Thu, 06 May 2021

Package taxonomizr updated to version 0.8.0 with previous version 0.7.1 dated 2021-04-23

Title: Functions to Work with NCBI Accessions and Taxonomy
Description: Functions for assigning taxonomy to NCBI accession numbers and taxon IDs based on NCBI's accession2taxid and taxdump files. This package allows the user to downloads NCBI data dumps and create a local database for fast and local taxonomic assignment.
Author: Scott Sherrill-Mix [aut, cre]
Maintainer: Scott Sherrill-Mix <shescott@upenn.edu>

Diff between taxonomizr versions 0.7.1 dated 2021-04-23 and 0.8.0 dated 2021-05-06

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Package iNZightRegression updated to version 1.3.1 with previous version 1.3.0 dated 2020-11-27

Title: Tools for Exploring Regression Models with 'iNZight'
Description: Provides a suite of functions to use with regression models, including summaries, residual plots, and factor comparisons. Used as part of the Model Fitting module of 'iNZight', a graphical user interface providing easy exploration and visualisation of data for students of statistics, available in both desktop and online versions.
Author: Tom Elliott [aut, cre] (<https://orcid.org/0000-0002-7815-6318>), Simon Potter [aut], David Banks [aut], Danny Chang [ctb]
Maintainer: Tom Elliott <tom.elliott@auckland.ac.nz>

Diff between iNZightRegression versions 1.3.0 dated 2020-11-27 and 1.3.1 dated 2021-05-06

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Package postGGIR updated to version 2.0.0 with previous version 1.0.0 dated 2021-03-01

Title: Data Processing after Running 'GGIR' for Accelerometer Data
Description: Generate all necessary R/Rmd/shell files for data processing after running 'GGIR' (v2.0) for accelerometer data. In part 1, all csv files in the GGIR output directory were read, transformed and then merged. In part 2, the GGIR output files were checked and summarized in one excel sheet. In part 3, the merged data was cleaned according to the number of valid hours on each night and the number of valid days for each subject. In part 4, the cleaned activity data was imputed by the average Euclidean norm minus one (ENMO) over all the valid days for each subject. Finally, a comprehensive report of data processing was created using Rmarkdown, and the report includes few exploratory plots and multiple commonly used features extracted from minute level actigraphy data.
Author: Wei Guo [aut, cre], Vadim Zipunnikov [aut], Kathleen Merikangas [aut]
Maintainer: Wei Guo <wei.guo3@nih.gov>

Diff between postGGIR versions 1.0.0 dated 2021-03-01 and 2.0.0 dated 2021-05-06

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Package ggimg updated to version 0.1.1 with previous version 0.1.0 dated 2020-03-20

Title: Graphics Layers for Plotting Image Data with 'ggplot2'
Description: Provides two new layer types for displaying image data as layers within the Grammar of Graphics framework. Displays images using either a rectangle interface, with a fixed bounding box, or a point interface using a central point and general size parameter. Images can be given as local JPEG or PNG files, external resources, or as a list column containing raster image data.
Author: Taylor B. Arnold [aut, cre]
Maintainer: Taylor B. Arnold <taylor.arnold@acm.org>

Diff between ggimg versions 0.1.0 dated 2020-03-20 and 0.1.1 dated 2021-05-06

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More information about ggimg at CRAN
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Package bnstruct updated to version 1.0.10 with previous version 1.0.9 dated 2021-03-09

Title: Bayesian Network Structure Learning from Data with Missing Values
Description: Bayesian Network Structure Learning from Data with Missing Values. The package implements the Silander-Myllymaki complete search, the Max-Min Parents-and-Children, the Hill-Climbing, the Max-Min Hill-climbing heuristic searches, and the Structural Expectation-Maximization algorithm. Available scoring functions are BDeu, AIC, BIC. The package also implements methods for generating and using bootstrap samples, imputed data, inference.
Author: Francesco Sambo [aut], Alberto Franzin [aut, cre]
Maintainer: Alberto Franzin <afranzin@ulb.ac.be>

Diff between bnstruct versions 1.0.9 dated 2021-03-09 and 1.0.10 dated 2021-05-06

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Package loon.ggplot updated to version 1.2.0 with previous version 1.1.0 dated 2021-03-21

Title: Making 'ggplot2' Plots Interactive with 'loon' and Vice Versa
Description: It provides a bridge between the 'loon' and 'ggplot2' packages. Data analysts who value the grammar pipeline provided by 'ggplot2' can turn these static plots into interactive 'loon' plots. Conversely, data analysts who explore data interactively with 'loon' can turn any 'loon' plot into a 'ggplot2' plot structure. The function 'loon.ggplot()' is applied to one plot structure will return the other.
Author: Zehao Xu [aut, cre], R. Wayne Oldford [aut]
Maintainer: Zehao Xu <z267xu@uwaterloo.ca>

Diff between loon.ggplot versions 1.1.0 dated 2021-03-21 and 1.2.0 dated 2021-05-06

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Package visvow updated to version 1.3.0 with previous version 1.2.0 dated 2021-03-29

