Wed, 01 Apr 2020

Package pcr updated to version 1.2.2 with previous version 1.2.1 dated 2020-02-25

Title: Analyzing Real-Time Quantitative PCR Data
Description: Calculates the amplification efficiency and curves from real-time quantitative PCR (Polymerase Chain Reaction) data. Estimates the relative expression from PCR data using the double delta CT and the standard curve methods Livak & Schmittgen (2001) <doi:10.1006/meth.2001.1262>. Tests for statistical significance using two-group tests and linear regression Yuan et al. (2006) <doi: 10.1186/1471-2105-7-85>.
Author: Mahmoud Ahmed [aut, cre] (<https://orcid.org/0000-0002-4377-6541>)
Maintainer: Mahmoud Ahmed <mahmoud.s.fahmy@students.kasralainy.edu.eg>

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Package IncDTW updated to version 1.1.3.1 with previous version 1.1.3 dated 2019-12-18

Title: Incremental Calculation of Dynamic Time Warping
Description: The Dynamic Time Warping (DTW) distance measure for time series allows non-linear alignments of time series to match similar patterns in time series of different lengths and or different speeds. IncDTW is characterized by (1) the incremental calculation of DTW (reduces runtime complexity to a linear level for updating the DTW distance) - especially for life data streams or subsequence matching, (2) the vector based implementation of DTW which is faster because no matrices are allocated (reduces the space complexity from a quadratic to a linear level in the number of observations) - for all runtime intensive DTW computations, (3) the subsequence matching algorithm runDTW, that efficiently finds the k-NN to a query pattern in a long time series, and (4) C++ in the heart. For details about DTW see the original paper "Dynamic programming algorithm optimization for spoken word recognition" by Sakoe and Chiba (1978) <DOI:10.1109/TASSP.1978.1163055>.
Author: Maximilian Leodolter
Maintainer: Maximilian Leodolter <maximilian.leodolter@gmail.com>

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Package tbm updated to version 0.3-2.1 with previous version 0.3-2 dated 2019-12-11

Title: Transformation Boosting Machines
Description: Boosting the likelihood of conditional and shift transformation models.
Author: Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package taxize updated to version 0.9.94 with previous version 0.9.93 dated 2020-03-20

Title: Taxonomic Information from Around the Web
Description: Interacts with a suite of web 'APIs' for taxonomic tasks, such as getting database specific taxonomic identifiers, verifying species names, getting taxonomic hierarchies, fetching downstream and upstream taxonomic names, getting taxonomic synonyms, converting scientific to common names and vice versa, and more.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Eduard Szoecs [aut], Zachary Foster [aut], Zebulun Arendsee [aut], Carl Boettiger [ctb], Karthik Ram [ctb], Ignasi Bartomeus [ctb], John Baumgartner [ctb], James O'Donnell [ctb], Jari Oksanen [ctb], Bastian Greshake Tzovaras [ctb], Philippe Marchand [ctb], Vinh Tran [ctb], Maëlle Salmon [ctb], Gaopeng Li [ctb], Matthias Grenié [ctb], rOpenSci [fnd] (https://ropensci.org/)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package shadow updated to version 0.6.4.1 with previous version 0.6.4 dated 2020-02-03

Title: Geometric Shadow Calculations
Description: Functions for calculating: (1) shadow height, (2) logical shadow flag, (3) shadow footprint, (4) Sky View Factor and (5) radiation load. Basic required inputs include a polygonal layer of obstacle outlines along with their heights (i.e. "extruded polygons"), sun azimuth and sun elevation. The package also provides functions for related preliminary calculations: breaking polygons into line segments, determining azimuth of line segments, shifting segments by azimuth and distance, constructing the footprint of a line-of-sight between an observer and the sun, and creating a 3D grid covering the surface area of extruded polygons.
Author: Michael Dorman [aut, cre], Evyatar Erell [ctb], Itai Kloog [ctb], Adi Vulkan [ctb]
Maintainer: Michael Dorman <dorman@post.bgu.ac.il>

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Package RNiftyReg updated to version 2.6.8 with previous version 2.6.7 dated 2019-09-11

Title: Image Registration Using the 'NiftyReg' Library
Description: Provides an 'R' interface to the 'NiftyReg' image registration tools <http://sourceforge.net/projects/niftyreg/>. Linear and nonlinear registration are supported, in two and three dimensions.
Author: Jon Clayden [cre, aut], Marc Modat [aut], Benoit Presles [aut], Thanasis Anthopoulos [aut], Pankaj Daga [aut]
Maintainer: Jon Clayden <code@clayden.org>

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Package rmapshaper updated to version 0.4.4 with previous version 0.4.3 dated 2020-01-28

Title: Client for 'mapshaper' for 'Geospatial' Operations
Description: Edit and simplify 'geojson', 'Spatial', and 'sf' objects. This is wrapper around the 'mapshaper' 'JavaScript' library by Matthew Bloch <https://github.com/mbloch/mapshaper/> to perform topologically-aware polygon simplification, as well as other operations such as clipping, erasing, dissolving, and converting 'multi-part' to 'single-part' geometries. It relies on the 'geojsonio' package for working with 'geojson' objects, the 'sf' package for working with 'sf' objects, and the 'sp' and 'rgdal' packages for working with 'Spatial' objects.
Author: Andy Teucher [aut, cre], Kenton Russell [aut] (JavaScript support), Matthew Bloch [cph] (mapshaper Javascript library)
Maintainer: Andy Teucher <andy.teucher@gmail.com>

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Package ISEtools updated to version 3.1.1.1 with previous version 3.1.1 dated 2019-01-08

Title: Tools for Ion Selective Electrodes
Description: Characterisation and calibration of single or multiple Ion Selective Electrodes (ISEs); activity estimation of experimental samples. Implements methods described in: Dillingham, P.W., Radu, T., Diamond, D., Radu, A. and McGraw, C.M. (2012) <doi:10.1002/elan.201100510> and Dillingham, P.W., Alsaedi, B.S.O. and McGraw, C.M. (2017) <doi:10.1109/ICSENS.2017.8233898>.
Author: Peter Dillingham [aut, cre], Christina McGraw [ctb], Aleksandar Radu [ctb], Basim Alsaedi [ctb]
Maintainer: Peter Dillingham <peter.dillingham@otago.ac.nz>

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Package hyperSpec updated to version 0.99-20200213.1 with previous version 0.99-20200213 dated 2020-02-14

Title: Work with Hyperspectral Data, i.e. Spectra + Meta Information (Spatial, Time, Concentration, ...)
Description: Comfortable ways to work with hyperspectral data sets. I.e. spatially or time-resolved spectra, or spectra with any other kind of information associated with each of the spectra. The spectra can be data as obtained in XRF, UV/VIS, Fluorescence, AES, NIR, IR, Raman, NMR, MS, etc. More generally, any data that is recorded over a discretized variable, e.g. absorbance = f (wavelength), stored as a vector of absorbance values for discrete wavelengths is suitable.
Author: Claudia Beleites [aut, cre, dtc], Valter Sergo [aut], Alois Bonifacio [ctb, dtc], Marcel Dahms [ctb], Björn Egert [ctb], Simon Fuller [ctb], Vilmantas Gegzna [ctb], Rustam Guliev [ctb], Bryan Hanson [ctb], Michael Hermes [ctb], Martin Kammer [dtc], Roman Kiselev [ctb], Sebastian Mellor [ctb]
Maintainer: Claudia Beleites <Claudia.Beleites@chemometrix.gmbh>

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Package huge updated to version 1.3.4.1 with previous version 1.3.4 dated 2019-10-28

Title: High-Dimensional Undirected Graph Estimation
Description: Provides a general framework for high-dimensional undirected graph estimation. It integrates data preprocessing, neighborhood screening, graph estimation, and model selection techniques into a pipeline. In preprocessing stage, the nonparanormal(npn) transformation is applied to help relax the normality assumption. In the graph estimation stage, the graph structure is estimated by Meinshausen-Buhlmann graph estimation or the graphical lasso, and both methods can be further accelerated by the lossy screening rule preselecting the neighborhood of each variable by correlation thresholding. We target on high-dimensional data analysis usually d >> n, and the computation is memory-optimized using the sparse matrix output. We also provide a computationally efficient approach, correlation thresholding graph estimation. Three regularization/thresholding parameter selection methods are included in this package: (1)stability approach for regularization selection (2) rotation information criterion (3) extended Bayesian information criterion which is only available for the graphical lasso.
Author: Haoming Jiang, Xinyu Fei, Han Liu, Kathryn Roeder, John Lafferty, Larry Wasserman, Xingguo Li, and Tuo Zhao
Maintainer: Haoming Jiang <jianghm.ustc@gmail.com>

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Package HDoutliers updated to version 1.0.1 with previous version 1.0 dated 2018-02-11

Title: Leland Wilkinson's Algorithm for Detecting Multidimensional Outliers
Description: An implementation of an algorithm for outlier detection that can handle a) data with a mixed categorical and continuous variables, b) many columns of data, c) many rows of data, d) outliers that mask other outliers, and e) both unidimensional and multidimensional datasets. Unlike ad hoc methods found in many machine learning papers, HDoutliers is based on a distributional model that uses probabilities to determine outliers. See <https://www.cs.uic.edu/~wilkinson/Publications/outliers.pdf>.
Author: Chris Fraley [aut, cre], Leland Wilkinson [ctb]
Maintainer: Chris Fraley <cfraley@tableau.com>

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Package FRK updated to version 0.2.2.1 with previous version 0.2.2 dated 2018-07-13

Title: Fixed Rank Kriging
Description: Fixed Rank Kriging is a tool for spatial/spatio-temporal modelling and prediction with large datasets. The approach, discussed in Cressie and Johannesson (2008) <DOI:10.1111/j.1467-9868.2007.00633.x>, decomposes the field, and hence the covariance function, using a fixed set of n basis functions, where n is typically much smaller than the number of data points (or polygons) m. The method naturally allows for non-stationary, anisotropic covariance functions and the use of observations with varying support (with known error variance). The projected field is a key building block of the Spatial Random Effects (SRE) model, on which this package is based. The package FRK provides helper functions to model, fit, and predict using an SRE with relative ease.
Author: Andrew Zammit-Mangion [aut, cre]
Maintainer: Andrew Zammit-Mangion <andrewzm@gmail.com>

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Tue, 31 Mar 2020

Package RISCA updated to version 0.8.1 with previous version 0.8 dated 2019-08-05

Title: Causal Inference and Prediction in Cohort-Based Analyses
Description: We propose numerous functions for cohort-based analyses, either for prediction or causal inference. For causal inference, it includes Inverse Probability Weighting and G-computation for marginal estimation of an exposure effect when confounders are expected. We deal with binary outcomes, times-to-events (Le Borgne, 2016, <doi:10.1002/sim.6777>), competing events (Trebern-Launay, 2018, <doi: 10.1007/s10654-017-0322-3>), and multi-state data (Gillaizeau, 2018, <doi: 10.1002/sim.7550>). For multistate data, semi-Markov model with interval censoring (Foucher, 2008, <doi: 10.1177/0962280208093889>) may be considered and we propose the possibility to consider the excess of mortality related to the disease compared to reference lifetime tables (Gillaizeau, 2017, <doi: 10.1177/0962280215586456>). For predictive studies, we propose a set of functions to estimate time-dependent receiver operating characteristic (ROC) curves with the possible consideration of right-censoring times-to-events or the presence of confounders (Le Borgne, 2018, <doi: 10.1177/0962280217702416>). Finally, several functions are available to assess time-dependent ROC curves (Combescure, 2017, <doi: 10.1177/0962280212464542>) or survival curves (Combescure, 2014, <doi: 10.1002/sim.6111>) from aggregated data.
Author: Yohann Foucher [aut, cre] (<https://orcid.org/0000-0003-0330-7457>), Florent Le Borgne [aut], Etienne Dantan [aut], Florence Gillaizeau [aut], Arthur Chatton [aut], Christophe Combescure [aut]
Maintainer: Yohann Foucher <Yohann.Foucher@univ-nantes.fr>

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Package ZIPFA updated to version 0.8.1 with previous version 0.8.0 dated 2019-10-25

Title: Zero Inflated Poisson Factor Analysis
Description: Estimation methods for zero-inflated Poisson factor analysis (ZIPFA) on sparse data. It provides estimates of coefficients in a new type of zero-inflated regression. It provides a cross-validation method to determine the potential rank of the data in the ZIPFA and conducts zero-inflated Poisson factor analysis based on the determined rank.
Author: Tianchen Xu [aut, cre] (<https://orcid.org/0000-0002-0102-7630>), Ryan T. Demmer [aut], Gen Li [aut]
Maintainer: Tianchen Xu <tx2155@columbia.edu>

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Package xpectr updated to version 0.3.0 with previous version 0.2.0 dated 2020-03-15

Title: Generates Expectations for 'testthat' Unit Testing
Description: Helps systematize and ease the process of building unit tests with the 'testthat' package by providing tools for generating expectations.
Author: Ludvig Renbo Olsen [aut, cre], R. Mark Sharp [ctb]
Maintainer: Ludvig Renbo Olsen <r-pkgs@ludvigolsen.dk>

Diff between xpectr versions 0.2.0 dated 2020-03-15 and 0.3.0 dated 2020-03-31

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Package otuSummary updated to version 0.1.1 with previous version 0.1.0 dated 2018-06-19

Title: Summarizing OTU Table Regarding the Composition, Abundance and Beta Diversity of Abundant and Rare Biospheres
Description: Summarizes the taxonomic composition, diversity contribution of the rare and abundant community by using OTU (operational taxonomic unit) table which was generated by analyzing pipeline of 'QIIME' or 'mothur'. The rare biosphere in this package is subset by the relative abundance threshold (for details about rare biosphere please see Lynch and Neufeld (2015) <doi:10.1038/nrmicro3400>).
Author: Sizhong Yang
Maintainer: Sizhong Yang <yanglzu@163.com>

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Package flacco updated to version 1.8 with previous version 1.7 dated 2017-06-14

