Sun, 19 Apr 2020

Package openVA updated to version 1.0.10 with previous version 1.0.9 dated 2020-02-18

Title: Automated Method for Verbal Autopsy
Description: Implements multiple existing open-source algorithms for coding cause of death from verbal autopsies. The methods implemented include 'InterVA4' by Byass et al (2012) <doi:10.3402/gha.v5i0.19281>, 'InterVA5' by Byass at al (2019) <doi:10.1186/s12916-019-1333-6>, 'InSilicoVA' by McCormick et al (2016) <doi:10.1080/01621459.2016.1152191>, 'NBC' by Miasnikof et al (2015) <doi:10.1186/s12916-015-0521-2>, and a replication of 'Tariff' method by James et al (2011) <doi:10.1186/1478-7954-9-31> and Serina, et al. (2015) <doi:10.1186/s12916-015-0527-9>. It also provides tools for data manipulation tasks commonly used in Verbal Autopsy analysis and implements easy graphical visualization of individual and population level statistics. The 'NBC' method is implemented by the 'nbc4va' package that can be installed from <https://github.com/rrwen/nbc4va>. Note that this package was not developed by authors affiliated with the Institute for Health Metrics and Evaluation and thus unintentional discrepancies may exist in the implementation of the 'Tariff' method.
Author: Zehang Richard Li, Tyler McCormick, Sam Clark
Maintainer: Zehang Richard Li <lizehang@gmail.com>

Diff between openVA versions 1.0.9 dated 2020-02-18 and 1.0.10 dated 2020-04-19

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Package loon.data updated to version 0.0.8 with previous version 0.0.6 dated 2019-09-28

Title: Data Used to Illustrate 'Loon' Functionality
Description: Data used as examples in the 'loon' package.
Author: R. Wayne Oldford [aut, cre], Adrian Waddell [aut]
Maintainer: R. Wayne Oldford <rwoldford@uwaterloo.ca>

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Package camtrapR updated to version 2.0.1 with previous version 2.0.0 dated 2020-04-17

Title: Camera Trap Data Management and Preparation of Occupancy and Spatial Capture-Recapture Analyses
Description: Management of and data extraction from camera trap data in wildlife studies. The package provides a workflow for storing and sorting camera trap photos (and videos), tabulates records of species and individuals, and creates detection/non-detection matrices for occupancy and spatial capture-recapture analyses with great flexibility. In addition, it can visualise species activity data and provides simple mapping functions with GIS export.
Author: Juergen Niedballa [aut, cre] (<https://orcid.org/0000-0002-9187-2116>), Alexandre Courtiol [aut] (<https://orcid.org/0000-0003-0637-2959>), Rahel Sollmann [aut], John Mathai [ctb], Seth Timothy Wong [ctb], An The Truong Nguyen [ctb], Azlan bin Mohamed [ctb], Andrew Tilker [ctb], Andreas Wilting [ctb, ths] (<https://orcid.org/0000-0001-5073-9186>)
Maintainer: Juergen Niedballa <camtrapr@gmail.com>

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Package outliertree updated to version 1.2.0 with previous version 1.1.3 dated 2020-01-12

Title: Explainable Outlier Detection Through Decision Tree Conditioning
Description: Will try to fit decision trees that try to "predict" values for each column based on the values of each other column. Along the way, each time a split is evaluated, it will take the observations that fall into each branch as a homogeneous cluster in which it will search for outliers in the 1-d distribution of the column being predicted. Outliers are determined according to confidence intervals in this 1-d distribution, and need to have a large gap with respect to the next observation in sorted order to be flagged as outliers. Since outliers are searched for in a decision tree branch, it will know the conditions that make it a rare observation compared to others that meet the same conditions, and the conditions will always be correlated with the target variable (as it's being predicted from them). Full procedure is described in Cortes (2020) <arXiv:2001.00636>. Loosely based on the 'GritBot' <https://www.rulequest.com/gritbot-info.html> software.
Author: David Cortes
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