Title: Visible Vowels: Visualization of Vowel Variation
Description: Visualizes vowel variation in f0, F1, F2, F3 and duration.
Author: Wilbert Heeringa, Hans Van de Velde
Maintainer: Wilbert Heeringa <wjheeringa@gmail.com>

Diff between visvow versions 1.2.0 dated 2021-03-29 and 1.3.0 dated 2021-05-06

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Package unmarked updated to version 1.1.0 with previous version 1.0.1 dated 2020-07-02

Title: Models for Data from Unmarked Animals
Description: Fits hierarchical models of animal abundance and occurrence to data collected using survey methods such as point counts, site occupancy sampling, distance sampling, removal sampling, and double observer sampling. Parameters governing the state and observation processes can be modeled as functions of covariates.
Author: Richard Chandler [aut], Ken Kellner [aut], Ian Fiske [aut], David Miller [aut], Andy Royle [cre, aut], Jeff Hostetler [aut], Rebecca Hutchinson [aut], Adam Smith [aut], Marc Kery [ctb], Mike Meredith [ctb], Auriel Fournier [ctb], Ariel Muldoon [ctb], Chris Baker [ctb]
Maintainer: Andy Royle <aroyle@usgs.gov>

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Package jqr updated to version 1.2.1 with previous version 1.2.0 dated 2020-11-13

Title: Client for 'jq', a 'JSON' Processor
Description: Client for 'jq', a 'JSON' processor (<https://stedolan.github.io/jq/>), written in C. 'jq' allows the following with 'JSON' data: index into, parse, do calculations, cut up and filter, change key names and values, perform conditionals and comparisons, and more.
Author: Rich FitzJohn [aut], Jeroen Ooms [aut], Scott Chamberlain [aut, cre], Stefan Milton Bache [aut]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between jqr versions 1.2.0 dated 2020-11-13 and 1.2.1 dated 2021-05-06

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Package PAMA updated to version 1.2.0 with previous version 1.1.0 dated 2021-04-28

Title: Rank Aggregation with Partition Mallows Model
Description: Rank aggregation aims to achieve a better ranking list given multiple observations. 'PAMA' implements Partition-Mallows model for rank aggregation where the rankers' quality are different. Both Bayesian inference and Maximum likelihood estimation (MLE) are provided. It can handle partial list as well. When covariates information is available, this package can make inference by incorporating the covariate information. More information can be found in the paper "Integrated Partition-Mallows Model and Its Inference for Rank Aggregation".
Author: Wanchuang Zhu [cre, aut]
Maintainer: Wanchuang Zhu <andy.chou.sub@gmail.com>

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Package psychReport updated to version 3.0.1 with previous version 3.0.0 dated 2021-02-25

Title: Reproducible Reports in Psychology
Description: Helper functions for producing reports in Psychology (Reproducible Research). Provides required formatted strings (APA style) for use in 'Knitr'/'Latex' integration within *.Rnw files.
Author: Ian G Mackenzie [cre, aut], Carolin Dudschig [aut]
Maintainer: Ian G Mackenzie <ian.mackenzie@uni-tuebingen.de>

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Package RPEIF updated to version 1.2.1 with previous version 1.2.0 dated 2021-03-09

Title: Computation and Plots of Influence Functions for Risk and Performance Measures
Description: Computes the influence functions time series of the returns for the risk and performance measures as mentioned in Chen and Martin (2018) <https://www.ssrn.com/abstract=3085672>, as well as in Zhang et al. (2019) <https://www.ssrn.com/abstract=3415903>. Also evaluates estimators influence functions at a set of parameter values and plots them to display the shapes of the influence functions.
Author: Anthony Christidis <anthony.christidis@stat.ubc.ca>, Shengyu Zhang <syzhang@uw.edu>, Douglas Martin <doug@amath.washington.edu>
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>

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Package NFCP updated to version 1.0.1 with previous version 1.0.0 dated 2021-05-02

Title: N-Factor Commodity Pricing Through Term Structure Estimation
Description: Commodity pricing models are (systems of) stochastic differential equations that are utilized for the valuation and hedging of commodity contingent claims (i.e. derivative products on the commodity) and other commodity related investments. Commodity pricing models that capture market dynamics are of great importance to commodity market participants in order to exercise sound investment and risk-management strategies. Parameters of commodity pricing models are estimated through maximum likelihood estimation, using available term structure futures data of a commodity. 'NFCP' (n-factor commodity pricing) provides a framework for the modeling, parameter estimation, probabilistic forecasting, option valuation and simulation of commodity prices through state space and Monte Carlo methods, risk-neutral valuation and Kalman filtering. 'NFCP' allows the commodity pricing model to consist of n correlated factors, with both random walk and mean-reverting elements. The n-factor commodity pricing model framework was first presented in the work of Cortazar and Naranjo (2006) <doi:10.1002/fut.20198>. Examples presented in 'NFCP' replicate the two-factor crude oil commodity pricing model presented in the prolific work of Schwartz and Smith (2000) <doi:10.1287/mnsc.46.7.893.12034> with the approximate term structure futures data applied within this study provided in the 'NFCP' package.
Author: Thomas Aspinall [aut, cre] (<https://orcid.org/0000-0002-6968-1989>), Adrian Gepp [aut] (<https://orcid.org/0000-0003-1666-5501>), Geoff Harris [aut] (<https://orcid.org/0000-0003-4284-8619>), Simone Kelly [aut] (<https://orcid.org/0000-0002-6528-8557>), Colette Southam [aut] (<https://orcid.org/0000-0001-7263-2347>), Bruce Vanstone [aut] (<https://orcid.org/0000-0002-3977-2468>)
Maintainer: Thomas Aspinall <tomaspinall2512@gmail.com>

