Tue, 04 Aug 2020

Package RcppCCTZ updated to version 0.2.8 with previous version 0.2.7 dated 2020-03-18

Title: 'Rcpp' Bindings for the 'CCTZ' Library
Description: 'Rcpp' Access to the 'CCTZ' timezone library is provided. 'CCTZ' is a C++ library for translating between absolute and civil times using the rules of a time zone. The 'CCTZ' source code, released under the Apache 2.0 License, is included in this package. See <https://github.com/google/cctz> for more details.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppCCTZ versions 0.2.7 dated 2020-03-18 and 0.2.8 dated 2020-08-04

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Package paws updated to version 0.1.9 with previous version 0.1.8 dated 2020-04-28

Title: Amazon Web Services Software Development Kit
Description: Interface to Amazon Web Services <https://aws.amazon.com>, including storage, database, and compute services, such as 'Simple Storage Service' ('S3'), 'DynamoDB' 'NoSQL' database, and 'Lambda' functions-as-a-service.
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>

Diff between paws versions 0.1.8 dated 2020-04-28 and 0.1.9 dated 2020-08-04

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Package OUwie updated to version 2.4 with previous version 2.3 dated 2020-06-25

Title: Analysis of Evolutionary Rates in an OU Framework
Description: Estimates rates for continuous character evolution under Brownian motion and a new set of Ornstein-Uhlenbeck based Hansen models that allow both the strength of the pull and stochastic motion to vary across selective regimes. Beaulieu et al (2012) <doi:10.1111/j.1558-5646.2012.01619.x>.
Author: Jeremy M. Beaulieu <jmbeauli@uark.edu>, Brian O'Meara <bomeara@utk.edu>
Maintainer: Jeremy Beaulieu <jmbeauli@uark.edu>

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Package canvasXpress.data updated to version 1.29.0 with previous version 1.28.3 dated 2020-05-19

Title: Datasets for the 'canvasXpress' Package
Description: Contains the prepared data that is needed for the 'shiny' application examples in the 'canvasXpress' package. This package also includes datasets used for automated 'testthat' tests. Scotto L, Narayan G, Nandula SV, Arias-Pulido H et al. (2008) <doi:10.1002/gcc.20577>. Davis S, Meltzer PS (2007) <doi:10.1093/bioinformatics/btm254>.
Author: Isaac Neuhaus [aut], Connie Brett [aut, cre], Ger Inberg [aut]
Maintainer: Connie Brett <connie@aggregate-genius.com>

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Package rmargint updated to version 2.0.2 with previous version 1.0.2 dated 2019-06-28

Title: Robust Marginal Integration Procedures
Description: Three robust marginal integration procedures for additive models based on local polynomial kernel smoothers. As a preliminary estimator of the multivariate function for the marginal integration procedure, a first approach uses local constant M-estimators, a second one uses local polynomials of order 1 over all the components of covariates, and the third one uses M-estimators based on local polynomials but only in the direction of interest. For this last approach, estimators of the derivatives of the additive functions can be obtained. All three procedures can compute predictions for points outside the training set if desired. See Boente and Martinez (2017) <doi:10.1007/s11749-016-0508-0> for details.
Author: Alejandra Martinez [aut, cre], Matias Salibian-Barrera [aut]
Maintainer: Alejandra Martinez <ale_m_martinez@hotmail.com>

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Package CalibrateSSB updated to version 1.3.0 with previous version 1.2 dated 2019-12-06

Title: Weighting and Estimation for Panel Data with Non-Response
Description: Functions to calculate weights, estimates of changes and corresponding variance estimates for panel data with non-response. Partially overlapping samples are handled. Initially, weights are calculated by linear calibration. By default, the survey package is used for this purpose. It is also possible to use ReGenesees, which can be installed from <https://github.com/DiegoZardetto/ReGenesees>. Variances of linear combinations (changes and averages) and ratios are calculated from a covariance matrix based on residuals according to the calibration model. The methodology was presented at the conference, The Use of R in Official Statistics, and is described in Langsrud (2016) <http://www.revistadestatistica.ro/wp-content/uploads/2016/06/RRS2_2016_A021.pdf>.
Author: Øyvind Langsrud
Maintainer: Oyvind Langsrud <oyl@ssb.no>

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Package rMEA updated to version 1.2.0 with previous version 1.1.0 dated 2019-03-22

