Fri, 05 May 2023

Package evaluate updated to version 0.21 with previous version 0.20 dated 2023-01-17

Title: Parsing and Evaluation Tools that Provide More Details than the Default
Description: Parsing and evaluation tools that make it easy to recreate the command line behaviour of R.
Author: Hadley Wickham [aut], Yihui Xie [aut, cre] , Michael Lawrence [ctb], Thomas Kluyver [ctb], Jeroen Ooms [ctb], Barret Schloerke [ctb], Adam Ryczkowski [ctb], Hiroaki Yutani [ctb], Michel Lang [ctb], Karolis Koncevicius [ctb], Posit Software, PBC [cph, [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

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New package eicm with initial version 1.0.3
Package: eicm
Version: 1.0.3
Date: 2023-04-28
Title: Explicit Interaction Community Models
Maintainer: Miguel Porto <mpbertolo@gmail.com>
Depends: R (>= 3.5.0)
Imports: methods, parallel, GA (>= 3.1.1), snow, doSNOW, iterators, pso, ucminf, foreach, graphics, optimParallel
Suggests: igraph, knitr, rmarkdown
VignetteBuilder: knitr
Description: Model fitting and species biotic interaction network topology selection for explicit interaction community models. Explicit interaction community models are an extension of binomial linear models for joint modelling of species communities, that incorporate both the effects of species biotic interactions and the effects of missing covariates. Species interactions are modelled as direct effects of each species on each of the others, and are estimated alongside the effects of missing covariates, modelled as latent factors. The package includes a penalized maximum likelihood fitting function, and a genetic algorithm for selecting the most parsimonious species interaction network topology.
License: GPL (>= 2)
Encoding: UTF-8
URL: https://github.com/miguel-porto/eicm
BugReports: https://github.com/miguel-porto/eicm
LazyData: true
NeedsCompilation: yes
Packaged: 2023-05-05 10:03:16 UTC; miguel
Author: Miguel Porto [aut, cre] , Pedro Beja [aut]
Repository: CRAN
Date/Publication: 2023-05-05 23:10:02 UTC

More information about eicm at CRAN
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Package gdata updated to version 2.19.0 with previous version 2.18.0.1 dated 2022-05-11

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, manipulating MS-Excel formatted files, 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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Package chatgpt updated to version 0.2.3 with previous version 0.2.2 dated 2023-03-22

Title: Interface to 'ChatGPT' from R
Description: 'OpenAI's 'ChatGPT' <https://chat.openai.com/> coding assistant for 'RStudio'. A set of functions and 'RStudio' addins that aim to help the R developer in tedious coding tasks.
Author: Juan Cruz Rodriguez [aut, cre]
Maintainer: Juan Cruz Rodriguez <jcrodriguez@unc.edu.ar>

Diff between chatgpt versions 0.2.2 dated 2023-03-22 and 0.2.3 dated 2023-05-05

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New package nswgeo with initial version 0.3.3
Package: nswgeo
Title: Geospatial Data and Maps for New South Wales, Australia
Version: 0.3.3
Description: Geospatial data for creating maps of New South Wales (NSW), Australia, and some helpers to work with common problems like normalising postcodes. Registers its data with 'cartographer'.
License: MIT + file LICENSE
Copyright: file COPYRIGHTS
Encoding: UTF-8
Language: en-GB
LazyData: true
Depends: R (>= 4.2),
Imports: cartographer (>= 0.2), sf (>= 1.0)
Suggests: dplyr (>= 1.0.0), ggplot2, nngeo, readr, stringr
URL: https://github.com/cidm-ph/nswgeo, https://cidm-ph.github.io/nswgeo/
BugReports: https://github.com/cidm-ph/nswgeo/issues
NeedsCompilation: no
Packaged: 2023-05-04 22:35:13 UTC; csuster
Author: Carl Suster [aut, cre] , Western Sydney Local Health District, NSW Health [cph]
Maintainer: Carl Suster <Carl.Suster@health.nsw.gov.au>
Repository: CRAN
Date/Publication: 2023-05-05 20:40:02 UTC

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New package hemispheR with initial version 0.1.0
Package: hemispheR
Title: Processing Hemispherical Canopy Images
Version: 0.1.0
Description: Import and classify canopy fish-eye images, estimate angular gap fraction and derive canopy attributes like leaf area index and openness. Additional information is provided in the study by Chianucci F., Macek M. (2023) <doi:10.1016/j.agrformet.2023.109470>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: autothresholdr, dplyr, graphics, grDevices, jpeg, magrittr, plotrix, raster, rlang, scales, sp, tidyr
Depends: R (>= 2.10)
LazyData: true
Suggests: spelling
Language: en-US
NeedsCompilation: no
Packaged: 2023-05-04 19:57:29 UTC; francescochianucci
Author: Francesco Chianucci [aut, cre] , Martin Macek [aut]
Maintainer: Francesco Chianucci <fchianucci@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-05 20:40:05 UTC

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New package geomod with initial version 0.1.0
Package: geomod
Title: A Computer Program for Geotechnical Investigations
Version: 0.1.0
Description: The 'geomod' does spatial prediction of the Geotechnical soil properties. It predicts the spatial distribution of Geotechnical properties of soil e.g. shear strength, permeability, plasticity index, Standard Penetration Test (SPT) counts, etc. The output of the prediction takes the form of a map or a series of maps. It uses the interpolation technique where a single or statistically “best” estimate of spatial occurrence soil property is determined. The interpolation is based on both the sampled data and a variogram model for the spatial correlation of the sampled data. The single estimate is produced by a Kriging technique.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: raster, sp, caret, rasterVis, stats, randomForest, arm, kernlab, e1071, Cubist, rpart, ranger, qrnn, quantregForest, nnet
NeedsCompilation: no
Packaged: 2023-05-05 07:46:47 UTC; user
Author: Festus Ngeno [aut, cre]
Maintainer: Festus Ngeno <festus.k.ngeno@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-05 20:50:02 UTC

