Fri, 25 Oct 2024

Package SuperCell updated to version 1.0.1 with previous version 1.0 dated 2024-09-05

Title: Simplification of scRNA-Seq Data by Merging Together Similar Cells
Description: Aggregates large single-cell data into metacell dataset by merging together gene expression of very similar cells. 'SuperCell' uses 'velocyto.R' <doi:10.1038/s41586-018-0414-6> <https://github.com/velocyto-team/velocyto.R> for RNA velocity. We also recommend installing 'scater' Bioconductor package <doi:10.18129/B9.bioc.scater> <https://bioconductor.org/packages/release/bioc/html/scater.html>.
Author: Mariia Bilous [aut], Leonard Herault [cre]
Maintainer: Leonard Herault <leonard.herault@unil.ch>

Diff between SuperCell versions 1.0 dated 2024-09-05 and 1.0.1 dated 2024-10-25

 SuperCell-1.0.1/SuperCell/DESCRIPTION               |    6 +++---
 SuperCell-1.0.1/SuperCell/MD5                       |    5 ++---
 SuperCell-1.0.1/SuperCell/inst/doc/a_SuperCell.html |   15 ++-------------
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 4 files changed, 7 insertions(+), 19 deletions(-)

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Package GofCens updated to version 1.2 with previous version 1.1 dated 2024-07-29

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

Diff between GofCens versions 1.1 dated 2024-07-29 and 1.2 dated 2024-10-25

 DESCRIPTION            |   14 
 MD5                    |   79 ++-
 NAMESPACE              |    6 
 R/ADcens.default.R     |   68 ++-
 R/CvMcens.default.R    |   67 ++-
 R/KScens.default.R     | 1017 +++++++++++++++++++++++++++++++++++++++++--------
 R/chisqcens.default.R  |   72 ++-
 R/cumhazPlot.default.R |   81 +++
 R/gofcens.default.R    |  740 ++++++++++++++++++++++++++++++++++-
 R/kmPlot.default.R     |   81 +++
 R/plot.kmPlot.R        |   40 +
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 39 files changed, 2840 insertions(+), 838 deletions(-)

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Package BayesMultiMode updated to version 0.7.2 with previous version 0.7.1 dated 2024-03-21

Title: Bayesian Mode Inference
Description: A two-step Bayesian approach for mode inference following Cross, Hoogerheide, Labonne and van Dijk (2024) <doi:10.1016/j.econlet.2024.111579>). First, a mixture distribution is fitted on the data using a sparse finite mixture (SFM) Markov chain Monte Carlo (MCMC) algorithm. The number of mixture components does not have to be known; the size of the mixture is estimated endogenously through the SFM approach. Second, the modes of the estimated mixture at each MCMC draw are retrieved using algorithms specifically tailored for mode detection. These estimates are then used to construct posterior probabilities for the number of modes, their locations and uncertainties, providing a powerful tool for mode inference.
Author: Nalan Bastuerk [aut], Jamie Cross [aut], Peter de Knijff [aut], Lennart Hoogerheide [aut], Paul Labonne [aut, cre], Herman van Dijk [aut]
Maintainer: Paul Labonne <labonnepaul@gmail.com>

Diff between BayesMultiMode versions 0.7.1 dated 2024-03-21 and 0.7.2 dated 2024-10-25

 DESCRIPTION                         |   16 
 MD5                                 |   44 -
 NEWS.md                             |    8 
 R/bayes_fit.R                       |  208 ++++----
 R/bayes_mixture.R                   |  186 ++++---
 R/bayes_mode.R                      |  420 +++++++++--------
 R/bayes_trace.R                     |   49 +-
 R/data.R                            |   20 
 R/gibbs_sfm_algos.R                 |  876 ++++++++++++++++++------------------
 R/mix_mode.R                        |  479 ++++++++++---------
 R/mixture.R                         |  125 ++---
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 tests/testthat/_snaps/bayes_mode.md |   79 ++-
 23 files changed, 1987 insertions(+), 1662 deletions(-)

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Package gMOIP updated to version 1.5.4 with previous version 1.5.3 dated 2024-10-09

Title: Tools for 2D and 3D Plots of Single and Multi-Objective Linear/Integer Programming Models
Description: Make 2D and 3D plots of linear programming (LP), integer linear programming (ILP), or mixed integer linear programming (MILP) models with up to three objectives. Plots of both the solution and criterion space are possible. For instance the non-dominated (Pareto) set for bi-objective LP/ILP/MILP programming models (see vignettes for an overview). The package also contains an function for checking if a point is inside the convex hull.
Author: Lars Relund Nielsen [aut, cre]
Maintainer: Lars Relund Nielsen <lars@relund.dk>

Diff between gMOIP versions 1.5.3 dated 2024-10-09 and 1.5.4 dated 2024-10-25

 DESCRIPTION                       |    8 +++---
 MD5                               |   20 ++++++++---------
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 R/ndset.R                         |    2 -
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 inst/doc/bi-objective_3x_ex1.html |   36 +++++++++++++++----------------
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 11 files changed, 108 insertions(+), 104 deletions(-)

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Package bbotk updated to version 1.2.0 with previous version 1.1.1 dated 2024-10-15

Title: Black-Box Optimization Toolkit
Description: Features highly configurable search spaces via the 'paradox' package and optimizes every user-defined objective function. The package includes several optimization algorithms e.g. Random Search, Iterated Racing, Bayesian Optimization (in 'mlr3mbo') and Hyperband (in 'mlr3hyperband'). bbotk is the base package of 'mlr3tuning', 'mlr3fselect' and 'miesmuschel'.
Author: Marc Becker [cre, aut] , Jakob Richter [aut] , Michel Lang [aut] , Bernd Bischl [aut] , Martin Binder [aut], Olaf Mersmann [ctb]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between bbotk versions 1.1.1 dated 2024-10-15 and 1.2.0 dated 2024-10-25

 DESCRIPTION                         |    6 +++---
 MD5                                 |   34 +++++++++++++++++-----------------
 NEWS.md                             |    7 +++++++
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 R/ContextBatch.R                    |   10 ++++++++++
 R/OptimInstance.R                   |    1 +
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 18 files changed, 114 insertions(+), 37 deletions(-)

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New package UnplanSimon with initial version 0.1.0
Package: UnplanSimon
Title: Methods for Managing Enrollment Deviation in Simon's Two-Stage Design
Version: 0.1.0
Maintainer: Yunhe Liu <yunhe.liu@tamu.edu>
Description: Methods for managing under- and over-enrollment in Simon's Two-Stage Design are offered by providing adaptive threshold adjustments and sample size recalibration. It also includes post-inference analysis tools to support clinical trial design and evaluation. The package is designed to enhance flexibility and accuracy in trial design, ensuring better outcomes in oncology and other clinical studies. Yunhe Liu, Haitao Pan (2024). Submitted.
License: GPL (>= 3)
Encoding: UTF-8
Imports: stats
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, clinfun (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-24 15:10:03 UTC; iad
Author: Yunhe Liu [aut, cre], Haitao Pan [aut]
Repository: CRAN
Date/Publication: 2024-10-25 09:10:06 UTC

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New package spBPS with initial version 0.0-4
Package: spBPS
Title: Bayesian Predictive Stacking for Scalable Geospatial Transfer Learning
Version: 0.0-4
Maintainer: Luca Presicce <l.presicce@campus.unimib.it>
Author: Luca Presicce [aut, cre] , Sudipto Banerjee [aut]
Description: Provides functions for Bayesian Predictive Stacking within the Bayesian transfer learning framework for geospatial artificial systems, as introduced in "Bayesian Transfer Learning for Artificially Intelligent Geospatial Systems: A Predictive Stacking Approach" (Presicce and Banerjee, 2024) <doi:10.48550/arXiv.2410.09504>. This methodology enables efficient Bayesian geostatistical modeling, utilizing predictive stacking to improve inference across spatial datasets. The core functions leverage 'C++' for high-performance computation, making the framework well-suited for large-scale spatial data analysis in parallel and distributed computing environments. Designed for scalability, it allows seamless application in computationally demanding scenarios.
Depends: R (>= 1.8.0)
Imports: Rcpp, CVXR, mniw
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, mvnfast, foreach, parallel, doParallel, tictoc, MBA, RColorBrewer, classInt, sp, fields, testthat (>= 3.0.0)
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-10-24 16:20:38 UTC; presi
Repository: CRAN
Date/Publication: 2024-10-25 09:20:01 UTC

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New package minired with initial version 1.0.0
Package: minired
Title: R Interface to 'Redatam' Library
Version: 1.0.0
Date: 2024-10-10
Maintainer: Jaime Salvador <jaime.salvador@ideasybits.com>
Description: Provides an API to work with 'Redatam' (see <https://www.redatam.org>) databases in both formats: 'RXDB' (new format) and 'DICX' (old format) and running 'Redatam' programs written in 'SPC' language. It's a wrapper around 'Redatam' core and provides functions to open a database ('redatam_open()'), list entities and variables from the database ('redatam_entities()', 'redatam_variables()') and execute a 'SPC' program and gets the results as data frames ('redatam_query()'/'redatam_run()').
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
NeedsCompilation: yes
LinkingTo: cpp11
SystemRequirements: 'Redatam' runtime engine (see https://redatam.org), The dynamic binary library is downloaded from <https://redatam-core.s3.us-west-2.amazonaws.com> during the build step. Currently supported platforms are Windows and Linux (both for x86-64 processors only)
Copyright: See COPYRIGHTS for details.
Packaged: 2024-10-24 15:47:32 UTC; jsalvador2024
Author: Jaime Salvador [aut, cre] , CELADE [cph]
Repository: CRAN
Date/Publication: 2024-10-25 09:20:06 UTC

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New package icesDatsuQC with initial version 1.2.0
Package: icesDatsuQC
Version: 1.2.0
Title: Run Quality Checks on Data Prior to Submission to ICES
Description: Run quality checks on data sets using the same checks that are conducted on the ICES Data Submission Utility (DATSU) <https://datsu.ices.dk>.
License: GPL (>= 2)
Imports: sqldf, icesDatsu (>= 1.1.0), icesVocab, glue
Encoding: UTF-8
URL: https://datsu.ices.dk, https://github.com/ices-tools-prod/icesDatsuQC
BugReports: https://github.com/ices-tools-prod/icesDatsuQC/issues
Language: en-GB
NeedsCompilation: no
Packaged: 2024-10-25 06:09:11 UTC; colin
Author: Colin Millar [aut, cre], Carlos Pinto [aut]
Maintainer: Colin Millar <colin.millar@ices.dk>
Repository: CRAN
Date/Publication: 2024-10-25 09:20:10 UTC

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Package GJRM updated to version 0.2-6.7 with previous version 0.2-6.5 dated 2024-01-25

Title: Generalised Joint Regression Modelling
Description: Routines for fitting various joint (and univariate) regression models, with several types of covariate effects, in the presence of equations' errors association, endogeneity, non-random sample selection or partial observability.
Author: Giampiero Marra [aut, cre], Rosalba Radice [aut]
Maintainer: Giampiero Marra <giampiero.marra@ucl.ac.uk>

Diff between GJRM versions 0.2-6.5 dated 2024-01-25 and 0.2-6.7 dated 2024-10-25

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New package gglogger with initial version 0.1.5
Package: gglogger
Title: Track 'ggplot2' Calls
Version: 0.1.5
Description: Provides a way to log 'ggplot' component calls, which can be useful for debugging and understanding how 'ggplot' objects are created. The logged calls can be printed, saved, and re-executed to reproduce the original 'ggplot' object.
License: MIT + file LICENSE
Imports: ggplot2, cli, methods
Suggests: rlang, testthat
Encoding: UTF-8
URL: https://github.com/pwwang/gglogger/
NeedsCompilation: no
Packaged: 2024-10-24 16:10:31 UTC; pwwang
Author: Panwen Wang [aut, cre]
Maintainer: Panwen Wang <pwwang@pwwang.com>
Repository: CRAN
Date/Publication: 2024-10-25 09:10:02 UTC

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New package GeneScoreR with initial version 0.1.1
Package: GeneScoreR
Title: Gene Scoring from Count Tables
Version: 0.1.1
Description: Provides two methods for automatic calculation of gene scores from gene count tables: the z-score method, which requires a table of samples being scored and a count table with control samples, and the geometric mean method, which does not rely on control samples. The mathematical methods implemented are described by Kim et al. (2018) <doi:10.1089/jir.2017.0127>.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-10-24 15:59:42 UTC; ariseleftheriossyntakas
Author: Aris Syntakas [aut, cre]
Maintainer: Aris Syntakas <sejjsyn@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2024-10-25 09:10:10 UTC

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New package deeptimedata with initial version 1.0.0
Package: deeptimedata
Title: Geologic Pattern Data from FGDC Used in 'deeptime'
Version: 1.0.0
Maintainer: William Gearty <willgearty@gmail.com>
Description: Geologic pattern data from <https://ngmdb.usgs.gov/fgdc_gds/geolsymstd.php>. Access functions are provided in the accompanying package 'deeptime'.
URL: http://williamgearty.com/deeptimedata/, https://github.com/willgearty/deeptimedata
BugReports: https://github.com/willgearty/deeptimedata/issues
Depends: R (>= 2.10)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: grImport2, rsvg, usethis
NeedsCompilation: no
Packaged: 2024-10-24 17:40:53 UTC; willg
Author: William Gearty [aut, cre, cph]
Repository: CRAN
Date/Publication: 2024-10-25 09:30:02 UTC

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New package regMMD with initial version 0.0.1
Package: regMMD
Version: 0.0.1
Title: Robust Regression and Estimation Through Maximum Mean Discrepancy Minimization
Description: The functions in this package compute robust estimators by minimizing a kernel-based distance known as MMD (Maximum Mean Discrepancy) between the sample and a statistical model. Recent works proved that these estimators enjoy a universal consistency property, and are extremely robust to outliers. Various optimization algorithms are implemented: stochastic gradient is available for most models, but the package also allows gradient descent in a few models for which an exact formula is available for the gradient. In terms of distribution fit, a large number of continuous and discrete distributions are available: Gaussian, exponential, uniform, gamma, Poisson, geometric, etc. In terms of regression, the models available are: linear, logistic, gamma, beta and Poisson. Alquier, P. and Gerber, M. (2024) <doi:10.1093/biomet/asad031> Cherief-Abdellatif, B.-E. and Alquier, P. (2022) <doi:10.3150/21-BEJ1338>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: Rdpack (>= 0.7)
Author: Pierre Alquier [aut, cre] , Mathieu Gerber [aut]
Maintainer: Pierre Alquier <pierre.alquier.stat@gmail.com>
NeedsCompilation: no
Packaged: 2024-10-23 01:49:30 UTC; alquier
Repository: CRAN
Date/Publication: 2024-10-25 08:10:02 UTC

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New package psvd with initial version 0.1-0
Package: psvd
Version: 0.1-0
Date: 2024-10-02
Title: Eigendecomposition, Singular-Values and the Power Method
Author: Doulaye Dembele [aut, cre]
Maintainer: Doulaye Dembele <doulaye@igbmc.fr>
Depends: R (>= 4.0),
Description: For a data matrix with m rows and n columns (m>=n), the power method is used to compute, simultaneously, the eigendecomposition of a square symmetric matrix. This result is used to obtain the singular value decomposition (SVD) and the principal component analysis (PCA) results. Compared to the classical SVD method, the first r singular values can be computed.
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2024-10-23 06:52:38 UTC; doulaye
Repository: CRAN
Date/Publication: 2024-10-25 08:10:05 UTC

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Package pharmaverseadam updated to version 1.1.0 with previous version 1.0.0 dated 2024-07-01

Title: ADaM Test Data for the 'Pharmaverse' Family of Packages
Description: A set of Analysis Data Model (ADaM) datasets constructed using the Study Data Tabulation Model (SDTM) datasets contained in the 'pharmaversesdtm' package and the template scripts from the 'admiral' family of packages. ADaM dataset specifications are described in the CDISC ADaM implementation guide, accessible by creating a free account on <https://www.cdisc.org/>.
Author: Edoardo Mancini [aut, cre] , Kangjie Zhang [aut], Stefan Bundfuss [aut] , Gayatri G [aut], Daphne Grassely [aut], Zelos Zhu [aut], Sadchla Mascary [aut]
Maintainer: Edoardo Mancini <edoardo.mancini@roche.com>

Diff between pharmaverseadam versions 1.0.0 dated 2024-07-01 and 1.1.0 dated 2024-10-25

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Package kerntools updated to version 1.1.0 with previous version 1.0.2 dated 2024-09-04

Title: Kernel Functions and Tools for Machine Learning Applications
Description: Kernel functions for diverse types of data (including, but not restricted to: nonnegative and real vectors, real matrices, categorical and ordinal variables, sets, strings), plus other utilities like kernel similarity, kernel Principal Components Analysis (PCA) and features' importance for Support Vector Machines (SVMs), which expand other 'R' packages like 'kernlab'.
Author: Elies Ramon [aut, cre, cph]
Maintainer: Elies Ramon <eramon@everlyrusher.com>

Diff between kerntools versions 1.0.2 dated 2024-09-04 and 1.1.0 dated 2024-10-25

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New package leafletZH with initial version 0.1.0
Package: leafletZH
Title: Adds a Chinese Choropleth Leaflet Map
Version: 0.1.0
Maintainer: Damonsoul <chenmaowei96@gmail.com>
Description: Provides 'sf' data for Chinese provinces and cities, methods for plotting shape maps of Chinese provinces and cities, and a layer for 'leaflet' with Gaode tiles. It is designed to facilitate geographical data visualization in China.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: geojsonsf, htmltools, htmlwidgets, leaflet, leaflet.extras, sf, stringr
Depends: R (>= 4.0.0)
NeedsCompilation: no
Packaged: 2024-10-24 05:41:22 UTC; Administrator
Author: Damonsoul [aut, cre]
Repository: CRAN
Date/Publication: 2024-10-25 08:40:02 UTC

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New package immunaut with initial version 1.0.0
Package: immunaut
Version: 1.0.0
Date: 2024-10-22
Title: 'Immunaut': Platform for Machine Learning-Driven Immunogenicity Analysis and Vaccine Response Prediction
Author: Ivan Tomic [aut, cre, cph] , Adriana Tomic [aut, ctb, cph, fnd] , Stephanie Hao [aut]
Description: Used for analyzing immune responses and predicting vaccine efficacy using machine learning and advanced data processing techniques. 'Immunaut' integrates both unsupervised and supervised learning methods, managing outliers and capturing immune response variability. It performs multiple rounds of predictive model testing to identify robust immunogenicity signatures that can predict vaccine responsiveness. The platform is designed to handle high-dimensional immune data, enabling researchers to uncover immune predictors and refine personalized vaccination strategies across diverse populations.
Maintainer: Ivan Tomic <info@ivantomic.com>
Packaged: 2024-10-23 18:22:04 UTC; login
Imports: cluster, plyr, dplyr, caret, pROC, PRROC, stats, rlang, Rtsne, dbscan, FNN, igraph, fpc, mclust, ggplot2, grDevices, RColorBrewer
Depends: R (>= 3.4.0)
URL: https://github.com/atomiclaboratory/immunaut, <https://atomic-lab.org>
BugReports: https://github.com/atomiclaboratory/immunaut/issues
License: GPL-3
Encoding: UTF-8
LazyLoad: yes
LazyData: yes
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2024-10-25 08:40:05 UTC

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New package GitStats with initial version 2.1.1
Package: GitStats
Title: Get Statistics from 'GitHub' and 'GitLab'
Version: 2.1.1
Description: Obtain statistics in a standardized way from multiple 'Git' services: 'GitHub' and 'GitLab' for the time-being. Its main purpose is to help teams, whose activities are spread across multiple git platforms, get their repository metadata in a standardized way from all these platforms.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://r-world-devs.github.io/GitStats/, https://github.com/r-world-devs/GitStats
BugReports: https://github.com/r-world-devs/GitStats/issues
Imports: cli, dplyr, glue, httr2, lubridate (>= 1.8.0), magrittr, rlang (>= 1.1.0), R6, purrr (>= 1.0.0), stringr
Suggests: spelling, knitr, mockery, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2024-10-23 08:14:27 UTC; banasm
Author: Maciej Banas [aut, cre], Kamil Koziej [aut], Karolina Marcinkowska [aut], Matt Secrest [aut]
Maintainer: Maciej Banas <banasmaciek@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-25 08:10:12 UTC

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New package dsTidyverse with initial version 1.0.1
Package: dsTidyverse
Title: 'DataSHIELD' 'Tidyverse' Serverside Package
Version: 1.0.1
Maintainer: Tim Cadman <t.j.cadman@umcg.nl>
Description: Implementation of selected 'Tidyverse' functions within 'DataSHIELD', an open-source federated analysis solution in R. Currently, DataSHIELD contains very limited tools for data manipulation, so the aim of this package is to improve the researcher experience by implementing essential functions for data manipulation, including subsetting, filtering, grouping, and renaming variables. For more information, see <https://www.tidyverse.org/> and <https://datashield.org/>.
License: LGPL (>= 2.1)
Encoding: UTF-8
Imports: rlang, cli
Suggests: testthat (>= 3.0.0), tibble, DSLite, dsBaseClient, dsBase, DSI, dplyr, purrr, mockery
Additional_repositories: https://cran.obiba.org/
NeedsCompilation: no
Packaged: 2024-10-17 15:03:59 UTC; timcadman
Author: Tim Cadman [aut, cre] , Mariska Slofstra [aut] , Stuart Wheater [aut], Demetris Avraam [aut]
Repository: CRAN
Date/Publication: 2024-10-25 08:50:02 UTC