Title: Synchrony in Motion Energy Analysis (MEA) Time-Series
Description: A suite of tools useful to read, visualize and export bivariate motion energy time-series. Lagged synchrony between subjects can be analyzed through windowed cross-correlation. Surrogate data generation allows an estimation of pseudosynchrony that helps to estimate the effect size of the observed synchronization. Ramseyer & Tschacher (2011) <doi:10.1037/a0023419>.
Author: Johann R. Kleinbub, Fabian Ramseyer
Maintainer: Johann R. Kleinbub <johann.kleinbub@gmail.com>

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Package rcarbon updated to version 1.3.3 with previous version 1.3.2 dated 2020-07-25

Title: Calibration and Analysis of Radiocarbon Dates
Description: Enables the calibration and analysis of radiocarbon dates, often but not exclusively for the purposes of archaeological research. It includes functions not only for basic calibration, uncalibration, and plotting of one or more dates, but also a statistical framework for building demographic and related longitudinal inferences from aggregate radiocarbon date lists, including: Monte-Carlo simulation test (Timpson et al 2014 <doi:10.1016/j.jas.2014.08.011>), random mark permutation test (Crema et al 2016 <doi:10.1371/journal.pone.0154809>) and spatial permutation tests (Crema, Bevan, and Shennan 2017 <doi:10.1016/j.jas.2017.09.007>).
Author: Andrew Bevan [aut], Enrico Crema [aut, cre], R. Kyle Bocinsky [ctb], Martin Hinz [ctb], Philip Riris [ctb], Fabio Silva [ctb]
Maintainer: Enrico Crema <enrico.crema@gmail.com>

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Package r2dii.data updated to version 0.1.2 with previous version 0.1.1 dated 2020-06-10

Title: Datasets to Align Financial Markets with Climate Goals
Description: These datasets support the implementation in R of the software 'PACTA' (Paris Agreement Capital Transition Assessment), which is a free tool that calculates the alignment between financial assets and climate scenarios (<https://2degrees-investing.org/>). Financial institutions use 'PACTA' to study how their capital allocation impacts the climate. Because both financial institutions and market data providers keep their data private, this package provides fake, public data to enable the development and use of 'PACTA' in R.
Author: Mauro Lepore [aut, cre, ctr] (<https://orcid.org/0000-0002-1986-7988>), Jackson Hoffart [aut, dtc] (<https://orcid.org/0000-0002-8600-5042>), Klaus Hagedorn [aut], 2 Degrees Investing Initiative [cph, fnd]
Maintainer: Mauro Lepore <maurolepore@gmail.com>

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Package parsnip updated to version 0.1.3 with previous version 0.1.2 dated 2020-07-03

Title: A Common API to Modeling and Analysis Functions
Description: A common interface is provided to allow users to specify a model without having to remember the different argument names across different functions or computational engines (e.g. 'R', 'Spark', 'Stan', etc).
Author: Max Kuhn [aut, cre], Davis Vaughan [aut], RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

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Package imputeTS updated to version 3.1 with previous version 3.0 dated 2019-07-01

Title: Time Series Missing Value Imputation
Description: Imputation (replacement) of missing values in univariate time series. Offers several imputation functions and missing data plots. Available imputation algorithms include: 'Mean', 'LOCF', 'Interpolation', 'Moving Average', 'Seasonal Decomposition', 'Kalman Smoothing on Structural Time Series models', 'Kalman Smoothing on ARIMA models'. Published in Moritz and Bartz-Beielstein (2017) <doi: 10.32614/RJ-2017-009>.
Author: Steffen Moritz [aut, cre, cph] (<https://orcid.org/0000-0002-0085-1804>), Sebastian Gatscha [aut], Earo Wang [ctb] (<https://orcid.org/0000-0001-6448-5260>)
Maintainer: Steffen Moritz <steffen.moritz10@gmail.com>

Diff between imputeTS versions 3.0 dated 2019-07-01 and 3.1 dated 2020-08-04

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Package BUCSS updated to version 1.2.0 with previous version 1.1.0 dated 2019-01-15

Title: Bias and Uncertainty Corrected Sample Size
Description: Bias- and Uncertainty-Corrected Sample Size. BUCSS implements a method of correcting for publication bias and uncertainty when planning sample sizes in a future study from an original study. See Anderson, Kelley, & Maxwell (2017; Psychological Science, 28, 1547-1562).
Author: Samantha F. Anderson <samantha.f.anderson@asu.edu>, Ken Kelley <kkelley@nd.edu>
Maintainer: Ken Kelley <kkelley@nd.edu>

