Wed, 29 Jul 2020

Package raceland updated to version 1.1.0 with previous version 1.0.8 dated 2020-04-02

Title: Pattern-Based Zoneless Method for Analysis and Visualization of Racial Topography
Description: Implements a computational framework for a pattern-based, zoneless analysis, and visualization of (ethno)racial topography (Dmowska, Stepinski, and Nowosad (2020) <doi:10.1016/j.apgeog.2020.102239>). It is a reimagined approach for analyzing residential segregation and racial diversity based on the concept of 'landscape’ used in the domain of landscape ecology.
Author: Jakub Nowosad [aut, cre] (<https://orcid.org/0000-0002-1057-3721>), Anna Dmowska [aut], Tomasz Stepinski [aut]
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>

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Package pln updated to version 0.2-2 with previous version 0.2-1 dated 2013-01-25

Title: Polytomous Logit-Normit (Graded Logistic) Model Estimation
Description: Performs bivariate composite likelihood and full information maximum likelihood estimation for polytomous logit-normit (graded logistic) item response theory (IRT) models.
Author: Carl F. Falk and Harry Joe
Maintainer: Carl F. Falk <cffalk@gmail.com>

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Package dm updated to version 0.1.6 with previous version 0.1.5 dated 2020-07-03

Title: Relational Data Models
Description: Provides tools for working with multiple related tables, stored as data frames or in a relational database. Multiple tables (data and metadata) are stored in a compound object, which can then be manipulated with a pipe-friendly syntax.
Author: Tobias Schieferdecker [aut], Kirill Müller [aut, cre] (<https://orcid.org/0000-0002-1416-3412>), Darko Bergant [aut], Katharina Brunner [ctb], James Wondrasek [ctb], energie360° AG [fnd], cynkra GmbH [fnd, cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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Package gRim updated to version 0.2.5 with previous version 0.2.4 dated 2020-06-26

Title: Graphical Interaction Models
Description: Provides the following types of models: Models for contingency tables (i.e. log-linear models) Graphical Gaussian models for multivariate normal data (i.e. covariance selection models) Mixed interaction models. Documentation about 'gRim' is provided by vignettes included in this package and the book by Højsgaard, Edwards and Lauritzen (2012, <doi:10.1007/978-1-4614-2299-0>); see 'citation("gRim")' for details.
Author: Søren Højsgaard <sorenh@math.aau.dk>
Maintainer: Søren Højsgaard <sorenh@math.aau.dk>

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Package maditr updated to version 0.7.4 with previous version 0.7.3 dated 2020-07-22

Title: Fast Data Aggregation, Modification, and Filtering with Pipes and 'data.table'
Description: Provides pipe-style interface for 'data.table'. Package preserves all 'data.table' features without significant impact on performance. 'let' and 'take' functions are simplified interfaces for most common data manipulation tasks. For example, you can write 'take(mtcars, mean(mpg), by = am)' for aggregation or 'let(mtcars, hp_wt = hp/wt, hp_wt_mpg = hp_wt/mpg)' for modification. Use 'take_if/let_if' for conditional aggregation/modification. 'query_if' function translates its arguments one-to-one to '[.data.table' method. Additionally there are some conveniences such as automatic 'data.frame' conversion to 'data.table'.
Author: Gregory Demin [aut, cre]
Maintainer: Gregory Demin <gdemin@gmail.com>

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Package isotree updated to version 0.1.18 with previous version 0.1.17 dated 2020-07-20

Title: Isolation-Based Outlier Detection
Description: Fast and multi-threaded implementation of isolation forest (Liu, Ting, Zhou (2008) <doi:10.1109/ICDM.2008.17>), extended isolation forest (Hariri, Kind, Brunner (2018) <arXiv:1811.02141>), SCiForest (Liu, Ting, Zhou (2010) <doi:10.1007/978-3-642-15883-4_18>), and fair-cut forest (Cortes (2019) <arXiv:1911.06646>), for isolation-based outlier detection, clustered outlier detection, distance or similarity approximation (Cortes (2019) <arXiv:1910.12362>), and imputation of missing values (Cortes (2019) <arXiv:1911.06646>), based on random or guided decision tree splitting. Provides simple heuristics for fitting the model to categorical columns and handling missing data, and offers options for varying between random and guided splits, and for using different splitting criteria.
Author: David Cortes
Maintainer: David Cortes <david.cortes.rivera@gmail.com>

