Mon, 30 Jan 2023

Package MazamaTimeSeries updated to version 0.2.10 with previous version 0.2.8 dated 2022-10-13

Title: Core Functionality for Environmental Time Series
Description: Utility functions for working with environmental time series data from known locations. The compact data model is structured as a list with two dataframes. A 'meta' dataframe contains spatial and measuring device metadata associated with deployments at known locations. A 'data' dataframe contains a 'datetime' column followed by columns of measurements associated with each "device-deployment". Ephemerides calculations are based on code originally found in NOAA's "Solar Calculator" <https://gml.noaa.gov/grad/solcalc/>.
Author: Jonathan Callahan [aut, cre], Hans Martin [ctb], Eli Grosman [ctb], Roger Bivand [ctb], Sebastian Luque [ctb]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

Diff between MazamaTimeSeries versions 0.2.8 dated 2022-10-13 and 0.2.10 dated 2023-01-30

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Package lmeresampler updated to version 0.2.3 with previous version 0.2.2 dated 2022-04-29

Title: Bootstrap Methods for Nested Linear Mixed-Effects Models
Description: Bootstrap routines for nested linear mixed effects models fit using either 'lme4' or 'nlme'. The provided 'bootstrap()' function implements the parametric, residual, cases, random effect block (REB), and wild bootstrap procedures. An overview of these procedures can be found in Van der Leeden et al. (2008) <doi: 10.1007/978-0-387-73186-5_11>, Carpenter, Goldstein & Rasbash (2003) <doi: 10.1111/1467-9876.00415>, and Chambers & Chandra (2013) <doi: 10.1080/10618600.2012.681216>.
Author: Adam Loy [aut, cre] , Spenser Steele [aut], Jenna Korobova [aut]
Maintainer: Adam Loy <loyad01@gmail.com>

Diff between lmeresampler versions 0.2.2 dated 2022-04-29 and 0.2.3 dated 2023-01-30

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Package EasyMx updated to version 0.3-2 with previous version 0.2-12 dated 2020-01-30

Title: Easy Model-Builder Functions for 'OpenMx'
Description: Utilities for building certain kinds of common matrices and models in the extended structural equation modeling package, 'OpenMx'.
Author: Michael D. Hunter [aut, cre] , Joshua N. Pritikin [ctb]
Maintainer: Michael D. Hunter <mhunter.ou@gmail.com>

Diff between EasyMx versions 0.2-12 dated 2020-01-30 and 0.3-2 dated 2023-01-30

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Package cffr updated to version 0.4.1 with previous version 0.4.0 dated 2022-11-17

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>

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Package CAMAN updated to version 0.76 with previous version 0.75 dated 2022-04-16

Title: Finite Mixture Models and Meta-Analysis Tools - Based on C.A.MAN
Description: Tools for the analysis of finite semiparametric mixtures. These are useful when data is heterogeneous, e.g. in pharmacokinetics or meta-analysis. The NPMLE and VEM algorithms (flexible support size) and EM algorithms (fixed support size) are provided for univariate (Bohning et al., 1992; <doi:10.2307/2532756>) and bivariate data (Schlattmann et al., 2015; <doi:10.1016/j.jclinepi.2014.08.013>).
Author: Peter Schlattmann <peter.schlattmann@mti.uni-jena.de>, Johannes Hoehne, Maryna Verba
Maintainer: Philipp Doebler <philipp.doebler@googlemail.com>

Diff between CAMAN versions 0.75 dated 2022-04-16 and 0.76 dated 2023-01-30

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Package MultiscaleDTM updated to version 0.5.5 with previous version 0.5.3 dated 2022-10-04

Title: Multi-Scale Geomorphometric Terrain Attributes
Description: Calculates multi-scale geomorphometric terrain attributes from regularly gridded digital terrain models using a variable focal windows size (Misiuk et al. (2021) <doi:10.1080/01490419.2021.1925789>; Wilson et al. (2007) <doi:10.1080/01490410701295962>; Wood (1996) <https://hdl.handle.net/2381/34503>).
Author: Alexander Ilich [aut, cre] , Vincent Lecours [aut], Benjamin Misiuk [aut], Steven Murawski [aut]
Maintainer: Alexander Ilich <ailich@usf.edu>

Diff between MultiscaleDTM versions 0.5.3 dated 2022-10-04 and 0.5.5 dated 2023-01-30

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Package happign updated to version 0.1.8 with previous version 0.1.7 dated 2022-11-18

Title: R Interface to 'IGN' Web Services
Description: Interface to easily access the National Institute of Geographic and Forestry Information open-source data from Geoservice website for any area of interest in France via WFS (shapefile) and WMS (raster) web services <https://geoservices.ign.fr/services-web-experts>.
Author: Paul Carteron [aut, cre]
Maintainer: Paul Carteron <carteronpaul@gmail.com>

Diff between happign versions 0.1.7 dated 2022-11-18 and 0.1.8 dated 2023-01-30

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Package GLCMTextures updated to version 0.3.7 with previous version 0.3.6 dated 2022-10-05

Title: GLCM Textures of Raster Layers
Description: Calculates grey level co-occurrence matrix (GLCM) based texture measures (Hall-Beyer (2017) <https://prism.ucalgary.ca/bitstream/handle/1880/51900/texture%20tutorial%20v%203_0%20180206.pdf>; Haralick et al. (1973) <doi:10.1109/TSMC.1973.4309314>) of raster layers using a sliding rectangular window. It also includes functions to quantize a raster into grey levels as well as tabulate a glcm and calculate glcm texture metrics for a matrix.
Author: Alexander Ilich [aut, cre]
Maintainer: Alexander Ilich <ailich@usf.edu>

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Package rPref updated to version 1.4.0 with previous version 1.3 dated 2019-02-16

Title: Database Preferences and Skyline Computation
Description: Routines to select and visualize the maxima for a given strict partial order. This especially includes the computation of the Pareto frontier, also known as (Top-k) Skyline operator (see Börzsönyi, et al. (2001) <doi:10.1109/ICDE.2001.914855>), and some generalizations known as database preferences (see Kießling (2002) <doi:10.1016/B978-155860869-6/50035-4>).
Author: Patrick Roocks <mail@p-roocks.de>
Maintainer: Patrick Roocks <mail@p-roocks.de>

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Package parquetize updated to version 0.5.1 with previous version 0.5.0 dated 2023-01-13

Title: Convert Files to Parquet Format
Description: Collection of functions to get files in parquet format. Parquet is a columnar storage file format <https://parquet.apache.org/>. The files to convert can be of several formats ("csv", "RData", "rds", "RSQLite", "json", "ndjson", "SAS", "SPSS"...).
Author: Damien Dotta [aut, cre]
Maintainer: Damien Dotta <damien.dotta@live.fr>

