'Antares' Results Processing
Description: Process results generated by 'Antares', a powerful open source software developed by RTE (Réseau de Transport d’Électricité) to simulate and study electric power systems (more information about 'Antares' here: <https://github.com/AntaresSimulatorTeam/Antares_Simulator>). This package provides functions to create new columns like net load, load factors, upward and downward margins or to compute aggregated statistics like economic surpluses of consumers, producers and sectors.
Author: Tatiana Vargas [aut, cre], Jalal-Edine ZAWAM [aut], Francois Guillem [aut], Benoit Thieurmel [aut], Titouan Robert [aut], RTE [cph]
Maintainer: Tatiana Vargas <tatiana.vargas@rte-france.com>

Diff between antaresProcessing versions 0.18.1 dated 2021-11-06 and 0.18.2 dated 2024-06-25

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Package actxps updated to version 1.5.0 with previous version 1.4.0 dated 2023-11-26

Title: Create Actuarial Experience Studies: Prepare Data, Summarize Results, and Create Reports
Description: Experience studies are used by actuaries to explore historical experience across blocks of business and to inform assumption setting activities. This package provides functions for preparing data, creating studies, visualizing results, and beginning assumption development. Experience study methods, including exposure calculations, are described in: Atkinson & McGarry (2016) "Experience Study Calculations" <https://www.soa.org/49378a/globalassets/assets/files/research/experience-study-calculations.pdf>. The limited fluctuation credibility method used by the 'exp_stats()' function is described in: Herzog (1999, ISBN:1-56698-374-6) "Introduction to Credibility Theory".
Author: Matt Heaphy [aut, cre]
Maintainer: Matt Heaphy <mattrmattrs@gmail.com>

Diff between actxps versions 1.4.0 dated 2023-11-26 and 1.5.0 dated 2024-06-25

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Package SparseM updated to version 1.84 with previous version 1.83 dated 2024-05-30

Title: Sparse Linear Algebra
Description: Some basic linear algebra functionality for sparse matrices is provided: including Cholesky decomposition and backsolving as well as standard R subsetting and Kronecker products.
Author: Roger Koenker [cre, aut], Pin Tian Ng [ctb] , Yousef Saad [ctb] , Ben Shaby [ctb] , Martin Maechler [ctb] tweaks; S4, <https://orcid.org/0000-0002-8685-9910>)
Maintainer: Roger Koenker <rkoenker@uiuc.edu>

Diff between SparseM versions 1.83 dated 2024-05-30 and 1.84 dated 2024-06-25

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New package RPointCloud with initial version 0.6.2
Package: RPointCloud
Version: 0.6.2
Date: 2024-06-24
Title: Visualizing Topological Loops and Voids
Description: Visualizations to explain the results of a topological data analysis. The goal of topological data analysis is to identify persistent topological structures, such as loops (topological circles) and voids (topological spheres), in data sets. The output of an analysis using the 'TDA' package is a Rips diagram (named after the mathematician Eliyahu Rips). The goal of 'RPointCloud' is to fill in these holes in the data by providing tools to visualize the features that help explain the structures found in the Rips diagram. See McGee and colleagues (2024) <doi:10.1101/2024.05.16.593927>.
Depends: R (>= 3.5)
Imports: methods, graphics, stats, TDA, ClassDiscovery, Mercator, rgl, splines, circlize
Suggests: knitr, rmarkdown, Polychrome, igraph, ape, PCDimension
License: Artistic-2.0
URL: http://oompa.r-forge.r-project.org/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-06-24 15:20:25 UTC; KRC
Author: Kevin R. Coombes [aut, cre], Jake Reed [aut], RB McGee [aut]
Maintainer: Kevin R. Coombes <krc@silicovore.com>
Repository: CRAN
Date/Publication: 2024-06-25 11:41:08 UTC

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Package ripc updated to version 0.3.1 with previous version 0.3.0 dated 2024-04-22

Title: Download and Tidy IPC and CH Data
Description: Utilities to access Integrated Food Security Phase Classification (IPC) and Cadre Harmonisé (CH) food security data. Wrapper functions are available for all of the 'IPC-CH' Public API (<https://docs.api.ipcinfo.org>) simplified and advanced endpoints to easily download the data in a clean and tidy format.
Author: Seth Caldwell [aut, cre, cph]
Maintainer: Seth Caldwell <caldwellst@gmail.com>