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Package gastempt updated to version 0.5.1 with previous version 0.5.0 dated 2020-05-01

Title: Analyzing Gastric Emptying from MRI or Scintigraphy
Description: Fits gastric emptying time series from MRI or scintigraphic measurements using nonlinear mixed-model population fits with 'nlme' and Bayesian methods with Stan; computes derived parameters such as t50 and AUC.
Author: Dieter Menne [aut, cre]
Maintainer: Dieter Menne <dieter.menne@menne-biomed.de>

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Package bubblyr updated to version 0.1.2 with previous version 0.1.1 dated 2020-07-10

Title: Beautiful Bubbles for 'shiny' and 'rmarkdown' Backgrounds
Description: Creates bubbles within 'shiny' and 'rmarkdown' backgrounds using the 'bubbly-bg' 'JavaScript' library.
Author: Mohamed El Fodil Ihaddaden [aut, cre], David Åse [cph] (bubbly-bg library)
Maintainer: Mohamed El Fodil Ihaddaden <ihaddaden.fodeil@gmail.com>

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Package priceR updated to version 0.1.4 with previous version 0.1.3 dated 2020-06-21

Title: Economics and Pricing Tools
Description: Functions to aid in micro and macro economic analysis and handling of price and currency data. Includes extraction of relevant inflation and exchange rate data from World Bank API, data cleaning/parsing, and standardisation. Inflation adjustment calculations as found in Principles of Macroeconomics by Gregory Mankiw et al (2014). Current and historical end of day exchange rates for 171 currencies from the European Central Bank Statistical Data Warehouse (2020) <https://sdw.ecb.europa.eu/curConverter.do>.
Author: Steve Condylios [aut, cre] (<https://orcid.org/0000-0003-0599-844X>)
Maintainer: Steve Condylios <steve.condylios@gmail.com>

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New package ENMTools with initial version 1.0
Package: ENMTools
Type: Package
Title: Analysis of Niche Evolution using Niche and Distribution Models
Version: 1.0
Date: 2020-07-22
Encoding: UTF-8
Authors@R: c(person(given = "Dan", family = "Warren", role = c("aut", "cre"), email = "dan.l.warren@gmail.com", comment = c(ORCID = "0000-0002-8747-2451")), person(given = "Nick", family = "Matzke", role = "ctb", email = "nick.matzke@anu.edu.au"), person(given = "Marcel", family = "Cardillo", role = "ctb", email = "marcel.cardillo@anu.edu.au"), person(given = "John", family = "Baumgartner", role = "ctb"), person(given = "Linda", family = "Beaumont", role = "ctb"), person(given = "Nicholas", family = "Huron", role = "ctb"), person(given = "Marianna", family = "Simoes", role = "ctb"), person(given = "Teresa", family = "Iglesias", role = "ctb"), person(given = "Russell", family = "Dinnage", role = "aut", email = "r.dinnage@gmail.com", comment = c(ORCID = "0000-0003-0846-2819")))
Maintainer: Dan Warren <dan.l.warren@gmail.com>
Description: Description: Tools for constructing niche models and analyzing patterns of niche evolution. Acts as an interface for many popular modeling algorithms, and allows users to conduct Monte Carlo tests to address basic questions in evolutionary ecology and biogeography. Warren, D.L., R.E. Glor, and M. Turelli (2008) <doi:10.1111/j.1558-5646.2008.00482.x> Glor, R.E., and D.L. Warren (2011) <doi:10.1111/j.1558-5646.2010.01177.x> Warren, D.L., R.E. Glor, and M. Turelli (2010) <doi:10.1111/j.1600-0587.2009.06142.x> Cardillo, M., and D.L. Warren (2016) <doi:10.1111/geb.12455> D.L. Warren, L.J. Beaumont, R. Dinnage, and J.B. Baumgartner (2019) <doi:10.1111/ecog.03900>.
License: GPL-2
LazyData: TRUE
RoxygenNote: 7.1.0
Imports: rgeos, knitr, ggplot2, gridExtra, lhs, magrittr, ENMeval, sp, spatstat, ggpubr, rgdal
Depends: raster, dismo
Suggests: testthat, hypervolume, leaflet, mgcv, ecospat, randomForest, ranger, caret, CalibratR, ape, ResourceSelection, ppmlasso, fields, reshape2
NeedsCompilation: no
Packaged: 2020-07-22 13:38:46 UTC; danwarren
Author: Dan Warren [aut, cre] (<https://orcid.org/0000-0002-8747-2451>), Nick Matzke [ctb], Marcel Cardillo [ctb], John Baumgartner [ctb], Linda Beaumont [ctb], Nicholas Huron [ctb], Marianna Simoes [ctb], Teresa Iglesias [ctb], Russell Dinnage [aut] (<https://orcid.org/0000-0003-0846-2819>)
Repository: CRAN
Date/Publication: 2020-07-29 13:12:06 UTC

