Tue, 04 May 2021

Package rgugik updated to version 0.3.1 with previous version 0.3.0 dated 2021-04-11

Title: Search and Retrieve Spatial Data from 'GUGiK'
Description: Automatic open data acquisition from resources of Polish Head Office of Geodesy and Cartography ('Główny Urząd Geodezji i Kartografii') (<www.gugik.gov.pl>). Available datasets include various types of numeric, raster and vector data, such as orthophotomaps, digital elevation models (digital terrain models, digital surface model, point clouds), state register of borders, spatial databases, geometries of cadastral parcels, 3D models of buildings, and more. It is also possible to geocode addresses or objects using the geocodePL_get() function.
Author: Krzysztof Dyba [aut, cre] (<https://orcid.org/0000-0002-8614-3816>), Jakub Nowosad [aut] (<https://orcid.org/0000-0002-1057-3721>), Maciej Beręsewicz [ctb] (<https://orcid.org/0000-0002-8281-4301>), GUGiK [ctb] (source of the data)
Maintainer: Krzysztof Dyba <adres7@gmail.com>

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Package provenance updated to version 3.3 with previous version 3.2 dated 2021-04-03

Title: Statistical Toolbox for Sedimentary Provenance Analysis
Description: Bundles a number of established statistical methods to facilitate the visual interpretation of large datasets in sedimentary geology. Includes functionality for adaptive kernel density estimation, principal component analysis, correspondence analysis, multidimensional scaling, generalised procrustes analysis and individual differences scaling using a variety of dissimilarity measures. Univariate provenance proxies, such as single-grain ages or (isotopic) compositions are compared with the Kolmogorov-Smirnov, Kuiper or Sircombe-Hazelton L2 distances. Categorical provenance proxies such as chemical compositions are compared with the Aitchison and Bray-Curtis distances, and point-counting data with the chi-square distance. Also included are tools to plot compositional and point-counting data on ternary diagrams and point-counting data on radial plots, to calculate the sample size required for specified levels of statistical precision, and to assess the effects of hydraulic sorting on detrital compositions. Includes an intuitive query-based user interface for users who are not proficient in R.
Author: Pieter Vermeesch [aut, cre]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>

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Package paramlink2 updated to version 1.0.3 with previous version 1.0.2 dated 2021-05-04

Title: Parametric Linkage Analysis
Description: Parametric linkage analysis of monogenic traits in medical pedigrees. Features include singlepoint analysis, multipoint analysis via 'MERLIN' (Abecasis et al. (2002) <doi:10.1038/ng786>), visualisation of log of the odds (LOD) scores and summaries of linkage peaks. Disease models may be specified to accommodate phenocopies, reduced penetrance and liability classes. 'paramlink2' is part of the 'ped suite' package ecosystem, presented in 'Pedigree Analysis in R' (Vigeland, 2021, ISBN:9780128244302).
Author: Magnus Dehli Vigeland [aut, cre] (<https://orcid.org/0000-0002-9134-4962>)
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

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Package orsifronts updated to version 0.2.0 with previous version 0.1.1 dated 2015-12-09

Title: Southern Ocean Frontal Distributions (Orsi)
Description: A data set package with the "Orsi" and "Park/Durand" fronts as 'SpatialLinesDataFrame' objects. The Orsi et al. (1995) fronts are published at the Southern Ocean Atlas Database Page, and the Park et al. (2019) fronts are published at the 'SEANOE' Altimetry-derived Antarctic Circumpolar Current fronts page, please see package CITATION for details.
Author: Michael D. Sumner [aut, cre]
Maintainer: Michael D. Sumner <mdsumner@gmail.com>

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Package dtrSurv updated to version 1.2 with previous version 1.1 dated 2020-12-15

Title: Dynamic Treatment Regimes for Survival Analysis
Description: Provides methods for estimating multi-stage optimal dynamic treatment regimes for survival outcomes with dependent censoring. Cho, H., Holloway, S. T., and Kosorok, M. R. (2020) <arXiv:2012.03294>.
Author: Shannon T. Holloway, Hunyong Cho
Maintainer: Shannon T. Holloway <sthollow@ncsu.edu>

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Package bcdata updated to version 0.2.4 with previous version 0.2.3 dated 2021-04-24

Title: Search and Retrieve Data from the BC Data Catalogue
Description: Search, query, and download tabular and 'geospatial' data from the British Columbia Data Catalogue (<https://catalogue.data.gov.bc.ca/>). Search catalogue data records based on keywords, data licence, sector, data format, and B.C. government organization. View metadata directly in R, download many data formats, and query 'geospatial' data available via the B.C. government Web Feature Service ('WFS') using 'dplyr' syntax.
Author: Andy Teucher [aut, cre] (<https://orcid.org/0000-0002-7840-692X>), Sam Albers [aut, ctb] (<https://orcid.org/0000-0002-9270-7884>), Stephanie Hazlitt [aut, ctb] (<https://orcid.org/0000-0002-3161-2304>), Province of British Columbia [cph]
Maintainer: Andy Teucher <andy.teucher@gov.bc.ca>

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Package psqn updated to version 0.2.1 with previous version 0.2.0 dated 2021-04-17

Title: Partially Separable Quasi-Newton
Description: Provides quasi-Newton methods to minimize partially separable functions. The methods are largely described by Nocedal and Wright (2006) <doi:10.1007/978-0-387-40065-5>.
Author: Benjamin Christoffersen [cre, aut] (<https://orcid.org/0000-0002-7182-1346>)
Maintainer: Benjamin Christoffersen <boennecd@gmail.com>

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Package Gmisc updated to version 2.0.2 with previous version 2.0.1 dated 2021-02-10

Title: Descriptive Statistics, Transition Plots, and More
Description: Tools for making the descriptive "Table 1" used in medical articles, a transition plot for showing changes between categories (also known as a Sankey diagram), flow charts by extending the grid package, a method for variable selection based on the SVD, Bézier lines with arrows complementing the ones in the 'grid' package, and more.
Author: Max Gordon <max@gforge.se>
Maintainer: Max Gordon <max@gforge.se>

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Package torchvision updated to version 0.3.0 with previous version 0.2.0 dated 2021-01-05

Title: Models, Datasets and Transformations for Images
Description: Provides access to datasets, models and preprocessing facilities for deep learning with images. Integrates seamlessly with the 'torch' package and it's 'API' borrows heavily from 'PyTorch' vision package.
Author: Daniel Falbel [aut, cre], RStudio [cph]
Maintainer: Daniel Falbel <daniel@rstudio.com>

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Package bayesdfa updated to version 0.1.7 with previous version 0.1.6 dated 2020-09-20

Title: Bayesian Dynamic Factor Analysis (DFA) with 'Stan'
Description: Implements Bayesian dynamic factor analysis with 'Stan'. Dynamic factor analysis is a dimension reduction tool for multivariate time series. 'bayesdfa' extends conventional dynamic factor models in several ways. First, extreme events may be estimated in the latent trend by modeling process error with a student-t distribution. Second, alternative constraints (including proportions are allowed). Third, the estimated dynamic factors can be analyzed with hidden Markov models to evaluate support for latent regimes.
Author: Eric J. Ward [aut, cre], Sean C. Anderson [aut], Luis A. Damiano [aut], Michael J. Malick [aut], Mary E. Hunsicker, [ctb], Mike A. Litzow [ctb], Mark D. Scheuerell [ctb], Elizabeth E. Holmes [ctb], Nick Tolimieri [ctb], Trustees of Columbia University [cph]
Maintainer: Eric J. Ward <eric.ward@noaa.gov>

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Package wsbackfit updated to version 1.0-5 with previous version 1.0-4 dated 2021-03-09

Title: Weighted Smooth Backfitting for Structured Models
Description: Non- and semiparametric regression for generalized additive, partial linear, and varying coefficient models as well as their combinations via smoothed backfitting. Based on Roca-Pardinas J and Sperlich S (2010) <doi:10.1007/s11222-009-9130-2>; Mammen E, Linton O and Nielsen J (1999) <doi:10.1214/aos/1017939138>; Lee YK, Mammen E, Park BU (2012) <doi:10.1214/12-AOS1026>.
Author: Javier Roca-Pardinas [aut, cre], Maria Xose Rodriguez-Alvarez [aut], Stefan Sperlich [aut], Alan Miller (FORTRAN code lsq.f90: weighted least-squares module) [ctb]
Maintainer: Javier Roca-Pardinas <roca@uvigo.es>

