Sat, 04 Dec 2021

Package apsimx updated to version 2.2 with previous version 2.0 dated 2021-08-20

Title: Inspect, Read, Edit and Run 'APSIM' "Next Generation" and 'APSIM' Classic
Description: The functions in this package inspect, read, edit and run files for 'APSIM' "Next Generation" ('JSON') and 'APSIM' "Classic" ('XML'). The files with an 'apsim' extension correspond to 'APSIM' Classic (7.x) - Windows only - and the ones with an 'apsimx' extension correspond to 'APSIM' "Next Generation". For more information about 'APSIM' see (<https://www.apsim.info/>) and for 'APSIM' next generation (<https://apsimnextgeneration.netlify.app/>).
Author: Fernando Miguez [aut, cre] (<https://orcid.org/0000-0002-4627-8329>)
Maintainer: Fernando Miguez <femiguez@iastate.edu>

Diff between apsimx versions 2.0 dated 2021-08-20 and 2.2 dated 2021-12-04

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Package rbibutils updated to version 2.2.5 with previous version 2.2.4 dated 2021-10-11

Title: Read 'Bibtex' Files and Convert Between Bibliography Formats
Description: Read and write 'Bibtex' files. Convert between bibliography formats, including 'Bibtex', 'Biblatex', 'PubMed', 'Endnote', and 'Bibentry'. Includes a port of the 'bibutils' utilities by Chris Putnam <https://sourceforge.net/projects/bibutils/>. Supports all bibliography formats and character encodings implemented in 'bibutils'.
Author: Georgi N. Boshnakov [aut, cre] (R port, R code, new C code and modifications to bibutils' C code, conversion to Bibentry (R and C code)), Chris Putman [aut] (src/*, author of the bibutils libraries, https://sourceforge.net/projects/bibutils/), Richard Mathar [ctb] (src/addsout.c), Johannes Wilm [ctb] (src/biblatexin.c, src/bltypes.c)
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

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Package LCCR updated to version 1.3 with previous version 1.2 dated 2021-10-03

Title: Latent Class Capture-Recapture Models
Description: Estimation of latent class models with individual covariates for capture-recapture data. See Forcina and Bartolucci (2021)<arxiv:2106.03811>.
Author: Francesco Bartolucci [aut, cre], Antonio Forcina [aut]
Maintainer: Francesco Bartolucci <francesco.bartolucci@unipg.it>

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Package SSDforR updated to version 1.5.23 with previous version 1.5.22 dated 2021-08-02

Title: Functions to Analyze Single System Data
Description: Functions to visually and statistically analyze single system data.
Author: Charles Auerbach [aut, cre], Wendy Zeitlin [aut]
Maintainer: Charles Auerbach <auerbach@yu.edu>

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Package bhm updated to version 1.17 with previous version 1.16 dated 2020-04-13

Title: Biomarker Threshold Models
Description: Contains tools to fit both predictive and prognostic biomarker effects using biomarker threshold models and continuous threshold models. Evaluate the treatment effect, biomarker effect and treatment-biomarker interaction using probability index measurement. Test for treatment-biomarker interaction using residual bootstrap method.
Author: Bingshu E. Chen
Maintainer: Bingshu E. Chen <bingshu.chen@queensu.ca>

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Package targets updated to version 0.9.0 with previous version 0.8.1 dated 2021-10-26

Title: Dynamic Function-Oriented 'Make'-Like Declarative Workflows
Description: As a pipeline toolkit for Statistics and data science in R, the 'targets' package brings together function-oriented programming and 'Make'-like declarative workflows. It analyzes the dependency relationships among the tasks of a workflow, skips steps that are already up to date, runs the necessary computation with optional parallel workers, abstracts files as R objects, and provides tangible evidence that the results match the underlying code and data. The methodology in this package borrows from GNU 'Make' (2015, ISBN:978-9881443519) and 'drake' (2018, <doi:10.21105/joss.00550>).
Author: William Michael Landau [aut, cre] (<https://orcid.org/0000-0003-1878-3253>), Matthew T. Warkentin [ctb], Samantha Oliver [rev] (<https://orcid.org/0000-0001-5668-1165>), Tristan Mahr [rev] (<https://orcid.org/0000-0002-8890-5116>), Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>