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Package pdftools updated to version 3.0.1 with previous version 3.0.0 dated 2021-05-05

Title: Text Extraction, Rendering and Converting of PDF Documents
Description: Utilities based on 'libpoppler' for extracting text, fonts, attachments and metadata from a PDF file. Also supports high quality rendering of PDF documents into PNG, JPEG, TIFF format, or into raw bitmap vectors for further processing in R.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package h2o updated to version 3.32.1.2 with previous version 3.32.0.1 dated 2020-10-17

Title: R Interface for the 'H2O' Scalable Machine Learning Platform
Description: R interface for 'H2O', the scalable open source machine learning platform that offers parallelized implementations of many supervised and unsupervised machine learning algorithms such as Generalized Linear Models (GLM), Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Generalized Additive Models (GAM), Cox Proportional Hazards, K-Means, PCA, Word2Vec, as well as a fully automatic machine learning algorithm (H2O AutoML).
Author: Erin LeDell [aut, cre], Navdeep Gill [aut], Spencer Aiello [aut], Anqi Fu [aut], Arno Candel [aut], Cliff Click [aut], Tom Kraljevic [aut], Tomas Nykodym [aut], Patrick Aboyoun [aut], Michal Kurka [aut], Michal Malohlava [aut], Ludi Rehak [ctb], Eric Eckstrand [ctb], Brandon Hill [ctb], Sebastian Vidrio [ctb], Surekha Jadhawani [ctb], Amy Wang [ctb], Raymond Peck [ctb], Wendy Wong [ctb], Jan Gorecki [ctb], Matt Dowle [ctb], Yuan Tang [ctb], Lauren DiPerna [ctb], Tomas Fryda [ctb], H2O.ai [cph, fnd]
Maintainer: Erin LeDell <erin@h2o.ai>

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Package face updated to version 0.1-6 with previous version 0.1-5 dated 2019-01-23

Title: Fast Covariance Estimation for Sparse Functional Data
Description: We implement the Fast Covariance Estimation for Sparse Functional Data paper published in Statistics and Computing <doi: 10.1007/s11222-017-9744-8>.
Author: Luo Xiao [aut], Cai Li [aut,cre], William Checkley [aut], Ciprian Crainiceanu [aut]
Maintainer: Cai Li <cli9@ncsu.edu>

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Package antitrust updated to version 0.99.25 with previous version 0.99.14 dated 2020-06-26

Title: Tools for Antitrust Practitioners
Description: A collection of tools for antitrust practitioners, including the ability to calibrate different consumer demand systems and simulate the effects of mergers under different competitive regimes.
Author: Charles Taragin and Michael Sandfort
Maintainer: Charles Taragin <ctaragin@ftc.gov>

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 antitrust-0.99.25/antitrust/vignettes/Reference.Rmd          |   53 
 antitrust-0.99.25/antitrust/vignettes/antitrustbib.bib       |   50 
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Package yorkr updated to version 0.0.23 with previous version 0.0.22 dated 2021-04-24

Title: Analyze Cricket Performances Based on Data from Cricsheet
Description: Analyzing performances of cricketers and cricket teams based on 'yaml' match data from Cricsheet <https://cricsheet.org/>.
Author: Tinniam V Ganesh
Maintainer: Tinniam V Ganesh <tvganesh.85@gmail.com>

Diff between yorkr versions 0.0.22 dated 2021-04-24 and 0.0.23 dated 2021-05-06

 DESCRIPTION        |    8 ++++----
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 R/rankT20Batsmen.R |    1 +
 3 files changed, 7 insertions(+), 6 deletions(-)

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New package SIPDIBGE with initial version 0.1.3
Package: SIPDIBGE
Title: Collection of Household Survey Packages Conducted by IBGE
Version: 0.1.3
Authors@R: c(person("Gabriel", "Assuncao", email = "pacotesipd@ibge.gov.br", role = c("aut", "cre")), person("Luna", "Hidalgo", email = "pacotesipd@ibge.gov.br", role = c("aut")), person("Douglas", "Braga", email = "pacotesipd@ibge.gov.br", role = c("ctb")))
Description: Provides access to packages developed for downloading, reading and analysing microdata from household surveys conducted by Brazilian Institute of Geography and Statistics - IBGE. More information can be obtained from the official website <https://www.ibge.gov.br/>.
Depends: R (>= 3.2.0), PNADcIBGE (>= 0.6.0), POFIBGE (>= 0.1.0), PNSIBGE (>= 0.1.0), COVIDIBGE (>= 0.1.0)
Imports: tidyverse, cli, purrr, rstudioapi, png, grDevices, graphics, utils, tibble
Suggests: survey, readr, dplyr, magrittr, projmgr, httr, RCurl, timeDate, readxl, convey
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Author: Gabriel Assuncao [aut, cre], Luna Hidalgo [aut], Douglas Braga [ctb]
Maintainer: Gabriel Assuncao <pacotesipd@ibge.gov.br>
Packaged: 2021-05-01 01:29:25 UTC; gabriel.assuncao
Repository: CRAN
Date/Publication: 2021-05-06 09:10:02 UTC