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Package spsComps updated to version 0.2 with previous version 0.1.1 dated 2021-03-09

Title: 'systemPipeShiny' UI and Server Components
Description: The systemPipeShiny (SPS) framework comes with many UI and server components. However, installing the whole framework is heavy and takes some time. If you would like to use UI and server components from SPS in your own Shiny apps, but do not want to install the whole framework, just install this package.
Author: Le Zhang [aut, cre]
Maintainer: Le Zhang <lezhang100@gmail.com>

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Package rprev updated to version 1.0.5 with previous version 1.0.4 dated 2020-03-20

Title: Estimating Disease Prevalence from Registry Data
Description: Estimates disease prevalence for a given index date using existing registry data extended with Monte Carlo simulations following the method of Crouch et al (2014) <doi: 10.1016/j.canep.2014.02.005>.
Author: Stuart Lacy [cre, aut], Simon Crouch [aut], Stephanie Lax [aut]
Maintainer: Stuart Lacy <stuart.lacy@york.ac.uk>

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Package KernelKnn updated to version 1.1.2 with previous version 1.1.1 dated 2021-05-03

Title: Kernel k Nearest Neighbors
Description: Extends the simple k-nearest neighbors algorithm by incorporating numerous kernel functions and a variety of distance metrics. The package takes advantage of 'RcppArmadillo' to speed up the calculation of distances between observations.
Author: Lampros Mouselimis [aut, cre] (<https://orcid.org/0000-0002-8024-1546>)
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

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Package av updated to version 0.6.0 with previous version 0.5.1 dated 2020-09-28

Title: Working with Audio and Video in R
Description: Bindings to 'FFmpeg' <http://www.ffmpeg.org/> AV library for working with audio and video in R. Generates high quality video from images or R graphics with custom audio. Also offers high performance tools for reading raw audio, creating 'spectrograms', and converting between countless audio / video formats. This package interfaces directly to the C API and does not require any command line utilities.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package autostsm updated to version 1.3 with previous version 1.2.2 dated 2021-04-07

Title: Automatic Structural Time Series Models
Description: Automatic model selection for structural time series decomposition into trend, cycle, and seasonal components using the Kalman filter. Koopman, Siem Jan and Marius Ooms (2012) "Forecasting Economic Time Series Using Unobserved Components Time Series Models" <doi:10.1093/oxfordhb/9780195398649.013.0006>. Kim, Chang-Jin and Charles R. Nelson (1999) "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications" <doi:10.7551/mitpress/6444.001.0001><http://econ.korea.ac.kr/~cjkim/>.
Author: Alex Hubbard
Maintainer: Alex Hubbard <hubbard.alex@gmail.com>

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Package rzmq updated to version 0.9.8 with previous version 0.9.7 dated 2020-01-31

Title: R Bindings for 'ZeroMQ'
Description: Interface to the 'ZeroMQ' lightweight messaging kernel (see <https://zeromq.org/> for more information).
Author: Whit Armstrong [aut], Michael Schubert [ctb], Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package SuperpixelImageSegmentation updated to version 1.0.4 with previous version 1.0.3 dated 2021-03-05

Title: Superpixel Image Segmentation
Description: Image Segmentation using Superpixels, Affinity Propagation and Kmeans Clustering. The R code is based primarily on the article "Image Segmentation using SLIC Superpixels and Affinity Propagation Clustering, Bao Zhou, International Journal of Science and Research (IJSR), 2013" <https://www.ijsr.net/archive/v4i4/SUB152869.pdf>.
Author: Lampros Mouselimis [aut, cre] (<https://orcid.org/0000-0002-8024-1546>)
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

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Package shar updated to version 1.2.1 with previous version 1.2 dated 2021-03-15

Title: Species-Habitat Associations
Description: Analyse species-habitat associations in R. Therefore, information about the location of the species is needed and about the environmental conditions. To test for significance habitat associations, one of the two components is randomized. Methods are mainly based on Plotkin et al. (2000) <doi:10.1006/jtbi.2000.2158> and Harms et al. (2001) <doi:10.1111/j.1365-2745.2001.00615.x>.
Author: Maximillian H.K. Hesselbarth [aut, cre] (<https://orcid.org/0000-0003-1125-9918>), Marco Sciaini [aut] (<https://orcid.org/0000-0002-3042-5435>)
Maintainer: Maximillian H.K. Hesselbarth <mhk.hesselbarth@gmail.com>

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Package zoolog updated to version 0.3.1 with previous version 0.3.0 dated 2021-04-07

Title: Zooarchaeological Analysis with Log-Ratios
Description: Includes functions and reference data to generate and manipulate log-ratios (also known as log size index (LSI) values) from measurements obtained on zooarchaeological material. Log ratios are used to compare the relative (rather than the absolute) dimensions of animals from archaeological contexts (Meadow 1999, ISBN: 9783896463883). zoolog is also able to seamlessly integrate data and references with heterogeneous nomenclature, which is internally managed by a zoolog thesaurus. A preliminary version of the zoolog methods was first used by Trentacoste, Nieto-Espinet, and Valenzuela-Lamas (2018) <doi:10.1371/journal.pone.0208109>.
Author: Jose M Pozo [aut, cre] (<https://orcid.org/0000-0002-0759-3510>), Silvia Valenzuela-Lamas [aut] (<https://orcid.org/0000-0001-9886-0372>), Angela Trentacoste [aut] (<https://orcid.org/0000-0001-7096-5252>), Ariadna Nieto-Espinet [aut] (<https://orcid.org/0000-0003-2567-1735>), Silvia Guimarães Chiarelli [aut] (<https://orcid.org/0000-0002-3778-3315>)
Maintainer: Jose M Pozo <josmpozo@gmail.com>

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Package sen2r updated to version 1.4.3 with previous version 1.4.2 dated 2021-03-04

Title: Find, Download and Process Sentinel-2 Data
Description: Functions to download Sentinel-2 optical images and perform preliminary processing operations. 'sen2r' provides the instruments required to easily perform (and eventually automate) the steps necessary to build a complete Sentinel-2 processing chain. A Graphical User Interface to facilitate data processing is also provided. For additional documentation refer to the following article: Ranghetti et al. (2020) <doi:10.1016/j.cageo.2020.104473>.
Author: Luigi Ranghetti [aut, cre] (<https://orcid.org/0000-0001-6207-5188>), Lorenzo Busetto [aut] (<https://orcid.org/0000-0001-9634-6038>)
Maintainer: Luigi Ranghetti <luigi@ranghetti.info>

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Package OpenImageR updated to version 1.1.8 with previous version 1.1.7 dated 2020-06-18

Title: An Image Processing Toolkit
Description: Incorporates functions for image preprocessing, filtering and image recognition. The package takes advantage of 'RcppArmadillo' to speed up computationally intensive functions. The histogram of oriented gradients descriptor is a modification of the 'findHOGFeatures' function of the 'SimpleCV' computer vision platform, the average_hash(), dhash() and phash() functions are based on the 'ImageHash' python library. The Gabor Feature Extraction functions are based on 'Matlab' code of the paper, "CloudID: Trustworthy cloud-based and cross-enterprise biometric identification" by M. Haghighat, S. Zonouz, M. Abdel-Mottaleb, Expert Systems with Applications, vol. 42, no. 21, pp. 7905-7916, 2015, <doi:10.1016/j.eswa.2015.06.025>. The 'SLIC' and 'SLICO' superpixel algorithms were explained in detail in (i) "SLIC Superpixels Compared to State-of-the-art Superpixel Methods", Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi, Pascal Fua, and Sabine Suesstrunk, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, num. 11, p. 2274-2282, May 2012, <doi:10.1109/TPAMI.2012.120> and (ii) "SLIC Superpixels", Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi, Pascal Fua, and Sabine Suesstrunk, EPFL Technical Report no. 149300, June 2010.
Author: Lampros Mouselimis [aut, cre] (<https://orcid.org/0000-0002-8024-1546>), Sight Machine [cph] (findHOGFeatures function of the SimpleCV computer vision platform), Johannes Buchner [cph] (average_hash, dhash and phash functions of the ImageHash python library), Mohammad Haghighat [cph] (Gabor Feature Extraction), Radhakrishna Achanta [cph] (Author of the C++ code of the SLIC and SLICO algorithms (for commercial use please contact the author))
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