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New package clpm with initial version 1.0
Package: clpm
Title: Constrained Estimation of Linear Probability Model
Version: 1.0
Description: Estimation of linear model with predictions inside the (0,1) interval. Standard least squares criterion is minimized subjected to a penalty term that enforces the constraints. The estimator is suitable for binary responses, or any response between 0 and 1.
Date: 2023-04-30
Imports: stats
License: GPL-2
NeedsCompilation: no
Packaged: 2023-05-04 15:44:37 UTC; Paolo Frumento
Author: Andrea Beci [aut, cre], Paolo Frumento [aut]
Maintainer: Andrea Beci <andreabeci08@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-05 20:50:05 UTC

More information about clpm at CRAN
Permanent link

Package receptiviti updated to version 0.1.4 with previous version 0.1.3 dated 2022-12-13

Title: Text Analysis Through the 'Receptiviti' API
Description: Send text to the <https://www.receptiviti.com> API to be scored by all available frameworks.
Author: Receptiviti Inc. [fnd, cph], Kent English [cre], Micah Iserman [aut, ctr]
Maintainer: Kent English <kenglish@receptiviti.com>

Diff between receptiviti versions 0.1.3 dated 2022-12-13 and 0.1.4 dated 2023-05-05

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Package Guerry updated to version 1.8.1 with previous version 1.8.0 dated 2022-10-08

Title: Maps, Data and Methods Related to Guerry (1833) "Moral Statistics of France"
Description: Maps of France in 1830, multivariate datasets from A.-M. Guerry and others, and statistical and graphic methods related to Guerry's "Moral Statistics of France". The goal is to facilitate the exploration and development of statistical and graphic methods for multivariate data in a geospatial context of historical interest.
Author: Michael Friendly [aut, cre] , Stephane Dray [aut] , Roger Bivand [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>

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Package plantTracker updated to version 1.1.0 with previous version 1.0.1 dated 2023-01-11

Title: Extract Demographic and Competition Data from Fine-Scale Maps
Description: Extracts growth, survival, and local neighborhood density information from repeated, fine-scale maps of organism occurrence. Further information about this package can be found in our journal article, "plantTracker: An R package to translate maps of plant occurrence into demographic data" published in 2022 in Methods in Ecology and Evolution (Stears, et al., 2022) <doi:10.1111/2041-210X.13950>.
Author: Alice Stears [aut, cre] , Jared Studyvin [aut], David Atkins [aut]
Maintainer: Alice Stears <alice.e.stears@gmail.com>

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Package mpwR updated to version 0.1.4 with previous version 0.1.3 dated 2023-03-16

Title: Standardized Comparison of Workflows in Mass Spectrometry-Based Bottom-Up Proteomics
Description: Useful functions to analyze proteomic workflows including number of identifications, data completeness, missed cleavages, quantitative and retention time precision etc. Various software outputs are supported such as 'ProteomeDiscoverer', 'Spectronaut', 'DIA-NN' and 'MaxQuant'.
Author: Oliver Kardell [aut, cre]
Maintainer: Oliver Kardell <Okdll@gmx.net>

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Package metagam updated to version 0.4.0 with previous version 0.3.1 dated 2021-11-14

Title: Meta-Analysis of Generalized Additive Models
Description: Meta-analysis of generalized additive models and generalized additive mixed models. A typical use case is when data cannot be shared across locations, and an overall meta-analytic fit is sought. 'metagam' provides functionality for removing individual participant data from models computed using the 'mgcv' and 'gamm4' packages such that the model objects can be shared without exposing individual data. Furthermore, methods for meta-analysing these fits are provided. The implemented methods are described in Sorensen et al. (2020), <doi:10.1016/j.neuroimage.2020.117416>, extending previous works by Schwartz and Zanobetti (2000) and Crippa et al. (2018) <doi:10.6000/1929-6029.2018.07.02.1>.
Author: Oystein Sorensen [aut, cre] , Andreas M. Brandmaier [aut] , Athanasia Mo Mowinckel [aut]
Maintainer: Oystein Sorensen <oystein.sorensen@psykologi.uio.no>

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Package eventPred updated to version 0.1.2 with previous version 0.1.1 dated 2023-04-19

Title: Event Prediction
Description: Predicts enrollment and events at the design stage using assumed enrollment and treatment-specific time-to-event models, or at the analysis stage using blinded data and specified enrollment and time-to-event models through simulations.
Author: Kaifeng Lu [aut, cre]
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>

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Package PHEindicatormethods updated to version 2.0.1 with previous version 2.0.0 dated 2023-03-06

Title: Common Public Health Statistics and their Confidence Intervals
Description: Functions to calculate commonly used public health statistics and their confidence intervals using methods approved for use in the production of Public Health England indicators such as those presented via Fingertips (<http://fingertips.phe.org.uk/>). It provides functions for the generation of proportions, crude rates, means, directly standardised rates, indirectly standardised rates, standardised mortality ratios, slope and relative index of inequality and life expectancy. Statistical methods are referenced in the following publications. Breslow NE, Day NE (1987) <doi:10.1002/sim.4780080614>. Dobson et al (1991) <doi:10.1002/sim.4780100317>. Armitage P, Berry G (2002) <doi:10.1002/9780470773666>. Wilson EB. (1927) <doi:10.1080/01621459.1927.10502953>. Altman DG et al (2000, ISBN: 978-0-727-91375-3). Chiang CL. (1968, ISBN: 978-0-882-75200-6). Newell C. (1994, ISBN: 978-0-898-62451-9). Eayres DP, Williams ES (2004) <doi:10.1136/jech.2003.009654>. Si [...truncated...]
Author: Anderson Georgina [aut, cre], Fox Sebastian [ctb], Francis Matthew [ctb], Fryers Paul [ctb], Clegg Emma [ctb], Westermann Annabel [ctb], Woolner Joshua [ctb]
Maintainer: Anderson Georgina <georgina.anderson@dhsc.gov.uk>