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Package rbacon updated to version 2.5.5 with previous version 2.5.3 dated 2021-03-29

Title: Age-Depth Modelling using Bayesian Statistics
Description: An approach to age-depth modelling that uses Bayesian statistics to reconstruct accumulation histories for deposits, through combining radiocarbon and other dates with prior information. See Blaauw & Christen (2011).
Author: Maarten Blaauw [aut, cre], J. Andres Christen [aut, ctb, cph], Marco A. Aquino Lopez [aut], Judith Esquivel Vazquez [ctb], Oscar M. Gonzalez V. [ctb], Ted Belding [cph], James Theiler [cph], Brian Gough [cph], Charles Karney [cph]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

Diff between rbacon versions 2.5.3 dated 2021-03-29 and 2.5.5 dated 2021-05-06

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 19 files changed, 460 insertions(+), 301 deletions(-)

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New package workloopR with initial version 1.1.4
Package: workloopR
Title: Analysis of Work Loops and Other Data from Muscle Physiology Experiments
Version: 1.1.4
Authors@R: c(person(given = "Vikram B.", family = "Baliga", role = c("aut", "cre"), email = "vbaliga87@gmail.com", comment = c(ORCID = "0000-0002-9367-8974")), person(given = "Shreeram", family = "Senthivasan", role = "aut", email = "shreeramsenthi@gmail.com", comment = c(ORCID = "0000-0002-7118-9547")), person(given = "Julia", family = "Romanowska", role = "rev", email = "Julia.Romanowska@uib.no", comment = "Julia reviewed the package for rOpenSci , see <https://github.com/ropensci/software-review/issues/326/>"), person(given = "Eric", family = "Brown", role = "rev", email = "eb@ericebrown.com", comment = "Eric reviewed the package for rOpenSci , see <https://github.com/ropensci/software-review/issues/326/>"))
Description: Functions for the import, transformation, and analysis of data from muscle physiology experiments. The work loop technique is used to evaluate the mechanical work and power output of muscle. Josephson (1985) <doi:10.1242/jeb.114.1.493> modernized the technique for application in comparative biomechanics. Although our initial motivation was to provide functions to analyze work loop experiment data, as we developed the package we incorporated the ability to analyze data from experiments that are often complementary to work loops. There are currently three supported experiment types: work loops, simple twitches, and tetanus trials. Data can be imported directly from .ddf files or via an object constructor function. Through either method, data can then be cleaned or transformed via methods typically used in studies of muscle physiology. Data can then be analyzed to determine the timing and magnitude of force development and relaxation (for isometric trials) or the magnitude of work, net power, and instantaneous power among other things (for work loops). Although we do not provide plotting functions, all resultant objects are designed to be friendly to visualization via either base-R plotting or 'tidyverse' functions. This package has been peer-reviewed by rOpenSci (v. 1.1.0).
URL: https://docs.ropensci.org/workloopR/, https://github.com/ropensci/workloopR/
BugReports: https://github.com/ropensci/workloopR/issues/
Imports: pracma (>= 2.0.7), signal (>= 0.7-6)
Suggests: testthat (>= 2.1.1), knitr, rmarkdown, dplyr, ggplot2, magrittr, purrr, tidyr
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-05-05 01:12:54 UTC; vbali
Author: Vikram B. Baliga [aut, cre] (<https://orcid.org/0000-0002-9367-8974>), Shreeram Senthivasan [aut] (<https://orcid.org/0000-0002-7118-9547>), Julia Romanowska [rev] (Julia reviewed the package for rOpenSci , see <https://github.com/ropensci/software-review/issues/326/>), Eric Brown [rev] (Eric reviewed the package for rOpenSci , see <https://github.com/ropensci/software-review/issues/326/>)
Maintainer: Vikram B. Baliga <vbaliga87@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-06 08:10:02 UTC

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New package RHclust with initial version 1.0.0
Package: RHclust
Title: Vectors in Partitioning
Version: 1.0.0
Authors@R: c(person("Joseph","Handwerker", role = c("aut", "cre"), email = "jkhndwrk@memphis.edu"), person("Lauren","Sobral", role = "ctb"), person("Meredith","Ray", role = c("aut","ctb")))
Maintainer: Joseph Handwerker <jkhndwrk@memphis.edu>
Description: Non-parametric clustering of joint pattern multi-genetic/epigenetic factors. The goal of this package is to cluster subjects based on gene features including single nucleotide polymorphisms (SNPs), DNA methylation (CPG), and gene expression (GE). The novel concept follows the general K-means (Hartigan and Wong (1979) <doi:10.2307/2346830> framework but uses weighted Euclidean distances across the gene features to cluster subjects. This approach is unique in that it attempts to capture all pairwise interactions in an effort to cluster based on their complex biological interactions.
License: Artistic-2.0
Encoding: UTF-8
Imports: Runuran,graphics,stats,utils
NeedsCompilation: no
Packaged: 2021-05-05 15:52:27 UTC; kip
Author: Joseph Handwerker [aut, cre], Lauren Sobral [ctb], Meredith Ray [aut, ctb]
Repository: CRAN
Date/Publication: 2021-05-06 09:00:05 UTC