Diff between BUCSS versions 1.1.0 dated 2019-01-15 and 1.2.0 dated 2020-08-04

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More information about BUCSS at CRAN
Permanent link

Package stepR updated to version 2.1-0 with previous version 2.0-4 dated 2019-11-03

Title: Multiscale Change-Point Inference
Description: Allows fitting of step-functions to univariate serial data where neither the number of jumps nor their positions is known by implementing the multiscale regression estimators SMUCE (K. Frick, A. Munk and H. Sieling, 2014) <doi:10.1111/rssb.12047> and HSMUCE (F. Pein, H. Sieling and A. Munk, 2017) <doi:10.1111/rssb.12202>. In addition, confidence intervals for the change-point locations and bands for the unknown signal can be obtained.
Author: Pein Florian [aut, cre], Thomas Hotz [aut], Hannes Sieling [aut], Timo Aspelmeier [ctb]
Maintainer: Pein Florian <fp366@cam.ac.uk>

Diff between stepR versions 2.0-4 dated 2019-11-03 and 2.1-0 dated 2020-08-04

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Package DataVisualizations updated to version 1.2.0 with previous version 1.1.12 dated 2020-05-17

Title: Visualizations of High-Dimensional Data
Description: Gives access to data visualisation methods that are relevant from the data scientist's point of view. The flagship idea of 'DataVisualizations' is the mirrored density plot (MD-plot) for either classified or non-classified multivariate data presented in Thrun et al. (2019) <arXiv:1908.06081>. The MD-plot outperforms the box-and-whisker diagram (box plot), violin plot and bean plot. Furthermore, a collection of various visualization methods for univariate data is provided. In the case of exploratory data analysis, 'DataVisualizations' makes it possible to inspect the distribution of each feature of a dataset visually through a combination of four methods. One of these methods is the Pareto density estimation (PDE) of the probability density function (pdf). Additionally, visualizations of the distribution of distances using PDE, the scatter-density plot using PDE for two variables as well as the Shepard density plot and the Bland-Altman plot are presented here. Pertaining to classified high-dimensional data, a number of visualizations are described, such as f.ex. the heat map and silhouette plot. A political map of the world or Germany can be visualized with the additional information defined by a classification of countries or regions. By extending the political map further, an uncomplicated function for a Choropleth map can be used which is useful for measurements across a geographic area. For categorical features, the Pie charts, slope charts and fan plots, improved by the ABC analysis, become usable. More detailed explanations are found in the book by Thrun, M.C.: "Projection-Based Clustering through Self-Organization and Swarm Intelligence" (2018) <doi:10.1007/978-3-658-20540-9>.
Author: Michael Thrun [aut, cre, cph] (<https://orcid.org/0000-0001-9542-5543>), Felix Pape [aut, rev], Onno Hansen-Goos [ctr, ctb], Dirk Eddelbuettel [ctr], Craig Varrichio [ctr], Alfred Ultsch [dtc, ctb, ctr]
Maintainer: Michael Thrun <m.thrun@gmx.net>

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Package pedtools updated to version 0.9.5 with previous version 0.9.4 dated 2020-06-18

Title: Creating and Working with Pedigrees and Marker Data
Description: A lightweight, but comprehensive collection of tools for creating, manipulating and visualising pedigrees and genetic marker data. Pedigrees can be read from text files or created on the fly with built-in functions. A range of utilities enable modifications like adding or removing individuals, breaking loops, and merging pedigrees. Pedigree plots are produced by wrapping the plotting functionality of the 'kinship2' package.
Author: Magnus Dehli Vigeland [aut, cre] (<https://orcid.org/0000-0002-9134-4962>)
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

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Package hsdar updated to version 1.0.3 with previous version 1.0.2 dated 2020-05-22

Title: Manage, Analyse and Simulate Hyperspectral Data
Description: Transformation of reflectance spectra, calculation of vegetation indices and red edge parameters, spectral resampling for hyperspectral remote sensing, simulation of reflectance and transmittance using the leaf reflectance model PROSPECT and the canopy reflectance model PROSAIL.
Author: Lukas W. Lehnert [cre, aut] (<https://orcid.org/0000-0002-5229-2282>), Hanna Meyer [ctb], Joerg Bendix [ctb]
Maintainer: Lukas W. Lehnert <lukaslehnert@googlemail.com>