Title: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems
Description: Tools and features for "Exploratory Landscape Analysis (ELA)" of single-objective continuous optimization problems. Those features are able to quantify rather complex properties, such as the global structure, separability, etc., of the optimization problems.
Author: Pascal Kerschke [aut, cre], Christian Hanster [ctb], Jan Dagefoerde [ctb]
Maintainer: Pascal Kerschke <kerschke@uni-muenster.de>

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Package rsample updated to version 0.0.6 with previous version 0.0.5 dated 2019-07-12

Title: General Resampling Infrastructure
Description: Classes and functions to create and summarize different types of resampling objects (e.g. bootstrap, cross-validation).
Author: Max Kuhn [aut, cre], Fanny Chow [aut], Hadley Wickham [aut], RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

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Package gemtc updated to version 0.8-4 with previous version 0.8-2 dated 2016-12-23

Title: Network Meta-Analysis Using Bayesian Methods
Description: Network meta-analyses (mixed treatment comparisons) in the Bayesian framework using JAGS. Includes methods to assess heterogeneity and inconsistency, and a number of standard visualizations.
Author: Gert van Valkenhoef, Joel Kuiper
Maintainer: Gert van Valkenhoef <gert@gertvv.nl>

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Package SDraw updated to version 2.1.11 with previous version 2.1.8 dated 2019-03-07

Title: Spatially Balanced Samples of Spatial Objects
Description: Routines for drawing samples from spatial objects, focused on spatially balanced algorithms. Draws Halton Iterative Partition (HIP) (Robertson et al., 2018; <doi:10.1007/s10651-018-0406-6>), Balanced Acceptance Samples (BAS) (Robertson et al., 2013; <doi:10.1111/biom.12059>), Generalized Random Tessellation Stratified (GRTS) (Stevens and Olsen, 2004; <doi:10.1198/016214504000000250>), Simple Systematic Samples (SSS) and Simple Random Samples (SRS) from point, line, and polygon resources. Frames are 'SpatialPoints', 'SpatialLines', or 'SpatialPolygons' objects from package 'sp'.
Author: Trent McDonald [cre, aut], Aidan McDonald [aut] (HIP sampling methods), Michael Kleinsausser [ctb], Stefan Emmons [ctb] (Auto testing and Travis)
Maintainer: Trent McDonald <tmcdonald@west-inc.com>

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Package admisc updated to version 0.7 with previous version 0.6 dated 2020-03-10

Title: Adrian Dusa's Miscellaneous
Description: Contains functions used across packages 'QCA', 'DDIwR', and 'venn'. Interprets and translates SOP - Sum of Products expressions, for both binary and multi-value crisp sets, and extracts information (set names, set values) from those expressions. Other functions perform various other checks if possibly numeric (even if all numbers reside in a character vector) and coerce to numeric, or check if the numbers are whole. It also offers, among others, a highly flexible recoding routine. Some functions need specific functionality from package QCA, but since that package depends on this one, admisc cannot automatically load it due to circular dependency.
Author: Adrian Dusa [aut, cre, cph]
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

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Package simstudy updated to version 0.1.16 with previous version 0.1.15 dated 2019-10-16

Title: Simulation of Study Data
Description: Simulates data sets in order to explore modeling techniques or better understand data generating processes. The user specifies a set of relationships between covariates, and generates data based on these specifications. The final data sets can represent data from randomized control trials, repeated measure (longitudinal) designs, and cluster randomized trials. Missingness can be generated using various mechanisms (MCAR, MAR, NMAR).
Author: Keith Goldfeld [aut, cre]
Maintainer: Keith Goldfeld <Keith.Goldfeld@nyumc.org>

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Package GWASinspector updated to version 1.4.6.7 with previous version 1.4.6 dated 2020-03-23

Title: Comprehensive and Easy to Use Quality Control of GWAS Results
Description: When evaluating the results of a genome-wide association study (GWAS), it is important to perform a quality control to ensure that the results are valid, complete, correctly formatted, and, in case of meta-analysis, consistent with other studies that have applied the same analysis. This package was developed to facilitate and streamline this process and provide the user with a comprehensive report.
Author: Alireza Ani [aut, cre], Peter J. van der Most [aut], Ahmad Vaez [aut], Ilja M. Nolte [aut]
Maintainer: Alireza Ani <a.ani@umcg.nl>

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More information about GWASinspector at CRAN
Permanent link

Package stormwindmodel (with last version 0.1.2) was removed from CRAN

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

2020-01-09 0.1.2
2018-10-15 0.1.1
2017-01-09 0.1.0

Permanent link
Package cutpointr (with last version 1.0.1) was removed from CRAN

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

2019-12-18 1.0.1
2019-09-17 1.0.0
2019-03-27 0.7.6
2018-08-31 0.7.4
2018-04-13 0.7.3
2018-03-21 0.7.2

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Package starmie (with last version 0.1.2) was removed from CRAN

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

2016-11-07 0.1.2

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New package impressionist.colors with initial version 1.0
Package: impressionist.colors
Type: Package
Title: Impressionism's Color Palettes
Version: 1.0
Author: Federico Casale
Maintainer: Federico Casale <casale@hhu.de>
Description: Provides color palettes from Impressionism and post-Impressionism artworks. This package allows to select colors combinations while looking at the original paintings where colors were sampled from.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: graphics
NeedsCompilation: no
Packaged: 2020-03-31 15:27:54 UTC; qggadmin
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2020-03-31 16:20:02 UTC

More information about impressionist.colors at CRAN
Permanent link

New package COVID19 with initial version 0.2.1
Package: COVID19
Type: Package
Title: Coronavirus COVID-19 (2019-nCoV) Data Acquisition and Visualization
Version: 0.2.1
Authors@R: person(given = "Emanuele", family = "Guidotti", email = "emanuele.guidotti@unine.ch", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-8961-6623"))
Description: Pre-processed, ready-to-use, tidy format datasets of the 2019 Novel Coronavirus COVID-19 (2019-nCoV) epidemic. The latest data are downloaded in real-time, processed and merged with demographic indicators from several trusted sources. The package implements advanced data visualization across the space and time dimensions by means of animated mapping. Besides worldwide data, the package includes granular data for Italy, Switzerland and the Diamond Princess.
License: GPL-3
URL: https://github.com/emanuele-guidotti/COVID19
BugReports: https://github.com/emanuele-guidotti/COVID19/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: devtools, utils, reshape2, dplyr, tidyr, sp, rgdal, ggplot2, gganimate, ggthemes
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-03-27 23:31:30 UTC; Emanuele
Author: Emanuele Guidotti [aut, cre] (<https://orcid.org/0000-0002-8961-6623>)
Maintainer: Emanuele Guidotti <emanuele.guidotti@unine.ch>
Repository: CRAN
Date/Publication: 2020-03-31 16:30:02 UTC

More information about COVID19 at CRAN
Permanent link

Package BoomSpikeSlab updated to version 1.2.2 with previous version 1.2.1 dated 2019-09-04

Title: MCMC for Spike and Slab Regression
Description: Spike and slab regression with a variety of residual error distributions corresponding to Gaussian, Student T, probit, logit, SVM, and a few others. Spike and slab regression is Bayesian regression with prior distributions containing a point mass at zero. The posterior updates the amount of mass on this point, leading to a posterior distribution that is actually sparse, in the sense that if you sample from it many coefficients are actually zeros. Sampling from this posterior distribution is an elegant way to handle Bayesian variable selection and model averaging. See <DOI:10.1504/IJMMNO.2014.059942> for an explanation of the Gaussian case.
Author: Steven L. Scott <steve.the.bayesian@gmail.com>
Maintainer: Steven L. Scott <steve.the.bayesian@gmail.com>

Diff between BoomSpikeSlab versions 1.2.1 dated 2019-09-04 and 1.2.2 dated 2020-03-31

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More information about BoomSpikeSlab at CRAN
Permanent link

Package baytrends updated to version 1.2.1 with previous version 1.1.0 dated 2019-03-14

Title: Long Term Water Quality Trend Analysis
Description: Enable users to evaluate long-term trends using a Generalized Additive Modeling (GAM) approach. The model development includes selecting a GAM structure to describe nonlinear seasonally-varying changes over time, incorporation of hydrologic variability via either a river flow or salinity, the use of an intervention to deal with method or laboratory changes suspected to impact data values, and representation of left- and interval-censored data. The approach has been applied to water quality data in the Chesapeake Bay, a major estuary on the east coast of the United States to provide insights to a range of management- and research-focused questions.
Author: Rebecca Murphy, Elgin Perry, Jennifer Keisman, Jon Harcum, Erik W Leppo
Maintainer: Erik Leppo <Erik.Leppo@tetratech.com>

Diff between baytrends versions 1.1.0 dated 2019-03-14 and 1.2.1 dated 2020-03-31

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 baytrends-1.2.1/baytrends/NAMESPACE                                                             |   12 
 baytrends-1.2.1/baytrends/NEWS                                                                  |  349 +++++---
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 baytrends-1.2.1/baytrends/R/closeOut.R                                                          |   13 
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 baytrends-1.2.1/baytrends/R/expectMaxFunctions.r                                                |    1 
 baytrends-1.2.1/baytrends/R/findFile.R                                                          |    5 
 baytrends-1.2.1/baytrends/R/gamPlotCalc.r                                                       |    2 
 baytrends-1.2.1/baytrends/R/gamPlotDisp.R                                                       |    4 
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 baytrends-1.2.1/baytrends/R/qw.export.R                                                         |    4 
 baytrends-1.2.1/baytrends/R/qw.import.R                                                         |    8 
 baytrends-1.2.1/baytrends/R/saveDF.R                                                            |   32 
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 baytrends-1.2.1/baytrends/R/smwrBase_isLike.R                                                   |   37 
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 baytrends-1.2.1/baytrends/R/smwrGraphs_xyPlot.R                                                 |   12 
 baytrends-1.2.1/baytrends/R/smwrQW_x_dlimit.R                                                   |    2 
 baytrends-1.2.1/baytrends/R/smwrQW_x_importQW.R                                                 |    2 
 baytrends-1.2.1/baytrends/R/smwrQW_x_readNWQLdl.R                                               |    3 
 baytrends-1.2.1/baytrends/R/sysdata.rda                                                         |binary
 baytrends-1.2.1/baytrends/R/zzz.R                                                               |    2 
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 baytrends-1.2.1/baytrends/man/as.mcens.Rd                                                       |  169 +--
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More information about baytrends at CRAN
Permanent link

Package vcr updated to version 0.5.4 with previous version 0.5.0 dated 2020-03-03

Title: Record 'HTTP' Calls to Disk
Description: Record test suite 'HTTP' requests and replays them during future runs. A port of the Ruby gem of the same name (<https://github.com/vcr/vcr/>). Works by hooking into the 'webmockr' R package for matching 'HTTP' requests by various rules ('HTTP' method, 'URL', query parameters, headers, body, etc.), and then caching real 'HTTP' responses on disk in 'cassettes'. Subsequent 'HTTP' requests matching any previous requests in the same 'cassette' use a cached 'HTTP' response.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Aaron Wolen [ctb] (<https://orcid.org/0000-0003-2542-2202>)
Maintainer: Scott Chamberlain <sckott@protonmail.com>

Diff between vcr versions 0.5.0 dated 2020-03-03 and 0.5.4 dated 2020-03-31

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Permanent link

New package statnipokladna with initial version 0.5.6
Package: statnipokladna
Title: Use Data from the Czech Public Finance Database
Version: 0.5.6
Authors@R: person(given = "Petr", family = "Bouchal", role = c("aut", "cre"), email = "pbouchal@gmail.com", comment = c(ORCID = "0000-0002-0471-716X"))
Description: Get programmatic access to data from the Czech public budgeting and accounting database, Státní pokladna <https://monitor.statnipokladna.cz/>.
License: MIT + file LICENSE
URL: https://github.com/petrbouchal/statnipokladna
BugReports: https://github.com/petrbouchal/statnipokladna/issues
Depends: R (>= 3.5.0)
Imports: curl (>= 4.3), dplyr (>= 0.8.3), httr (>= 1.4.1), jsonlite, lifecycle, lubridate (>= 1.7.4), magrittr, purrr (>= 0.3.2), readr (>= 1.3.1), rlang (>= 0.4.0), stringi (>= 1.4.3), stringr (>= 1.4.0), tibble (>= 2.1.3), tidyr (>= 1.0.0), usethis (>= 1.5.1), utils (>= 3.6.0), xml2 (>= 1.2.2)
Suggests: knitr, rmarkdown, testthat (>= 2.1.0)
VignetteBuilder: knitr
RdMacros: lifecycle
Encoding: UTF-8
Language: en
LazyData: true
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-03-31 14:18:43 UTC; petr
Author: Petr Bouchal [aut, cre] (<https://orcid.org/0000-0002-0471-716X>)
Maintainer: Petr Bouchal <pbouchal@gmail.com>
Repository: CRAN
Date/Publication: 2020-03-31 15:10:02 UTC

More information about statnipokladna at CRAN
Permanent link

Package RRphylo updated to version 2.4.4 with previous version 2.4.0 dated 2020-01-16

Title: Phylogenetic Ridge Regression Methods for Comparative Studies
Description: Functions for phylogenetic analysis (Castiglione et al, 2018 <doi:10.1111/2041-210X.12954>). The functions perform the estimation of phenotypic evolutionary rates, identification of phenotypic evolutionary rate shifts, quantification of direction and size of evolutionary change in multivariate traits, the computation of ontogenetic shape vectors and test for morphological convergence.
Author: Pasquale Raia, Silvia Castiglione, Carmela Serio, Alessandro Mondanaro, Marina Melchionna, Mirko Di Febbraro, Antonio Profico, Francesco Carotenuto
Maintainer: Pasquale Raia <pasquale.raia@unina.it>

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More information about RRphylo at CRAN
Permanent link

Package quantmod updated to version 0.4.17 with previous version 0.4-16 dated 2020-03-08

Title: Quantitative Financial Modelling Framework
Description: Specify, build, trade, and analyse quantitative financial trading strategies.
Author: Jeffrey A. Ryan [aut, cph], Joshua M. Ulrich [cre, aut], Wouter Thielen [ctb], Paul Teetor [ctb], Steve Bronder [ctb]
Maintainer: Joshua M. Ulrich <josh.m.ulrich@gmail.com>

