Fri, 30 Sep 2022

Package wildlifeDI updated to version 0.5.0 with previous version 0.4.1 dated 2021-06-16

Title: Calculate Indices of Dynamic Interaction for Wildlife Tracking Data
Description: Dynamic interaction refers to spatial-temporal associations in the movements of two (or more) animals. This package provides tools for calculating a suite of indices used for quantifying dynamic interaction with wildlife telemetry data. For more information on each of the methods employed see the references within. The package (as of version >= 0.3) also has new tools for automating contact analysis in large tracking datasets. The package draws heavily on the classes and methods developed in the 'adehabitat' packages.
Author: Jed Long [aut, cre]
Maintainer: Jed Long <jed.long@uwo.ca>

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Package depigner updated to version 0.9.0 with previous version 0.8.4 dated 2021-01-11

Title: A Utility Package to Help you Deal with "Pignas"
Description: Pigna [_pìn'n'a_] is the Italian word for pine cone. In jargon, it is used to identify a task which is boring, banal, annoying, painful, frustrating and maybe even with a not so beautiful or rewarding result, just like the obstinate act of trying to challenge yourself in extracting pine nuts from a pine cone, provided that, in the end, you will find at least one inside it. Here you can find a backpack of functions to be used to solve small everyday problems of coding or analyzing (clinical) data, which would be normally solved using quick-and-dirty patches. You will be able to convert 'Hmisc' and 'rms' summary()es into data.frames ready to be rendered by 'pander' and 'knitr'. You can access easy-to-use wrappers to activate essential but useful progress bars (from 'progress') into your loops or functionals. Easy setup and control Telegram's bots (from 'telegram.bot') to send messages or to divert error messages to a Telegram's chat. You also have some utilities helping you in the devel [...truncated...]
Author: Corrado Lanera [aut, cre, cph]
Maintainer: Corrado Lanera <corrado.lanera@gmail.com>

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Package soilDB updated to version 2.7.4 with previous version 2.7.3 dated 2022-08-19

Title: Soil Database Interface
Description: A collection of functions for reading data from USDA-NCSS soil databases.
Author: Dylan Beaudette [aut], Jay Skovlin [aut], Stephen Roecker [aut], Andrew Brown [aut, cre]
Maintainer: Andrew Brown <andrew.g.brown@usda.gov>

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Package RMaCzek updated to version 1.5.0 with previous version 1.4 dated 2022-03-18

Title: Czekanowski's Diagrams
Description: Allows for production of Czekanowski's Diagrams. See K. Bartoszek, A. Vasterlund (2020) <doi:10.2478/bile-2020-0008>.
Author: Albin Vasterlund [aut], Krzysztof Bartoszek [cre, aut, ths], Ying Luo [aut], Piotr Jaskulski [ctb]
Maintainer: Krzysztof Bartoszek <krzbar@protonmail.ch>

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Package RefManageR updated to version 1.4.0 with previous version 1.3.0 dated 2020-11-13

Title: Straightforward 'BibTeX' and 'BibLaTeX' Bibliography Management
Description: Provides tools for importing and working with bibliographic references. It greatly enhances the 'bibentry' class by providing a class 'BibEntry' which stores 'BibTeX' and 'BibLaTeX' references, supports 'UTF-8' encoding, and can be easily searched by any field, by date ranges, and by various formats for name lists (author by last names, translator by full names, etc.). Entries can be updated, combined, sorted, printed in a number of styles, and exported. 'BibTeX' and 'BibLaTeX' '.bib' files can be read into 'R' and converted to 'BibEntry' objects. Interfaces to 'NCBI Entrez', 'CrossRef', and 'Zotero' are provided for importing references and references can be created from locally stored 'PDF' files using 'Poppler'. Includes functions for citing and generating a bibliography with hyperlinks for documents prepared with 'RMarkdown' or 'RHTML'.
Author: Mathew W. McLean [aut, cre]
Maintainer: Mathew W. McLean <mathew.w.mclean@gmail.com>

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Package ndi updated to version 0.1.2 with previous version 0.1.1 dated 2022-08-15

Title: Neighborhood Deprivation Indices
Description: Computes various metrics of socio-economic deprivation and disparity in the United States. Some metrics are considered "spatial" because they consider the values of neighboring (i.e., adjacent) census geographies in their computation, while other metrics are "aspatial" because they only consider the value within each census geography. Two types of aspatial neighborhood deprivation indices (NDI) are available: including: (1) based on Messer et al. (2006) <doi:10.1007/s11524-006-9094-x> and (2) based on Andrews et al. (2020) <doi:10.1080/17445647.2020.1750066> and Slotman et al. (2022) <doi:10.1016/j.dib.2022.108002> who use variables chosen by Roux and Mair (2010) <doi:10.1111/j.1749-6632.2009.05333.x>. Both are a decomposition of multiple demographic characteristics from the U.S. Census Bureau American Community Survey 5-year estimates (ACS-5; 2010 onward). Using data from the ACS-5 (2009 onward), the package can also (1) compute the spatial Racial Isolation Ind [...truncated...]
Author: Ian D. Buller [aut, cre, cph] , NCI [cph, fnd]
Maintainer: Ian D. Buller <ian.buller@nih.gov>

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Package cgmanalysis updated to version 2.7.5 with previous version 2.7.4 dated 2022-09-07

Title: Clean and Analyze Continuous Glucose Monitor Data
Description: This code provides several different functions for cleaning and analyzing continuous glucose monitor data. Currently it works with 'Dexcom', 'iPro 2', 'Diasend', 'Libre', or 'Carelink' data. The cleandata() function takes a directory of CGM data files and prepares them for analysis. cgmvariables() iterates through a directory of cleaned CGM data files and produces a single spreadsheet with data for each file in either rows or columns. The column format of this spreadsheet is compatible with REDCap data upload. cgmreport() also iterates through a directory of cleaned data, and produces PDFs of individual and aggregate AGP plots. Please visit <https://github.com/childhealthbiostatscore/R-Packages/> to download the new-user guide.
Author: Tim Vigers [aut, cre]
Maintainer: Tim Vigers <timothy.vigers@cuanschutz.edu>

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Package slendr updated to version 0.4.0 with previous version 0.3.0 dated 2022-08-19