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Package SimVitD updated to version 0.1.2 with previous version 0.1.1 dated 2019-06-14

Title: Simulation Tools for Planning Vitamin D Studies
Description: Simulation tools for planning Vitamin D studies including approximation of power. Individual vitamin D status profiles are simulated, modelling population heterogeneity. Individuals experience random exposures to infectious agents. Development of infection considers a heterogeneous treatment effect. This is incorporated into the power approximation.
Author: Rebecca Mangan [aut], Jason Wyse [aut, cre], Lina Zgaga [aut]
Maintainer: Jason Wyse <wyseja@tcd.ie>

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Package timetk updated to version 1.0.0 with previous version 0.1.3 dated 2020-03-18

Title: A Tool Kit for Working with Time Series in R
Description: Easy visualization, wrangling, and preprocessing of time series data for forecasting and machine learning prediction. Methods discussed herein are commonplace in machine learning, and have been cited in various literature. Refer to "Calendar Effects" in papers such as Taieb, Souhaib Ben. "Machine learning strategies for multi-step-ahead time series forecasting." Universit Libre de Bruxelles, Belgium (2014): 75-86. <http://souhaib-bentaieb.com/pdf/2014_phd.pdf>.
Author: Matt Dancho [aut, cre], Davis Vaughan [aut]
Maintainer: Matt Dancho <mdancho@business-science.io>

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Package OpenLand updated to version 1.0.1 with previous version 1.0.0 dated 2020-03-23

Title: Quantitative Analysis and Visualization of LUCC
Description: Tools for the analysis of land use and cover (LUC) time series. It includes support for loading spatiotemporal raster data and synthesized spatial plotting. Several LUC change (LUCC) metrics in regular or irregular time intervals can be extracted and visualized through one- and multistep sankey and chord diagrams. A complete intensity analysis according to Aldwaik and Pontius (2012) <doi:10.1016/j.landurbplan.2012.02.010> is implemented, including tools for the generation of standardized multilevel output graphics.
Author: Reginal Exavier [aut, cre] (<https://orcid.org/0000-0002-5237-523X>), Peter Zeilhofer [aut]
Maintainer: Reginal Exavier <reginalexavier@rocketmail.com>

Diff between OpenLand versions 1.0.0 dated 2020-03-23 and 1.0.1 dated 2020-04-19

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Package LMest updated to version 2.6.1 with previous version 2.6.0 dated 2020-01-20

Title: Generalized Latent Markov Models
Description: Latent Markov models for longitudinal continuous and categorical data. See Bartolucci, Pandolfi, Pennoni (2017)<doi:10.18637/jss.v081.i04>.
Author: Francesco Bartolucci, Silvia Pandolfi, Fulvia Pennoni, Alessio Farcomeni, Alessio Serafini
Maintainer: Francesco Bartolucci <bart@stat.unipg.it>

Diff between LMest versions 2.6.0 dated 2020-01-20 and 2.6.1 dated 2020-04-19

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Package SSDforR updated to version 1.5.15 with previous version 1.5.12 dated 2020-01-09

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

Diff between SSDforR versions 1.5.12 dated 2020-01-09 and 1.5.15 dated 2020-04-19

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Package prrd updated to version 0.0.3 with previous version 0.0.2 dated 2018-01-25

Title: Parallel Runs of Reverse Depends
Description: Reverse depends for a given package are queued such that multiple workers can run the tests in parallel.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package RQGIS (with last version 1.0.4) was removed from CRAN

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

2018-08-13 1.0.4
2018-01-23 1.0.3
2017-11-04 1.0.2
2017-06-27 1.0.1
2017-05-25 1.0.0
2017-01-18 0.2.0
2016-08-15 0.1.0

Permanent link
Package wyz.code.offensiveProgramming updated to version 1.1.18 with previous version 1.1.17 dated 2020-02-02