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Package whatr updated to version 1.0.1 with previous version 1.0.0 dated 2020-03-19

Title: Scrape and Analyze the J! Archive
Description: Scrape the fan-made J! Archive <https://www.j-archive.com/> for Jeopardy episode contestants, categories, clues, answers, and scores.
Author: Kiernan Nicholls [aut, cre]
Maintainer: Kiernan Nicholls <kiernann@protonmail.com>

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Permanent link

New package insee with initial version 0.7.0
Package: insee
Type: Package
Title: Tools to Easily Download Data from INSEE BDM Database
Version: 0.7.0
Authors@R: person("Hadrien", "Leclerc", email = "leclerc.hadrien@gmail.com", role = c("aut", "cre"))
Author: Hadrien Leclerc [aut, cre]
Maintainer: Hadrien Leclerc <leclerc.hadrien@gmail.com>
Description: Using embedded sdmx queries, get the data of more than 140 000 insee series from bdm database. Have a look at the detailed sdmx web service page with the following link : <https://www.insee.fr/en/information/2868055>.
URL: <https://www.insee.fr/en/information/2868055>
Encoding: UTF-8
LazyData: true
License: GPL-2
Imports: rsdmx, httr, xml2, tibble, dplyr, tidyr, stringr, lubridate, tidyselect
Suggests: tidyverse
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-07-23 08:43:26 UTC; ndart
Repository: CRAN
Date/Publication: 2020-07-29 12:40:02 UTC

More information about insee at CRAN
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Package ingredients updated to version 1.3.1 with previous version 1.3.0 dated 2020-07-01

Title: Effects and Importances of Model Ingredients
Description: Collection of tools for assessment of feature importance and feature effects. Key functions are: feature_importance() for assessment of global level feature importance, ceteris_paribus() for calculation of the what-if plots, partial_dependence() for partial dependence plots, conditional_dependence() for conditional dependence plots, accumulated_dependence() for accumulated local effects plots, aggregate_profiles() and cluster_profiles() for aggregation of ceteris paribus profiles, generic print() and plot() for better usability of selected explainers, generic plotD3() for interactive, D3 based explanations, and generic describe() for explanations in natural language. The package 'ingredients' is a part of the 'DrWhy.AI' universe (Biecek 2018) <arXiv:1806.08915>.
Author: Przemyslaw Biecek [aut, cre] (<https://orcid.org/0000-0001-8423-1823>), Hubert Baniecki [aut] (<https://orcid.org/0000-0001-6661-5364>), Adam Izdebski [aut]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

Diff between ingredients versions 1.3.0 dated 2020-07-01 and 1.3.1 dated 2020-07-29

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Package iBreakDown updated to version 1.3.1 with previous version 1.2.0 dated 2020-04-20

Title: Model Agnostic Instance Level Variable Attributions
Description: Model agnostic tool for decomposition of predictions from black boxes. Supports additive attributions and attributions with interactions. The Break Down Table shows contributions of every variable to a final prediction. The Break Down Plot presents variable contributions in a concise graphical way. This package works for classification and regression models. It is an extension of the 'breakDown' package (Staniak and Biecek 2018) <doi:10.32614/RJ-2018-072>, with new and faster strategies for orderings. It supports interactions in explanations and has interactive visuals (implemented with 'D3.js' library). The methodology behind is described in the 'iBreakDown' article (Gosiewska and Biecek 2019) <arXiv:1903.11420> This package is a part of the 'DrWhy.AI' universe (Biecek 2018) <arXiv:1806.08915>.
Author: Przemyslaw Biecek [aut, cre] (<https://orcid.org/0000-0001-8423-1823>), Alicja Gosiewska [aut] (<https://orcid.org/0000-0001-6563-5742>), Hubert Baniecki [aut] (<https://orcid.org/0000-0001-6661-5364>), Adam Izdebski [aut], Dariusz Komosinski [ctb]
Maintainer: Przemyslaw Biecek <przemyslaw.biecek@gmail.com>