Diff between quantmod versions 0.4-16 dated 2020-03-08 and 0.4.17 dated 2020-03-31

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More information about quantmod at CRAN
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Package promotionImpact updated to version 0.1.3 with previous version 0.1.2 dated 2019-06-05

Title: Analysis & Measurement of Promotion Effectiveness
Description: Analysis and measurement of promotion effectiveness on a given target variable (e.g. daily sales). After converting promotion schedule into dummy or smoothed predictor variables, the package estimates the effects of these variables controlled for trend/periodicity/structural change using prophet by Taylor and Letham (2017) <doi:10.7287/peerj.preprints.3190v2> and some prespecified variables (e.g. start of a month).
Author: Nahyun Kim [cre, aut], Hyemin Um [aut], Eunjo Lee [aut], NCSOFT Corporation [cph]
Maintainer: Nahyun Kim <nhkim1302@ncsoft.com>

Diff between promotionImpact versions 0.1.2 dated 2019-06-05 and 0.1.3 dated 2020-03-31

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More information about promotionImpact at CRAN
Permanent link

Package paws updated to version 0.1.7 with previous version 0.1.6 dated 2020-01-15

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 0.1.6 dated 2020-01-15 and 0.1.7 dated 2020-03-31

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More information about paws at CRAN
Permanent link

Package packagefinder updated to version 0.2.1 with previous version 0.2.0 dated 2020-03-16

Title: Comfortable Search for R Packages on CRAN Directly from the R Console
Description: Search for R packages on CRAN directly from the R console, based on the packages' titles, short and long descriptions, or other fields. Combine multiple keywords with logical operators ('and', 'or'), view detailed information on any package and keep track of the latest package contributions to CRAN.
Author: Joachim Zuckarelli [aut, cre] (<https://orcid.org/0000-0002-9280-3016>)
Maintainer: Joachim Zuckarelli <joachim@zuckarelli.de>

Diff between packagefinder versions 0.2.0 dated 2020-03-16 and 0.2.1 dated 2020-03-31

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More information about packagefinder at CRAN
Permanent link

Package MEDseq updated to version 1.1.0 with previous version 1.0.1 dated 2019-12-10

Title: Mixtures of Exponential-Distance Models with Covariates
Description: Implements a model-based clustering method for categorical life-course sequences relying on mixtures of exponential-distance models introduced by Murphy et al. (2019) <arXiv:1908.07963>. A range of flexible precision parameter settings corresponding to weighted generalisations of the Hamming distance metric are considered, along with the potential inclusion of a noise component. Gating covariates can be supplied in order to relate sequences to baseline characteristics. Sampling weights are also accommodated. The models are fitted using the EM algorithm and tools for visualising the results are also provided.
Author: Keefe Murphy [aut, cre] (<https://orcid.org/0000-0002-7709-3159>), Thomas Brendan Murphy [ctb] (<https://orcid.org/0000-0002-5668-7046>), Raffaella Piccarreta [ctb], Isobel Claire Gormley [ctb]
Maintainer: Keefe Murphy <keefe.murphy@ucd.ie>

Diff between MEDseq versions 1.0.1 dated 2019-12-10 and 1.1.0 dated 2020-03-31

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Package CUB updated to version 1.1.4 with previous version 1.1.3 dated 2018-11-27

Title: A Class of Mixture Models for Ordinal Data
Description: For ordinal rating data, estimate and test models within the family of CUB models and their extensions (where CUB stands for Combination of a discrete Uniform and a shifted Binomial distributions). Simulation routines, plotting facilities and fitting measures are also provided.
Author: Maria Iannario <maria.iannario@unina.it>, Domenico Piccolo <domenico.piccolo@unina.it>, Rosaria Simone <rosaria.simone@unina.it>
Maintainer: Rosaria Simone <rosaria.simone@unina.it>

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 man/coef.GEM.Rd                |   52 ++--
 man/cormat.Rd                  |   48 +--
 man/cub00.Rd                   |   76 ++---
 man/cub0q.Rd                   |  110 ++------
 man/cube000.Rd                 |  101 ++-----
 man/cubecov.Rd                 |   80 +++---
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 man/logscore.Rd                |  100 +++----
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 man/parnames.Rd                |   48 +--
 man/plotloglikihg.Rd           |   50 +--
 man/print.GEM.Rd               |   42 +--
 man/probbit.Rd                 |   60 ++--
 man/probcub00.Rd               |   74 ++---
 man/probcub0q.Rd               |  110 ++++----
 man/probcube.Rd                |   80 +++---
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 man/probcush.Rd                |   74 ++---
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 138 files changed, 5553 insertions(+), 6092 deletions(-)

More information about CUB at CRAN
Permanent link

New package aniview with initial version 0.1.0
Package: aniview
Title: Animate Shiny and R Markdown Content when it Comes into View
Version: 0.1.0
Authors@R: c(person(given = "Félix", family = "Luginbuhl", role = c("aut", "cre"), email = "felix.luginbuhl@protonmail.ch") )
Description: Animate Shiny and R Markdown content when it comes into view using 'animate-css' effects thanks to 'jQuery AniView'.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: jsonlite, htmltools
Suggests: shiny
URL: https://felixluginbuhl.com/aniview, https://github.com/lgnbhl/aniview
BugReports: https://github.com/lgnbhl/aniview/issues
NeedsCompilation: no
Packaged: 2020-03-31 13:54:51 UTC; Felix
Author: Félix Luginbuhl [aut, cre]
Maintainer: Félix Luginbuhl <felix.luginbuhl@protonmail.ch>
Repository: CRAN
Date/Publication: 2020-03-31 15:20:07 UTC

More information about aniview at CRAN
Permanent link

Package Spbsampling updated to version 1.3.3 with previous version 1.3.2 dated 2020-03-04

Title: Spatially Balanced Sampling
Description: Selection of spatially balanced samples. In particular, the implemented sampling designs allow to select probability samples well spread over the population of interest, in any dimension and using any distance function (e.g. Euclidean distance, Manhattan distance). For more details, Benedetti R and Piersimoni F (2017) <doi:10.1002/bimj.201600194> and Benedetti R and Piersimoni F (2017) <arXiv:1710.09116>. The implementation has been done in C++ through the use of 'Rcpp' and 'RcppArmadillo'.
Author: Francesco Pantalone [aut, cre], Roberto Benedetti [aut], Federica Piersimoni [aut]
Maintainer: Francesco Pantalone <pantalone.fra@gmail.com>

Diff between Spbsampling versions 1.3.2 dated 2020-03-04 and 1.3.3 dated 2020-03-31

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 MD5             |   14 +++++++-------
 NEWS.md         |    4 ++++
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 man/sbi.Rd      |    4 ++--
 man/swd.Rd      |    4 ++--
 src/sbi.cpp     |    4 ++--
 src/swd.cpp     |    4 ++--
 8 files changed, 26 insertions(+), 22 deletions(-)

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Permanent link

New package zcurve with initial version 1.0.0
Package: zcurve
Title: An Implementation of Z-Curves
Version: 1.0.0
Authors@R: c( person("František", "Bartoš", email = "f.bartos96@gmail.com", role = c("aut", "cre")), person("Ulrich", "Schimmack", email = "ulrich.schimmack@utoronto.ca", role = c("aut")))
Maintainer: František Bartoš <f.bartos96@gmail.com>
Description: An implementation of z-curves - a method for estimating expected discovery and replicability rates on the bases of test-statistics of published studies. The package provides functions for fitting the new density and EM version (Bartoš & Schimmack, 2020, <doi:10.31234/osf.io/urgtn>) as well as the original density z-curve (Brunner & Schimmack, 2017, <doi:10.31219/osf.io/wr93f>). Furthermore, the package provides summarizing and plotting functions for the fitted z-curve objects. See the aforementioned articles for more information about the z-curves, expected discovery and replicability rates, validation studies, and limitations.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Imports: Rcpp (>= 1.0.2), nleqslv, stats, evmix, graphics, Rdpack
LinkingTo: Rcpp
Suggests: spelling
Language: en-US
RdMacros: Rdpack
NeedsCompilation: yes
Packaged: 2020-03-31 14:18:19 UTC; Frantisek
Author: František Bartoš [aut, cre], Ulrich Schimmack [aut]
Repository: CRAN
Date/Publication: 2020-03-31 15:00:02 UTC

More information about zcurve at CRAN
Permanent link

New package simhelpers with initial version 0.1.0
Package: simhelpers
Type: Package
Title: Helper Functions for Simulation Studies
Version: 0.1.0
Authors@R: c( person(given = "Megha", family = "Joshi", email = "megha.j456@gmail.com", role = c("aut", "cre")), person(given = "James", family = "Pustejovsky", email = "jepusto@gmail.com", role = c("aut"), comment = c(ORCID = "0000-0003-0591-9465")))
Maintainer: Megha Joshi <megha.j456@gmail.com>
Description: Calculates performance criteria measures and associated Monte Carlo standard errors for simulation results. Includes functions to help run simulation studies. Our derivation and explanation of formulas and our general simulation workflow is closely aligned with the approach described by Morris, White, and Crowther (2019) <DOI: 10.1002/sim.8086>.
URL: https://meghapsimatrix.github.io/simhelpers/index.html
BugReports: https://github.com/meghapsimatrix/simhelpers/issues
Depends: R (>= 2.10)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
SystemRequirements: RStudio
Imports: rlang, stats, dplyr, furrr, future, magrittr, utils, purrr, tibble, rstudioapi, Rdpack, tidyr
Suggests: plyr, knitr, rmarkdown, pkgdown, covr, testthat, kableExtra, ggplot2, broom
RdMacros: Rdpack
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-03-31 14:04:42 UTC; meghajoshi
Author: Megha Joshi [aut, cre], James Pustejovsky [aut] (<https://orcid.org/0000-0003-0591-9465>)
Repository: CRAN
Date/Publication: 2020-03-31 15:00:06 UTC

More information about simhelpers at CRAN
Permanent link

Package sigminer updated to version 1.0.0 with previous version 0.1.11 dated 2019-05-07

Title: Extract, Analyze and Visualize Signatures for Genomic Variations
Description: Genomic alterations including single nucleotide substitution, copy number alteration, etc. are the major force for cancer initialization and development. Due to the specificity of molecular lesions caused by genomic alterations, we can generate characteristic alteration spectra, called 'signature' (Alexandrov, Ludmil B., et al. (2020) <DOI:10.1038/s41586-020-1943-3> & Macintyre, Geoff, et al. (2018) <DOI:10.1038/s41588-018-0179-8>). This package helps users to extract, analyze and visualize signatures from genomic alteration records, thus providing new insight into cancer study.
Author: Shixiang Wang [aut, cre] (<https://orcid.org/0000-0001-9855-7357>), Xue-Song Liu [aut, ctb] (<https://orcid.org/0000-0002-7736-0077>), Geoffrey Macintyre [ctb], Anand Mayakonda [ctb]
Maintainer: Shixiang Wang <w_shixiang@163.com>

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Package powdR updated to version 1.2.0 with previous version 1.1.0 dated 2020-01-10

Title: Full Pattern Summation of X-Ray Powder Diffraction Data
Description: Full pattern summation of X-ray powder diffraction data as described in Chipera and Bish (2002) <doi:10.1107/S0021889802017405>. Derives quantitative estimates of crystalline and amorphous phase concentrations in complex mixtures.
Author: Benjamin Butler [aut, cre], Stephen Hillier [aut], Dylan Beaudette [ctb], Dennis Eberl [ctb]
Maintainer: Benjamin Butler <benjamin.butler@hutton.ac.uk>

Diff between powdR versions 1.1.0 dated 2020-01-10 and 1.2.0 dated 2020-03-31

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Package getspres updated to version 0.1.1 with previous version 0.1.0 dated 2019-08-28

Title: SPRE Statistics for Exploring Heterogeneity in Meta-Analysis
Description: An implementation of SPRE (standardised predicted random-effects) statistics in R to explore heterogeneity in genetic association meta- analyses, as described by Magosi et al. (2019) <doi:10.1093/bioinformatics/btz590>. SPRE statistics are precision weighted residuals that indicate the direction and extent with which individual study-effects in a meta-analysis deviate from the average genetic effect. Overly influential positive outliers have the potential to inflate average genetic effects in a meta-analysis whilst negative outliers might lower or change the direction of effect. See the 'getspres' website for documentation and examples <https://magosil86.github.io/getspres/>.
Author: Lerato E Magosi [aut], Jemma C Hopewell [aut], Martin Farrall [aut], Lerato E Magosi [cre]
Maintainer: Lerato E Magosi <magosil86@gmail.com>

Diff between getspres versions 0.1.0 dated 2019-08-28 and 0.1.1 dated 2020-03-31

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Package fs updated to version 1.4.0 with previous version 1.3.2 dated 2020-03-05

Title: Cross-Platform File System Operations Based on 'libuv'
Description: A cross-platform interface to file system operations, built on top of the 'libuv' C library.
Author: Jim Hester [aut, cre], Hadley Wickham [aut], libuv project contributors [cph] (libuv library), Joyent, Inc. and other Node contributors [cph] (libuv library), RStudio [cph, fnd]
Maintainer: Jim Hester <james.f.hester@gmail.com>

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Package forecast updated to version 8.12 with previous version 8.11 dated 2020-02-09

Title: Forecasting Functions for Time Series and Linear Models
Description: Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling.
Author: Rob Hyndman [aut, cre, cph] (<https://orcid.org/0000-0002-2140-5352>), George Athanasopoulos [aut], Christoph Bergmeir [aut] (<https://orcid.org/0000-0002-3665-9021>), Gabriel Caceres [aut], Leanne Chhay [aut], Mitchell O'Hara-Wild [aut] (<https://orcid.org/0000-0001-6729-7695>), Fotios Petropoulos [aut] (<https://orcid.org/0000-0003-3039-4955>), Slava Razbash [aut], Earo Wang [aut], Farah Yasmeen [aut] (<https://orcid.org/0000-0002-1479-5401>), R Core Team [ctb, cph], Ross Ihaka [ctb, cph], Daniel Reid [ctb], David Shaub [ctb], Yuan Tang [ctb] (<https://orcid.org/0000-0001-5243-233X>), Zhenyu Zhou [ctb]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>