Title: Wizardry Code Offensive Programming
Description: Allows to turn standard R code into offensive programming code. Provides code instrumentation to ease this change and tools to assist and accelerate code production and tuning while using offensive programming code technics. Should improve code robustness and quality. Function calls can be easily verified on-demand or in batch mode to assess parameter types and length conformities. Should improve coders productivity as offensive programming reduces the code size due to reduced number of controls all along the call chain. Should speed up processing as many checks will be reduced to one single check.
Author: Fabien Gelineau <neonira@gmail.com>
Maintainer: Fabien Gelineau <neonira@gmail.com>

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Package Trading updated to version 2.0 with previous version 1.2 dated 2019-01-12

Title: CCR, Entropy-Based Correlation Estimates & Dynamic Beta
Description: Contains performance analysis metrics of track records including entropy-based correlation and dynamic beta based on the Kalman filter. The normalized sample entropy method has been implemented which produces accurate entropy estimation even on smaller datasets while for the dynamic beta calculation the Kalman filter methodology has been utilized. On a separate stream, trades from the five major assets classes and also functionality to use pricing curves, rating tables, CSAs and add-on tables. The implementation follows an object oriented logic whereby each trade inherits from more abstract classes while also the curves/tables are objects. There is a lot of functionality focusing on the counterparty credit risk calculations however the package can be used for trading applications in general.
Author: Tasos Grivas
Maintainer: Tasos Grivas <info@openriskcalculator.com>

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New package tea with initial version 1.1
Package: tea
Type: Package
Title: Threshold Estimation Approaches
Version: 1.1
Date: 2020-04-17
Author: Johannes Ossberger
Maintainer: Johannes Ossberger <johannes.ossberger@gmail.com>
Description: Different approaches for selecting the threshold in generalized Pareto distributions. Most of them are based on minimizing the AMSE-criterion or at least by reducing the bias of the assumed GPD-model. Others are heuristically motivated by searching for stable sample paths, i.e. a nearly constant region of the tail index estimator with respect to k, which is the number of data in the tail. The third class is motivated by graphical inspection. In addition, a sequential testing procedure for GPD-GoF-tests is also implemented here.
License: GPL-3
Imports: Matrix, stats, graphics
RoxygenNote: 6.1.1
Packaged: 2020-04-17 22:36:12 UTC; J.Ossberger
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2020-04-19 15:00:06 UTC

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Package rayrender updated to version 0.9.1 with previous version 0.6.0 dated 2020-02-08

Title: Build and Raytrace 3D Scenes
Description: Render scenes using pathtracing. Build 3D scenes out of spheres, cubes, planes, disks, triangles, line segments, cylinders, ellipsoids, and 3D models in the 'Wavefront' OBJ file format. Supports several material types, textures, multicore rendering, and tone-mapping. Based on the "Ray Tracing in One Weekend" book series. Peter Shirley (2018) <https://raytracing.github.io>.
Author: Tyler Morgan-Wall [aut, cph, cre] (<https://orcid.org/0000-0002-3131-3814>), Syoyo Fujita [ctb, cph], Melissa O'Neill [ctb, cph]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

Diff between rayrender versions 0.6.0 dated 2020-02-08 and 0.9.1 dated 2020-04-19

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Package polylabelr updated to version 0.2.0 with previous version 0.1.0 dated 2018-11-02

Title: Find the Pole of Inaccessibility (Visual Center) of a Polygon
Description: A wrapper around the C++ library 'polylabel' from 'Mapbox', providing an efficient routine for finding the approximate pole of inaccessibility of a polygon, which usually serves as an excellent candidate for labeling of a polygon.
Author: Johan Larsson [aut, cre] (<https://orcid.org/0000-0002-4029-5945>), Kent Johnson [ctb], Mapbox [cph] (polylabel, variant, and geometry libraries)
Maintainer: Johan Larsson <johanlarsson@outlook.com>