Diff between ripc versions 0.3.0 dated 2024-04-22 and 0.3.1 dated 2024-06-25

 DESCRIPTION          |    6 +++---
 MD5                  |    8 ++++----
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New package phylopairs with initial version 0.1.0
Package: phylopairs
Title: Comparative Analyses of Lineage-Pair Traits
Version: 0.1.0
Description: Facilitates the testing of causal relationships among lineage-pair traits in a phylogenetically informed context. Lineage-pair traits are characters that are defined for pairs of lineages instead of individual taxa. Examples include the strength of reproductive isolation, range overlap, competition coefficient, diet niche similarity, and relative hybrid fitness. Users supply a lineage-pair dataset and a phylogeny. 'phylopairs' calculates a covariance matrix for the pairwise-defined data and provides built-in models to test for relationships among variables while taking this covariance into account. Bayesian sampling is run through built-in 'Stan' programs via the 'rstan' package. The various models and methods that this package makes available are described in Anderson et al. (In Review), Coyne and Orr (1989) <doi:10.1111/j.1558-5646.1989.tb04233.x>, Fitzpatrick (2002) <doi:10.1111/j.0014-3820.2002.tb00860.x>, and Castillo (2007) <doi:10.1002/ece3.3093>.
License: GPL (>= 3)
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.5.0)
Imports: ape, loo, methods, phytools, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.4.0)
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2024-06-24 15:29:55 UTC; Sean
Author: Sean A. S. Anderson [aut, cre]
Maintainer: Sean A. S. Anderson <sean.as.anderson@gmail.com>
Repository: CRAN
Date/Publication: 2024-06-25 11:50:03 UTC

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New package mssearchr with initial version 0.1.1
Package: mssearchr
Title: Library Search Against Electron Ionization Mass Spectral Databases
Version: 0.1.1
Description: Perform library searches against electron ionization mass spectral databases using either the API provided by 'MS Search' software (<https://chemdata.nist.gov/dokuwiki/doku.php?id=chemdata:nistlibs>) or custom implementations of the Identity and Similarity algorithms.
License: MIT + file LICENSE
URL: https://mass-spec.ru/projects/gcmsdata/mssearchr/eng/
BugReports: https://github.com/AndreySamokhin/mssearchr/issues
Depends: R (>= 3.5.0)
Imports: Rcpp
Suggests: testthat (>= 3.0.0)
LinkingTo: Rcpp
Encoding: UTF-8
NeedsCompilation: yes
LazyData: true
Packaged: 2024-06-24 15:11:58 UTC; Andrey
Author: Andrey Samokhin [aut, cre, cph]
Maintainer: Andrey Samokhin <andrey.s.samokhin@gmail.com>
Repository: CRAN
Date/Publication: 2024-06-25 11:40:36 UTC

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Package fxTWAPLS updated to version 0.1.3 with previous version 0.1.2 dated 2022-11-25

Title: An Improved Version of WA-PLS
Description: The goal of this package is to provide an improved version of WA-PLS (Weighted Averaging Partial Least Squares) by including the tolerances of taxa and the frequency of the sampled climate variable. This package also provides a way of leave-out cross-validation that removes both the test site and sites that are both geographically close and climatically close for each cycle, to avoid the risk of pseudo-replication.
Author: Mengmeng Liu [aut] , Iain Colin Prentice [aut] , Cajo J. F. ter Braak [aut] , Sandy P. Harrison [aut] , Roberto Villegas-Diaz [aut, cre] , SPECIAL Research Group @ University of Reading [cph]
Maintainer: Roberto Villegas-Diaz <r.villegas-diaz@outlook.com>

Diff between fxTWAPLS versions 0.1.2 dated 2022-11-25 and 0.1.3 dated 2024-06-25

 DESCRIPTION   |   11 +++++------
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New package FastRet with initial version 1.1.3
Package: FastRet
Title: Retention Time Prediction in Liquid Chromatography
Version: 1.1.3
Description: A framework for predicting retention times in liquid chromatography. Users can train custom models for specific chromatography columns, predict retention times using existing models, or adjust existing models to account for altered experimental conditions. The provided functionalities can be accessed either via the R console or via a graphical user interface. Related work: Bonini et al. (2020) <doi:10.1021/acs.analchem.9b05765>.
License: GPL-3
URL: https://github.com/spang-lab/FastRet/, https://spang-lab.github.io/FastRet/
BugReports: https://github.com/spang-lab/FastRet/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: bslib, caret, cluster, data.table, digest, DT, future, ggplot2, glmnet, htmltools, promises, rcdk, readxl, shiny (>= 1.8.1), shinybusy, shinyhelper, shinyjs, xgboost, xlsx
Suggests: cli, devtools, doParallel, httpgd, knitr, languageserver, lintr, pkgdown, pkgbuild, pkgload, rlang, rmarkdown, servr, tibble, testthat (>= 3.0.0), toscutil, usethis, withr
LazyData: true
NeedsCompilation: no
Packaged: 2024-06-24 13:34:58 UTC; tobi
Author: Christian Amesoeder [aut, cph] , Marian Schoen [aut, cph], Tobias Schmidt [aut, cre, cph] , Fadi Fadil [ctb] , Katja Dettmer [ths, cph] , Peter Oefner [ths, cph]
Maintainer: Tobias Schmidt <tobias.schmidt331@gmail.com>
Repository: CRAN
Date/Publication: 2024-06-25 11:20:34 UTC