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Package gargle updated to version 1.3.0 with previous version 1.2.1 dated 2022-09-07

Title: Utilities for Working with Google APIs
Description: Provides utilities for working with Google APIs <https://developers.google.com/apis-explorer>. This includes functions and classes for handling common credential types and for preparing, executing, and processing HTTP requests.
Author: Jennifer Bryan [aut, cre] , Craig Citro [aut], Hadley Wickham [aut] , Google Inc [cph], Posit, PBC [cph, fnd]
Maintainer: Jennifer Bryan <jenny@posit.co>

Diff between gargle versions 1.2.1 dated 2022-09-07 and 1.3.0 dated 2023-01-30

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 gargle-1.3.0/gargle/DESCRIPTION                                                          |   22 
 gargle-1.3.0/gargle/LICENSE                                                              |    4 
 gargle-1.3.0/gargle/MD5                                                                  |  174 ++--
 gargle-1.3.0/gargle/NAMESPACE                                                            |   10 
 gargle-1.3.0/gargle/NEWS.md                                                              |   90 ++
 gargle-1.3.0/gargle/R/AuthState-class.R                                                  |   25 
 gargle-1.3.0/gargle/R/Gargle-class.R                                                     |  121 ++-
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 gargle-1.3.0/gargle/R/credentials_gce.R                                                  |  164 +++-
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 gargle-1.3.0/gargle/R/gargle-package.R                                                   |   21 
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 gargle-1.3.0/gargle/R/oauth-refresh.R                                                    |   18 
 gargle-1.3.0/gargle/R/request_retry.R                                                    |    2 
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 gargle-1.3.0/gargle/R/sysdata.rda                                                        |binary
 gargle-1.3.0/gargle/R/token-fetch.R                                                      |   12 
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 gargle-1.3.0/gargle/inst/WORDLIST                                                        |    4 
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 gargle-1.3.0/gargle/inst/doc/gargle-auth-in-client-package.R                             |   18 
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 gargle-1.3.0/gargle/inst/doc/gargle-auth-in-client-package.html                          |  202 ++---
 gargle-1.3.0/gargle/inst/doc/get-api-credentials.R                                       |   19 
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 gargle-1.3.0/gargle/inst/doc/how-gargle-gets-tokens.R                                    |   35 
 gargle-1.3.0/gargle/inst/doc/how-gargle-gets-tokens.Rmd                                  |  155 ++--
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 gargle-1.3.0/gargle/inst/doc/non-interactive-auth.R                                      |   12 
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 gargle-1.3.0/gargle/man/request_retry.Rd                                                 |    2 
 gargle-1.3.0/gargle/man/token_fetch.Rd                                                   |   11 
 gargle-1.3.0/gargle/tests/testthat/_snaps/Gargle-class.md                                |   26 
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 gargle-1.3.0/gargle/tests/testthat/test-Gargle-class.R                                   |   55 +
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 gargle-1.3.0/gargle/vignettes/auth-from-web.Rmd                                          |  177 +++-
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 gargle-1.3.0/gargle/vignettes/get-api-credentials.Rmd                                    |   53 -
 gargle-1.3.0/gargle/vignettes/how-gargle-gets-tokens.Rmd                                 |  155 ++--
 gargle-1.3.0/gargle/vignettes/non-interactive-auth.Rmd                                   |   68 +
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More information about gargle at CRAN
Permanent link

New package BayesianTools with initial version 0.1.8
Package: BayesianTools
Title: General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics
Version: 0.1.8
Date: 2023-01-30
Description: General-purpose MCMC and SMC samplers, as well as plot and diagnostic functions for Bayesian statistics, with a particular focus on calibrating complex system models. Implemented samplers include various Metropolis MCMC variants (including adaptive and/or delayed rejection MH), the T-walk, two differential evolution MCMCs, two DREAM MCMCs, and a sequential Monte Carlo (SMC) particle filter.
Depends: R (>= 3.1.2)
License: GPL-3
Imports: coda, emulator, mvtnorm, tmvtnorm, IDPmisc, Rcpp (>= 0.12.12), ellipse, numDeriv, msm, MASS, Matrix, stats, utils, graphics, DHARMa, gap, bridgesampling
Suggests: DEoptim, lhs, sensitivity, knitr, rmarkdown, roxygen2, testthat
LinkingTo: Rcpp
URL: https://github.com/florianhartig/BayesianTools
BugReports: https://github.com/florianhartig/BayesianTools/issues
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2023-01-30 09:56:37 UTC; florian
Author: Florian Hartig [aut, cre] , Francesco Minunno [aut], Stefan Paul [aut], David Cameron [ctb], Tankred Ott [ctb], Maximilian Pichler [ctb]
Maintainer: Florian Hartig <florian.hartig@biologie.uni-regensburg.de>
Repository: CRAN
Date/Publication: 2023-01-30 19:40:07 UTC

More information about BayesianTools at CRAN
Permanent link

Package tidyhydat updated to version 0.5.9 with previous version 0.5.8 dated 2022-11-29

Title: Extract and Tidy Canadian 'Hydrometric' Data
Description: Provides functions to access historical and real-time national 'hydrometric' data from Water Survey of Canada data sources (<https://dd.weather.gc.ca/hydrometric/csv/> and <https://collaboration.cmc.ec.gc.ca/cmc/hydrometrics/www/>) and then applies tidy data principles.
Author: Sam Albers [aut, cre] , David Hutchinson [ctb], Dewey Dunnington [ctb], Ryan Whaley [ctb], Province of British Columbia [cph], Government of Canada [dtc], Luke Winslow [rev] , Laura DeCicco [rev]
Maintainer: Sam Albers <sam.albers@gmail.com>

Diff between tidyhydat versions 0.5.8 dated 2022-11-29 and 0.5.9 dated 2023-01-30

 DESCRIPTION                                       |    8 
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 NEWS.md                                           |    4 
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 R/hy_annual_instant_peaks.R                       |   76 +++--
 R/hy_annual_stats.R                               |   44 +--
 R/hy_daily.R                                      |   72 ++---
 R/hy_daily_flows.R                                |  123 ++++-----
 R/hy_daily_levels.R                               |  102 ++++---
 R/hy_db.R                                         |   52 +--
 R/hy_monthly_flows.R                              |   39 +-
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 R/hy_sed_daily_loads.R                            |   31 +-
 R/hy_sed_daily_suscon.R                           |   91 +++---
 R/hy_sed_monthly_loads.R                          |   84 +++---
 R/hy_sed_monthly_suscon.R                         |   87 +++---
 R/hy_sed_samples.R                                |   52 +--
 R/hy_sed_samples_psd.R                            |   48 +--
 R/hy_stations.R                                   |   51 +--
 R/hy_stn_regulation.R                             |   31 +-
 R/realtime-classes.R                              |   12 
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 tests/testthat/test_realtime_add_local_datetime.R |   12 
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More information about tidyhydat at CRAN
Permanent link