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Package cicerone updated to version 1.0.3 with previous version 1.0.1 dated 2020-02-29

Title: Provide Tours of 'Shiny' Applications
Description: Provide step by step guided tours of 'Shiny' applications.
Author: John Coene [aut, cre] (<https://orcid.org/0000-0002-6637-4107>)
Maintainer: John Coene <jcoenep@gmail.com>

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Package censReg updated to version 0.5-32 with previous version 0.5-30 dated 2019-12-13

Title: Censored Regression (Tobit) Models
Description: Maximum Likelihood estimation of censored regression (Tobit) models with cross-sectional and panel data.
Author: Arne Henningsen <arne.henningsen@gmail.com>
Maintainer: Arne Henningsen <arne.henningsen@gmail.com>

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Package tbl2xts updated to version 1.0.2 with previous version 1.0.1 dated 2020-07-21

Title: Convert Tibbles or Data Frames to Xts Easily
Description: Facilitate the movement between data frames to 'xts'. Particularly useful when moving from 'tidyverse' to the widely used 'xts' package, which is the input format of choice to various other packages. It also allows the user to use a 'spread_by' argument for a character column 'xts' conversion.
Author: Nico Katzke [aut, cre]
Maintainer: Nico Katzke <nfkatzke@gmail.com>

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Package stlnpp updated to version 0.3.6 with previous version 0.3.5 dated 2020-02-20

Title: Spatio-Temporal Analysis of Point Patterns on Linear Networks
Description: Statistical analysis of spatio-temporal point processes on linear networks. This packages provides tools to visualise and analyse spatio-temporal point patterns on linear networks using first- and second-order summary statistics.
Author: Mehdi Moradi [aut, cre] (<https://orcid.org/0000-0003-3905-4498>), Ottmar Cronie [ctb], Jorge Mateu [ctb]
Maintainer: Mehdi Moradi <m2.moradi@yahoo.com>

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Package seawaveQ updated to version 2.0.1 with previous version 1.0.0 dated 2013-12-30

Title: SEAWAVE-Q Model
Description: A model and utilities for analyzing trends in chemical concentrations in streams with a seasonal wave (seawave) and adjustment for streamflow (Q) and other ancillary variables.
Author: Karen R. Ryberg [aut, cre], Aldo V. Vecchia [aut], Benjamin York [ctb]
Maintainer: Karen R. Ryberg <kryberg@usgs.gov>

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 78 files changed, 2618 insertions(+), 1735 deletions(-)

More information about seawaveQ at CRAN
Permanent link

Package mstrio updated to version 11.2.2.1 with previous version 11.2.2 dated 2020-06-23

Title: Interface for 'MicroStrategy' REST API
Description: Interface for creating data sets and extracting data through the 'MicroStrategy' REST API. Access the demo API at <https://demo.microstrategy.com/MicroStrategyLibrary/api-docs/index.html>.
Author: Piotr Kowal [cre], Scott Rigney [aut], Zofia Rogala [ctb], Piotr Czyz [ctb], Michal Drzazga [ctb], Oskar Duda [ctb], Filip Godlewski [ctb], Ignacy Hologa [ctb], Adam Piotrowski [ctb], Wojciech Antonczyk [ctb]
Maintainer: Piotr Kowal <pkowal@microstrategy.com>

Diff between mstrio versions 11.2.2 dated 2020-06-23 and 11.2.2.1 dated 2020-08-04

 mstrio-11.2.2.1/mstrio/DESCRIPTION                                                    |    6 +-
 mstrio-11.2.2.1/mstrio/MD5                                                            |   24 ++++-----
 mstrio-11.2.2.1/mstrio/NEWS.md                                                        |    4 +
 mstrio-11.2.2.1/mstrio/README.md                                                      |    4 -
 mstrio-11.2.2.1/mstrio/inst/www/asset-manifest.json                                   |   25 +++++-----
 mstrio-11.2.2.1/mstrio/inst/www/index.html                                            |    2 
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 19 files changed, 37 insertions(+), 30 deletions(-)

More information about mstrio at CRAN
Permanent link

Package geometa updated to version 0.6-3 with previous version 0.6-2 dated 2020-05-14