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Package dittodb updated to version 0.1.1 with previous version 0.1.0 dated 2020-07-24

Title: A Test Environment for Database Requests
Description: Testing and documenting code that communicates with remote databases can be painful. Although the interaction with R is usually relatively simple (e.g. data(frames) passed to and from a database), because they rely on a separate service and the data there, testing them can be difficult to set up, unsustainable in a continuous integration environment, or impossible without replicating an entire production cluster. This package addresses that by allowing you to make recordings from your database interactions and then play them back while testing (or in other contexts) all without needing to spin up or have access to the database your code would typically connect to.
Author: Jonathan Keane [aut, cre] (<https://orcid.org/0000-0001-7087-9776>), Mauricio Vargas [aut] (<https://orcid.org/0000-0003-1017-7574>), Helen Miller [rev] (reviewed the package for rOpenSci, see https://github.com/ropensci/software-review/issues/366), Etienne Racine [rev] (reviewed the package for rOpenSci, see https://github.com/ropensci/software-review/issues/366)
Maintainer: Jonathan Keane <jkeane@gmail.com>

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Package camtrapR updated to version 2.0.3 with previous version 2.0.2 dated 2020-04-22

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] (<https://orcid.org/0000-0002-1607-2039>), John Mathai [ctb], Seth Timothy Wong [ctb], An The Truong Nguyen [ctb], Azlan bin Mohamed [ctb] (<https://orcid.org/0000-0003-3788-4383>), Andrew Tilker [ctb] (<https://orcid.org/0000-0003-3630-8691>), Andreas Wilting [ctb, ths] (<https://orcid.org/0000-0001-5073-9186>)
Maintainer: Juergen Niedballa <camtrapr@gmail.com>

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Package rotasym updated to version 1.0.8 with previous version 1.0.7 dated 2020-03-09

Title: Tests for Rotational Symmetry on the Hypersphere
Description: Implementation of the tests for rotational symmetry on the hypersphere proposed in García-Portugués, Paindaveine and Verdebout (2020) <doi:10.1080/01621459.2019.1665527>. The package also implements the proposed distributions on the hypersphere, based on the tangent-normal decomposition, and allows for the replication of the data application considered in the paper.
Author: Eduardo García-Portugués [aut, cre], Davy Paindaveine [aut], Thomas Verdebout [aut]
Maintainer: Eduardo García-Portugués <edgarcia@est-econ.uc3m.es>

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Package hmi updated to version 0.9.19 with previous version 0.9.18 dated 2020-05-03

Title: Hierarchical Multiple Imputation
Description: Runs single level and multilevel imputation models. The user just has to pass the data to the main function and, optionally, his analysis model. Basically the package then translates this analysis model into commands to impute the data according to it with functions from 'mice', 'MCMCglmm' or routines build for this package.
Author: Matthias Speidel [aut, cre] (Munich, Germany), Joerg Drechsler [aut] (Institute for Employment Research, Nuremberg, Germany), Shahab Jolani [aut] (Maastricht University, Maastricht, The Netherlands)
Maintainer: Matthias Speidel <matthias.speidel@googlemail.com>

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Package mglmn updated to version 0.1.0 with previous version 0.0.2 dated 2015-05-11

Title: Model Averaging for Multivariate GLM with Null Models
Description: Tools for univariate and multivariate generalized linear models with model averaging and null model technique.
Author: Masatoshi Katabuchi and Akihiro Nakamura
Maintainer: Masatoshi Katabuchi <mattocci27@gmail.com>

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Package hypr updated to version 0.1.9 with previous version 0.1.8 dated 2020-05-27

Title: Hypothesis Matrix Translation
Description: Translation between experimental null hypotheses, hypothesis matrices, and contrast matrices as used in linear regression models. The package is based on the method described in Schad, Vasishth, Hohenstein, and Kliegl (2019) <doi:10.1016/j.jml.2019.104038> and Rabe, Vasishth, Hohenstein, Kliegl, and Schad (2020) <doi:10.21105/joss.02134>.
Author: Maximilian M. Rabe [aut, cre] (<https://orcid.org/0000-0002-2556-5644>), Shravan Vasishth [aut] (<https://orcid.org/0000-0003-2027-1994>), Sven Hohenstein [aut] (<https://orcid.org/0000-0002-9708-1593>), Reinhold Kliegl [aut] (<https://orcid.org/0000-0002-0180-8488>), Daniel J. Schad [aut] (<https://orcid.org/0000-0003-2586-6823>)
Maintainer: Maximilian M. Rabe <maximilian.rabe@uni-potsdam.de>