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Package mlr3 updated to version 0.16.0 with previous version 0.15.0 dated 2023-03-17

Title: Machine Learning in R - Next Generation
Description: Efficient, object-oriented programming on the building blocks of machine learning. Provides 'R6' objects for tasks, learners, resamplings, and measures. The package is geared towards scalability and larger datasets by supporting parallelization and out-of-memory data-backends like databases. While 'mlr3' focuses on the core computational operations, add-on packages provide additional functionality.
Author: Michel Lang [cre, aut] , Bernd Bischl [aut] , Jakob Richter [aut] , Patrick Schratz [aut] , Giuseppe Casalicchio [ctb] , Stefan Coors [ctb] , Quay Au [ctb] , Martin Binder [aut], Florian Pfisterer [aut] , Raphael Sonabend [aut] , Lennart Schneider [c [...truncated...]
Maintainer: Michel Lang <michellang@gmail.com>

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Package groundhog updated to version 3.1.0 with previous version 3.0.0 dated 2023-04-20

Title: Version-Control for CRAN, GitHub, and GitLab Packages
Description: Make R scripts reproducible, by ensuring that every time a given script is run, the same version of the used packages are loaded (instead of whichever version the user running the script happens to have installed). This is achieved by using the command groundhog.library() instead of the base command library(), and including a date in the call. The date is used to call on the same version of the package every time (the most recent version available at that date). Load packages from CRAN, GitHub, or Gitlab.
Author: Uri Simonsohn [aut, cre] , Hugo Gruson [ctb, aut]
Maintainer: Uri Simonsohn <urisohn@gmail.com>

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Package ContaminatedMixt updated to version 1.3.8 with previous version 1.3.7 dated 2022-05-10

Title: Clustering and Classification with the Contaminated Normal
Description: Fits mixtures of multivariate contaminated normal distributions (with eigen-decomposed scale matrices) via the expectation conditional- maximization algorithm under a clustering or classification paradigm Methods are described in Antonio Punzo, Angelo Mazza, and Paul D McNicholas (2018) <doi:10.18637/jss.v085.i10>.
Author: Antonio Punzo, Angelo Mazza, Paul D. McNicholas
Maintainer: Angelo Mazza <a.mazza@unict.it>

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Package seeker updated to version 1.1.1 with previous version 1.1.0 dated 2023-03-22

Title: Simplified Fetching and Processing of Microarray and RNA-Seq Data
Description: Wrapper around various existing tools and command-line interfaces, providing a standard interface, simple parallelization, and detailed logging. For microarray data, maps probe sets to standard gene IDs, building on 'GEOquery' Davis and Meltzer (2007) <doi:10.1093/bioinformatics/btm254>, 'ArrayExpress' Kauffmann et al. (2009) <doi:10.1093/bioinformatics/btp354>, Robust multi-array average 'RMA' Irizarry et al. (2003) <doi:10.1093/biostatistics/4.2.249>, and 'BrainArray' Dai et al. (2005) <doi:10.1093/nar/gni179>. For RNA-seq data, fetches metadata and raw reads from National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA), performs standard adapter and quality trimming using 'TrimGalore' Krueger <https://github.com/FelixKrueger/TrimGalore>, performs quality control checks using 'FastQC' Andrews <https://github.com/s-andrews/FastQC>, quantifies transcript abundances using 'salmon' Patro et al. (2017) <doi:10.1038/nmeth.4197& [...truncated...]
Author: Jake Hughey [aut, cre], Josh Schoenbachler [aut]
Maintainer: Jake Hughey <jakejhughey@gmail.com>

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Package arrow updated to version 12.0.0 with previous version 11.0.0.3 dated 2023-03-08

Title: Integration to 'Apache' 'Arrow'
Description: 'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the 'Arrow C++' library.
Author: Neal Richardson [aut], Ian Cook [aut], Nic Crane [aut, cre], Dewey Dunnington [aut] , Romain Francois [aut] , Jonathan Keane [aut], Dragoș Moldovan-Gruenfeld [aut], Jeroen Ooms [aut], Javier Luraschi [ctb], Karl Dunkle Werner [ctb] , Jeffrey Wong [ctb [...truncated...]
Maintainer: Nic Crane <thisisnic@gmail.com>