Title: Tools for Reading and Writing ISO/OGC Geographic Metadata
Description: Provides facilities to handle reading and writing of geographic metadata defined with OGC/ISO 19115, 11119 and 19110 geographic information metadata standards, and encoded using the ISO 19139 (XML) standard. It includes also a facility to check the validity of ISO 19139 XML encoded metadata.
Author: Emmanuel Blondel [aut, cre] (<https://orcid.org/0000-0002-5870-5762>)
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between geometa versions 0.6-2 dated 2020-05-14 and 0.6-3 dated 2020-08-04

 DESCRIPTION                                     |   12 
 MD5                                             |  652 ++++++++++++------------
 R/GMLUnitDefinition.R                           |   14 
 R/INSPIREMetadataValidator.R                    |    5 
 R/ISOAbstractObject.R                           |    3 
 R/geometa.R                                     |    4 
 README.md                                       |    2 
 man/GMLAbstractCRS.Rd                           |    5 
 man/GMLAbstractCoordinateOperation.Rd           |    5 
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 man/geometa.Rd                                  |    4 
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 327 files changed, 992 insertions(+), 1299 deletions(-)

More information about geometa at CRAN
Permanent link

Package adamethods updated to version 1.2.1 with previous version 1.2 dated 2019-03-06

Title: Archetypoid Algorithms and Anomaly Detection
Description: Collection of several algorithms to obtain archetypoids with small and large databases, and with both classical multivariate data and functional data (univariate and multivariate). Some of these algorithms also allow to detect anomalies (outliers). Please see Vinue and Epifanio (2020) <doi:10.1007/s11634-020-00412-9>.
Author: Guillermo Vinue, Irene Epifanio
Maintainer: Guillermo Vinue <Guillermo.Vinue@uv.es>

Diff between adamethods versions 1.2 dated 2019-03-06 and 1.2.1 dated 2020-08-04

 DESCRIPTION               |   12 ++++++------
 MD5                       |   32 ++++++++++++++++----------------
 NEWS                      |    4 ++++
 R/adalara.R               |    2 +-
 R/adalara_no_paral.R      |    2 +-
 R/do_ada.R                |   10 +++++++---
 R/do_fada.R               |   12 +++++++++---
 R/do_fada_multiv.R        |    9 +++++----
 R/do_fada_multiv_robust.R |    2 +-
 R/do_fada_robust.R        |    2 +-
 R/fadalara.R              |    5 +----
 R/fadalara_no_paral.R     |    5 +----
 man/do_ada.Rd             |    7 ++++++-
 man/do_fada.Rd            |    9 ++++++++-
 man/do_fada_multiv.Rd     |    6 ++++--
 man/fadalara.Rd           |    3 ---
 man/fadalara_no_paral.Rd  |    3 ---
 17 files changed, 71 insertions(+), 54 deletions(-)

More information about adamethods at CRAN
Permanent link

New package HDLSSkST with initial version 1.0
Package: HDLSSkST
Type: Package
Title: Distribution-Free Exact High Dimensional Low Sample Size k-Sample Tests
Version: 1.0
Date: 2020-07-30
Authors@R: c(person("Biplab", "Paul", role = c("aut", "cre"), email = "biplab.paul@niser.ac.in"), person("Shyamal K.", "De", role = c("aut")), person("Anil K.", "Ghosh", role = c("aut")))
Maintainer: Biplab Paul <biplab.paul@niser.ac.in>
Description: We construct four new exact level (size) alpha tests for testing the equality of k distributions, which can be conveniently used in high dimensional low sample size setup based on clustering. These tests are easy to implement and distribution-free. Under mild conditions, we have proved the consistency of these tests as the dimension d of each observation grows to infinity, whereas the sample size remains fixed. We also apply step-down-procedure (1979) for multiple testing. Details are in Biplab Paul, Shyamal K De and Anil K Ghosh (2020); Soham Sarkar and Anil K Ghosh (2019) <doi:10.1109/TPAMI.2019.2912599>; William M Rand (1971) <doi:10.1080/01621459.1971.10482356>; Cyrus R Mehta and Nitin R Patel (1983) <doi:10.2307/2288652>; Joseph C Dunn (1973) <doi:10.1080/01969727308546046>; Sture Holm (1979) <doi:10.2307/4615733>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.3), stats, utils
LinkingTo: Rcpp
Author: Biplab Paul [aut, cre], Shyamal K. De [aut], Anil K. Ghosh [aut]
NeedsCompilation: yes
Packaged: 2020-07-30 14:09:05 UTC; GOBINDO
Repository: CRAN
Date/Publication: 2020-08-04 10:42:07 UTC