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Package GWnnegPCA updated to version 0.0.2 with previous version 0.0.1 dated 2020-03-24

Title: Geographically Weighted Non-Negative Principal Components Analysis
Description: Implements a geographically weighted non-negative principal components analysis, which consists of the fusion of geographically weighted and sparse non-negative principal components analyses (Tsutsumida N. et al., (2019) <doi:10.17608/k6.auckland.9850826.v1>).
Author: Narumasa Tsutsumida [aut, cre] (<https://orcid.org/0000-0002-6333-0301>)
Maintainer: Narumasa Tsutsumida <rsnaru.jp@gmail.com>

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Package anglr updated to version 0.7.0 with previous version 0.6.0 dated 2020-05-13

Title: Mesh Topology and Visualization for Spatial Data
Description: Gives direct access to generic 3D tools and provides a full suite of mesh-creation and 3D plotting functions. By extending the 'rgl' package conversion and visualization functions for the 'mesh3d' class a wide variety of complex spatial data can be brought into 3D scenes. These tools allow for spatial raster, polygons, and lines that are common in 'GIS' contexts to be converted into mesh forms with high flexibility and the ability to integrate disparate data types. Vector and raster data can be seamlessly combined as meshes, and surfaces can be set to have material properties based on data values or with image textures. Textures and other data combinations use projection transformations to map between coordinate systems, and objects can be easily visualized in an interactive scene at any stage. This package relies on the 'RTriangle' package for high-quality triangular meshing which is licensed restrictively under 'CC BY-NC-SA 4.0'.
Author: Michael D. Sumner [aut, cre], Miles McBain [ctb]
Maintainer: Michael D. Sumner <mdsumner@gmail.com>

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Package shinyobjects updated to version 0.2.0 with previous version 0.1.1 dated 2020-06-26

Title: Access Reactive Data Interactively
Description: Troubleshooting reactive data in 'shiny' can be difficult. These functions will convert reactive data frames into functions and load all assigned objects into your local environment. If you create a dummy input object, as the function will suggest, you will be able to test your server and ui functions interactively.
Author: Jake Riley [aut, cre]
Maintainer: Jake Riley <rjake@sas.upenn.edu>

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Package rerddapXtracto updated to version 1.0.0 with previous version 0.4.8 dated 2020-06-12

Title: Extracts Environmental Data from 'ERDDAP' Web Services
Description: Contains three functions that access environmental data from any 'ERDDAP' data web service. The rxtracto() function extracts data along a trajectory for a given "radius" around the point. The rxtracto_3D() function extracts data in a box. The rxtractogon() function extracts data in a polygon. All of those three function use the 'rerddap' package to extract the data, and should work with any 'ERDDAP' server. There are also two functions, plotBBox() and plotTrack() that use the 'plotdap' package to simplify the creation of maps of the data.
Author: Roy Mendelssohn [aut, cre]
Maintainer: Roy Mendelssohn <roy.mendelssohn@noaa.gov>

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Package keyATM updated to version 0.3.1 with previous version 0.3.0 dated 2020-07-12

Title: Keyword Assisted Topic Model
Description: Fits keyword assisted topic models (keyATM) using collapsed Gibbs samplers. The keyATM combines the latent dirichlet allocation (LDA) models with a small number of keywords selected by researchers in order to improve the interpretability and topic classification of the LDA. The keyATM can also incorporate covariates and directly model time trends. The keyATM is proposed in Eshima, Imai, and Sasaki (2020) <arXiv:2004.05964>.
Author: Shusei Eshima [aut, cre] (<https://orcid.org/0000-0003-3613-4046>), Tomoya Sasaki [aut], William Lowe [ctb], Kosuke Imai [aut], Chung-hong Chan [ctb] (<https://orcid.org/0000-0002-6232-7530>), Romain François [ctb] (<https://orcid.org/0000-0002-2444-4226>)
Maintainer: Shusei Eshima <shuseieshima@g.harvard.edu>

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Package iNZightTools updated to version 1.9.0 with previous version 1.8.5 dated 2020-05-19