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Package RcppAPT updated to version 0.0.8 with previous version 0.0.7 dated 2021-04-16

Title: 'Rcpp' Interface to the APT Package Manager
Description: The 'APT Package Management System' provides Debian and Debian-derived Linux systems with a powerful system to resolve package dependencies. This package offers access directly from R. This can only work on a system with a suitable 'libapt-pkg-dev' installation so functionality is curtailed if such a library is not found.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package AsyK updated to version 1.5.5 with previous version 1.5.4 dated 2020-02-13

Title: Kernel Density Estimation
Description: A collection of functions related to density estimation by using Chen's (2000) idea. Mean Squared Errors (MSE) are calculated for estimated curves. For this purpose, R functions allow the distribution to be Gamma, Exponential or Weibull. For details see Chen (2000), Scaillet (2004) <doi:10.1080/10485250310001624819> and Khan and Akbar.
Author: Javaria Ahmad Khan, Atif Akbar.
Maintainer: Javaria Ahmad Khan <jakhan0@yahoo.com>

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Package keyholder updated to version 0.1.6 with previous version 0.1.5 dated 2020-05-09

Title: Store Data About Rows
Description: Tools for keeping track of information, named "keys", about rows of data frame like objects. This is done by creating special attribute "keys" which is updated after every change in rows (subsetting, ordering, etc.). This package is designed to work tightly with 'dplyr' package.
Author: Evgeni Chasnovski [aut, cre] (<https://orcid.org/0000-0002-1617-4019>)
Maintainer: Evgeni Chasnovski <evgeni.chasnovski@gmail.com>

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Package Rsagacmd updated to version 0.1.2 with previous version 0.1.1 dated 2021-07-08

Title: Linking R with the Open-Source 'SAGA-GIS' Software
Description: Provides an R scripting interface to the open-source 'SAGA-GIS' (System for Automated Geoscientific Analyses Geographical Information System) software. 'Rsagacmd' dynamically generates R functions for every 'SAGA-GIS' geoprocessing tool based on the user's currently installed 'SAGA-GIS' version. These functions are contained within an S3 object and are accessed as a named list of libraries and tools. This structure facilitates an easier scripting experience by organizing the large number of 'SAGA-GIS' geoprocessing tools (>700) by their respective library. Interactive scripting can fully take advantage of code autocompletion tools (e.g. in 'Rstudio'), allowing for each tools syntax to be quickly recognized. Furthermore, the most common types of spatial data (via the 'raster', 'terra', 'sp', and 'sf' packages) along with non-spatial data are automatically passed from R to the 'SAGA-GIS' command line tool for geoprocessing operations, and the results are loaded as the appropriate R object. Outputs from individual 'SAGA-GIS' tools can also be chained using pipes from the 'magrittr' and 'dplyr' packages to combine complex geoprocessing operations together in a single statement. 'SAGA-GIS' is available under a GPLv2 / LGPLv2 licence from <https://sourceforge.net/projects/saga-gis/> including Windows x86/x64 binaries. SAGA-GIS is also included in Debian/Ubuntu default software repositories and is available for macOS using homebrew (<https://brew.sh/>) from the osgeo/osgeo4mac (<https://github.com/OSGeo/homebrew-osgeo4mac>) formula tap, as well as being bundled within the 'QGIS' application bundle for macOS. Rsagacmd has currently been tested on 'SAGA-GIS' versions from 2.3.1 to 8.0.1 on Windows, Linux and macOS.
Author: Steven Pawley [aut, cre]
Maintainer: Steven Pawley <dr.stevenpawley@gmail.com>