Title: A Simulation Framework for Spatiotemporal Population Genetics
Description: A framework for simulating spatially explicit genomic data which leverages real cartographic information for programmatic and visual encoding of spatiotemporal population dynamics on real geographic landscapes. Population genetic models are then automatically executed by the 'SLiM' software by Haller et al. (2019) <doi:10.1093/molbev/msy228> behind the scenes, using a custom built-in simulation 'SLiM' script. Additionally, fully abstract spatial models not tied to a specific geographic location are supported, and users can also simulate data from standard, non-spatial, random-mating models. These can be simulated either with the 'SLiM' built-in back-end script, or using an efficient coalescent population genetics simulator 'msprime' by Baumdicker et al. (2022) <doi:10.1093/genetics/iyab229> with a custom-built 'Python' script bundled with the R package. Simulated genomic data is saved in a tree-sequence format and can be loaded, manipulated, and summarised using tree-sequen [...truncated...]
Author: Martin Petr [aut, cre]
Maintainer: Martin Petr <contact@bodkan.net>

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Package connectapi updated to version 0.1.2 with previous version 0.1.1.1 dated 2022-07-21

Title: Utilities for Interacting with the 'RStudio Connect' Server API
Description: Provides a helpful 'R6' class and methods for interacting with the 'RStudio Connect' Server API along with some meaningful utility functions for regular tasks. API documentation varies by 'RStudio Connect' installation and version, but the latest documentation is also hosted publicly at <https://docs.rstudio.com/connect/api/>.
Author: Sean Lopp [aut], Cole Arendt [aut, cre], RStudio PBC [cph, fnd]
Maintainer: Cole Arendt <cole@rstudio.com>

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More information about connectapi at CRAN
Permanent link

Package rdrobust updated to version 2.0.3 with previous version 2.0.2 dated 2022-06-16

Title: Robust Data-Driven Statistical Inference in Regression-Discontinuity Designs
Description: Regression-discontinuity (RD) designs are quasi-experimental research designs popular in social, behavioral and natural sciences. The RD design is usually employed to study the (local) causal effect of a treatment, intervention or policy. This package provides tools for data-driven graphical and analytical statistical inference in RD designs: rdrobust() to construct local-polynomial point estimators and robust confidence intervals for average treatment effects at the cutoff in Sharp, Fuzzy and Kink RD settings, rdbwselect() to perform bandwidth selection for the different procedures implemented, and rdplot() to conduct exploratory data analysis (RD plots).
Author: Sebastian Calonico <sebastian.calonico@columbia.edu>, Matias D. Cattaneo <cattaneo@princeton.edu>, Max H. Farrell <max.farrell@chicagobooth.edu>, Rocio Titiunik <titiunik@princeton.edu>
Maintainer: Sebastian Calonico <sebastian.calonico@columbia.edu>

Diff between rdrobust versions 2.0.2 dated 2022-06-16 and 2.0.3 dated 2022-09-30

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Package cmaRs updated to version 0.1.2 with previous version 0.1.1 dated 2021-11-06

Title: Implementation of the Conic Multivariate Adaptive Regression Splines in R
Description: An implementation of 'Conic Multivariate Adaptive Regression Splines (CMARS)' in R. See Weber et al. (2011) CMARS: a new contribution to nonparametric regression with multivariate adaptive regression splines supported by continuous optimization, <DOI:10.1080/17415977.2011.624770>. It constructs models by using the terms obtained from the forward step of MARS and then estimates parameters by using 'Tikhonov' regularization and conic quadratic optimization. It is possible to construct models for prediction and binary classification. It provides performance measures for the model developed. The package needs the optimisation software 'MOSEK' <https://www.mosek.com/> to construct the models. Please follow the instructions in 'Rmosek' for the installation.
Author: Fatma Yerlikaya-Ozkurt [aut], Ceyda Yazici [aut, cre], Inci Batmaz [aut]
Maintainer: Ceyda Yazici <ceydayazici86@gmail.com>

Diff between cmaRs versions 0.1.1 dated 2021-11-06 and 0.1.2 dated 2022-09-30

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More information about cmaRs at CRAN
Permanent link

Package ggpp updated to version 0.4.5 with previous version 0.4.4 dated 2022-04-10

Title: Grammar Extensions to 'ggplot2'
Description: Extensions to 'ggplot2' respecting the grammar of graphics paradigm. Geometries: geom_table(), geom_plot() and geom_grob() add insets to plots using native data coordinates, while geom_table_npc(), geom_plot_npc() and geom_grob_npc() do the same using "npc" coordinates through new aesthetics "npcx" and "npcy". Statistics: select observations based on 2D density. Positions: radial nudging away from a center point and nudging away from a line or curve; combined stacking and nudging; combined dodging and nudging.
Author: Pedro J. Aphalo [aut, cre] , Kamil Slowikowski [ctb] , Michal Krassowski [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

Diff between ggpp versions 0.4.4 dated 2022-04-10 and 0.4.5 dated 2022-09-30

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More information about ggpp at CRAN
Permanent link

New package tabledown with initial version 0.0.3
Package: tabledown
Title: Create Publication Quality Tables and Plots
Version: 0.0.3
Description: Create publication quality plots and tables for Item Response Theory and Classical Test theory based item analysis, exploratory and confirmatory factor analysis.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/masiraji/tabledown
BugReports: https://github.com/masiraji/tabledown/issues
Language: en-US
Depends: R (>= 2.10)
Imports: psych, MOTE, stats, dplyr, tibble, magrittr, data.table, tidyselect, lavaan, mirt, ggplot2
Suggests: rmarkdown, knitr, markdown, spelling, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2022-09-30 11:12:39 UTC; mushfiqulanwarsiraji
Author: Mushfiqul Anwar Siraji [aut, cre]
Maintainer: Mushfiqul Anwar Siraji <siraji1993@gmail.com>
Repository: CRAN
Date/Publication: 2022-09-30 17:40:02 UTC

More information about tabledown at CRAN
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New package simET with initial version 1.0.0
Package: simET
Title: Evapotranspiration Simulation and Soil Water Balance under Field
Version: 1.0.0
Date: 2022-09-27
Description: Supports the calculation of meteorological characteristics in evapotranspiration research and reference crop evapotranspiration, and offers three models to simulate crop evapotranspiration and soil water balance in the field, including single crop coefficient and dual crop coefficient, as well as the Shuttleworth-Wallace model. These calculations main refer to Allen et al.(1998, ISBN:92-5-104219-5), Teh (2006, ISBN:1-58-112-998-X), and Liu et al.(2006) <doi:10.1016/j.agwat.2006.01.018>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: dplyr, ggplot2, ggpmisc, ggpubr, lubridate, magrittr, plyr, readxl, rlang, stringr, tidyr
NeedsCompilation: no
Packaged: 2022-09-30 00:28:42 UTC; ymhua
Author: Minguo Liu [aut, cre], Huimin Yang [dtc, fnd]
Maintainer: Minguo Liu <liumg@cau.edu.cn>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2022-09-30 17:20:01 UTC