Diff between forecast versions 8.11 dated 2020-02-09 and 8.12 dated 2020-03-31

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Package biogram updated to version 1.6.3 with previous version 1.6.1 dated 2020-01-08

Title: N-Gram Analysis of Biological Sequences
Description: Tools for extraction and analysis of various n-grams (k-mers) derived from biological sequences (proteins or nucleic acids). Contains QuiPT (quick permutation test) for fast feature-filtering of the n-gram data.
Author: Michal Burdukiewicz [cre, aut] (<https://orcid.org/0000-0001-8926-582X>), Piotr Sobczyk [aut], Chris Lauber [aut], Dominik Rafacz [aut], Katarzyna Sidorczuk [ctb] (<https://orcid.org/0000-0001-6576-9054>)
Maintainer: Michal Burdukiewicz <michalburdukiewicz@gmail.com>

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Package bcmixed updated to version 0.1.4 with previous version 0.1.3 dated 2020-03-02

Title: Mixed Effect Model with the Box-Cox Transformation
Description: Inference on the marginal model of the mixed effect model with the Box-Cox transformation and on the model median differences between treatment groups for longitudinal randomized clinical trials. These statistical methods are proposed by Maruo et al. (2017) <doi:10.1002/sim.7279>.
Author: Kazushi Maruo [aut, cre], Ryota Ishii [aut], Yusuke Yamaguchi [ctb], Masahiko Gosho [ctb]
Maintainer: Kazushi Maruo <kazushi.maruo@gmail.com>

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New package sqp with initial version 0.5
Package: sqp
Type: Package
Title: (Sequential) Quadratic Programming
Version: 0.5
Date: 2020-03-25
Author: Simon Lenau
Maintainer: Simon Lenau <lenau@uni-trier.de>
Description: Solving procedures for quadratic programming with optional equality and inequality constraints, which can be used for by sequential quadratic programming (SQP). Similar to Newton-Raphson methods in the unconstrained case, sequential quadratic programming solves non-linear constrained optimization problems by iteratively solving linear approximations of the optimality conditions of such a problem (cf. Powell (1978) <doi:10.1007/BFb0067703>; Nocedal and Wright (1999, ISBN: 978-0-387-98793-4)). The Hessian matrix in this strategy is commonly approximated by the BFGS method in its damped modification proposed by Powell (1978) <doi:10.1007/BFb0067703>. All methods are implemented in C++ as header-only library, such that it is easy to use in other packages.
License: GPL-3
Imports: Rcpp (>= 1.0.0), Matrix, Rdpack
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
SystemRequirements: C++11, GNU Make
NeedsCompilation: yes
Packaged: 2020-03-31 11:08:34 UTC; Administrator
RdMacros: Rdpack
Encoding: UTF-8
RoxygenNote: 7.1.0
Repository: CRAN
Date/Publication: 2020-03-31 13:20:02 UTC

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Package slga updated to version 1.1.1 with previous version 1.1.0 dated 2019-08-05

Title: Data Access Tools for the Soil and Landscape Grid of Australia
Description: Provides access to soil and landscape grid of Australia raster datasets via existing open geospatial consortium web coverage services. See <https://www.csiro.au/soil-and-landscape-grid>.
Author: Lauren O'Brien [aut, cre] (<https://orcid.org/0000-0002-7336-2171>), Ross Searle [ant] (<https://orcid.org/0000-0003-0256-1496>)
Maintainer: Lauren O'Brien <obrlsoilau@gmail.com>

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Package irace updated to version 3.4.1 with previous version 3.4 dated 2020-03-30

Title: Iterated Racing for Automatic Algorithm Configuration
Description: Iterated race is an extension of the Iterated F-race method for the automatic configuration of optimization algorithms, that is, (offline) tuning their parameters by finding the most appropriate settings given a set of instances of an optimization problem. M. López-Ibáñez, J. Dubois-Lacoste, L. Pérez Cáceres, T. Stützle, and M. Birattari (2016) <doi:10.1016/j.orp.2016.09.002>.
Author: Manuel López-Ibáñez [aut, cre] (<https://orcid.org/0000-0001-9974-1295>), Jérémie Dubois-Lacoste [aut], Leslie Pérez Cáceres [aut], Thomas Stützle [aut], Mauro Birattari [aut], Eric Yuan [ctb], Prasanna Balaprakash [ctb], Nguyen Dang [ctb]
Maintainer: Manuel López-Ibáñez <manuel.lopez-ibanez@manchester.ac.uk>

Diff between irace versions 3.4 dated 2020-03-30 and 3.4.1 dated 2020-03-31

 irace-3.4.1/irace/DESCRIPTION                             |   11 
 irace-3.4.1/irace/MD5                                     |   30 -
 irace-3.4.1/irace/NEWS.md                                 |only
 irace-3.4.1/irace/R/main.R                                |    4 
 irace-3.4.1/irace/R/parameterAnalysis.R                   |    2 
 irace-3.4.1/irace/R/version.R                             |    2 
 irace-3.4.1/irace/README.md                               |   26 -
 irace-3.4.1/irace/build/partial.rdb                       |binary
 irace-3.4.1/irace/inst/doc/irace-package.pdf              |binary
 irace-3.4.1/irace/src/Makevars                            |    4 
 irace-3.4.1/irace/src/Makevars.win                        |    4 
 irace-3.4.1/irace/tests/testthat/saved_maxim_bug.rds      |binary
 irace-3.4.1/irace/tests/testthat/saved_maxim_bug2.rds     |binary
 irace-3.4.1/irace/tests/testthat/test-GenericWrapper4AC.R |    5 
 irace-3.4.1/irace/tests/testthat/test-bugs.R              |   66 +--
 irace-3.4.1/irace/vignettes/NEWS.txt                      |  250 +++++++-------
 irace-3.4/irace/NEWS                                      |only
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Package gtools updated to version 3.8.2 with previous version 3.8.1 dated 2018-06-26

Title: Various R Programming Tools
Description: Functions to assist in R programming, including: - assist in developing, updating, and maintaining R and R packages ('ask', 'checkRVersion', 'getDependencies', 'keywords', 'scat'), - calculate the logit and inverse logit transformations ('logit', 'inv.logit'), - test if a value is missing, empty or contains only NA and NULL values ('invalid'), - manipulate R's .Last function ('addLast'), - define macros ('defmacro'), - detect odd and even integers ('odd', 'even'), - convert strings containing non-ASCII characters (like single quotes) to plain ASCII ('ASCIIfy'), - perform a binary search ('binsearch'), - sort strings containing both numeric and character components ('mixedsort'), - create a factor variable from the quantiles of a continuous variable ('quantcut'), - enumerate permutations and combinations ('combinations', 'permutation'), - calculate and convert between fold-change and log-ratio ('foldchange', 'logratio2foldchange', 'foldchange2logratio'), - calculate probabilities and generate random numbers from Dirichlet distributions ('rdirichlet', 'ddirichlet'), - apply a function over adjacent subsets of a vector ('running'), - modify the TCP\_NODELAY ('de-Nagle') flag for socket objects, - efficient 'rbind' of data frames, even if the column names don't match ('smartbind'), - generate significance stars from p-values ('stars.pval'), - convert characters to/from ASCII codes ('asc', 'chr'), - convert character vector to ASCII representation ('ASCIIfy').
Author: Gregory R. Warnes, Ben Bolker, and Thomas Lumley
Maintainer: Gregory R. Warnes <greg@warnes.net>

Diff between gtools versions 3.8.1 dated 2018-06-26 and 3.8.2 dated 2020-03-31

 gtools-3.8.1/gtools/R/RSCompat.S               |only
 gtools-3.8.1/gtools/R/newVersionAvailable.R    |only
 gtools-3.8.2/gtools/DESCRIPTION                |   11 +
 gtools-3.8.2/gtools/MD5                        |   86 ++++++-------
 gtools-3.8.2/gtools/NEWS                       |    5 
 gtools-3.8.2/gtools/R/combinations.R           |   29 ++--
 gtools-3.8.2/gtools/R/defmacro.R               |    8 -
 gtools-3.8.2/gtools/R/dirichlet.R              |    2 
 gtools-3.8.2/gtools/R/foldchange.R             |    2 
 gtools-3.8.2/gtools/R/invalid.R                |    2 
 gtools-3.8.2/gtools/R/logit.R                  |    4 
 gtools-3.8.2/gtools/R/oddeven.R                |    4 
 gtools-3.8.2/gtools/R/permute.R                |    2 
 gtools-3.8.2/gtools/R/quantcut.R               |   12 -
 gtools-3.8.2/gtools/R/running.R                |    2 
 gtools-3.8.2/gtools/R/scat.R                   |    3 
 gtools-3.8.2/gtools/inst                       |only
 gtools-3.8.2/gtools/man/ELISA.Rd               |    6 
 gtools-3.8.2/gtools/man/asc.Rd                 |    2 
 gtools-3.8.2/gtools/man/ask.Rd                 |    6 
 gtools-3.8.2/gtools/man/badDend.Rd             |    6 
 gtools-3.8.2/gtools/man/baseOf.Rd              |    2 
 gtools-3.8.2/gtools/man/checkRVersion.Rd       |    2 
 gtools-3.8.2/gtools/man/combinations.Rd        |    2 
 gtools-3.8.2/gtools/man/defmacro.Rd            |    2 
 gtools-3.8.2/gtools/man/dirichlet.Rd           |    5 
 gtools-3.8.2/gtools/man/foldchange.Rd          |    4 
 gtools-3.8.2/gtools/man/getDependencies.Rd     |  162 ++++++++++++-------------
 gtools-3.8.2/gtools/man/gtools-defunct.Rd      |    2 
 gtools-3.8.2/gtools/man/invalid.Rd             |    4 
 gtools-3.8.2/gtools/man/lastAdd.Rd             |    2 
 gtools-3.8.2/gtools/man/logit.Rd               |   12 -
 gtools-3.8.2/gtools/man/mixedsort.Rd           |    4 
 gtools-3.8.2/gtools/man/na.replace.Rd          |    4 
 gtools-3.8.2/gtools/man/oddeven.Rd             |    2 
 gtools-3.8.2/gtools/man/permute.Rd             |    2 
 gtools-3.8.2/gtools/man/quantcut.Rd            |    6 
 gtools-3.8.2/gtools/man/roman2int.Rd           |    2 
 gtools-3.8.2/gtools/man/running.Rd             |    4 
 gtools-3.8.2/gtools/man/scat.Rd                |    4 
 gtools-3.8.2/gtools/man/setTCPNoDelay.Rd       |    4 
 gtools-3.8.2/gtools/man/split_path.Rd          |    4 
 gtools-3.8.2/gtools/man/unByteCode.Rd          |    4 
 gtools-3.8.2/gtools/tests/test_mixedorder.R    |    2 
 gtools-3.8.2/gtools/tests/test_setTCPNoDelay.R |    7 -
 45 files changed, 209 insertions(+), 231 deletions(-)

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New package changepoint.geo with initial version 1.0.1
Package: changepoint.geo
Type: Package
Title: Geometrically Inspired Multivariate Changepoint Detection
Version: 1.0.1
Date: 2020-03-29
Authors@R: c(person("Thomas","Grundy",role=c("aut","cre"),email="t.grundy1@lancaster.ac.uk"), person("Rebecca","Killick",role="ths"))
Maintainer: Thomas Grundy <t.grundy1@lancaster.ac.uk>
URL: https://github.com/grundy95/changepoint.geo/
Description: Implements the high-dimensional changepoint detection method GeomCP and the related mappings used for changepoint detection. These methods view the changepoint problem from a geometrical viewpoint and aim to extract relevant geometrical features in order to detect changepoints. The geomcp() function should be your first point of call. References: Grundy et al. (2020) <doi:10.1007/s11222-020-09940-y>.
Depends: R(>= 3.6), changepoint, changepoint.np, methods, ggplot2
Imports: Rdpack
RdMacros: Rdpack
Suggests: testthat, MASS
License: GPL
LazyLoad: yes
NeedsCompilation: no
Packaged: 2020-03-31 12:24:16 UTC; grundy
Author: Thomas Grundy [aut, cre], Rebecca Killick [ths]
Repository: CRAN
Date/Publication: 2020-03-31 13:40:07 UTC

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New package vader with initial version 0.0.1
Package: vader
Title: Valence Aware Dictionary and sEntiment Reasoner (VADER)
Version: 0.0.1
Authors@R: person(given = "Katherine", family = "Roehrick", role = c("aut", "cre"), email = "kr.gitcode@gmail.com")
Description: A lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains. Hutto & Gilbert (2014) (<https://www.aaai.org/ocs/index.php/ICWSM/ICWSM14/paper/view/8109/8122>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Imports: tm
Depends: R (>= 2.10)
Suggests: spelling
Language: en-US
NeedsCompilation: no
Packaged: 2020-03-31 06:04:21 UTC; kr
Author: Katherine Roehrick [aut, cre]
Maintainer: Katherine Roehrick <kr.gitcode@gmail.com>
Repository: CRAN
Date/Publication: 2020-03-31 12:50:02 UTC

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New package SpatialRoMLE with initial version 0.1.0
Package: SpatialRoMLE
Type: Package
Title: Robust Maximum Likelihood Estimation for Spatial Error Model
Version: 0.1.0
Authors@R: c(person("Vural","Yildirim", role=c("aut", "cre"), email="vurall_yildirim@hotmail.com", comment = c(ORCID = "0000-0002-6517-7849")), person("Yeliz","Mert Kantar",role=c("aut", "ths"), comment = c(ORCID = "0000-0001-7101-8943")))
Maintainer: Vural Yildirim <vurall_yildirim@hotmail.com>
Description: Provides robust estimation for spatial error model to presence of outliers in the residuals. The classical estimation methods can be influenced by the presence of outliers in the data. We proposed a robust estimation approach based on the robustified likelihood equations for spatial error model (Vural Yildirim & Yeliz Mert Kantar (2020): Robust estimation approach for spatial error model, Journal of Statistical Computation and Simulation, <doi:10.1080/00949655.2020.1740223>).
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-03-31 11:18:02 UTC; VURAL YILDIRIM
Author: Vural Yildirim [aut, cre] (<https://orcid.org/0000-0002-6517-7849>), Yeliz Mert Kantar [aut, ths] (<https://orcid.org/0000-0001-7101-8943>)
Repository: CRAN
Date/Publication: 2020-03-31 12:50:05 UTC