Diff between polylabelr versions 0.1.0 dated 2018-11-02 and 0.2.0 dated 2020-04-19

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Package feedeR updated to version 0.0.8 with previous version 0.0.7 dated 2016-10-25

Title: Read RSS/Atom Feeds from R
Description: Retrieve data from RSS/Atom feeds.
Author: Andrew Collier [aut, cre]
Maintainer: Andrew Collier <andrew@exegetic.biz>

Diff between feedeR versions 0.0.7 dated 2016-10-25 and 0.0.8 dated 2020-04-19

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Package bysykkel updated to version 0.3.1 with previous version 0.2.3 dated 2019-05-16

Title: Get City Bike Data from Norway
Description: Functions to get and download city bike data from the website and API service of each city bike service in Norway. The package aims to reduce time spent on getting Norwegian city bike data, and lower barriers to start analyzing it. The data is retrieved from Oslo City Bike, Bergen City Bike, and Trondheim City Bike. The data is made available under NLOD 2.0 <https://data.norge.no/nlod/en/2.0>.
Author: Iman Ghayoornia [aut, cre]
Maintainer: Iman Ghayoornia <ghayoornia.iman@gmail.com>

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Package googleLanguageR updated to version 0.3.0 with previous version 0.2.0 dated 2018-06-21

Title: Call Google's 'Natural Language' API, 'Cloud Translation' API, 'Cloud Speech' API and 'Cloud Text-to-Speech' API
Description: Call 'Google Cloud' machine learning APIs for text and speech tasks. Call the 'Cloud Translation' API <https://cloud.google.com/translate/> for detection and translation of text, the 'Natural Language' API <https://cloud.google.com/natural-language/> to analyse text for sentiment, entities or syntax, the 'Cloud Speech' API <https://cloud.google.com/speech/> to transcribe sound files to text and the 'Cloud Text-to-Speech' API <https://cloud.google.com/text-to-speech/> to turn text into sound files.
Author: Mark Edmondson [aut, cre], John Muschelli [ctb], Neal Richardson [rev] (Neal reviewed the package for ropensci, see <https://github.com/ropensci/onboarding/issues/127>), Julia Gustavsen [rev] (Julia reviewed the package for ropensci, see <https://github.com/ropensci/onboarding/issues/127>)
Maintainer: Mark Edmondson <r@sunholo.com>

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Package topicmodels updated to version 0.2-11 with previous version 0.2-9 dated 2019-12-03

Title: Topic Models
Description: Provides an interface to the C code for Latent Dirichlet Allocation (LDA) models and Correlated Topics Models (CTM) by David M. Blei and co-authors and the C++ code for fitting LDA models using Gibbs sampling by Xuan-Hieu Phan and co-authors.
Author: Bettina Grün [aut, cre] (<https://orcid.org/0000-0001-7265-4773>), Kurt Hornik [aut] (<https://orcid.org/0000-0003-4198-9911>), David M Blei [ctb, cph] (VEM estimation of LDA and CTM), John D Lafferty [ctb, cph] (VEM estimation of CTM), Xuan-Hieu Phan [ctb, cph] (MCMC estimation of LDA), Makoto Matsumoto [ctb, cph] (Mersenne Twister RNG), Takuji Nishimura [ctb, cph] (Mersenne Twister RNG), Shawn Cokus [ctb] (Mersenne Twister RNG)
Maintainer: Bettina Grün <Bettina.Gruen@jku.at>

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Package iarm updated to version 0.4.1 with previous version 0.3.0 dated 2019-12-04

Title: Item Analysis in Rasch Models
Description: Tools to assess model fit and identify misfitting items for Rasch models (RM) and partial credit models (PCM). Included are item fit statistics, item characteristic curves, item-restscore association, conditional likelihood ratio tests, assessment of measurement error, estimates of the reliability and test targeting as described in Christensen et al. (Eds.) (2013, ISBN:978-1-84821-222-0).
Author: Marianne Mueller [aut, cre], Pedro Henrique Ribeiro Santiago [ctb]
Maintainer: Marianne Mueller <mllm@zhaw.ch>