More information about simET at CRAN
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New package JATSdecoder with initial version 1.1
Package: JATSdecoder
Title: A Metadata and Text Extraction and Manipulation Tool Set
Date: 2022-09-26
Version: 1.1
Maintainer: Ingmar Boeschen <ingmar.boeschen@uni-hamburg.de>
Description: Provides a function collection to extract metadata, sectioned text and study characteristics from scientific articles in 'NISO-JATS' format. Articles in PDF format can be converted to 'NISO-JATS' with the 'Content ExtRactor and MINEr' ('CERMINE', <https://github.com/CeON/CERMINE>). For convenience, two functions bundle the extraction heuristics: JATSdecoder() converts 'NISO-JATS'-tagged XML files to a structured list with elements title, author, journal, history, 'DOI', abstract, sectioned text and reference list. study.character() extracts multiple study characteristics like number of included studies, statistical methods used, alpha error, power, statistical results, correction method for multiple testing, software used. An estimation of the involved sample size is performed based on reports within the abstract and the reported degrees of freedom within statistical results. In addition, the package contains some useful functions to process text (text2sentences(), text2num(), ng [...truncated...]
Depends: R (>= 3.1.1)
Imports: utils, stats, NLP, openNLP
License: GPL-3
URL: https://github.com/ingmarboeschen/JATSdecoder
BugReports: https://github.com/ingmarboeschen/JATSdecoder/issues
Language: en-US
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-09-30 07:07:40 UTC; ingmar
Author: Ingmar Boeschen [aut, cre]
Repository: CRAN
Date/Publication: 2022-09-30 17:30:05 UTC

More information about JATSdecoder at CRAN
Permanent link

Package bitmexr updated to version 0.3.2 with previous version 0.3.1 dated 2020-06-27

Title: R Client for BitMEX
Description: A client for cryptocurrency exchange BitMEX <https://www.bitmex.com/> including the ability to obtain historic trade data and place, edit and cancel orders. BitMEX's Testnet and live API are both supported.
Author: Harry Fisher [cre, aut, cph]
Maintainer: Harry Fisher <harryfisher21@gmail.com>

Diff between bitmexr versions 0.3.1 dated 2020-06-27 and 0.3.2 dated 2022-09-30

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 bitmexr-0.3.2/bitmexr/R/bucket_trades.R                                                       |    4 
 bitmexr-0.3.2/bitmexr/R/delete_orders.R                                                       |   10 
 bitmexr-0.3.2/bitmexr/R/edit_order.R                                                          |    6 
 bitmexr-0.3.2/bitmexr/R/execute_order.R                                                       |    6 
 bitmexr-0.3.2/bitmexr/R/general.R                                                             |   10 
 bitmexr-0.3.2/bitmexr/R/trades.R                                                              |    6 
 bitmexr-0.3.2/bitmexr/R/utils.R                                                               |   33 
 bitmexr-0.3.2/bitmexr/README.md                                                               |   27 
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Permanent link

Package BI updated to version 1.1.0 with previous version 1.0.0 dated 2021-05-04

Title: Blinding Assessment Indexes for Randomized, Controlled, Clinical Trials
Description: Generate the James Blinding Index, as described in James et al (1996) <https://pubmed.ncbi.nlm.nih.gov/8841652/> and the Bang Blinding Index, as described in Bang et al (2004) <https://pubmed.ncbi.nlm.nih.gov/15020033/>. These are measures to assess whether or not satisfactory blinding has been maintained in a randomized, controlled, clinical trial. These can be generated for trial subjects, research coordinators and principal investigators, based upon standardized questionnaires that have been administered, to assess whether or not they can correctly guess to which treatment arm (e.g. placebo or treatment) subjects were assigned at randomization.
Author: Marc Schwartz [aut, cre], Nate Mercaldo [aut]
Maintainer: Marc Schwartz <marc_schwartz@me.com>

Diff between BI versions 1.0.0 dated 2021-05-04 and 1.1.0 dated 2022-09-30

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Package censored updated to version 0.1.1 with previous version 0.1.0 dated 2022-06-22

Title: 'parsnip' Engines for Survival Models
Description: Engines for survival models from the 'parsnip' package. These include parametric models (e.g., Jackson (2016) <doi:10.18637/jss.v070.i08>), semi-parametric (e.g., Simon et al (2011) <doi:10.18637/jss.v039.i05>), and tree-based models (e.g., Buehlmann and Hothorn (2007) <doi:10.1214/07-STS242>).
Author: Emil Hvitfeldt [aut] , Hannah Frick [aut, cre] , RStudio [cph, fnd]
Maintainer: Hannah Frick <hannah@rstudio.com>

Diff between censored versions 0.1.0 dated 2022-06-22 and 0.1.1 dated 2022-09-30

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Package tgver updated to version 0.3.0 with previous version 0.2.0 dated 2022-03-08

Title: Turing Geovisualization Engine R package
Description: Turing Geovisualization Engine R package for geospatial visualization and analysis.
Author: Layik Hama [aut, cre] , Lydia France [aut], Nick Barlow [aut], Roly Perera [aut], Roger Beecham [aut] , Nik Lomax [aut]
Maintainer: Layik Hama <l.hama@leeds.ac.uk>

Diff between tgver versions 0.2.0 dated 2022-03-08 and 0.3.0 dated 2022-09-30

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Package resourcer updated to version 1.3.0 with previous version 1.2.1 dated 2022-08-19

Title: Resource Resolver
Description: A resource represents some data or a computation unit. It is described by a URL and credentials. This package proposes a Resource model with "resolver" and "client" classes to facilitate the access and the usage of the resources.
Author: Yannick Marcon [aut, cre] , OBiBa group [cph]
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>

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Package IMD updated to version 1.2.2 with previous version 1.2.1 dated 2022-09-02