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New package dexisensitivity with initial version 1.0.0
Package: dexisensitivity
Title: 'DEXi' Decision Tree Analysis and Visualization
Version: 1.0.0
Description: Provides a versatile toolkit for analyzing and visualizing 'DEXi' (Decision EXpert for education) decision trees, facilitating multi-criteria decision analysis directly within R. Users can read .dxi files, manipulate decision trees, and evaluate various scenarios. It supports sensitivity analysis through Monte Carlo simulations, one-at-a-time approaches, and variance-based methods, helping to discern the impact of input variations. Additionally, it includes functionalities for generating sampling plans and an array of visualization options for decision trees and analysis results. A distinctive feature is the synoptic table plot, aiding in the efficient comparison of scenarios. Whether for in-depth decision modeling or sensitivity analysis, this package stands as a comprehensive solution. Definition of sensitivity analyses available in Carpani, Bergez and Monod (2012) <doi:10.1016/j.envsoft.2011.10.002> and detailed description of the package soon available in Alaphilippe, Allart, [...truncated...]
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: methods, XML, AlgDesign, grDevices, graphics, plotrix, genalg, dplyr, ggplot2, testthat (>= 3.0.0), xml2
Suggests: sloop, vdiffr
LazyData: true
NeedsCompilation: no
Packaged: 2024-10-23 14:05:45 UTC; nicavan
Author: Roland Allart [aut], Jacques-Eric Bergez [aut] , Marta Carpani [aut], Herve Monod [aut] , Aude Alaphilippe [ctb] , Nicolas Cavan [ctb, cre], INRAE [cph] )
Maintainer: Nicolas Cavan <nicolas.cavan@inrae.fr>
Repository: CRAN
Date/Publication: 2024-10-25 08:30:01 UTC

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New package clustcurv with initial version 2.0.2
Package: clustcurv
Title: Determining Groups in Multiples Curves
URL: https://github.com/noramvillanueva/clustcurv
BugReports: https://github.com/noramvillanueva/clustcurv/issues
Version: 2.0.2
Date: 2024-10-09
Maintainer: Nora M. Villanueva <nmvillanueva@uvigo.es>
Description: A method for determining groups in multiple curves with an automatic selection of their number based on k-means or k-medians algorithms. The selection of the optimal number is provided by bootstrap methods. The methodology can be applied both in regression and survival framework. Implemented methods are: Grouping multiple survival curves described by Villanueva et al. (2018) <doi:10.1002/sim.8016>.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: doParallel, doRNG, foreach, ggfortify, ggplot2, Gmedian, grDevices, npregfast, RColorBrewer, survival
Suggests: covr, knitr, plotly, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-23 10:39:34 UTC; sestelo
Author: Nora M. Villanueva [aut, cre] , Marta Sestelo [aut]
Repository: CRAN
Date/Publication: 2024-10-25 08:20:07 UTC

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New package atlasapprox with initial version 0.1.0
Package: atlasapprox
Title: Cell Atlas Approximations
Version: 0.1.0
Maintainer: Ying Xu <ying.xu3@unsw.edu.au>
Description: Provides an interface in R to cell atlas approximations. See the vignette under "Getting started" for instructions. You can also explore the reference documentation for specific functions. Additional interfaces and resources are available at <https://atlasapprox.readthedocs.io>.
License: MIT + file LICENSE
URL: https://atlasapprox.readthedocs.io/en/latest/R/index.html, https://github.com/fabilab/cell_atlas_approximations_API
BugReports: https://github.com/fabilab/cell_atlas_approximations_API/issues
Imports: httr
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-23 05:53:14 UTC; yingxu
Author: Fabio Zanini [aut] , Ying Xu [aut, cre]
Repository: CRAN
Date/Publication: 2024-10-25 08:10:08 UTC

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New package abima with initial version 1.0
Package: abima
Title: Adaptive Bootstrap Inference for Mediation Analysis with Enhanced Statistical Power
Version: 1.0
Description: Assess whether and how a specific exposure affects the outcome of interest through intermediate variables using adaptive bootstrap. The adaptive method considers the composite structure of no mediation effect, resulting in calibrated type I error and improved statistical power. For more information, refer to He, Song and Xu (2024) <doi:10.1093/jrsssb/qkad129>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: boot, stats
URL: https://github.com/canyi-chen/abima
BugReports: https://github.com/canyi-chen/abima/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-10-24 05:47:30 UTC; chencanyi
Author: Canyi Chen [aut, cre] , Yinqiu He [aut], Gongjun Xu [aut], Peter X.-K. Song [aut, cph]
Maintainer: Canyi Chen <cychen.stats@outlook.com>
Repository: CRAN
Date/Publication: 2024-10-25 08:40:11 UTC

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New package svyROC with initial version 1.0.0
Package: svyROC
Title: Estimation of the ROC Curve and the AUC for Complex Survey Data
Version: 1.0.0
Maintainer: Amaia Iparragirre <amaia.iparragirre@ehu.eus>
Description: Estimate the receiver operating characteristic (ROC) curve, area under the curve (AUC) and optimal cut-off points for individual classification taking into account complex sampling designs when working with complex survey data. Methods implemented in this package are described in: A. Iparragirre, I. Barrio, I. Arostegui (2024) <doi:10.1002/sta4.635>; A. Iparragirre, I. Barrio, J. Aramendi, I. Arostegui (2022) <doi:10.2436/20.8080.02.121>; A. Iparragirre, I. Barrio (2024) <doi:10.1007/978-3-031-65723-8_7>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Imports: survey, svyVarSel
NeedsCompilation: no
Packaged: 2024-10-22 17:58:24 UTC; amaiaiparragirre
Author: Amaia Iparragirre [aut, cre, cph] , Irantzu Barrio [aut], Inmaculada Arostegui [aut]
Repository: CRAN
Date/Publication: 2024-10-25 07:40:02 UTC

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New package RPatternJoin with initial version 1.0.0
Package: RPatternJoin
Title: String Similarity Joins for Hamming and Levenshtein Distances
Version: 1.0.0
Date: 2024-10-11
Description: This project is a tool for words edit similarity joins (a.k.a. all-pairs similarity search) under small (< 3) edit distance constraints. It works for Levenshtein/Hamming distances and words from any alphabet. The software was originally developed for joining amino-acid/nucleotide sequences from Adaptive Immune Repertoires, where the number of words is relatively large (10^5-10^6) and the average length of words is relatively small (10-100).
License: MIT + file LICENSE
Suggests: Matrix, testthat, stringdist
Imports: Rcpp (>= 1.0.13), stats
LinkingTo: Rcpp, RcppArmadillo
Language: en-US
NeedsCompilation: yes
Packaged: 2024-10-22 17:11:41 UTC; daniil
Author: Daniil Matveev [aut, cre], Martin Leitner-Ankerl [ctb, cph], Gene Harvey [ctb, cph]
Maintainer: Daniil Matveev <dmatveev@sfsu.edu>
Repository: CRAN
Date/Publication: 2024-10-25 07:30:10 UTC

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New package pioneeR with initial version 0.5.0
Package: pioneeR
Title: Productivity and Efficiency Analysis using DEA
Version: 0.5.0
Description: Measure productivity and efficiency using Data Envelopment Analysis (DEA). Available methods include DEA under different technology assumptions, bootstrapping of efficiency scores and calculation of the Malmquist productivity index. Analyses can be performed either in the console or with the provided 'shiny' app. See Banker, R.; Charnes, A.; Cooper, W.W. (1984) <doi:10.1287/mnsc.30.9.1078>, Färe, R.; Grosskopf, S. (1996) <doi:10.1007/978-94-009-1816-0>.
License: GPL-3
URL: https://riksrevisjonen.github.io/pioneeR/, https://github.com/Riksrevisjonen/pioneeR
BugReports: https://github.com/Riksrevisjonen/pioneeR/issues
Depends: R (>= 4.1.0), shiny (>= 1.7.0)
Imports: bslib (>= 0.6.0), bsicons, cli (>= 3.6.0), ggplot2 (>= 3.3.0), haven (>= 2.5.0), htmltools, lpSolveAPI (>= 5.5.2), markdown, reactable (>= 0.4.0), readxl, rlang (>= 1.1.0), scales, writexl
Suggests: deaR, rmarkdown, knitr, testthat (>= 3.0.0), tibble, withr
Language: en-GB
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-10-22 20:00:20 UTC; ohj
Author: Ove Haugland Jakobsen [aut, cre], Aleksander Eilertsen Valberg [aut], Jan Roar Beckstroem [ctb], Lars Skaage Engebretsen [ctb], Jonas Mansson [ctb], Joachim Sandnes [ctb], National Audit Office of Norway [cph]
Maintainer: Ove Haugland Jakobsen <ohj@mac.com>
Repository: CRAN
Date/Publication: 2024-10-25 07:40:07 UTC

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Package pharmaversesdtm updated to version 1.1.0 with previous version 1.0.0 dated 2024-06-06

Title: SDTM Test Data for the 'Pharmaverse' Family of Packages
Description: A set of Study Data Tabulation Model (SDTM) datasets from the Clinical Data Interchange Standards Consortium (CDISC) pilot project used for testing and developing Analysis Data Model (ADaM) datasets inside the pharmaverse family of packages. SDTM dataset specifications are described in the CDISC SDTM implementation guide, accessible by creating a free account on <https://www.cdisc.org/>.
Author: Edoardo Mancini [aut, cre] , Gayatri G [aut], Kangjie Zhang [aut], Pooja Kumari [aut], Stefan Bundfuss [aut] , Zelos Zhu [aut], Sadchla Mascary [aut], Vladyslav Shuliar [aut]
Maintainer: Edoardo Mancini <edoardo.mancini@roche.com>

Diff between pharmaversesdtm versions 1.0.0 dated 2024-06-06 and 1.1.0 dated 2024-10-25

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New package ozbabynames with initial version 0.1.0
Package: ozbabynames
Title: Australian Popular Baby Names
Version: 0.1.0
Description: Data on the most popular baby names by sex and year, and for each state in Australia, as provided by the state and territory governments. The quality and quantity of the data varies with the state.
Depends: R (>= 4.1.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: ggplot2, dplyr, testthat (>= 3.0.0)
URL: https://github.com/robjhyndman/ozbabynames, https://pkg.robjhyndman.com/ozbabynames/
BugReports: https://github.com/robjhyndman/ozbabynames/issues
NeedsCompilation: no
Packaged: 2024-10-22 22:08:09 UTC; hyndman
Author: Rob Hyndman [aut, cre, cph] , Mitchell O'Hara-Wild [aut] , Jessie Roberts [aut], Nick Tierney [aut] , Anna Fergusson [ctb]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>
Repository: CRAN
Date/Publication: 2024-10-25 07:50:02 UTC

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New package graphicalEvidence with initial version 1.0
Package: graphicalEvidence
Title: Graphical Evidence
Version: 1.0
Date: 2024-10-07
Maintainer: David Rowe <david@rowe-stats.com>
Description: Computes marginal likelihood in Gaussian graphical models through a novel telescoping block decomposition of the precision matrix which allows estimation of model evidence. The top level function used to estimate marginal likelihood is called evidence, which expects the prior name, data, and relevant prior specific parameters. This package also provides an MCMC prior sampler using the same underlying approach, implemented in prior_sampling, which expects a prior name and prior specific parameters. Both functions also expect the number of burn-in iterations and the number of sampling iterations for the underlying MCMC sampler.
License: GPL-3
Imports: Rcpp, parallel, doParallel, foreach, mvtnorm
LinkingTo: Rcpp, RcppArmadillo
StagedInstall: true
NeedsCompilation: yes
Packaged: 2024-10-22 17:44:56 UTC; dprow
Author: David Rowe [aut, cre]
Repository: CRAN
Date/Publication: 2024-10-25 07:30:06 UTC

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New package fbglm with initial version 1.5.0
Package: fbglm
Title: Fractional Binomial Regression Model
Version: 1.5.0
Description: Fit a fractional binomial regression model and extended zero-inflated negative binomial regression model to count data with excess zeros using maximum likelihood estimation. Compare zero-inflated regression models via Vuong closeness test.
License: MIT + file LICENSE
Imports: bbmle, frbinom, pscl, agridat
Encoding: UTF-8
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2024-10-22 22:46:06 UTC; leeje
Author: Jeonghwa Lee [aut, cre, cph]
Maintainer: Jeonghwa Lee <leejb@uncw.edu>
Repository: CRAN
Date/Publication: 2024-10-25 08:00:02 UTC

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New package DiscreteGapStatistic with initial version 0.1.0
Package: DiscreteGapStatistic
Title: An Extension of the Gap Statistic for Ordinal/Categorical Data
Version: 0.1.0
Description: The gap statistic approach is extended to estimate the number of clusters for categorical response format data. This approach and accompanying software is designed to be used with the output of any clustering algorithm and with distances specifically designed for categorical (i.e. multiple choice) or ordinal survey response data.
URL: https://github.com/ecortesgomez/DiscreteGapStatistic
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: cultevo, magrittr, utils, ggplot2, pheatmap, dplyr, Polychrome, RColorBrewer, reshape2, tidyr, ComplexHeatmap
Suggests: cluster, knitr, rmarkdown, kableExtra, testthat
Depends: R (>= 4.2.0)
NeedsCompilation: no
Packaged: 2024-10-23 00:57:29 UTC; ED33454
Author: Jeffrey Miecznikowski [aut], Eduardo Cortes [aut, cre]
Maintainer: Eduardo Cortes <ecortesg@buffalo.edu>
Repository: CRAN
Date/Publication: 2024-10-25 08:00:06 UTC

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New package CTxCC with initial version 0.1.0
Package: CTxCC
Title: Multivariate Normal Mean Monitoring Through Critical-to-X Control Chart
Version: 0.1.0
Maintainer: Dr. Diana Barraza-Barraza <diana.barraza@ujed.mx>
Description: A comprehensive set of functions designed for multivariate mean monitoring using the Critical-to-X Control Chart. These functions enable the determination of optimal control limits based on a specified in-control Average Run Length (ARL), the calculation of out-of-control ARL for a given control limit, and post-signal analysis to identify the specific variable responsible for a detected shift in the mean. This suite of tools provides robust support for precise and effective process monitoring and analysis.
License: GPL (>= 2)
Encoding: UTF-8
Imports: combinat, matrixcalc, stats, mvtnorm, expm, CompQuadForm
NeedsCompilation: no
Packaged: 2024-10-22 21:57:17 UTC; dianabza
Author: Dr. Burcu Aytacoglu [aut] , Dr. Diana Barraza-Barraza [aut, cre] , Dr. Victor G. Tercero-Gomez [aut] , Dr. A. Eduardo Cordero-Franco [aut]
Repository: CRAN
Date/Publication: 2024-10-25 07:40:11 UTC

More information about CTxCC at CRAN
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Package trampoline (with last version 0.1.1) was removed from CRAN

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

2022-01-04 0.1.1
2021-12-10 0.1.0

Permanent link
Package rngSetSeed (with last version 0.3-3) was removed from CRAN

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

2023-09-19 0.3-3
2014-12-03 0.3-2
2014-12-01 0.3-1

Permanent link
Package stRoke updated to version 24.10.1 with previous version 23.9.1 dated 2023-09-07

Title: Clinical Stroke Research
Description: A collection of tools for clinical trial data management and analysis in research and teaching. The package is mainly collected for personal use, but any use beyond that is encouraged. This package has migrated functions from 'agdamsbo/daDoctoR', and new functions has been added. Version follows months and year. See NEWS/Changelog for release notes. This package includes sampled data from the TALOS trial (Kraglund et al (2018) <doi:10.1161/STROKEAHA.117.020067>). The win_prob() function is based on work by Zou et al (2022) <doi:10.1161/STROKEAHA.121.037744>. The age_calc() function is based on work by Becker (2020) <doi:10.18637/jss.v093.i02>.
Author: Andreas Gammelgaard Damsbo [aut, cre]
Maintainer: Andreas Gammelgaard Damsbo <agdamsbo@clin.au.dk>

Diff between stRoke versions 23.9.1 dated 2023-09-07 and 24.10.1 dated 2024-10-25

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Package ohenery updated to version 0.1.2 with previous version 0.1.1 dated 2019-10-15

Title: Modeling of Ordinal Random Variables via Softmax Regression
Description: Supports the modeling of ordinal random variables, like the outcomes of races, via Softmax regression, under the Harville <doi:10.1080/01621459.1973.10482425> and Henery <doi:10.1111/j.2517-6161.1981.tb01153.x> models.
Author: Steven E. Pav [aut, cre]
Maintainer: Steven E. Pav <shabbychef@gmail.com>

Diff between ohenery versions 0.1.1 dated 2019-10-15 and 0.1.2 dated 2024-10-25

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New package BoundaryStats with initial version 2.2.0
Package: BoundaryStats
Title: Boundary Overlap Statistics
Version: 2.2.0
Description: Analysis workflow for finding geographic boundaries of ecological or landscape traits and comparing the placement of geographic boundaries of two traits. If data are trait values, trait data are transformed to boundary intensities based on approximate first derivatives across latitude and longitude. The package includes functions to create custom null models based on the input data. The boundary statistics are described in: Fortin, Drapeau, and Jacquez (1996) <doi:10.2307/3545584>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: sf, terra, pdqr, methods, ggplot2, tibble, dplyr, magrittr, igraph, fields, scales
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-20 02:05:47 UTC; AmyLuo
Author: Amy Luo [aut, cre, cph] , Elizabeth Derryberry [ths]
Maintainer: Amy Luo <aluo@vols.utk.edu>
Repository: CRAN
Date/Publication: 2024-10-20 04:00:02 UTC

More information about BoundaryStats at CRAN
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Package rdss (with last version 1.0.12) was removed from CRAN

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

2024-10-10 1.0.12

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Package rsurv updated to version 0.0.2 with previous version 0.0.1 dated 2024-06-06

Title: Random Generation of Survival Data
Description: Random generation of survival data from a wide range of regression models, including accelerated failure time (AFT), proportional hazards (PH), proportional odds (PO), accelerated hazard (AH), Yang and Prentice (YP), and extended hazard (EH) models. The package 'rsurv' also stands out by its ability to generate survival data from an unlimited number of baseline distributions provided that an implementation of the quantile function of the chosen baseline distribution is available in R. Another nice feature of the package 'rsurv' lies in the fact that linear predictors are specified via a formula-based approach, facilitating the inclusion of categorical variables and interaction terms. The functions implemented in the package 'rsurv' can also be employed to simulate survival data with more complex structures, such as survival data with different types of censoring mechanisms, survival data with cure fraction, survival data with random effects (frailties), multivariate survival data, and [...truncated...]
Author: Fabio Demarqui [aut, cre, cph]
Maintainer: Fabio Demarqui <fndemarqui@est.ufmg.br>

Diff between rsurv versions 0.0.1 dated 2024-06-06 and 0.0.2 dated 2024-10-25

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Package PatientProfiles updated to version 1.2.1 with previous version 1.2.0 dated 2024-09-11

Title: Identify Characteristics of Patients in the OMOP Common Data Model
Description: Identify the characteristics of patients in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model.
Author: Marti Catala [aut, cre] , Yuchen Guo [aut] , Mike Du [aut] , Kim Lopez-Guell [aut] , Edward Burn [aut] , Nuria Mercade-Besora [aut] , Xintong Li [ctb] , Xihang Chen [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Thu, 24 Oct 2024

Package tstests updated to version 1.0.1 with previous version 1.0.0 dated 2024-05-15

Title: Time Series Goodness of Fit and Forecast Evaluation Tests
Description: Goodness of Fit and Forecast Evaluation Tests for timeseries models. Includes, among others, the Generalized Method of Moments (GMM) Orthogonality Test of Hansen (1982), the Nyblom (1989) parameter constancy test, the sign-bias test of Engle and Ng (1993), and a range of tests for value at risk and expected shortfall evaluation.
Author: Alexios Galanos [aut, cre, cph]
Maintainer: Alexios Galanos <alexios@4dscape.com>

Diff between tstests versions 1.0.0 dated 2024-05-15 and 1.0.1 dated 2024-10-24

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Package stats19 updated to version 3.2.0 with previous version 3.1.0 dated 2024-08-01