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New package ReDaMoR with initial version 0.4.2
Package: ReDaMoR
Type: Package
Title: Relational Data Modeler
Version: 0.4.2
Author: Patrice Godard
Maintainer: Patrice Godard <patrice.godard@gmail.com>
Description: The aim of this package is to manipulate relational data models in R. It provides functions to create, modify and export data models in json format. It also allows importing models created with 'MySQL Workbench' (<https://www.mysql.com/products/workbench/>). These functions are accessible through a graphical user interface made with 'shiny'. Constraints such as types, keys, uniqueness and mandatory fields are automatically checked and corrected when editing a model. Finally, real data can be confronted to a model to check their compatibility.
URL: https://github.com/patzaw/ReDaMoR
BugReports: https://github.com/patzaw/ReDaMoR/issues
Depends: R (>= 3.5), dplyr, magrittr, visNetwork
Imports: readr, shiny, shinyjs, jsonlite, DT, colourpicker, rintrojs, markdown, rstudioapi, crayon, igraph, utils, graphics, stats
Suggests: knitr, rmarkdown
License: GPL-3
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-03-31 05:06:56 UTC; pgodard
Repository: CRAN
Date/Publication: 2020-03-31 12:50:08 UTC

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New package mlr3shiny with initial version 0.1.1
Package: mlr3shiny
Title: Machine Learning in 'shiny' with 'mlr3'
Version: 0.1.1
Authors@R: c(person(given = "Laurens", family = "Tetzlaff", role = c("aut", "cre"), email = "laurens.tetzlaff@outlook.de"), person(given = "Gero", family = "Szepannek", role = "aut", email = "gero.szepannek@web.de"))
Description: A web-based graphical user interface to provide the basic steps of a machine learning workflow. It uses the functionalities of the 'mlr3' framework.
License: BSD_2_clause + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.6)
Imports: mlr3 (>= 0.1.6), mlr3measures (>= 0.1.1), mlr3learners, shiny, shinythemes, shinydashboard, shinyjs, shinyWidgets, shinyalert, data.table (>= 1.12.8), DT (>= 0.11), readxl, stringr, plyr, purrr, ranger, e1071, stats
LazyData: true
RoxygenNote: 7.1.0
Suggests: testthat (>= 2.1.0), shinytest, devtools
NeedsCompilation: no
Packaged: 2020-03-30 15:01:55 UTC; laurens
Author: Laurens Tetzlaff [aut, cre], Gero Szepannek [aut]
Maintainer: Laurens Tetzlaff <laurens.tetzlaff@outlook.de>
Repository: CRAN
Date/Publication: 2020-03-31 10:30:02 UTC

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New package legco with initial version 0.1.3
Package: legco
Type: Package
Title: Accessing Hong Kong Legislative Council API
Version: 0.1.3
Author: Elgar Teo
Maintainer: Elgar Teo <elgarteo@connect.hku.hk>
URL: https://github.com/elgarteo/legco
BugReports: https://github.com/elgarteo/legco/issues
Description: Fetching data from Hong Kong Legislative Council's open data API in R. Functions correspond to the data endpoints of the API. Documentations of supported API databases: <https://www.legco.gov.hk/odata/english/billsdb.html>, <https://www.legco.gov.hk/odata/english/hansard-db.html>, <https://www.legco.gov.hk/odata/english/attendance-db.html>, <https://www.legco.gov.hk/odata/english/schedule-db.html> and <https://www.legco.gov.hk/odata/english/vrdb.html>.
Imports: httr, jsonlite, utils
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R(>= 3.5.0)
LazyData: true
RoxygenNote: 7.1.0
Suggests: curl, httptest, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-03-30 17:16:13 UTC; Elgar
Repository: CRAN
Date/Publication: 2020-03-31 10:40:02 UTC

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New package gt with initial version 0.2.0.5
Type: Package
Package: gt
Version: 0.2.0.5
Title: Easily Create Presentation-Ready Display Tables
Description: Build display tables from tabular data using with an easy-to-use API. With its progressive approach, we can construct display tables with a clear separation of concerns: you don't have to decide how the tabular data gets transformed and structured whilst also worrying about aesthetics.
Authors@R: c( person("Richard", "Iannone", , "rich@rstudio.com", c("aut", "cre"), comment = c(ORCID = "0000-0003-3925-190X")), person("Joe", "Cheng", , "joe@rstudio.com", "aut"), person("Barret", "Schloerke", , "barret@rstudio.com", "aut", comment = c(ORCID = "0000-0001-9986-114X")), person("RStudio", role = c("cph", "fnd")) )
License: MIT + file LICENSE
URL: https://github.com/rstudio/gt
BugReports: https://github.com/rstudio/gt/issues
Encoding: UTF-8
LazyData: true
ByteCompile: true
RoxygenNote: 7.1.0
Depends: R (>= 3.2.0)
Imports: checkmate (>= 2.0.0), commonmark (>= 1.7), dplyr (>= 0.8.5), fs (>= 1.3.2), ggplot2 (>= 3.3.0), glue (>= 1.3.2), htmltools (>= 0.4.0), magrittr (>= 1.5), rlang (>= 0.4.5), sass (>= 0.1.1), scales (>= 1.1.0), stringr (>= 1.3.1), tibble (>= 3.0.0), tidyselect (>= 1.0.0)
Suggests: knitr, paletteer, testthat (>= 2.1.0), RColorBrewer, rmarkdown, rvest, shiny, tidyr, webshot, xml2
Collate: 'as_data_frame.R' 'base64.R' 'build_data.R' 'compile_scss.R' 'data_color.R' 'datasets.R' 'dt__.R' 'dt_body.R' 'dt_boxhead.R' 'dt_cols_merge.R' 'dt_data.R' 'dt_footnotes.R' 'dt_formats.R' 'dt_groups_rows.R' 'dt_has_built.R' 'dt_heading.R' 'dt_options.R' 'dt_row_groups.R' 'dt_source_notes.R' 'dt_spanners.R' 'dt_stub_df.R' 'dt_stub_others.R' 'dt_stubhead.R' 'dt_styles.R' 'dt_summary.R' 'dt_transforms.R' 'export.R' 'format_data.R' 'gt-package.R' 'gt.R' 'gt_preview.R' 'helpers.R' 'image.R' 'info_tables.R' 'location_methods.R' 'modify_columns.R' 'modify_rows.R' 'tab_create_modify.R' 'opts.R' 'print.R' 'reexports.R' 'render_as_html.R' 'resolver.R' 'shiny.R' 'summary_rows.R' 'text_transform.R' 'utils.R' 'utils_formatters.R' 'utils_general_str_formatting.R' 'utils_pipe.R' 'utils_render_common.R' 'utils_render_footnotes.R' 'utils_render_html.R' 'utils_render_latex.R' 'utils_render_rtf.R' 'zzz.R'
NeedsCompilation: no
Packaged: 2020-03-31 04:35:21 UTC; rich
Author: Richard Iannone [aut, cre] (<https://orcid.org/0000-0003-3925-190X>), Joe Cheng [aut], Barret Schloerke [aut] (<https://orcid.org/0000-0001-9986-114X>), RStudio [cph, fnd]
Maintainer: Richard Iannone <rich@rstudio.com>
Repository: CRAN
Date/Publication: 2020-03-31 10:10:02 UTC

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New package cognitoR with initial version 0.1.0
Package: cognitoR
Type: Package
Title: Authentication for 'Shiny' Apps with 'Amazon Cognito'
Version: 0.1.0
Authors@R: c( person("Pablo", "Pagnone", role = c("aut", "cre"), email = "pablodp84@gmail.com") )
Description: Provides authentication for Shiny applications using 'Amazon Cognito' ( <https://aws.amazon.com/es/cognito/>).
Imports: shiny, yaml, config, shinyjs, httr, dplyr, base64enc, jsonlite
License: GPL-3
BugReports: https://github.com/chi2labs/cognitoR/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-03-30 17:58:32 UTC; pablo
Author: Pablo Pagnone [aut, cre]
Maintainer: Pablo Pagnone <pablodp84@gmail.com>
Repository: CRAN
Date/Publication: 2020-03-31 10:40:06 UTC

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New package celltrackR with initial version 0.3.1
Package: celltrackR
Type: Package
Title: Motion Trajectory Analysis
Date: 2020-03-30
Version: 0.3.1
Authors@R: c(person("Johannes", "Textor", role = c("aut", "cre"), email = "johannes.textor@gmx.de"), person("Katharina", "Dannenberg", role = "aut"), person("Jeffrey", "Berry", role = "aut" ), person("Gerhard", "Burger", role = "aut"), person("Inge", "Wortel", role = "aut", email = "ingewortel@gmail.com"))
Author: Johannes Textor [aut, cre], Katharina Dannenberg [aut], Jeffrey Berry [aut], Gerhard Burger [aut], Inge Wortel [aut]
Maintainer: Johannes Textor <johannes.textor@gmx.de>
Description: Provides methodology to analyze cells that move in a two- or three-dimensional space. Available measures include displacement, confinement ratio, autocorrelation, straightness, turning angle, and fractal dimension. Measures can be applied to entire tracks, steps, or subtracks with varying length. While the methodology has been developed for cell trajectory analysis, it is applicable to anything that moves including animals, people, or vehicles. Some of the methodology implemented in this packages was described by: Beauchemin, Dixit, and Perelson (2007) <doi:10.4049/jimmunol.178.9.5505>, Beltman, Maree, and de Boer (2009) <doi:10.1038/nri2638>, Gneiting and Schlather (2004) <doi:10.1137/S0036144501394387>, Mokhtari, Mech, Zitzmann, Hasenberg, Gunzer, and Figge (2013) <doi:10.1371/journal.pone.0080808>, Moreau, Lemaitre, Terriac, Azar, Piel, Lennon-Dumenil, and Bousso (2012) <doi:10.1016/j.immuni.2012.05.014>, Textor, Peixoto, Henrickson, Sinn, von Andrian, and Westermann (2011) <doi:10.1073/pnas.1102288108>, Textor, Sinn, and de Boer (2013) <doi:10.1186/1471-2105-14-S6-S10>, Textor, Henrickson, Mandl, von Andrian, Westermann, de Boer, and Beltman (2014) <doi:10.1371/journal.pcbi.1003752>.
Depends: R (>= 3.4.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
URL: http://www.motilitylab.net
Imports: stats, grDevices, graphics, utils, ellipse
Suggests: pracma, scatterplot3d, fractaldim, testthat, wordspace, knitr, rmarkdown, uwot, dendextend, ggplot2, ggbeeswarm, gridExtra
RoxygenNote: 7.0.2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-03-30 13:48:09 UTC; ingewortel
Repository: CRAN
Date/Publication: 2020-03-31 10:30:05 UTC

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New package spsurv with initial version 1.0.0
Package: spsurv
Type: Package
Title: Bernstein Polynomial Based Semiparametric Survival Analysis
Version: 1.0.0
Authors@R: c(person(given = "Renato", family = "Panaro", role = c("aut", "cre"), email = "renatovp@ime.usp.br", comment = c(ORCID = "0000-0002-1903-2091", URL= "https://rvpanaro.github.io/")), person(given = "Fábio", family = "Demarqui", role = "aut", email = "fndemarqui@gmail.com", comment = c(ORCID = "0000-0001-9236-1986")), person(given = "Vinícius", family = "Mayrink", role = "aut", email = "vdinizm@gmail.com", comment = c(ORCID = "0000-0002-5683-8326")))
Maintainer: Renato Panaro <renatovp@ime.usp.br>
Description: A set of reliable routines to ease semiparametric survival regression modeling based on Bernstein polynomials. 'spsurv' includes proportional hazards, proportional odds and accelerated failure time frameworks for right-censored data. RV Panaro (2020) <arXiv:2003.10548>.
License: GPL-3
Biarch: true
Depends: R (>= 3.5.0), survival (>= 2.44-1.1), loo (>= 2.1.0), coda (>= 0.19-3), MASS (>= 7.3-51.4)
Imports: methods, Rcpp (>= 0.12.0), rstan (>= 2.18.1), rstantools (>= 1.5.1)
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
Suggests: knitr, devtools, roxygen2, testthat, KMsurv
Encoding: UTF-8
LazyData: true
SystemRequirements: GNU make
BugReports: https://github.com/rvpanaro/spsurv/issues
VignetteBuilder: knitr
RoxygenNote: 7.0.2
NeedsCompilation: yes
Packaged: 2020-03-30 19:45:20 UTC; renato
Author: Renato Panaro [aut, cre] (<https://orcid.org/0000-0002-1903-2091>, https://rvpanaro.github.io/), Fábio Demarqui [aut] (<https://orcid.org/0000-0001-9236-1986>), Vinícius Mayrink [aut] (<https://orcid.org/0000-0002-5683-8326>)
Repository: CRAN
Date/Publication: 2020-03-31 10:00:02 UTC

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New package RTCC with initial version 0.1.0
Package: RTCC
Type: Package
Title: Detecting Trait Clustering in Environmental Gradients
Version: 0.1.0
Author: Mateu Menendez-Serra, Vicente J. Ontiveros, Emilio O. Casamayor, David Alonso
Maintainer: Mateu Menendez-Serra <mateu.menendez@ceab.csic.es>
Description: The Randomized Trait Community Clustering method (Triado-Margarit et al., 2019, <doi:10.1038/s41396-019-0454-4>) is a statistical approach which allows to determine whether if an observed trait clustering pattern is related to an increasing environmental constrain. The method 1) determines whether exists or not a trait clustering on the sampled communities and 2) assess if the observed clustering signal is related or not to an increasing environmental constrain along an environmental gradient. Also, when the effect of the environmental gradient is not linear, allows to determine consistent thresholds on the community assembly based on trait-values.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: matrixStats, vegan, Rcpp
Suggests: testthat, knitr, rmarkdown
LinkingTo: testthat, Rcpp
NeedsCompilation: yes
Packaged: 2020-03-30 20:04:42 UTC; macbookair
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2020-03-31 10:00:13 UTC