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Package opencv updated to version 0.2.1 with previous version 0.2.0 dated 2020-09-24

Title: Bindings to 'OpenCV' Computer Vision Library
Description: Experimenting with computer vision and machine learning in R. This package exposes some of the available 'OpenCV' <https://opencv.org/> algorithms, such as edge, body or face detection. These can either be applied to analyze static images, or to filter live video footage from a camera device.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), Jan Wijffels [aut]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between opencv versions 0.2.0 dated 2020-09-24 and 0.2.1 dated 2021-05-04

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Permanent link

Package POFIBGE updated to version 0.1.2 with previous version 0.1.1 dated 2021-04-22

Title: Downloading, Reading and Analysing POF Microdata
Description: Provides tools for downloading, reading and analysing the POF, a household survey from Brazilian Institute of Geography and Statistics - IBGE. The data must be downloaded from the official website <https://www.ibge.gov.br/>. Further analysis must be made using package 'survey'.
Author: Gabriel Assuncao [aut, cre], Luna Hidalgo [aut], Douglas Braga [ctb]
Maintainer: Gabriel Assuncao <pacotesipd@ibge.gov.br>

Diff between POFIBGE versions 0.1.1 dated 2021-04-22 and 0.1.2 dated 2021-05-04

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Package PNADcIBGE updated to version 0.6.4 with previous version 0.6.3 dated 2021-04-22

Title: Downloading, Reading and Analysing PNADC Microdata
Description: Provides tools for downloading, reading and analysing the PNADC, a household survey from Brazilian Institute of Geography and Statistics - IBGE. The data must be downloaded from the official website <https://www.ibge.gov.br/>. Further analysis must be made using package 'survey'.
Author: Douglas Braga [aut], Gabriel Assuncao [aut, cre], Luna Hidalgo [ctb]
Maintainer: Gabriel Assuncao <pacotesipd@ibge.gov.br>

Diff between PNADcIBGE versions 0.6.3 dated 2021-04-22 and 0.6.4 dated 2021-05-04

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Package MAINT.Data updated to version 2.6.1 with previous version 2.6.0 dated 2021-04-26

Title: Model and Analyse Interval Data
Description: Implements methodologies for modelling interval data by Normal and Skew-Normal distributions, considering appropriate parameterizations of the variance-covariance matrix that takes into account the intrinsic nature of interval data, and lead to four different possible configuration structures. The Skew-Normal parameters can be estimated by maximum likelihood, while Normal parameters may be estimated by maximum likelihood or robust trimmed maximum likelihood methods.
Author: Pedro Duarte Silva <psilva@porto.ucp.pt>, Paula Brito <mpbrito.fep.up.pt>
Maintainer: Pedro Duarte Silva <psilva@porto.ucp.pt>

Diff between MAINT.Data versions 2.6.0 dated 2021-04-26 and 2.6.1 dated 2021-05-04

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Package COVIDIBGE updated to version 0.1.4 with previous version 0.1.3 dated 2021-04-22

Title: Downloading, Reading and Analysing PNAD COVID19 Microdata
Description: Provides tools for downloading, reading and analysing the PNAD COVID19, a household survey from Brazilian Institute of Geography and Statistics - IBGE. The data must be downloaded from the official website <https://www.ibge.gov.br/>. Further analysis must be made using package 'survey'.
Author: Gabriel Assuncao [aut, cre], Luna Hidalgo [aut], Douglas Braga [ctb]
Maintainer: Gabriel Assuncao <pacotesipd@ibge.gov.br>

Diff between COVIDIBGE versions 0.1.3 dated 2021-04-22 and 0.1.4 dated 2021-05-04

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Package Matrix updated to version 1.3-3 with previous version 1.3-2 dated 2021-01-06

Title: Sparse and Dense Matrix Classes and Methods
Description: A rich hierarchy of matrix classes, including triangular, symmetric, and diagonal matrices, both dense and sparse and with pattern, logical and numeric entries. Numerous methods for and operations on these matrices, using 'LAPACK' and 'SuiteSparse' libraries.
Author: Douglas Bates [aut], Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Timothy A. Davis [ctb] (SuiteSparse and 'cs' C libraries, notably CHOLMOD, AMD; collaborators listed in dir(pattern = '^[A-Z]+[.]txt$', full.names=TRUE, system.file('doc', 'SuiteSparse', package='Matrix'))), Jens Oehlschlägel [ctb] (initial nearPD()), Jason Riedy [ctb] (condest() and onenormest() for octave, Copyright: Regents of the University of California), R Core Team [ctb] (base R matrix implementation)
Maintainer: Martin Maechler <mmaechler+Matrix@gmail.com>

Diff between Matrix versions 1.3-2 dated 2021-01-06 and 1.3-3 dated 2021-05-04

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Package diptest updated to version 0.76-0 with previous version 0.75-7 dated 2015-06-08

Title: Hartigan's Dip Test Statistic for Unimodality - Corrected
Description: Compute Hartigan's dip test statistic for unimodality / multimodality and provide a test with simulation based p-values, where the original public code has been corrected.
Author: Martin Maechler (originally from Fortran and S-plus by Dario Ringach, NYU.edu)
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

Diff between diptest versions 0.75-7 dated 2015-06-08 and 0.76-0 dated 2021-05-04

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New package sharpshootR with initial version 1.8.1
Package: sharpshootR
Title: A Soil Survey Toolkit
Description: Miscellaneous soil data management, summary, visualization, and conversion utilities to support soil survey.
Version: 1.8.1
Date: 2021-05-03
Authors@R: c( person(given="Dylan", family="Beaudette", role = c("cre", "aut"), email = "dylan.beaudette@usda.gov"), person(given="Jay", family="Skovlin", role = c("aut")), person(given="Stephen", family="Roecker", role = c("aut")), person(given="USDA-NRCS Soil Survey Staff", family="", role = c("ctb")) )
Maintainer: Dylan Beaudette <dylan.beaudette@usda.gov>
LazyLoad: yes
LazyData: true
License: GPL (>= 3)
Repository: CRAN
URL: https://github.com/ncss-tech/aqp
BugReports: https://github.com/ncss-tech/aqp/issues
Suggests: MASS, rgdal, spdep, circlize, rvest, xml2, rgeos, raster, httr, jsonlite, dendextend, testthat, hydromad, latticeExtra, farver, venn, gower, daymetr, elevatr, Evapotranspiration, zoo
Depends: R (>= 3.5.0)
Imports: grDevices, graphics, methods, stats, utils, aqp, ape, soilDB, igraph, cluster, lattice, vegan, sp, reshape2, Hmisc, scales, circular, RColorBrewer, plyr, digest, e1071, stringi, parallel, curl, grid
Additional_repositories: http://hydromad.catchment.org
NeedsCompilation: no
Packaged: 2021-05-03 20:45:38 UTC; Dylan.Beaudette
Author: Dylan Beaudette [cre, aut], Jay Skovlin [aut], Stephen Roecker [aut], USDA-NRCS Soil Survey Staff [ctb]
Date/Publication: 2021-05-04 08:20:02 UTC