Title: Tools for 'iNZight'
Description: Provides a collection of wrapper functions for common variable and dataset manipulation workflows primarily used by 'iNZight', a graphical user interface providing easy exploration and visualisation of data for students of statistics, available in both desktop and online versions. Additionally, many of the functions return the 'tidyverse' code used to obtain the result in an effort to bridge the gap between GUI and coding.
Author: Tom Elliott [aut, cre] (<https://orcid.org/0000-0002-7815-6318>), Christoph Knopf [ctb], Akshay Gupta [ctb], Owen Jin [ctb] (Tidyverse variable/data manipulation functions), Lushi Cai [ctb], Yiwen He [ctb] (Dates/times and dataset manipulation), Daniel Barnett [ctb] (Data validation)
Maintainer: Tom Elliott <tom.elliott@auckland.ac.nz>

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Package gistr updated to version 0.9.0 with previous version 0.5.0 dated 2020-01-09

Title: Work with 'GitHub' 'Gists'
Description: Work with 'GitHub' 'gists' from 'R' (e.g., <https://en.wikipedia.org/wiki/GitHub#Gist>, <https://docs.github.com/en/github/writing-on-github/creating-gists/>). A 'gist' is simply one or more files with code/text/images/etc. This package allows the user to create new 'gists', update 'gists' with new files, rename files, delete files, get and delete 'gists', star and 'un-star' 'gists', fork 'gists', open a 'gist' in your default browser, get embed code for a 'gist', list 'gist' 'commits', and get rate limit information when 'authenticated'. Some requests require authentication and some do not. 'Gists' website: <https://gist.github.com/>.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Ramnath Vaidyanathan [aut], Karthik Ram [aut]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package fdapace updated to version 0.5.5 with previous version 0.5.4 dated 2020-06-19

Title: Functional Data Analysis and Empirical Dynamics
Description: A versatile package that provides implementation of various methods of Functional Data Analysis (FDA) and Empirical Dynamics. The core of this package is Functional Principal Component Analysis (FPCA), a key technique for functional data analysis, for sparsely or densely sampled random trajectories and time courses, via the Principal Analysis by Conditional Estimation (PACE) algorithm. This core algorithm yields covariance and mean functions, eigenfunctions and principal component (scores), for both functional data and derivatives, for both dense (functional) and sparse (longitudinal) sampling designs. For sparse designs, it provides fitted continuous trajectories with confidence bands, even for subjects with very few longitudinal observations. PACE is a viable and flexible alternative to random effects modeling of longitudinal data. There is also a Matlab version (PACE) that contains some methods not available on fdapace and vice versa. Updates to fdapace were supported by grants from NIH Echo and NSF DMS-1712864 and DMS-2014626. Please cite our package if you use it (You may run the command citation("fdapace") to get the citation format and bibtex entry). References: Wang, J.L., Chiou, J., Müller, H.G. (2016) <doi:10.1146/annurev-statistics-041715-033624>; Chen, K., Zhang, X., Petersen, A., Müller, H.G. (2017) <doi:10.1007/s12561-015-9137-5>.
Author: Cody Carroll [aut, cre] (<https://orcid.org/0000-0003-3525-8653>), Alvaro Gajardo [aut], Yaqing Chen [aut], Xiongtao Dai [aut], Jianing Fan [aut], Pantelis Z. Hadjipantelis [aut], Kyunghee Han [aut], Hao Ji [aut], Shu-Chin Lin [ctb], Paromita Dubey [ctb], Hans-Georg Mueller [cph, ths, aut], Jane-Ling Wang [cph, ths, aut]
Maintainer: Cody Carroll <cjcarroll@ucdavis.edu>

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Package BiodiversityR updated to version 2.12-1 with previous version 2.11-3 dated 2019-10-03

Title: Package for Community Ecology and Suitability Analysis
Description: Graphical User Interface (via the R-Commander) and utility functions (often based on the vegan package) for statistical analysis of biodiversity and ecological communities, including species accumulation curves, diversity indices, Renyi profiles, GLMs for analysis of species abundance and presence-absence, distance matrices, Mantel tests, and cluster, constrained and unconstrained ordination analysis. A book on biodiversity and community ecology analysis is available for free download from the website. In 2012, methods for (ensemble) suitability modelling and mapping were expanded in the package.
Author: Roeland Kindt [cre, aut] (<https://orcid.org/0000-0002-7672-0712>)
Maintainer: Roeland Kindt <R.KINDT@CGIAR.ORG>

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Package IAPWS95 (with last version 1.1.0) was removed from CRAN

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

2018-06-18 1.1.0
2016-09-07 1.0.0

Permanent link
Package iemisc (with last version 0.9.8) was removed from CRAN

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

2020-01-30 0.9.8

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