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New package pathviewr with initial version 1.0.1
Package: pathviewr
Title: Wrangle, Analyze, and Visualize Animal Movement Data
Version: 1.0.1
Authors@R: c(person(given = "Vikram B.", family = "Baliga", role = c("aut", "cre"), email = "vbaliga87@gmail.com", comment = c(ORCID = "0000-0002-9367-8974")), person(given = "Melissa S.", family = "Armstrong", role = "aut", email = "melissa.armstrong@gmail.com", comment = c(ORCID = "0000-0002-3059-0094")), person(given = "Eric R.", family = "Press", role = "aut", email = "epress12@gmail.com", comment = c(ORCID = "0000-0002-1944-3755")), person(given = "Anne-Sophie", family = "Bonnet-Lebrun", role = "rev"), person(given = "Marco", family = "Sciaini", role = "rev") )
Description: Tools to import, clean, and visualize movement data, particularly from motion capture systems such as Optitrack's 'Motive', the Straw Lab's 'Flydra', or from other sources. We provide functions to remove artifacts, standardize tunnel position and tunnel axes, select a region of interest, isolate specific trajectories, fill gaps in trajectory data, and calculate 3D and per-axis velocity. For experiments of visual guidance, we also provide functions that use subject position to estimate perception of visual stimuli.
Maintainer: Vikram B. Baliga <vbaliga87@gmail.com>
License: GPL-3
Encoding: UTF-8
Imports: R.matlab, data.table (>= 1.12.2), magrittr (>= 1.5), dplyr (>= 1.0.0), stringr (>= 1.4.0), tibble (>= 3.0.1), tidyr (>= 1.1.0), fANCOVA, purrr (>= 0.3.3), ggplot2 (>= 3.3.0), tidyselect (>= 1.1.0), cowplot
Suggests: knitr, rmarkdown, testthat, covr
VignetteBuilder: knitr
URL: https://github.com/ropensci/pathviewr/, https://docs.ropensci.org/pathviewr/
BugReports: https://github.com/ropensci/pathviewr/issues/
NeedsCompilation: no
Packaged: 2021-05-05 01:48:09 UTC; vbali
Author: Vikram B. Baliga [aut, cre] (<https://orcid.org/0000-0002-9367-8974>), Melissa S. Armstrong [aut] (<https://orcid.org/0000-0002-3059-0094>), Eric R. Press [aut] (<https://orcid.org/0000-0002-1944-3755>), Anne-Sophie Bonnet-Lebrun [rev], Marco Sciaini [rev]
Repository: CRAN
Date/Publication: 2021-05-06 08:10:05 UTC

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New package modelimpact with initial version 1.0.0
Package: modelimpact
Title: Functions to Assess the Business Impact of Churn Prediction Models
Version: 1.0.0
Author: Peer Christensen
Maintainer: Peer Christensen <hr.pchristensen@gmail.com>
Description: Calculate the financial impact of using a churn model in terms of cost, revenue, profit and return on investment.
License: MIT + file LICENSE
URL: https://github.com/PeerChristensen/modelimpact
BugReports: https://github.com/PeerChristensen/modelimpact/issues
Encoding: UTF-8
LazyData: true
Imports: dplyr, magrittr, utils
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-05-05 14:33:56 UTC; peerchristensen
Repository: CRAN
Date/Publication: 2021-05-06 08:50:02 UTC

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Package mgwrsar updated to version 0.1-1 with previous version 0.1 dated 2018-05-11

Title: GWR and MGWR with Spatial Autocorrelation
Description: Functions for computing (Mixed) Geographycally Weighted Regression with spatial autocorrelation, Geniaux and Martinetti (2017) <doi:10.1016/j.regsciurbeco.2017.04.001>.
Author: Ghislain Geniaux and Davide Martinetti
Maintainer: Ghislain Geniaux <ghislain.geniaux@inra.fr>

Diff between mgwrsar versions 0.1 dated 2018-05-11 and 0.1-1 dated 2021-05-06

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 mgwrsar-0.1-1/mgwrsar/R/kernelW_C.R                        |    2 
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 31 files changed, 837 insertions(+), 758 deletions(-)