Package scoringutils updated to version 1.1.0 with previous version 1.0.1 dated 2022-08-16

Title: Utilities for Scoring and Assessing Predictions
Description: Provides a collection of metrics and proper scoring rules (Tilmann Gneiting & Adrian E Raftery (2007) <doi:10.1198/016214506000001437>, Jordan, A., Krüger, F., & Lerch, S. (2019) <doi:10.18637/jss.v090.i12>) within a consistent framework for evaluation, comparison and visualisation of forecasts. In addition to proper scoring rules, functions are provided to assess bias, sharpness and calibration (Sebastian Funk, Anton Camacho, Adam J. Kucharski, Rachel Lowe, Rosalind M. Eggo, W. John Edmunds (2019) <doi:10.1371/journal.pcbi.1006785>) of forecasts. Several types of predictions (e.g. binary, discrete, continuous) which may come in different formats (e.g. forecasts represented by predictive samples or by quantiles of the predictive distribution) can be evaluated. Scoring metrics can be used either through a convenient data.frame format, or can be applied as individual functions in a vector / matrix format. All functionality has been implemented with a focus on pe [...truncated...]
Author: Nikos Bosse [aut, cre] , Sam Abbott [aut] , Hugo Gruson [aut] , Johannes Bracher [ctb] , Sebastian Funk [ctb]
Maintainer: Nikos Bosse <nikosbosse@gmail.com>

Diff between scoringutils versions 1.0.1 dated 2022-08-16 and 1.1.0 dated 2023-01-30

 scoringutils-1.0.1/scoringutils/R/zzz.R                                                                          |only
 scoringutils-1.1.0/scoringutils/DESCRIPTION                                                                      |   12 
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 scoringutils-1.1.0/scoringutils/NAMESPACE                                                                        |    3 
 scoringutils-1.1.0/scoringutils/NEWS.md                                                                          |   26 
 scoringutils-1.1.0/scoringutils/R/avail_forecasts.R                                                              |    8 
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 scoringutils-1.1.0/scoringutils/man/pit_sample.Rd                                                                |   12 
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 scoringutils-1.1.0/scoringutils/man/plot_pit.Rd                                                                  |    2 
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 scoringutils-1.1.0/scoringutils/tests/testthat/test-score.R                                                      |   14 
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New package vvsculptor with initial version 0.4.10
Package: vvsculptor
Title: Apply Manipulations to Data Frames
Version: 0.4.10
Description: Provides a set of functions for manipulating data frames in accordance with specific business rules. In addition, it includes wrapper functions for commonly used functions from the popular 'tidyverse' package, making it easy to integrate these functions into data analysis workflows. The package is designed to streamline data preprocessing and help users quickly and efficiently perform data transformations that are specific to their business needs.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr
NeedsCompilation: no
Packaged: 2023-01-28 08:08:06 UTC; tomer
Author: Tomer Iwan [aut, cre, cph]
Maintainer: Tomer Iwan <t.iwan@vu.nl>
Repository: CRAN
Date/Publication: 2023-01-30 16:20:02 UTC

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New package usdoj with initial version 1.0.0
Package: usdoj
Title: For Accessing U.S. Department of Justice (DOJ) Open Data
Version: 1.0.0
Maintainer: Steph Buongiorno <steph.buon@gmail.com>
Depends: R (>= 3.4.4)
Imports: anytime, dplyr, httr, jsonlite, stringr, tibble
URL: https://github.com/rOpenGov/usdoj
BugReports: https://github.com/rOpenGov/usdoj/issues
Description: Fetch data from the <https://www.justice.gov/developer/api-documentation/api_v1> API such as press releases, blog entries, and speeches. Optional parameters allow users to specify the number of results starting from the earliest or latest entries, and whether these results contain keywords. Data is cleaned for analysis and returned in a dataframe.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-01-29 15:32:49 UTC; stephbuon
Author: Steph Buongiorno [aut, cre]
Repository: CRAN
Date/Publication: 2023-01-30 16:50:02 UTC

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New package simplanonym with initial version 0.1.0
Package: simplanonym
Title: Consistent Anonymisation Across Datasets
Version: 0.1.0
Description: A simple function that anonymises a list of variables in a consistent way: anonymised factors are not recycled and the same original levels receive the same anonymised factor even if located in different datasets.
License: Apache License (>= 2)
Encoding: UTF-8
URL: https://github.com/dkgaraujo/simplanonym
BugReports: https://github.com/dkgaraujo/simplanonym/issues
Imports: dplyr (>= 1.0.10), forcats (>= 0.5.1), tidyselect (>= 1.2.0)
Suggests: testthat (>= 3.0.0), vroom (>= 1.5.7)
NeedsCompilation: no
Packaged: 2023-01-27 20:51:45 UTC; douglasaraujo
Author: Douglas Kiarelly Godoy de Araujo [aut, cre]
Maintainer: Douglas Kiarelly Godoy de Araujo <dkg.araujo@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-30 16:20:05 UTC

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New package penalizedcdf with initial version 0.1.0
Package: penalizedcdf
Title: Estimate a Penalized Linear Model using the CDF Penalty Function
Version: 0.1.0
Author: Daniele Cuntrera [aut, cre], Luigi Augugliaro [aut], Vito M.R. Muggeo [aut]
Maintainer: Daniele Cuntrera <daniele.cuntrera@unipa.it>
Description: Utilize the CDF penalty function to estimate a penalized linear model. It enables you to display some graphical representations and determine whether the Karush-Kuhn-Tucker conditions are met. For more details about the theory, please refer to Cuntrera, D., Augugliaro, L., & Muggeo, V. M. (2022) <arXiv:2212.08582>.
License: GPL-2 | GPL-3
Encoding: UTF-8
Imports: plot.matrix
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-01-28 16:24:35 UTC; heghe
Repository: CRAN
Date/Publication: 2023-01-30 16:40:02 UTC

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New package LGDtoolkit with initial version 0.0.9
Package: LGDtoolkit
Title: Collection of Tools for LGD Rating Model Development
Version: 0.0.9
Maintainer: Andrija Djurovic <djandrija@gmail.com>
Description: The goal of this package is to cover the most common steps in Loss Given Default (LGD) rating model development. The main procedures available are those that refer to bivariate and multivariate analysis. In particular two statistical methods for multivariate analysis are currently implemented – OLS regression and fractional logistic regression. Both methods are also available within different blockwise model designs and both have customized stepwise algorithms. Descriptions of these customized designs are available in Siddiqi (2016) <doi:10.1002/9781119282396.ch10> and Anderson, R.A. (2021) <doi:10.1093/oso/9780192844194.001.0001>. Although they are explained for PD model, the same designs are applicable for LGD model with different underlying regression methods (OLS and fractional logistic regression). To cover other important steps for LGD model development, it is recommended to use 'LGDtoolkit' package along with 'PDtoolkit', and 'monobin' (or 'monobinShiny') packages.
License: GPL (>= 3)
URL: https://github.com/andrija-djurovic/LGDtoolkit
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: dplyr, monobin
NeedsCompilation: no
Packaged: 2023-01-28 09:00:19 UTC; adjurovic
Author: Andrija Djurovic [aut, cre]
Repository: CRAN
Date/Publication: 2023-01-30 16:30:02 UTC

