Tue, 04 Feb 2020

Package xpose updated to version 0.4.7 with previous version 0.4.6 dated 2020-01-12

Title: Diagnostics for Pharmacometric Models
Description: Diagnostics for non-linear mixed-effects (population) models from 'NONMEM' <http://www.iconplc.com/innovation/nonmem/>. 'xpose' facilitates data import, creation of numerical run summary and provide 'ggplot2'-based graphics for data exploration and model diagnostics.
Author: Benjamin Guiastrennec [aut, cre, cph], Andrew C. Hooker [aut, cph], Sebastian Ueckert [aut, cph], Mike K. Smith [ctb], Mats O. Karlsson [aut, cph]
Maintainer: Benjamin Guiastrennec <guiastrennec@gmail.com>

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Package RCSF updated to version 1.0.2 with previous version 1.0.1 dated 2018-11-14

Title: Airborne LiDAR Filtering Method Based on Cloth Simulation
Description: Cloth Simulation Filter (CSF) is an airborne LiDAR (Light Detection and Ranging) ground points filtering algorithm which is based on cloth simulation. It tries to simulate the interactions between the cloth nodes and the corresponding LiDAR points, the locations of the cloth nodes can be determined to generate an approximation of the ground surface <https://www.mdpi.com/2072-4292/8/6/501/htm>.
Author: Jean-Romain Roussel [aut, cre, cph], Jianbo Qi [aut, cph], Wuming Zhang [cph], Peng Wan [cph], Hongtao Wang [cph], State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Science and Engineering, Beijing Normal University [cph]
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1@ulaval.ca>

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Package bpnreg updated to version 1.0.3 with previous version 1.0.2 dated 2019-12-08

Title: Bayesian Projected Normal Regression Models for Circular Data
Description: Fitting Bayesian multiple and mixed-effect regression models for circular data based on the projected normal distribution. Both continuous and categorical predictors can be included. Sampling from the posterior is performed via an MCMC algorithm. Posterior descriptives of all parameters, model fit statistics and Bayes factors for hypothesis tests for inequality constrained hypotheses are provided. See Cremers, Mulder & Klugkist (2018) <doi:10.1111/bmsp.12108> and Nuñez-Antonio & Guttiérez-Peña (2014) <doi:10.1016/j.csda.2012.07.025>.
Author: Jolien Cremers [aut, cre]
Maintainer: Jolien Cremers <joliencremers@gmail.com>

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Package warbleR updated to version 1.1.21 with previous version 1.1.20 dated 2020-01-11

Title: Streamline Bioacoustic Analysis
Description: Functions aiming to facilitate the analysis of the structure of animal acoustic signals in 'R'. Users can collect open-access avian recordings or enter their own data into a workflow that facilitates spectrographic visualization and measurement of acoustic parameters. 'warbleR' makes use of the basic sound analysis tools from the package 'seewave', and offers new tools for acoustic structure analysis. The main features of the package are the use of loops to apply tasks through acoustic signals referenced in a selection (annotation) table and the production of spectrograms in image files that allow to organize data and verify acoustic analyzes. The package offers functions to explore, organize and manipulate multiple sound files, explore and download 'Xeno-Canto' recordings, detect signals automatically, create spectrograms of complete recordings or individual signals, run different measures of acoustic signal structure, evaluate the performance of measurement methods, catalog signals, characterize different structural levels in acoustic signals, run statistical analysis of duet coordination and consolidate databases and annotation tables, among others.
Author: Marcelo Araya-Salas [aut, cre] (<https://orcid.org/0000-0003-3594-619X>), Grace Smith-Vidaurre [aut]
Maintainer: Marcelo Araya-Salas <marceloa27@gmail.com>

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Package pagedown updated to version 0.8 with previous version 0.7 dated 2019-12-19

Title: Paginate the HTML Output of R Markdown with CSS for Print
Description: Use the paged media properties in CSS and the JavaScript library 'paged.js' to split the content of an HTML document into discrete pages. Each page can have its page size, page numbers, margin boxes, and running headers, etc. Applications of this package include books, letters, reports, papers, business cards, resumes, and posters.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Romain Lesur [aut, cph] (<https://orcid.org/0000-0002-0721-5595>), Brent Thorne [aut] (<https://orcid.org/0000-0002-1099-3857>), Christophe Dervieux [ctb] (<https://orcid.org/0000-0003-4474-2498>), Atsushi Yasumoto [ctb] (<https://orcid.org/0000-0002-8335-495X>), RStudio, Inc. [cph], Adam Hyde [ctb] (paged.js in resources/js/), Min-Zhong Lu [ctb] (resume.css in resources/css/), Zulko [ctb] (poster-relaxed.css in resources/css/)
Maintainer: Yihui Xie <xie@yihui.name>

Diff between pagedown versions 0.7 dated 2019-12-19 and 0.8 dated 2020-02-04

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Package mime updated to version 0.9 with previous version 0.8 dated 2019-12-19

Title: Map Filenames to MIME Types
Description: Guesses the MIME type from a filename extension using the data derived from /etc/mime.types in UNIX-type systems.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Jeffrey Horner [ctb], Beilei Bian [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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New package grec with initial version 1.3.2
Package: grec
Type: Package
Title: Gradient-Based Recognition of Spatial Patterns in Environmental Data
Version: 1.3.2
Date: 2020-01-13
URL: https://github.com/LuisLauM/grec
BugReports: https://github.com/LuisLauM/grec/issues
Authors@R: c(person("Wencheng", "Lau-Medrano", role = c("aut", "cre"), email = "luis.laum@gmail.com"))
Maintainer: Wencheng Lau-Medrano <luis.laum@gmail.com>
Description: Provides algorithms for detection of spatial patterns from oceanographic data using image processing methods based on Gradient Recognition.
License: GPL (>= 2)
Depends: R (>= 3.2.0), imagine (>= 1.5.2), raster
Imports: utils
LazyData: true
RoxygenNote: 7.0.2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-02-04 16:38:16 UTC; Wencheng
Author: Wencheng Lau-Medrano [aut, cre]
Repository: CRAN
Date/Publication: 2020-02-04 17:20:02 UTC

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Package eq5d updated to version 0.6.0 with previous version 0.5.0 dated 2019-12-15