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New package Rage with initial version 1.0.0
Package: Rage
Title: Life History Metrics from Matrix Population Models
Version: 1.0.0
Authors@R: c( person(given = "Patrick", family = "Barks", email = "barks@biology.sdu.dk", role = "aut", comment = c(ORCID = "0000-0002-5947-8151")), person(given = "Danny", family = "Buss", email = "dlb50@cam.ac.uk", role = "ctb"), person(given = "Pol", family = "Capdevila", email = "pcapdevila.pc@gmail.com", role = "aut", comment = c(ORCID = "0000-0002-2842-4302")), person(given = "Hal", family = "Caswell", email = "h.caswell@uva.nl", role = "aut", comment = c(ORCID = "0000-0003-4394-6894")), person(given = c("Judy", "P."), family = "Che-Castaldo", email = "jchecastaldo@lpzoo.org", role = "aut", comment = c(ORCID = "0000-0002-9118-9202")), person(given = "John", family = "Jackson", email = "jjackson0308@gmail.com", role = "aut", comment = c(ORCID = "0000-0002-4563-2840")), person(given = "Tamora", family = "James", email = "tamoradjames@protonmail.com", role = "aut", comment = c(ORCID = "0000-0003-1363-4742")), person(given = "Owen", family = "Jones", email = "jones@biology.sdu.dk", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5720-4686")), person(given = "Sam", family = "Levin", role = "aut", email = "levisc8@gmail.com", comment = c(ORCID = "0000-0002-3289-9925")), person(given = "William K.", family = "Petry", email = "wpetry@ncsu.edu", role = "aut", comment = c(ORCID = "0000-0002-5230-5987")), person(given = "Roberto", family = "Salguero-Gomez", email = "rob.salguero@zoo.ox.ac.uk", role = "aut", comment = c(ORCID = "0000-0002-6085-4433")), person(given = "Caroline", family = "Schuette", email = "cschuette17@gmail.com", role = "ctb", comment = c(ORCID = "0000-0002-2063-8736")), person(given = "Iain", family = "Stott", email = "stott@biology.sdu.dk", role = "aut", comment = c(ORCID = "0000-0003-2724-7436")), person(given = c("Chelsea", "C."), family = "Thomas", email = "esochels@gmail.com", role = "aut", comment = c(ORCID = "0000-0002-8155-9353")))
Description: Functions for calculating life history metrics using matrix population models ('MPMs'). Described in Jones et al. (2021) <doi:10.1101/2021.04.26.441330>.
URL: https://github.com/jonesor/Rage
BugReports: https://github.com/jonesor/Rage/issues
License: GPL-3
Imports: popbio, popdemo, MASS, DiagrammeR, Rcompadre
Encoding: UTF-8
LazyData: true
Depends: R(>= 3.5.0)
Suggests: spelling, ggplot2, ggtern, knitr, rmarkdown, fields, scales, vcd, testthat, covr
VignetteBuilder: knitr
Language: en-GB
Config/testthat/parallel: true
NeedsCompilation: no
Packaged: 2021-05-03 20:21:42 UTC; jones
Author: Patrick Barks [aut] (<https://orcid.org/0000-0002-5947-8151>), Danny Buss [ctb], Pol Capdevila [aut] (<https://orcid.org/0000-0002-2842-4302>), Hal Caswell [aut] (<https://orcid.org/0000-0003-4394-6894>), Judy P. Che-Castaldo [aut] (<https://orcid.org/0000-0002-9118-9202>), John Jackson [aut] (<https://orcid.org/0000-0002-4563-2840>), Tamora James [aut] (<https://orcid.org/0000-0003-1363-4742>), Owen Jones [aut, cre] (<https://orcid.org/0000-0001-5720-4686>), Sam Levin [aut] (<https://orcid.org/0000-0002-3289-9925>), William K. Petry [aut] (<https://orcid.org/0000-0002-5230-5987>), Roberto Salguero-Gomez [aut] (<https://orcid.org/0000-0002-6085-4433>), Caroline Schuette [ctb] (<https://orcid.org/0000-0002-2063-8736>), Iain Stott [aut] (<https://orcid.org/0000-0003-2724-7436>), Chelsea C. Thomas [aut] (<https://orcid.org/0000-0002-8155-9353>)
Maintainer: Owen Jones <jones@biology.sdu.dk>
Repository: CRAN
Date/Publication: 2021-05-04 08:10:03 UTC

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New package DTwrappers with initial version 0.0.1
Package: DTwrappers
Title: Simplified Data Analysis with Wrapper Functions for the 'Data.Table' Package
Version: 0.0.1
Authors@R: c( person("David", "Shilane", , "david.shilane@columbia.edu", c("aut")), person("Mayur", "Bansal", , "mb4511@columbia.edu", c("ctb","cre")) )
Depends: R (>= 3.1.0)
Description: Provides functionality for users who are learning R or the techniques of data analysis. Written as a collection of wrapper functions, the 'DTwrapper' package facilitates many core operations of data processing. This is achieved with relatively few requirements about the order of the processing steps or knowledge of specialized syntax. 'DTwrappers' creates coding results along with translations to data.table's code. This enables users to benefit from the speed and efficiency of data.table's calculations. Furthermore, the package also provides the translated code for educational purposes so that users can review working examples of coding syntax and calculations.
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown, covr, testthat (>= 2.1.0)
VignetteBuilder: knitr
Imports: data.table
NeedsCompilation: no
Packaged: 2021-05-04 03:32:59 UTC; mayurbansal
Author: David Shilane [aut], Mayur Bansal [ctb, cre]
Maintainer: Mayur Bansal <mb4511@columbia.edu>
Repository: CRAN
Date/Publication: 2021-05-04 08:40:05 UTC

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New package bayesZIB with initial version 0.0.1
Package: bayesZIB
Title: Bayesian Zero-Inflated Bernoulli Regression Model
Version: 0.0.1
Encoding: UTF-8
Authors@R: c(person(given = "David", family = "Moriña Soler", role = c("aut", "cre"), email = "dmorina@ub.edu", comment = c(ORCID = "0000-0001-5949-7443")), person(given = "Pedro", family = "Puig", role = c("aut"), email = "ppuig@mat.uab.cat"), person(given = "Albert", family = "Navarro", role = c("aut"), email = "albert.navarro@uab.cat"))
Maintainer: David Moriña Soler <dmorina@ub.edu>
Description: Fits a Bayesian zero-inflated Bernoulli regression model handling (potentially) different covariates for the zero-inflated and non zero-inflated parts. See Moriña D, Puig P, Navarro A. (2020) <arXiv:2105.00700>.
License: GPL (>= 2)
Biarch: true
Depends: R (>= 3.4.0)
Imports: methods, Rcpp (>= 0.12.0), rstan (>= 2.18.1), ggplot2
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
NeedsCompilation: yes
SystemRequirements: GNU make
Packaged: 2021-05-04 05:03:45 UTC; dmorina
Author: David Moriña Soler [aut, cre] (<https://orcid.org/0000-0001-5949-7443>), Pedro Puig [aut], Albert Navarro [aut]
Repository: CRAN
Date/Publication: 2021-05-04 08:40:02 UTC

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Package supernova updated to version 2.4.0 with previous version 2.3.0 dated 2021-01-12

Title: Judd, McClelland, & Ryan Formatting for ANOVA Output
Description: Produces ANOVA tables in the format used by Judd, McClelland, and Ryan (2017, ISBN: 978-1138819832) in their introductory textbook, Data Analysis. This includes proportional reduction in error and formatting to improve ease the transition between the book and R.
Author: Adam Blake [aut] (<https://orcid.org/0000-0001-7881-8652>), Jeff Chrabaszcz [aut], Ji Son [aut] (<https://orcid.org/0000-0002-4258-4791>), Jim Stigler [cre, aut] (<https://orcid.org/0000-0001-6107-7827>)
Maintainer: Jim Stigler <jstigler@gmail.com>

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New package stockfish with initial version 0.1.2
Package: stockfish
Title: Analyze Chess Games with the 'Stockfish' Engine
Version: 0.1.2
Authors@R: c(person(given = "Caio", family = "Lente", role = c("aut", "cre"), email = "clente@curso-r.com"), person(given = "Tord", family = "Romstad", role = "ctb"), person(given = "Marco", family = "Costalba", role = "ctb"), person(given = "Joona", family = "Kiiski", role = "ctb"), person(given = "Gary", family = "Linscott", role = "ctb"))
Description: An implementation of the UCI open communication protocol that ships with 'Stockfish 11' <https://stockfishchess.org/>, a very popular, open source, powerful chess engine written in C++.
License: GPL (>= 3)
URL: https://github.com/curso-r/stockfish
BugReports: https://github.com/curso-r/stockfish/issues
Imports: processx, R6
Suggests: covr, testthat (>= 3.0.0)
Encoding: UTF-8
SystemRequirements: C++11, and GCC or clang
NeedsCompilation: yes
Packaged: 2021-05-03 21:28:47 UTC; clente
Author: Caio Lente [aut, cre], Tord Romstad [ctb], Marco Costalba [ctb], Joona Kiiski [ctb], Gary Linscott [ctb]
Maintainer: Caio Lente <clente@curso-r.com>
Repository: CRAN
Date/Publication: 2021-05-04 07:30:02 UTC