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New package mStats with initial version 3.2.2
Package: mStats
Type: Package
Title: Epidemiological Data Analysis
Version: 3.2.2
Authors@R: c(person(given = "Myo Minn", family = "Oo", role = c("aut", "cre"), email = "dr.myominnoo@gmail.com", comment = c(ORCID = "0000-0003-4089-016X")))
Maintainer: Myo Minn Oo <dr.myominnoo@gmail.com>
Description: This is a tool for epidemiologist, medical data analyst, medical or public health professionals. It contains three domains of functions: functions for 1) data management, 2) statistical analysis and 3) calculating epidemiological measures. The calculations are mainly based on three books, 1) Betty R. K, (2006, ISBN:978–0–86542–871–3), 2) B. Burt Gerstman (2013, ISBN:978-1-4443-3608-5) and 3) Douglas G Altman (2005, ISBN:0 7279 1375 1).
License: GPL-2 | GPL-3
URL: https://myominnoo.github.io/
BugReports: https://github.com/myominnoo/mStats/issues
Depends: R (>= 3.0.0)
Imports: stats, utils
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-03-30 18:34:29 UTC; drmyo
Author: Myo Minn Oo [aut, cre] (<https://orcid.org/0000-0003-4089-016X>)
Repository: CRAN
Date/Publication: 2020-03-31 10:00:09 UTC

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Package mkin updated to version 0.9.49.9 with previous version 0.9.49.8 dated 2020-01-09

Title: Kinetic Evaluation of Chemical Degradation Data
Description: Calculation routines based on the FOCUS Kinetics Report (2006, 2014). Includes a function for conveniently defining differential equation models, model solution based on eigenvalues if possible or using numerical solvers. If a C compiler (on windows: 'Rtools') is installed, differential equation models are solved using automatically generated C functions. Please note that no warranty is implied for correctness of results or fitness for a particular purpose.
Author: Johannes Ranke [aut, cre, cph] (<https://orcid.org/0000-0003-4371-6538>), Katrin Lindenberger [ctb], René Lehmann [ctb], Eurofins Regulatory AG [cph]
Maintainer: Johannes Ranke <jranke@uni-bremen.de>

Diff between mkin versions 0.9.49.8 dated 2020-01-09 and 0.9.49.9 dated 2020-03-31

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New package miselect with initial version 0.9.0
Package: miselect
Title: Variable Selection for Multiply Imputed Data
Version: 0.9.0
Authors@R: c( person("Alexander", "Rix", email = "alexrix@umich.edu", role = c("aut", "cre")), person("Jiacong", "Du", email = "jiacong@umich.edu", role = "aut") )
Description: Penalized regression methods, such as lasso and elastic net, are used in many biomedical applications when simultaneous regression coefficient estimation and variable selection is desired. However, missing data complicates the implementation of these methods, particularly when missingness is handled using multiple imputation. Applying a variable selection algorithm on each imputed dataset will likely lead to different sets of selected predictors, making it difficult to ascertain a final active set without resorting to ad hoc combination rules. 'miselect' presents Stacked Adaptive Elastic Net (saenet) and Grouped Adaptive LASSO (galasso) for continuous and binary outcomes, developed by Du et al (2020), currently under review. They, by construction, force selection of the same variables across multiply imputed data. 'miselect' also provides cross validated variants of these methods.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Depends: R (>= 3.5.0)
Suggests: mice, knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-03-30 17:02:07 UTC; alex
Author: Alexander Rix [aut, cre], Jiacong Du [aut]
Maintainer: Alexander Rix <alexrix@umich.edu>
Repository: CRAN
Date/Publication: 2020-03-31 10:00:06 UTC

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New package crmReg with initial version 1.0.0
Package: crmReg
Type: Package
Title: Cellwise Robust M-Regression and SPADIMO
Version: 1.0.0
Authors@R: c( person(given = "Peter", family = "Filzmoser", role = c("aut")), person(given = "Sebastiaan", family = "Hoppner", role = c("aut", "cre"), email = "sebastiaan.hoppner@kuleuven.be"), person(given = "Irene", family = "Ortner", role = c("aut")), person(given = "Sven", family = "Serneels", role = c("aut")), person(given = "Tim", family = "Verdonck", role = c("aut")) )
Description: Method for fitting a cellwise robust linear M-regression model (CRM, Filzmoser et al. (2020) <DOI:10.1016/j.csda.2020.106944>) that yields both a map of cellwise outliers consistent with the linear model, and a vector of regression coefficients that is robust against vertical outliers and leverage points. As a by-product, the method yields an imputed data set that contains estimates of what the values in cellwise outliers would need to amount to if they had fit the model. The package also provides diagnostic tools for analyzing casewise and cellwise outliers using sparse directions of maximal outlyingness (SPADIMO, Debruyne et al. (2019) <DOI:10.1007/s11222-018-9831-5>).
Depends: R (>= 3.5.0)
Imports: FNN, ggplot2, gplots, pcaPP, plyr, robustbase, rrcov
License: GPL (>= 2)
Author: Peter Filzmoser [aut], Sebastiaan Hoppner [aut, cre], Irene Ortner [aut], Sven Serneels [aut], Tim Verdonck [aut]
Maintainer: Sebastiaan Hoppner <sebastiaan.hoppner@kuleuven.be>
LazyLoad: yes
Encoding: UTF-8
LazyData: false
NeedsCompilation: yes
RoxygenNote: 6.1.1
Packaged: 2020-03-30 20:35:23 UTC; Sebastiaan
Repository: CRAN
Date/Publication: 2020-03-31 09:50:08 UTC

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New package Clustering with initial version 1.0
Package: Clustering
Version: 1.0
Date: 2020-03-26
Title: Execution of Multiple Clustering Packages
Author: Luis Alfonso Perez Martos [aut, cre]
Maintainer: Luis Alfonso Perez Martos <lapm0001@gmail.com>
Depends: R (>= 3.3.0)
Description: The design of this package allows us to run different clustering packages and compare the results between them, to determine which algorithm behaves best from the data provided.
License: GPL (>= 2)
Type: Package
Encoding: UTF-8
LazyData: false
RoxygenNote: 7.1.0
Repository: CRAN
Imports: apcluster, cluster, ClusterR, advclust, pvclust, gama, amap, stats, pracma, tools, gmp, utils, xtable, sqldf, data.table
NeedsCompilation: no
Packaged: 2020-03-30 16:42:30 UTC; luis
Date/Publication: 2020-03-31 09:50:15 UTC

More information about Clustering at CRAN
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Package apexcharter updated to version 0.1.4 with previous version 0.1.3 dated 2019-11-27

Title: Create Interactive Chart with the JavaScript 'ApexCharts' Library
Description: Provides an 'htmlwidgets' interface to 'apexcharts.js'. 'Apexcharts' is a modern JavaScript charting library to build interactive charts and visualizations with simple API. 'Apexcharts' examples and documentation are available here: <https://apexcharts.com/>.
Author: Victor Perrier [aut, cre], Fanny Meyer [aut], Juned Chhipa [cph] (apexcharts.js library), Mike Bostock [cph] (d3.format library)
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

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More information about apexcharter at CRAN
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Package meteoland updated to version 0.9.2 with previous version 0.8.3 dated 2019-11-05

Title: Landscape Meteorology Tools
Description: Functions to estimate weather variables at any position of a landscape [De Caceres et al. (2018) <doi:10.1016/j.envsoft.2018.08.003>].
Author: Miquel De Cáceres [aut, cre], Nicolas Martin [aut], Víctor Granda [aut], Antoine Cabon [aut]
Maintainer: Miquel De Cáceres <miquelcaceres@gmail.com>

Diff between meteoland versions 0.8.3 dated 2019-11-05 and 0.9.2 dated 2020-03-31

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Package xaringan updated to version 0.16 with previous version 0.15 dated 2020-03-04

Title: Presentation Ninja
Description: Create HTML5 slides with R Markdown and the JavaScript library 'remark.js' (<https://remarkjs.com>).
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Alessandro Gasparini [ctb] (<https://orcid.org/0000-0002-8319-7624>), Benjie Gillam [ctb], Claus Thorn Ekstrøm [ctb], Daniel Anderson [ctb], Dawei Lang [ctb], Emi Tanaka [ctb], Garrick Aden-Buie [ctb] (<https://orcid.org/0000-0002-7111-0077>), Iñaki Ucar [ctb] (<https://orcid.org/0000-0001-6403-5550>), John Little [ctb], Joseph Casillas [ctb], Lucy D'Agostino McGowan [ctb] (<https://orcid.org/0000-0001-7297-9359>), Malcolm Barrett [ctb] (<https://orcid.org/0000-0003-0299-5825>), Matthew Mark Strasiotto [ctb] (mstr3336), Michael Wayne Kearney [ctb], Nan-Hung Hsieh [ctb], Ole Petter Bang [ctb] (CSS in rmarkdown/templates/xaringan/resources/default.css), Patrick Schratz [ctb], Paul Klemm [ctb] (<https://orcid.org/0000-0002-5985-1737>), Paul Lemmens [ctb], Sean Lopp [ctb], Yongfu Liao [ctb], Yue Jiang [ctb] (<https://orcid.org/0000-0002-9798-5517>)
Maintainer: Yihui Xie <xie@yihui.name>

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Package tinytex updated to version 0.21 with previous version 0.20 dated 2020-02-25

Title: Helper Functions to Install and Maintain 'TeX Live', and Compile 'LaTeX' Documents
Description: Helper functions to install and maintain the 'LaTeX' distribution named 'TinyTeX' (<https://yihui.org/tinytex/>), a lightweight, cross-platform, portable, and easy-to-maintain version of 'TeX Live'. This package also contains helper functions to compile 'LaTeX' documents, and install missing 'LaTeX' packages automatically.
Author: Yihui Xie [aut, cre, cph] (<https://orcid.org/0000-0003-0645-5666>), RStudio, PBC [cph], Fernando Cagua [ctb], Ethan Heinzen [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Mon, 30 Mar 2020

Package qgg (with last version 1.0.2) was removed from CRAN

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Package ChannelAttribution (with last version 1.16) was removed from CRAN

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Package KRIG (with last version 0.1.0) was removed from CRAN

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Package MoEClust updated to version 1.3.0 with previous version 1.2.4 dated 2019-12-11

Title: Gaussian Parsimonious Clustering Models with Covariates and a Noise Component
Description: Clustering via parsimonious Gaussian Mixtures of Experts using the MoEClust models introduced by Murphy and Murphy (2019) <doi:10.1007/s11634-019-00373-8>. This package fits finite Gaussian mixture models with a formula interface for supplying gating and/or expert network covariates using a range of parsimonious covariance parameterisations from the GPCM family via the EM/CEM algorithm. Visualisation of the results of such models using generalised pairs plots and the inclusion of an additional noise component is also facilitated. A greedy forward stepwise search algorithm is provided for identifying the optimal model in terms of the number of components, the GPCM covariance parameterisation, and the subsets of gating/expert network covariates.
Author: Keefe Murphy [aut, cre] (<https://orcid.org/0000-0002-7709-3159>), Thomas Brendan Murphy [ctb] (<https://orcid.org/0000-0002-5668-7046>)
Maintainer: Keefe Murphy <keefe.murphy@ucd.ie>

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Package KeyboardSimulator updated to version 2.2.0 with previous version 2.1.1 dated 2020-03-22

Title: Keyboard and Mouse Input Simulation for Windows OS
Description: Control your keyboard and mouse with R code by simulating key presses and mouse clicks. The input simulation is implemented with the Windows API.
Author: Jim Chen [aut, cre], Jeff Keller [aut, ctb], Chieh Hsu [ctb]
Maintainer: Jim Chen <jim71183@gmail.com>

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Package insurancerating updated to version 0.5.2 with previous version 0.5.1 dated 2020-03-29

Title: Analytic Insurance Rating Techniques
Description: Methods for insurance rating. It provides a data driven strategy for the construction of insurance tariff classes. This strategy is based on the work by Antonio and Valdez (2012) <doi:10.1007/s10182-011-0152-7>. The package also adds functionality showing additional lines for the reference categories in the levels of the coefficients in the output of a generalized linear regression analysis. In addition it implements a procedure determining the level of a factor with the largest exposure, and thereafter changing the base level of the factor to this level.
Author: Martin Haringa [aut, cre]
Maintainer: Martin Haringa <mtharinga@gmail.com>

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Package tabit updated to version 0.2.1 with previous version 0.1.1 dated 2019-10-02

Title: Simple Tabulation Made Simple
Description: Simple tabulation should be dead simple. This package is an opinionated approach to easy tabulations while also providing exact numbers and allowing for re-usability. This is achieved by providing tabulations as data.frames with columns for values, optional variable names, frequency counts including and excluding NAs and percentages for counts including and excluding NAs. Also values are automatically sorted by in decreasing order of frequency counts to allow for fast skimming of the most important information.
Author: Peter Meissner [aut, cre]
Maintainer: Peter Meissner <retep.meissner@gmail.com>

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Package amt updated to version 0.0.9 with previous version 0.0.8 dated 2020-03-23

Title: Animal Movement Tools
Description: Manage and analyze animal movement data. The functionality of 'amt' includes methods to calculate track statistics (e.g. step lengths, speed, or turning angles), prepare data for fitting habitat selection analyses (resource selection functions and step-selection functions <doi:10.1890/04-0953> and integrated step-selection functions <doi:10.1111/2041-210X.12528>), and simulation of space-use from fitted step-selection functions <doi:10.1002/ecs2.1771>.
Author: Johannes Signer [aut, cre], Bjoern Reineking [ctb], Brian Smith [ctb], Ulrike Schlaegel [ctb], Scott LaPoint [dtc]
Maintainer: Johannes Signer <jsigner@gwdg.de>