Title: Methods for Calculating 'EQ-5D' Utility Index Scores
Description: EQ-5D is a popular health related quality of life instrument used in the clinical and economic evaluation of health care. Developed by the EuroQol group <https://www.euroqol.org>, the instrument consists of two components: health state description and evaluation. For the description component a subject self-rates their health in terms of five dimensions; mobility, self-care, usual activities, pain/discomfort, and anxiety/depression using either a three-level (EQ-5D-3L, <https://www.euroqol.org/eq-5d-instruments/eq-5d-3l-about>) or a five-level (EQ-5D-5L, <https://www.euroqol.org/eq-5d-instruments/eq-5d-5l-about>) scale. Frequently the scores on these five dimensions are converted to a single utility index using country specific value sets, which can be used in the clinical and economic evaluation of health care as well as in population health surveys. The eq5d package provides methods to calculate index scores from a subject's dimension scores. 25 TTO and 11 VAS EQ-5D-3L value sets including those for countries in Szende et al (2007) <doi:10.1007/1-4020-5511-0> and Szende et al (2014) <doi:10.1007/978-94-007-7596-1>, 20 EQ-5D-5L EQ-VT value sets from the EuroQol website, and the EQ-5D-5L crosswalk value sets developed by van Hout et al. (2012) <doi:10.1016/j.jval.2012.02.008> are included. Additionally, a shiny web tool is included to enable the calculation, visualisation and automated statistical analysis of EQ-5D index values via a web browser using EQ-5D dimension scores stored in CSV or Excel files.
Author: Fraser Morton [aut, cre], Jagtar Singh Nijjar [aut]
Maintainer: Fraser Morton <fraser.morton@glasgow.ac.uk>

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Package biclust updated to version 2.0.2 with previous version 2.0.1 dated 2018-06-09

Title: BiCluster Algorithms
Description: The main function biclust() provides several algorithms to find biclusters in two-dimensional data: Cheng and Church (2000, ISBN:1-57735-115-0), spectral (2003) <doi:10.1101/gr.648603>, plaid model (2005) <doi:10.1016/j.csda.2004.02.003>, xmotifs (2003) <doi:10.1142/9789812776303_0008> and bimax (2006) <doi:10.1093/bioinformatics/btl060>. In addition, the package provides methods for data preprocessing (normalization and discretisation), visualisation, and validation of bicluster solutions.
Author: Sebastian Kaiser, Rodrigo Santamaria, Tatsiana Khamiakova, Martin Sill, Roberto Theron, Luis Quintales, Friedrich Leisch and Ewoud De Troyer.
Maintainer: Sebastian Kaiser <dr.sebastian.kaiser@gmail.com>

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Package surveydata updated to version 0.2.4 with previous version 0.2.3 dated 2019-01-23

Title: Tools to Work with Survey Data
Description: Data obtained from surveys contains information not only about the survey responses, but also the survey metadata, e.g. the original survey questions and the answer options. The 'surveydata' package makes it easy to keep track of this metadata, and to easily extract columns with specific questions.
Author: Andrie de Vries [aut, cre, cph], Evan Odell [ctb]
Maintainer: Andrie de Vries <apdevries@gmail.com>

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Package RclusTool updated to version 0.91.3 with previous version 0.91.2 dated 2020-01-09

Title: Graphical Toolbox for Clustering and Classification of Data Frames
Description: Graphical toolbox for clustering and classification of data frames. It proposes a graphical interface to process clustering and classification methods on features data-frames, and to view initial data as well as resulted cluster or classes. According to the level of available labels, different approaches are proposed: unsupervised clustering, semi-supervised clustering and supervised classification. To assess the processed clusters or classes, the toolbox can import and show some supplementary data formats: either profile/time series, or images. These added information can help the expert to label clusters (clustering), or to constrain data frame rows (semi-supervised clustering), using Constrained spectral embedding algorithm by Wacquet et al. (2013) <doi:10.1016/j.patrec.2013.02.003> and the methodology provided by Wacquet et al. (2013) <doi:10.1007/978-3-642-35638-4_21>.
Author: Guillaume Wacquet [aut], Pierre-Alexandre Hebert [aut, cre], Emilie Poisson [aut], Pierre Talon [aut]
Maintainer: Pierre-Alexandre Hebert <hebert@univ-littoral.fr>

Diff between RclusTool versions 0.91.2 dated 2020-01-09 and 0.91.3 dated 2020-02-04

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New package opentripplanner with initial version 0.2.0.7
Package: opentripplanner
Title: Setup and connect to 'OpenTripPlanner'
Version: 0.2.0.7
Authors@R: c( person("Malcolm", "Morgan", email = "m.morgan1@leeds.ac.uk", role = c("aut","cre"), comment = c(ORCID = "0000-0002-9488-9183")), person("Marcus", "Young", email = "M.A.Young@soton.ac.uk", role = "aut", comment = c(ORCID = "0000-0003-4627-1116")), person("Robin", "Lovelace", email = "rob00x@gmail.com", role = "aut", comment = c(ORCID = "0000-0001-5679-6536")), person("Layik", "Hama", email = "layik.hama@gmail.com", role = "ctb", comment = c(ORCID = "0000-0003-1912-4890")) )
Maintainer: Malcolm Morgan <m.morgan1@leeds.ac.uk>
Description: Setup and connect to 'OpenTripPlanner' (OTP) <http://www.opentripplanner.org/>. OTP is an open source platform for multi-modal and multi-agency journey planning written in 'Java'. The package allows you to manage a local version or connect to remote OTP server. This package has been peer-reviewed by rOpenSci (v. 0.2.0.0).
Language: EN-GB
License: GPL-3
URL: https://github.com/ropensci/opentripplanner, https://docs.ropensci.org/opentripplanner/
BugReports: https://github.com/ropensci/opentripplanner/issues
Encoding: UTF-8
LazyData: true
Imports: checkmate, dplyr, geodist, googlePolylines, httr, jsonlite, pbapply, sf
RoxygenNote: 7.0.2
Suggests: covr, knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-02-04 08:29:04 UTC; malcolm
Author: Malcolm Morgan [aut, cre] (<https://orcid.org/0000-0002-9488-9183>), Marcus Young [aut] (<https://orcid.org/0000-0003-4627-1116>), Robin Lovelace [aut] (<https://orcid.org/0000-0001-5679-6536>), Layik Hama [ctb] (<https://orcid.org/0000-0003-1912-4890>)
Repository: CRAN
Date/Publication: 2020-02-04 16:10:06 UTC