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New package Recocrop with initial version 0.3-2
Package: Recocrop
Title: Ecocrop: Estimating Environmental Suitability for Plants
Description: The ecocrop model estimates environmental suitability for plants using a limiting factor approach for plant growth following Hackett (1991) <doi:10.1007/BF00045728>. The implementation in this package is fast and flexible: it allows for the use of any (environmental) predictor variable. Predictors can be either static (for example, soil pH) or dynamic (for example, monthly precipitation).
Version: 0.3-2
Date: 2021-05-03
LinkingTo: Rcpp
SystemRequirements: C++11
Imports: meteor, terra (>= 1.1-4), methods (>= 0.2-2), Rcpp (>= 0.12.4)
Depends: R (>= 3.5.0)
Authors@R: c(person("Robert J.", "Hijmans", role = c("cre", "aut"), email = "r.hijmans@gmail.com"), person("Rhys", "Manners", role = "ctb"))
License: GPL (>= 3)
BugReports: https://github.com/cropmodels/Recocrop/issues
URL: https://github.com/cropmodels/Recocrop/
NeedsCompilation: yes
Packaged: 2021-05-04 01:35:15 UTC; rhijm
Author: Robert J. Hijmans [cre, aut], Rhys Manners [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-04 07:30:05 UTC

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Package LSMRealOptions updated to version 0.2.0 with previous version 0.1.0 dated 2021-01-21

Title: Value American and Real Options Through LSM Simulation
Description: The least-squares Monte Carlo (LSM) simulation method is a popular method for the approximation of the value of early and multiple exercise options. 'LSMRealOptions' provides implementations of the LSM simulation method to value American option products and capital investment projects through real options analysis. 'LSMRealOptions' values capital investment projects with cash flows dependent upon underlying state variables that are stochastically evolving, providing analysis into the timing and critical values at which investment is optimal. 'LSMRealOptions' provides flexibility in the stochastic processes followed by underlying assets, the number of state variables, basis functions and underlying asset characteristics to allow a broad range of assets to be valued through the LSM simulation method. Real options projects are further able to be valued whilst considering construction periods, time-varying initial capital expenditures and path-dependent operational flexibility including the ability to temporarily shutdown or permanently abandon projects after initial investment has occurred. The LSM simulation method was first presented in the prolific work of Longstaff and Schwartz (2001) <doi:10.1093/rfs/14.1.113>.
Author: Thomas Aspinall [aut, cre] (<https://orcid.org/0000-0002-6968-1989>), Adrian Gepp [aut] (<https://orcid.org/0000-0003-1666-5501>), Geoff Harris [aut] (<https://orcid.org/0000-0003-4284-8619>), Simone Kelly [aut] (<https://orcid.org/0000-0002-6528-8557>), Colette Southam [aut] (<https://orcid.org/0000-0001-7263-2347>), Bruce Vanstone [aut] (<https://orcid.org/0000-0002-3977-2468>)
Maintainer: Thomas Aspinall <tomaspinall2512@gmail.com>

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Package FKF.SP updated to version 0.1.2 with previous version 0.1.1 dated 2021-01-29

Title: Fast Kalman Filtering Through Sequential Processing
Description: Fast and flexible Kalman filtering implementation utilizing sequential processing, designed for efficient parameter estimation through maximum likelihood estimation. Sequential processing is a univariate treatment of a multivariate series of observations and can benefit from computational efficiency over traditional Kalman filtering when independence is assumed in the variance of the disturbances of the measurement equation. Sequential processing is described in the textbook of Durbin and Koopman (2001, ISBN:978-0-19-964117-8). 'FKF.SP' was built upon the existing 'FKF' package and is, in general, a faster Kalman filter.
Author: Thomas Aspinall [aut, cre] (<https://orcid.org/0000-0002-6968-1989>), Adrian Gepp [aut] (<https://orcid.org/0000-0003-1666-5501>), Geoff Harris [aut] (<https://orcid.org/0000-0003-4284-8619>), Simone Kelly [aut] (<https://orcid.org/0000-0002-6528-8557>), Colette Southam [aut] (<https://orcid.org/0000-0001-7263-2347>), Bruce Vanstone [aut] (<https://orcid.org/0000-0002-3977-2468>), David Luethi [ctb], Philipp Erb [ctb], Simon Otziger [ctb], Paul Smith [ctb] (<https://orcid.org/0000-0002-0034-3412>)
Maintainer: Thomas Aspinall <tomaspinall2512@gmail.com>

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New package AtmChile with initial version 0.1.0
Package: AtmChile
Title: Download Air Quality and Meteorological Information of Chile
Version: 0.1.0
Authors@R: c(person("Francisco", "Catalan Meyer", email = "francisco.catalan@ug.uchile.cl", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-3506-5376")), person("Manuel", "Leiva", email = "MANLEIVA@uchile.cl", role = c("aut"), comment = c(ORCID = "0000-0001-8891-0399")), person("Richard", "Toro", email = "rtoro81@uchile.cl", role = c("aut")) )
Maintainer: Francisco Catalan Meyer <francisco.catalan@ug.uchile.cl>
Description: Download air quality and meteorological information of Chile from the National Air Quality System (S.I.N.C.A.)<https://sinca.mma.gob.cl/> dependent on the Ministry of the Environment and the Meteorological Directorate of Chile (D.M.C.)<http://www.meteochile.gob.cl/> dependent on the Directorate General of Civil Aeronautics.
License: GPL-3
URL: https://github.com/franciscoxaxo/AtmChile
Encoding: UTF-8
LazyData: false
Imports: data.table
NeedsCompilation: no
Packaged: 2021-05-04 01:50:06 UTC; PC
Author: Francisco Catalan Meyer [aut, cre] (<https://orcid.org/0000-0003-3506-5376>), Manuel Leiva [aut] (<https://orcid.org/0000-0001-8891-0399>), Richard Toro [aut]
Repository: CRAN
Date/Publication: 2021-05-04 07:40:02 UTC

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Package Andromeda updated to version 0.4.1 with previous version 0.4.0 dated 2020-10-30

Title: Asynchronous Disk-Based Representation of Massive Data
Description: Storing very large data objects on a local drive, while still making it possible to manipulate the data in an efficient manner.
Author: Adam Black [aut, cre], Martijn Schuemie [aut], Marc A. Suchard [aut], Observational Health Data Science and Informatics [cph]
Maintainer: Adam Black <black@ohdsi.org>

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New package TriDimRegression with initial version 1.0.0.0
Package: TriDimRegression
Title: Bayesian Statistics for 2D/3D Transformations
Version: 1.0.0.0
Authors@R: c( person("Alexander (Sasha)", "Pastukhov", role = c("cre", "ctb"), email ="pastukhov.alexander@gmail.com"), person("Claus-Christian", "Carbon", role = c("aut"), email ="ccc@experimental-psychology.com"))
Description: Fits 2D and 3D geometric transformations via 'Stan' probabilistic programming engine ( Stan Development Team (2021) <https://mc-stan.org>). Returns posterior distribution for individual parameters of the fitted distribution. Allows for computation of LOO and WAIC information criteria (Vehtari A, Gelman A, Gabry J (2017) <doi:10.1007/s11222-016-9696-4>) as well as Bayesian R-squared (Gelman A, Goodrich B, Gabry J, and Vehtari A (2018) <doi:10.1080/00031305.2018.1549100>).
License: GPL-3
URL: https://github.com/alexander-pastukhov/tridim-regression
BugReports: https://github.com/alexander-pastukhov/tridim-regression/issues
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Biarch: true
Depends: R (>= 3.5.0), loo
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.1.1), dplyr, future, glue, purrr, tidyr, Formula, bayesplot
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
SystemRequirements: GNU make
Suggests: testthat, knitr, rmarkdown, ggplot2
NeedsCompilation: yes
Packaged: 2021-05-03 16:30:38 UTC; sasha
Author: Alexander (Sasha) Pastukhov [cre, ctb], Claus-Christian Carbon [aut]
Maintainer: Alexander (Sasha) Pastukhov <pastukhov.alexander@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-04 07:00:16 UTC