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 arrow-12.0.0/arrow/R/arrow-object.R                                                     |    2 
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 arrow-12.0.0/arrow/R/arrowExports.R                                                     |   36 
 arrow-12.0.0/arrow/R/csv.R                                                              |   49 
 arrow-12.0.0/arrow/R/dataset-factory.R                                                  |    2 
 arrow-12.0.0/arrow/R/dataset-format.R                                                   |    4 
 arrow-12.0.0/arrow/R/dataset-write.R                                                    |    1 
 arrow-12.0.0/arrow/R/dataset.R                                                          |    2 
 arrow-12.0.0/arrow/R/dplyr-collect.R                                                    |   16 
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 arrow-12.0.0/arrow/R/dplyr-funcs-doc.R                                                  |    4 
 arrow-12.0.0/arrow/R/dplyr-funcs.R                                                      |    2 
 arrow-12.0.0/arrow/R/dplyr-join.R                                                       |    6 
 arrow-12.0.0/arrow/R/dplyr-mutate.R                                                     |    2 
 arrow-12.0.0/arrow/R/dplyr-select.R                                                     |    2 
 arrow-12.0.0/arrow/R/dplyr-summarize.R                                                  |  107 
 arrow-12.0.0/arrow/R/dplyr.R                                                            |   35 
 arrow-12.0.0/arrow/R/duckdb.R                                                           |    3 
 arrow-12.0.0/arrow/R/enums.R                                                            |    4 
 arrow-12.0.0/arrow/R/expression.R                                                       |   55 
 arrow-12.0.0/arrow/R/filesystem.R                                                       |   71 
 arrow-12.0.0/arrow/R/io.R                                                               |   12 
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Package safedata updated to version 1.1.3 with previous version 1.1.2 dated 2022-08-11

Title: Interface to Data from the SAFE Project
Description: The SAFE Project (<https://www.safeproject.net/>) is a large scale ecological experiment in Malaysian Borneo that explores the impact of habitat fragmentation and conversion on ecosystem function and services. Data collected at the SAFE Project is made available under a common format through the Zenodo data repository and this package makes it easy to discover and load that data into R.
Author: Andy Aldersley [aut], David Orme [aut, cre]
Maintainer: David Orme <d.orme@imperial.ac.uk>

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Package pedquant updated to version 0.2.2.1 with previous version 0.2.2 dated 2023-05-04

Title: Public Economic Data and Quantitative Analysis
Description: Provides an interface to access public economic and financial data for economic research and quantitative analysis. The data sources including NBS, FRED, Sina, Eastmoney and etc. It also provides quantitative functions for trading strategies based on the 'data.table', 'TTR', 'PerformanceAnalytics' and etc packages.
Author: Shichen Xie [aut, cre]
Maintainer: Shichen Xie <xie@shichen.name>

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Package askgpt updated to version 0.1.1 with previous version 0.0.2 dated 2023-03-31

Title: Asking GPT About R Stuff
Description: A chat package connecting to API endpoints by 'OpenAI' (<https://platform.openai.com/>) to answer questions (about R).
Author: Johannes Gruber [aut, cre]
Maintainer: Johannes Gruber <johannesb.gruber@gmail.com>

Diff between askgpt versions 0.0.2 dated 2023-03-31 and 0.1.1 dated 2023-05-05

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Package designr updated to version 0.1.13 with previous version 0.1.12 dated 2021-04-22

Title: Balanced Factorial Designs
Description: Generate balanced factorial designs with crossed and nested random and fixed effects <https://github.com/mmrabe/designr>.
Author: Maximilian M. Rabe [aut, cre] , Reinhold Kliegl [aut] , Daniel J. Schad [aut]
Maintainer: Maximilian M. Rabe <maximilian.rabe@uni-potsdam.de>

Diff between designr versions 0.1.12 dated 2021-04-22 and 0.1.13 dated 2023-05-05

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Package cffr updated to version 0.5.0 with previous version 0.4.1 dated 2023-01-30

Title: Generate Citation File Format ('cff') Metadata for R Packages
Description: The Citation File Format version 1.2.0 <doi:10.5281/zenodo.5171937> is a human and machine readable file format which provides citation metadata for software. This package provides core utilities to generate and validate this metadata.
Author: Diego Hernangomez [aut, cre, cph] , Joao Martins [rev] , Scott Chamberlain [rev]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

Diff between cffr versions 0.4.1 dated 2023-01-30 and 0.5.0 dated 2023-05-05

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 cffr-0.5.0/cffr/tests/testthat/test-cff_parse_person.R      |   33 
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Package recosystem updated to version 0.5.1 with previous version 0.5 dated 2021-09-19

Title: Recommender System using Matrix Factorization
Description: R wrapper of the 'libmf' library <https://www.csie.ntu.edu.tw/~cjlin/libmf/> for recommender system using matrix factorization. It is typically used to approximate an incomplete matrix using the product of two matrices in a latent space. Other common names for this task include "collaborative filtering", "matrix completion", "matrix recovery", etc. High performance multi-core parallel computing is supported in this package.
Author: Yixuan Qiu, David Cortes, Chih-Jen Lin, Yu-Chin Juan, Wei-Sheng Chin, Yong Zhuang, Bo-Wen Yuan, Meng-Yuan Yang, and other contributors. See file AUTHORS for details.
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>

Diff between recosystem versions 0.5 dated 2021-09-19 and 0.5.1 dated 2023-05-05

 DESCRIPTION                |   11 -
 MD5                        |   18 +-
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 man/output.Rd              |    2 
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 10 files changed, 227 insertions(+), 114 deletions(-)