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Package fpc updated to version 2.2-5 with previous version 2.2-4 dated 2020-01-17

Title: Flexible Procedures for Clustering
Description: Various methods for clustering and cluster validation. Fixed point clustering. Linear regression clustering. Clustering by merging Gaussian mixture components. Symmetric and asymmetric discriminant projections for visualisation of the separation of groupings. Cluster validation statistics for distance based clustering including corrected Rand index. Standardisation of cluster validation statistics by random clusterings and comparison between many clustering methods and numbers of clusters based on this. Cluster-wise cluster stability assessment. Methods for estimation of the number of clusters: Calinski-Harabasz, Tibshirani and Walther's prediction strength, Fang and Wang's bootstrap stability. Gaussian/multinomial mixture fitting for mixed continuous/categorical variables. Variable-wise statistics for cluster interpretation. DBSCAN clustering. Interface functions for many clustering methods implemented in R, including estimating the number of clusters with kmeans, pam and clara. Modality diagnosis for Gaussian mixtures. For an overview see package?fpc.
Author: Christian Hennig <christian.hennig@unibo.it>
Maintainer: Christian Hennig <christian.hennig@unibo.it>

Diff between fpc versions 2.2-4 dated 2020-01-17 and 2.2-5 dated 2020-02-04

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Package fields updated to version 10.3 with previous version 10.2 dated 2020-02-02

Title: Tools for Spatial Data
Description: For curve, surface and function fitting with an emphasis on splines, spatial data, geostatistics, and spatial statistics. The major methods include cubic, and thin plate splines, Kriging, and compactly supported covariance functions for large data sets. The splines and Kriging methods are supported by functions that can determine the smoothing parameter (nugget and sill variance) and other covariance function parameters by cross validation and also by restricted maximum likelihood. For Kriging there is an easy to use function that also estimates the correlation scale (range parameter). A major feature is that any covariance function implemented in R and following a simple format can be used for spatial prediction. There are also many useful functions for plotting and working with spatial data as images. This package also contains an implementation of sparse matrix methods for large spatial data sets and currently requires the sparse matrix (spam) package. Use help(fields) to get started and for an overview. The fields source code is deliberately commented and provides useful explanations of numerical details as a companion to the manual pages. The commented source code can be viewed by expanding source code version and looking in the R subdirectory. The reference for fields can be generated by the citation function in R and has DOI <doi:10.5065/D6W957CT>. Development of this package was supported in part by the National Science Foundation Grant 1417857 and the National Center for Atmospheric Research. See the Fields URL for a vignette on using this package and some background on spatial statistics.
Author: Douglas Nychka [aut, cre], Reinhard Furrer [aut], John Paige [aut], Stephan Sain [aut], Florian Gerber [aut], Matthew Iverson [aut], University Corporation for Atmospheric Research [cph]
Maintainer: Douglas Nychka <douglasnychka@gmail.com>

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Package FactoInvestigate updated to version 1.6 with previous version 1.5 dated 2019-11-16

Title: Automatic Description of Factorial Analysis
Description: Brings a set of tools to help and automatically realise the description of principal component analyses (from 'FactoMineR' functions). Detection of existing outliers, identification of the informative components, graphical views and dimensions description are performed threw dedicated functions. The Investigate() function performs all these functions in one, and returns the result as a report document (Word, PDF or HTML).
Author: Simon Thuleau, Francois Husson
Maintainer: Francois Husson <husson@agrocampus-ouest.fr>

Diff between FactoInvestigate versions 1.5 dated 2019-11-16 and 1.6 dated 2020-02-04

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Package arrayhelpers updated to version 1.1-0 with previous version 1.0-20160527 dated 2016-05-27

Title: Convenience Functions for Arrays
Description: Some convenient functions to work with arrays.
Author: C. Beleites <claudia.beleites@chemometrix.eu>
Maintainer: C. Beleites <claudia.beleites@chemometrix.eu>

Diff between arrayhelpers versions 1.0-20160527 dated 2016-05-27 and 1.1-0 dated 2020-02-04

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Package apcf updated to version 0.1.4 with previous version 0.1.3 dated 2019-06-13

Title: Adapted Pair Correlation Function
Description: The adapted pair correlation function transfers the concept of the pair correlation function from point patterns to patterns of objects of finite size and irregular shape (e.g. lakes within a country). This is a reimplementation of the method suggested by Nuske et al. (2009) <doi:10.1016/j.foreco.2009.09.050> using the libraries 'GEOS' and 'GDAL' directly instead of through 'PostGIS'.
Author: Robert Nuske [aut, cre] (<https://orcid.org/0000-0001-9773-2061>)
Maintainer: Robert Nuske <robert.nuske@mailbox.org>

Diff between apcf versions 0.1.3 dated 2019-06-13 and 0.1.4 dated 2020-02-04

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 NEWS.md             |    3 
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 README.md           |    2 
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 16 files changed, 401 insertions(+), 139 deletions(-)

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Package tigris updated to version 0.9.2 with previous version 0.9.1 dated 2020-01-13

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

Diff between tigris versions 0.9.1 dated 2020-01-13 and 0.9.2 dated 2020-02-04

 DESCRIPTION   |    8 ++++----
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 4 files changed, 9 insertions(+), 9 deletions(-)

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Package rrtable updated to version 0.1.7 with previous version 0.1.6 dated 2020-01-29

Title: Reproducible Research with a Table of R Codes
Description: Makes documents containing plots and tables from a table of R codes. Can make "HTML", "pdf('LaTex')", "docx('MS Word')" and "pptx('MS Powerpoint')" documents with or without R code. In the package, modularized 'shiny' app codes are provided. These modules are intended for reuse across applications.
Author: Keon-Woong Moon [aut, cre]
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>

Diff between rrtable versions 0.1.6 dated 2020-01-29 and 0.1.7 dated 2020-02-04

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Package rlas updated to version 1.3.5 with previous version 1.3.4 dated 2019-09-19