Title: Work with Open Road Traffic Casualty Data from Great Britain
Description: Tools to help download, process and analyse the UK road collision data collected using the 'STATS19' form. The datasets are provided as 'CSV' files with detailed road safety information about the circumstances of car crashes and other incidents on the roads resulting in casualties in Great Britain from 1979 to present. Tables are available on 'colissions' with the circumstances (e.g. speed limit of road), information about 'vehicles' involved (e.g. type of vehicle), and 'casualties' (e.g. age). The statistics relate only to events on public roads that were reported to the police, and subsequently recorded, using the 'STATS19' collision reporting form. See the Department for Transport website <https://www.data.gov.uk/dataset/cb7ae6f0-4be6-4935-9277-47e5ce24a11f/road-safety-data> for more information on these datasets. The package is described in a paper in the Journal of Open Source Software (Lovelace et al. 2019) <doi:10.21105/joss.01181>. See Gilardi et al. (2022) <doi [...truncated...]
Author: Robin Lovelace [aut, cre] , Malcolm Morgan [aut] , Layik Hama [aut] , Mark Padgham [aut] , David Ranzolin [rev], Adam Sparks [rev, ctb] , Ivo Wengraf [ctb], RAC Foundation [fnd]
Maintainer: Robin Lovelace <rob00x@gmail.com>

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New package icesDatsu with initial version 1.2.0
Package: icesDatsu
Version: 1.2.0
Title: Functions to Interact with the ICES Data Submission Utility (DATSU)
Description: Functions to Interact with the ICES Data Submission Utility (DATSU) <https://datsu.ices.dk/web/index.aspx>.
License: GPL (>= 2)
Suggests: knitr, rmarkdown
Imports: icesConnect (>= 1.0.0), httr, jsonlite
Encoding: UTF-8
URL: https://datsu.ices.dk/web/index.aspx, https://github.com/ices-tools-prod/icesDatsu
BugReports: https://github.com/ices-tools-prod/icesDatsu/issues
NeedsCompilation: no
Packaged: 2024-10-24 12:51:30 UTC; colin
Author: Colin Millar [aut, cre], Carlos Pinto [aut], Laura Andreea Petre [aut]
Maintainer: Colin Millar <colin.millar@ices.dk>
Repository: CRAN
Date/Publication: 2024-10-24 22:40:01 UTC

More information about icesDatsu at CRAN
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Package saens updated to version 0.1.1 with previous version 0.1.0 dated 2024-02-21

Title: Small Area Estimation with Cluster Information for Estimation of Non-Sampled Areas
Description: Implementation of small area estimation (Fay-Herriot model) with EBLUP (Empirical Best Linear Unbiased Prediction) Approach for non-sampled area estimation by adding cluster information and assuming that there are similarities among particular areas. See also Rao & Molina (2015, ISBN:978-1-118-73578-7) and Anisa et al. (2013) <doi:10.9790/5728-10121519>.
Author: Ridson Al Farizal P [aut, cre, cph] , Azka Ubaidillah [aut]
Maintainer: Ridson Al Farizal P <alfrzlp@gmail.com>

Diff between saens versions 0.1.0 dated 2024-02-21 and 0.1.1 dated 2024-10-24

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Package loadeR updated to version 1.3.0 with previous version 1.2.0 dated 2024-05-09

Title: Load Data for Analysis System
Description: Provides a framework to load text and excel files through a 'shiny' graphical interface. It allows renaming, transforming, ordering and removing variables. It includes basic exploratory methods such as the mean, median, mode, normality test, histogram and correlation.
Author: Oldemar Rodriguez [aut, cre], Diego Jimenez [aut], Joseline Quiros [aut]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>

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Package causaldata updated to version 0.1.4 with previous version 0.1.3 dated 2021-12-01

Title: Example Data Sets for Causal Inference Textbooks
Description: Example data sets to run the example problems from causal inference textbooks. Currently, contains data sets for Huntington-Klein, Nick (2021 and 2025) "The Effect" <https://theeffectbook.net>, first and second edition, Cunningham, Scott (2021 and 2025, ISBN-13: 978-0-300-25168-5) "Causal Inference: The Mixtape", and Hernán, Miguel and James Robins (2020) "Causal Inference: What If" <https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/>.
Author: Nick Huntington-Klein [aut, cre] , Malcolm Barrett [aut]
Maintainer: Nick Huntington-Klein <nhuntington-klein@seattleu.edu>

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Package adaptivetau updated to version 2.3-2 with previous version 2.3-1 dated 2024-04-17

Title: Tau-Leaping Stochastic Simulation
Description: Implements adaptive tau leaping to approximate the trajectory of a continuous-time stochastic process as described by Cao et al. (2007) The Journal of Chemical Physics <doi:10.1063/1.2745299> (aka. the Gillespie stochastic simulation algorithm). This package is based upon work supported by NSF DBI-0906041 and NIH K99-GM104158 to Philip Johnson and NIH R01-AI049334 to Rustom Antia.
Author: Philip Johnson [aut, cre]
Maintainer: Philip Johnson <plfj@umd.edu>

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Package tidysq updated to version 1.2.2 with previous version 1.2.1 dated 2024-10-06

Title: Tidy Processing and Analysis of Biological Sequences
Description: A tidy approach to analysis of biological sequences. All processing and data-storage functions are heavily optimized to allow the fastest and most efficient data storage.
Author: Dominik Rafacz [cre, aut] , Michal Burdukiewicz [aut] , Laura Bakala [aut], Leon Eyrich Jessen [ctb] , Stefan Roediger [ctb] , Jadwiga Slowik [ctb] , Weronika Puchala [ctb] , Katarzyna Sidorczuk [ctb], Filip Pietluch [ctb], Jaroslaw Chilimoniuk [ctb] [...truncated...]
Maintainer: Dominik Rafacz <dominikrafacz@gmail.com>

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Package mult.latent.reg updated to version 0.2.0 with previous version 0.1.9 dated 2024-09-06

Title: Regression and Clustering in Multivariate Response Scenarios
Description: Fitting multivariate response models with random effects on one or two levels; whereby the (one-dimensional) random effect represents a latent variable approximating the multivariate space of outcomes, after possible adjustment for covariates. The method is particularly useful for multivariate, highly correlated outcome variables with unobserved heterogeneities. Applications include regression with multivariate responses, as well as multivariate clustering or ranking problems. See Zhang and Einbeck (2024) <doi:10.1007/s42519-023-00357-0>.
Author: Yingjuan Zhang [aut, cre], Jochen Einbeck [aut, ctb]
Maintainer: Yingjuan Zhang <yingjuan.zhang@durham.ac.uk>

Diff between mult.latent.reg versions 0.1.9 dated 2024-09-06 and 0.2.0 dated 2024-10-24

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Package preferably (with last version 0.4.1) was removed from CRAN

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

2022-07-20 0.4.1
2021-12-02 0.4
2021-05-02 0.3.1
2021-04-22 0.3.0

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Package smerc updated to version 1.8.4 with previous version 1.8.3 dated 2023-10-10

Title: Statistical Methods for Regional Counts
Description: Implements statistical methods for analyzing the counts of areal data, with a focus on the detection of spatial clusters and clustering. The package has a heavy emphasis on spatial scan methods, which were first introduced by Kulldorff and Nagarwalla (1995) <doi:10.1002/sim.4780140809> and Kulldorff (1997) <doi:10.1080/03610929708831995>.
Author: Joshua French [aut, cre] , Mohammad Meysami [ctb]
Maintainer: Joshua French <joshua.french@ucdenver.edu>

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Package Rcmdr updated to version 2.9-5 with previous version 2.9-4 dated 2024-10-04

Title: R Commander
Description: A platform-independent basic-statistics GUI (graphical user interface) for R, based on the tcltk package.
Author: John Fox [aut, cre], Milan Bouchet-Valat [aut], Manuel Munoz Marquez [aut], Liviu Andronic [ctb], Michael Ash [ctb], Theophilius Boye [ctb], Stefano Calza [ctb], Andy Chang [ctb], Vilmantas Gegzna [ctb], Philippe Grosjean [ctb], Richard Heiberger [ct [...truncated...]
Maintainer: John Fox <jfox@mcmaster.ca>

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Package handwriter updated to version 3.2.1 with previous version 3.2.0 dated 2024-10-09

Title: Handwriting Analysis in R
Description: Perform statistical writership analysis of scanned handwritten documents. Webpage provided at: <https://github.com/CSAFE-ISU/handwriter>.
Author: Iowa State University of Science and Technology on behalf of its Center for Statistics and Applications in Forensic Evidence [aut, cph, fnd], Nick Berry [aut], Stephanie Reinders [aut, cre], James Taylor [aut], Felix Baez-Santiago [ctb], Jon Gonzalez [...truncated...]
Maintainer: Stephanie Reinders <srein@iastate.edu>

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Package glmnetr updated to version 0.5-4 with previous version 0.5-3 dated 2024-08-28

Title: Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models
Description: Cross validation informed Relaxed LASSO, Artificial Neural Network (ANN), gradient boosting machine ('xgboost'), Random Forest ('RandomForestSRC'), Oblique Random Forest ('aorsf'), Recursive Partitioning ('RPART') or step wise regression models are fit. Cross validation leave out samples (leading to nested cross validation) or bootstrap out-of-bag samples are used to evaluate and compare performances between these models with results presented in tabular or graphical means. Calibration plots can also be generated, again based upon (outer nested) cross validation or bootstrap leave out (out of bag) samples. For some datasets, for example when the design matrix is not of full rank, 'glmnet' may have very long run times when fitting the relaxed lasso model, from our experience when fitting Cox models on data with many predictors and many patients, making it difficult to get solutions from either glmnet() or cv.glmnet(). This may be remedied by using the 'path=TRUE' option when calling [...truncated...]
Author: Walter K Kremers [aut, cre] , Nicholas B Larson [ctb]
Maintainer: Walter K Kremers <kremers.walter@mayo.edu>

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Package misty updated to version 0.6.8 with previous version 0.6.7 dated 2024-09-18

Title: Miscellaneous Functions 'T. Yanagida'
Description: Miscellaneous functions for (1) data management (e.g., grand-mean and group-mean centering, coding variables and reverse coding items, scale and cluster scores, reading and writing Excel and SPSS files), (2) descriptive statistics (e.g., frequency table, cross tabulation, effect size measures), (3) missing data (e.g., descriptive statistics for missing data, missing data pattern, Little's test of Missing Completely at Random, and auxiliary variable analysis), (4) multilevel data (e.g., multilevel descriptive statistics, within-group and between-group correlation matrix, multilevel confirmatory factor analysis, level-specific fit indices, cross-level measurement equivalence evaluation, multilevel composite reliability, and multilevel R-squared measures), (5) item analysis (e.g., confirmatory factor analysis, coefficient alpha and omega, between-group and longitudinal measurement equivalence evaluation), (6) statistical analysis (e.g., confidence intervals, collinearity and residual diag [...truncated...]
Author: Takuya Yanagida [aut, cre]
Maintainer: Takuya Yanagida <takuya.yanagida@univie.ac.at>

Diff between misty versions 0.6.7 dated 2024-09-18 and 0.6.8 dated 2024-10-24

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Package memisc updated to version 0.99.31.8.1 with previous version 0.99.31.8 dated 2024-09-28

Title: Management of Survey Data and Presentation of Analysis Results
Description: An infrastructure for the management of survey data including value labels, definable missing values, recoding of variables, production of code books, and import of (subsets of) 'SPSS' and 'Stata' files is provided. Further, the package allows to produce tables and data frames of arbitrary descriptive statistics and (almost) publication-ready tables of regression model estimates, which can be exported to 'LaTeX' and HTML.
Author: Martin Elff [aut, cre], Christopher N. Lawrence [ctb], Dave Atkins [ctb], Jason W. Morgan [ctb], Achim Zeileis [ctb], Mael Astruc-Le Souder [ctb], Kiril Mueller [ctb], Pieter Schoonees [ctb]
Maintainer: Martin Elff <memisc@elff.eu>

Diff between memisc versions 0.99.31.8 dated 2024-09-28 and 0.99.31.8.1 dated 2024-10-24

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New package VisCov with initial version 1.4.0
Package: VisCov
Title: Visualizing of Distributions of Covariance Matrices
Version: 1.4.0
Maintainer: Kristof Meers <kristof.meers+cran@kuleuven.be>
Depends: R (>= 2.12.0)
Imports: bayesm, clusterGeneration, scatterplot3d, KernSmooth
Description: Visualizing of distributions of covariance matrices. The package implements the methodology described in Tokuda, T., Goodrich, B., Van Mechelen, I., Gelman, A., & Tuerlinckx, F. (2012) <https://stat.columbia.edu/~gelman/research/unpublished/Visualization.pdf>.
License: GPL (>= 3)
NeedsCompilation: no
Language: en-US
Packaged: 2024-10-22 15:13:41 UTC; u0046811
Author: Tomoki Tokuda [aut], Ben Goodrich [ctb], Iven Van Mechelen [ctb], Andrew Gelman [ctb], Francis Tuerlinckx [ctb], Kristof Meers [cre]
Repository: CRAN
Date/Publication: 2024-10-24 15:10:02 UTC

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Package Distance updated to version 2.0.0 with previous version 1.0.9 dated 2023-12-21

Title: Distance Sampling Detection Function and Abundance Estimation
Description: A simple way of fitting detection functions to distance sampling data for both line and point transects. Adjustment term selection, left and right truncation as well as monotonicity constraints and binning are supported. Abundance and density estimates can also be calculated (via a Horvitz-Thompson-like estimator) if survey area information is provided. See Miller et al. (2019) <doi:10.18637/jss.v089.i01> for more information on methods and <https://examples.distancesampling.org/> for example analyses.
Author: Laura Marshall [cre], David Miller [aut], T.J. Clark-Wolf [aut], Len Thomas [ctb], Jeff Laake [ctb], Eric Rexstad [rev]
Maintainer: Laura Marshall <lhm@st-andrews.ac.uk>

Diff between Distance versions 1.0.9 dated 2023-12-21 and 2.0.0 dated 2024-10-24

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New package AutoWMM with initial version 1.0.1
Package: AutoWMM
Title: Perform the Weighted Multiplier Method on Trees
Version: 1.0.1
Maintainer: Mallory J Flynn <mallory.flynn@stat.ubc.ca>
Description: When many possible multiplier method estimates of a target population are available, a weighted sum of estimates from each back-calculated path can be achieved with this package. Variance-minimizing weights are used and with any admissible tree-structured data. The methodological basis used to create this package can be found in Flynn (2023) <http://hdl.handle.net/2429/86174>.
License: GPL (>= 2)
URL: https://github.com/malfly/AutoWMM
Depends: R (>= 4.3.0)
Imports: data.tree, DiagrammeR, dplyr, gtools, MASS, rlang, magrittr, tidyselect
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-22 16:37:36 UTC; mallory
Author: Mallory J Flynn [cre, aut]
Repository: CRAN
Date/Publication: 2024-10-24 15:10:10 UTC

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New package ARTtransfer with initial version 1.0.0
Package: ARTtransfer
Title: Adaptive and Robust Pipeline for Transfer Learning
Version: 1.0.0
Date: 2024-10-16
Description: Adaptive and Robust Transfer Learning (ART) is a flexible framework for transfer learning that integrates information from auxiliary data sources to improve model performance on primary tasks. It is designed to be robust against negative transfer by including the non-transfer model in the candidate pool, ensuring stable performance even when auxiliary datasets are less informative. See the paper, Wang, Wu, and Ye (2023) <doi:10.1002/sta4.582>.
Imports: gbm, glmnet, nnet, randomForest, stats
Encoding: UTF-8
License: GPL-2
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
Repository: CRAN
NeedsCompilation: no
Packaged: 2024-10-22 16:01:01 UTC; boxiang
Author: Boxiang Wang [aut, cre], Yunan Wu [aut], Chenglong Ye [aut]
Maintainer: Boxiang Wang <boxiang-wang@uiowa.edu>
Date/Publication: 2024-10-24 15:10:14 UTC

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New package sugarglider with initial version 1.0.3
Package: sugarglider
Title: Create Glyph-Maps of Spatiotemporal Data
Version: 1.0.3
Description: Provides 'ggplot2' extensions to construct glyph-maps for visualizing seasonality in spatiotemporal data. See the Journal of Statistical Software reference: Zhang, H. S., Cook, D., Laa, U., Langrené, N., & Menéndez, P. (2024) <doi:10.18637/jss.v110.i07>. The manuscript for this package is currently under preparation and can be found on GitHub at <https://github.com/maliny12/paper-sugarglider>.
License: MIT + file LICENSE
URL: https://maliny12.github.io/sugarglider/, https://github.com/maliny12/sugarglider
Encoding: UTF-8
LazyData: true
Imports: dplyr, ggplot2
Depends: R (>= 3.0.0)
Suggests: testthat (>= 3.0.0), ggplotify, tidyr, grid, lubridate, knitr, rmarkdown, gridExtra, ozmaps, sf, tidyverse, viridis, ggthemes, vdiffr, kableExtra, ggiraph, jsonlite, httr, usmap, geosphere, purrr
VignetteBuilder: knitr
BugReports: https://github.com/maliny12/sugarglider/issues
NeedsCompilation: no
Packaged: 2024-10-22 01:05:21 UTC; malinypo
Author: Maliny Po [aut, cre, cph] , S. Nathan Yang [aut] , H. Sherry Zhang [ctb] , Dianne Cook [ctb]
Maintainer: Maliny Po <malinypo12@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-24 14:10:02 UTC

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New package MedDataSets with initial version 0.1.0
Package: MedDataSets
Title: Comprehensive Medical, Disease, Treatment, and Drug Datasets
Version: 0.1.0
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>
Description: Provides an extensive collection of datasets related to medicine, diseases, treatments, drugs, and public health. This package covers topics such as drug effectiveness, vaccine trials, survival rates, infectious disease outbreaks, and medical treatments. The included datasets span various health conditions, including AIDS, cancer, bacterial infections, and COVID-19, along with information on pharmaceuticals and vaccines. These datasets are sourced from the R ecosystem and other R packages, remaining unaltered to ensure data integrity. This package serves as a valuable resource for researchers, analysts, and healthcare professionals interested in conducting medical and public health data analysis in R.
License: GPL-3
URL: https://github.com/lightbluetitan/meddatasets
Encoding: UTF-8
LazyData: true
Suggests: ggplot2, dplyr, devtools, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-22 07:17:09 UTC; renzorossiv
Author: Renzo Caceres Rossi [aut, cre]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-10-24 14:20:02 UTC

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New package mall with initial version 0.1.0
Package: mall
Title: Run Multiple Large Language Model Predictions Against a Table, or Vectors
Version: 0.1.0
Description: Run multiple 'Large Language Model' predictions against a table. The predictions run row-wise over a specified column. It works using a one-shot prompt, along with the current row's content. The prompt that is used will depend of the type of analysis needed.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, dplyr, fs, glue, jsonlite, ollamar, rlang
Suggests: dbplyr, testthat (>= 3.0.0)
URL: https://mlverse.github.io/mall/
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-10-22 12:51:31 UTC; edgar
Author: Edgar Ruiz [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Edgar Ruiz <edgar@posit.co>
Repository: CRAN
Date/Publication: 2024-10-24 14:30:02 UTC

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New package Jcvrisk with initial version 0.1.0
Package: Jcvrisk
Title: Risk Calculator for Cardiovascular Disease in Japan
Version: 0.1.0
Maintainer: Hiroshi Okumiyama <xzxz2019@iCloud.com>
Description: A calculation tool to obtain the 10-year risk of cardiovascular disease from various risk models (Hisayama, Suita, EPOCH Japan).
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-10-22 08:07:35 UTC; student
Author: Hiroshi Okumiyama [aut, cre], Ryosuke Fujii [aut]
Repository: CRAN
Date/Publication: 2024-10-24 14:20:06 UTC

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New package ipd with initial version 0.1.2
Package: ipd
Title: Inference on Predicted Data
Version: 0.1.2
Maintainer: Stephen Salerno <ssalerno@fredhutch.org>
Description: Performs valid statistical inference on predicted data (IPD) using recent methods, where for a subset of the data, the outcomes have been predicted by an algorithm. Provides a wrapper function with specified defaults for the type of model and method to be used for estimation and inference. Further provides methods for tidying and summarizing results. Salerno et al., (2024) <doi:10.48550/arXiv.2410.09665>.
License: MIT + file LICENSE
URL: https://github.com/ipd-tools/ipd
BugReports: https://github.com/ipd-tools/ipd/issues
Depends: R (>= 3.5.0)
Imports: caret, gam, generics, ranger, splines, stats, MASS, randomForest
Suggests: knitr, patchwork, rmarkdown, spelling, testthat (>= 3.0.0), tidyverse
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2024-10-18 15:31:44 UTC; saler
Author: Stephen Salerno [aut, cre, cph] , Jiacheng Miao [aut], Awan Afiaz [aut], Kentaro Hoffman [aut], Anna Neufeld [aut], Qiongshi Lu [aut], Tyler H McCormick [aut], Jeffrey T Leek [aut]
Repository: CRAN
Date/Publication: 2024-10-24 14:40:02 UTC