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New package tidytlg with initial version 0.1.0
Package: tidytlg
Title: Create TLGs using the 'tidyverse'
Version: 0.1.0
Description: Generate tables, listings, and graphs (TLG) using 'tidyverse.' Tables can be created functionally, using a standard TLG process, or by specifying table and column metadata to create generic analysis summaries. The 'envsetup' package can also be leveraged to create environments for table creation.
License: Apache License 2.0
URL: https://github.com/pharmaverse/tidytlg
BugReports: https://github.com/pharmaverse/tidytlg/issues
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 2.1.0), knitr (>= 1.23), rmarkdown (>= 2.10), renv (>= 0.13.2), shiny (>= 1.3.2), kableExtra (>= 1.3.4), haven (>= 2.4.1), withr (>= 2.3.0), devtools, writexl
Imports: dplyr (>= 1.0.4), tibble (>= 2.1.3), magrittr (>= 1.5), rlang (>= 0.4.10), tidyr (>= 1.0.0), stats (>= 3.6.0), stringr (>= 1.4.0), forcats (>= 0.5.1), purrr (>= 0.3.4), huxtable (>= 5.1.0), assertthat (>= 0.2.1), glue (>= 1.4.2), usethis (>= 1.6.3), crayon (>= 1.4.1), tidyselect (>= 1.1.0), methods, readxl (>= 1.3.1), cellranger (>= 1.1.0), png (>= 0.1-7), ggplot2 (>= 3.3.2), rstudioapi (>= 0.13)
Depends: R (>= 3.6.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-04 13:12:13 UTC; eli.miller
Author: Nicholas Masel [aut], Steven Haesendonckx [aut], Pelagia Alexandra Papadopoulou [aut], Sheng-Wei Wang [aut], Eli Miller [aut, cre] , Nathan Kosiba [aut] , Aidan Ceney [aut] , Janssen R&D [cph, fnd], David Hugh-Jones [cph]
Maintainer: Eli Miller <eli.miller@atorusresearch.com>
Repository: CRAN
Date/Publication: 2023-05-05 09:20:02 UTC

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New package SSplots with initial version 0.1.0
Package: SSplots
Title: Stock Status Plots (SSPs)
Version: 0.1.0
Maintainer: Eldho Varghese <eldhoiasri@gmail.com>
Imports: ggplot2, reshape2, zoo
Description: Pauly et al. (2008) <http://legacy.seaaroundus.s3.amazonaws.com/doc/Researcher+Publications/dpauly/PDF/2008/Books%26Chapters/FisheriesInLargeMarineEcosystems.pdf> created (and coined the name) 'Stock Status Plots' for a UNEP compendium on Large Marine Ecosystems (LMEs, Sherman and Hempel 2008 <https://agris.fao.org/agris-search/search.do?recordID=XF2015036057>). Stock status plots are bivariate graphs summarizing the status (e.g., developing, fully exploited, overexploited, etc.), through time, of the multispecies fisheries of a fished area or ecosystem. This package contains two functions to generate stock status plots viz., SSplots_pauly() (as per the criteria proposed by Pauly et al.,2008) and SSplots_kleisner() (as per the criteria proposed by Kleisner and Pauly (2011) <http://www.ecomarres.com/downloads/regional.pdf> and Kleisner et al. (2013) <doi:10.1111/j.1467-2979.2012.00469.x>).
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Repository: CRAN
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2023-05-04 03:50:56 UTC; Ashutosh
Author: Eldho Varghese [aut, cre], J Jayasankar [aut], Sreepriya V [aut], Reshma Gills [ctb], Ashutosh Dalal [ctb]
Date/Publication: 2023-05-05 09:10:05 UTC

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New package ssifs with initial version 1.0.0
Package: ssifs
Title: Stochastic Search Inconsistency Factor Selection
Version: 1.0.0
Author: Georgios Seitidis [aut, cre] , Stavros Nikolakopoulos [aut] , Ioannis Ntzoufras [aut] , Dimitris Mavridis [aut]
Maintainer: Georgios Seitidis <g.seitidis@uoi.gr>
Description: Evaluating the consistency assumption of Network Meta-Analysis both globally and locally in the Bayesian framework. Inconsistencies are located by applying Bayesian variable selection to the inconsistency factors. The implementation of the method is described by Seitidis et al. (2022) <arXiv:2211.07258>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: ggplot2, gtools, igraph, netmeta, plyr, R2jags, RevEcoR, utils, Rdpack
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/georgiosseitidis/ssifs, https://georgiosseitidis.github.io/ssifs/
BugReports: https://github.com/georgiosseitidis/ssifs/issues
NeedsCompilation: no
Packaged: 2023-05-04 08:55:45 UTC; delse
Repository: CRAN
Date/Publication: 2023-05-05 09:10:02 UTC

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New package shiny.telemetry with initial version 0.1.0
Package: shiny.telemetry
Title: 'Shiny' App Usage Telemetry
Version: 0.1.0
Description: Enables instrumentation of 'Shiny' apps for tracking user session events such as input changes, browser type, and session duration. These events can be sent to any of the available storage backends and analyzed using the included 'Shiny' app to gain insights about app usage and adoption.
URL: https://appsilon.github.io/shiny.telemetry/, https://github.com/Appsilon/shiny.telemetry
BugReports: https://github.com/Appsilon/shiny.telemetry/issues
License: LGPL-3
Encoding: UTF-8
Suggests: box, config, DT, here, lintr, mockery, plotly, plumber, rcmdcheck, RColorBrewer, RMariaDB, RPostgreSQL, scales, semantic.dashboard (>= 0.1.1), shiny.semantic (>= 0.2.0), shinyjs, spelling, stringr, testthat (>= 3.1.7), timevis, withr
Imports: checkmate, digest, dplyr (>= 1.1.0), glue, httr2, jsonlite, logger, lubridate, odbc, purrr, R6, rlang, RSQLite, shiny, tidyr
Language: en-US
NeedsCompilation: no
Packaged: 2023-05-04 09:31:40 UTC; kamil
Author: Kamil Zyla [aut, cre], Andre Verissimo [aut], Krystian Igras [aut], Recle Vibal [aut], Appsilon Sp. z o.o. [cph]
Maintainer: Kamil Zyla <opensource+kamil@appsilon.com>
Repository: CRAN
Date/Publication: 2023-05-05 09:20:05 UTC

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Package scatterplot3d updated to version 0.3-44 with previous version 0.3-43 dated 2023-03-14