Title: Read and Write 'las' and 'laz' Binary File Formats Used for Remote Sensing Data
Description: Read and write 'las' and 'laz' binary file formats. The LAS file format is a public file format for the interchange of 3-dimensional point cloud data between data users. The LAS specifications are approved by the American Society for Photogrammetry and Remote Sensing <https://www.asprs.org/divisions-committees/lidar-division/laser-las-file-format-exchange-activities>. The LAZ file format is an open and lossless compression scheme for binary LAS format versions 1.0 to 1.3 <https://laszip.org/>.
Author: Jean-Romain Roussel [aut, cre, cph], Florian De Boissieu [aut, ctb] (Enable the support of .lax file and extra byte attributes), Martin Isenburg [cph] (Is the author of the LASlib and LASzip libraries), David Auty [ctb] (Reviewed the documentation), Pierrick Marie [ctb] (Helped to compile LASlib code in R), Tiago de Conto [ctb] (Implemented the -thin_with_voxel filter method)
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1@ulaval.ca>

Diff between rlas versions 1.3.4 dated 2019-09-19 and 1.3.5 dated 2020-02-04

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 24 files changed, 148 insertions(+), 100 deletions(-)

More information about rlas at CRAN
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Package importinegi updated to version 1.1.0 with previous version 1.0.0 dated 2019-08-05

Title: Download and Manage Open Data from INEGI
Description: Download and manage data sets of statistical projects and geographic data created by Instituto Nacional de Estadistica y Geografia (INEGI). See <https://www.inegi.org.mx/>.
Author: Cesar Renteria [aut, cre]
Maintainer: Cesar Renteria <crenteria@albany.edu>

Diff between importinegi versions 1.0.0 dated 2019-08-05 and 1.1.0 dated 2020-02-04

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 importinegi-1.1.0/importinegi/man/censo_poblacion_ageb.Rd    |   90 +++---
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 importinegi-1.1.0/importinegi/man/censo_poblacion_muestra.Rd |   58 ++--
 importinegi-1.1.0/importinegi/man/censo_poblacion_rural.Rd   |   54 +--
 importinegi-1.1.0/importinegi/man/censo_poblacion_urbano.Rd  |   60 ++--
 importinegi-1.1.0/importinegi/man/enigh_nuevaconstruccion.Rd |   70 +---
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 31 files changed, 540 insertions(+), 535 deletions(-)

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Package aroma.core updated to version 3.2.1 with previous version 3.2.0 dated 2019-06-17

Title: Core Methods and Classes Used by 'aroma.*' Packages Part of the Aroma Framework
Description: Core methods and classes used by higher-level 'aroma.*' packages part of the Aroma Project, e.g. 'aroma.affymetrix' and 'aroma.cn'.
Author: Henrik Bengtsson [aut, cre, cph], Mark Robinson [ctb], Ken Simpson [ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between aroma.core versions 3.2.0 dated 2019-06-17 and 3.2.1 dated 2020-02-04

 DESCRIPTION                                     |   19 ++----
 MD5                                             |   74 ++++++++++++------------
 NAMESPACE                                       |    3 
 NEWS                                            |   17 +++++
 R/008.BioC.R                                    |   10 +--
 R/AromaCellSequenceFile.R                       |    4 -
 R/AromaCellSequenceFile.REPEATS.R               |    2 
 R/AromaCellSequenceFile.SNPs.R                  |    4 -
 R/AromaUnitCallFile.R                           |    4 -
 R/AromaUnitGenotypeCallFile.R                   |   10 +--
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 R/BinnedScatter.R                               |    1 
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 R/PairedPSCNData.R                              |    2 
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 R/RawGenomicSignals.R                           |   12 +--
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 R/colGaussianSmoothing.R                        |    2 
 R/colKernelSmoothing.R                          |    2 
 R/matrixBlockPolish.matrix.R                    |    4 -
 R/processTime.R                                 |    2 
 R/profileCGH.plotProfile2.R                     |    5 +
 R/profileCGH.plotRawCNs.R                       |    5 +
 R/smoothWRMA.matrix.R                           |    2 
 R/smoothWSA.matrix.R                            |    2 
 man/BinnedScatter.Rd                            |    1 
 man/segmentByMPCBS.RawGenomicSignals.Rd         |   10 ++-
 tests/RawGenomicSignals.SEG,MP.R                |   10 ++-
 38 files changed, 145 insertions(+), 107 deletions(-)

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New package GRANCore with initial version 0.2.7
Package: GRANCore
Type: Package
Title: Classes and Methods for 'GRANBase'
Version: 0.2.7
Author: Gabriel Becker[aut,cre], Dinakar Kulkarni [aut,ctb]
Maintainer: Gabriel Becker <gabembecker@gmail.com>
Copyright: Genentech Inc
Description: Provides the classes and methods for GRANRepository objects that are used within the 'GRAN' build framework for R packages. This is primarily used by the 'GRANBase' package and repositories that are created by it.
License: Artistic-2.0
Depends: R (>= 3.1.0), switchr (>= 0.9.28), methods
URL: https://github.com/gmbecker/GRANCore
BugReports: https://github.com/gmbecker/GRANCore/issues
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2020-02-03 22:13:23 UTC; gabrielbecker
Repository: CRAN
Date/Publication: 2020-02-04 15:00:13 UTC

More information about GRANCore at CRAN
Permanent link

Package fuzzySim updated to version 3.0 with previous version 2.0 dated 2018-12-18

Title: Fuzzy Similarity in Species Distributions
Description: Functions to calculate fuzzy versions of species' occurrence patterns based on presence-absence data (including inverse distance interpolation, trend surface analysis and prevalence-independent favourability GLM), and pair-wise fuzzy similarity (based on fuzzy versions of commonly used similarity indices) among those occurrence patterns. Includes also functions for model comparison (overlap and fuzzy similarity, loss or gain), and for data preparation, such as obtaining unique abbreviations of species names, converting species lists (long format) to presence-absence tables (wide format), transposing part of a data frame, assessing the false discovery rate, or analysing and dealing with multicollinearity among variables. Includes also sample datasets for providing practical examples.
Author: Barbosa A.M.
Maintainer: A. Marcia Barbosa <ana.marcia.barbosa@gmail.com>

Diff between fuzzySim versions 2.0 dated 2018-12-18 and 3.0 dated 2020-02-04

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Package filling updated to version 0.2.1 with previous version 0.2.0 dated 2018-09-16

Title: Matrix Completion, Imputation, and Inpainting Methods
Description: Filling in the missing entries of a partially observed data is one of fundamental problems in various disciplines of mathematical science. For many cases, data at our interests have canonical form of matrix in that the problem is posed upon a matrix with missing values to fill in the entries under preset assumptions and models. We provide a collection of methods from multiple disciplines under Matrix Completion, Imputation, and Inpainting. See Davenport and Romberg (2016) <doi:10.1109/JSTSP.2016.2539100> for an overview of the topic.
Author: Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>)
Maintainer: Kisung You <kyoustat@gmail.com>