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New package fedz1 with initial version 0.1.0
Package: fedz1
Title: An Easier Access to Financial Accounts of the United States(Z.1)
Version: 0.1.0
Description: Flow of funds are financial accounts that are provided by Federal Reserve quarterly. The package contains all datasets <https://www.federalreserve.gov/datadownload/Choose.aspx?rel=z1>, tables <https://www.federalreserve.gov/apps/fof/FOFTables.aspx> and descriptions <https://www.federalreserve.gov/apps/fof/Guide/z1_tables_description.pdf> with functions to understand series <https://www.federalreserve.gov/apps/fof/SeriesStructure.aspx> and explore them.
URL: https://github.com/shaf1430/fedz1
BugReports: https://github.com/shaf1430/fedz1/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10)
LazyData: true
Suggests: testthat
NeedsCompilation: no
Packaged: 2023-01-27 22:02:34 UTC; 344920
Author: Hamid Shafiezadeh [aut, cre]
Maintainer: Hamid Shafiezadeh <shafiezadehhamid@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-30 16:20:08 UTC

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New package BT with initial version 0.3
Package: BT
Title: (Adaptive) Boosting Trees Algorithm
Version: 0.3
Date: 2023-01-25
Author: Gireg Willame [aut, cre, cph]
Maintainer: Gireg Willame <gireg.willame@gmail.com>
Depends: R (>= 4.0)
Imports: rpart, stats, statmod, parallel
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
Description: Performs (Adaptive) Boosting Trees for Poisson distributed response variables, using log-link function. The code approach is similar to the one used in 'gbm'/'gbm3'. Moreover, each tree in the expansion is built thanks to the 'rpart' package. This package is based on following books and articles Denuit, M., Hainaut, D., Trufin, J. (2019) <doi:10.1007/978-3-030-25820-7> Denuit, M., Hainaut, D., Trufin, J. (2019) <doi:10.1007/978-3-030-57556-4> Denuit, M., Hainaut, D., Trufin, J. (2019) <doi:10.1007/978-3-030-25827-6> Denuit, M., Hainaut, D., Trufin, J. (2022) <doi:10.1080/03461238.2022.2037016> Denuit, M., Huyghe, J., Trufin, J. (2022) <https://dial.uclouvain.be/pr/boreal/fr/object/boreal%3A244325/datastream/PDF_01/view> Denuit, M., Trufin, J., Verdebout, T. (2022) <https://dial.uclouvain.be/pr/boreal/fr/object/boreal%3A268577>.
URL: https://github.com/GiregWillame/BT/
BugReports: https://github.com/GiregWillame/BT/issues/
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-28 14:17:26 UTC; Gireg Willame
Repository: CRAN
Date/Publication: 2023-01-30 16:40:07 UTC

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New package baygel with initial version 0.1.0
Package: baygel
Title: Bayesian Estimators for Gaussian Graphical Models
Version: 0.1.0
Date: 2023-01-22
Description: Implements a Bayesian graphical ridge data-augmented block Gibbs sampler. The sampler simulates the posterior distribution of precision matrices of a Gaussian Graphical Model. This sampler is proposed in Smith, Arashi, and Bekker (2022) <doi:10.48550/arXiv.2210.16290>.
License: GPL (>= 3)
Imports: Rcpp (>= 1.0.8), RcppArmadillo (>= 0.11.1.1.0)
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
Suggests: MASS, pracma
URL: https://github.com/Jarod-Smithy/baygel
NeedsCompilation: yes
Packaged: 2023-01-28 12:11:41 UTC; QXZ0GWG
Author: Jarod Smith [aut, cre] , Mohammad Arashi [aut] , Andriette Bekker [aut]
Maintainer: Jarod Smith <jarodsmith706@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-30 16:40:04 UTC

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Package tigris updated to version 2.0.1 with previous version 2.0 dated 2022-12-07

Title: Load Census TIGER/Line Shapefiles
Description: Download TIGER/Line shapefiles from the United States Census Bureau (<https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html>) and load into R as 'sf' objects.
Author: Kyle Walker [aut, cre], Bob Rudis [ctb]
Maintainer: Kyle Walker <kyle@walker-data.com>

Diff between tigris versions 2.0 dated 2022-12-07 and 2.0.1 dated 2023-01-30

 DESCRIPTION           |    8 ++++----
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Package TestDesign updated to version 1.5.1 with previous version 1.4.0 dated 2022-12-17

Title: Optimal Test Design Approach to Fixed and Adaptive Test Construction
Description: Uses the optimal test design approach by Birnbaum (1968, ISBN:9781593119348) and van der Linden (2018) <doi:10.1201/9781315117430> to construct fixed, adaptive, and parallel tests. Supports the following mixed-integer programming (MIP) solver packages: 'Rsymphony', 'gurobi', 'lpSolve', and 'Rglpk'. The 'gurobi' package is not available from CRAN; see <https://www.gurobi.com/downloads/>.
Author: Seung W. Choi [aut, cre] , Sangdon Lim [aut]
Maintainer: Seung W. Choi <schoi@austin.utexas.edu>

Diff between TestDesign versions 1.4.0 dated 2022-12-17 and 1.5.1 dated 2023-01-30

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Package stepR updated to version 2.1-4 with previous version 2.1-3 dated 2022-05-05

Title: Multiscale Change-Point Inference
Description: Allows fitting of step-functions to univariate serial data where neither the number of jumps nor their positions is known by implementing the multiscale regression estimators SMUCE (K. Frick, A. Munk and H. Sieling, 2014) <doi:10.1111/rssb.12047> and HSMUCE (F. Pein, H. Sieling and A. Munk, 2017) <doi:10.1111/rssb.12202>. In addition, confidence intervals for the change-point locations and bands for the unknown signal can be obtained.
Author: Pein Florian [aut, cre], Thomas Hotz [aut], Hannes Sieling [aut], Timo Aspelmeier [ctb]
Maintainer: Pein Florian <f.pein@lancaster.ac.uk>

Diff between stepR versions 2.1-3 dated 2022-05-05 and 2.1-4 dated 2023-01-30

 ChangeLog          |    4 ++++
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Package REDCapDM updated to version 0.1.1 with previous version 0.1.0 dated 2022-12-22