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New package BRcal with initial version 0.0.4
Package: BRcal
Title: Boldness-Recalibration of Binary Events
Version: 0.0.4
Description: Boldness-recalibration maximally spreads out probability predictions while maintaining a user specified level of calibration, facilitated the brcal() function. Supporting functions to assess calibration via Bayesian and Frequentist approaches, Maximum Likelihood Estimator (MLE) recalibration, Linear in Log Odds (LLO)-adjust via any specified parameters, and visualize results are also provided. Methodological details can be found in Guthrie & Franck (2024) <doi:10.1080/00031305.2024.2339266>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.3)
LazyData: true
Imports: nloptr, fields, ggplot2
Suggests: knitr, rmarkdown, devtools, xfun, gridExtra, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/apguthrie/BRcal
BugReports: https://github.com/apguthrie/BRcal/issues
NeedsCompilation: no
Packaged: 2024-06-24 14:18:57 UTC; apgut
Author: Adeline P. Guthrie [aut, cre], Christopher T. Franck [aut]
Maintainer: Adeline P. Guthrie <apguthrie47@gmail.com>
Repository: CRAN
Date/Publication: 2024-06-25 11:30:08 UTC

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New package babette with initial version 2.3.4
Package: babette
Title: Control 'BEAST2'
Version: 2.3.4
Description: 'BEAST2' (<https://www.beast2.org>) is a widely used Bayesian phylogenetic tool, that uses DNA/RNA/protein data and many model priors to create a posterior of jointly estimated phylogenies and parameters. 'BEAST2' is commonly accompanied by 'BEAUti 2', 'Tracer' and 'DensiTree'. 'babette' provides for an alternative workflow of using all these tools separately. This allows doing complex Bayesian phylogenetics easily and reproducibly from 'R'.
License: GPL-3
VignetteBuilder: knitr
URL: https://docs.ropensci.org/babette/ (website), https://github.com/ropensci/babette
BugReports: https://github.com/ropensci/babette/issues
Depends: beautier (>= 2.6.12), beastier (>= 2.5), mauricer (>= 2.5.2), R (>= 3.5.0), tracerer
Imports: phangorn, rlang (>= 1.1.0), stringr, xml2
Suggests: ape, ggplot2, knitr, lintr, nLTT, rappdirs, rmarkdown, spelling, testthat (>= 2.1.0)
Language: en-US
Encoding: UTF-8
SystemRequirements: BEAST2 (https://www.beast2.org/)
NeedsCompilation: no
Packaged: 2024-06-24 09:17:09 UTC; richel
Author: Richel J.C. Bilderbeek [aut, cre] , Joelle Barido-Sottani [rev] , David Winter [rev] , Jason Griffiths [ctb] , Olivier Roy [ctb], Giovanni Laudanno [ctb]
Maintainer: Richel J.C. Bilderbeek <rjcbilderbeek@gmail.com>
Repository: CRAN
Date/Publication: 2024-06-25 11:20:06 UTC

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New package bsynth with initial version 1.0
Package: bsynth
Title: Bayesian Synthetic Control
Version: 1.0
Description: Implements the Bayesian Synthetic Control method for causal inference in comparative case studies. This package provides tools for estimating treatment effects in settings with a single treated unit and multiple control units, allowing for uncertainty quantification and flexible modeling of time-varying effects. The methodology is based on the paper by Vives and Martinez (2022) <doi:10.48550/arXiv.2206.01779>.
License: Apache License 2.0
URL: https://github.com/google/bsynth, https://arxiv.org/abs/2206.01779
BugReports: https://github.com/google/bsynth/issues
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.4.0)
Imports: R6, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), cubelyr, dplyr, ggplot2, glue, magrittr, methods, purrr, rstan (>= 2.18.1), rstantools (>= 2.1.1), scales, tibble, tidyr, vizdraws (>= 1.1), stats, rlang
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
Suggests: knitr, rmarkdown, roxygen2, gsynth, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-06-23 16:15:49 UTC; rstudio
Author: Ignacio Martinez [aut, cre] , Jaume [aut]
Maintainer: Ignacio Martinez <ignacio@martinez.fyi>
Repository: CRAN
Date/Publication: 2024-06-25 10:50:03 UTC