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New package cascadess with initial version 0.2.0
Package: cascadess
Title: A Style Pronoun for 'htmltools' Tags
Version: 0.2.0
Description: Apply styles to tag elements directly and with the .style pronoun. Using the pronoun, styles are created within the context of a tag element. Change borders, backgrounds, text, margins, layouts, and more.
License: MIT + file LICENSE
URL: https://nteetor.github.io/cascadess/, https://github.com/nteetor/cascadess
BugReports: https://github.com/nteetor/cascadess/issues
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: htmltools (>= 0.4.0), magrittr (>= 1.5), rlang, utils
Suggests: cli, rmarkdown, shiny, testthat (>= 2.1.0)
NeedsCompilation: no
Packaged: 2024-10-22 01:38:08 UTC; nteetor
Author: Nathan Teetor [aut, cre, cph], The Bootstrap Authors [cph] , Twitter, Inc [cph]
Maintainer: Nathan Teetor <nate@haufin.ch>
Repository: CRAN
Date/Publication: 2024-10-24 14:10:07 UTC

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Package bsvars updated to version 3.2 with previous version 3.1 dated 2024-07-14

Title: Bayesian Estimation of Structural Vector Autoregressive Models
Description: Provides fast and efficient procedures for Bayesian analysis of Structural Vector Autoregressions. This package estimates a wide range of models, including homo-, heteroskedastic, and non-normal specifications. Structural models can be identified by adjustable exclusion restrictions, time-varying volatility, or non-normality. They all include a flexible three-level equation-specific local-global hierarchical prior distribution for the estimated level of shrinkage for autoregressive and structural parameters. Additionally, the package facilitates predictive and structural analyses such as impulse responses, forecast error variance and historical decompositions, forecasting, verification of heteroskedasticity, non-normality, and hypotheses on autoregressive parameters, as well as analyses of structural shocks, volatilities, and fitted values. Beautiful plots, informative summary functions, and extensive documentation including the vignette by Woźniak (2024) <doi:10.48550/arXiv.2410.15 [...truncated...]
Author: Tomasz Wozniak [aut, cre]
Maintainer: Tomasz Wozniak <wozniak.tom@pm.me>

Diff between bsvars versions 3.1 dated 2024-07-14 and 3.2 dated 2024-10-24

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Package ProjectManagement updated to version 2.0.2 with previous version 1.5.2 dated 2023-09-14

Title: Management of Deterministic and Stochastic Projects
Description: Management problems of deterministic and stochastic projects. It obtains the duration of a project and the appropriate slack for each activity in a deterministic context. In addition it obtains a schedule of activities' time (Castro, Gómez & Tejada (2007) <doi:10.1016/j.orl.2007.01.003>). It also allows the management of resources. When the project is done, and the actual duration for each activity is known, then it can know how long the project is delayed and make a fair delivery of the delay between each activity (Bergantiños, Valencia-Toledo & Vidal-Puga (2018) <doi:10.1016/j.dam.2017.08.012>). In a stochastic context it can estimate the average duration of the project and plot the density of this duration, as well as, the density of the early and last times of the chosen activities. As in the deterministic case, it can make a distribution of the delay generated by observing the project already carried out.
Author: Juan Carlos Goncalves Dosantos [aut, cre], Ignacio Garcia Jurado [aut], Julian Costa Bouzas [aut]
Maintainer: Juan Carlos Goncalves Dosantos <juan.carlos.goncalves@udc.es>

Diff between ProjectManagement versions 1.5.2 dated 2023-09-14 and 2.0.2 dated 2024-10-24

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Package DiscreteFDR updated to version 2.0.1 with previous version 2.0.0 dated 2024-07-08

Title: FDR Based Multiple Testing Procedures with Adaptation for Discrete Tests
Description: Implementations of the multiple testing procedures for discrete tests described in the paper Döhler, Durand and Roquain (2018) "New FDR bounds for discrete and heterogeneous tests" <doi:10.1214/18-EJS1441>. The main procedures of the paper (HSU and HSD), their adaptive counterparts (AHSU and AHSD), and the HBR variant are available and are coded to take as input the results of a test procedure from package 'DiscreteTests', or a set of observed p-values and their discrete support under their nulls. A shortcut function to obtain such p-values and supports is also provided, along with a wrapper allowing to apply discrete procedures directly to data.
Author: Sebastian Doehler [aut, ctb] , Florian Junge [aut, ctb, cre] , Guillermo Durand [aut, ctb], Etienne Roquain [ctb], Christina Kihn [ctb]
Maintainer: Florian Junge <diso.fbmn@h-da.de>

Diff between DiscreteFDR versions 2.0.0 dated 2024-07-08 and 2.0.1 dated 2024-10-24

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Package papaja updated to version 0.1.3 with previous version 0.1.2 dated 2023-09-29

Title: Prepare American Psychological Association Journal Articles with R Markdown
Description: Tools to create dynamic, submission-ready manuscripts, which conform to American Psychological Association manuscript guidelines. We provide R Markdown document formats for manuscripts (PDF and Word) and revision letters (PDF). Helper functions facilitate reporting statistical analyses or create publication-ready tables and plots.
Author: Frederik Aust [aut, cre] , Marius Barth [aut] , Birk Diedenhofen [ctb], Christoph Stahl [ctb], Joseph V. Casillas [ctb], Rudolf Siegel [ctb]
Maintainer: Frederik Aust <frederik.aust@uni-koeln.de>

Diff between papaja versions 0.1.2 dated 2023-09-29 and 0.1.3 dated 2024-10-24

 DESCRIPTION                                                            |   22 
 MD5                                                                    |  168 
 NAMESPACE                                                              |    3 
 R/add_custom_effect_sizes.R                                            |    5 
 R/apa6_formats.R                                                       |    8 
 R/apa_barplot.R                                                        |    4 
 R/apa_beeplot.R                                                        |    4 
 R/apa_factorial_plot.R                                                 |   88 
 R/apa_interval.R                                                       |   73 
 R/apa_lineplot.R                                                       |    7 
 R/apa_print_BFBayesFactor.R                                            |   16 
 R/apa_print_anova.R                                                    |   74 
 R/apa_print_emm_lsm.R                                                  |   24 
 R/apa_print_glm.R                                                      |    2 
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 R/arrange_anova.R                                                      |    7 
 R/calculations.R                                                       |   28 
 R/cite_r.R                                                             |   34 
 R/generate_author_yml.R                                                |    3 
 R/lookup_tables.R                                                      |   33 
 R/onload.R                                                             |   14 
 R/print_anova.R                                                        |    3 
 R/revision_letter_format.R                                             |    8 
 R/tidy_es.R                                                            |   12 
 R/utils.R                                                              |   25 
 R/utils_text.R                                                         |    6 
 README.md                                                              |   40 
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 man/add_effect_sizes.Rd                                                |    4 
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 man/apa_beeplot.Rd                                                     |   15 
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 man/apa_interval.Rd                                                    |   62 
 man/apa_lineplot.Rd                                                    |   17 
 man/apa_num.Rd                                                         |    5 
 man/apa_print.BFBayesFactor.Rd                                         |    6 
 man/apa_print.Rd                                                       |    2 
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 man/apa_print.emmGrid.Rd                                               |   19 
 man/apa_print.glht.Rd                                                  |    6 
 man/apa_print.glm.Rd                                                   |   17 
 man/apa_print.htest.Rd                                                 |   21 
 man/apa_print.list.Rd                                                  |    6 
 man/apa_print.lme.Rd                                                   |    4 
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 man/cite_r.Rd                                                          |    4 
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 man/glue_apa_results.Rd                                                |    4 
 man/init_apa_results.Rd                                                |    4 
 man/lookup_tables.Rd                                                   |    4 
 man/papaja.Rd                                                          |    2 
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 man/quote_from_tex.Rd                                                  |    2 
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Package StableEstim updated to version 2.3 with previous version 2.2 dated 2022-08-07

Title: Estimate the Four Parameters of Stable Laws using Different Methods
Description: Estimate the four parameters of stable laws using maximum likelihood method, generalised method of moments with finite and continuum number of points, iterative Koutrouvelis regression and Kogon-McCulloch method. The asymptotic properties of the estimators (covariance matrix, confidence intervals) are also provided.
Author: Tarak Kharrat [aut], Georgi N. Boshnakov [aut, cre]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

Diff between StableEstim versions 2.2 dated 2022-08-07 and 2.3 dated 2024-10-24

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More information about StableEstim at CRAN
Permanent link

New package spotifyr with initial version 2.2.5
Package: spotifyr
Title: R Wrapper for the 'Spotify' Web API
Version: 2.2.5
Date: 2024-10-22
Description: An R wrapper for pulling data from the 'Spotify' Web API <https://developer.spotify.com/documentation/web-api/> in bulk, or post items on a 'Spotify' user's playlist.
Maintainer: Daniel Antal <daniel.antal@dataobservatory.eu>
Depends: R (>= 3.3.0)
Imports: dplyr, purrr, httr, lubridate, jsonlite, readr, rvest, stringr, tibble, janitor, rlang, magrittr, assertthat, xml2
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: ggridges, spelling, testthat (>= 3.0.0)
URL: https://github.com/charlie86/spotifyr
BugReports: https://github.com/charlie86/spotifyr/issues
Language: en-US
NeedsCompilation: no
Packaged: 2024-10-23 13:29:16 UTC; antal
Author: Charlie Thompson [aut], Daniel Antal [aut, cre] , Josiah Parry [aut] , Donal Phipps [aut], Tom Wolff [aut], Stephen Holsenbeck [ctb], Peter Harrison [ctb]
Repository: CRAN
Date/Publication: 2024-10-24 10:30:04 UTC

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Package SpaCCI updated to version 1.0.2 with previous version 1.0 dated 2024-09-30

Title: Spatially Aware Cell-Cell Interaction Analysis
Description: Provides tools for analyzing spatial cell-cell interactions based on ligand-receptor pairs, including functions for local, regional, and global analysis using spatial transcriptomics data. Integrates with databases like 'CellChat' <http://www.cellchat.org/>, 'CellPhoneDB' <https://www.cellphonedb.org/>, 'Cellinker' <https://www.rna-society.org/cellinker/>, 'ICELLNET' <https://github.com/soumelis-lab/ICELLNET>, and 'ConnectomeDB' <https://humanconnectome.org/software/connectomedb/> to identify ligand-receptor pairs, visualize interactions through heatmaps, chord diagrams, and infer interactions on different spatial scales.
Author: Li-Ting Ku [aut, cre]
Maintainer: Li-Ting Ku <lku@mdanderson.org>

Diff between SpaCCI versions 1.0 dated 2024-09-30 and 1.0.2 dated 2024-10-24

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Package monolix2rx updated to version 0.0.3 with previous version 0.0.1 dated 2024-09-20

Title: Converts 'Monolix' Models to 'rxode2'
Description: 'Monolix' is a tool for running mixed effects model using 'saem'. This tool allows you to convert 'Monolix' models to 'rxode2' (Wang, Hallow and James (2016) <doi:10.1002/psp4.12052>) using the form compatible with 'nlmixr2' (Fidler et al (2019) <doi:10.1002/psp4.12445>). If available, the 'rxode2' model will read in the 'Monolix' data and compare the simulation for the population model individual model and residual model to immediately show how well the translation is performing. This saves the model development time for people who are creating an 'rxode2' model manually. Additionally, this package reads in all the information to allow simulation with uncertainty (that is the number of observations, the number of subjects, and the covariance matrix) with a 'rxode2' model. This is complementary to the 'babelmixr2' package that translates 'nlmixr2' models to 'Monolix' and can convert the objects converted from 'monolix2rx' to a full 'nlmixr2' fit. While not required, you c [...truncated...]
Author: Matthew Fidler [aut, cre] , Justin Wilkins [ctb]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between monolix2rx versions 0.0.1 dated 2024-09-20 and 0.0.3 dated 2024-10-24

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New package icesSD with initial version 2.1.0
Package: icesSD
Version: 2.1.0
Title: Stock Database Web Services
Imports: icesConnect (>= 1.0.0), httr
Suggests: testthat
Description: R interface to access the web services of the ICES Stock Database <https://sd.ices.dk>.
License: GPL (>= 2)
URL: https://sd.ices.dk, https://github.com/ices-tools-prod/icesSD
BugReports: https://github.com/ices-tools-prod/icesSD/issues
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2024-10-24 08:11:54 UTC; colin
Author: Colin Millar [aut, cre], Scott Large [aut], Arni Magnusson [aut]
Maintainer: Colin Millar <colin.millar@ices.dk>
Repository: CRAN
Date/Publication: 2024-10-24 10:30:24 UTC

More information about icesSD at CRAN
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Package Goodreader updated to version 0.1.2 with previous version 0.1.1 dated 2024-08-30

Title: Scrape and Analyze 'Goodreads' Book Data
Description: A comprehensive toolkit for scraping and analyzing book data from <https://www.goodreads.com/>. This package provides functions to search for books, scrape book details and reviews, perform sentiment analysis on reviews, and conduct topic modeling. It's designed for researchers, data analysts, and book enthusiasts who want to gain insights from 'Goodreads' data.
Author: Chao Liu [aut, cre, cph]
Maintainer: Chao Liu <chaoliu@cedarville.edu>

Diff between Goodreader versions 0.1.1 dated 2024-08-30 and 0.1.2 dated 2024-10-24

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Package distrDoc updated to version 2.8.4 with previous version 2.8.2 dated 2024-02-01

Title: Documentation for 'distr' Family of R Packages
Description: Provides documentation in form of a common vignette to packages 'distr', 'distrEx', 'distrMod', 'distrSim', 'distrTEst', 'distrTeach', and 'distrEllipse'.
Author: Florian Camphausen [ctb] , Matthias Kohl [aut, cph], Peter Ruckdeschel [cre, cph], Thomas Stabla [ctb]
Maintainer: Peter Ruckdeschel <peter.ruckdeschel@uni-oldenburg.de>

Diff between distrDoc versions 2.8.2 dated 2024-02-01 and 2.8.4 dated 2024-10-24

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Package admix updated to version 2.3.1 with previous version 2.1-3 dated 2024-04-25

Title: Package Admix for Admixture (aka Contamination) Models
Description: Implements techniques to estimate the unknown quantities related to two-component admixture models, where the two components can belong to any distribution (note that in the case of multinomial mixtures, the two components must belong to the same family). Estimation methods depend on the assumptions made on the unknown component density; see Bordes and Vandekerkhove (2010) <doi:10.3103/S1066530710010023>, Patra and Sen (2016) <doi:10.1111/rssb.12148>, and Milhaud, Pommeret, Salhi, Vandekerkhove (2024) <doi:10.3150/23-BEJ1593>. In practice, one can estimate both the mixture weight and the unknown component density in a wide variety of frameworks. On top of that, hypothesis tests can be performed in one and two-sample contexts to test the unknown component density (see Milhaud, Pommeret, Salhi and Vandekerkhove (2022) <doi:10.1016/j.jspi.2021.05.010>, and Milhaud, Pommeret, Salhi, Vandekerkhove (2024) <doi:10.3150/23-BEJ1593>). Finally, clustering of unknown [...truncated...]
Author: Xavier Milhaud [aut, cre], Pierre Vandekerkhove [ctb], Denys Pommeret [ctb], Yahia Salhi [ctb]
Maintainer: Xavier Milhaud <xavier.milhaud.research@gmail.com>

Diff between admix versions 2.1-3 dated 2024-04-25 and 2.3.1 dated 2024-10-24

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Package EDCimport updated to version 0.5.0 with previous version 0.4.1 dated 2023-12-19

Title: Import Data from EDC Software
Description: A convenient toolbox to import data exported from Electronic Data Capture (EDC) software 'TrialMaster'.
Author: Dan Chaltiel [aut, cre]
Maintainer: Dan Chaltiel <dan.chaltiel@gmail.com>

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Package microinverterdata updated to version 0.2.0 with previous version 0.1.0 dated 2024-10-02

Title: Collect your Microinverter Data
Description: Collect and normalize local microinverter energy and power production data through off-cloud API requests. Currently supports 'APSystems', 'Enphase', and 'Fronius' microinverters.
Author: Christophe Regouby [aut, cre, cph]
Maintainer: Christophe Regouby <christophe.regouby@free.fr>

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Package icesSAG updated to version 1.5.0 with previous version 1.4.1 dated 2023-05-11

Title: Stock Assessment Graphs Database Web Services
Description: R interface to access the web services of the ICES Stock Assessment Graphs database <https://sg.ices.dk>.
Author: Colin Millar [aut, cre], Scott Large [aut], Arni Magnusson [aut], Carlos Pinto [aut], Laura Andreea Petre [aut]
Maintainer: Colin Millar <colin.millar@ices.dk>

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Package spqdep (with last version 0.1.3.3) was removed from CRAN

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

2024-10-21 0.1.3.3

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Package rgeoda (with last version 0.0.10-4) was removed from CRAN

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

2023-07-01 0.0.10-4
2023-01-30 0.0.10-2
2022-04-11 0.0.9
2021-09-08 0.0.8-6
2021-08-05 0.0.8-4
2021-07-22 0.0.8-3
2021-07-19 0.0.8-2
2021-03-04 0.0.8-1
2021-02-26 0.0.8

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Package BoundaryStats (with last version 2.2.0) was removed from CRAN

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

2024-10-19 2.2.0
2023-10-21 2.1.1
2023-06-28 2.0.1

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Package teal.logger updated to version 0.3.0 with previous version 0.2.0 dated 2024-03-24

Title: Logging Setup for the 'teal' Family of Packages
Description: Utilizing the 'logger' framework to record events within a package, specific to 'teal' family of packages. Supports logging namespaces, hierarchical logging, various log destinations, vectorization, and more.
Author: Dawid Kaledkowski [aut, cre], Konrad Pagacz [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Dawid Kaledkowski <dawid.kaledkowski@roche.com>

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Package Sequential updated to version 4.3.4 with previous version 4.3.3 dated 2024-02-20

Title: Exact Sequential Analysis for Poisson and Binomial Data
Description: Functions to calculate exact critical values, statistical power, expected time to signal, and required sample sizes for performing exact sequential analysis. All these calculations can be done for either Poisson or binomial data, for continuous or group sequential analyses, and for different types of rejection boundaries. In case of group sequential analyses, the group sizes do not have to be specified in advance and the alpha spending can be arbitrarily settled.
Author: Ivair Ramos Silva [aut, cre], Martin Kulldorff [aut]
Maintainer: Ivair Ramos Silva <ivair@ufop.edu.br>

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Package ggtangle updated to version 0.0.3 with previous version 0.0.2 dated 2024-09-18

Title: Draw Network with Data
Description: Extends the 'ggplot2' plotting system to support network visualization. Inspired by 'ggtree', 'ggtangle' is designed to work with network associated data.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Wed, 23 Oct 2024

Package ggfun updated to version 0.1.7 with previous version 0.1.6 dated 2024-08-28

Title: Miscellaneous Functions for 'ggplot2'
Description: Useful functions and utilities for 'ggplot' object (e.g., geometric layers, themes, and utilities to edit the object).
Author: Guangchuang Yu [aut, cre, cph] , Shuangbin Xu [aut]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package despair updated to version 0.1.1 with previous version 0.1.0 dated 2024-08-22

Title: Motivational Quotes and Shakespearean Bard–bits for Personal Projects
Description: Generate motivational quotes and Shakespearean word combinations (bard–bits) that a user can consider for their personal projects. Each of the package functions takes two arguments, cat which default to any, and a a numeric or character seed to ensure reproducible results.
Author: JP Monteagudo [aut, cre, cph]
Maintainer: JP Monteagudo <jpmonteagudo2014@gmail.com>

Diff between despair versions 0.1.0 dated 2024-08-22 and 0.1.1 dated 2024-10-23

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Package plmmr updated to version 4.1.0 with previous version 4.0.0 dated 2024-10-11

Title: Penalized Linear Mixed Models for Correlated Data
Description: Fits penalized linear mixed models that correct for unobserved confounding factors. 'plmmr' infers and corrects for the presence of unobserved confounding effects such as population stratification and environmental heterogeneity. It then fits a linear model via penalized maximum likelihood. Originally designed for the multivariate analysis of single nucleotide polymorphisms (SNPs) measured in a genome-wide association study (GWAS), 'plmmr' eliminates the need for subpopulation-specific analyses and post-analysis p-value adjustments. Functions for the appropriate processing of 'PLINK' files are also supplied. For examples, see the package homepage. <https://pbreheny.github.io/plmmr/>.
Author: Tabitha K. Peter [aut] , Anna C. Reisetter [aut] , Patrick J. Breheny [aut, cre] , Yujing Lu [aut]
Maintainer: Patrick J. Breheny <patrick-breheny@uiowa.edu>

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Package MLE updated to version 1.2 with previous version 1.1 dated 2024-09-10

Title: Maximum Likelihood Estimation of Various Univariate and Multivariate Distributions
Description: Several functions for maximum likelihood estimation of various univariate and multivariate distributions. The list includes more than 100 functions for univariate continuous and discrete distributions, distributions that lie on the real line, the positive line, interval restricted, circular distributions. Further, multivariate continuous and discrete distributions, distributions for compositional and directional data, etc. Some references include Johnson N. L., Kotz S. and Balakrishnan N. (1994). "Continuous Univariate Distributions, Volume 1" <ISBN:978-0-471-58495-7>, Johnson, Norman L. Kemp, Adrianne W. Kotz, Samuel (2005). "Univariate Discrete Distributions". <ISBN:978-0-471-71580-1> and Mardia, K. V. and Jupp, P. E. (2000). "Directional Statistics". <ISBN:978-0-471-95333-3>.
Author: Michail Tsagris [aut, cre], Sofia Piperaki [aut], Muhammad Imran [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package distrMod updated to version 2.9.6 with previous version 2.9.4 dated 2024-09-03