Title: 'REDCap' Data Management
Description: Access and manage 'REDCap' data. 'REDCap' (Research Electronic Data CAPture; <https://projectredcap.org>) is a web application for building and managing online surveys and databases developed at Vanderbilt University. The API allows users to programmatic access data and project meta data (such as the data dictionary) from the web. This package allows us to read 'REDCap' data, exported or using an API connection, identify missing or extreme values, identify missing 'REDCap' events in each observation, do a follow-up of the queries initially identified and it also facilitates the process of data management.
Author: Joao Carmezim [aut, cre], Judith Penafiel [aut], Pau Satorra [aut], Esther Garcia [aut], Natalia Pallares [aut], Cristian Tebe [aut]
Maintainer: Joao Carmezim <ubidi@idibell.cat>

Diff between REDCapDM versions 0.1.0 dated 2022-12-22 and 0.1.1 dated 2023-01-30

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 REDCapDM-0.1.1/REDCapDM/NEWS.md                                 |    7 
 REDCapDM-0.1.1/REDCapDM/R/REDCapDM.R                            |   10 
 REDCapDM-0.1.1/REDCapDM/R/check_queries.R                       |   12 
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New package CropScapeR with initial version 1.1.5
Package: CropScapeR
Title: Access Cropland Data Layer Data via the 'CropScape' Web Service
Version: 1.1.5
Description: Interface to easily access Cropland Data Layer (CDL) data for any area of interest via the 'CropScape' <https://nassgeodata.gmu.edu/CropScape/> web service.
Encoding: UTF-8
License: GPL (>= 2)
LazyData: true
Depends: R (>= 3.6.0)
Imports: dplyr (>= 0.8.3), magrittr (>= 1.5), raster (>= 3.0), sf (>= 0.8), data.table (>= 1.12.8), httr (>= 1.4.1), RJSONIO (>= 1.3), utils (>= 3.6.1)
NeedsCompilation: no
Packaged: 2023-01-30 03:03:45 UTC; BC
Author: Bowen Chen [aut, cre] , Benjamin Gramig [ctb], Taro Mieno [ctb]
Maintainer: Bowen Chen <bwchen0719@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-30 15:30:11 UTC

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Package wpa updated to version 1.8.1 with previous version 1.8.0 dated 2022-07-05

Title: Tools for Analysing and Visualising Viva Insights Data
Description: Opinionated functions that enable easier and faster analysis of Viva Insights data. There are three main types of functions in 'wpa': (i) Standard functions create a 'ggplot' visual or a summary table based on a specific Viva Insights metric; (2) Report Generation functions generate HTML reports on a specific analysis area, e.g. Collaboration; (3) Other miscellaneous functions cover more specific applications (e.g. Subject Line text mining) of Viva Insights data. This package adheres to 'tidyverse' principles and works well with the pipe syntax. 'wpa' is built with the beginner-to-intermediate R users in mind, and is optimised for simplicity.
Author: Martin Chan [aut, cre], Carlos Morales [aut], Mark Powers [ctb], Ainize Cidoncha [ctb], Rosamary Ochoa Vargas [ctb], Tannaz Sattari [ctb], Lucas Hogner [ctb], Jasminder Thind [ctb], Simone Liebal [ctb], Aleksey Ashikhmin [ctb], Ellen Trinklein [ctb], [...truncated...]
Maintainer: Martin Chan <martin.chan@microsoft.com>

Diff between wpa versions 1.8.0 dated 2022-07-05 and 1.8.1 dated 2023-01-30

 DESCRIPTION                  |    6 
 MD5                          |   12 -
 NEWS.md                      |  288 +++++++++++++++++++++----------------------
 R/workpatterns_classify_bw.R |    6 
 README.md                    |    3 
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 7 files changed, 233 insertions(+), 228 deletions(-)

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Package tidycensus updated to version 1.3.2 with previous version 1.3.1 dated 2023-01-09

Title: Load US Census Boundary and Attribute Data as 'tidyverse' and 'sf'-Ready Data Frames
Description: An integrated R interface to several United States Census Bureau APIs (<https://www.census.gov/data/developers/data-sets.html>) and the US Census Bureau's geographic boundary files. Allows R users to return Census and ACS data as tidyverse-ready data frames, and optionally returns a list-column with feature geometry for mapping and spatial analysis.
Author: Kyle Walker [aut, cre], Matt Herman [aut], Kris Eberwein [ctb]
Maintainer: Kyle Walker <kyle@walker-data.com>

Diff between tidycensus versions 1.3.1 dated 2023-01-09 and 1.3.2 dated 2023-01-30

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 9 files changed, 25 insertions(+), 27 deletions(-)

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Package RNifti updated to version 1.4.5 with previous version 1.4.4 dated 2023-01-16

Title: Fast R and C++ Access to NIfTI Images
Description: Provides very fast read and write access to images stored in the NIfTI-1, NIfTI-2 and ANALYZE-7.5 formats, with seamless synchronisation of in-memory image objects between compiled C and interpreted R code. Also provides a simple image viewer, and a C/C++ API that can be used by other packages. Not to be confused with 'RNiftyReg', which performs image registration and applies spatial transformations.
Author: Jon Clayden [cre, aut] , Bob Cox [aut], Mark Jenkinson [aut], Matt Hall [ctb], Rick Reynolds [ctb], Kate Fissell [ctb], Jean-loup Gailly [cph], Mark Adler [cph]
Maintainer: Jon Clayden <code@clayden.org>

Diff between RNifti versions 1.4.4 dated 2023-01-16 and 1.4.5 dated 2023-01-30

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 4 files changed, 21 insertions(+), 8 deletions(-)

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Package anticlust updated to version 0.6.3 with previous version 0.6.1 dated 2021-12-07

Title: Subset Partitioning via Anticlustering
Description: The method of anticlustering partitions a pool of elements into groups (i.e., anticlusters) with the goal of maximizing between-group similarity or within-group heterogeneity. The anticlustering approach thereby reverses the logic of cluster analysis that strives for high within-group homogeneity and low similarity of the different groups. Computationally, anticlustering is accomplished by maximizing instead of minimizing a clustering objective function, such as the intra-cluster variance (used in k-means clustering) or the sum of pairwise distances within clusters. The function anticlustering() implements exact and heuristic anticlustering algorithms as described in Papenberg and Klau (2021; <doi:10.1037/met0000301>). The exact algorithms require that the GNU linear programming kit (<https://www.gnu.org/software/glpk/glpk.html>) is available and the R package 'Rglpk' (<https://cran.R-project.org/package=Rglpk>) is installed. A bicriterion anticlustering method prop [...truncated...]
Author: Martin Papenberg [aut, cre] , Meik Michalke [ctb] , Gunnar W. Klau [ths], Juliane V. Nagel [ctb] , Martin Breuer [ctb] , Marie L. Schaper [ctb]
Maintainer: Martin Papenberg <martin.papenberg@hhu.de>