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Package seededlda updated to version 1.3.1 with previous version 1.3.0 dated 2024-06-19

Title: Seeded Sequential LDA for Topic Modeling
Description: Seeded Sequential LDA can classify sentences of texts into pre-define topics with a small number of seed words (Watanabe & Baturo, 2023) <doi:10.1177/08944393231178605>. Implements Seeded LDA (Lu et al., 2010) <doi:10.1109/ICDMW.2011.125> and Sequential LDA (Du et al., 2012) <doi:10.1007/s10115-011-0425-1> with the distributed LDA algorithm (Newman, et al., 2009) for parallel computing.
Author: Kohei Watanabe [aut, cre, cph], Phan Xuan-Hieu [aut, cph]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

Diff between seededlda versions 1.3.0 dated 2024-06-19 and 1.3.1 dated 2024-06-25

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Package nloptr updated to version 2.1.1 with previous version 2.1.0 dated 2024-06-19

Title: R Interface to NLopt
Description: Solve optimization problems using an R interface to NLopt. NLopt is a free/open-source library for nonlinear optimization, providing a common interface for a number of different free optimization routines available online as well as original implementations of various other algorithms. See <https://nlopt.readthedocs.io/en/latest/NLopt_Algorithms/> for more information on the available algorithms. Building from included sources requires 'CMake'. On Linux and 'macOS', if a suitable system build of NLopt (2.7.0 or later) is found, it is used; otherwise, it is built from included sources via 'CMake'. On Windows, NLopt is obtained through 'rwinlib' for 'R <= 4.1.x' or grabbed from the appropriate toolchain for 'R >= 4.2.0'.
Author: Jelmer Ypma [aut], Steven G. Johnson [aut] , Aymeric Stamm [ctb, cre] , Hans W. Borchers [ctb], Dirk Eddelbuettel [ctb], Brian Ripley [ctb] , Kurt Hornik [ctb] , Julien Chiquet [ctb], Avraham Adler [ctb] , Xiongtao Dai [ctb], Jeroen Ooms [ctb]
Maintainer: Aymeric Stamm <aymeric.stamm@cnrs.fr>

Diff between nloptr versions 2.1.0 dated 2024-06-19 and 2.1.1 dated 2024-06-25

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Package ReporterScore updated to version 0.1.6 with previous version 0.1.5 dated 2024-06-05

Title: Generalized Reporter Score-Based Enrichment Analysis for Omics Data
Description: Inspired by the classic 'RSA', we developed the improved 'Generalized Reporter Score-based Analysis (GRSA)' method, implemented in the R package 'ReporterScore', along with comprehensive visualization methods and pathway databases. 'GRSA' is a threshold-free method that works well with all types of biomedical features, such as genes, chemical compounds, and microbial species. Importantly, the 'GRSA' supports multi-group and longitudinal experimental designs, because of the included multi-group-compatible statistical methods.
Author: Chen Peng [aut, cre]
Maintainer: Chen Peng <pengchen2001@zju.edu.cn>

Diff between ReporterScore versions 0.1.5 dated 2024-06-05 and 0.1.6 dated 2024-06-25

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Package QTLEMM updated to version 2.1.0 with previous version 2.0.0 dated 2024-06-21

Title: QTL Mapping and Hotspots Detection
Description: For QTL mapping, this package comprises several functions designed to execute diverse tasks, such as simulating or analyzing data, calculating significance thresholds, and visualizing QTL mapping results. The single-QTL or multiple-QTL method, which enables the fitting and comparison of various statistical models, is employed to analyze the data for estimating QTL parameters. The models encompass linear regression, permutation tests, normal mixture models, and truncated normal mixture models. The Gaussian stochastic process is utilized to compute significance thresholds for QTL detection on a genetic linkage map within experimental populations. Two types of data, complete genotyping, and selective genotyping data from various experimental populations, including backcross, F2, recombinant inbred (RI) populations, and advanced intercrossed (AI) populations, are considered in the QTL mapping analysis. For QTL hotspot detection, statistical methods can be developed based on either utilizin [...truncated...]
Author: Ping-Yuan Chung [cre], Chen-Hung Kao [aut], Y.-T. Guo [aut], H.-N. Ho [aut], H.-I. Lee [aut], P.-Y. Wu [aut], M.-H. Yang [aut], M.-H. Zeng [aut]
Maintainer: Ping-Yuan Chung <pychung@webmail.stat.sinica.edu.tw>