Diff between filling versions 0.2.0 dated 2018-09-16 and 0.2.1 dated 2020-02-04

 DESCRIPTION            |   15 ++++++++-------
 MD5                    |   31 ++++++++++++++++---------------
 NEWS.md                |only
 R/RcppExports.R        |    8 ++++----
 R/fill_OptSpace.R      |    2 ++
 R/fill_SVDimpute.R     |    2 ++
 R/fill_SVT.R           |    2 ++
 R/fill_nuclear.R       |   13 +++++++++++--
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 man/fill_HardImpute.Rd |    9 +++++++--
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 man/fill_SVT.Rd        |    2 ++
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 17 files changed, 81 insertions(+), 49 deletions(-)

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Package FAOSTAT updated to version 2.1.1 with previous version 2.0 dated 2015-06-01

Title: Download Data from the FAOSTAT Database of the Food and Agricultural Organization (FAO) of the United Nations
Description: A list of functions to download statistics from FAOSTAT (database of the Food and Agricultural Organization of the United Nations) and WDI (database of the World Bank), and to perform some harmonization operations.
Author: Michael C. J. Kao <michael.kao@fao.org>, Markus Gesmann, Filippo Gheri
Maintainer: Paul Rougieux <paul.rougieux@gmail.com>

Diff between FAOSTAT versions 2.0 dated 2015-06-01 and 2.1.1 dated 2020-02-04

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 R/translateUnit.R                 |   96 ++---
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 data/FAOregionProfile.RData       |binary
 demo/00Index                      |    2 
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 inst/doc/FAOSTAT.Rnw              |  728 +++++++++++++++++++-------------------
 inst/doc/FAOSTAT.pdf              |binary
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 man/ebind.Rd                      |   44 +-
 man/fillCountryCode.Rd            |   40 +-
 man/geogr.Rd                      |   68 +--
 man/getFAO.Rd                     |  116 +++---
 man/getFAOtoSYB.Rd                |  121 +++---
 man/getWDI.Rd                     |   90 ++--
 man/getWDImetaData.Rd             |   59 +--
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 man/grConstruct.Rd                |   75 +--
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Package cgraph updated to version 6.0.0 with previous version 5.0.1 dated 2019-11-26

Title: Computational Graphs
Description: Allows to create, evaluate, and differentiate computational graphs in R. A computational graph is a graph representation of a multivariate function decomposed by its (elementary) operations. Nodes in the graph represent arrays while edges represent dependencies among the arrays. An advantage of expressing a function as a computational graph is that this enables to differentiate the function by automatic differentiation. The 'cgraph' package supports various operations including basic arithmetic, trigonometry operations, and linear algebra operations. It differentiates computational graphs by reverse automatic differentiation. The flexible architecture of the package makes it applicable to solve a variety of problems including local sensitivity analysis, gradient-based optimization, and machine learning.
Author: Ron Triepels
Maintainer: Ron Triepels <dev@cgraph.org>

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Package CAISEr updated to version 1.0.16 with previous version 1.0.15 dated 2019-08-19

Title: Comparison of Algorithms with Iterative Sample Size Estimation
Description: Functions for performing experimental comparisons of algorithms using adequate sample sizes for power and accuracy. Implements the methodology originally presented in Campelo and Takahashi (2019) <doi:10.1007/s10732-018-9396-7> for the comparison of two algorithms, and later generalised in Campelo and Wanner (Submitted, 2019) <arxiv:1908.01720>.
Author: Felipe Campelo [aut, cre], Fernanda Takahashi [ctb], Elizabeth Wanner [ctb]
Maintainer: Felipe Campelo <f.campelo@aston.ac.uk>

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Package pyMTurkR updated to version 1.1.4 with previous version 1.1 dated 2019-09-05

Title: A Client for the 'MTurk' Requester API
Description: Provides access to the latest 'Amazon Mechanical Turk' ('MTurk') <https://www.mturk.com> Requester API (version '2017–01–17'), replacing the now deprecated 'MTurkR' package.
Author: Tyler Burleigh [aut, cre] (https://twitter.com/tylerburleigh), Thomas J. Leeper [aut] (<https://orcid.org/0000-0003-4097-6326>), Solomon Messing [ctb], Sean Murphy [ctb], Jonathan Chang [ctb], Andrew Brown [ctb]
Maintainer: Tyler Burleigh <tylerburleigh@gmail.com>

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Package ifaTools updated to version 0.21 with previous version 0.20 dated 2019-12-12

Title: Toolkit for Item Factor Analysis with 'OpenMx'
Description: Tools, tutorials, and demos of Item Factor Analysis using 'OpenMx'.
Author: Joshua N. Pritikin [cre, aut]
Maintainer: Joshua N. Pritikin <jpritikin@pobox.com>

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Package signnet updated to version 0.5.1 with previous version 0.5.0 dated 2020-01-24

Title: Methods to Analyse Signed Networks
Description: Methods for the analysis of signed networks. This includes several measures for structural balance as introduced by Cartwright and Harary (1956) <doi:10.1037/h0046049>, blockmodeling algorithms from Doreian (2008) <doi:10.1016/j.socnet.2008.03.005>, various centrality indices, and projections of signed two-mode networks introduced by Schoch (2020) <doi:10.1080/0022250X.2019.1711376>.
Author: David Schoch [aut, cre]
Maintainer: David Schoch <david.schoch@manchester.ac.uk>

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Package PolynomF updated to version 2.0-3 with previous version 2.0-2 dated 2019-06-18

Title: Polynomials in R
Description: Implements univariate polynomial operations in R, including polynomial arithmetic, finding zeros, plotting, and some operations on lists of polynomials.
Author: Bill Venables, with contribution by Kurt Hornik and Georgi Boshnakov
Maintainer: Bill Venables <Bill.Venables@gmail.com>

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Package set6 updated to version 0.1.1 with previous version 0.1.0 dated 2019-12-23