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Package Diderot updated to version 0.13 with previous version 0.12 dated 2017-11-06

Title: Bibliographic Network Analysis
Description: Enables the user to build a citation network/graph from bibliographic data and, based on modularity and heterocitation metrics, assess the degree of awareness/cross-fertilization between two corpora/communities. This toolset is optimized for Scopus data.
Author: Christian Vincenot
Maintainer: Christian Vincenot <christian@vincenot.biz>

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Package dbplyr updated to version 1.4.3 with previous version 1.4.2 dated 2019-06-17

Title: A 'dplyr' Back End for Databases
Description: A 'dplyr' back end for databases that allows you to work with remote database tables as if they are in-memory data frames. Basic features works with any database that has a 'DBI' back end; more advanced features require 'SQL' translation to be provided by the package author.
Author: Hadley Wickham [aut, cre], Edgar Ruiz [aut], RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package cvms updated to version 1.0.1 with previous version 1.0.0 dated 2020-04-14

Title: Cross-Validation for Model Selection
Description: Cross-validate one or multiple regression and classification models and get relevant evaluation metrics in a tidy format. Validate the best model on a test set and compare it to a baseline evaluation. Alternatively, evaluate predictions from an external model. Currently supports regression and classification (binary and multiclass). Described in chp. 5 of Jeyaraman, B. P., Olsen, L. R., & Wambugu M. (2019, ISBN: 9781838550134).
Author: Ludvig Renbo Olsen [aut, cre], Benjamin Hugh Zachariae [aut]
Maintainer: Ludvig Renbo Olsen <r-pkgs@ludvigolsen.dk>

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Package ppgam updated to version 1.0.1 with previous version 1.0.0 dated 2020-04-06

Title: Generalised Additive Point Process Models
Description: Methods for fitting point processes with parameters of generalised additive model (GAM) form are provided. For an introduction to point processes see Cox, D.R & Isham, V. (Point Processes, 1980, CRC Press), GAMs see Wood, S.N. (2017) <doi:10.1201/9781315370279>, and the fitting approach see Wood, S.N., Pya, N. & Safken, B. (2016) <doi:10.1080/01621459.2016.1180986>.
Author: Ben Youngman [aut, cre], Theo Economou [aut]
Maintainer: Ben Youngman <b.youngman@exeter.ac.uk>

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Package DynamicGP updated to version 1.1-6 with previous version 1.1-5 dated 2019-11-19

Title: Modelling and Analysis of Dynamic Computer Experiments
Description: Emulating and solving inverse problems for dynamic computer experiments. It contains two major functionalities: (1) localized GP model for large-scale dynamic computer experiments using the algorithm proposed by Zhang et al. (2018) <arXiv:1611.09488>; (2) solving inverse problems in dynamic computer experiments. The current version only supports 64-bit version of R.
Author: Ru Zhang [aut, cre], Chunfang Devon Lin [aut], Pritam Ranjan [aut], Robert B Gramacy [ctb], Nicolas Devillard [ctb], Jorge Nocedal [ctb], Jose Luis Morales [ctb], Ciyou Zhu [ctb], Richard Byrd [ctb], Peihuang Lu-Chen [ctb], Berend Hasselman [ctb], Jack Dongarra [ctb], Jeremy Du Croz [ctb], Sven Hammarling [ctb], Richard Hanson [ctb], University of Chicago [cph], University of California [cph]
Maintainer: Ru Zhang <heavenmarshal@gmail.com>

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Package distory updated to version 1.4.4 with previous version 1.4.3 dated 2017-03-21