More information about HDLSSkST at CRAN
Permanent link

New package gkgraphR with initial version 1.0.1
Package: gkgraphR
Title: Accessing the Official 'Google Knowledge Graph' API
Version: 1.0.1
Date: 2020-07-21
Authors@R: person(given = "Ricardo", family = "Correia", email = "rahc85@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-7359-9091"))
Description: A simple way to interact with and extract data from the official 'Google Knowledge Graph' API <https://developers.google.com/knowledge-graph/>.
Language: en-US
URL: https://github.com/racorreia/gkgraphR
BugReports: https://github.com/racorreia/gkgraphR/issues
Depends: R (>= 3.4.0)
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.1.1
Imports: jsonlite(>= 1.5), httr(>= 1.4.1), ISOcodes(>= 2020.03.16)
Suggests: knitr, rmarkdown, qpdf
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-07-30 10:50:38 UTC; rcorreia
Author: Ricardo Correia [aut, cre] (<https://orcid.org/0000-0001-7359-9091>)
Maintainer: Ricardo Correia <rahc85@gmail.com>
Repository: CRAN
Date/Publication: 2020-08-04 10:10:02 UTC

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New package tabularmaps with initial version 0.1.0
Package: tabularmaps
Title: Create Tile-Grid Geographical Maps
Version: 0.1.0
Authors@R: c( person(given = "Shinya", family = "Uryu", email = "suika1127@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-0493-6186")))
Description: The 'tabularmap' is one of the visualization methods for efficiently displaying data consisting of multiple elements by tiling them. When dealing with geospatial, it corrects for differences in visibility between areas.
License: CC BY-SA 4.0
URL: https://github.com/uribo/tabularmaps
BugReports: https://github.com/uribo/tabularmaps/issues
Depends: R (>= 3.3.0)
Imports: ggforce (>= 0.3.2), ggplot2 (>= 3.3.0), purrr (>= 0.3.4), rlang (>= 0.4.7)
Suggests: countrycode, zipangu, knitr, rmarkdown, testthat (>= 2.1.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-07-29 22:10:27 UTC; uri
Author: Shinya Uryu [aut, cre] (<https://orcid.org/0000-0002-0493-6186>)
Maintainer: Shinya Uryu <suika1127@gmail.com>
Repository: CRAN
Date/Publication: 2020-08-04 09:00:02 UTC

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New package rBiasCorrection with initial version 0.2.1
Package: rBiasCorrection
Title: Correct Bias in DNA Methylation Analyses
Version: 0.2.1
Authors@R: c(person(given = "Lorenz A.", family = "Kapsner", role = c("cre", "aut", "cph"), email = "lorenz.kapsner@gmail.com", comment = c(ORCID = "0000-0003-1866-860X")), person(given = "Evgeny A.", family = "Moskalev", role = "aut"))
Description: Implementation of the algorithms (with minor modifications) to correct bias in quantitative DNA methylation analyses as described by Moskalev et al. (2011) <doi:10.1093/nar/gkr213>.
License: GPL-3
URL: https://github.com/kapsner/rBiasCorrection
BugReports: https://github.com/kapsner/rBiasCorrection/issues
Depends: R (>= 2.10)
Imports: data.table, future, future.apply, ggplot2, ggpubr, magrittr, nls2, polynom, stats
Suggests: knitr, lintr, microbenchmark, rmarkdown, testthat
VignetteBuilder: knitr
Date/Publication: 2020-08-04 09:40:03 UTC
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-07-30 10:22:39 UTC; user
Author: Lorenz A. Kapsner [cre, aut, cph] (<https://orcid.org/0000-0003-1866-860X>), Evgeny A. Moskalev [aut]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner@gmail.com>
Repository: CRAN