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New package timsr with initial version 0.0.2
Package: timsr
Title: Easily Access timsTOF Data
Version: 0.0.2
Authors@R: c(person(given = "Mateusz Krzysztof", family = "Łącki", role = c("aut","cre","cph"), email = "matteo.lacki@gmail.com", comment = c(ORCID = "0000-0001-7415-4748")), person(given = "Michał Piotr", family = "Startek", role = c("aut","cph"), email="michal.startek@mimuw.edu.pl", comment=c(ORCID="0000-0001-5227-3447")) )
Maintainer: Mateusz Krzysztof Łącki <matteo.lacki@gmail.com>
Description: Access 'timsTOF' mass spectrometry data, as described <https://sso.bruker.com/auth/realms/bruker/protocol/openid-connect/auth?client_id=aem-bruker.com&redirect_uri=https%3A%2F%2Fwww.bruker.com%2Fen.login.html%3FtargetUrl%3Dhttps%3A%2F%2Fwww.bruker.com%2Fen%2Fservices%2Fsoftware-downloads%2Fmass-spectrometry.html&response_type=id_token%20token&scope=openid%20profile&state=4f9d225e92f341cca3b03a55533dbd65&nonce=f550633b1e984ecfb07979ae6d9277b4&ui_locales=en> (after registering), using the 'OpenTIMS' C++ reader and save all into 'data.tables'.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.0.0)
Imports: opentimsr, data.table, methods
NeedsCompilation: no
Packaged: 2021-05-03 09:22:02 UTC; matteo
Author: Mateusz Krzysztof Łącki [aut, cre, cph] (<https://orcid.org/0000-0001-7415-4748>), Michał Piotr Startek [aut, cph] (<https://orcid.org/0000-0001-5227-3447>)
Repository: CRAN
Date/Publication: 2021-05-04 06:30:02 UTC

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Package tcl updated to version 0.1.1 with previous version 0.1.0 dated 2019-09-20

Title: Testing in Conditional Likelihood Context
Description: An implementation of hypothesis testing in an extended Rasch modelling framework, including sample size planning procedures and power computations. Provides 4 statistical tests, i.e., gradient test (GR), likelihood ratio test (LR), Rao score or Lagrange multiplier test (RS), and Wald test, for testing a number of hypotheses referring to the Rasch model (RM), linear logistic test model (LLTM), rating scale model (RSM), and partial credit model (PCM). Three types of functions for power and sample size computations are provided. Firstly, functions to compute the sample size given a user-specified (predetermined) deviation from the hypothesis to be tested, the level alpha, and the power of the test. Secondly, functions to evaluate the power of the tests given a user-specified (predetermined) deviation from the hypothesis to be tested, the level alpha of the test, and the sample size. Thirdly, functions to evaluate the so-called post hoc power of the tests. This is the power of the tests given the observed deviation of the data from the hypothesis to be tested and a user-specified level alpha of the test. Power and sample size computations are based on a Monte Carlo simulation approach. It is computationally very efficient. The variance of the random error in computing power and sample size arising from the simulation approach is analytically derived by using the delta method. Draxler, C., & Alexandrowicz, R. W. (2015), <doi:10.1007/s11336-015-9472-y>.
Author: Clemens Draxler [aut, cre], Andreas Kurz [aut]
Maintainer: Clemens Draxler <clemens.draxler@umit.at>

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New package sendgridr with initial version 0.2.4
Package: sendgridr
Title: Mail Sender Using 'Sendgrid' Service
Version: 0.2.4
Authors@R: person(given = "Chanyub", family = "Park", role = c("aut","cre"), email = "mrchypark@gmail.com", comment = c(ORCID = "0000-0001-6474-2570"))
Description: Send email using 'Sendgrid' <https://sendgrid.com/> mail API(v3) <https://sendgrid.com/docs/api-reference/>.
License: MIT + file LICENSE
URL: https://github.com/mrchypark/sendgridr
BugReports: https://github.com/mrchypark/sendgridr/issues
Imports: magrittr, httr, jsonlite, usethis, tidyr, tibble, glue, clipr, crayon, desc, rlang, clisymbols, base64enc, dplyr, fs, stringr
Encoding: UTF-8
Depends: R (>= 3.1)
Suggests: covr, testthat
NeedsCompilation: no
Packaged: 2021-05-03 11:54:42 UTC; sktelecom
Author: Chanyub Park [aut, cre] (<https://orcid.org/0000-0001-6474-2570>)
Maintainer: Chanyub Park <mrchypark@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-04 06:30:05 UTC

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New package seedreg with initial version 1.0.0
Package: seedreg
Title: Regression Analysis for Seed Germination as a Function of Temperature
Version: 1.0.0
Date: 2021-04-29
Authors@R: c(person("Gabriel Danilo","Shimizu", role = c("aut", "cre"), email = "shimizu@uel.br", comment = c(ORCID = "0000-0001-8524-508X")), person("Hugo Roldi", "Guariz", role = c("aut","ctb"), comment = c(ORCID = "0000-0003-4343-379X")), person("Leandro Simoes Azeredo", "Goncalves", role = c("aut","ctb")))
Maintainer: Gabriel Danilo Shimizu <shimizu@uel.br>
Description: Regression analysis using common models in seed temperature studies, such as the Gaussian model (Martins, JF, Barroso, AAM, & Alves, PLCA (2017) <doi:10.1590/s0100-83582017350100039>), quadratic (Nunes, AL, Sossmeier, S, Gotz, AP, & Bispo, NB (2018) <doi:10.17265/2161-6264/2018.06.002>) and others with potential for use, such as those implemented in the 'drc' package (Ritz, C, Baty, F, Streibig, JC, & Gerhard, D (2015). <doi:10.1371/journal.pone.0146021>), in the estimation of the ideal and cardinal temperature for the occurrence of plant seed germination. The functions return graphs with the equations automatically.
License: GPL (>= 2)
Imports: drc, ggplot2, car, crayon, emmeans, multcomp, hnp, boot, multcompView
Depends: R (>= 4.0)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2021-05-03 12:41:14 UTC; Gabriel
Author: Gabriel Danilo Shimizu [aut, cre] (<https://orcid.org/0000-0001-8524-508X>), Hugo Roldi Guariz [aut, ctb] (<https://orcid.org/0000-0003-4343-379X>), Leandro Simoes Azeredo Goncalves [aut, ctb]
Repository: CRAN
Date/Publication: 2021-05-04 06:50:02 UTC

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Package RcppParallel updated to version 5.1.4 with previous version 5.1.3 dated 2021-05-03

Title: Parallel Programming Tools for 'Rcpp'
Description: High level functions for parallel programming with 'Rcpp'. For example, the 'parallelFor()' function can be used to convert the work of a standard serial "for" loop into a parallel one and the 'parallelReduce()' function can be used for accumulating aggregate or other values.
Author: JJ Allaire [aut], Romain Francois [aut, cph], Kevin Ushey [aut, cre], Gregory Vandenbrouck [aut], Marcus Geelnard [aut, cph] (TinyThread library, https://tinythreadpp.bitsnbites.eu/), Hamada S. Badr [ctb] (<https://orcid.org/0000-0002-9808-2344>), RStudio [cph], Intel [aut, cph] (Intel TBB library, https://www.threadingbuildingblocks.org/), Microsoft [cph]
Maintainer: Kevin Ushey <kevin@rstudio.com>

Diff between RcppParallel versions 5.1.3 dated 2021-05-03 and 5.1.4 dated 2021-05-04

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New package platowork with initial version 0.0.1
Package: platowork
Title: Data from a Test of the PlatoWork tDCS Headset
Version: 0.0.1
Authors@R: person(given = "Lasse", family = "Hjorth Madsen", role = c("aut", "cre"), email = "lassehjorthmadsen@gmail.com")
Description: Data and analysis from an experiment with improving touch typing speed, using the tDCS PlatoWork headset produced by PlatoScience.
URL: https://github.com/lassehjorthmadsen/platowork
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Suggests: dplyr, ggplot2, knitr, purrr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-03 14:02:35 UTC; Lasse
Author: Lasse Hjorth Madsen [aut, cre]
Maintainer: Lasse Hjorth Madsen <lassehjorthmadsen@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-04 06:50:05 UTC

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New package paramlink2 with initial version 1.0.2
Package: paramlink2
Title: Parametric Linkage Analysis
Version: 1.0.2
Authors@R: person("Magnus Dehli", "Vigeland", email = "m.d.vigeland@medisin.uio.no", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-9134-4962"))
Description: Parametric linkage analysis of monogenic traits in medical pedigrees. Features include singlepoint analysis, multipoint analysis via 'MERLIN' (Abecasis et al. (2002) <doi:10.1038/ng786>), visualisation of log of the odds (LOD) scores and summaries of linkage peaks. Disease models may be specified to accommodate phenocopies, reduced penetrance and liability classes. 'paramlink2' is part of the 'ped suite' package ecosystem, presented in 'Pedigree Analysis in R' (Vigeland, 2021, ISBN:9780128244302).
License: GPL-3
URL: https://github.com/magnusdv/paramlink2
Encoding: UTF-8
Language: en-GB
LazyData: true
Depends: R (>= 3.5), pedtools
Imports: pedprobr
Suggests: spelling, testthat
BugReports: https://github.com/magnusdv/paramlink2/issues
NeedsCompilation: no
Packaged: 2021-05-03 09:20:42 UTC; magnusdv
Author: Magnus Dehli Vigeland [aut, cre] (<https://orcid.org/0000-0002-9134-4962>)
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>
Repository: CRAN
Date/Publication: 2021-05-04 06:30:09 UTC