Title: Object Oriented Implementation of Probability Models
Description: Implements S4 classes for probability models based on packages 'distr' and 'distrEx'.
Author: Matthias Kohl [aut, cph], Peter Ruckdeschel [cre, cph], R Core Team [ctb, cph]
Maintainer: Peter Ruckdeschel <peter.ruckdeschel@uni-oldenburg.de>

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Package BTSPAS updated to version 2024.11.1 with previous version 2024.5.9 dated 2024-05-10

Title: Bayesian Time-Stratified Population Analysis
Description: Provides advanced Bayesian methods to estimate abundance and run-timing from temporally-stratified Petersen mark-recapture experiments. Methods include hierarchical modelling of the capture probabilities and spline smoothing of the daily run size. Theory described in Bonner and Schwarz (2011) <doi:10.1111/j.1541-0420.2011.01599.x>.
Author: Carl J Schwarz [aut, cre], Simon J Bonner [aut]
Maintainer: Carl J Schwarz <cschwarz.stat.sfu.ca@gmail.com>

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Package REDCapTidieR updated to version 1.2.0 with previous version 1.1.1 dated 2024-04-16

Title: Extract 'REDCap' Databases into Tidy 'Tibble's
Description: Convert 'REDCap' exports into tidy tables for easy handling of 'REDCap' repeat instruments and event arms.
Author: Richard Hanna [aut, cre] , Stephan Kadauke [aut] , Ezra Porter [aut]
Maintainer: Richard Hanna <richardshanna91@gmail.com>

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Package MPSEM updated to version 0.5-1 with previous version 0.4-4 dated 2024-09-04

Title: Modelling Phylogenetic Signals using Eigenvector Maps
Description: Computational tools to represent phylogenetic signals using adapted eigenvector maps.
Author: Guillaume Guenard [aut, cre] , Pierre Legendre [ctb]
Maintainer: Guillaume Guenard <guillaume.guenard@umontreal.ca>

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Package bigergm updated to version 1.2.3 with previous version 1.2.2 dated 2024-10-03

Title: Fit, Simulate, and Diagnose Hierarchical Exponential-Family Models for Big Networks
Description: A toolbox for analyzing and simulating large networks based on hierarchical exponential-family random graph models (HERGMs).'bigergm' implements the estimation for large networks efficiently building on the 'lighthergm' and 'hergm' packages. Moreover, the package contains tools for simulating networks with local dependence to assess the goodness-of-fit.
Author: Cornelius Fritz [aut, cre], Michael Schweinberger [aut], Shota Komatsu [aut], Juan Nelson Martinez Dahbura [aut], Takanori Nishida [aut], Angelo Mele [aut]
Maintainer: Cornelius Fritz <corneliusfritz2010@gmail.com>

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Package humanleague updated to version 2.3.2 with previous version 2.3.1 dated 2024-02-24

Title: Synthetic Population Generator
Description: Generates high-entropy integer synthetic populations from marginal and (optionally) seed data using quasirandom sampling, in arbitrary dimensionality (Smith, Lovelace and Birkin (2017) <doi:10.18564/jasss.3550>). The package also provides an implementation of the Iterative Proportional Fitting (IPF) algorithm (Zaloznik (2011) <doi:10.13140/2.1.2480.9923>).
Author: Andrew Smith [aut, cre], Steven Johnson [ctb] , Massachusetts Institute of Technology [cph] , John Burkhardt [ctb, cph] , G Bhattacharjee [ctb]
Maintainer: Andrew Smith <andrew@friarswood.net>

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Package rminer updated to version 1.4.7 with previous version 1.4.6 dated 2020-08-28

Title: Data Mining Classification and Regression Methods
Description: Facilitates the use of data mining algorithms in classification and regression (including time series forecasting) tasks by presenting a short and coherent set of functions. Versions: 1.4.7 improved Importance function and examples, minor error fixes; 1.4.6 / 1.4.5 / 1.4.4 new automated machine learning (AutoML) and ensembles, via improved fit(), mining() and mparheuristic() functions, and new categorical preprocessing, via improved delevels() function; 1.4.3 new metrics (e.g., macro precision, explained variance), new "lssvm" model and improved mparheuristic() function; 1.4.2 new "NMAE" metric, "xgboost" and "cv.glmnet" models (16 classification and 18 regression models); 1.4.1 new tutorial and more robust version; 1.4 - new classification and regression models, with a total of 14 classification and 15 regression methods, including: Decision Trees, Neural Networks, Support Vector Machines, Random Forests, Bagging and Boosting; 1.3 and 1.3.1 - new classification and regression metrics; [...truncated...]
Author: Paulo Cortez [aut, cre]
Maintainer: Paulo Cortez <pcortez@dsi.uminho.pt>

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Package mrds updated to version 3.0.0 with previous version 2.3.0 dated 2023-12-18

Title: Mark-Recapture Distance Sampling
Description: Animal abundance estimation via conventional, multiple covariate and mark-recapture distance sampling (CDS/MCDS/MRDS). Detection function fitting is performed via maximum likelihood. Also included are diagnostics and plotting for fitted detection functions. Abundance estimation is via a Horvitz-Thompson-like estimator.
Author: Laura Marshall [cre], Jeff Laake [aut], David Miller [aut], Felix Petersma [aut], Len Thomas [ctb], David Borchers [ctb], Jon Bishop [ctb], Jonah McArthur [ctb], Eric Rexstad [rev]
Maintainer: Laura Marshall <lhm@st-andrews.ac.uk>

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Package kml3d updated to version 2.5.0 with previous version 2.4.6.1 dated 2023-12-13

Title: K-Means for Joint Longitudinal Data
Description: An implementation of k-means specifically design to cluster joint trajectories (longitudinal data on several variable-trajectories). Like 'kml', it provides facilities to deal with missing value, compute several quality criterion (Calinski and Harabatz, Ray and Turie, Davies and Bouldin, BIC,...) and propose a graphical interface for choosing the 'best' number of clusters. In addition, the 3D graph representing the mean joint-trajectories of each cluster can be exported through LaTeX in a 3D dynamic rotating PDF graph.
Author: Christophe Genolini [cre, aut], Bruno Falissard [ctb], Patrice Kiener [ctb], Jean-Baptiste Pingault [ctb]
Maintainer: Christophe Genolini <christophe.genolini@free.fr>

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Package kml updated to version 2.5.0 with previous version 2.4.6.1 dated 2023-12-13

Title: K-Means for Longitudinal Data
Description: An implementation of k-means specifically design to cluster longitudinal data. It provides facilities to deal with missing value, compute several quality criterion (Calinski and Harabatz, Ray and Turie, Davies and Bouldin, BIC, ...) and propose a graphical interface for choosing the 'best' number of clusters.
Author: Christophe Genolini [cre, aut], Bruno Falissard [ctb], Patrice Kiener [ctb]
Maintainer: Christophe Genolini <christophe.genolini@free.fr>

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Package BeeGUTS updated to version 1.3.0 with previous version 1.1.3 dated 2023-09-18

Title: General Unified Threshold Model of Survival for Bees using Bayesian Inference
Description: Tools to calibrate, validate, and make predictions with the General Unified Threshold model of Survival adapted for Bee species. The model is presented in the publication from Baas, J., Goussen, B., Miles, M., Preuss, T.G., Roessing, I. (2022) <doi:10.1002/etc.5423> and Baas, J., Goussen, B., Taenzler, V., Roeben, V., Miles, M., Preuss, T.G., van den Berg, S., Roessink, I. (2024) <doi:10.1002/etc.5871>, and is based on the GUTS framework Jager, T., Albert, C., Preuss, T.G. and Ashauer, R. (2011) <doi:10.1021/es103092a>. The authors are grateful to Bayer A.G. for its financial support.
Author: Benoit Goussen [aut, cre] , Liubov Zakharova [ctb], Romoli Carlo [ctb], Bayer AG [cph], ibacon GmbH [cph]
Maintainer: Benoit Goussen <benoit.goussen@ibacon.com>

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Package rscorecard updated to version 0.30.0 with previous version 0.29.0 dated 2024-08-30

Title: A Method to Download Department of Education College Scorecard Data
Description: A method to download Department of Education College Scorecard data using the public API <https://collegescorecard.ed.gov/data/data-documentation/>. It is based on the 'dplyr' model of piped commands to select and filter data in a single chained function call. An API key from the U.S. Department of Education is required.
Author: Benjamin Skinner [aut, cre]
Maintainer: Benjamin Skinner <bskinner@neh.gov>

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Package Rlabkey updated to version 3.4.0 with previous version 3.3.0 dated 2024-08-19

Title: Data Exchange Between R and 'LabKey' Server
Description: The 'LabKey' client library for R makes it easy for R users to load live data from a 'LabKey' Server, <https://www.labkey.com/>, into the R environment for analysis, provided users have permissions to read the data. It also enables R users to insert, update, and delete records stored on a 'LabKey' Server, provided they have appropriate permissions to do so.
Author: Peter Hussey [aut], Cory Nathe [cre]
Maintainer: Cory Nathe <cnathe@labkey.com>

Diff between Rlabkey versions 3.3.0 dated 2024-08-19 and 3.4.0 dated 2024-10-23

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Package PFIM updated to version 6.1 with previous version 6.0.3 dated 2024-03-23

Title: Population Fisher Information Matrix
Description: Evaluate or optimize designs for nonlinear mixed effects models using the Fisher Information matrix. Methods used in the package refer to Mentré F, Mallet A, Baccar D (1997) <doi:10.1093/biomet/84.2.429>, Retout S, Comets E, Samson A, Mentré F (2007) <doi:10.1002/sim.2910>, Bazzoli C, Retout S, Mentré F (2009) <doi:10.1002/sim.3573>, Le Nagard H, Chao L, Tenaillon O (2011) <doi:10.1186/1471-2148-11-326>, Combes FP, Retout S, Frey N, Mentré F (2013) <doi:10.1007/s11095-013-1079-3> and Seurat J, Tang Y, Mentré F, Nguyen TT (2021) <doi:10.1016/j.cmpb.2021.106126>.
Author: France Mentre [aut], Romain Leroux [aut, cre], Jeremy Seurat [aut], Lucie Fayette [aut]
Maintainer: Romain Leroux <romain.leroux@inserm.fr>

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 PFIM-6.1/PFIM/NAMESPACE                                                              |   62 
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 PFIM-6.1/PFIM/R/Fim.R                                                                |   33 
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 PFIM-6.1/PFIM/R/LogNormal.R                                                          |    6 
 PFIM-6.1/PFIM/R/Model.R                                                              |  141 +
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 PFIM-6.1/PFIM/R/ModelBolus.R                                                         |   14 
 PFIM-6.1/PFIM/R/ModelError.R                                                         |   11 
 PFIM-6.1/PFIM/R/ModelInfusion.R                                                      |   14 
 PFIM-6.1/PFIM/R/ModelODE.R                                                           |   17 
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 PFIM-6.1/PFIM/R/ModelParameter.R                                                     |    9 
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 PFIM-6.1/PFIM/R/Normal.R                                                             |    6 
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 PFIM-6.1/PFIM/R/PFIM-package.R                                                       |   16 
 PFIM-6.1/PFIM/R/PFIMProject.R                                                        |    9 
 PFIM-6.1/PFIM/R/PGBOAlgorithm.R                                                      |   37 
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 PFIM-6.1/PFIM/R/Proportional.R                                                       |   11 
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 PFIM-6.1/PFIM/R/SamplingTimes.R                                                      |    9 
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 PFIM-6.1/PFIM/man/fisher.simplex.Rd                                                  |   42 
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 PFIM-6.1/PFIM/man/getLibraryPKModels.Rd                                              |   40 
 PFIM-6.1/PFIM/man/getMinSampling.Rd                                                  |   40 
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 PFIM-6.1/PFIM/man/getMu.Rd                                                           |   48 
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 PFIM-6.1/PFIM/man/getPKModel.Rd                                                      |   44 
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 PFIM-6.1/PFIM/man/getParameters.Rd                                                   |   54 
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 PFIM-6.1/PFIM/man/plotRSE.Rd                                                         |   44 
 PFIM-6.1/PFIM/man/plotSE.Rd                                                          |   44 
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 PFIM-6.1/PFIM/man/plotShrinkage.Rd                                                   |   44 
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 PFIM-6.1/PFIM/man/setFim.Rd                                                          |   44 
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 PFIM-6.1/PFIM/man/setFisherMatrix.Rd                                                 |   44 
 PFIM-6.1/PFIM/man/setFixedEffects.Rd                                                 |   40 
 PFIM-6.1/PFIM/man/setFixedMu.Rd                                                      |   44 
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 PFIM-6.1/PFIM/man/setModel.Rd                                                        |   44 
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 PFIM-6.1/PFIM/man/setMu.Rd                                                           |   52 
 PFIM-6.1/PFIM/man/setName.Rd                                                         |   58 
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 PFIM-6.1/PFIM/man/setOmega.Rd                                                        |   52 
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 PFIM-6.1/PFIM/man/setOutcome.Rd                                                      |   52 
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 PFIM-6.1/PFIM/man/setParameters.Rd                                                   |   84 
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 PFIM-6.1/PFIM/man/setSamplingTime.Rd                                                 |   44 
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 PFIM-6.1/PFIM/man/setSamplings.Rd                                                    |   44 
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 PFIM-6.1/PFIM/tests/testthat/test_PKModels-PFIM.R                                    |   25 
 PFIM-6.1/PFIM/vignettes/Example01.Rmd                                                |    8 
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More information about PFIM at CRAN
Permanent link

Package RandomWalker updated to version 0.2.0 with previous version 0.1.0 dated 2024-09-15

Title: Generate Random Walks Compatible with the 'tidyverse'
Description: Generates random walks of various types by providing a set of functions that are compatible with the 'tidyverse'. The functions provided in the package make it simple to create random walks with a variety of properties, such as how many simulations to run, how many steps to take, and the distribution of random walk itself.
Author: Steven Sanderson [aut, cre, cph] , Antti Rask [aut, cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>

Diff between RandomWalker versions 0.1.0 dated 2024-09-15 and 0.2.0 dated 2024-10-23

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Permanent link

Package metalite.ae updated to version 0.1.3 with previous version 0.1.2 dated 2024-04-16

Title: Adverse Events Analysis Using 'metalite'
Description: Analyzes adverse events in clinical trials using the 'metalite' data structure. The package simplifies the workflow to create production-ready tables, listings, and figures discussed in the adverse events analysis chapters of "R for Clinical Study Reports and Submission" by Zhang et al. (2022) <https://r4csr.org/>.
Author: Yilong Zhang [aut], Yujie Zhao [aut, cre], Benjamin Wang [aut], Nan Xiao [aut], Sarad Nepal [aut], Madhusudhan Ginnaram [aut], Venkatesh Burla [ctb], Ruchitbhai Patel [aut], Brian Lang [aut], Xuan Deng [aut], Hiroaki Fukuda [aut], Bing Liu [aut], Jee [...truncated...]
Maintainer: Yujie Zhao <yujie.zhao@merck.com>

Diff between metalite.ae versions 0.1.2 dated 2024-04-16 and 0.1.3 dated 2024-10-23

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Package allcontributors updated to version 0.2.2 with previous version 0.2.0 dated 2024-05-16

Title: Acknowledge all Contributors to a Project
Description: Acknowledge all contributors to a project via a single function call. The function appends to a 'README' or other specified file(s) a table with names of all individuals who contributed via code or repository issues. The package also includes several additional functions to extract and quantify contributions to any repository.
Author: Mark Padgham [aut, cre], Chris Hartgerink [aut], Maelle Salmon [ctb]
Maintainer: Mark Padgham <mark.padgham@email.com>

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Package rStrava updated to version 1.3.2 with previous version 1.3.1 dated 2024-03-26

Title: Access the 'Strava' API
Description: Functions to access data from the 'Strava v3 API' <https://developers.strava.com/>.
Author: Marcus W. Beck [cre], Pedro Villarroel [aut], Daniel Padfield [aut], Lorenzo Gaborini [aut], Niklas von Maltzahn [aut]
Maintainer: Marcus W. Beck <mbafs2012@gmail.com>

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Package clusterMI updated to version 1.2.2 with previous version 1.2.1 dated 2024-07-07

Title: Cluster Analysis with Missing Values by Multiple Imputation
Description: Allows clustering of incomplete observations by addressing missing values using multiple imputation. For achieving this goal, the methodology consists in three steps, following Audigier and Niang 2022 <doi:10.1007/s11634-022-00519-1>. I) Missing data imputation using dedicated models. Four multiple imputation methods are proposed, two are based on joint modelling and two are fully sequential methods, as discussed in Audigier et al. (2021) <doi:10.48550/arXiv.2106.04424>. II) cluster analysis of imputed data sets. Six clustering methods are available (distances-based or model-based), but custom methods can also be easily used. III) Partition pooling. The set of partitions is aggregated using Non-negative Matrix Factorization based method. An associated instability measure is computed by bootstrap (see Fang, Y. and Wang, J., 2012 <doi:10.1016/j.csda.2011.09.003>). Among applications, this instability measure can be used to choose a number of clusters with missing value [...truncated...]
Author: Vincent Audigier [aut, cre] , Hang Joon Kim [ctb]
Maintainer: Vincent Audigier <vincent.audigier@cnam.fr>

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Package openCR updated to version 2.2.7 with previous version 2.2.6 dated 2023-11-27

Title: Open Population Capture-Recapture
Description: Non-spatial and spatial open-population capture-recapture analysis.
Author: Murray Efford [aut, cre]
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

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Package pakret updated to version 0.2.2 with previous version 0.2.1 dated 2024-10-10

Title: Cite 'R' Packages on the Fly in 'R Markdown' and 'Quarto'
Description: References and cites 'R' and 'R' packages on the fly in 'R Markdown' and 'Quarto'. 'pakret' provides a minimalistic API that generates preformatted citations of 'R' and 'R' packages, and adds their reference to a '.bib' file directly from within your document.
Author: Arnaud Gallou [aut, cre, cph]
Maintainer: Arnaud Gallou <arangacas@gmail.com>

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Package jskm updated to version 0.5.6 with previous version 0.5.5 dated 2024-07-08

Title: Kaplan-Meier Plot with 'ggplot2'
Description: The function 'jskm()' creates publication quality Kaplan-Meier plot with at risk tables below. 'svyjskm()' provides plot for weighted Kaplan-Meier estimator.
Author: Jinseob Kim [aut, cre] , yoonkyoung Chun [aut], Zarathu [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package DynForest updated to version 1.2.0 with previous version 1.1.3 dated 2024-03-22

Title: Random Forest with Multivariate Longitudinal Predictors
Description: Based on random forest principle, 'DynForest' is able to include multiple longitudinal predictors to provide individual predictions. Longitudinal predictors are modeled through the random forest. The methodology is fully described for a survival outcome in: Devaux, Helmer, Genuer & Proust-Lima (2023) <doi: 10.1177/09622802231206477>.
Author: Anthony Devaux [aut, cre] , Robin Genuer [aut] , Cecile Proust-Lima [aut] , Louis Capitaine [aut]
Maintainer: Anthony Devaux <anthony.devauxbarault@gmail.com>

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More information about DynForest at CRAN
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Package REDCapR updated to version 1.3.0 with previous version 1.2.0 dated 2024-09-09

Title: Interaction Between R and REDCap
Description: Encapsulates functions to streamline calls from R to the REDCap API. REDCap (Research Electronic Data CAPture) is a web application for building and managing online surveys and databases developed at Vanderbilt University. The Application Programming Interface (API) offers an avenue to access and modify data programmatically, improving the capacity for literate and reproducible programming.
Author: Will Beasley [aut, cre] , David Bard [ctb] , Thomas Wilson [ctb], John J Aponte [ctb], Rollie Parrish [ctb] , Benjamin Nutter [ctb], Andrew Peters [ctb] , Hao Zhu [ctb] , Janosch Linkersdoerfer [ctb] , Jonathan Mang [ctb] , Felix Torres [ctb], Philip [...truncated...]
Maintainer: Will Beasley <wibeasley@hotmail.com>