Title: Distance Between Phylogenetic Histories
Description: Geodesic distance between phylogenetic trees and associated functions. The theoretical background of 'distory' is published in Billera et al. (2001) "Geometry of the space of phylogenetic trees." <doi:10.1006/aama.2001.0759>.
Author: John Chakerian [aut, cre], Susan Holmes [aut, cre]
Maintainer: Emmanuel Paradis <Emmanuel.Paradis@ird.fr>

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Package RiskPortfolios updated to version 2.1.3 with previous version 2.1.2 dated 2018-08-30

Title: Computation of Risk-Based Portfolios
Description: Collection of functions designed to compute risk-based portfolios as described in Ardia et al. (2017) <doi:10.1007/s10479-017-2474-7> and Ardia et al. (2017) <doi:10.21105/joss.00171>.
Author: David Ardia [aut, cre, cph] (<https://orcid.org/0000-0003-2823-782X>), Kris Boudt [aut], Jean-Philippe Gagnon-Fleury [aut]
Maintainer: David Ardia <david.ardia.ch@gmail.com>

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Package ds4psy updated to version 0.2.0 with previous version 0.1.0 dated 2019-08-10

Title: Data Science for Psychologists
Description: All datasets and functions required for the examples and exercises of the book "Data Science for Psychologists" (by Hansjoerg Neth, Konstanz University, 2020), available at <https://bookdown.org/hneth/ds4psy/>. The book and course introduce principles and methods of data science to students of psychology and other biological or social sciences. The 'ds4psy' package primarily provides datasets, but also functions for data generation and manipulation (e.g., of text and time data) and graphics that are used in the book and its exercises. All functions included in 'ds4psy' are designed to be instructive and entertaining, rather than elegant or efficient.
Author: Hansjoerg Neth [aut, cre]
Maintainer: Hansjoerg Neth <h.neth@uni.kn>

Diff between ds4psy versions 0.1.0 dated 2019-08-10 and 0.2.0 dated 2020-04-19

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Package raster updated to version 3.1-5 with previous version 3.0-12 dated 2020-01-30

Title: Geographic Data Analysis and Modeling
Description: Reading, writing, manipulating, analyzing and modeling of gridded spatial data. The package implements basic and high-level functions. Processing of very large files is supported. There is a also support for vector data operations such as intersections. See the manual and tutorials on <https://rspatial.org/> to get started.
Author: Robert J. Hijmans [cre, aut] (<https://orcid.org/0000-0001-5872-2872>), Jacob van Etten [ctb], Michael Sumner [ctb], Joe Cheng [ctb], Andrew Bevan [ctb], Roger Bivand [ctb], Lorenzo Busetto [ctb], Mort Canty [ctb], David Forrest [ctb], Aniruddha Ghosh [ctb], Duncan Golicher [ctb], Josh Gray [ctb], Jonathan A. Greenberg [ctb], Paul Hiemstra [ctb], Kassel Hingee [ctb], Institute for Mathematics Applied Geosciences [cph], Charles Karney [ctb], Matteo Mattiuzzi [ctb], Steven Mosher [ctb], Jakub Nowosad [ctb], Edzer Pebesma [ctb], Oscar Perpinan Lamigueiro [ctb], Etienne B. Racine [ctb], Barry Rowlingson [ctb], Ashton Shortridge [ctb], Bill Venables [ctb], Rafael Wueest [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

Diff between raster versions 3.0-12 dated 2020-01-30 and 3.1-5 dated 2020-04-19

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Package collections updated to version 0.3.0 with previous version 0.2.5 dated 2020-03-15

Title: High Performance Container Data Types
Description: Provides high performance container data types such as queues, stacks, deques, dicts and ordered dicts. Benchmarks <https://randy3k.github.io/collections/articles/benchmark.html> have shown that these containers are asymptotically more efficient than those offered by other packages.
Author: Randy Lai [aut, cre], Andrea Mazzoleni [cph] (tommy hash table library)
Maintainer: Randy Lai <randy.cs.lai@gmail.com>