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Package nimbleEcology updated to version 0.4.0 with previous version 0.3.1 dated 2020-09-25

Title: Distributions for Ecological Models in 'nimble'
Description: Common ecological distributions for 'nimble' models in the form of nimbleFunction objects. Includes Cormack-Jolly-Seber, occupancy, dynamic occupancy, hidden Markov, dynamic hidden Markov, and N-mixture models. (Jolly (1965) <DOI: 10.2307/2333826>, Seber (1965) <DOI: 10.2307/2333827>, Turek et al. (2016) <doi:10.1007/s10651-016-0353-z>).
Author: Benjamin R. Goldstein [aut, cre], Daniel Turek [aut], Lauren Ponisio [aut], Perry de Valpine [aut]
Maintainer: Benjamin R. Goldstein <ben.goldstein@berkeley.edu>

Diff between nimbleEcology versions 0.3.1 dated 2020-09-25 and 0.4.0 dated 2021-05-04

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Package graticule updated to version 0.1.6 with previous version 0.1.2 dated 2016-02-02

Title: Meridional and Parallel Lines for Maps
Description: Create graticule lines and labels for maps. Control the creation of lines by setting their placement (at particular meridians and parallels) and extent (along parallels and meridians). Labels are created independently of lines.
Author: Michael D. Sumner [aut, cre]
Maintainer: Michael D. Sumner <mdsumner@gmail.com>

Diff between graticule versions 0.1.2 dated 2016-02-02 and 0.1.6 dated 2021-05-04

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New package DockerParallel with initial version 1.0.0
Package: DockerParallel
Title: Using the Docker Container to Create R Workers on Local or Cloud Platform
Version: 1.0.0
Authors@R: person(given = "Jiefei", family = "Wang", role = c("aut", "cre"), email = "szwjf08@gmail.com")
Description: This is the core package that provides both the user API and developer API to deploy the parallel cluster on the cloud using the container service. The user can call clusterPreset() to define the cloud service provider and container and makeDockerCluster() to create the cluster. The developer should see "developer's cookbook" on how to define the cloud provider and container.
Imports: adagio, methods, utils
License: GPL-3
Encoding: UTF-8
Suggests: markdown, knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-03 09:59:08 UTC; Zhou Jin
Author: Jiefei Wang [aut, cre]
Maintainer: Jiefei Wang <szwjf08@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-04 06:30:12 UTC

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New package covidcast with initial version 0.4.2
Package: covidcast
Title: Client for Delphi's 'COVIDcast Epidata' API
Version: 0.4.2
Date: 2021-04-30
Authors@R: c( person(given = "Taylor", family = "Arnold", role = "aut"), person(given = "Jacob", family = "Bien", role = "aut"), person(given = "Logan", family = "Brooks", role = "aut"), person(given = "Sarah", family = "Colquhoun", role = "aut"), person(given = "David", family = "Farrow", role = "aut"), person(given = "Jed", family = "Grabman", role = "ctb"), person(given = "Pedrito", family = "Maynard-Zhang", role = "ctb"), person(given = "Alex", family = "Reinhart", role = c("aut", "cre"), email = "areinhar@stat.cmu.edu", comment = c(ORCID = "0000-0002-6658-514X")), person(given = "Ryan", family = "Tibshirani", role = "aut"))
URL: https://cmu-delphi.github.io/covidcast/covidcastR/, https://github.com/cmu-delphi/covidcast
BugReports: https://github.com/cmu-delphi/covidcast/issues
Description: Tools for Delphi's 'COVIDcast Epidata' API: data access, maps and time series plotting, and basic signal processing. The API includes a collection of numerous indicators relevant to the COVID-19 pandemic in the United States, including official reports, de-identified aggregated medical claims data, large-scale surveys of symptoms and public behavior, and mobility data, typically updated daily and at the county level. All data sources are documented at <https://cmu-delphi.github.io/delphi-epidata/api/covidcast.html>.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, ggplot2, grDevices, httr, MMWRweek, purrr, rlang, sf, tidyr
Suggests: gridExtra, httptest, knitr, mockery, rmarkdown, testthat, tibble, vdiffr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-03 14:39:28 UTC; alexreinhart
Author: Taylor Arnold [aut], Jacob Bien [aut], Logan Brooks [aut], Sarah Colquhoun [aut], David Farrow [aut], Jed Grabman [ctb], Pedrito Maynard-Zhang [ctb], Alex Reinhart [aut, cre] (<https://orcid.org/0000-0002-6658-514X>), Ryan Tibshirani [aut]
Maintainer: Alex Reinhart <areinhar@stat.cmu.edu>
Repository: CRAN
Date/Publication: 2021-05-04 07:00:12 UTC

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New package BI with initial version 1.0.0
Package: BI
Version: 1.0.0
Date: 2021-05-03
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.
Authors@R: c(person("Marc", "Schwartz", role = c("aut", "cre"), email = "marc_schwartz@me.com"), person("Nate", "Mercaldo", role = "aut", email = "nmercaldo@mgh.harvard.edu"))
License: GPL-3
URL: https://github.com/marcschwartz/BI
BugReports: https://github.com/marcschwartz/BI/issues
NeedsCompilation: no
Packaged: 2021-05-03 14:37:37 UTC; marcschwartz
Author: Marc Schwartz [aut, cre], Nate Mercaldo [aut]
Maintainer: Marc Schwartz <marc_schwartz@me.com>
Repository: CRAN
Date/Publication: 2021-05-04 06:50:08 UTC

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New package BayesDesign with initial version 0.1.1
Package: BayesDesign
Title: Bayesian Single-Arm Design with Survival Endpoints
Version: 0.1.1
Authors@R: c(person("Chia-Wei", "Hsu", role = c("aut", "cre"), email = "Chia-Wei.Hsu@stjude.org"), person("Haitao", "Pan", role = "aut"), person("Jianrong", "Wu", role = "aut"))
Description: The proposed event-driven approach for Bayesian two-stage single-arm phase II trial design is a novel clinical trial design and can be regarded as an extension of the Simon’s two-stage design with the time-to-event endpoint. This design is motivated by cancer clinical trials with immunotherapy and molecularly targeted therapy, in which time-to-event endpoint is often a desired endpoint.
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-05-03 03:22:23 UTC; chsu1
Author: Chia-Wei Hsu [aut, cre], Haitao Pan [aut], Jianrong Wu [aut]
Maintainer: Chia-Wei Hsu <Chia-Wei.Hsu@stjude.org>
Repository: CRAN
Date/Publication: 2021-05-04 06:30:16 UTC

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Package geojsonR updated to version 1.1.0 with previous version 1.0.9 dated 2021-03-07

Title: A GeoJson Processing Toolkit
Description: Includes functions for processing GeoJson objects <https://en.wikipedia.org/wiki/GeoJSON> relying on 'RFC 7946' <https://tools.ietf.org/pdf/rfc7946.pdf>. The geojson encoding is based on 'json11', a tiny JSON library for 'C++11' <https://github.com/dropbox/json11>. Furthermore, the source code is exported in R through the 'Rcpp' and 'RcppArmadillo' packages.
Author: Lampros Mouselimis [aut, cre] (<https://orcid.org/0000-0002-8024-1546>), Dropbox Inc [cph]
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

Diff between geojsonR versions 1.0.9 dated 2021-03-07 and 1.1.0 dated 2021-05-04

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Package elmNNRcpp updated to version 1.0.3 with previous version 1.0.2 dated 2020-06-13

Title: The Extreme Learning Machine Algorithm
Description: Training and predict functions for Single Hidden-layer Feedforward Neural Networks (SLFN) using the Extreme Learning Machine (ELM) algorithm. The ELM algorithm differs from the traditional gradient-based algorithms for very short training times (it doesn't need any iterative tuning, this makes learning time very fast) and there is no need to set any other parameters like learning rate, momentum, epochs, etc. This is a reimplementation of the 'elmNN' package using 'RcppArmadillo' after the 'elmNN' package was archived. For more information, see "Extreme learning machine: Theory and applications" by Guang-Bin Huang, Qin-Yu Zhu, Chee-Kheong Siew (2006), Elsevier B.V, <doi:10.1016/j.neucom.2005.12.126>.
Author: Lampros Mouselimis [aut, cre] (<https://orcid.org/0000-0002-8024-1546>), Alberto Gosso [aut]
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