Diff between anticlust versions 0.6.1 dated 2021-12-07 and 0.6.3 dated 2023-01-30

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New package HypergeoMat with initial version 4.0.2
Package: HypergeoMat
Title: Hypergeometric Function of a Matrix Argument
Version: 4.0.2
Author: Stephane Laurent
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Description: Evaluates the hypergeometric functions of a matrix argument, which appear in random matrix theory. This is an implementation of Koev & Edelman's algorithm (2006) <doi:10.1090/S0025-5718-06-01824-2>.
License: GPL-3
URL: https://github.com/stla/HypergeoMat
BugReports: https://github.com/stla/HypergeoMat/issues
Imports: EigenR, gsl, JuliaConnectoR, Rcpp (>= 1.0.2)
Suggests: Bessel, jack, knitr, rmarkdown, testthat
LinkingTo: Rcpp, RcppEigen
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: C++17
NeedsCompilation: yes
Packaged: 2023-01-30 12:12:05 UTC; stla
Repository: CRAN
Date/Publication: 2023-01-30 13:10:02 UTC

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New package httpgd with initial version 1.3.1
Package: httpgd
Title: A 'HTTP' Server Graphics Device
Version: 1.3.1
Description: A graphics device for R that is accessible via network protocols. This package was created to make it easier to embed live R graphics in integrated development environments and other applications. The included 'HTML/JavaScript' client (plot viewer) aims to provide a better overall user experience when dealing with R graphics. The device asynchronously serves graphics via 'HTTP' and 'WebSockets'.
License: GPL (>= 2)
Depends: R (>= 3.2.0)
Imports: later (>= 1.1.0), systemfonts (>= 1.0.0)
LinkingTo: cpp11 (>= 0.2.4), BH (>= 1.75.0), later, systemfonts
Suggests: testthat, xml2 (>= 1.0.0), fontquiver (>= 0.2.0), knitr, rmarkdown
Encoding: UTF-8
SystemRequirements: C++17, libpng, cairo, freetype2, fontconfig
URL: https://github.com/nx10/httpgd, https://nx10.github.io/httpgd/
BugReports: https://github.com/nx10/httpgd/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-01-30 03:20:54 UTC; flo
Author: Florian Rupprecht [aut, cre] , Kun Ren [ctb], Tatsuya Shima [ctb], Jeroen Ooms [ctb] , Hadley Wickham [cph] , Lionel Henry [cph] , Thomas Lin Pedersen [cph] , T Jake Luciani [cph] , Matthieu Decorde [cph] , Vaudor Lise [cph] , Tony Plate [cph] , Davi [...truncated...]
Maintainer: Florian Rupprecht <floruppr@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-30 14:00:02 UTC

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New package graph4lg with initial version 1.8.0
Package: graph4lg
Title: Build Graphs for Landscape Genetics Analysis
Version: 1.8.0
Maintainer: Paul Savary <psavary@protonmail.com>
Description: Build graphs for landscape genetics analysis. This set of functions can be used to import and convert spatial and genetic data initially in different formats, import landscape graphs created with 'GRAPHAB' software (Foltete et al., 2012) <doi:10.1016/j.envsoft.2012.07.002>, make diagnosis plots of isolation by distance relationships in order to choose how to build genetic graphs, create graphs with a large range of pruning methods, weight their links with several genetic distances, plot and analyse graphs, compare them with other graphs. It uses functions from other packages such as 'adegenet' (Jombart, 2008) <doi:10.1093/bioinformatics/btn129> and 'igraph' (Csardi et Nepusz, 2006) <https://igraph.org/>. It also implements methods commonly used in landscape genetics to create graphs, described by Dyer et Nason (2004) <doi:10.1111/j.1365-294X.2004.02177.x> and Greenbaum et Fefferman (2017) <doi:10.1111/mec.14059>, and to analyse distance data (van Strien et [...truncated...]
Depends: R(>= 3.1.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: adegenet, ggplot2, stringr, igraph, stats, spatstat.geom, spatstat.linnet, Matrix, vegan, utils, methods, pegas, MASS, tidyr, sp, sf, hierfstat, rappdirs, gdistance, raster, foreign, ecodist, Rdpack
Suggests: knitr, rmarkdown
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2023-01-30 00:23:37 UTC; paul
Author: Paul Savary [aut, cre] , Gilles Vuidel [ctb] , Tyler Rudolph [ctb], Alexandrine Daniel [ctb]
Repository: CRAN
Date/Publication: 2023-01-30 14:00:05 UTC

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Package CopernicusMarine updated to version 0.0.6 with previous version 0.0.3 dated 2023-01-18

Title: Search Download and Handle Data from Copernicus Marine Service Information
Description: Subset and download data from EU Copernicus Marine Service Information: <https://data.marine.copernicus.eu>. Import data on the oceans physical and biogeochemical state from Copernicus into R without the need of external software.
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

Diff between CopernicusMarine versions 0.0.3 dated 2023-01-18 and 0.0.6 dated 2023-01-30

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New package CensMFM with initial version 3.0
Package: CensMFM
Title: Finite Mixture of Multivariate Censored/Missing Data
Version: 3.0
Date: 2023-01-28
Imports: MomTrunc (>= 5.87), mvtnorm (>= 1.0.11), gridExtra, ggplot2, tlrmvnmvt (>= 1.1.0)
Suggests: mixsmsn
Description: It fits finite mixture models for censored or/and missing data using several multivariate distributions. Point estimation and asymptotic inference (via empirical information matrix) are offered as well as censored data generation. Pairwise scatter and contour plots can be generated. Possible multivariate distributions are the well-known normal, Student-t and skew-normal distributions. This package is an complement of Lachos, V. H., Moreno, E. J. L., Chen, K. & Cabral, C. R. B. (2017) <doi:10.1016/j.jmva.2017.05.005> for the multivariate skew-normal case.
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-01-28 18:59:35 UTC; cgala
Author: Francisco H. C. de Alencar [aut, cre], Christian E. Galarza [aut], Larissa A. Matos [ctb], Victor H. Lachos [ctb]
Maintainer: Francisco H. C. de Alencar <hildemardealencar@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-30 14:00:10 UTC

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Package SK4FGA updated to version 0.1.1 with previous version 0.1.0 dated 2023-01-25