Title: R6 Mathematical Sets Interface
Description: An object-oriented package for mathematical sets, upgrading the current gold-standard {sets}. Many forms of mathematical sets are implemented, including (countably finite) sets, tuples, intervals (countably infinite or uncountable), and fuzzy variants. Wrappers extend functionality by allowing symbolic representations of complex operations on sets, including unions, (cartesian) products, exponentiation, and differences (asymmetric and symmetric).
Author: Raphael Sonabend [aut, cre] (<https://orcid.org/0000-0001-9225-4654>), Franz Kiraly [aut]
Maintainer: Raphael Sonabend <raphael.sonabend.15@ucl.ac.uk>

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Package indicspecies updated to version 1.7.9 with previous version 1.7.8 dated 2019-11-05

Title: Relationship Between Species and Groups of Sites
Description: Functions to assess the strength and statistical significance of the relationship between species occurrence/abundance and groups of sites [De Caceres & Legendre (2009) <doi:10.1890/08-1823.1>]. Also includes functions to measure species niche breadth using resource categories [De Caceres et al. (2011) <doi:10.1111/J.1600-0706.2011.19679.x>].
Author: Miquel De Cáceres [aut, cre], Florian Jansen [aut], Noah Dell [aut]
Maintainer: Miquel De Cáceres <miquelcaceres@gmail.com>

Diff between indicspecies versions 1.7.8 dated 2019-11-05 and 1.7.9 dated 2020-02-04

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Package tsDyn updated to version 10-1.2 with previous version 10-1.1 dated 2020-01-10

Title: Nonlinear Time Series Models with Regime Switching
Description: Implements nonlinear autoregressive (AR) time series models. For univariate series, a non-parametric approach is available through additive nonlinear AR. Parametric modeling and testing for regime switching dynamics is available when the transition is either direct (TAR: threshold AR) or smooth (STAR: smooth transition AR, LSTAR). For multivariate series, one can estimate a range of TVAR or threshold cointegration TVECM models with two or three regimes. Tests can be conducted for TVAR as well as for TVECM (Hansen and Seo 2002 and Seo 2006).
Author: Antonio Fabio Di Narzo [aut], Jose Luis Aznarte [ctb], Matthieu Stigler [aut], Ho Tsung-wu [cre]
Maintainer: Ho Tsung-wu <tsungwu@ntnu.edu.tw>

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Package RSSL updated to version 0.9.1 with previous version 0.8 dated 2019-03-08

Title: Implementations of Semi-Supervised Learning Approaches for Classification
Description: A collection of implementations of semi-supervised classifiers and methods to evaluate their performance. The package includes implementations of, among others, Implicitly Constrained Learning, Moment Constrained Learning, the Transductive SVM, Manifold regularization, Maximum Contrastive Pessimistic Likelihood estimation, S4VM and WellSVM.
Author: Jesse Krijthe [aut, cre]
Maintainer: Jesse Krijthe <jkrijthe@gmail.com>

Diff between RSSL versions 0.8 dated 2019-03-08 and 0.9.1 dated 2020-02-04

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Package mistr updated to version 0.0.3 with previous version 0.0.2 dated 2019-07-25

Title: Mixture and Composite Distributions
Description: A flexible computational framework for mixture distributions with the focus on the composite models.
Author: Lukas Sablica [aut, cre] (<https://orcid.org/0000-0001-9166-4563>), Kurt Hornik [aut] (<https://orcid.org/0000-0003-4198-9911>)
Maintainer: Lukas Sablica <lsablica@wu.ac.at>

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Package GMSE updated to version 0.4.0.13 with previous version 0.4.0.11 dated 2019-03-18

Title: Generalised Management Strategy Evaluation Simulator
Description: Integrates game theory and ecological theory to construct social-ecological models that simulate the management of populations and stakeholder actions. These models build off of a previously developed management strategy evaluation (MSE) framework to simulate all aspects of management: population dynamics, manager observation of populations, manager decision making, and stakeholder responses to management decisions. The newly developed generalised management strategy evaluation (GMSE) framework uses genetic algorithms to mimic the decision-making process of managers and stakeholders under conditions of change, uncertainty, and conflict. Simulations can be run using gmse(), gmse_apply(), and gmse_gui() functions.
Author: A. Bradley Duthie [aut, cre] (<https://orcid.org/0000-0001-8343-4995>), Nils Bunnefeld [ctb, fnd] (<https://orcid.org/0000-0002-1349-4463>), Jeremy Cusack [ctb] (<https://orcid.org/0000-0003-3004-1586>), Isabel Jones [ctb] (<https://orcid.org/0000-0002-8361-1370>), Jeroen Minderman [ctb] (<https://orcid.org/0000-0002-8451-5540>), Erlend Nilsen [ctb] (<https://orcid.org/0000-0002-5119-8331>), Rocio Pozo [ctb] (<https://orcid.org/0000-0002-7546-8076>), Sarobidy Rakotonarivo [ctb] (<https://orcid.org/0000-0002-8032-1431>), Bram Van Moorter [ctb] (<https://orcid.org/0000-0002-3196-1993>)
Maintainer: A. Bradley Duthie <brad.duthie@gmail.com>

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Package rtmpt updated to version 0.1-18 with previous version 0.1-17 dated 2019-10-14

Title: Fitting RT-MPT Models
Description: Fit response-time extended multinomial processing tree (RT-MPT) models by Klauer and Kellen (2018) <doi:10.1016/j.jmp.2017.12.003>. The RT-MPT class not only incorporate frequencies like traditional multinomial processing tree (MPT) models, but also latencies. This enables it to estimate process completion times and encoding plus motor execution times next to the process probabilities of traditional MPTs. 'rtmpt' is a Bayesian framework and posterior samples are sampled using a Metropolis-Gibbs sampler like the one described in the Klauer and Kellen (2018), but with some modifications. Other than in the original C++ program we use the free and open source GNU Scientific Library (GSL). There is also the possibility to suppress single process completion times.
Author: Raphael Hartmann [aut, cre], Karl C. Klauer [cph, aut, ctb, ths], Henrik Singmann [aut, ctb, cph], Jean Marie Linhart [cph]
Maintainer: Raphael Hartmann <raphael.hartmann@protonmail.com>

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Package Radviz updated to version 0.8.2 with previous version 0.8.1 dated 2020-01-10