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Package stagedtrees updated to version 1.0.2 with previous version 1.0.1 dated 2020-01-12

Title: Staged Event Trees
Description: Creates and fits staged event tree probability models. Staged event trees are probabilistic graphical models capable of representing asymmetric conditional independence statements among categorical variables. This package contains functions to create, plot and fit staged event trees from data, moreover different structure learning algorithms are available. References: Collazo R. A., Görgen C. and Smith J. Q. (2018, ISBN:9781498729604). Görgen C., Bigatti A., Riccomagno E. and Smith J. Q. (2018) <arXiv:1705.09457>. Thwaites P. A., Smith, J. Q. (2017) <arXiv:1510.00186>. Barclay L. M., Hutton J. L. and Smith J. Q. (2013) <doi:10.1016/j.ijar.2013.05.006>. Smith J. Q. and Anderson P. E. (2008) <doi:10.1016/j.artint.2007.05.004>.
Author: Gherardo Varando [aut, cre] (<https://orcid.org/0000-0002-6708-1103>), Federico Carli [aut], Manuele Leonelli [aut] (<https://orcid.org/0000-0002-2562-5192>), Eva Riccomagno [aut]
Maintainer: Gherardo Varando <gherardo.varando@gmail.com>

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Package cotram updated to version 0.2-0 with previous version 0.1-1 dated 2019-10-02

Title: Count Transformation Models
Description: Count transformation models featuring parameters interpretable as discrete hazard ratios, odds ratios, reverse-time discrete hazard ratios, or transformed expectations. An appropriate data transformation for a count outcome and regression coefficients are simultaneously estimated by maximising the exact discrete log-likelihood using the computational framework provided in package 'mlt', technical details are given in Siegfried & Hothorn (2020) <DOI:10.1111/2041-210X.13383>.
Author: Sandra Siegfried [aut], Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between cotram versions 0.1-1 dated 2019-10-02 and 0.2-0 dated 2020-03-30

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Package freesurfer updated to version 1.6.7 with previous version 1.6.5 dated 2019-07-18

Title: Wrapper Functions for 'Freesurfer'
Description: Wrapper functions that interface with 'Freesurfer' <https://surfer.nmr.mgh.harvard.edu/>, a powerful and commonly-used 'neuroimaging' software, using system commands. The goal is to be able to interface with 'Freesurfer' completely in R, where you pass R objects of class 'nifti', implemented by package 'oro.nifti', and the function executes an 'Freesurfer' command and returns an R object of class 'nifti' or necessary output.
Author: John Muschelli [aut, cre] (<https://orcid.org/0000-0001-6469-1750>), Athanasia Mo Mowinckel [ctb] (<https://orcid.org/0000-0002-5756-0223>)
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between freesurfer versions 1.6.5 dated 2019-07-18 and 1.6.7 dated 2020-03-30

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Package cchsflow updated to version 1.6.0 with previous version 1.5.1 dated 2020-03-20

Title: Transforming and Harmonizing CCHS Variables
Description: Supporting the use of the Canadian Community Health Survey (CCHS) by transforming variables from each cycle into harmonized, consistent versions that span survey cycles (currently, 2001 to 2014). CCHS data used in this library is accessed and adapted in accordance to the Statistics Canada Open Licence Agreement. This package uses rec_with_table(), which was developed from 'sjmisc' rec(). Lüdecke D (2018). "sjmisc: Data and Variable Transformation Functions". Journal of Open Source Software, 3(26), 754. <doi:10.21105/joss.00754>.
Author: Doug Manuel [aut, cph] (<https://orcid.org/0000-0003-0912-0845>), Warsame Yusuf [aut, cre], Rostyslav Vyuha [aut], Carol Bennett [aut], Yulric Sequeira [ctb], The Ottawa Hospital [cph]
Maintainer: Warsame Yusuf <waryusuf@ohri.ca>

Diff between cchsflow versions 1.5.1 dated 2020-03-20 and 1.6.0 dated 2020-03-30

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New package WordOfMouth with initial version 1.0.0
Package: WordOfMouth
Type: Package
Title: Estimates Economic Variables for Word-of-Mouth-Campaigns
Version: 1.0.0
Date: 2020-03-27
Authors@R: c(person("Michael","Scholz", email = "michael.scholz@th-deg.de", role = c("cre", "aut")), person("Thomas","Woehner", email = "Thomas.Woehner@eah-jena.de", role = "aut"), person("Ralf","Peters", email = "ralf.peters@wiwi.uni-halle.de", role = "ctb"))
Maintainer: Michael Scholz <michael.scholz@th-deg.de>
Description: Methods for estimating profit, profit-maximizing price, demand and consumer surplus of Word-of-Mouth-campaigns on mean-field networks.
License: GPL-3
Depends: R (>= 3.0.1), methods, stats, LambertW
LazyLoad: yes
ByteCompile: yes
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-03-30 11:40:34 UTC; mScholz
Author: Michael Scholz [cre, aut], Thomas Woehner [aut], Ralf Peters [ctb]
Repository: CRAN
Date/Publication: 2020-03-30 16:40:05 UTC

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New package text.alignment with initial version 0.1.0
Package: text.alignment
Type: Package
Title: Text Alignment with Smith-Waterman
Version: 0.1.0
Authors@R: c( person('Jan', 'Wijffels', role = c('aut', 'cre', 'cph'), email = 'jan.wijffels@vub.be', comment = "Rewrite of functionalities from the textreuse R package"), person('Vrije Universiteit Brussel - DIGI: Brussels Platform for Digital Humanities', role = 'cph'), person('Lincoln', 'Mullen', role = c('ctb', 'cph')))
Maintainer: Jan Wijffels <jan.wijffels@vub.be>
Description: Find similarities between texts using the Smith-Waterman algorithm. The algorithm performs local sequence alignment and determines similar regions between two strings. The Smith-Waterman algorithm is explained in the paper: "Identification of common molecular subsequences" by T.F.Smith and M.S.Waterman (1981), available at <doi:10.1016/0022-2836(81)90087-5>. This package implements the same logic for sequences of words and letters instead of molecular sequences.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rcpp (>= 0.11.5)
LinkingTo: Rcpp
RoxygenNote: 6.1.1
Suggests: knitr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-03-30 08:16:53 UTC; Jan
Author: Jan Wijffels [aut, cre, cph] (Rewrite of functionalities from the textreuse R package), Vrije Universiteit Brussel - DIGI: Brussels Platform for Digital Humanities [cph], Lincoln Mullen [ctb, cph]
Repository: CRAN
Date/Publication: 2020-03-30 16:30:02 UTC

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Package smcfcs updated to version 1.4.1 with previous version 1.4.0 dated 2019-03-30

Title: Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification
Description: Implements multiple imputation of missing covariates by Substantive Model Compatible Fully Conditional Specification. This is a modification of the popular FCS/chained equations multiple imputation approach, and allows imputation of missing covariate values from models which are compatible with the user specified substantive model.
Author: Jonathan Bartlett [aut, cre], Ruth Keogh [aut], Claus Thorn Ekstrøm [ctb], Edouard Bonneville [ctb]
Maintainer: Jonathan Bartlett <j.w.bartlett@bath.ac.uk>

Diff between smcfcs versions 1.4.0 dated 2019-03-30 and 1.4.1 dated 2020-03-30

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New package ProfoundData with initial version 0.2.1
Package: ProfoundData
Title: Downloading and Exploring Data from the PROFOUND Database
Version: 0.2.1
Date: 2020-03-13
Authors@R: c(person("Ramiro", "Silveyra Gonzalez", email = "rasilgon@gmail.com", role = c("aut")), person("Christopher", "Reyer", email = "reyer@pik-potsdam.de", role = c("aut")), person("Mahnken", "Mats", email = "mahnken@pik-potsdam.de", role = c("aut")), person("Florian", "Hartig", email = "florian.hartig@biologie.uni-regensburg.de", role = c("aut", "cre"), comment=c(ORCID="0000-0002-6255-9059")), person("Friedrich", "Bohn", email = "friedrich.bohn@ufz.de", role = c("ctb")) )
Description: Provides an R interface for the PROFOUND database <doi:10.5880/PIK.2019.008>. The PROFOUND database contains a wide range of data to evaluate vegetation models and simulate climate impacts at the forest stand scale. It includes 9 forest sites across Europe, and provides for them a site description as well as soil, climate, CO2, Nitrogen deposition, tree-level, forest stand-level and remote sensing data. Moreover, for a subset of 5 sites, also time series of carbon fluxes, energy balances and soil water are available.
Depends: R (>= 3.1.0)
Imports: methods (>= 3.3.2), sqldf (>= 0.4-10), DBI (>= 0.5-1), RSQLite (>= 1.1-2), RNetCDF (>= 1.9-1), settings (>= 0.2.4), zoo (>= 1.7-14), tcltk
License: GPL-3
LazyData: true
Suggests: knitr (>= 1.15.1), rmarkdown (>= 1.3), R.rsp (>= 0.40.0), testthat (>= 1.0.2), BayesianTools
VignetteBuilder: R.rsp
URL: https://cost-fp1304-profound.github.io/ProfoundData/
BugReports: https://github.com/COST-FP1304-PROFOUND/ProfoundData/issues
RoxygenNote: 7.0.2.9000
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-03-29 17:49:31 UTC; florian
Author: Ramiro Silveyra Gonzalez [aut], Christopher Reyer [aut], Mahnken Mats [aut], Florian Hartig [aut, cre] (<https://orcid.org/0000-0002-6255-9059>), Friedrich Bohn [ctb]
Maintainer: Florian Hartig <florian.hartig@biologie.uni-regensburg.de>
Repository: CRAN
Date/Publication: 2020-03-30 16:10:02 UTC

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New package phyloregion with initial version 1.0.2
Package: phyloregion
Type: Package
Title: Biogeographic Regionalization and Spatial Conservation
Version: 1.0.2
Authors@R: c(person("Barnabas H.", "Daru", email= "darunabas@gmail.com", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0002-2115-0257")), person("Piyal", "Karunarathne", role = c("aut")), person("Klaus", "Schliep", email="klaus.schliep@gmail.com", role = c("aut"), comment = c(ORCID = "0000-0003-2941-0161")), person("Xiaobei", "Zhao", role=c("ctb")), person("Albin", "Sandelin", role=c("ctb")))
Description: Computational infrastructure for biogeography, community ecology, and biodiversity conservation (Daru et al. 2020) <doi:10.1101/2020.02.12.945691>. It is based on the conceptual work in Daru et al.(2017) <doi:10.1016/j.tree.2017.08.013> on patterns and processes of biogeographical regionalization. Additionally, the package contains fast and efficient functions to compute more standard conservation measures such as phylogenetic diversity, phylogenetic endemism, evolutionary distinctiveness and global endangerment, as well as compositional turnover (e.g., beta diversity).
Imports: ape, phangorn, Matrix, betapart, fastmatch, parallel, methods, raster, data.table, colorspace, cluster, rgeos, vegan, sp, igraph
Suggests: tinytest, knitr, mapproj
VignetteBuilder: knitr
URL: https://github.com/darunabas/phyloregion, https://darunabas.github.io/phyloregion/index.html
BugReports: https://github.com/darunabas/phyloregion/issues
License: AGPL-3
Encoding: UTF-8
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-03-29 15:44:14 UTC; barnabasdaru
Depends: R (>= 3.6.0)
Author: Barnabas H. Daru [aut, cre, cph] (<https://orcid.org/0000-0002-2115-0257>), Piyal Karunarathne [aut], Klaus Schliep [aut] (<https://orcid.org/0000-0003-2941-0161>), Xiaobei Zhao [ctb], Albin Sandelin [ctb]
Maintainer: Barnabas H. Daru <darunabas@gmail.com>
Repository: CRAN
Date/Publication: 2020-03-30 16:20:02 UTC

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New package aplot with initial version 0.0.3
Package: aplot
Title: Decorate a 'ggplot' with Associated Information
Version: 0.0.3
Authors@R: person("Guangchuang", "Yu", email = "guangchuangyu@gmail.com", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0002-6485-8781"))
Description: For many times, we are not just aligning plots as what 'cowplot' and 'patchwork' did. Users would like to align associated information that requires axes to be exactly matched in subplots, e.g. hierarchical clustering with a heatmap. This package provides utilities to aligns associated subplots to a main plot at different sides (left, right, top and bottom) with axes exactly matched.
Imports: ggplot2, patchwork, magrittr, methods
Suggests: rvcheck, ggtree
URL: https://github.com/YuLab-SMU/aplot
License: Artistic-2.0
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-03-30 12:09:26 UTC; ygc
Author: Guangchuang Yu [aut, cre, cph] (<https://orcid.org/0000-0002-6485-8781>)
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Repository: CRAN
Date/Publication: 2020-03-30 16:40:02 UTC

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Package spNNGP updated to version 0.1.4 with previous version 0.1.3 dated 2020-01-30

Title: Spatial Regression Models for Large Datasets using Nearest Neighbor Gaussian Processes
Description: Fits univariate Bayesian spatial regression models for large datasets using Nearest Neighbor Gaussian Processes (NNGP) detailed in Finley, Datta, Banerjee (2020) <arXiv:2001.09111>, and Finley, Datta, Cook, Morton, Andersen, and Banerjee (2019) <doi:10.1080/10618600.2018.1537924> and Datta, Banerjee, Finley, and Gelfand (2016) <doi:10.1080/01621459.2015.1044091>.
Author: Andrew Finley [aut, cre], Abhirup Datta [aut], Sudipto Banerjee [aut]
Maintainer: Andrew Finley <finleya@msu.edu>

Diff between spNNGP versions 0.1.3 dated 2020-01-30 and 0.1.4 dated 2020-03-30

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Package sen2r updated to version 1.3.3 with previous version 1.3.2 dated 2020-02-27

Title: Find, Download and Process Sentinel-2 Data
Description: Functions to download Sentinel-2 optical images and perform preliminary processing operations. 'sen2r' provides the instruments required to easily perform (and eventually automate) the steps necessary to build a complete Sentinel-2 processing chain. A Graphical User Interface to facilitate data processing is also provided.
Author: Luigi Ranghetti [aut, cre] (<https://orcid.org/0000-0001-6207-5188>), Lorenzo Busetto [aut] (<https://orcid.org/0000-0001-9634-6038>)
Maintainer: Luigi Ranghetti <luigi@ranghetti.info>