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Package paws.common updated to version 0.3.15 with previous version 0.3.14 dated 2021-10-24

Title: Paws Low-Level Amazon Web Services API
Description: Functions for making low-level API requests to Amazon Web Services <https://aws.amazon.com>. The functions handle building, signing, and sending requests, and receiving responses. They are designed to help build higher-level interfaces to individual services, such as Simple Storage Service (S3).
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>

Diff between paws.common versions 0.3.14 dated 2021-10-24 and 0.3.15 dated 2021-12-04

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Package leidenAlg updated to version 1.0.1 with previous version 1.0.0 dated 2021-11-19

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], Gábor Csárdi [ctb], Tamás Nepusz [ctb], Minh Van Nguyen [ctb], Evan Biederstedt [cre, aut]
Maintainer: Evan Biederstedt <evan.biederstedt@gmail.com>

Diff between leidenAlg versions 1.0.0 dated 2021-11-19 and 1.0.1 dated 2021-12-04

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Package healthyR.ts updated to version 0.1.6 with previous version 0.1.5 dated 2021-11-10

Title: The Time Series Modeling Companion to 'healthyR'
Description: Hospital time series data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative time series hospital data. Some of these include average length of stay, and readmission rates. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.
Author: Steven Sanderson [aut, cre], Steven Sanderson [cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>

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Package fasstr updated to version 0.4.0 with previous version 0.3.3 dated 2021-10-21

Title: Analyze, Summarize, and Visualize Daily Streamflow Data
Description: The Flow Analysis Summary Statistics Tool for R, 'fasstr', provides various functions to tidy and screen daily stream discharge data, calculate and visualize various summary statistics and metrics, and compute annual trending and volume frequency analyses. It features useful function arguments for filtering of and handling dates, customizing data and metrics, and the ability to pull daily data directly from the Water Survey of Canada hydrometric database (<https://collaboration.cmc.ec.gc.ca/cmc/hydrometrics/www/>).
Author: Jon Goetz [aut, cre] (<https://orcid.org/0000-0002-4993-1119>), Carl James Schwarz [aut], Robin Pike [ctb], Province of British Columbia [cph]
Maintainer: Jon Goetz <jon.goetz@gov.bc.ca>

Diff between fasstr versions 0.3.3 dated 2021-10-21 and 0.4.0 dated 2021-12-04

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Package bytescircle updated to version 1.1.2 with previous version 1.1.1 dated 2021-11-21

Title: Statistics About Bytes Contained in a File as a Circle Plot
Description: Shows statistics about bytes contained in a file as a circle graph of deviations from mean in sigma increments. The function can be useful for statistically analyze the content of files in a glimpse: text files are shown as a green centered crown, compressed and encrypted files should be shown as equally distributed variations with a very low CV (sigma/mean), and other types of files can be classified between these two categories depending on their text vs binary content, which can be useful to quickly determine how information is stored inside them (databases, multimedia files, etc).
Author: Roberto S. Galende [aut, cre]
Maintainer: Roberto S. Galende <roberto.s.galende@gmail.com>

Diff between bytescircle versions 1.1.1 dated 2021-11-21 and 1.1.2 dated 2021-12-04

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Package APCI updated to version 1.0.4 with previous version 1.0.3 dated 2021-10-21

Title: A New Age-Period-Cohort Model for Describing and Investigating Inter-Cohort Differences and Life Course Dynamics
Description: It implemented Age-Period-Interaction Model (APC-I Model) proposed in the paper of Liying Luo and James S. Hodges in 2019. A new age-period-cohort model for describing and investigating inter-cohort differences and life course dynamics.
Author: Jiahui Xu [aut, cre], Liying Luo [aut]
Maintainer: Jiahui Xu <jpx5053@psu.edu>

Diff between APCI versions 1.0.3 dated 2021-10-21 and 1.0.4 dated 2021-12-04

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