Title: 3D Scatter Plot
Description: Plots a three dimensional (3D) point cloud.
Author: Uwe Ligges <ligges@statistik.tu-dortmund.de>, Martin Maechler, Sarah Schnackenberg
Maintainer: Uwe Ligges <ligges@statistik.tu-dortmund.de>

Diff between scatterplot3d versions 0.3-43 dated 2023-03-14 and 0.3-44 dated 2023-05-05

 CHANGES           |    8 +++++---
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 6 files changed, 17 insertions(+), 14 deletions(-)

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New package rfars with initial version 0.3.0
Package: rfars
Title: Download and Analyze Fatal Crash Data
Version: 0.3.0
Description: Download raw data from the Fatality Analysis Reporting System and prepare it for research.
License: CC0
Encoding: UTF-8
LazyData: true
Imports: data.table, downloader, dplyr, haven, janitor, lubridate, magrittr, purrr, readr, rlang, sas7bdat, stringr, tidyr, tidyselect, zoo
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, leaflet, leaflet.extras, ggplot2, scales, stargazer, viridis
VignetteBuilder: knitr
URL: https://github.com/s87jackson/rfars
BugReports: https://github.com/s87jackson/rfars/issues
NeedsCompilation: no
Packaged: 2023-05-04 15:02:45 UTC; s87ja
Author: Steve Jackson [aut, cre]
Maintainer: Steve Jackson <steve.jackson@toxcel.com>
Repository: CRAN
Date/Publication: 2023-05-05 09:40:02 UTC

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New package MixedLevelRSDs with initial version 1.0.0
Package: MixedLevelRSDs
Title: Mixed Level Response Surface Designs
Version: 1.0.0
Maintainer: Ashutosh Dalal <ashutosh.dalal97@gmail.com>
Description: Response Surface Designs (RSDs) involving factors not all at same levels are called Mixed Level RSDs (or Asymmetric RSDs). In many practical situations, RSDs with asymmetric levels will be more suitable as it explores more regions in the design space. (J.S. Mehta and M.N. Das (1968) <doi:10.2307/1267046>. "Asymmetric rotatable designs and orthogonal transformations").This package contains function named ATORDs_I() for generating asymmetric third order rotatable designs (ATORDs) based on third order designs given by Das and Narasimham (1962). Function ATORDs_II() generates asymmetric third order rotatable designs developed using t-design of unequal set sizes, which are smaller in size as compared to design generated by function ATORDs_I(). In general, third order rotatable designs can be classified into two classes viz., designs that are suitable for sequential experimentation and designs for non-sequential experimentation. The sequential experimentation approach involves conduc [...truncated...]
Suggests: TORDs, FrF2, MASS
License: GPL (>= 2)
Encoding: UTF-8
Repository: CRAN
NeedsCompilation: no
Packaged: 2023-05-04 09:21:51 UTC; Ashutosh
Author: Ankita Verma [aut, ctb], Seema Jaggi [aut, ctb], Eldho Varghese [aut, ctb], Ashutosh Dalal [aut, cre], Cini Varghese [aut], Arpan Bhowmik [aut], Anindita Datta [aut]
Date/Publication: 2023-05-05 09:10:07 UTC

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New package hypothesis with initial version 1.0.0
Package: hypothesis
Title: Wrapper for 'hypothes.is'
Version: 1.0.0
Maintainer: Krystian Igras <krystian8207@gmail.com>
Description: Add, share and manage annotations for 'Shiny' applications and R Markdown documents via 'hypothes.is'.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: magrittr, glue, htmlwidgets, jsonlite, htmltools, purrr
Suggests: shiny, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-05-04 14:02:35 UTC; krystiai
Author: Krystian Igras [cre, aut], Adam Forys [ctb], Hypothes.is Project and contributors [cph]
Repository: CRAN
Date/Publication: 2023-05-05 09:30:02 UTC

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New package flps with initial version 0.1.0
Package: flps
Title: Fully-Latent Principal Stratification
Version: 0.1.0
Date: 2023-4-23
Description: Simulation and analysis of Fully-Latent Principal Stratification (FLPS) with measurement models. Sales & Pane (2019). <doi:10.1214/18-AOAS1196>.
License: GPL-3
Imports: rstan, Rcpp (>= 1.0.8.3), methods, mirt, MASS, utils, stats, mvtnorm, ggplot2
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, lavaan, data.table
Encoding: UTF-8
VignetteBuilder: knitr
URL: https://sooyongl.github.io/flps/
NeedsCompilation: no
Packaged: 2023-05-04 12:09:59 UTC; sooyong
Author: Sooyong Lee [aut, cre], Adam Sales [aut], Hyeon-Ah Kang [aut], Tiffany Whittaker [aut]
Maintainer: Sooyong Lee <sooyongl09@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-05 09:20:12 UTC

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New package CopulaGAMM with initial version 0.2.0
Package: CopulaGAMM
Title: Copula-Based Mixed Regression Models
Version: 0.2.0
Description: Estimation of 2-level factor copula-based regression models for clustered data where the response variable can be either discrete or continuous.
Depends: R (>= 3.5.0), stats, statmod, matrixStats
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2023-05-04 13:22:42 UTC; 49009427
Author: Pavel Krupskii [aut, ctb, cph], Bouchra R. Nasri [aut, ctb, cph], Bruno N Remillard [aut, cre, cph]
Maintainer: Bruno N Remillard <bruno.remillard@hec.ca>
Repository: CRAN
Date/Publication: 2023-05-05 09:20:15 UTC

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Package RPresto updated to version 1.4.5 with previous version 1.4.4 dated 2023-03-09