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Package bayesGARCH updated to version 2.1.4 with previous version 2.1.3 dated 2017-02-04

Title: Bayesian Estimation of the GARCH(1,1) Model with Student-t Innovations
Description: Provides the bayesGARCH() function which performs the Bayesian estimation of the GARCH(1,1) model with Student's t innovations as described in Ardia (2008) <doi:10.1007/978-3-540-78657-3>.
Author: David Ardia [aut, cre, cph] (<https://orcid.org/0000-0003-2823-782X>)
Maintainer: David Ardia <david.ardia.ch@gmail.com>

Diff between bayesGARCH versions 2.1.3 dated 2017-02-04 and 2.1.4 dated 2020-04-19

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Package AdMit updated to version 2.1.4 with previous version 2.1.3 dated 2017-02-04

Title: Adaptive Mixture of Student-t Distributions
Description: Provides functions to perform the fitting of an adaptive mixture of Student-t distributions to a target density through its kernel function as described in Ardia et al. (2009) <doi:10.18637/jss.v029.i03>. The mixture approximation can then be used as the importance density in importance sampling or as the candidate density in the Metropolis-Hastings algorithm to obtain quantities of interest for the target density itself.
Author: David Ardia [aut, cre, cph] (<https://orcid.org/0000-0003-2823-782X>), Lennart Hoogerheide [ctb], Herman van Dijk [ctb]
Maintainer: David Ardia <david.ardia.ch@gmail.com>

Diff between AdMit versions 2.1.3 dated 2017-02-04 and 2.1.4 dated 2020-04-19

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Permanent link

Package gpDDE (with last version 0.8.2) was removed from CRAN

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

2015-12-16 0.8.2

Permanent link
Package qrmtools updated to version 0.0-13 with previous version 0.0-12 dated 2020-01-13

Title: Tools for Quantitative Risk Management
Description: Functions and data sets for reproducing selected results from the book "Quantitative Risk Management: Concepts, Techniques and Tools". Furthermore, new developments and auxiliary functions for Quantitative Risk Management practice.
Author: Marius Hofert [aut, cre], Kurt Hornik [aut], Alexander J. McNeil [aut]
Maintainer: Marius Hofert <marius.hofert@uwaterloo.ca>

Diff between qrmtools versions 0.0-12 dated 2020-01-13 and 0.0-13 dated 2020-04-19

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Package NSM3 updated to version 1.14 with previous version 1.13 dated 2020-03-22

Title: Functions and Datasets to Accompany Hollander, Wolfe, and Chicken - Nonparametric Statistical Methods, Third Edition
Description: Designed to replace the tables which were in the back of the first two editions of Hollander and Wolfe - Nonparametric Statistical Methods. Exact procedures are performed when computationally possible. Monte Carlo and Asymptotic procedures are performed otherwise. For those procedures included in the base packages, our code simply provides a wrapper to standardize the output with the other procedures in the package.
Author: Grant Schneider, Eric Chicken, Rachel Becvarik
Maintainer: Grant Schneider <gschneidz@gmail.com>

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Package emmeans updated to version 1.4.6 with previous version 1.4.5 dated 2020-03-04

Title: Estimated Marginal Means, aka Least-Squares Means
Description: Obtain estimated marginal means (EMMs) for many linear, generalized linear, and mixed models. Compute contrasts or linear functions of EMMs, trends, and comparisons of slopes. Plots and other displays. Least-squares means are discussed, and the term "estimated marginal means" is suggested, in Searle, Speed, and Milliken (1980) Population marginal means in the linear model: An alternative to least squares means, The American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.
Author: Russell Lenth [aut, cre, cph], Henrik Singmann [ctb], Jonathon Love [ctb], Paul Buerkner [ctb], Maxime Herve [ctb]
Maintainer: Russell Lenth <russell-lenth@uiowa.edu>

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More information about emmeans at CRAN
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Package broom.mixed updated to version 0.2.5 with previous version 0.2.4 dated 2019-02-21