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New package interflex with initial version 1.2.5
Package: interflex
Version: 1.2.5
Title: Multiplicative Interaction Models Diagnostics and Visualization
Date: 2021-05-02
Authors@R: c(person("Jens Hainmueller", role=c("aut","ctb")), person("Jonathan Mummolo", role=c("aut","ctb")), person("Yiqing Xu", role=c("aut","ctb"), email = "yiqingxu@stanford.edu"), person("Ziyi Liu", role=c("aut","cre"), email = "zyliu2020@uchicago.edu"))
Description: Performs diagnostic tests of multiplicative interaction models and plots non-linear marginal effects of a treatment on an outcome across different values of a moderator.
URL: http://yiqingxu.org/software/interaction/RGuide.html
License: MIT + file LICENSE
Imports: ggplot2 (>= 2.1.0), sandwich (>= 2.3-4), Lmoments (>= 1.2-3), doParallel (>= 1.0.10), foreach (>= 1.4.3), mgcv(>= 1.8-16), lfe (>= 2.6-2291), gridExtra, grid, ggplotify, RColorBrewer,pcse, gtable, MASS, mvtnorm, pROC, ModelMetrics, Rcpp, lmtest, AER, future
LinkingTo: Rcpp, RcppArmadillo
LazyData: true
NeedsCompilation: yes
Maintainer: Ziyi Liu <zyliu2020@uchicago.edu>
Packaged: 2021-05-05 02:35:49 UTC; cug
Depends: R (>= 3.5.0)
Author: Jens Hainmueller [aut, ctb], Jonathan Mummolo [aut, ctb], Yiqing Xu [aut, ctb], Ziyi Liu [aut, cre]
Repository: CRAN
Date/Publication: 2021-05-06 08:20:06 UTC

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New package greeks with initial version 0.0.1
Package: greeks
Title: Calculates Sensitivities of Prices of Financial Options
Version: 0.0.1
Authors@R: person(given = "Anselm", family = "Hudde", role = c("aut", "cre"), email = "anselmhudde@gmx.de", comment = c(ORCID = "0000-0002-5652-2815"))
Description: Provides functions to calculate sensitivities of financial option prices for European and Asian options in the Black Scholes model. Classical formulas are implemented for European options in the Black Scholes Model, as is presented in Hull, J. C. (2017). Options, Futures, and Other Derivatives, Global Edition (9th Edition). Pearson. In the case of Asian options, Malliavin Monte Carlo Greeks are implemented, see Hudde, A. & Rüschendorf, L. (2016). European and Asian Malliavin Monte Carlo Greeks for general Jump Diffusions with nonvanishing Brownian motion part. <arXiv:1603.00920>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: magrittr
NeedsCompilation: no
Packaged: 2021-05-05 15:13:01 UTC; Compi
Author: Anselm Hudde [aut, cre] (<https://orcid.org/0000-0002-5652-2815>)
Maintainer: Anselm Hudde <anselmhudde@gmx.de>
Repository: CRAN
Date/Publication: 2021-05-06 09:00:02 UTC

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New package good with initial version 1.0.0
Package: good
Title: Good Regression
Version: 1.0.0
Authors@R: c(person(given = "Jordi", family = "Tur", role = c("aut", "cre"), email = "jjtur@crm.cat"), person(given = "David", family = "Moriña", role = "ctb"), person(given = "Pere", family = "Puig", role = "ctb"), person(given = "Argimiro", family = "Arratia", role = "ctb"), person(given = "Alejandra", family = "Cabaña", role = "ctb"), person(given = "Amanda", family = "Fernández-Fontelo", role = "aut"))
Description: Fit Good regression models to count data (Tur et al., 2021) <arXiv:2105.01557>. The package provides functions for model estimation and model prediction. Density, distribution function, quantile function and random generation for the Good distribution are also provided.
License: GPL (>= 2)
Imports: copula, maxLik, plyr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2021-05-05 14:52:44 UTC; tur
Author: Jordi Tur [aut, cre], David Moriña [ctb], Pere Puig [ctb], Argimiro Arratia [ctb], Alejandra Cabaña [ctb], Amanda Fernández-Fontelo [aut]
Maintainer: Jordi Tur <jjtur@crm.cat>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2021-05-06 08:50:05 UTC

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New package ecostatscale with initial version 1.0
Package: ecostatscale
Title: Statistical Scaling Functions for Ecological Systems
Version: 1.0
Authors@R: c(person("Adam", "Clark", role = c("aut", "cre"), email = c("adam.tclark@gmail.com"), comment = c(ORCID = "0000-0002-8843-3278")))
Description: Implementation of the scaling functions presented in "General statistical scaling laws for stability in ecological systems" by Clark et al in Ecology Letters <DOI:10.1111/ele.13760>. Includes functions for extrapolating variability, resistance, and resilience across spatial and ecological scales, as well as a basic simulation function for producing time series, and a regression routine for generating unbiased parameter estimates. See the main text of the paper for more details.
Imports: mvtnorm, stats, graphics, deSolve
License: GPL-3
Encoding: UTF-8
Date: 2021-05-05
NeedsCompilation: no
Packaged: 2021-05-05 10:26:13 UTC; adamt
Author: Adam Clark [aut, cre] (<https://orcid.org/0000-0002-8843-3278>)
Maintainer: Adam Clark <adam.tclark@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-06 08:20:09 UTC