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New package mmr with initial version 0.1.0
Package: mmr
Type: Package
Title: Matrix Multiplication on Data.frames
Version: 0.1.0
Author: Steve Condylios [aut, cre, cph] (<https://orcid.org/0000-0003-0599-844X>)
Maintainer: Steve Condylios <steve.condylios@gmail.com>
BugReports: https://github.com/stevecondylios/mmr/issues
License: MIT + file LICENSE
URL: https://github.com/stevecondylios/mmr
Description: Simple helpers for matrix multiplication on data.frames. These allow for more concise code during low level mathematical operations, and help ensure code is more easily read, understood, and serviced.
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-07-30 09:07:03 UTC; st
Repository: CRAN
Date/Publication: 2020-08-04 09:20:02 UTC

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Package SP2000 updated to version 0.1.0 with previous version 0.0.9 dated 2020-06-06

Title: Catalogue of Life Toolkit
Description: A programmatic interface to <http://sp2000.org.cn>, re-written based on an accompanying 'Species 2000' API. Access tables describing catalogue of the Chinese known species of animals, plants, fungi, micro-organisms, and more. This package also supports access to catalogue of life global <http://catalogueoflife.org> and catalogue of life Taiwan <https://taibnet.sinica.edu.tw/home_eng.php>. The development of 'SP2000' package were supported by Biodiversity Survey and Assessment Project of the Ministry of Ecology and Environment, China <2019HJ2096001006>,Yunnan University's "Double First Class" Project <C176240405> and Yunnan University's Research Innovation Fund for Graduate Students <2019227>.
Author: Liuyong Ding [aut, cre] (<https://orcid.org/0000-0002-5490-182X>), Minrui Huang [ctb], Ke Yang [ctb], Jun Wang [ctb] (<https://orcid.org/0000-0003-2481-1409>), Juan Tao [ctb], Chengzhi Ding [ctb] (<https://orcid.org/0000-0001-5215-7374>), Daming He [ctb]
Maintainer: Liuyong Ding <ly_ding@126.com>

Diff between SP2000 versions 0.0.9 dated 2020-06-06 and 0.1.0 dated 2020-08-04

 DESCRIPTION                   |   29 ++---
 MD5                           |   62 +++++------
 NAMESPACE                     |    5 
 NEWS                          |    8 +
 R/OnAttach.R                  |   10 +
 R/api_key.R                   |    4 
 R/download_col_china.R        |    6 -
 R/find_synonyms.R             |   23 ++--
 R/get_col_global.R            |  174 +++++++++++++++++++++++++++----
 R/get_col_taiwan.R            |   31 +++--
 R/get_province.R              |    1 
 R/get_redlist_china.R         |   43 ++++---
 R/list_df.R                   |   61 +++--------
 R/open_url.R                  |    1 
 R/search_checklist.R          |   69 ++++++++----
 R/search_family_id.R          |   84 ++++++++++-----
 R/search_taxon_id.R           |  231 +++++++++++++++++++++++++++++-------------
 build/partial.rdb             |binary
 man/SP2000-package.Rd         |   48 ++++----
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 man/download_col_china.Rd     |    4 
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 man/get_col_global.Rd         |   21 ++-
 man/get_col_taiwan.Rd         |   19 ++-
 man/get_province.Rd           |    2 
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 man/list_df.Rd                |   15 +-
 man/open_url.Rd               |    2 
 man/search_checklist.Rd       |   11 +-
 man/search_family_id.Rd       |   12 +-
 man/search_taxon_id.Rd        |   24 ++--
 tests/testthat/test_api_key.R |   12 +-
 32 files changed, 713 insertions(+), 358 deletions(-)

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Package lpdensity updated to version 2.0 with previous version 1.0 dated 2019-07-12

Title: Local Polynomial Density Estimation and Inference
Description: Without imposing stringent distributional assumptions or shape restrictions, nonparametric estimation has been popular in economics and other social sciences for counterfactual analysis, program evaluation, and policy recommendations. This package implements a novel density (and derivatives) estimator based on local polynomial regressions: lpdensity() to construct local polynomial based density (and derivatives) estimator, and lpbwdensity() to perform data-driven bandwidth selection.
Author: Matias D. Cattaneo, Michael Jansson, Xinwei Ma
Maintainer: Xinwei Ma <x1ma@ucsd.edu>

Diff between lpdensity versions 1.0 dated 2019-07-12 and 2.0 dated 2020-08-04

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 lpdensity-2.0/lpdensity/man/lpdensity.Rd              |  152 ++--
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 39 files changed, 1322 insertions(+), 891 deletions(-)