Diff between REDCapR versions 1.2.0 dated 2024-09-09 and 1.3.0 dated 2024-10-23

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 REDCapR-1.3.0/REDCapR/DESCRIPTION                                                                           |    9 
 REDCapR-1.3.0/REDCapR/LICENSE                                                                               |    4 
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 REDCapR-1.3.0/REDCapR/NAMESPACE                                                                             |  108 
 REDCapR-1.3.0/REDCapR/NEWS.md                                                                               |   12 
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 REDCapR-1.3.0/REDCapR/R/kernel-api.R                                                                        |  238 
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 REDCapR-1.3.0/REDCapR/R/project-simple.R                                                                    |  332 
 REDCapR-1.3.0/REDCapR/R/redcap-arm-export.R                                                                 |  372 
 REDCapR-1.3.0/REDCapR/R/redcap-column-sanitize.R                                                            |  128 
 REDCapR-1.3.0/REDCapR/R/redcap-dag-read.R                                                                   |  334 
 REDCapR-1.3.0/REDCapR/R/redcap-delete.R                                                                     |  432 
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 REDCapR-1.3.0/REDCapR/R/redcap-project.R                                                                    |  266 
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 REDCapR-1.3.0/REDCapR/R/redcap-read-oneshot-eav.R                                                           |  818 -
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 REDCapR-1.3.0/REDCapR/R/skippers.R                                                                          |   14 
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 REDCapR-1.3.0/REDCapR/README.md                                                                             |  190 
 REDCapR-1.3.0/REDCapR/build/vignette.rds                                                                    |binary
 REDCapR-1.3.0/REDCapR/inst/WORDLIST                                                                         |  316 
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 REDCapR-1.3.0/REDCapR/inst/doc/SecurityDatabase.html                                                        | 1440 +-
 REDCapR-1.3.0/REDCapR/inst/doc/TroubleshootingApiCalls.R                                                    |   38 
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 REDCapR-1.3.0/REDCapR/inst/doc/longitudinal-and-repeating.R                                                 |  252 
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 REDCapR-1.3.0/REDCapR/inst/doc/workflow-read.R                                                              |  210 
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 REDCapR-1.3.0/REDCapR/inst/doc/workflow-write.R                                                             |   34 
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Package Rquefts updated to version 1.2-4 with previous version 1.2-3 dated 2023-10-24

Title: Quantitative Evaluation of the Native Fertility of Tropical Soils
Description: An implementation of the QUEFTS (Quantitative Evaluation of the Native Fertility of Tropical Soils) model. The model (1) estimates native nutrient (N, P, K) supply of soils from a few soil chemical properties; and (2) computes crop yield given that supply, crop parameters, fertilizer application, and crop attainable yield. See Janssen et al. (1990) <doi:10.1016/0016-7061(90)90021-Z> for the technical details and Sattari et al. (2014) <doi:10.1016/j.fcr.2013.12.005> for a recent evaluation and improvements.
Author: Robert J. Hijmans [cre, aut], Pieter Pypers [ctb, aut], Joost Wolff [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

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Package bellreg updated to version 0.0.2.2 with previous version 0.0.2.1 dated 2024-06-17

Title: Count Regression Models Based on the Bell Distribution
Description: Bell regression models for count data with overdispersion. The implemented models account for ordinary and zero-inflated regression models under both frequentist and Bayesian approaches. Theoretical details regarding the models implemented in the package can be found in Castellares et al. (2018) <doi:10.1016/j.apm.2017.12.014> and Lemonte et al. (2020) <doi:10.1080/02664763.2019.1636940>.
Author: Fabio Demarqui [aut, cre, cph] , Marcos Prates [ctb] , Fredy Caceres [ctb], Andrew Johnson [ctb]
Maintainer: Fabio Demarqui <fndemarqui@est.ufmg.br>

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Package MNormTest updated to version 1.1.1 with previous version 1.1.0 dated 2024-10-22

Title: Multivariate Normal Hypothesis Testing
Description: Hypothesis testing of the parameters of multivariate normal distributions, including the testing of a single mean vector, two mean vectors, multiple mean vectors, a single covariance matrix, multiple covariance matrices, a mean and a covariance matrix simultaneously, and the testing of independence of multivariate normal random vectors. Huixuan, Gao (2005, ISBN:9787301078587), "Applied Multivariate Statistical Analysis".
Author: Xifeng Zhang [aut, cre]
Maintainer: Xifeng Zhang <cnxifeng9819@163.com>

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Package nnls updated to version 1.6 with previous version 1.5 dated 2023-09-11

Title: The Lawson-Hanson Algorithm for Non-Negative Least Squares (NNLS)
Description: An R interface to the Lawson-Hanson implementation of an algorithm for non-negative least squares (NNLS). Also allows the combination of non-negative and non-positive constraints.
Author: Katharine M. Mullen [aut], Ivo H. M. van Stokkum [aut], Katharine Mullen [cre]
Maintainer: Katharine Mullen <mullenkate@gmail.com>

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Package mixexp updated to version 1.2.7.1 with previous version 1.2.7 dated 2022-05-27

Title: Design and Analysis of Mixture Experiments
Description: Functions for creating designs for mixture experiments, making ternary contour plots, and making mixture effect plots.
Author: John Lawson [aut, cre], Cameron Willden [aut], Greg Piepel [ctb]
Maintainer: John Lawson <lawson@byu.edu>

Diff between mixexp versions 1.2.7 dated 2022-05-27 and 1.2.7.1 dated 2024-10-23

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Package sphereTessellation (with last version 1.2.0) was removed from CRAN

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

2024-01-08 1.2.0

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Package spNetwork (with last version 0.4.4.3) was removed from CRAN

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

2024-06-21 0.4.4.3

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Package elrm (with last version 1.2.5) was removed from CRAN

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

2021-10-26 1.2.5

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Package Vdgraph (with last version 2.2-7) was removed from CRAN

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

2023-09-08 2.2-7
2023-06-02 2.2-6

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Package raybevel (with last version 0.1.3) was removed from CRAN

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

2024-05-14 0.1.3

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Package MLCOPULA updated to version 1.0.1 with previous version 1.0.0 dated 2024-06-06

Title: Classification Models with Copula Functions
Description: Provides several classifiers based on probabilistic models. These classifiers allow to model the dependence structure of continuous features through bivariate copula functions and graphical models, see Salinas-Gutiérrez et al. (2014) <doi:10.1007/s00180-013-0457-y>.
Author: Rogelio Salinas Gutierrez [aut, cre, cph] , Angelica Hernandez Quintero [aut, cph] , Pedro Abraham Montoya Calzada [aut, cph] , Carlos Alberto Lopez Hernandez [aut, cph] , Juan Manuel Marquez Romero [aut, cph]
Maintainer: Rogelio Salinas Gutierrez <rsalinas@correo.uaa.mx>

Diff between MLCOPULA versions 1.0.0 dated 2024-06-06 and 1.0.1 dated 2024-10-23

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Package mappeR updated to version 1.2.0 with previous version 1.1.0 dated 2024-10-16

Title: Construct and Visualize TDA Mapper Graphs
Description: Topological data analysis (TDA) is a method of data analysis that uses techniques from topology to analyze high-dimensional data. Here we implement Mapper, an algorithm from this area developed by Singh, Mémoli and Carlsson (2007) which generalizes the concept of a Reeb graph <https://en.wikipedia.org/wiki/Reeb_graph>.
Author: George Clare Kennedy [aut, cre]
Maintainer: George Clare Kennedy <george-clarekennedy@uiowa.edu>

Diff between mappeR versions 1.1.0 dated 2024-10-16 and 1.2.0 dated 2024-10-23

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More information about mappeR at CRAN
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Package radiant.data updated to version 1.6.7 with previous version 1.6.6 dated 2024-05-14

Title: Data Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Data menu includes interfaces for loading, saving, viewing, visualizing, summarizing, transforming, and combining data. It also contains functionality to generate reproducible reports of the analyses conducted in the application.
Author: Vincent Nijs [aut, cre], Niklas von Hertzen [aut]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

Diff between radiant.data versions 1.6.6 dated 2024-05-14 and 1.6.7 dated 2024-10-23

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Package nhppp updated to version 1.0.0 with previous version 0.1.4 dated 2024-05-28

Title: Simulating Nonhomogeneous Poisson Point Processes
Description: Simulates events from one dimensional nonhomogeneous Poisson point processes (NHPPPs) as per Trikalinos and Sereda (2024, <doi:10.48550/arXiv.2402.00358>). Functions are based on three algorithms that provably sample from a target NHPPP: the time-transformation of a homogeneous Poisson process (of intensity one) via the inverse of the integrated intensity function (Cinlar E, "Theory of stochastic processes" (1975, ISBN:0486497996)); the generation of a Poisson number of order statistics from a fixed density function; and the thinning of a majorizing NHPPP via an acceptance-rejection scheme (Lewis PAW, Shedler, GS (1979) <doi:10.1002/nav.3800260304>).
Author: Thomas Trikalinos [aut, cre, cph] , Yuliia Sereda [aut]
Maintainer: Thomas Trikalinos <thomas_trikalinos@brown.edu>

Diff between nhppp versions 0.1.4 dated 2024-05-28 and 1.0.0 dated 2024-10-23

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Tue, 22 Oct 2024

Package shapley updated to version 0.4 with previous version 0.3 dated 2024-05-30

Title: Weighted Mean SHAP for Feature Selection in ML Grid and Ensemble
Description: This R package introduces Weighted Mean SHapley Additive exPlanations (WMSHAP), an innovative method for calculating SHAP values for a grid of fine-tuned base-learner machine learning models as well as stacked ensembles, a method not previously available due to the common reliance on single best-performing models. By integrating the weighted mean SHAP values from individual base-learners comprising the ensemble or individual base-learners in a tuning grid search, the package weights SHAP contributions according to each model's performance, assessed by multiple either R squared (for both regression and classification models). alternatively, this software also offers weighting SHAP values based on the area under the precision-recall curve (AUCPR), the area under the curve (AUC), and F2 measures for binary classifiers. It further extends this framework to implement weighted confidence intervals for weighted mean SHAP values, offering a more comprehensive and robust feature importance eval [...truncated...]
Author: E. F. Haghish [aut, cre, cph]
Maintainer: E. F. Haghish <haghish@hotmail.com>

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Package pointblank updated to version 0.12.2 with previous version 0.12.1 dated 2024-03-25

Title: Data Validation and Organization of Metadata for Local and Remote Tables
Description: Validate data in data frames, 'tibble' objects, 'Spark' 'DataFrames', and database tables. Validation pipelines can be made using easily-readable, consecutive validation steps. Upon execution of the validation plan, several reporting options are available. User-defined thresholds for failure rates allow for the determination of appropriate reporting actions. Many other workflows are available including an information management workflow, where the aim is to record, collect, and generate useful information on data tables.
Author: Richard Iannone [aut, cre] , Mauricio Vargas [aut] , June Choe [aut]
Maintainer: Richard Iannone <rich@posit.co>

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Package nlmixr2est updated to version 3.0.1 with previous version 3.0.0 dated 2024-09-18

Title: Nonlinear Mixed Effects Models in Population PK/PD, Estimation Routines
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Author: Matthew Fidler [aut, cre] , Yuan Xiong [aut], Rik Schoemaker [aut] , Justin Wilkins [aut] , Wenping Wang [aut], Robert Leary [ctb], Mason McComb [ctb] , Vipul Mann [aut], Mirjam Trame [ctb], Mahmoud Abdelwahab [ctb], Teun Post [ctb], Richard Hooijmai [...truncated...]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package rstudioapi updated to version 0.17.1 with previous version 0.17.0 dated 2024-10-16

Title: Safely Access the RStudio API
Description: Access the RStudio API (if available) and provide informative error messages when it's not.
Author: Kevin Ushey [aut, cre], JJ Allaire [aut], Hadley Wickham [aut], Gary Ritchie [aut], RStudio [cph]
Maintainer: Kevin Ushey <kevin@rstudio.com>

Diff between rstudioapi versions 0.17.0 dated 2024-10-16 and 0.17.1 dated 2024-10-22

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Package SCDA updated to version 0.0.2 with previous version 0.0.1 dated 2024-10-14

Title: Spatially-Clustered Data Analysis
Description: Contains functions for statistical data analysis based on spatially-clustered techniques. The package allows estimating the spatially-clustered spatial regression models presented in Cerqueti, Maranzano \& Mattera (2024), "Spatially-clustered spatial autoregressive models with application to agricultural market concentration in Europe", arXiv preprint 2407.15874 <doi:10.48550/arXiv.2407.15874>. Specifically, the current release allows the estimation of the spatially-clustered linear regression model (SCLM), the spatially-clustered spatial autoregressive model (SCSAR), the spatially-clustered spatial Durbin model (SCSEM), and the spatially-clustered linear regression model with spatially-lagged exogenous covariates (SCSLX). From release 0.0.2, the library contains functions to estimate spatial clustering based on Adiajacent Matrix K-Means (AMKM) as described in Zhou, Liu \& Zhu (2019), "Weighted adjacent matrix for K-means clustering", Multimedia Tools and Applications, 78 [...truncated...]
Author: Paolo Maranzano [aut, cre, cph] , Raffaele Mattera [aut, cph] , Camilla Lionetti [aut, cph], Francesco Caccia [aut, cph]
Maintainer: Paolo Maranzano <pmaranzano.ricercastatistica@gmail.com>

Diff between SCDA versions 0.0.1 dated 2024-10-14 and 0.0.2 dated 2024-10-22

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Package rmdfiltr updated to version 0.1.5 with previous version 0.1.4 dated 2024-10-16

Title: 'Lua'-Filters for R Markdown
Description: A collection of 'Lua' filters that extend the functionality of R Markdown templates (e.g., count words or post-process citations).
Author: Frederik Aust [aut, cre] , Marius Barth [ctb]
Maintainer: Frederik Aust <frederik.aust@uni-koeln.de>

Diff between rmdfiltr versions 0.1.4 dated 2024-10-16 and 0.1.5 dated 2024-10-22

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Package multpois updated to version 0.2.0 with previous version 0.1.0 dated 2024-10-16

Title: Analyze Nominal Response Data with the Multinomial-Poisson Trick
Description: Dichotomous responses having two categories can be analyzed with stats::glm() or lme4::glmer() using the family=binomial option. Unfortunately, polytomous responses with three or more unordered categories cannot be analyzed similarly because there is no analogous family=multinomial option. For between-subjects data, nnet::multinom() can address this need, but it cannot handle random factors and therefore cannot handle repeated measures. To address this gap, we transform nominal response data into counts for each categorical alternative. These counts are then analyzed using (mixed) Poisson regression as per Baker (1994) <doi:10.2307/2348134>. Omnibus analyses of variance can be run along with post hoc pairwise comparisons. For users wishing to analyze nominal responses from surveys or experiments, the functions in this package essentially act as though stats::glm() or lme4::glmer() had a family=multinomial option.
Author: Jacob O. Wobbrock [aut, cre, cph]
Maintainer: Jacob O. Wobbrock <wobbrock@uw.edu>

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Package MPN updated to version 0.4.0 with previous version 0.3.0 dated 2019-03-20

Title: Most Probable Number and Other Microbial Enumeration Techniques
Description: Calculates the Most Probable Number (MPN) to quantify the concentration (density) of microbes in serial dilutions of a laboratory sample (described in Jarvis, 2010 <doi:10.1111/j.1365-2672.2010.04792.x>). Also calculates the Aerobic Plate Count (APC) for similar microbial enumeration experiments.
Author: Martine Ferguson [aut] , John Ihrie [cre, aut]
Maintainer: John Ihrie <John.Ihrie@fda.hhs.gov>

Diff between MPN versions 0.3.0 dated 2019-03-20 and 0.4.0 dated 2024-10-22

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Package dparser updated to version 1.3.1-13 with previous version 1.3.1-12 dated 2024-09-17

Title: Port of 'Dparser' Package
Description: A Scannerless GLR parser/parser generator. Note that GLR standing for "generalized LR", where L stands for "left-to-right" and R stands for "rightmost (derivation)". For more information see <https://en.wikipedia.org/wiki/GLR_parser>. This parser is based on the Tomita (1987) algorithm. (Paper can be found at <https://aclanthology.org/P84-1073.pdf>). The original 'dparser' package documentation can be found at <https://dparser.sourceforge.net/>. This allows you to add mini-languages to R (like rxode2's ODE mini-language Wang, Hallow, and James 2015 <DOI:10.1002/psp4.12052>) or to parse other languages like 'NONMEM' to automatically translate them to R code. To use this in your code, add a LinkingTo dparser in your DESCRIPTION file and instead of using #include <dparse.h> use #include <dparser.h>. This also provides a R-based port of the make_dparser <https://dparser.sourceforge.net/d/make_dparser.cat> command called mkdparser(). Addition [...truncated...]
Author: Matthew Fidler [aut, cre], John Plevyak [aut, cph]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between dparser versions 1.3.1-12 dated 2024-09-17 and 1.3.1-13 dated 2024-10-22

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Package modeltime updated to version 1.3.1 with previous version 1.3.0 dated 2024-07-29

Title: The Tidymodels Extension for Time Series Modeling
Description: The time series forecasting framework for use with the 'tidymodels' ecosystem. Models include ARIMA, Exponential Smoothing, and additional time series models from the 'forecast' and 'prophet' packages. Refer to "Forecasting Principles & Practice, Second edition" (<https://otexts.com/fpp2/>). Refer to "Prophet: forecasting at scale" (<https://research.facebook.com/blog/2017/02/prophet-forecasting-at-scale/>.).
Author: Matt Dancho [aut, cre], Business Science [cph]
Maintainer: Matt Dancho <mdancho@business-science.io>

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Package Mercator updated to version 1.1.5 with previous version 1.1.4 dated 2024-04-28

Title: Clustering and Visualizing Distance Matrices
Description: Defines the classes used to explore, cluster and visualize distance matrices, especially those arising from binary data. See Abrams and colleagues, 2021, <doi:10.1093/bioinformatics/btab037>.
Author: Kevin R. Coombes [aut, cre], Caitlin E. Coombes [aut]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package tsbox updated to version 0.4.2 with previous version 0.4.1 dated 2023-05-08

Title: Class-Agnostic Time Series
Description: Time series toolkit with identical behavior for all time series classes: 'ts','xts', 'data.frame', 'data.table', 'tibble', 'zoo', 'timeSeries', 'tsibble', 'tis' or 'irts'. Also converts reliably between these classes.
Author: Christoph Sax [aut, cre] , Cathy Chamberlin [rev], Nunes Matt [rev]
Maintainer: Christoph Sax <christoph.sax@gmail.com>

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Package spikeSlabGAM updated to version 1.1-20 with previous version 1.1-19 dated 2022-06-10

Title: Bayesian Variable Selection and Model Choice for Generalized Additive Mixed Models
Description: Bayesian variable selection, model choice, and regularized estimation for (spatial) generalized additive mixed regression models via stochastic search variable selection with spike-and-slab priors.
Author: Fabian Scheipl [aut, cre], Bettina Gruen [ctb]
Maintainer: Fabian Scheipl <fabian.scheipl@stat.uni-muenchen.de>

Diff between spikeSlabGAM versions 1.1-19 dated 2022-06-10 and 1.1-20 dated 2024-10-22

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Package sharpshootR updated to version 2.3.2 with previous version 2.3.1 dated 2024-05-29

Title: A Soil Survey Toolkit
Description: Miscellaneous soil data management, summary, visualization, and conversion utilities to support soil survey.
Author: Dylan Beaudette [cre, aut], Jay Skovlin [aut], Stephen Roecker [aut], Andrew Brown [aut], USDA-NRCS Soil Survey Staff [ctb]
Maintainer: Dylan Beaudette <dylan.beaudette@usda.gov>

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Package dowser updated to version 2.3 with previous version 2.2.0 dated 2024-05-09

Title: B Cell Receptor Phylogenetics Toolkit
Description: Provides a set of functions for inferring, visualizing, and analyzing B cell phylogenetic trees. Provides methods to 1) reconstruct unmutated ancestral sequences, 2) build B cell phylogenetic trees using multiple methods, 3) visualize trees with metadata at the tips, 4) reconstruct intermediate sequences, 5) detect biased ancestor-descendant relationships among metadata types Workflow examples available at documentation site (see URL). Citations: Hoehn et al (2022) <doi:10.1371/journal.pcbi.1009885>, Hoehn et al (2021) <doi:10.1101/2021.01.06.425648>.
Author: Kenneth Hoehn [aut, cre], Cole Jensen [ctb], Susanna Marquez [ctb], Jason Vander Heiden [ctb], Steven Kleinstein [aut, cph]
Maintainer: Kenneth Hoehn <kenneth.b.hoehn@dartmouth.edu>

Diff between dowser versions 2.2.0 dated 2024-05-09 and 2.3 dated 2024-10-22

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Package mapsf updated to version 0.12.0 with previous version 0.11.0 dated 2024-07-29

Title: Thematic Cartography
Description: Create and integrate thematic maps in your workflow. This package helps to design various cartographic representations such as proportional symbols, choropleth or typology maps. It also offers several functions to display layout elements that improve the graphic presentation of maps (e.g. scale bar, north arrow, title, labels). 'mapsf' maps 'sf' objects on 'base' graphics.
Author: Timothee Giraud [cre, aut] , Hugues Pecout [ctb] , Ronan Ysebaert [ctb] , Ian Fellows [cph] , Jim Lemon [cph]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>

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Package AllelicSeries updated to version 0.1.0.2 with previous version 0.0.4.1 dated 2023-10-06