Title: DBI Connector to Presto
Description: Implements a 'DBI' compliant interface to Presto. Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes: <https://prestodb.io/>.
Author: Onur Ismail Filiz [aut], Sergey Goder [aut], Jarod G.R. Meng [aut, cre], Thomas J. Leeper [ctb], John Myles White [ctb]
Maintainer: Jarod G.R. Meng <jarodm@fb.com>

Diff between RPresto versions 1.4.4 dated 2023-03-09 and 1.4.5 dated 2023-05-05

 DESCRIPTION                            |    6 +--
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Package riverconn updated to version 0.3.28 with previous version 0.3.26 dated 2023-03-15

Title: Fragmentation and Connectivity Indices for Riverscapes
Description: Indices for assessing riverscape fragmentation, including the Dendritic Connectivity Index, the Population Connectivity Index, the River Fragmentation Index, the Probability of Connectivity, and the Integral Index of connectivity. For a review, see Jumani et al. (2020) <doi:10.1088/1748-9326/abcb37> and Baldan et al. (2022) <doi:10.1016/j.envsoft.2022.105470> Functions to calculate temporal indices improvement when fragmentation due to barriers is reduced are also included.
Author: Damiano Baldan [aut, cre] , David Cunillera-Montcusi [ctb] , Andrea Funk [ctb]
Maintainer: Damiano Baldan <damiano.baldan91@gmail.com>

Diff between riverconn versions 0.3.26 dated 2023-03-15 and 0.3.28 dated 2023-05-05

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Package rcompanion updated to version 2.4.30 with previous version 2.4.26 dated 2023-04-03

Title: Functions to Support Extension Education Program Evaluation
Description: Functions and datasets to support Summary and Analysis of Extension Program Evaluation in R, and An R Companion for the Handbook of Biological Statistics. Vignettes are available at <http://rcompanion.org>.
Author: Salvatore Mangiafico [aut, cre]
Maintainer: Salvatore Mangiafico <mangiafico@njaes.rutgers.edu>

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New package nncc with initial version 1.0.1
Package: nncc
Title: Nearest Neighbors Matching of Case-Control Data
Version: 1.0.1
Description: Provides nearest-neighbors matching and analysis of case-control data. Cui, Z., Marder, E. P., Click, E. S., Hoekstra, R. M., & Bruce, B. B. (2022) <doi:10.1097/EDE.0000000000001504>.
Depends: R (>= 3.3.2)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: dplyr, furrr, tidyr, igraph, ggplot2, cluster, rlang, mgcv, stats, formula.tools, mice
Suggests: rmarkdown, knitr, future, future.batchtools, survival
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-05-04 23:10:23 UTC; lue7
Author: Beau Bruce [aut, cre], Zhaohui Cui [aut], Georg Heinze [cph] , Meinhard Ploner [cph] , Lena Jiricka [cph]
Maintainer: Beau Bruce <lue7@cdc.gov>
Repository: CRAN
Date/Publication: 2023-05-05 08:20:11 UTC

More information about nncc at CRAN
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Package mlbench updated to version 2.1-3.1 with previous version 2.1-3 dated 2021-01-29

Title: Machine Learning Benchmark Problems
Description: A collection of artificial and real-world machine learning benchmark problems, including, e.g., several data sets from the UCI repository.
Author: Friedrich Leisch and Evgenia Dimitriadou.
Maintainer: Friedrich Leisch <Friedrich.Leisch@R-project.org>

Diff between mlbench versions 2.1-3 dated 2021-01-29 and 2.1-3.1 dated 2023-05-05

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Package jstable updated to version 1.1.0 with previous version 1.0.9 dated 2023-04-08

Title: Create Tables from Different Types of Regression
Description: Create regression tables from generalized linear model(GLM), generalized estimating equation(GEE), generalized linear mixed-effects model(GLMM), Cox proportional hazards model, survey-weighted generalized linear model(svyglm) and survey-weighted Cox model results for publication.
Author: Jinseob Kim [aut, cre] , Zarathu [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package influenceR updated to version 0.1.0.2 with previous version 0.1.0.1 dated 2021-09-25

Title: Software Tools to Quantify Structural Importance of Nodes in a Network
Description: Provides functionality to compute various node centrality measures on networks. Included are functions to compute betweenness centrality (by utilizing Madduri and Bader's SNAP library), implementations of Burt's constraint and effective network size (ENS) metrics, Borgatti's algorithm to identify key players, and Valente's bridging metric. On Unix systems, the betweenness, Key Players, and bridging implementations are parallelized with OpenMP, which may run faster on systems which have OpenMP configured.
Author: Jacobs Simon [aut], Khanna Aditya [aut], Madduri Kamesh [ctb], Bader David [ctb]
Maintainer: ORPHANED

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Package healthyR.data updated to version 1.0.3 with previous version 1.0.2 dated 2023-01-21

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

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New package getspanel with initial version 0.1.4
Package: getspanel
Title: General-to-Specific Modelling of Panel Data
Version: 0.1.4
Date: 2023-05-03
Description: Uses several types of indicator saturation and automated General-to-Specific (GETS) modelling from the 'gets' package and applies it to panel data. This allows the detection of structural breaks in panel data, operationalising a reverse causal approach of causal inference, see Pretis and Schwarz (2022) <doi:10.2139/ssrn.4022745>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/moritzpschwarz/getspanel, http://moritzschwarz.org/getspanel/
BugReports: https://github.com/moritzpschwarz/getspanel/issues
LazyData: true
Suggests: testthat, knitr, rmarkdown, lfe, prettydoc, plm, fixest, lmtest, sandwich
Imports: gets, fastDummies, Matrix, ggplot2, stats, mvtnorm
Depends: R (>= 3.5.0)
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2023-05-03 20:27:58 UTC; morit
Author: Felix Pretis [aut], Moritz Schwarz [aut, cre]
Maintainer: Moritz Schwarz <moritz.schwarz@scmo.eu>
Repository: CRAN
Date/Publication: 2023-05-05 08:50:02 UTC