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Package rgdal updated to version 1.5-15 with previous version 1.5-12 dated 2020-06-26

Title: Bindings for the 'Geospatial' Data Abstraction Library
Description: Provides bindings to the 'Geospatial' Data Abstraction Library ('GDAL') (>= 1.11.4) and access to projection/transformation operations from the 'PROJ' library. Use is made of classes defined in the 'sp' package. Raster and vector map data can be imported into R, and raster and vector 'sp' objects exported. The 'GDAL' and 'PROJ' libraries are external to the package, and, when installing the package from source, must be correctly installed first; it is important that 'GDAL' < 3 be matched with 'PROJ' < 6. From 'rgdal' 1.5-8, installed with to 'GDAL' >=3, 'PROJ' >=6 and 'sp' >= 1.4, coordinate reference systems use 'WKT2_2019' strings, not 'PROJ' strings. 'Windows' and 'macOS' binaries (including 'GDAL', 'PROJ' and their dependencies) are provided on 'CRAN'.
Author: Roger Bivand [cre, aut] (<https://orcid.org/0000-0003-2392-6140>), Tim Keitt [aut], Barry Rowlingson [aut, ctb], Edzer Pebesma [ctb], Michael Sumner [ctb], Robert Hijmans [ctb], Even Rouault [cph, ctb], Frank Warmerdam [cph, ctb], Jeroen Ooms [ctb], Colin Rundel [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

Diff between rgdal versions 1.5-12 dated 2020-06-26 and 1.5-15 dated 2020-08-04

 ChangeLog                                     |  127 +
 DESCRIPTION                                   |   12 
 MD5                                           |   95 
 NAMESPACE                                     |    2 
 R/AAA.R                                       |   12 
 R/ogr_sp.R                                    |    8 
 R/project.R                                   |  175 +
 R/wrappers.R                                  |    8 
 configure                                     |   54 
 configure.ac                                  |   19 
 data/nor2k.rda                                |binary
 inst/ChangeLog                                |  127 +
 inst/SVN_VERSION                              |    2 
 inst/doc/CRS_projections_transformations.R    |   81 
 inst/doc/CRS_projections_transformations.Rmd  |  142 -
 inst/doc/CRS_projections_transformations.html | 2269 +++++++++++++++-----
 inst/doc/OGR_shape_encoding.pdf               |binary
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 man/CRS-class.Rd                              |    2 
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 man/RGB2PCT.Rd                                |    2 
 man/SGDF2PCT.Rd                               |    2 
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 man/make_EPSG.Rd                              |    4 
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 man/readOGR.Rd                                |    4 
 man/showWKT.Rd                                |    3 
 man/spTransform-methods.Rd                    |   48 
 man/writeOGR.Rd                               |    2 
 src/init.c                                    |    9 
 src/ogr_proj.cpp                              |   10 
 src/proj6.cpp                                 |  154 +
 src/proj_network7.cpp                         |   41 
 src/projectit.cpp                             |   21 
 src/rgdal.h                                   |    9 
 tests/srs_rendering.Rout.save                 |   10 
 tests/test_proj.R                             |   20 
 tests/test_proj.Rout.save                     |   63 
 vignettes/CRS_projections_transformations.Rmd |  142 -
 vignettes/PROJ.bib                            |    2 
 vignettes/PROJ6_GDAL3.Rmd                     |    6 
 49 files changed, 4735 insertions(+), 1874 deletions(-)

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Package bit updated to version 4.0.4 with previous version 4.0.3 dated 2020-07-30

Title: Classes and Methods for Fast Memory-Efficient Boolean Selections
Description: Provided are classes for boolean and skewed boolean vectors, fast boolean methods, fast unique and non-unique integer sorting, fast set operations on sorted and unsorted sets of integers, and foundations for ff (range index, compression, chunked processing).
Author: Jens Oehlschlägel [aut, cre], Brian Ripley [ctb]
Maintainer: Jens Oehlschlägel <Jens.Oehlschlaegel@truecluster.com>

Diff between bit versions 4.0.3 dated 2020-07-30 and 4.0.4 dated 2020-08-04

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 bit-4.0.4/bit/DESCRIPTION                   |    8 
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 bit-4.0.4/bit/R/bit-package.R               |    9 
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 bit-4.0.4/bit/R/bitsort.R                   |    6 
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 34 files changed, 509 insertions(+), 438 deletions(-)

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