Title: Index of Multiple Deprivation Data for the UK
Description: Index of Multiple Deprivation for UK nations at various geographical levels. In England, deprivation data is for Lower Layer Super Output Areas, Middle Layer Super Output Areas, Wards, and Local Authorities based on data from <https://www.gov.uk/government/statistics/english-indices-of-deprivation-2019>. In Wales, deprivation data is for Lower Layer Super Output Areas, Middle Layer Super Output Areas, Wards, and Local Authorities based on data from <https://gov.wales/welsh-index-multiple-deprivation-full-index-update-ranks-2019>. In Scotland, deprivation data is for Data Zones, Intermediate Zones, and Council Areas based on data from <https://simd.scot>. In Northern Ireland, deprivation data is for Super Output Areas and Local Government Districts based on data from <https://www.nisra.gov.uk/statistics/deprivation/northern-ireland-multiple-deprivation-measure-2017-nimdm2017>. The 'IMD' package also provides the composite UK index developed by <https://github. [...truncated...]
Author: Matthew Gwynfryn Thomas [cre, aut, cph], Mike Page [aut]
Maintainer: Matthew Gwynfryn Thomas <matthewgthomas@gmail.com>

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Package decorators updated to version 0.3.0 with previous version 0.1.0 dated 2021-03-22

Title: Extend the Behaviour of a Function without Explicitly Modifying it
Description: A decorator is a function that receives a function, extends its behaviour, and returned the altered function. Any caller that uses the decorated function uses the same interface as it were the original, undecorated function. Decorators serve two primary uses: (1) Enhancing the response of a function as it sends data to a second component; (2) Supporting multiple optional behaviours. An example of the first use is a timer decorator that runs a function, outputs its execution time on the console, and returns the original function's result. An example of the second use is input type validation decorator that during running time tests whether the caller has passed input arguments of a particular class. Decorators can reduce execution time, say by memoization, or reduce bugs by adding defensive programming routines.
Author: Harel Lustiger [aut, cre] , Tidylab [cph, fnd]
Maintainer: Harel Lustiger <tidylab@gmail.com>

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Package vroom updated to version 1.6.0 with previous version 1.5.7 dated 2021-11-30

Title: Read and Write Rectangular Text Data Quickly
Description: The goal of 'vroom' is to read and write data (like 'csv', 'tsv' and 'fwf') quickly. When reading it uses a quick initial indexing step, then reads the values lazily , so only the data you actually use needs to be read. The writer formats the data in parallel and writes to disk asynchronously from formatting.
Author: Jim Hester [aut] , Hadley Wickham [aut] , Jennifer Bryan [aut, cre] , Shelby Bearrows [ctb], https://github.com/mandreyel/ [cph] , Jukka Jylaenki [cph] , Mikkel Joergensen [cph] , RStudio [cph, fnd]
Maintainer: Jennifer Bryan <jenny@rstudio.com>

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Package SpatialRegimes updated to version 1.1 with previous version 1.0 dated 2022-04-02

Title: Spatial Constrained Clusterwise Regression
Description: A collection of functions for estimating spatial regimes, aggregations of neighboring spatial units that are homogeneous in functional terms. The term spatial regime, therefore, should not be understood as a synonym for cluster. More precisely, the term cluster does not presuppose any functional relationship between the variables considered, while the term regime is linked to a regressive relationship underlying the spatial process.
Author: Francesco Vidoli, Roberto Benedetti
Maintainer: Francesco Vidoli <fvidoli@gmail.com>

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Package naijR updated to version 0.5.0 with previous version 0.4.4 dated 2022-08-30

Title: Operations to Ease Data Analyses Specific to Nigeria
Description: A set of convenience functions as well as geographical/political data about Nigeria, aimed at simplifying work with data and information that are specific to the country.
Author: Victor Ordu [aut, cre]
Maintainer: Victor Ordu <victorordu@outlook.com>

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Package IPV updated to version 1.0.0 with previous version 0.2.0 dated 2021-12-14

Title: Item Pool Visualization
Description: Generate plots based on the Item Pool Visualization concept for latent constructs. Item Pool Visualizations are used to display the conceptual structure of a set of items (self-report or psychometric). Dantlgraber, Stieger, & Reips (2019) <doi:10.1177/2059799119884283>.
Author: Nils Petras [aut, cre], Michael Dantlgraber [aut], Ulf-Dietrich Reips [ctb], Matthias Bannert [ctb]
Maintainer: Nils Petras <nils.petras@mailbox.org>

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Package gtsummary updated to version 1.6.2 with previous version 1.6.1 dated 2022-06-22

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

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More information about gtsummary at CRAN
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Package glmtoolbox updated to version 0.1.4 with previous version 0.1.3 dated 2022-04-07

Title: Set of Tools to Data Analysis using Generalized Linear Models
Description: Set of tools to the statistical analysis of data using: (1) normal linear models; (2) generalized linear models; (3) negative binomial regression models as alternative to the Poisson regression models under the presence of overdispersion; (4) beta-binomial and random-cumpled binomial regression models as alternative to the binomial regression models under the presence of overdispersion; (5) Zero-inflated and zero-altered regression models to deal with zero-excess in count data;(6) generalized estimating equations for cluster correlated data.
Author: Luis Hernando Vanegas [aut, cre], Luz Marina Rondon [aut], Gilberto A. Paula [aut]
Maintainer: Luis Hernando Vanegas <lhvanegasp@unal.edu.co>

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More information about glmtoolbox at CRAN
Permanent link

Package bupaR updated to version 0.5.2 with previous version 0.5.1 dated 2022-09-29

Title: Business Process Analysis in R
Description: Comprehensive Business Process Analysis toolkit. Creates S3-class for event log objects, and related handler functions. Imports related packages for filtering event data, computation of descriptive statistics, handling of 'Petri Net' objects and visualization of process maps. See also packages 'edeaR','processmapR', 'eventdataR' and 'processmonitR'.
Author: Gert Janssenswillen [aut, cre], Gerard van Hulzen [ctb], Felix Mannhardt [ctb], Niels Martin [ctb], Greg Van Houdt [ctb]
Maintainer: Gert Janssenswillen <gert.janssenswillen@uhasselt.be>

Diff between bupaR versions 0.5.1 dated 2022-09-29 and 0.5.2 dated 2022-09-30

 DESCRIPTION            |    8 ++++----
 MD5                    |   10 +++++-----
 NEWS.md                |    2 ++
 R/activitylog.R        |   14 +++++++++++++-
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 R/convert_timestamps.R |    6 +++---
 6 files changed, 34 insertions(+), 20 deletions(-)

More information about bupaR at CRAN
Permanent link

Package lookout updated to version 0.1.3 with previous version 0.1.2 dated 2022-08-26