Title: Project Multidimensional Data in 2D Space
Description: An implementation of the radviz projection in R. It enables the visualization of multidimensional data while maintaining the relation to the original dimensions. This package provides functions to create and plot radviz projections, and a number of summary plots that enable comparison and analysis. For reference see Ankerst *et al.* (1996) (<http://citeseer.ist.psu.edu/viewdoc/summary?doi=10.1.1.68.1811>) for original implementation, see Di Caro *et al* 2012 (<http://link.springer.com/chapter/10.1007/978-3-642-13672-6_13>) for the original method for dimensional anchor arrangements.
Author: Yann Abraham [aut, cre]
Maintainer: Yann Abraham <yann.abraham@gmail.com>

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Package pairwise updated to version 0.4.4-7 with previous version 0.4.4-5.1 dated 2019-01-31

Title: Rasch Model Parameters by Pairwise Algorithm
Description: Performs the explicit calculation -- not estimation! -- of the Rasch item parameters for dichotomous and polytomous item responses, using a pairwise comparison approach. Person parameters (WLE) are calculated according to Warm's weighted likelihood approach.
Author: Joerg-Henrik Heine <jhheine@googlemail.com>
Maintainer: Joerg-Henrik Heine <jhheine@googlemail.com>

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Package sen2r updated to version 1.3.0 with previous version 1.2.1 dated 2019-11-12

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.
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 rbin updated to version 0.1.2 with previous version 0.1.1 dated 2019-01-04

Title: Tools for Binning Data
Description: Manually bin data using weight of evidence and information value. Includes other binning methods such as equal length, quantile and winsorized. Options for combining levels of categorical data are also available. Dummy variables can be generated based on the bins created using any of the available binning methods. References: Siddiqi, N. (2006) <doi:10.1002/9781119201731.biblio>.
Author: Aravind Hebbali [aut, cre]
Maintainer: Aravind Hebbali <hebbali.aravind@gmail.com>

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Package bssm updated to version 0.1.10 with previous version 0.1.9 dated 2020-01-28

Title: Bayesian Inference of Non-Linear and Non-Gaussian State Space Models
Description: Efficient methods for Bayesian inference of state space models via particle Markov chain Monte Carlo and parallel importance sampling type weighted Markov chain Monte Carlo (Vihola, Helske, and Franks, 2017, <arXiv:1609.02541>). Gaussian, Poisson, binomial, or negative binomial observation densities and basic stochastic volatility models with Gaussian state dynamics, as well as general non-linear Gaussian models and discretised diffusion models are supported.
Author: Jouni Helske [aut, cre] (<https://orcid.org/0000-0001-7130-793X>), Matti Vihola [aut] (<https://orcid.org/0000-0002-8041-7222>)
Maintainer: Jouni Helske <jouni.helske@iki.fi>

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Package tidygapminder updated to version 0.1.1 with previous version 0.1.0 dated 2019-12-06

Title: Easily Tidy Gapminder Datasets
Description: A toolset that allows you to easily import and tidy data sheets retrieved from Gapminder data web tools. It will therefore contribute to reduce the time used in data cleaning of Gapminder indicator data sheets as they are very messy.
Author: Anicet Ebou [aut, cre] (<https://orcid.org/0000-0003-4005-177X>)
Maintainer: Anicet Ebou <anicet.ebou@gmail.com>

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Package Runuran updated to version 0.28 with previous version 0.27 dated 2019-03-14

Title: R Interface to the 'UNU.RAN' Random Variate Generators
Description: Interface to the 'UNU.RAN' library for Universal Non-Uniform RANdom variate generators. Thus it allows to build non-uniform random number generators from quite arbitrary distributions. In particular, it provides an algorithm for fast numerical inversion for distribution with given density function. In addition, the package contains densities, distribution functions and quantiles from a couple of distributions.
Author: Josef Leydold [aut, cre], Wolfgang H"ormann [aut]
Maintainer: Josef Leydold <josef.leydold@wu.ac.at>

Diff between Runuran versions 0.27 dated 2019-03-14 and 0.28 dated 2020-02-04

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Package qqplotr updated to version 0.0.4 with previous version 0.0.3 dated 2018-07-18

Title: Quantile-Quantile Plot Extensions for 'ggplot2'
Description: Extensions of 'ggplot2' Q-Q plot functionalities.
Author: Alexandre Almeida [aut], Adam Loy [aut, cre], Heike Hofmann [aut]
Maintainer: Adam Loy <loyad01@gmail.com>

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Package leiden updated to version 0.3.3 with previous version 0.3.2 dated 2020-01-18

Title: R Implementation of Leiden Clustering Algorithm
Description: Implements the 'Python leidenalg' module to be called in R. Enables clustering using the leiden algorithm for partition a graph into communities. See the 'Python' repository for more details: <https://github.com/vtraag/leidenalg> Traag et al (2018) From Louvain to Leiden: guaranteeing well-connected communities. <arXiv:1810.08473>.
Author: S. Thomas Kelly [aut, cre, trl], Vincent A. Traag [com]
Maintainer: S. Thomas Kelly <tom.kelly@riken.jp>

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Package emIRT updated to version 0.0.11 with previous version 0.0.9 dated 2019-12-13

Title: EM Algorithms for Estimating Item Response Theory Models
Description: Various Expectation-Maximization (EM) algorithms are implemented for item response theory (IRT) models. The current implementation includes IRT models for binary and ordinal responses, along with dynamic and hierarchical IRT models with binary responses. The latter two models are derived and implemented using variational EM. Subsequent edits also include variational network and text scaling models.
Author: Kosuke Imai <kimai@princeton.edu>, James Lo <lojames@usc.edu>, Jonathan Olmsted <jpolmsted@gmail.com>
Maintainer: James Lo <lojames@usc.edu>

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Package MARSS updated to version 3.10.12 with previous version 3.10.10 dated 2018-11-02

Title: Multivariate Autoregressive State-Space Modeling
Description: The MARSS package provides maximum-likelihood parameter estimation for constrained and unconstrained linear multivariate autoregressive state-space (MARSS) models fit to multivariate time-series data. Fitting is primarily via an Expectation-Maximization (EM) algorithm, although fitting via the BFGS algorithm (using the optim function) is also provided. MARSS models are a class of dynamic linear model (DLM) and vector autoregressive model (VAR) model. Functions are provided for parametric and innovations bootstrapping, Kalman filtering and smoothing, bootstrap model selection criteria (AICb), confidences intervals via the Hessian approximation and via bootstrapping and calculation of auxiliary residuals for detecting outliers and shocks. The user guide shows examples of using MARSS for parameter estimation for a variety of applications, model selection, dynamic factor analysis, outlier and shock detection, and addition of covariates. Type RShowDoc("UserGuide", package="MARSS") at the R command line to open the MARSS user guide. Online workshops (lectures and computer labs) at <https://nwfsc-timeseries.github.io/> See the NEWS file for update information.
Author: Eli Holmes, Eric Ward, Mark Scheuerell, and Kellie Wills, NOAA, Seattle, USA
Maintainer: Elizabeth Holmes - NOAA Federal <eli.holmes@noaa.gov>