More information about getspanel at CRAN
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Package file2meco updated to version 0.6.0 with previous version 0.5.0 dated 2022-11-15

Title: Transform Files to 'microtable' Object with 'microeco' Package
Description: Transform output files of some tools to the 'microtable' object of 'microtable' class in 'microeco' package. The 'microtable' class is the basic class in 'microeco' package and is necessary for the downstream microbial community data analysis.
Author: Chi Liu [aut, cre]
Maintainer: Chi Liu <liuchi0426@126.com>

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Package fastclime updated to version 1.4.1.1 with previous version 1.4.1 dated 2016-04-29

Title: A Fast Solver for Parameterized LP Problems, Constrained L1 Minimization Approach to Sparse Precision Matrix Estimation and Dantzig Selector
Description: Provides a method of recovering the precision matrix efficiently and solving for the dantzig selector by applying the parametric simplex method. The computation is based on a linear optimization solver. It also contains a generic LP solver and a parameterized LP solver using parametric simplex method.
Author: Haotian Pang, Di Qi, Han Liu and Robert Vanderbei
Maintainer: ORPHANED

Diff between fastclime versions 1.4.1 dated 2016-04-29 and 1.4.1.1 dated 2023-05-05

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Package CDMConnector updated to version 0.6.0 with previous version 0.5.1 dated 2023-03-22

Title: Connect to an OMOP Common Data Model
Description: Provides tools for working with observational health data in the Observational Medical Outcomes Partnership (OMOP) Common Data Model format with a pipe friendly syntax. Common data model database table references are stored in a single compound object along with metadata.
Author: Adam Black [aut, cre] , Artem Gorbachev [aut], Edward Burn [aut], Marti Catala Sabate [aut]
Maintainer: Adam Black <black@ohdsi.org>

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Package preregr updated to version 0.2.9 with previous version 0.2.8 dated 2023-03-05

Title: Specify (Pre)Registrations and Export Them Human- And Machine-Readably
Description: Preregistrations, or more generally, registrations, enable explicit timestamped and (often but not necessarily publicly) frozen documentation of plans and expectations as well as decisions and justifications. In research, preregistrations are commonly used to clearly document plans and facilitate justifications of deviations from those plans, as well as decreasing the effects of publication bias by enabling identification of research that was conducted but not published. Like reporting guidelines, (pre)registration forms often have specific structures that facilitate systematic reporting of important items. The 'preregr' package facilitates specifying (pre)registrations in R and exporting them to a human-readable format (using R Markdown partials or exporting to an 'HTML' file) as well as human-readable embedded data (using 'JSON'), as well as importing such exported (pre)registration specifications from such embedded 'JSON'.
Author: Gjalt-Jorn Peters [aut, cre] , Szilvia Zoergő [ctb] , Olmo den Akker [ctb] , Aleksandra Lazic [ctb] , Thomas Gueltzow [ctb]
Maintainer: Gjalt-Jorn Peters <preregr@opens.science>

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New package ordinalgmifs with initial version 1.0.8
Package: ordinalgmifs
Version: 1.0.8
Date: 2023-05-01
Title: Ordinal Regression for High-Dimensional Data
Depends: R (>= 4.2.0), survival
Description: Provides a function for fitting cumulative link, adjacent category, forward and backward continuation ratio, and stereotype ordinal response models when the number of parameters exceeds the sample size, using the the generalized monotone incremental forward stagewise method.
License: GPL (>= 2)
Imports: methods
BuildResaveData: best
SystemRequirements: C++11
NeedsCompilation: yes
BuildVignettes: TRUE
LazyData: true
Packaged: 2023-05-04 12:01:04 UTC; archer.43
Author: Kellie J. Archer [aut, cre] , Jiayi Hou [aut], Qing Zhou [aut], Kyle Ferber [aut], John G. Layne [com, ctr], Amanda Gentry [rev]
Maintainer: Kellie J. Archer <archer.43@osu.edu>
Repository: CRAN
Date/Publication: 2023-05-05 07:30:06 UTC

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Package BayesianPlatformDesignTimeTrend updated to version 1.1.0 with previous version 1.0.1 dated 2023-05-02

Title: Simulate and Analyse Bayesian Platform Trial with Time Trend
Description: Simulating the multi-arm multi-stage or platform trial with Bayesian approach using the 'rstan' package, which provides the R interface for the Stan. This package supports fixed ratio and Bayesian adaptive randomization approaches for randomization. Additionally, it allows for the study of time trend problems in platform trials. There are demos available for a multi-arm multi-stage trial with two different null scenarios, as well as for Bayesian trial cutoff screening. The Bayesian adaptive randomisation approaches are described in: Trippa et al. (2012) <doi:10.1200/JCO.2011.39.8420> and Wathen et al. (2017) <doi:10.1177/1740774517692302>. The randomisation algorithm is described in: Zhao W <doi:10.1016/j.cct.2015.06.008>. The analysis methods of time trend effect in platform trial are described in: Saville et al. (2022) <doi:10.1177/17407745221112013> and Bofill Roig et al. (2022) <doi:10.1186/s12874-022-01683-w>.
Author: Ziyan Wang [aut, cre]
Maintainer: Ziyan Wang <zw7g20@soton.ac.uk>

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