Title: Leave One Out Kernel Density Estimates for Outlier Detection
Description: Outlier detection using leave-one-out kernel density estimates and extreme value theory. The bandwidth for kernel density estimates is computed using persistent homology, a technique in topological data analysis. Using peak-over-threshold method, a generalized Pareto distribution is fitted to the log of leave-one-out kde values to identify outliers.
Author: Sevvandi Kandanaarachchi [aut, cre] , Rob Hyndman [aut] , Chris Fraley [ctb]
Maintainer: Sevvandi Kandanaarachchi <sevvandik@gmail.com>

Diff between lookout versions 0.1.2 dated 2022-08-26 and 0.1.3 dated 2022-09-30

 DESCRIPTION            |   12 ++++----
 MD5                    |   10 +++---
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 6 files changed, 86 insertions(+), 20 deletions(-)

More information about lookout at CRAN
Permanent link

Package hipread updated to version 0.2.3 with previous version 0.2.2 dated 2020-04-29

Title: Read Hierarchical Fixed Width Files
Description: Read hierarchical fixed width files like those commonly used by many census data providers. Also allows for reading of data in chunks, and reading 'gzipped' files without storing the full file in memory.
Author: Greg Freedman Ellis [aut], Derek Burk [aut, cre], Joe Grover [ctb], Mark Padgham [ctb], Hadley Wickham [ctb] , Jim Hester [ctb] , Romain Francois [ctb] , R Core Team [ctb] , RStudio [cph, fnd] , Jukka Jylaenki [ctb, cph] , Mikkel Joergensen [ctb, cph] [...truncated...]
Maintainer: Derek Burk <ipums+cran@umn.edu>

Diff between hipread versions 0.2.2 dated 2020-04-29 and 0.2.3 dated 2022-09-30

 DESCRIPTION               |    9 --
 MD5                       |   14 +--
 NEWS.md                   |    3 
 README.md                 |   80 +++++++++---------
 man/callback.Rd           |  204 +++++++++++++++++++++++-----------------------
 man/hipread-package.Rd    |    4 
 man/hipread_long_yield.Rd |   80 +++++++++---------
 src/RcppExports.cpp       |    5 +
 8 files changed, 202 insertions(+), 197 deletions(-)

More information about hipread at CRAN
Permanent link

Package Rgff updated to version 0.1.6 with previous version 0.1.5 dated 2022-09-23

Title: R Utilities for GFF Files
Description: R utilities for gff files, either general feature format (GFF3) or gene transfer format (GTF) formatted files. This package includes functions for producing summary stats, check for consistency and sorting errors, conversion from GTF to GFF3 format, file sorting, visualization and plotting of feature hierarchy, and exporting user defined feature subsets to SAF format. This tool was developed by the BioinfoGP core facility at CNB-CSIC.
Author: Juan Antonio Garcia-Martin [cre, aut] , Juan Carlos Oliveros [aut, ctb] , Rafael Torres-Perez [aut, ctb]
Maintainer: Juan Antonio Garcia-Martin <ja.garcia@cnb.csic.es>

Diff between Rgff versions 0.1.5 dated 2022-09-23 and 0.1.6 dated 2022-09-30

 DESCRIPTION              |   12 ++++++------
 MD5                      |    8 ++++----
 NEWS.md                  |    4 ++++
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 inst/doc/Using_Rgff.html |   10 +++++-----
 5 files changed, 28 insertions(+), 30 deletions(-)

More information about Rgff at CRAN
Permanent link

New package poems with initial version 1.0.4
Package: poems
Title: Pattern-Oriented Ensemble Modeling System
Version: 1.0.4
Description: The poems package provides a framework of interoperable R6 classes (Chang, 2020, <https://CRAN.R-project.org/package=R6>) for building ensembles of viable models via the pattern-oriented modeling (POM) approach (Grimm et al., 2005, <doi:10.1126/science.1116681>). The package includes classes for encapsulating and generating model parameters, and managing the POM workflow. The workflow includes: model setup; generating model parameters via Latin hyper-cube sampling (Iman & Conover, 1980, <doi:10.1080/03610928008827996>); running multiple sampled model simulations; collating summary results; and validating and selecting an ensemble of models that best match known patterns. By default, model validation and selection utilizes an approximate Bayesian computation (ABC) approach (Beaumont et al., 2002, <doi:10.1093/genetics/162.4.2025>), although alternative user-defined functionality could be employed. The package includes a spatially explicit demographic populati [...truncated...]
Depends: R (>= 3.6.0)
License: GPL-3
URL: https://github.com/GlobalEcologyLab/poems
Encoding: UTF-8
LazyData: true
Imports: abc (>= 2.1), doParallel (>= 1.0.16), foreach (>= 1.5.1), gdistance (>= 1.3.6), geosphere (>= 1.5.10), lhs (>= 1.1.1), metRology (>= 0.9.28.1), R6 (>= 2.5.0), raster (>= 3.4.5), trend (>= 1.1.4)
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-09-29 22:26:10 UTC; sean
Author: Sean Haythorne [aut, cre], Damien Fordham [aut], Stuart Brown [aut], Jessie Buettel [aut], Barry Brook [aut]
Maintainer: Sean Haythorne <sean.haythorne@unimelb.edu.au>
Repository: CRAN
Date/Publication: 2022-09-30 10:10:02 UTC

More information about poems at CRAN
Permanent link

Package mind updated to version 1.0.0 with previous version 0.1.6-1 dated 2022-04-12

Title: Multivariate Model Based Inference for Domains
Description: Allows users to produce estimates and MSE for multivariate variables using Linear Mixed Model. The package follows the approach of Datta, Day and Basawa (1999) <doi:10.1016/S0378-3758(98)00147-5>.
Author: Michele D'Alo' [aut], Stefano Falorsi [aut], Andrea Fasulo [aut, cre]
Maintainer: Andrea Fasulo <fasulo@istat.it>

Diff between mind versions 0.1.6-1 dated 2022-04-12 and 1.0.0 dated 2022-09-30

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More information about mind at CRAN
Permanent link

Package timeDate updated to version 4021.106 with previous version 4021.104 dated 2022-07-19

Title: Rmetrics - Chronological and Calendar Objects
Description: The 'timeDate' class fulfils the conventions of the ISO 8601 standard as well as of the ANSI C and POSIX standards. Beyond these standards it provides the "Financial Center" concept which allows to handle data records collected in different time zones and mix them up to have always the proper time stamps with respect to your personal financial center, or alternatively to the GMT reference time. It can thus also handle time stamps from historical data records from the same time zone, even if the financial centers changed day light saving times at different calendar dates.
Author: Diethelm Wuertz [aut] , Tobias Setz [aut], Yohan Chalabi [aut], Martin Maechler [ctb] , Joe W. Byers [ctb], Georgi N. Boshnakov [cre, ctb]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