Title: Scott-Knott for Forensic Glass Analysis
Description: In forensics, it is common and effective practice to analyse glass fragments from the scene and suspects to gain evidence of placing a suspect at the crime scene. This kind of analysis involves comparing the physical and chemical attributes of glass fragments that exist on both the person and at the crime scene, and assessing the significance in a likeness that they share. The package implements the Scott-Knott Modification 2 algorithm (SKM2) (Christopher M. Triggs and James M. Curran and John S. Buckleton and Kevan A.J. Walsh (1997) <doi:10.1016/S0379-0738(96)02037-3> "The grouping problem in forensic glass analysis: a divisive approach", Forensic Science International, 85(1), 1--14) for small sample glass fragment analysis using the refractive index (ri) of a set of glass samples. It also includes an experimental multivariate analog to the Scott-Knott algorithm for similar analysis on glass samples with multiple chemical concentration variables and multiple samples of the same [...truncated...]
Author: Toby Hayward [aut, cre] , James Curran [aut, ctb] , Lewis Kendall-Jones [ctb]
Maintainer: Toby Hayward <tobyhayward13@gmail.com>

Diff between SK4FGA versions 0.1.0 dated 2023-01-25 and 0.1.1 dated 2023-01-30

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 2 files changed, 6 insertions(+), 4 deletions(-)

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Package MetabolomicsBasics updated to version 1.4 with previous version 1.3 dated 2022-10-01

Title: Basic Functions to Investigate Metabolomics Data Matrices
Description: A set of functions to investigate raw data from (metabol)omics experiments intended to be used on a raw data matrix, i.e. following peak picking and signal deconvolution. Functions can be used to normalize data, detect biomarkers and perform sample classification. A detailed description of best practice usage may be found in the publication <https://link.springer.com/protocol/10.1007/978-1-4939-7819-9_20>.
Author: Jan Lisec [aut, cre]
Maintainer: Jan Lisec <jan.lisec@bam.de>

Diff between MetabolomicsBasics versions 1.3 dated 2022-10-01 and 1.4 dated 2023-01-30

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Package insight updated to version 0.19.0 with previous version 0.18.8 dated 2022-11-24

Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Brenton M. Wiernik [aut] , Vincent Arel-Bundock [aut, ctb] , Alex Hayes [rev] , Grant McDermott [ [...truncated...]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

Diff between insight versions 0.18.8 dated 2022-11-24 and 0.19.0 dated 2023-01-30

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Permanent link

Package neatR updated to version 0.1.1 with previous version 0.1.0 dated 2023-01-26

Title: Neat Data for Presentation
Description: Utilities for unambiguous, neat and legible representation of data (date, time stamp, numbers, percentages and strings) for presentation of analysis , aiming for elegance and consistency. The purpose of this package is to format data, that is better for presentation and any automation jobs that reports numbers.
Author: Shivaprakash Suresh [aut, cre, cph]
Maintainer: Shivaprakash Suresh <dswithai@gmail.com>

Diff between neatR versions 0.1.0 dated 2023-01-26 and 0.1.1 dated 2023-01-30

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More information about neatR at CRAN
Permanent link

Package DatabaseConnector updated to version 6.0.0 with previous version 5.1.0 dated 2022-09-23

Title: Connecting to Various Database Platforms
Description: An R 'DataBase Interface' ('DBI') compatible interface to various database platforms ('PostgreSQL', 'Oracle', 'Microsoft SQL Server', 'Amazon Redshift', 'Microsoft Parallel Database Warehouse', 'IBM Netezza', 'Apache Impala', 'Google BigQuery', 'Snowflake', 'Spark', and 'SQLite'). Also includes support for fetching data as 'Andromeda' objects. Uses either 'Java Database Connectivity' ('JDBC') or other DB I drivers to connect to databases.
Author: Martijn Schuemie [aut, cre], Marc Suchard [aut], Observational Health Data Science and Informatics [cph], Microsoft Inc. [cph] , PostgreSQL Global Development Group [cph] , Oracle Inc. [cph] , Amazon Inc. [cph]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

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Permanent link

Package spatstat.geom updated to version 3.0-6 with previous version 3.0-5 dated 2023-01-22

Title: Geometrical Functionality of the 'spatstat' Family
Description: Defines spatial data types and supports geometrical operations on them. Data types include point patterns, windows (domains), pixel images, line segment patterns, tessellations and hyperframes. Capabilities include creation and manipulation of data (using command line or graphical interaction), plotting, geometrical operations (rotation, shift, rescale, affine transformation), convex hull, discretisation and pixellation, Dirichlet tessellation, Delaunay triangulation, pairwise distances, nearest-neighbour distances, distance transform, morphological operations (erosion, dilation, closing, opening), quadrat counting, geometrical measurement, geometrical covariance, colour maps, calculus on spatial domains, Gaussian blur, level sets of images, transects of images, intersections between objects, minimum distance matching. (Excludes spatial data on a network, which are supported by the package 'spatstat.linnet'.)
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Tilman Davies [ctb], Ute Hahn [ctb], Abdollah Jalilian [ctb], Greg McSwiggan [ctb, cph], Sebastian Meyer [ctb, cph], Jens Oehlschlaegel [ctb, cph], Suman Rakshit [ctb], [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.geom versions 3.0-5 dated 2023-01-22 and 3.0-6 dated 2023-01-30

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More information about spatstat.geom at CRAN
Permanent link

Package restoptr updated to version 1.0.4 with previous version 1.0.3 dated 2022-11-12

Title: Ecological Restoration Planning
Description: Flexible framework for ecological restoration planning. It aims to identify priority areas for restoration efforts using optimization algorithms (based on Justeau-Allaire et al. 2021 <doi:10.1111/1365-2664.13803>). Priority areas can be identified by maximizing landscape indices, such as the effective mesh size (Jaeger 2000 <doi:10.1023/A:1008129329289>), or the integral index of connectivity (Pascual-Hortal & Saura 2006 <doi:10.1007/s10980-006-0013-z>). Additionally, constraints can be used to ensure that priority areas exhibit particular characteristics (e.g., ensure that particular places are not selected for restoration, ensure that priority areas form a single contiguous network). Furthermore, multiple near-optimal solutions can be generated to explore multiple options in restoration planning. The package leverages the 'Choco-solver' software to perform optimization using constraint programming (CP) techniques (<https://choco-solver.org/>).
Author: Dimitri Justeau-Allaire [aut, cre] , Jeffrey O Hanson [aut] , Ghislain Vieilledent [aut] , Philippe Vismara [aut], Xavier Lorca [aut], Philippe Birnbaum [aut]
Maintainer: Dimitri Justeau-Allaire <dimitri.justeau@gmail.com>

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Package jack updated to version 5.0.1 with previous version 5.0.0 dated 2023-01-28