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New package TopDom with initial version 0.10.1
Package: TopDom
Version: 0.10.1
Title: An Efficient and Deterministic Method for Identifying Topological Domains in Genomes
Depends: R (>= 3.3.0)
Imports: matrixStats, grid, ggplot2, reshape2, tibble
Suggests: diffobj (>= 0.1.11)
Authors@R: c(person("Henrik", "Bengtsson", role = c("aut", "cre", "cph"), email = "henrikb@braju.com"), person("Hanjun", "Shin", role = c("aut", "ctr", "cph"), email = "shanjun@usc.edu"), person("Harris", "Lazaris", role = c("ctr", "cph"), comment = "PhD Student, NYU"), person("Gangqing", "Hu", role = c("ctr", "cph"), comment = "Staff Scientist, NIH"), person("Xianghong", "Zhou", role = c("ctr"), email = "XJZhou@mednet.ucla.edu"))
Description: The 'TopDom' method identifies topological domains in genomes from Hi-C sequence data (Shin et al., 2016 <doi:10.1093/nar/gkv1505>). The authors published an implementation of their method as an R script (two different versions; also available in this package). This package originates from those original 'TopDom' R scripts and provides help pages adopted from the original 'TopDom' PDF documentation. It also provides a small number of bug fixes to the original code.
License: GPL
LazyLoad: TRUE
URL: https://github.com/HenrikBengtsson/TopDom
BugReports: https://github.com/HenrikBengtsson/TopDom/issues
NeedsCompilation: no
Packaged: 2021-05-04 15:51:05 UTC; hb
Author: Henrik Bengtsson [aut, cre, cph], Hanjun Shin [aut, ctr, cph], Harris Lazaris [ctr, cph] (PhD Student, NYU), Gangqing Hu [ctr, cph] (Staff Scientist, NIH), Xianghong Zhou [ctr]
Maintainer: Henrik Bengtsson <henrikb@braju.com>
Repository: CRAN
Date/Publication: 2021-05-06 07:40:03 UTC

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Package miscFuncs updated to version 1.5 with previous version 1.3 dated 2020-03-05

Title: Miscellaneous Useful Functions Including LaTeX Tables, Kalman Filtering and Development Tools
Description: Implementing various things including functions for LaTeX tables, the Kalman filter, web scraping, development tools, relative risk and odds ratio.
Author: Benjamin M. Taylor
Maintainer: Benjamin M. Taylor <benjamin.taylor.software@gmail.com>

Diff between miscFuncs versions 1.3 dated 2020-03-05 and 1.5 dated 2021-05-06

 DESCRIPTION            |    8 ++++----
 MD5                    |   12 ++++++------
 R/latextable.R         |   43 +++++++++++++++++++++++++++++--------------
 R/roxtext.R            |   23 +++++++++++++----------
 inst/doc/miscFuncs.pdf |binary
 man/latextable.Rd      |    6 ++++++
 man/roxtext.Rd         |    4 ++--
 7 files changed, 60 insertions(+), 36 deletions(-)

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New package ggstream with initial version 0.1.0
Package: ggstream
Title: Create Streamplots in 'ggplot2'
Version: 0.1.0
Authors@R: person(given = "David", family = "Sjoberg", role = c("aut", "cre"), email = "dav.sjob@gmail.com")
Description: Make smoothed stacked area charts in 'ggplot2'. Stream plots are useful to show magnitude trends over time.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Imports: ggplot2, purrr, dplyr, stats, magrittr, tidyr, forcats
Suggests: testthat (>= 2.1.0)
NeedsCompilation: no
Packaged: 2021-05-04 17:27:21 UTC; davidsjoberg
Author: David Sjoberg [aut, cre]
Maintainer: David Sjoberg <dav.sjob@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-06 07:50:03 UTC

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New package elisr with initial version 0.1.0
Package: elisr
Title: Exploratory Likert Scaling
Version: 0.1.0
Authors@R: c(person(given = "Steven", family = "Bißantz", role = c("aut", "cre"), email = "steven.bissantz@gmail.com"), person(given = "Thomas", family = "Müller-Schneider", role = "ctb", email = "tms@uni-landau.de"))
Description: An alternative to Exploratory Factor Analysis (EFA) for metrical data in R. Drawing on characteristics of classical test theory, Exploratory Likert Scaling (ELiS) supports the user exploring multiple one-dimensional data structures. In common research practice, however, EFA remains the go-to method to uncover the (underlying) structure of a data set. Orthogonal dimensions and the potential of overextraction are often accepted as side effects. As described in Müller-Schneider (2001) <doi:10.1515/zfsoz-2001-0404>), ELiS confronts these problems. As a result, 'elisr' provides the platform to fully exploit the exploratory potential of the multiple scaling approach itself.
License: GPL (>= 3)
URL: https://github.com/sbissantz/elisr
BugReports: https://github.com/sbissantz/elisr/issues
Depends: R (>= 4.0.0)
Imports: stats (>= 4.0.0)
Suggests: covr, devtools, knitr, pkgdown, psych, rmarkdown, testthat
VignetteBuilder: knitr
Encoding: UTF-8
Language: en, de
LazyData: true
NeedsCompilation: no
Packaged: 2021-05-04 17:44:37 UTC; steven
Author: Steven Bißantz [aut, cre], Thomas Müller-Schneider [ctb]
Maintainer: Steven Bißantz <steven.bissantz@gmail.com>
Repository: CRAN
Date/Publication: 2021-05-06 07:50:05 UTC