Title: Allelic Series Test
Description: Implementation of gene-level rare variant association tests targeting allelic series: genes where increasingly deleterious mutations have increasingly large phenotypic effects. The COding-variant Allelic Series Test (COAST) operates on the benign missense variants (BMVs), deleterious missense variants (DMVs), and protein truncating variants (PTVs) within a gene. COAST uses a set of adjustable weights that tailor the test towards rejecting the null hypothesis for genes where the average magnitude of effect increases monotonically from BMVs to DMVs to PTVs. See McCaw ZR, O’Dushlaine C, Somineni H, Bereket M, Klein C, Karaletsos T, Casale FP, Koller D, Soare TW. (2023) "An allelic series rare variant association test for candidate gene discovery" <doi:10.1016/j.ajhg.2023.07.001>.
Author: Zachary McCaw [aut, cre] , Christoph Klein [ctb] , Jianhui Gao [ctb] , insitro [cph]
Maintainer: Zachary McCaw <zmccaw@insitro.com>

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Package acro updated to version 0.1.3 with previous version 0.1.2 dated 2024-08-19

Title: A Tool for Automating the Statistical Disclosure Control of Research Outputs
Description: Assists researchers and output checkers by distinguishing between research output that is safe to publish, output that requires further analysis, and output that cannot be published because of substantial disclosure risk. A paper about the tool was presented at the UNECE Expert Meeting on Statistical Data Confidentiality 2023; see <https://uwe-repository.worktribe.com/output/11060964>.
Author: Jim Smith [cre, ctb] , Maha Albashir [aut, ctb], Richard John Preen [aut, ctb]
Maintainer: Jim Smith <James.Smith@uwe.ac.uk>

Diff between acro versions 0.1.2 dated 2024-08-19 and 0.1.3 dated 2024-10-22

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Package flightsbr updated to version 1.0.0 with previous version 0.5.0 dated 2024-09-18

Title: Download Flight and Airport Data from Brazil
Description: Download flight and airport data from Brazil’s Civil Aviation Agency (ANAC) <https://www.gov.br/anac/pt-br>. The data covers detailed information on aircraft, airports, and airport operations registered with ANAC. It also includes data on airfares, all international flights to and from Brazil, and domestic flights within the country.
Author: Rafael H. M. Pereira [aut, cre] , Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

Diff between flightsbr versions 0.5.0 dated 2024-09-18 and 1.0.0 dated 2024-10-22

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Package lfl updated to version 2.2.1 with previous version 2.2.0 dated 2022-09-08

Title: Linguistic Fuzzy Logic
Description: Various algorithms related to linguistic fuzzy logic: mining for linguistic fuzzy association rules, composition of fuzzy relations, performing perception-based logical deduction (PbLD), and forecasting time-series using fuzzy rule-based ensemble (FRBE). The package also contains basic fuzzy-related algebraic functions capable of handling missing values in different styles (Bochvar, Sobocinski, Kleene etc.), computation of Sugeno integrals and fuzzy transform.
Author: Michal Burda [aut, cre]
Maintainer: Michal Burda <michal.burda@osu.cz>

Diff between lfl versions 2.2.0 dated 2022-09-08 and 2.2.1 dated 2024-10-22

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New package SUMO with initial version 0.1.0
Package: SUMO
Title: Generating Multi-Omics Datasets
Version: 0.1.0
Description: Designed to generate multi-omics datasets that closely reflect biological complexity, the package allows for testing, validation, and benchmarking of multi-omics integrative methods. The simulated data includes one or multiple predefined signals (latent/unobserved factors), giving users complete control over the data-generated characteristics. Tini, Giulia, et al (2019) <doi:10.1093/bib/bbx167>.
License: CC BY 4.0
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: ggplot2, gridExtra, rlang
NeedsCompilation: no
Packaged: 2024-10-20 13:58:44 UTC; Lenovo
Author: Bernard Isekah Osang'ir [aut, cre] , Bernard Isekah Osang'ir [aut]
Maintainer: Bernard Isekah Osang'ir <Bernard.Osangir@sckcen.be>
Repository: CRAN
Date/Publication: 2024-10-22 13:10:01 UTC

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Package soundgen updated to version 2.7.1 with previous version 2.7.0 dated 2024-09-11

Title: Sound Synthesis and Acoustic Analysis
Description: Performs parametric synthesis of sounds with harmonic and noise components such as animal vocalizations or human voice. Also offers tools for audio manipulation and acoustic analysis, including pitch tracking, spectral analysis, audio segmentation, pitch and formant shifting, etc. Includes four interactive web apps for synthesizing and annotating audio, manually correcting pitch contours, and measuring formant frequencies. Reference: Anikin (2019) <doi:10.3758/s13428-018-1095-7>.
Author: Andrey Anikin [aut, cre]
Maintainer: Andrey Anikin <andrey.anikin@cogsci.se>

Diff between soundgen versions 2.7.0 dated 2024-09-11 and 2.7.1 dated 2024-10-22

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New package MRCV with initial version 0.4-0
Package: MRCV
Version: 0.4-0
Date: 2024-10-18
Title: Methods for Analyzing Multiple Response Categorical Variables (MRCVs)
Maintainer: Chris Bilder <bilder@unl.edu>
Depends: R (>= 4.4.0)
Imports: tables
Suggests: geepack
LazyData: TRUE
Description: Provides functions for analyzing the association between one single response categorical variable (SRCV) and one multiple response categorical variable (MRCV), or between two or three MRCVs. A modified Pearson chi-square statistic can be used to test for marginal independence for the one or two MRCV case, or a more general loglinear modeling approach can be used to examine various other structures of association for the two or three MRCV case. Bootstrap- and asymptotic-based standardized residuals and model-predicted odds ratios are available, in addition to other descriptive information. Statisical methods implemented are described in Bilder et al. (2000) <doi:10.1080/03610910008813665>, Bilder and Loughin (2004) <doi:10.1111/j.0006-341X.2004.00147.x>, Bilder and Loughin (2007) <doi:10.1080/03610920600974419>, and Koziol and Bilder (2014) <https://journal.r-project.org/articles/RJ-2014-014/>.
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2024-10-21 20:30:28 UTC; cbilder
Author: Natalie Koziol [aut], Chris Bilder [aut, cre]
Repository: CRAN
Date/Publication: 2024-10-22 14:00:02 UTC

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New package MonotoneHazardRatio with initial version 0.2.0
Package: MonotoneHazardRatio
Title: Nonparametric Estimation and Inference of a Monotone Hazard Ratio Function
Version: 0.2.0
Description: Nonparametric estimation and inference of a non-decreasing monotone hazard ratio from a right censored survival dataset. The estimator is based on a generalized Grenander typed estimator, and the inference procedure relies on direct plugin estimation of a first order derivative. More details please refer to the paper "Nonparametric inference under a monotone hazard ratio order" by Y. Wu and T. Westling (2023) <doi:10.1214/23-EJS2173>.
License: MIT + file LICENSE
Imports: fdrtool, KernSmooth, survival
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Suggests: testthat (>= 3.0.0)
URL: https://github.com/Yujian-Wu/MonotoneHazardRatio
BugReports: https://github.com/Yujian-Wu/MonotoneHazardRatio/issues
NeedsCompilation: no
Packaged: 2024-10-21 14:31:05 UTC; Daniel
Author: Yujian Wu [aut, cre]
Maintainer: Yujian Wu <yujianwu@umass.edu>
Repository: CRAN
Date/Publication: 2024-10-22 13:30:17 UTC

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Package maptiles updated to version 0.8.0 with previous version 0.7.0 dated 2024-01-11

Title: Download and Display Map Tiles
Description: To create maps from tiles, 'maptiles' downloads, composes and displays tiles from a large number of providers (e.g. 'OpenStreetMap', 'Stadia', 'Esri', 'CARTO', or 'Thunderforest').
Author: Timothee Giraud [cre, aut] , Diego Hernangomez [ctb] , Robert J. Hijmans [ctb] , Hugh A. Graham [ctb]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>

Diff between maptiles versions 0.7.0 dated 2024-01-11 and 0.8.0 dated 2024-10-22

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New package MNormTest with initial version 1.1.0
Package: MNormTest
Title: Multivariate Normal Hypothesis Testing
Version: 1.1.0
Maintainer: Xifeng Zhang <cnxifeng9819@163.com>
URL: https://github.com/Astringency/MNormTest, https://astringency.github.io/MNormTest/, https://CRAN.R-project.org/package=MNormTest
BugReports: https://github.com/Astringency/MNormTest/issues
Description: Hypothesis testing of the parameters of multivariate normal distributions, including the testing of a single mean vector, two mean vectors, multiple mean vectors, a single covariance matrix, multiple covariance matrices, a mean and a covariance matrix simultaneously, and the testing of independence of multivariate normal random vectors. Huixuan, Gao (2005, ISBN:9787301078587), "Applied Multivariate Statistical Analysis".
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.0.0), Rmpfr (>= 0.9-5)
Suggests: rmarkdown, knitr, yaml, testthat (>= 3.0.0), devtools, roxygen2, pkgbuild, covr, usethis, DT
NeedsCompilation: no
Packaged: 2024-10-21 14:00:18 UTC; DELL
Author: Xifeng Zhang [aut, cre]
Repository: CRAN
Date/Publication: 2024-10-22 13:20:06 UTC

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New package KrakenR with initial version 1.0.0
Package: KrakenR
Title: Comprehensive R Interface for Accessing Kraken Cryptocurrency Exchange REST API
Version: 1.0.0
Description: A comprehensive R interface to access data from the Kraken cryptocurrency exchange REST API <https://docs.kraken.com/api/>. It allows users to retrieve various market data, such as asset information, trading pairs, and price data. The package is designed to facilitate efficient data access for analysis, strategy development, and monitoring of cryptocurrency market trends.
URL: https://github.com/nathanael-g-durst/KrakenR
BugReports: https://github.com/nathanael-g-durst/KrakenR/issues
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: jsonlite, dplyr, tidyr, anytime, magrittr, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-21 21:06:57 UTC; natha
Author: Nathanael Duerst [aut, cre]
Maintainer: Nathanael Duerst <nathanael.durst@unil.ch>
Repository: CRAN
Date/Publication: 2024-10-22 14:00:05 UTC

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New package iccmult with initial version 1.0.0
Package: iccmult
Title: Intracluster Correlation Coefficient (ICC) in Clustered Categorical Data
Version: 1.0.0
Description: Assists in generating categorical clustered outcome data, estimating the Intracluster Correlation Coefficient (ICC) for nominal or ordinal data with 2+ categories under the resampling and method of moments (MoM) methods, with confidence intervals.
BugReports: https://github.com/ncs14/iccmult/issues/
License: MIT + file LICENSE
Imports: dirmult, gtools, ICCbin, lme4, stats
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-10-21 14:19:02 UTC; ncs14
Author: Nicole Solomon [aut, cre, cph]
Maintainer: Nicole Solomon <nicole.solomon@duke.edu>
Repository: CRAN
Date/Publication: 2024-10-22 13:30:11 UTC

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New package fluxfinder with initial version 1.0.0
Package: fluxfinder
Title: Parsing, Computation, and Diagnostics for Greenhouse Gas Measurements
Version: 1.0.0
Description: Parse static-chamber greenhouse gas measurement files generated by a variety of instruments; compute flux rates using multi-observation metadata; and generate diagnostic metrics and plots. Designed to be easy to integrate into reproducible scientific workflows.
URL: https://github.com/COMPASS-DOE/fluxfinder
License: MIT + file LICENSE
Encoding: UTF-8
Imports: broom (>= 1.0), jsonlite (>= 1.8), lubridate (>= 1.0), MASS (>= 7.0)
Suggests: gasfluxes, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0), withr (>= 2.0)
VignetteBuilder: knitr
BugReports: https://github.com/COMPASS-DOE/fluxfinder/issues
NeedsCompilation: no
Packaged: 2024-10-21 13:56:07 UTC; wilsonsj
Author: Stephanie Wilson [cre] , Ben Bond-Lamberty [aut] , Genevieve Noyce [ctb] , Roberta Bittencourt Peixoto [ctb] , Patrick Megonigal [ctb] , Smithsonian Institution [cph, fnd]
Maintainer: Stephanie Wilson <sjw22120@gmail.com>
Repository: CRAN
Date/Publication: 2024-10-22 13:20:02 UTC

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New package ECG with initial version 0.5.1
Package: ECG
Title: Center of Gravity Methods
Version: 0.5.1
Date: 2024-10-20
Author: Hugo Gasca-Aragon [aut, cre]
Maintainer: Hugo Gasca-Aragon <hugo_gasca_aragon@hotmail.com>
Description: Implementation of the Centre of Gravity method and the Extrapolated Centre of Gravity method. It supports replicated observations. Cameron, D.G., et al (1982) <doi:10.1366/0003702824638610> JCGM (2008) <doi:10.59161/JCGM100-2008E>.
Depends: R (>= 4.0), graphics (>= 3.4), stats (>= 3.4), MASS (>= 7.3)
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-10-21 21:00:52 UTC; hgasca
Repository: CRAN
Date/Publication: 2024-10-22 14:00:10 UTC

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New package cpp11tesseract with initial version 5.3.2
Package: cpp11tesseract
Title: Open Source OCR Engine
Version: 5.3.2
Description: Bindings to 'Tesseract': a powerful optical character recognition (OCR) engine that supports over 100 languages. The engine is highly configurable in order to tune the detection algorithms and obtain the best possible results.
License: Apache License (>= 2)
URL: https://pacha.dev/cpp11tesseract/
BugReports: https://github.com/pachadotdev/cpp11tesseract/issues
SystemRequirements: Tesseract >= 4.0.0 (libtesseract-dev / tesseract-devel) and Leptonica (libleptonica-dev / leptonica-devel). On Debian you need to install the English and other languages training data separately (e.g. tesseract-ocr-eng or tesseract-ocr-spa).
Imports: pdftools (>= 1.5), curl, digest
LinkingTo: cpp11
Suggests: magick (>= 1.7), spelling, knitr, tibble, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: yes
Packaged: 2024-10-21 16:41:20 UTC; pacha
Author: Jeroen Ooms [aut] , Mauricio Vargas Sepulveda [aut, cre] , Munk School of Global Affairs and Public Policy [fnd]
Maintainer: Mauricio Vargas Sepulveda <m.sepulveda@mail.utoronto.ca>
Repository: CRAN
Date/Publication: 2024-10-22 13:40:02 UTC

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New package biglmm with initial version 0.9-3
Package: biglmm
Title: Bounded Memory Linear and Generalized Linear Models
Version: 0.9-3
Author: Thomas Lumley [aut], Christophe Dutang [ctb], Alan Miller [ctb] , Morven Gentleman [ctb] , Mark Purver [cre]
Maintainer: Mark Purver <mark_purver@hotmail.com>
Description: Regression for data too large to fit in memory. This package functions exactly like the 'biglm' package, but works with later versions of R.
License: GPL
Suggests: RSQLite, RODBC
Depends: DBI, methods
Enhances: leaps
Packaged: 2024-10-21 16:03:01 UTC; mark_
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2024-10-22 13:30:14 UTC

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Package SmallCountRounding updated to version 1.0.8 with previous version 1.0.5 dated 2024-09-05

Title: Small Count Rounding of Tabular Data
Description: A statistical disclosure control tool to protect frequency tables in cases where small values are sensitive. The function PLSrounding() performs small count rounding of necessary inner cells so that all small frequencies of cross-classifications to be published (publishable cells) are rounded. This is equivalent to changing micro data since frequencies of unique combinations are changed. Thus, additivity and consistency are guaranteed. The methodology is described in Langsrud and Heldal (2018) <https://www.researchgate.net/publication/327768398_An_Algorithm_for_Small_Count_Rounding_of_Tabular_Data>.
Author: Oeyvind Langsrud [aut, cre], Johan Heldal [aut]
Maintainer: Oeyvind Langsrud <oyl@ssb.no>

Diff between SmallCountRounding versions 1.0.5 dated 2024-09-05 and 1.0.8 dated 2024-10-22

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Package SESraster updated to version 0.7.1 with previous version 0.7.0 dated 2023-08-10

Title: Raster Randomization for Null Hypothesis Testing
Description: Randomization of presence/absence species distribution raster data with or without including spatial structure for calculating standardized effect sizes and testing null hypothesis. The randomization algorithms are based on classical algorithms for matrices (Gotelli 2000, <doi:10.2307/177478>) implemented for raster data.
Author: Neander Marcel Heming [aut, cre, cph] , Flavio M. M. Mota [aut] , Gabriela Alves-Ferreira [aut]
Maintainer: Neander Marcel Heming <neanderh@yahoo.com.br>

Diff between SESraster versions 0.7.0 dated 2023-08-10 and 0.7.1 dated 2024-10-22

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Package quantreg updated to version 5.99 with previous version 5.98 dated 2024-05-26

Title: Quantile Regression
Description: Estimation and inference methods for models for conditional quantile functions: Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also now included. See Koenker, R. (2005) Quantile Regression, Cambridge U. Press, <doi:10.1017/CBO9780511754098> and Koenker, R. et al. (2017) Handbook of Quantile Regression, CRC Press, <doi:10.1201/9781315120256>.
Author: Roger Koenker [cre, aut], Stephen Portnoy [ctb] , Pin Tian Ng [ctb] , Blaise Melly [ctb] , Achim Zeileis [ctb] , Philip Grosjean [ctb] , Cleve Moler [ctb] , Yousef Saad [ctb] , Victor Chernozhukov [ctb] , Ivan Fernandez-Val [ctb] , Brian D Ripley [tr [...truncated...]
Maintainer: Roger Koenker <rkoenker@illinois.edu>

Diff between quantreg versions 5.98 dated 2024-05-26 and 5.99 dated 2024-10-22

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Package gRbase updated to version 2.0.3 with previous version 2.0.2 dated 2024-06-05

Title: A Package for Graphical Modelling in R
Description: The 'gRbase' package provides graphical modelling features used by e.g. the packages 'gRain', 'gRim' and 'gRc'. 'gRbase' implements graph algorithms including (i) maximum cardinality search (for marked and unmarked graphs). (ii) moralization, (iii) triangulation, (iv) creation of junction tree. 'gRbase' facilitates array operations, 'gRbase' implements functions for testing for conditional independence. 'gRbase' illustrates how hierarchical log-linear models may be implemented and describes concept of graphical meta data. The facilities of the package are documented in the book by Højsgaard, Edwards and Lauritzen (2012, <doi:10.1007/978-1-4614-2299-0>) and in the paper by Dethlefsen and Højsgaard, (2005, <doi:10.18637/jss.v014.i17>). Please see 'citation("gRbase")' for citation details.
Author: Soeren Hoejsgaard [aut, cre]
Maintainer: Soeren Hoejsgaard <sorenh@math.aau.dk>

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Package CIpostSelect updated to version 0.2.1 with previous version 0.2.0 dated 2024-10-04

Title: Confidence Interval Post-Selection of Variable
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.
Author: Boubacar DIALLO [aut, cre]
Maintainer: Boubacar DIALLO <boubacar.diallo0@yahoo.com>

Diff between CIpostSelect versions 0.2.0 dated 2024-10-04 and 0.2.1 dated 2024-10-22

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Package bfast updated to version 1.7.0 with previous version 1.6.1 dated 2021-05-10

Title: Breaks for Additive Season and Trend
Description: Decomposition of time series into trend, seasonal, and remainder components with methods for detecting and characterizing abrupt changes within the trend and seasonal components. 'BFAST' can be used to analyze different types of satellite image time series and can be applied to other disciplines dealing with seasonal or non-seasonal time series, such as hydrology, climatology, and econometrics. The algorithm can be extended to label detected changes with information on the parameters of the fitted piecewise linear models. 'BFAST' monitoring functionality is described in Verbesselt et al. (2010) <doi:10.1016/j.rse.2009.08.014>. 'BFAST monitor' provides functionality to detect disturbance in near real-time based on 'BFAST'- type models, and is described in Verbesselt et al. (2012) <doi:10.1016/j.rse.2012.02.022>. 'BFAST Lite' approach is a flexible approach that handles missing data without interpolation, and will be described in an upcoming paper. Furthermore, different mode [...truncated...]
Author: Jan Verbesselt [aut], Dainius Masiliūnas [aut, cre] , Achim Zeileis [aut], Rob Hyndman [ctb], Marius Appel [aut], Martin Jung [ctb], Andrei Mîrț [ctb] , Paulo Negri Bernardino [ctb], Dongdong Kong [ctb]
Maintainer: Dainius Masiliūnas <pastas4@gmail.com>

Diff between bfast versions 1.6.1 dated 2021-05-10 and 1.7.0 dated 2024-10-22

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Package RCALI updated to version 0.3.7 with previous version 0.3.6 dated 2024-02-16

Title: Calculation of the Integrated Flow of Particles Between Polygons
Description: Calculate the flow of particles between polygons by two integration methods: integration by a cubature method and integration on a grid of points. Annie Bouvier, Kien Kieu, Kasia Adamczyk and Herve Monod (2009) <doi:10.1016/j.envsoft.2008.11.006>.
Author: Annie Bouvier [aut, cph], Kien Kieu [aut, cph], Kasia Adamczyk [aut, cph], Herve Monod [aut, cph], Jean-Francois Rey [cre]
Maintainer: Jean-Francois Rey <jean-francois.rey@inrae.fr>

Diff between RCALI versions 0.3.6 dated 2024-02-16 and 0.3.7 dated 2024-10-22

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Package likelihoodR updated to version 1.1.5 with previous version 1.1.4 dated 2023-09-14