Diff between elmNNRcpp versions 1.0.2 dated 2020-06-13 and 1.0.3 dated 2021-05-04

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Package dga updated to version 2.0.0 with previous version 1.2 dated 2015-04-16

Title: Capture-Recapture Estimation using Bayesian Model Averaging
Description: Performs Bayesian model averaging for capture-recapture. This includes code to stratify records, check the strata for suitable overlap to be used for capture-recapture, and some functions to plot the estimated population size.
Author: James Johndrow [aut], Kristian Lum [aut], Patrick Ball [aut], Olivier Binette [ctb, cre]
Maintainer: Olivier Binette <olivier.binette@gmail.com>

Diff between dga versions 1.2 dated 2015-04-16 and 2.0.0 dated 2021-05-04

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Package colorspace updated to version 2.0-1 with previous version 2.0-0 dated 2020-11-11

Title: A Toolbox for Manipulating and Assessing Colors and Palettes
Description: Carries out mapping between assorted color spaces including RGB, HSV, HLS, CIEXYZ, CIELUV, HCL (polar CIELUV), CIELAB, and polar CIELAB. Qualitative, sequential, and diverging color palettes based on HCL colors are provided along with corresponding ggplot2 color scales. Color palette choice is aided by an interactive app (with either a Tcl/Tk or a shiny graphical user interface) and shiny apps with an HCL color picker and a color vision deficiency emulator. Plotting functions for displaying and assessing palettes include color swatches, visualizations of the HCL space, and trajectories in HCL and/or RGB spectrum. Color manipulation functions include: desaturation, lightening/darkening, mixing, and simulation of color vision deficiencies (deutanomaly, protanomaly, tritanomaly). Details can be found on the project web page at <https://colorspace.R-Forge.R-project.org/> and in the accompanying scientific paper: Zeileis et al. (2020, Journal of Statistical Software, <doi:10.18637/jss.v096.i01>).
Author: Ross Ihaka [aut], Paul Murrell [aut] (<https://orcid.org/0000-0002-3224-8858>), Kurt Hornik [aut] (<https://orcid.org/0000-0003-4198-9911>), Jason C. Fisher [aut] (<https://orcid.org/0000-0001-9032-8912>), Reto Stauffer [aut] (<https://orcid.org/0000-0002-3798-5507>), Claus O. Wilke [aut] (<https://orcid.org/0000-0002-7470-9261>), Claire D. McWhite [aut] (<https://orcid.org/0000-0001-7346-3047>), Achim Zeileis [aut, cre] (<https://orcid.org/0000-0003-0918-3766>)
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package ClusterR updated to version 1.2.4 with previous version 1.2.3 dated 2021-05-03

Title: Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans, K-Medoids and Affinity Propagation Clustering
Description: Gaussian mixture models, k-means, mini-batch-kmeans, k-medoids and affinity propagation clustering with the option to plot, validate, predict (new data) and estimate the optimal number of clusters. The package takes advantage of 'RcppArmadillo' to speed up the computationally intensive parts of the functions. For more information, see (i) "Clustering in an Object-Oriented Environment" by Anja Struyf, Mia Hubert, Peter Rousseeuw (1997), Journal of Statistical Software, <doi:10.18637/jss.v001.i04>; (ii) "Web-scale k-means clustering" by D. Sculley (2010), ACM Digital Library, <doi:10.1145/1772690.1772862>; (iii) "Armadillo: a template-based C++ library for linear algebra" by Sanderson et al (2016), The Journal of Open Source Software, <doi:10.21105/joss.00026>; (iv) "Clustering by Passing Messages Between Data Points" by Brendan J. Frey and Delbert Dueck, Science 16 Feb 2007: Vol. 315, Issue 5814, pp. 972-976, <doi:10.1126/science.1136800>.
Author: Lampros Mouselimis [aut, cre] (<https://orcid.org/0000-0002-8024-1546>), Conrad Sanderson [cph] (Author of the C++ Armadillo library), Ryan Curtin [cph] (Author of the C++ Armadillo library), Siddharth Agrawal [cph] (Author of the C code of the Mini-Batch-Kmeans algorithm (https://github.com/siddharth-agrawal/Mini-Batch-K-Means)), Brendan Frey [cph] (Author of the matlab code of the Affinity propagation algorithm (for commercial use please contact the author of the matlab code)), Delbert Dueck [cph] (Author of the matlab code of the Affinity propagation algorithm)
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

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Package tibbrConnector (with last version 1.5.1) was removed from CRAN

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

2016-12-15 1.5.1
2013-06-27 1.5.0-71

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Package twowaytests updated to version 1.1 with previous version 1.0 dated 2020-11-25

Title: Two-Way Tests in Independent Groups Designs
Description: Performs two-way tests in independent groups designs; Parametric Bootstrap based Generalized Test and Generalized Pivotal Quantity based Generalized Test (Weerahandi and Krishnamoorthy, 2019) <doi:10.1080/03610926.2017.1419264>. The package performs descriptive statistics and graphical approaches. Moreover, it assesses variance homogeneity and normality of data in each group via tests and plots. All 'twowaytests' functions are designed for two-way layout.
Author: Osman Dag [aut, cre], Sam Weerahandi [aut], Malwane Ananda [aut]
Maintainer: Osman Dag <osman.dag@outlook.com>

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Package sfaR updated to version 0.1.0 with previous version 0.0.91 dated 2021-03-05

Title: Stochastic Frontier Analysis using R
Description: Maximum likelihood estimation for stochastic frontier analysis (SFA) of production (profit) and cost functions. The package includes several distributions for the one-sided error term (i.e. Rayleigh, Gamma, Weibull, lognormal, uniform, generalized exponential and truncated skewed Laplace) as well as the latent class stochastic frontier model (LCM) as described in Dakpo et al. (2021) <doi:10.1111/1477-9552.12422>. Several possibilities in terms of optimization algorithms are proposed.
Author: K Hervé Dakpo [aut], Yann Desjeux [aut, cre], Laure Latruffe [aut]
Maintainer: Yann Desjeux <yann.desjeux@inrae.fr>

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Package secrlinear updated to version 1.1.4 with previous version 1.1.1 dated 2017-12-12

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

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Package OrthoPanels updated to version 1.1-4 with previous version 1.1-3 dated 2019-05-09

Title: Dynamic Panel Models with Orthogonal Reparameterization of Fixed Effects
Description: Implements the orthogonal reparameterization approach recommended by Lancaster (2002) to estimate dynamic panel models with fixed effects (and optionally: panel specific intercepts). The approach uses a likelihood-based estimator and produces estimates that are asymptotically unbiased as N goes to infinity, with a T as low as 2.
Author: Davor Cubranic [aut], Mark Pickup [aut, cre], Paul Gustafson [aut], Geoffrey Evans [aut], Jonoska Stojkova Biljana [ctb]
Maintainer: Mark Pickup <mark.pickup@sfu.ca>

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Package future.callr updated to version 0.6.1 with previous version 0.6.0 dated 2021-01-04

Title: A Future API for Parallel Processing using 'callr'
Description: Implementation of the Future API on top of the 'callr' package. This allows you to process futures, as defined by the 'future' package, in parallel out of the box, on your local (Linux, macOS, Windows, ...) machine. Contrary to backends relying on the 'parallel' package (e.g. 'future::multisession') and socket connections, the 'callr' backend provided here can run more than 125 parallel R processes.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package eSDM updated to version 0.3.7 with previous version 0.3.5 dated 2020-09-06

Title: Ensemble Tool for Predictions from Species Distribution Models
Description: A tool which allows users to create and evaluate ensembles of species distribution model (SDM) predictions. Functionality is offered through R functions or a GUI (R Shiny app). This tool can assist users in identifying spatial uncertainties and making informed conservation and management decisions. The package is further described in Woodman et al (2019) <doi:10.1111/2041-210X.13283>.
Author: Sam Woodman [aut, cre] (<https://orcid.org/0000-0001-6071-8186>)
Maintainer: Sam Woodman <sam.woodman@noaa.gov>

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