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 MARSS-3.10.12/MARSS/man/CSEGriskfigure.Rd             |    6 
 MARSS-3.10.12/MARSS/man/CSEGtmufigure.Rd              |    2 
 MARSS-3.10.12/MARSS/man/MARSS-package.Rd              |  100 
 MARSS-3.10.12/MARSS/man/MARSS.Rd                      |  205 -
 MARSS-3.10.12/MARSS/man/MARSSFisherI.Rd               |only
 MARSS-3.10.12/MARSS/man/MARSS_dfa.Rd                  |   28 
 MARSS-3.10.12/MARSS/man/MARSS_marss.Rd                |   25 
 MARSS-3.10.12/MARSS/man/MARSS_marxss.Rd               |   20 
 MARSS-3.10.12/MARSS/man/MARSS_vectorized.Rd           |only
 MARSS-3.10.12/MARSS/man/MARSSaic.Rd                   |   16 
 MARSS-3.10.12/MARSS/man/MARSSapplynames.Rd            |    6 
 MARSS-3.10.12/MARSS/man/MARSSboot.Rd                  |   32 
 MARSS-3.10.12/MARSS/man/MARSSharveyobsFI.Rd           |   28 
 MARSS-3.10.12/MARSS/man/MARSShatyt.Rd                 |   38 
 MARSS-3.10.12/MARSS/man/MARSShessian.Rd               |   54 
 MARSS-3.10.12/MARSS/man/MARSShessian_numerical.Rd     |   17 
 MARSS-3.10.12/MARSS/man/MARSSinfo.Rd                  |    6 
 MARSS-3.10.12/MARSS/man/MARSSinits.Rd                 |   16 
 MARSS-3.10.12/MARSS/man/MARSSinnovationsboot.Rd       |   16 
 MARSS-3.10.12/MARSS/man/MARSSkem.Rd                   |   25 
 MARSS-3.10.12/MARSS/man/MARSSkemcheck.Rd              |    4 
 MARSS-3.10.12/MARSS/man/MARSSkf.Rd                    |   48 
 MARSS-3.10.12/MARSS/man/MARSSoptim.Rd                 |   28 
 MARSS-3.10.12/MARSS/man/MARSSparamCIs.Rd              |   22 
 MARSS-3.10.12/MARSS/man/MARSSresiduals_tT.Rd          |only
 MARSS-3.10.12/MARSS/man/MARSSresiduals_tt1.Rd         |only
 MARSS-3.10.12/MARSS/man/MARSSsimulate.Rd              |   27 
 MARSS-3.10.12/MARSS/man/MARSSvectorizeparam.Rd        |   14 
 MARSS-3.10.12/MARSS/man/SalmonSurvCUI.Rd              |    4 
 MARSS-3.10.12/MARSS/man/allowed.Rd                    |    6 
 MARSS-3.10.12/MARSS/man/as_marssMODEL.Rd              |    2 
 MARSS-3.10.12/MARSS/man/augment_marssMLE.Rd           |   90 
 MARSS-3.10.12/MARSS/man/checkMARSSInputs.Rd           |   12 
 MARSS-3.10.12/MARSS/man/checkModelList.Rd             |    8 
 MARSS-3.10.12/MARSS/man/coef_marssMLE.Rd              |   30 
 MARSS-3.10.12/MARSS/man/datasets.Rd                   |only
 MARSS-3.10.12/MARSS/man/describe_marssMODEL.Rd        |only
 MARSS-3.10.12/MARSS/man/fitted_marssMLE.Rd            |   81 
 MARSS-3.10.12/MARSS/man/glance_marssMLE.Rd            |   21 
 MARSS-3.10.12/MARSS/man/graywhales.Rd                 |    7 
 MARSS-3.10.12/MARSS/man/harborSeal.Rd                 |    2 
 MARSS-3.10.12/MARSS/man/is_marssMLE.Rd                |   26 
 MARSS-3.10.12/MARSS/man/is_marssMODEL.Rd              |    8 
 MARSS-3.10.12/MARSS/man/isleRoyal.Rd                  |    5 
 MARSS-3.10.12/MARSS/man/logLik_marssMLE.Rd            |only
 MARSS-3.10.12/MARSS/man/loggerhead.Rd                 |    3 
 MARSS-3.10.12/MARSS/man/marssMLE-class.Rd             |   29 
 MARSS-3.10.12/MARSS/man/marssMODEL-class.Rd           |   27 
 MARSS-3.10.12/MARSS/man/model_frame_marssMODEL.Rd     |   10 
 MARSS-3.10.12/MARSS/man/plankton.Rd                   |   17 
 MARSS-3.10.12/MARSS/man/plot_marssMLE.Rd              |   44 
 MARSS-3.10.12/MARSS/man/print_marssMLE.Rd             |   13 
 MARSS-3.10.12/MARSS/man/print_marssMODEL.Rd           |   18 
 MARSS-3.10.12/MARSS/man/residuals_marssMLE.Rd         |  139 -
 MARSS-3.10.12/MARSS/man/stdInnov.Rd                   |    4 
 MARSS-3.10.12/MARSS/man/tidy_marssMLE.Rd              |  148 +
 MARSS-3.10.12/MARSS/man/toLatex_marssMLE.Rd           |only
 MARSS-3.10.12/MARSS/man/utility_functions.Rd          |   48 
 MARSS-3.10.12/MARSS/man/zscore.Rd                     |   10 
 MARSS-3.10.12/MARSS/vignettes/EMDerivation.Rnw        |   39 
 MARSS-3.10.12/MARSS/vignettes/EMDerivation.bib        |   20 
 MARSS-3.10.12/MARSS/vignettes/Quick_Start.Rnw         |   73 
 MARSS-3.10.12/MARSS/vignettes/Residuals.Rnw           |  621 +++--
 140 files changed, 9891 insertions(+), 7886 deletions(-)

More information about MARSS at CRAN
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