Diff between timeDate versions 4021.104 dated 2022-07-19 and 4021.106 dated 2022-09-30

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More information about timeDate at CRAN
Permanent link

Package rAmCharts updated to version 2.1.15 with previous version 2.1.13 dated 2019-12-06

Title: JavaScript Charts Tool
Description: Provides an R interface for using 'AmCharts' Library. Based on 'htmlwidgets', it provides a global architecture to generate 'JavaScript' source code for charts. Most of classes in the library have their equivalent in R with S4 classes; for those classes, not all properties have been referenced but can easily be added in the constructors. Complex properties (e.g. 'JavaScript' object) can be passed as named list. See examples at <https://datastorm-open.github.io/introduction_ramcharts/> and <https://www.amcharts.com/> for more information about the library. The package includes the free version of 'AmCharts' Library. Its only limitation is a small link to the web site displayed on your charts. If you enjoy this library, do not hesitate to refer to this page <https://www.amcharts.com/online-store/> to purchase a licence, and thus support its creators and get a period of Priority Support. See also <https://www.amcharts.com/about/> for more information about 'AmChart [...truncated...]
Author: Benoit Thieurmel [aut, cre], Antanas Marcelionis [aut, cph]
Maintainer: Benoit Thieurmel <bthieurmel@gmail.com>

Diff between rAmCharts versions 2.1.13 dated 2019-12-06 and 2.1.15 dated 2022-09-30

 DESCRIPTION                                                            |   32 
 MD5                                                                    |  566 
 NAMESPACE                                                              |    2 
 R/amChartsAPI.R                                                        |    4 
 R/base_data.R                                                          |    4 
 R/base_startupMessage.R                                                |    2 
 R/chart_amBarplot.R                                                    |    5 
 R/chart_amBoxplot.R                                                    |  100 
 R/chart_amBullet.R                                                     |    2 
 R/chart_amCandlestick.R                                                |    2 
 R/chart_amFloatingBar.R                                                |    5 
 R/chart_amFunnel.R                                                     |    2 
 R/chart_amGauge.R                                                      |    5 
 R/chart_amHist.R                                                       |    2 
 R/chart_amMekko.R                                                      |    2 
 R/chart_amOHLC.R                                                       |    2 
 R/chart_amPie.R                                                        |    4 
 R/chart_amPlot.R                                                       |    4 
 R/chart_amRadar.R                                                      |    7 
 R/chart_amTimeSeries.R                                                 |   48 
 R/chart_amWaterfall.R                                                  |    2 
 R/chart_amWind.R                                                       |    4 
 R/class_AmBalloon.R                                                    |    4 
 R/class_AmChart.R                                                      |   13 
 R/class_AmChart_constructors.R                                         |   16 
 R/class_AmChart_setters.R                                              |   64 
 R/class_AmLegend.R                                                     |    6 
 R/class_AmObject.R                                                     |   20 
 R/class_AmStockChart.R                                                 |   11 
 R/class_AmStockChart_setters.R                                         |   34 
 R/class_CategoryAxis.R                                                 |    2 
 R/class_StockPanel.R                                                   |    2 
 R/shiny_modules_timeSeries.R                                           |  189 
 R/union_AmCharts.R                                                     |    6 
 R/utils.R                                                              |    8 
 R/utils_amOptions.R                                                    |    2 
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 inst/api/lib/html5shiv.min.js                                          |    6 
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 inst/htmlwidgets/lib/xy.js                                             |   82 
 man/AmBalloon-class.Rd                                                 |   92 
 man/AmBalloon.Rd                                                       |  154 
 man/AmChart-class.Rd                                                   |  276 
 man/AmGraph-class.Rd                                                   |   78 
 man/AmGraph.Rd                                                         |  194 
 man/AmLegend-class.Rd                                                  |   62 
 man/AmObject-class.Rd                                                  |   48 
 man/AmStockChart-class.Rd                                              |  112 
 man/AmStockChart.Rd                                                    |  604 
 man/AxisBase-class.Rd                                                  |   54 
 man/CategoryAxis-class.Rd                                              |   66 
 man/ChartCursor-class.Rd                                               |   74 
 man/ChartScrollbar-class.Rd                                            |   70 
 man/DataSet-class.Rd                                                   |   80 
 man/DataSet.Rd                                                         |  188 
 man/DataSetSelector-class.Rd                                           |   66 
 man/DataSetSelector.Rd                                                 |   82 
 man/GaugeArrow-class.Rd                                                |   62 
 man/GaugeArrow.Rd                                                      |  106 
 man/GaugeAxis-class.Rd                                                 |   60 
 man/GaugeAxis.Rd                                                       |  118 
 man/GaugeBand-class.Rd                                                 |   60 
 man/GaugeBand.Rd                                                       |   88 
 man/Guide-class.Rd                                                     |   74 
 man/Label-class.Rd                                                     |   70 
 man/Label.Rd                                                           |  146 
 man/PeriodSelector-class.Rd                                            |   66 
 man/StockEvent-class.Rd                                                |   68 
 man/StockPanel-class.Rd                                                |  272 
 man/Title-class.Rd                                                     |   64 
 man/Title.Rd                                                           |   96 
 man/TrendLine-class.Rd                                                 |   92 
 man/TrendLine.Rd                                                       |  244 
 man/ValueAxis-class.Rd                                                 |   72 
 man/add_animate_dependency.Rd                                          |   34 
 man/add_dataloader_dependency.Rd                                       |   34 
 man/add_export_dependency.Rd                                           |   36 
 man/add_responsive_dependency.Rd                                       |   34 
 man/add_theme_dependency.Rd                                            |   60 
 man/amAngularGauge.Rd                                                  |  150 
 man/amBarplot.Rd                                                       |  327 
 man/amBoxplot.Rd                                                       |  312 
 man/amBullet.Rd                                                        |  162 
 man/amCandlestick.Rd                                                   |  212 
 man/amChartsAPI.Rd                                                     |   50 
 man/amChartsOutput.Rd                                                  |   40 
 man/amFloatingBar.Rd                                                   |  305 
 man/amFunnel.Rd                                                        |  152 
 man/amHist.Rd                                                          |  204 
 man/amLines.Rd                                                         |  134 
 man/amMekko.Rd                                                         |  138 
 man/amOHLC.Rd                                                          |  188 
 man/amOptions.Rd                                                       |  258 
 man/amPie.Rd                                                           |  110 
 man/amPlot.Rd                                                          |  424 
 man/amRadar.Rd                                                         |  165 
 man/amSolidGauge.Rd                                                    |  175 
 man/amStockMultiSet.Rd                                                 |  162 
 man/amTimeSeries.Rd                                                    |  592 
 man/amWaterfall.Rd                                                     |   98 
 man/amWind.Rd                                                          |  102 
 man/amcharts-setters.Rd                                                |   80 
 man/api.Rd                                                             |   40 
 man/controlShinyPlot.Rd                                                |   38 
 man/data_AirPassengers.Rd                                              |   36 
 man/data_bar.Rd                                                        |   40 
 man/data_candleStick1.Rd                                               |   46 
 man/data_candleStick2.Rd                                               |   46 
 man/data_fbar.Rd                                                       |   44 
 man/data_funnel.Rd                                                     |   38 
 man/data_gantt.Rd                                                      |   44 
 man/data_gbar.Rd                                                       |   46 
 man/data_gdp.Rd                                                        |   42 
 man/data_mekko.Rd                                                      |   38 
 man/data_pie.Rd                                                        |   38 
 man/data_radar.Rd                                                      |   44 
 man/data_stock1.Rd                                                     |   38 
 man/data_stock_2.Rd                                                    |   38 
 man/data_stock_3.Rd                                                    |   44 
 man/data_waterfall.Rd                                                  |   42 
 man/data_wind.Rd                                                       |   40 
 man/getCurrentStockData.Rd                                             |  125 
 man/getTransformTS.Rd                                                  |  141 
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 man/initialize-Guide.Rd                                                |  104 
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 man/initialize-ValueAxis.Rd                                            |   74 
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 man/methods-AmObject.Rd                                                |  164 
 man/plot.AmChart.Rd                                                    |   54 
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 man/renderAmCharts.Rd                                                  |   38 
 man/runExamples.Rd                                                     |   34 
 man/shared-generics.Rd                                                 |  158 
 man/show-AmChart-method.Rd                                             |   34 
 man/show-AmObject-method.Rd                                            |   40 
 man/show-AmStockChart-method.Rd                                        |   34 
 man/stockGraph.Rd                                                      |   74 
 man/stockLegend.Rd                                                     |   58 
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Package autohrf updated to version 1.0.4 with previous version 1.0.3 dated 2022-07-21