Title: Jack, Zonal, and Schur Polynomials
Description: Symbolic calculation and evaluation of the Jack polynomials, zonal polynomials, and Schur polynomials. Mainly based on Demmel & Koev's paper (2006) <doi:10.1090/S0025-5718-05-01780-1>. Zonal polynomials and Schur polynomials are particular cases of Jack polynomials. Zonal polynomials appear in random matrix theory. Schur polynomials appear in the field of combinatorics.
Author: Stephane Laurent
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

Diff between jack versions 5.0.0 dated 2023-01-28 and 5.0.1 dated 2023-01-30

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Package SMOTEWB updated to version 0.1.5 with previous version 0.1.3 dated 2023-01-21

Title: Imbalanced Resampling using SMOTE with Boosting (SMOTEWB)
Description: Provides the SMOTE with Boosting (SMOTEWB) algorithm. See F. Sağlam, M. A. Cengiz (2022) <doi:10.1016/j.eswa.2022.117023>.
Author: Fatih Saglam [aut, cre]
Maintainer: Fatih Saglam <saglamf89@gmail.com>

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Package rgeoda updated to version 0.0.10-2 with previous version 0.0.9 dated 2022-04-11

Title: R Library for Spatial Data Analysis
Description: Provides spatial data analysis functionalities including Exploratory Spatial Data Analysis, Spatial Cluster Detection and Clustering Analysis, Regionalization, etc. based on the C++ source code of 'GeoDa', which is an open-source software tool that serves as an introduction to spatial data analysis. The 'GeoDa' software and its documentation are available at <https://geodacenter.github.io>.
Author: Xun Li [aut, cre], Luc Anselin [aut]
Maintainer: Xun Li <lixun910@gmail.com>

Diff between rgeoda versions 0.0.9 dated 2022-04-11 and 0.0.10-2 dated 2023-01-30

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Package ReIns updated to version 1.0.11 with previous version 1.0.10 dated 2020-05-16

Title: Functions from "Reinsurance: Actuarial and Statistical Aspects"
Description: Functions from the book "Reinsurance: Actuarial and Statistical Aspects" (2017) by Hansjoerg Albrecher, Jan Beirlant and Jef Teugels <https://www.wiley.com/en-us/Reinsurance%3A+Actuarial+and+Statistical+Aspects-p-9780470772683>.
Author: Tom Reynkens [aut, cre] , Roel Verbelen [aut] , Anastasios Bardoutsos [ctb] , Dries Cornilly [ctb] , Yuri Goegebeur [ctb] , Klaus Herrmann [ctb]
Maintainer: Tom Reynkens <tomreynkens@hotmail.com>

Diff between ReIns versions 1.0.10 dated 2020-05-16 and 1.0.11 dated 2023-01-30

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Package r2resize updated to version 1.5 with previous version 1.4 dated 2023-01-15

Title: In-Text Expandable and Resizable Containers, Images, Tables and Data Tables in 'Shiny', 'Rmarkdown' and 'Quarto' Documents
Description: Automatic resizing toolbar for containers, images and tables. Most suitable to include resize functionality in 'Markdown', 'Rmarkdown' and 'Quarto' documents.
Author: Obinna Obianom [aut, cre]
Maintainer: Obinna Obianom <idonshayo@gmail.com>

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Package qspray updated to version 1.0.0 with previous version 0.1.1 dated 2022-12-20

Title: Multivariate Polynomials with Rational Coefficients
Description: Symbolic calculation and evaluation of multivariate polynomials with rational coefficients. This package is strongly inspired by the 'spray' package.
Author: Stephane Laurent [aut, cre], Robin Hankin [ctb, cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>

Diff between qspray versions 0.1.1 dated 2022-12-20 and 1.0.0 dated 2023-01-30

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Package compound.Cox updated to version 3.26 with previous version 3.25 dated 2023-01-21

Title: Univariate Feature Selection and Compound Covariate for Predicting Survival
Description: Univariate feature selection and compound covariate methods under the Cox model with high-dimensional features (e.g., gene expressions). Available are survival data for non-small-cell lung cancer patients with gene expressions (Chen et al 2007 New Engl J Med) <DOI:10.1056/NEJMoa060096>, statistical methods in Emura et al (2012 PLoS ONE) <DOI:10.1371/journal.pone.0047627>, Emura & Chen (2016 Stat Methods Med Res) <DOI:10.1177/0962280214533378>, and Emura et al. (2019)<DOI:10.1016/j.cmpb.2018.10.020>. Algorithms for generating correlated gene expressions are also available.
Author: Takeshi Emura, Hsuan-Yu Chen, Shigeyuki Matsui, Yi-Hau Chen
Maintainer: Takeshi Emura <takeshiemura@gmail.com>

Diff between compound.Cox versions 3.25 dated 2023-01-21 and 3.26 dated 2023-01-30

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Package smurf updated to version 1.1.4 with previous version 1.1.3 dated 2022-05-06

Title: Sparse Multi-Type Regularized Feature Modeling
Description: Implementation of the SMuRF algorithm of Devriendt et al. (2021) <doi:10.1016/j.insmatheco.2020.11.010> to fit generalized linear models (GLMs) with multiple types of predictors via regularized maximum likelihood.
Author: Tom Reynkens [aut, cre] , Sander Devriendt [aut], Katrien Antonio [aut]
Maintainer: Tom Reynkens <tomreynkens@hotmail.com>

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Package rankinPlot updated to version 1.1.0 with previous version 1.0.1 dated 2022-08-09

Title: Convenient Plotting for the Modified Rankin Scale and Other Ordinal Outcome Data
Description: Provides convenient tools for visualising ordinal outcome data following the "Grotta Bar" approach pioneered by The National Institute of Neurological Disorders and Stroke rt-PA Stroke Study Group (1995) <doi:10.1056/NEJM199512143332401>.
Author: Hannah Johns [aut, cre]
Maintainer: Hannah Johns <htjohns@gmail.com>

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Package hrqglas updated to version 1.1.0 with previous version 1.0.1 dated 2021-08-16

Title: Group Variable Selection for Quantile and Robust Mean Regression
Description: A program that conducts group variable selection for quantile and robust mean regression (Sherwood and Li, 2022). The group lasso penalty (Yuan and Lin, 2006) is used for group-wise variable selection. Both of the quantile and mean regression models are based on the Huber loss. Specifically, with the tuning parameter in the Huber loss approaching to 0, the quantile check function can be approximated by the Huber loss for the median and the tilted version of Huber loss at other quantiles. Such approximation provides computational efficiency and stability, and has also been shown to be statistical consistent.
Author: Shaobo Li [aut, cre], Ben Sherwood [aut]
Maintainer: Shaobo Li <shaobo.li@ku.edu>

Diff between hrqglas versions 1.0.1 dated 2021-08-16 and 1.1.0 dated 2023-01-30

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Package mistat (with last version 2.0.3) was removed from CRAN

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

2021-04-18 2.0.3
2018-01-08 1.0-5

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