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New package div with initial version 0.3.1
Package: div
Title: Report on Diversity and Inclusion in a Corporate Setting
Version: 0.3.1
Authors@R: person("Philippe J.S.", "De Brouwer", email = "philippe@de-brouwer.com", role = c("aut", "cre"))
Maintainer: Philippe J.S. De Brouwer <philippe@de-brouwer.com>
License: AGPL (>= 3)
URL: http://www.de-brouwer.com/div/
BugReports: https://github.com/DrPhilippeDB/div/issues/
Description: Facilitate the analysis of teams in a corporate setting: assess the diversity per grade and job, present the results, search for bias (in hiring and/or promoting processes). It also provides methods to simulate the effect of bias, random team-data, etc. White paper: 'Philippe J.S. De Brouwer' (2021) <http://www.de-brouwer.com/assets/div/div-white-paper.pdf>. Book (chapter 36): 'Philippe J.S. De Brouwer' (2020, ISBN:978-1-119-63272-6) and 'Philippe J.S. De Brouwer' (2020) <doi:10.1002/9781119632757>.
Encoding: UTF-8
Collate: 'headers.R' 'diversity.R' 'div_conf_colour.R' 'div_fake_team.R' 'div_ci_median.R' 'div_paygap.R' 'div_parse_paygap.R' 'div_round_paygap.R' 'div_gauge_plot.R' 'div_plot_paygap_distribution.R' 'div_add_median_label.R' 'print.paygap.R' 'summary.paygap.R'
Depends: R (>= 3.4.0), tidyverse
Imports: rlang, dplyr, tibble, tidyr, stringr, magrittr, ggplot2, gridExtra, plotly, pryr, rpart, kableExtra
Suggests: flexdashboard, knitr, rmarkdown, grid, lattice
NeedsCompilation: no
Repository: CRAN
Packaged: 2021-05-04 19:02:09 UTC; philippe
Author: Philippe J.S. De Brouwer [aut, cre]
Date/Publication: 2021-05-06 08:00:02 UTC

More information about div at CRAN
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Package covglasso (with last version 1.0.2) was removed from CRAN

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

2020-05-29 1.0.2
2020-02-08 1.0.1
2020-01-15 1.0

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Package loon updated to version 1.3.5 with previous version 1.3.4 dated 2021-03-16

Title: Interactive Statistical Data Visualization
Description: An extendable toolkit for interactive data visualization and exploration.
Author: Adrian Waddell [aut], R. Wayne Oldford [aut, cre, ths], Zehao Xu [ctb], Martin Gauch [ctb]
Maintainer: R. Wayne Oldford <rwoldford@uwaterloo.ca>

Diff between loon versions 1.3.4 dated 2021-03-16 and 1.3.5 dated 2021-05-06

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 loon-1.3.5/loon/MD5                                      |   62 +++---
 loon-1.3.5/loon/NAMESPACE                                |    4 
 loon-1.3.5/loon/NEWS.md                                  |   17 +
 loon-1.3.5/loon/R/as_r_size.R                            |only
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 loon-1.3.5/loon/R/l_pairs.R                              |   22 +-
 loon-1.3.5/loon/R/l_toplevel.R                           |    2 
 loon-1.3.5/loon/R/l_web.R                                |   38 ++-
 loon-1.3.5/loon/R/loonGrob.R                             |  133 ++++++-------
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 loon-1.3.5/loon/R/loonGrob_l_layer_histogram.R           |   10 +
 loon-1.3.5/loon/R/loonGrob_l_layer_scatterplot.R         |   51 +----
 loon-1.3.5/loon/R/loonGrob_l_serialaxes.R                |   12 +
 loon-1.3.5/loon/README.md                                |   14 +
 loon-1.3.5/loon/inst/doc/introduction.html               |    4 
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 loon-1.3.5/loon/inst/tcl/loon/library/optionDatabase.tcl |    3 
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 loon-1.3.5/loon/man/l_toplevel.Rd                        |    2 
 loon-1.3.5/loon/man/l_web.Rd                             |   31 ++-
 loon-1.3.5/loon/man/minority.Rd                          |    2 
 loon-1.3.5/loon/tests/testthat/test_facets.R             |  146 +++++++++++++++
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Package SortedEffects updated to version 1.4.0 with previous version 1.3.0 dated 2021-04-07

Title: Estimation and Inference Methods for Sorted Causal Effects and Classification Analysis
Description: Implements the estimation and inference methods for sorted causal effects and classification analysis as in Chernozhukov, Fernandez-Val and Luo (2018) <doi:10.3982/ECTA14415>.
Author: Shuowen Chen [aut, cre], Victor Chernozhukov [aut], Ivan Fernandez-Val [aut], Ye Luo [aut]
Maintainer: Shuowen Chen <swchen@bu.edu>

Diff between SortedEffects versions 1.3.0 dated 2021-04-07 and 1.4.0 dated 2021-05-06

 DESCRIPTION                 |    6 -
 MD5                         |   14 +-
 NEWS.md                     |    6 -
 R/ca.R                      |  178 ++----------------------------
 R/peestimate.R              |  260 ++++++++++++++++++++++----------------------
 R/spe.R                     |   86 ++++----------
 R/subpop.R                  |   66 +++--------
 inst/doc/SortedEffects.html |    4 
 8 files changed, 206 insertions(+), 414 deletions(-)

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