Title: Automated Generation of Data-Informed GLM Models in Task-Based fMRI Data Analysis
Description: Analysis of task-related functional magnetic resonance imaging (fMRI) activity at the level of individual participants is commonly based on general linear modelling (GLM) that allows us to estimate to what extent the blood oxygenation level dependent (BOLD) signal can be explained by task response predictors specified in the GLM model. The predictors are constructed by convolving the hypothesised timecourse of neural activity with an assumed hemodynamic response function (HRF). To get valid and precise estimates of task response, it is important to construct a model of neural activity that best matches actual neuronal activity. The construction of models is most often driven by predefined assumptions on the components of brain activity and their duration based on the task design and specific aims of the study. However, our assumptions about the onset and duration of component processes might be wrong and can also differ across brain regions. This can result in inappropriate or suboptim [...truncated...]
Author: Jure Demsar [cre, aut], Nina Purg [aut], Grega Repovs [aut]
Maintainer: Jure Demsar <jure.demsar@fri.uni-lj.si>

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Package breakaway (with last version 4.7.9) was removed from CRAN

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

2022-03-09 4.7.9

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Package restrictedMVN (with last version 1.0) was removed from CRAN

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

2016-12-27 1.0

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Package SIMPLE.REGRESSION updated to version 0.1.5 with previous version 0.1.4 dated 2022-02-27

Title: Multiple Regression and Moderated Regression Made Simple
Description: Provides SPSS- and SAS-like output for least squares multiple regression and moderated regression, as well as interaction plots and Johnson-Neyman regions of significance for interactions. The output includes standardized coefficients, partial and semi-partial correlations, collinearity diagnostics, plots of residuals, and detailed information about simple slopes for interactions. There are numerous options for designing interaction plots, including plots of interactions for both lm and lme models.
Author: Brian P. O'Connor
Maintainer: Brian P. O'Connor <brian.oconnor@ubc.ca>

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Package tardis updated to version 0.1.3 with previous version 0.1.2 dated 2022-09-29

Title: Text Analysis with Rules and Dictionaries for Inferring Sentiment
Description: Measure text's sentiment with dictionaries and simple rules covering negations and modifiers. User-supplied dictionaries are supported, including Unicode emojis and multi-word tokens, so this package can also be used to study constructs beyond sentiment.
Author: Christopher Belanger [aut, cre, cph]
Maintainer: Christopher Belanger <christopher.a.belanger@gmail.com>

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New package openxlsx2 with initial version 0.3
Package: openxlsx2
Title: Read, Write and Edit 'xlsx' Files
Version: 0.3
Language: en-US
Description: Simplifies the creation of 'xlsx' files by providing a high level interface to writing, styling and editing worksheets.
License: MIT + file LICENSE
URL: https://github.com/JanMarvin/openxlsx2
BugReports: https://github.com/JanMarvin/openxlsx2/issues
Depends: R (>= 3.4.0)
Imports: R6, Rcpp, grDevices, magrittr, stringi, utils, zip
LinkingTo: Rcpp
Suggests: covr, ggplot2, knitr, rmarkdown, roxygen2, testthat (>= 3.0.0), waldo
VignetteBuilder: knitr
Encoding: UTF-8
Config/testthat/parallel: true
Config/testthat/start-first: read_sources
NeedsCompilation: yes
Packaged: 2022-09-29 15:29:57 UTC; janmarvingarbuszus
Author: Jordan Mark Barbone [aut] , Jan Marvin Garbuszus [aut, cre], openxlsx authors [cph] , Arseny Kapoulkine [ctb, cph]
Maintainer: Jan Marvin Garbuszus <jan.garbuszus@ruhr-uni-bochum.de>
Repository: CRAN
Date/Publication: 2022-09-30 07:40:02 UTC