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Package fpp3 updated to version 1.0.0 with previous version 0.5 dated 2023-01-31

Title: Data for "Forecasting: Principles and Practice" (3rd Edition)
Description: All data sets required for the examples and exercises in the book "Forecasting: principles and practice" by Rob J Hyndman and George Athanasopoulos <https://OTexts.com/fpp3/>. All packages required to run the examples are also loaded. Additional data sets not used in the book are also included.
Author: Rob Hyndman [aut, cre, cph] , George Athanasopoulos [ctb], Mitchell O'Hara-Wild [ctb], Nuwani Palihawadana [ctb], Shanika Wickramasuriya [ctb], RStudio [cph]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>

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Package chemdeg updated to version 0.1.4 with previous version 0.1.2 dated 2023-05-17

Title: Analysis of Chemical Degradation Kinetic Data
Description: A collection of functions that have been developed to assist experimenter in modeling chemical degradation kinetic data. The selection of the appropriate degradation model and parameter estimation is carried out automatically as far as possible and is driven by a rigorous statistical interpretation of the results. The package integrates already available goodness-of-fit statistics for nonlinear models. In addition it allows data fitting with the nonlinear first-order multi-target (FOMT) model.
Author: Matteo Migliorini [aut, cre, cph], Roberto Chignola [aut]
Maintainer: Matteo Migliorini <matteo.migliorini@univr.it>

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Package RcmdrPlugin.EZR updated to version 1.68 with previous version 1.67 dated 2024-05-24

Title: R Commander Plug-in for the EZR (Easy R) Package
Description: EZR (Easy R) adds a variety of statistical functions, including survival analyses, ROC analyses, metaanalyses, sample size calculation, and so on, to the R commander. EZR enables point-and-click easy access to statistical functions, especially for medical statistics. EZR is platform-independent and runs on Windows, Mac OS X, and UNIX. Its complete manual is available only in Japanese (Chugai Igakusha, ISBN: 978-4-498-10918-6, Nankodo, ISBN: 978-4-524-26158-1, Ohmsha, ISBN: 978-4-274-22632-8), but an report that introduced the investigation of EZR was published in Bone Marrow Transplantation (Nature Publishing Group) as an Open article. This report can be used as a simple manual. It can be freely downloaded from the journal website as shown below. This report has been cited in more than 10,000 scientific articles.
Author: Yoshinobu Kanda
Maintainer: Yoshinobu Kanda <ycanda-tky@umin.ac.jp>

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Package MetaHD updated to version 0.1.1 with previous version 0.1.0 dated 2024-06-07

Title: A Multivariate Meta-Analysis Model for Metabolomics Data
Description: Performs multivariate meta-analysis for high-dimensional metabolomics data for integrating and collectively analysing individual-level metabolomics data generated from multiple studies as well as for combining summary estimates. This approach accounts for correlation between metabolites, considers variability within and between studies, handles missing values and uses shrinkage estimation to allow for high dimensionality. A detailed vignette with example datasets and code to prepare data and analyses are available on <https://bookdown.org/a2delivera/MetaHD/>.
Author: Jayamini Liyanage [aut, cre], Alysha De Livera [aut]
Maintainer: Jayamini Liyanage <j.liyanage@latrobe.edu.au>

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Package ciftiTools updated to version 0.15.1 with previous version 0.14.0 dated 2024-02-24

Title: Tools for Reading, Writing, Viewing and Manipulating CIFTI Files
Description: CIFTI files contain brain imaging data in "grayordinates," which represent the gray matter as cortical surface vertices (left and right) and subcortical voxels (cerebellum, basal ganglia, and other deep gray matter). 'ciftiTools' provides a unified environment for reading, writing, visualizing and manipulating CIFTI-format data. It supports the "dscalar," "dlabel," and "dtseries" intents. Grayordinate data is read in as a "xifti" object, which is structured for convenient access to the data and metadata, and includes support for surface geometry files to enable spatially-dependent functionality such as static or interactive visualizations and smoothing.
Author: Amanda Mejia [aut, cre], Damon Pham [aut] , John Muschelli [ctb]
Maintainer: Amanda Mejia <mandy.mejia@gmail.com>

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