Title: Tidying Methods for Mixed Models
Description: Convert fitted objects from various R mixed-model packages into tidy data frames along the lines of the 'broom' package. The package provides three S3 generics for each model: tidy(), which summarizes a model's statistical findings such as coefficients of a regression; augment(), which adds columns to the original data such as predictions, residuals and cluster assignments; and glance(), which provides a one-row summary of model-level statistics.
Author: Ben Bolker [aut, cre] (<https://orcid.org/0000-0002-2127-0443>), David Robinson [aut], Dieter Menne [ctb], Jonah Gabry [ctb], Paul Buerkner [ctb], Christopher Hua [ctb], William Petry [ctb] (<https://orcid.org/0000-0002-5230-5987>), Joshua Wiley [ctb] (<https://orcid.org/0000-0002-0271-6702>), Patrick Kennedy [ctb], Eduard Szöcs [ctb] (<https://orcid.org/0000-0001-5376-1194>, BASF SE), Indrajeet Patil [ctb]
Maintainer: Ben Bolker <bolker@mcmaster.ca>

Diff between broom.mixed versions 0.2.4 dated 2019-02-21 and 0.2.5 dated 2020-04-19

 broom.mixed-0.2.4/broom.mixed/inst/extdata/test.R              |only
 broom.mixed-0.2.5/broom.mixed/DESCRIPTION                      |   23 
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 broom.mixed-0.2.5/broom.mixed/R/brms_tidiers.R                 |   38 -
 broom.mixed-0.2.5/broom.mixed/R/glmmADMB_tidiers.R             |    2 
 broom.mixed-0.2.5/broom.mixed/R/glmmTMB_tidiers.R              |   21 
 broom.mixed-0.2.5/broom.mixed/R/hooks.R                        |    6 
 broom.mixed-0.2.5/broom.mixed/R/lme4_tidiers.R                 |   55 -
 broom.mixed-0.2.5/broom.mixed/R/mcmc_tidiers.R                 |   12 
 broom.mixed-0.2.5/broom.mixed/R/nlme_tidiers.R                 |   31 
 broom.mixed-0.2.5/broom.mixed/R/rstanarm_tidiers.R             |  342 ++++------
 broom.mixed-0.2.5/broom.mixed/R/utilities.R                    |   20 
 broom.mixed-0.2.5/broom.mixed/build/vignette.rds               |binary
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 broom.mixed-0.2.5/broom.mixed/inst/extdata/brms_example.rda    |binary
 broom.mixed-0.2.5/broom.mixed/man/augment.ranef.mer.Rd         |    3 
 broom.mixed-0.2.5/broom.mixed/man/brms_tidiers.Rd              |   22 
 broom.mixed-0.2.5/broom.mixed/man/extractEffects.Rd            |    8 
 broom.mixed-0.2.5/broom.mixed/man/gamlss_tidiers.Rd            |    3 
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 broom.mixed-0.2.5/broom.mixed/man/lme4_tidiers.Rd              |   53 +
 broom.mixed-0.2.5/broom.mixed/man/mcmc_tidiers.Rd              |   99 ++
 broom.mixed-0.2.5/broom.mixed/man/nlme_tidiers.Rd              |   24 
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 broom.mixed-0.2.5/broom.mixed/man/tidy.TMB.Rd                  |   11 
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 broom.mixed-0.2.5/broom.mixed/tests/testthat/test-glmmTMB.R    |    8 
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 broom.mixed-0.2.5/broom.mixed/tests/testthat/test-lmertest.R   |   12 
 broom.mixed-0.2.5/broom.mixed/tests/testthat/test-mcmc.R       |   13 
 broom.mixed-0.2.5/broom.mixed/tests/testthat/test-nlme.R       |   14 
 38 files changed, 649 insertions(+), 383 deletions(-)

More information about broom.mixed at CRAN
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