Title: Likelihood Analyses for Common Statistical Tests
Description: A collection of functions that calculate the log likelihood (support) for a range of statistical tests. Where possible the likelihood function and likelihood interval for the observed data are displayed. The evidential approach used here is based on the book "Likelihood" by A.W.F. Edwards (1992, ISBN-13 : 978-0801844430), "Statistical Evidence" by R. Royall (1997, ISBN-13 : 978-0412044113), S.N. Goodman & R. Royall (2011) <doi:10.2105/AJPH.78.12.1568>, "Understanding Psychology as a Science" by Z. Dienes (2008, ISBN-13 : 978-0230542310), S. Glover & P. Dixon <doi:10.3758/BF03196706> and others. This package accompanies "Evidence-Based Statistics" by P. Cahusac (2020, ISBN-13 : 978-1119549802) <doi:10.1002/9781119549833>.
Author: Peter Cahusac [aut, cre]
Maintainer: Peter Cahusac <peteqsac@gmail.com>

Diff between likelihoodR versions 1.1.4 dated 2023-09-14 and 1.1.5 dated 2024-10-22

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Package seasonalview updated to version 1.0.0 with previous version 0.3 dated 2017-05-04

Title: Graphical User Interface for Seasonal Adjustment
Description: A graphical user interface to the 'seasonal' package and 'X-13ARIMA-SEATS', the U.S. Census Bureau's seasonal adjustment software.
Author: Christoph Sax [aut, cre]
Maintainer: Christoph Sax <christoph.sax@gmail.com>

Diff between seasonalview versions 0.3 dated 2017-05-04 and 1.0.0 dated 2024-10-22

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Package HDNRA updated to version 2.0.1 with previous version 2.0.0 dated 2024-10-18

Title: High-Dimensional Location Testing with Normal-Reference Approaches
Description: We provide a collection of various classical tests and latest normal-reference tests for comparing high-dimensional mean vectors including two-sample and general linear hypothesis testing (GLHT) problem. Some existing tests for two-sample problem [see Bai, Zhidong, and Hewa Saranadasa.(1996) <https://www.jstor.org/stable/24306018>; Chen, Song Xi, and Ying-Li Qin.(2010) <doi:10.1214/09-aos716>; Srivastava, Muni S., and Meng Du.(2008) <doi:10.1016/j.jmva.2006.11.002>; Srivastava, Muni S., Shota Katayama, and Yutaka Kano.(2013)<doi:10.1016/j.jmva.2012.08.014>]. Normal-reference tests for two-sample problem [see Zhang, Jin-Ting, Jia Guo, Bu Zhou, and Ming-Yen Cheng.(2020) <doi:10.1080/01621459.2019.1604366>; Zhang, Jin-Ting, Bu Zhou, Jia Guo, and Tianming Zhu.(2021) <doi:10.1016/j.jspi.2020.11.008>; Zhang, Liang, Tianming Zhu, and Jin-Ting Zhang.(2020) <doi:10.1016/j.ecosta.2019.12.002>; Zhang, Liang, Tianming Zhu, and Jin-Ting Zhang.(2023) <doi [...truncated...]
Author: Pengfei Wang [aut, cre], Shuqi Luo [aut], Tianming Zhu [aut], Bu Zhou [aut]
Maintainer: Pengfei Wang <nie23.wp8738@e.ntu.edu.sg>

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Package googlePolylines updated to version 0.8.5 with previous version 0.8.4 dated 2023-09-05

Title: Encoding Coordinates into 'Google' Polylines
Description: Encodes simple feature ('sf') objects and coordinates, and decodes polylines using the 'Google' polyline encoding algorithm (<https://developers.google.com/maps/documentation/utilities/polylinealgorithm>).
Author: David Cooley [aut, cre], Paulo Barcelos [ctb] , Chris Muir [ctb]
Maintainer: David Cooley <dcooley@symbolix.com.au>

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New package gesca with initial version 1.0.5
Package: gesca
Title: Generalized Structured Component Analysis Structural Equation Modeling
Version: 1.0.5
Description: Implementing generalized structured component analysis (GSCA) and its basic extensions, including constrained single and multiple group analysis, and second order latent variable modeling. For a comprehensive overview of GSCA, see Hwang & Takane (2014, ISBN: 9780367738754).
License: GPL (>= 2)
Encoding: UTF-8
Language: en-US
URL: https://quantmm.github.io/gesca/
NeedsCompilation: no
Packaged: 2024-10-19 23:14:49 UTC; SUNMEE KIM
Author: Heungsun Hwang [aut] , Sunmee Kim [aut, cre] , Sungyoung Lee [aut] , Taesung Park [aut]
Maintainer: Sunmee Kim <sunmee.kim@umanitoba.ca>
Repository: CRAN
Date/Publication: 2024-10-22 08:20:02 UTC

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New package flourishcharts with initial version 1.0.0.3
Package: flourishcharts
Title: 'Flourish' for 'R' and 'Python'
Version: 1.0.0.3
Description: Interactive data visualization for data practitioners. 'flourishcharts' allows users to visualize their data using 'Flourish' graphs that are grounded in data storytelling principles. Users can create racing bar & line charts, as well as other interactive elements commonly found in 'D3' graphics, easily in 'R' and 'Python'. The package relies on an enterprise API provided by 'Flourish', a data visualization platform <https://developers.flourish.studio/api/introduction/>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en
LazyData: true
Suggests: testthat (>= 3.2.0), knitr, rmarkdown, reticulate, tidyr, here
URL: https://www.canva.dev/opensource/flourish-charts/, https://github.com/canva-public/flourishcharts
BugReports: https://github.com/canva-public/flourishcharts/issues
Depends: R (>= 4.00)
Imports: htmlwidgets, htmltools, jsonlite, dplyr, httr, utils
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-10-20 08:30:26 UTC; zoe.m
Author: Zoe Meers [aut, trl, cre], Alex Sadleir [aut], Luisa Bider [aut], Flourish Studio [cph]
Maintainer: Zoe Meers <zoe.m@canva.com>
Repository: CRAN
Date/Publication: 2024-10-22 08:40:02 UTC

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Package CICI updated to version 0.9.2 with previous version 0.9.1 dated 2023-09-18

Title: Causal Inference with Continuous (Multiple Time Point) Interventions
Description: Estimation of counterfactual outcomes for multiple values of continuous interventions at different time points, and plotting of causal dose-response curves. Details are given in Schomaker, McIlleron, Denti, Diaz (2024) <doi:10.48550/arXiv.2305.06645>.
Author: Michael Schomaker [aut, cre]
Maintainer: Michael Schomaker <michael.schomaker@stat.uni-muenchen.de>

Diff between CICI versions 0.9.1 dated 2023-09-18 and 0.9.2 dated 2024-10-22

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Package spatstat.explore updated to version 3.3-3 with previous version 3.3-2 dated 2024-08-21

Title: Exploratory Data Analysis for the 'spatstat' Family
Description: Functionality for exploratory data analysis and nonparametric analysis of spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported.
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Warick Brown [cph], Achmad Choiruddin [ctb], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb, cph], Julian Gi [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package rsi updated to version 0.3.1 with previous version 0.3.0 dated 2024-10-02

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>

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Package ReplicationSuccess updated to version 1.3.3 with previous version 1.3.2 dated 2024-02-22

Title: Design and Analysis of Replication Studies
Description: Provides utilities for the design and analysis of replication studies. Features both traditional methods based on statistical significance and more recent methods such as the sceptical p-value; Held L. (2020) <doi:10.1111/rssa.12493>, Held et al. (2022) <doi:10.1214/21-AOAS1502>, Micheloud et al. (2023) <doi:10.1111/stan.12312>. Also provides related methods including the harmonic mean chi-squared test; Held, L. (2020) <doi:10.1111/rssc.12410>, and intrinsic credibility; Held, L. (2019) <doi:10.1098/rsos.181534>. Contains datasets from five large-scale replication projects.
Author: Leonhard Held [aut] , Samuel Pawel [cre] , Charlotte Micheloud [aut] , Florian Gerber [aut] , Felix Hofmann [aut]
Maintainer: Samuel Pawel <samuel.pawel@uzh.ch>

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Package logger updated to version 0.4.0 with previous version 0.3.0 dated 2024-03-05

Title: A Lightweight, Modern and Flexible Logging Utility
Description: Inspired by the the 'futile.logger' R package and 'logging' Python module, this utility provides a flexible and extensible way of formatting and delivering log messages with low overhead.
Author: Gergely Daroczi [aut, cre] , Hadley Wickham [aut] , System1 [fnd]
Maintainer: Gergely Daroczi <daroczig@rapporter.net>

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Package secrlinear updated to version 1.2.4 with previous version 1.2.2 dated 2023-10-17

Title: Spatially Explicit Capture-Recapture for Linear Habitats
Description: Tools for spatially explicit capture-recapture analysis of animal populations in linear habitats, extending package 'secr'.
Author: Murray Efford [aut, cre]
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

Diff between secrlinear versions 1.2.2 dated 2023-10-17 and 1.2.4 dated 2024-10-22

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Package scape updated to version 2.3.5 with previous version 2.3.3 dated 2020-11-23

Title: Statistical Catch-at-Age Plotting Environment
Description: Import, plot, and diagnose results from statistical catch-at-age models, used in fisheries stock assessment.
Author: Arni Magnusson [aut, cre]
Maintainer: Arni Magnusson <thisisarni@gmail.com>

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Package pPCA updated to version 1.1 with previous version 1.0 dated 2024-10-11

Title: Partial Principal Component Analysis of Partitioned Large Sparse Matrices
Description: Performs partial principal component analysis of a large sparse matrix. The matrix may be stored as a list of matrices to be concatenated (implicitly) horizontally. Useful application includes cases where the number of total nonzero entries exceed the capacity of 32 bit integers (e.g., with large Single Nucleotide Polymorphism data).
Author: Srika Raja [aut, cre], Somak Dutta [aut]
Maintainer: Srika Raja <sri1919@iastate.edu>

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Package r2d2 updated to version 1.0.2 with previous version 1.0.1 dated 2022-05-11

Title: Bivariate (Two-Dimensional) Confidence Region and Frequency Distribution
Description: Generic functions to analyze the distribution of two continuous variables: 'conf2d' to calculate a smooth empirical confidence region, and 'freq2d' to calculate a frequency distribution.
Author: Arni Magnusson [aut, cre], Julian Burgos [aut], Gregory R. Warnes [ctb]
Maintainer: Arni Magnusson <thisisarni@gmail.com>

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Package MSSQL updated to version 1.0.1 with previous version 1.0.0 dated 2021-03-10

Title: Tools to Work with Microsoft SQL Server Databases via 'RODBC'
Description: Tools that extend the functionality of the 'RODBC' package to work with Microsoft SQL Server databases. Makes it easier to browse the database and examine individual tables and views.
Author: Arni Magnusson [aut, cre]
Maintainer: Arni Magnusson <thisisarni@gmail.com>

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Package gdata updated to version 3.0.1 with previous version 3.0.0 dated 2023-10-16

Title: Various R Programming Tools for Data Manipulation
Description: Various R programming tools for data manipulation, including medical unit conversions, combining objects, character vector operations, factor manipulation, obtaining information about R objects, generating fixed-width format files, extracting components of date & time objects, operations on columns of data frames, matrix operations, operations on vectors, operations on data frames, value of last evaluated expression, and a resample() wrapper for sample() that ensures consistent behavior for both scalar and vector arguments.
Author: Gregory R. Warnes [aut], Gregor Gorjanc [aut], Arni Magnusson [aut, cre], Liviu Andronic [aut], Jim Rogers [aut], Don MacQueen [aut], Ales Korosec [aut], Ben Bolker [ctb], Michael Chirico [ctb], Gabor Grothendieck [ctb], Thomas Lumley [ctb], Brian Ri [...truncated...]
Maintainer: Arni Magnusson <thisisarni@gmail.com>

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Mon, 21 Oct 2024

Package protti updated to version 0.9.1 with previous version 0.9.0 dated 2024-07-15

Title: Bottom-Up Proteomics and LiP-MS Quality Control and Data Analysis Tools
Description: Useful functions and workflows for proteomics quality control and data analysis of both limited proteolysis-coupled mass spectrometry (LiP-MS) (Feng et. al. (2014) <doi:10.1038/nbt.2999>) and regular bottom-up proteomics experiments. Data generated with search tools such as 'Spectronaut', 'MaxQuant' and 'Proteome Discover' can be easily used due to flexibility of functions.
Author: Jan-Philipp Quast [aut, cre] , Dina Schuster [aut] , ETH Zurich [cph, fnd]
Maintainer: Jan-Philipp Quast <quast@imsb.biol.ethz.ch>

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Package jagshelper updated to version 0.4.0 with previous version 0.3.2 dated 2024-08-19

Title: Extracting and Visualizing Output from 'jagsUI'
Description: Tools are provided to streamline Bayesian analyses in 'JAGS' using the 'jagsUI' package. Included are functions for extracting output in simpler format, functions for streamlining assessment of convergence, and functions for producing summary plots of output. Also included is a function that provides a simple template for running 'JAGS' from 'R'. Referenced materials can be found at <DOI:10.1214/ss/1177011136>.
Author: Matt Tyers [aut, cre]
Maintainer: Matt Tyers <matttyersstat@gmail.com>

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Package drat updated to version 0.2.5 with previous version 0.2.4 dated 2023-10-09

Title: 'Drat' R Archive Template
Description: Creation and use of R Repositories via helper functions to insert packages into a repository, and to add repository information to the current R session. Two primary types of repositories are support: gh-pages at GitHub, as well as local repositories on either the same machine or a local network. Drat is a recursive acronym: Drat R Archive Template.
Author: Dirk Eddelbuettel [aut, cre] , Felix Ernst [ctb] , Neal Fultz [ctb], Colin Gillespie [ctb] , Christoph Stepper [ctb], Thomas Leeper [ctb] , Mark van der Loo [ctb] , Jan Gorecki [ctb], Joey Reid [ctb], Arne Johannes Holmin [ctb]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package rice updated to version 0.3.0 with previous version 0.2.0 dated 2024-09-24

Title: Radiocarbon Equations
Description: Provides functions for the calibration of radiocarbon dates, as well as options to calculate different radiocarbon realms (C14 age, F14C, pMC, D14C) and estimating the effects of contamination or local reservoir offsets (Reimer and Reimer 2001 <doi:10.1017/S0033822200038339>). The methods follow long-established recommendations such as Stuiver and Polach (1977) <doi:10.1017/S0033822200003672> and Reimer et al. (2004) <doi:10.1017/S0033822200033154>. This package accompanies the data package 'rintcal'.
Author: Maarten Blaauw [aut, cre]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

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Package R2sample updated to version 2.2.0 with previous version 1.1.0 dated 2023-01-23

Title: Various Methods for the Two Sample Problem
Description: The routine twosample_test() in this package runs the two sample test using various test statistic. The p values are found via permutation or large sample theory. The routine twosample_power() allows the calculation of the power in various cases, and plot_power() draws the corresponding power graphs.
Author: Wolfgang Rolke [aut, cre]
Maintainer: Wolfgang Rolke <wolfgang.rolke@upr.edu>

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Package oglcnac (with last version 0.1.2) was removed from CRAN

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

2024-10-07 0.1.2

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Package ProAE updated to version 1.0.3 with previous version 1.0.1 dated 2024-06-17

Title: PRO-CTCAE Scoring, Analysis, and Graphical Tools
Description: A collection of tools to facilitate standardized analysis and graphical procedures when using the National Cancer Institute’s Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) and other PRO measurements.
Author: Blake Langlais [aut, cre], Brie Noble [ctb], Mia Truman [ctb], Molly Voss [ctb], Amylou Dueck [aut]
Maintainer: Blake Langlais <langlais.blake@mayo.edu>

Diff between ProAE versions 1.0.1 dated 2024-06-17 and 1.0.3 dated 2024-10-21

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Package mrfse updated to version 0.4.2 with previous version 0.4.1 dated 2022-11-16

Title: Markov Random Field Structure Estimator
Description: Three algorithms for estimating a Markov random field structure.Two of them are an exact version and a simulated annealing version of a penalized maximum conditional likelihood method similar to the Bayesian Information Criterion. These algorithm are described in Frondana (2016) <doi:10.11606/T.45.2018.tde-02022018-151123>.The third one is a greedy algorithm, described in Bresler (2015) <doi:10.1145/2746539.2746631).
Author: Rodrigo Carvalho [aut, cre], Florencia Leonardi [rev, ths]
Maintainer: Rodrigo Carvalho <rodrigorsdc@gmail.com>

Diff between mrfse versions 0.4.1 dated 2022-11-16 and 0.4.2 dated 2024-10-21

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Package lzstring updated to version 0.1.3 with previous version 0.1.2 dated 2024-05-07

Title: Wrapper for 'lz-string' 'C++' Library
Description: Provide access to the 'lz-string' <http://pieroxy.net/blog/pages/lz-string/index.html> 'C++' library for Lempel-Ziv (LZ) based compression and decompression of strings.
Author: Sam Parmar [aut, cre], Andrey Krasnov [cph] , Pawel Rucki [ctb]
Maintainer: Sam Parmar <parmartsam@gmail.com>

Diff between lzstring versions 0.1.2 dated 2024-05-07 and 0.1.3 dated 2024-10-21

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New package Colossus with initial version 1.1.4.2
Package: Colossus
Title: "Risk Model Regression and Analysis with Complex Non-Linear Models"
Version: 1.1.4.2
URL: https://ericgiunta.github.io/Colossus/, https://github.com/ericgiunta/Colossus
BugReports: https://github.com/ericgiunta/Colossus/issues
Description: Performs survival analysis using general non-linear models. Risk models can be the sum or product of terms. Each term is the product of exponential/linear functions of covariates. Additionally sub-terms can be defined as a sum of exponential, linear threshold, and step functions. Cox Proportional hazards <https://en.wikipedia.org/wiki/Proportional_hazards_model>, Poisson <https://en.wikipedia.org/wiki/Poisson_regression>, and Fine-Grey competing risks <https://www.publichealth.columbia.edu/research/population-health-methods/competing-risk-analysis> regression are supported. This work was sponsored by NASA Grant 80NSSC19M0161 through a subcontract from the National Council on Radiation Protection and Measurements (NCRP). The computing for this project was performed on the Beocat Research Cluster at Kansas State University, which is funded in part by NSF grants CNS-1006860, EPS-1006860, EPS-0919443, ACI-1440548, CHE-1726332, and NIH P20GM113109.
License: GPL (>= 3)
Imports: Rcpp, data.table, parallel, stats, utils, rlang, callr, stringr, processx
LinkingTo: Rcpp, RcppEigen, testthat
SystemRequirements: make
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat, xml2, ggplot2, pandoc, spelling, survival
VignetteBuilder: knitr
Language: en-US
Biarch: TRUE
NeedsCompilation: yes
Packaged: 2024-10-21 15:29:34 UTC; user
Author: Eric Giunta [aut, cre] , Amir Bahadori [ctb] , Dan Andresen [ctb], Linda Walsh [ctb] , Benjamin French [ctb] , Lawrence Dauer [ctb], John Boice Jr [ctb] , Kansas State University [cph], NASA [fnd], NCRP [fnd], NRC [fnd]
Maintainer: Eric Giunta <egiunta@ksu.edu>
Repository: CRAN
Date/Publication: 2024-10-21 19:00:02 UTC

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Package SSBtools updated to version 1.5.5 with previous version 1.5.4 dated 2024-09-20

Title: Statistics Norway's Miscellaneous Tools
Description: Functions used by other packages from Statistics Norway are gathered. General data manipulation functions, algorithms for statistical disclosure control (Langsrud, 2024) <doi:10.1007/978-3-031-69651-0_6> and functions for hierarchical computations by sparse model matrices are included (Langsrud, 2023) <doi:10.32614/RJ-2023-088>.
Author: Oeyvind Langsrud [aut, cre] , Daniel Lupp [aut] , Bjoern-Helge Mevik [ctb], Vidar Norstein Klungre [rev] , Statistics Norway [cph]
Maintainer: Oeyvind Langsrud <oyl@ssb.no>

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Package patchDVI updated to version 1.11.3 with previous version 1.11.0 dated 2023-03-14

Title: Package to Patch '.dvi' or '.synctex' Files
Description: Functions to patch specials in '.dvi' files, or entries in '.synctex' files. Works with concordance=TRUE in Sweave, knitr or R Markdown to link sources to previews.
Author: Duncan Murdoch [aut, cre]
Maintainer: Duncan Murdoch <murdoch.duncan@gmail.com>

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Package FuzzyPovertyR updated to version 3.0.2 with previous version 3.0.1 dated 2024-10-03

Title: Estimation of Fuzzy Poverty Measures
Description: Estimates fuzzy measures of poverty and deprivation. It also estimates the sampling variance of these measures using bootstrap or jackknife repeated replications.
Author: Federico Crescenzi [aut, cre] , Lorenzo Mori [aut] , Gianni Betti [ctb]
Maintainer: Federico Crescenzi <federico.crescenzi@unitus.it>

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