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New package mlmtools with initial version 1.0.1
Package: mlmtools
Title: Multi-Level Model Assessment Kit
Version: 1.0.1
Maintainer: Laura Jamison <lj5yn@virginia.edu>
Description: Multilevel models (mixed effects models) are the statistical tool of choice for analyzing multilevel data (Searle et al, 2009). These models account for the correlated nature of observations within higher level units by adding group-level error terms that augment the singular residual error of a standard OLS regression. Multilevel and mixed effects models often require specialized data pre-processing and further post-estimation derivations and graphics to gain insight into model results. The package presented here, 'mlmtools', is a suite of pre- and post-estimation tools for multilevel models in 'R'. Package implements post-estimation tools designed to work with models estimated using 'lme4''s (Bates et al., 2014) lmer() function, which fits linear mixed effects regression models. Searle, S. R., Casella, G., & McCulloch, C. E. (2009, ISBN:978-0470009598). Bates, D., Mächler, M., Bolker, B., & Walker, S. (2014) <doi:10.18637/jss.v067.i01>.
Depends: R (>= 3.5.0)
Imports: lme4,stats,ggplot2
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-09-29 13:27:36 UTC; golinolab
Author: Laura Jamison [aut, cre], Jessica Mazen [aut], Erik Ruzek [aut], Gus Sjobeck [ctb]
Repository: CRAN
Date/Publication: 2022-09-30 07:30:02 UTC

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Package leidenAlg updated to version 1.0.5 with previous version 1.0.4 dated 2022-09-25

Title: Implements the Leiden Algorithm via an R Interface
Description: An R interface to the Leiden algorithm, an iterative community detection algorithm on networks. The algorithm is designed to converge to a partition in which all subsets of all communities are locally optimally assigned, yielding communities guaranteed to be connected. The implementation proves to be fast, scales well, and can be run on graphs of millions of nodes (as long as they can fit in memory). The original implementation was constructed as a python interface "leidenalg" found here: <https://github.com/vtraag/leidenalg>. The algorithm was originally described in Traag, V.A., Waltman, L. & van Eck, N.J. "From Louvain to Leiden: guaranteeing well-connected communities". Sci Rep 9, 5233 (2019) <doi:10.1038/s41598-019-41695-z>.
Author: Peter Kharchenko [aut], Viktor Petukhov [aut], V.A. Traag [ctb], Gabor Csardi [ctb], Tamas Nepusz [ctb], Minh Van Nguyen [ctb], Evan Biederstedt [cre, aut]
Maintainer: Evan Biederstedt <evan.biederstedt@gmail.com>

Diff between leidenAlg versions 1.0.4 dated 2022-09-25 and 1.0.5 dated 2022-09-30

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Package ipumsr updated to version 0.5.1 with previous version 0.5.0 dated 2022-06-04

Title: Read 'IPUMS' Extract Files
Description: An easy way to import census, survey and geographic data provided by 'IPUMS' into R plus tools to help use the associated metadata to make analysis easier. 'IPUMS' data describing 1.4 billion individuals drawn from over 750 censuses and surveys is available free of charge from our website <https://www.ipums.org>.
Author: Greg Freedman Ellis [aut], Derek Burk [aut, cre], Joe Grover [ctb], Finn Roberts [ctb], Dan Ehrlich [ctb], Renae Rodgers [ctb], Minnesota Population Center [cph]
Maintainer: Derek Burk <ipums+cran@umn.edu>

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Package conos updated to version 1.4.9 with previous version 1.4.8 dated 2022-09-26

Title: Clustering on Network of Samples
Description: Wires together large collections of single-cell RNA-seq datasets, which allows for both the identification of recurrent cell clusters and the propagation of information between datasets in multi-sample or atlas-scale collections. 'Conos' focuses on the uniform mapping of homologous cell types across heterogeneous sample collections. For instance, users could investigate a collection of dozens of peripheral blood samples from cancer patients combined with dozens of controls, which perhaps includes samples of a related tissue such as lymph nodes. This package interacts with data available through the 'conosPanel' package, which is available in a 'drat' repository. To access this data package, see the instructions at <https://github.com/kharchenkolab/conos>. The size of the 'conosPanel' package is approximately 12 MB.
Author: Viktor Petukhov [aut], Nikolas Barkas [aut], Peter Kharchenko [aut], Weiliang Qiu [ctb], Evan Biederstedt [aut, cre]
Maintainer: Evan Biederstedt <evan.biederstedt@gmail.com>

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New package api2lm with initial version 0.1.4
Package: api2lm
Title: Functions and Data Sets for the Book "A Progressive Introduction to Linear Models"
Version: 0.1.4
Author: Joshua P. French
Maintainer: Joshua P. French <joshua.french@ucdenver.edu>
Description: Simplifies aspects of linear regression analysis, particularly simultaneous inference. Additionally, supports "A Progressive Introduction to Linear Models" by Joshua French (<https://jfrench.github.io/LinearRegression/>).
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0), ggplot2, knitr
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2022-09-27 18:19:53 UTC; frencjos
Repository: CRAN
Date/Publication: 2022-09-30 07:40:09 UTC

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Package WINS updated to version 1.3.2 with previous version 1.3 dated 2022-09-09

Title: The R WINS Package
Description: Calculate the win statistics (win ratio, net benefit and win odds) for prioritized multiple endpoints, plot the win statistics and win proportions over study time if at least one time-to-event endpoint is analyzed, and simulate datasets with dependent endpoints. The package can handle any type of outcomes (continuous, ordinal, binary, time-to-event) and allow users to perform stratified analysis and inverse probability of censoring weighting (IPCW) analysis.
Author: Ying Cui [aut, cre], Bo Huang [aut]
Maintainer: Ying Cui <cuiyingbeicheng@gmail.com>

Diff between WINS versions 1.3 dated 2022-09-09 and 1.3.2 dated 2022-09-30

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Package Unicode updated to version 15.0.0-1 with previous version 14.0.0-1 dated 2021-09-21

Title: Unicode Data and Utilities
Description: Data from Unicode 15.0.0 and related utilities.
Author: Kurt Hornik [aut, cre]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between Unicode versions 14.0.0-1 dated 2021-09-21 and 15.0.0-1 dated 2022-09-30

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Package ISOcodes updated to version 2022.09.29 with previous version 2022.01.10 dated 2022-01-10

Title: Selected ISO Codes
Description: ISO language, territory, currency, script and character codes. Provides ISO 639 language codes, ISO 3166 territory codes, ISO 4217 currency codes, ISO 15924 script codes, and the ISO 8859 character codes as well as the UN M.49 area codes.
Author: Christian Buchta [aut], Kurt Hornik [aut, cre]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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