Diff between sen2r versions 1.3.2 dated 2020-02-27 and 1.3.3 dated 2020-03-30

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 sen2r-1.3.3/sen2r/tests/testthat/test-t12_s2_download.R     |    6 
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Package PublicationBias updated to version 2.0.0 with previous version 1.1.0 dated 2019-10-26

Title: Sensitivity Analysis for Publication Bias in Meta-Analyses
Description: Performs sensitivity analysis for publication bias in meta-analyses (per Mathur & VanderWeele, 2020 [<https://osf.io/s9dp6>]). These analyses enable statements such as: "For publication bias to shift the observed point estimate to the null, 'significant' results would need to be at least 30-fold more likely to be published than negative or 'nonsignificant' results." Comparable statements can be made regarding shifting to a chosen non-null value or shifting the confidence interval. Provides a worst-case meta-analytic point estimate under maximal publication bias obtained simply by conducting a standard meta-analysis of only the negative and "nonsignificant" studies.
Author: Maya B. Mathur, Tyler J. VanderWeele
Maintainer: Maya B. Mathur <mmathur@stanford.edu>

Diff between PublicationBias versions 1.1.0 dated 2019-10-26 and 2.0.0 dated 2020-03-30

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New package polaroid with initial version 0.0.1
Package: polaroid
Title: Create Hex Stickers with 'shiny'
Version: 0.0.1
Authors@R: person(given = "Jinhwan", family = "Kim", role = c("aut", "cre", "cph"), email = "hwanistic@gmail.com")
Description: Create hexagonal shape sticker image. 'polaroid' can be used in user's web browser. 'polaroid' can be used in 'shinyapps.io'. In both way, user can download created 'hexSticker' as 'PNG' image. 'polaroid' is built based on 'argonDash', 'colourpicker' and 'hexSticker' R package.
License: MIT + file LICENSE
URL: https://github.com/jhk0530/polaroid
BugReports: https://github.com/jhk0530/polaroid/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: argonDash, argonR, colourpicker, ggplot2, grid, hexSticker, png, shiny, shinyWidgets
NeedsCompilation: no
Packaged: 2020-03-30 15:00:14 UTC; jinhwan
Author: Jinhwan Kim [aut, cre, cph]
Maintainer: Jinhwan Kim <hwanistic@gmail.com>
Repository: CRAN
Date/Publication: 2020-03-30 16:00:02 UTC

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Package marqLevAlg updated to version 2.0.2 with previous version 2.0.1 dated 2019-09-20

Title: A Parallelized General-Purpose Optimization Based on Marquardt-Levenberg Algorithm
Description: This algorithm provides a numerical solution to the problem of minimizing (or maximizing) a function. It is particularly suited for complex problems and more efficient than the Gauss-Newton-like algorithm when starting from points very far from the final minimum (or maximum). Each iteration is parallelized and convergence relies on a stringent stopping criterion based on the first and second derivatives.
Author: Viviane Philipps, Cecile Proust-Lima, Melanie Prague, Boris Hejblum, Daniel Commenges, Amadou Diakite
Maintainer: Viviane Philipps <viviane.philipps@u-bordeaux.fr>

Diff between marqLevAlg versions 2.0.1 dated 2019-09-20 and 2.0.2 dated 2020-03-30

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New package firebase with initial version 0.1.0
Package: firebase
Title: Integrates 'Google Firebase' Authentication Method with 'Shiny'
Version: 0.1.0
Date: 2020-03-28
Authors@R: person( given = "John", family = "Coene", role = c("aut", "cre"), email = "jcoenep@gmail.com" )
Description: Authenticate users in 'Shiny' applications using 'Google Firebase' with any of the many methods provided; email and password, email link, or using a third-party provider such as 'Github', 'Twitter', or 'Google'.
License: AGPL-3
Encoding: UTF-8
LazyData: true
Imports: R6, cli, shiny
RoxygenNote: 7.1.0
URL: https://firebase.john-coene.com/, https://github.com/JohnCoene/firebase
BugReports: https://github.com/JohnCoene/firebase/issues
NeedsCompilation: no
Packaged: 2020-03-29 14:26:25 UTC; jp
Author: John Coene [aut, cre]
Maintainer: John Coene <jcoenep@gmail.com>
Repository: CRAN
Date/Publication: 2020-03-30 15:50:05 UTC

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New package cenROC with initial version 1.0.0
Package: cenROC
Type: Package
Title: Estimation of the Time-Dependent ROC Curve and AUC for Censored Survival Data
Version: 1.0.0
Author: Kassu Mehari Beyene and Anouar El Ghouch
Maintainer: Kassu Mehari Beyene <kasu.beyene@uclouvain.be>
Description: Contains functions to estimate a smoothed and a non-smoothed (empirical) time- dependent ROC curve (receiver operating characteristic curve) and the corresponding area under the ROC curve (AUC) for the right censored survival data, as described in Beyene and El Ghouch (2019) <https://dial.uclouvain.be/pr/boreal/object/boreal:219643>.
Depends: R(>= 3.6.0), condSURV
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-03-30 15:19:34 UTC; USER
Repository: CRAN
Date/Publication: 2020-03-30 16:00:05 UTC

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New package Bestie with initial version 0.1.1
Package: Bestie
Type: Package
Title: Bayesian Estimation of Intervention Effects
Version: 0.1.1
Author: Jack Kuipers [aut,cre] and Giusi Moffa [aut]
Maintainer: Jack Kuipers <jack.kuipers@bsse.ethz.ch>
Description: An implementation of intervention effect estimation for DAGs (directed acyclic graphs) learned from binary data. First, parameters are estimated or sampled for the DAG and then interventions on each node (variable) are propagated through the network (do-calculus). Both exact computation (up to around 20 variables) and Monte Carlo schemes (for larger networks) are implemented.
License: GPL-3
Imports: BiDAG (>= 1.3.0), Rcpp (>= 1.0.3)
LinkingTo: Rcpp
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: yes
Packaged: 2020-03-28 22:01:31 UTC; jack
Repository: CRAN
Date/Publication: 2020-03-30 15:30:07 UTC

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Package tmaptools updated to version 3.0 with previous version 2.0-2 dated 2019-07-18

Title: Thematic Map Tools
Description: Set of tools for reading and processing spatial data. The aim is to supply the workflow to create thematic maps. This package also facilitates 'tmap', the package for visualizing thematic maps.
Author: Martijn Tennekes [aut, cre]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

Diff between tmaptools versions 2.0-2 dated 2019-07-18 and 3.0 dated 2020-03-30

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Package Rsagacmd updated to version 0.0.5 with previous version 0.0.2 dated 2019-11-07

Title: Linking R with the Open-Source 'SAGA-GIS' Software
Description: Provides an R scripting interface to the open-source 'SAGA-GIS' (System for Automated Geoscientific Analyses Geographical Information System) software. 'Rsagacmd' dynamically generates R functions for every 'SAGA-GIS' geoprocessing tool based on the user's currently installed 'SAGA-GIS' version. These functions are contained within an S3 object and are accessed as a named list of libraries and tools. This structure facilitates an easier scripting experience by organizing the large number of 'SAGA-GIS' geoprocessing tools (>700) by their respective library. Interactive scripting can fully take advantage of code autocompletion tools (e.g. in 'Rstudio'), allowing for each tools syntax to be quickly recognized. Furthermore, the most common types of spatial data (via the 'raster', 'sp', and 'sf' packages) along with non-spatial data are automatically passed from R to the 'SAGA-GIS' command line tool for geoprocessing operations, and the results are loaded as the appropriate R object. Outputs from individual 'SAGA-GIS' tools can also be chained using pipes from the 'magrittr' and 'dplyr' packages to combine complex geoprocessing operations together in a single statement. 'SAGA-GIS' is available under a GPLv2 / LGPLv2 licence from <https://sourceforge.net/projects/saga-gis/> including Windows x86/x84 binaries. SAGA-GIS is also included in Debian/Ubuntu default software repositories and is available for macOS using homebrew (<https://brew.sh/>) from the osgeo/osgeo4mac (<https://github.com/OSGeo/homebrew-osgeo4mac>) formula tap. Rsagacmd has currently been tested on 'SAGA-GIS' versions from 2.3.1 to 7.6.0 on Windows, Linux and macOS.
Author: Steven Pawley [aut, cre]
Maintainer: Steven Pawley <dr.stevenpawley@gmail.com>

Diff between Rsagacmd versions 0.0.2 dated 2019-11-07 and 0.0.5 dated 2020-03-30

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New package MVNtestchar with initial version 1.0.0
Package: MVNtestchar
Type: Package
Title: Multivariate Normal Distribution Characterization Test
Version: 1.0.0
Date: 2020-03-21
Authors@R: person("William", "Fairweather", email = "wrf343@flowervalleyconsulting.com", role = c("aut", "cre"))
Description: Provides a test of multivariate normality of a sample which does not require estimation of the nuisance parameters, the mean and covariance matrix. Rather, a sequence of transformations removes these nuisance parameters and results in a set of sample matrices that are positive definite. These matrices are uniformly distributed on the space of positive definite matrices in the unit hyperrectangle if and only if the original data is multivariate normal. The package performs a goodness of fit test of this hypothesis. Four sample datasets are included: a bivariate and a trivariate normal set and a bivariate and trivariate Bernoulli set. In addition to the test, functions in the package give rotatable visualizations of the support region of positive definite matrices for bivariate samples.
Depends: R (>= 2.10)
Imports: graphics, grDevices, Hmisc, stats, utils
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2020-03-27 17:57:47 UTC; No
Author: William Fairweather [aut, cre]
Maintainer: William Fairweather <wrf343@flowervalleyconsulting.com>
Repository: CRAN
Date/Publication: 2020-03-30 14:20:02 UTC

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Package IMIFA updated to version 2.1.2 with previous version 2.1.1 dated 2019-12-11

Title: Infinite Mixtures of Infinite Factor Analysers and Related Models
Description: Provides flexible Bayesian estimation of Infinite Mixtures of Infinite Factor Analysers and related models, for nonparametrically clustering high-dimensional data, introduced by Murphy et al. (2019) <doi:10.1214/19-BA1179>. The IMIFA model conducts Bayesian nonparametric model-based clustering with factor analytic covariance structures without recourse to model selection criteria to choose the number of clusters or cluster-specific latent factors, mostly via efficient Gibbs updates. Model-specific diagnostic tools are also provided, as well as many options for plotting results, conducting posterior inference on parameters of interest, posterior predictive checking, and quantifying uncertainty.
Author: Keefe Murphy [aut, cre] (<https://orcid.org/0000-0002-7709-3159>), Cinzia Viroli [ctb], Isobel Claire Gormley [ctb]
Maintainer: Keefe Murphy <keefe.murphy@ucd.ie>

Diff between IMIFA versions 2.1.1 dated 2019-12-11 and 2.1.2 dated 2020-03-30

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Package downloadthis updated to version 0.1.2 with previous version 0.1.1 dated 2020-03-05

Title: Implement Download Buttons in 'rmarkdown'
Description: Implement download buttons in HTML output from 'rmarkdown' without the need for 'runtime:shiny'.
Author: Felipe Mattioni Maturana [aut, cre] (<https://orcid.org/0000-0002-4221-6104>)
Maintainer: Felipe Mattioni Maturana <felipe.mattioni@med.uni-tuebingen.de>

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Package spherepc updated to version 0.1.4 with previous version 0.1.3 dated 2020-03-25

Title: Spherical Principal Curves
Description: Fitting a principal curve to data lying in the spherical surface. This package provides principal circle, principal geodesic analysis, Hauberg's principal curves, and spherical principal curves. Moreover, it offers locally defined principal geodesics which are currently under study. The detailed procedures are described in Jang-Hyun Kim, Jongmin Lee and Hee-Seok Oh (2020) <arXiv:2003.02578>.
Author: Jongmin Lee [aut, cre], Jang-Hyun Kim [ctb], Hee-Seok Oh [aut]
Maintainer: Jongmin Lee <jongminlee9218@gmail.com>

Diff between spherepc versions 0.1.3 dated 2020-03-25 and 0.1.4 dated 2020-03-30

 DESCRIPTION           |   16 ++++++++--------
 MD5                   |   20 ++++++++++----------
 R/spherepc.R          |   43 ++++++++++++++++++++-----------------------
 man/ExtrinsicMean.Rd  |    2 +-
 man/GenerateCircle.Rd |    1 +
 man/LPG.Rd            |   12 ++++++------
 man/PGA.Rd            |    8 ++++----
 man/Rotate.Rd         |    4 ++--
 man/Rotate.inv.Rd     |    2 +-
 man/SPC.Hauberg.Rd    |    7 +++----
 man/SPC.Rd            |   12 +++++-------
 11 files changed, 61 insertions(+), 66 deletions(-)

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Package fICA updated to version 1.1-1 with previous version 1.1-0 dated 2017-09-12

Title: Classical, Reloaded and Adaptive FastICA Algorithms
Description: Algorithms for classical symmetric and deflation-based FastICA, reloaded deflation-based FastICA algorithm and an algorithm for adaptive deflation-based FastICA using multiple nonlinearities. For details, see Miettinen et al. (2014) <doi:10.1109/TSP.2014.2356442> and Miettinen et al. (2017) <doi:10.1016/j.sigpro.2016.08.028>. The package is described in Miettinen, Nordhausen and Taskinen (2018) <doi:10.32614/RJ-2018-046>.
Author: Jari Miettinen [aut, cre] (<https://orcid.org/0000-0002-3270-7014>), Klaus Nordhausen [aut] (<https://orcid.org/0000-0002-3758-8501>), Hannu Oja [aut], Sara Taskinen [aut] (<https://orcid.org/0000-0001-9470-7258>)
Maintainer: Jari Miettinen <jari.p.miettinen@aalto.fi>

Diff between fICA versions 1.1-0 dated 2017-09-12 and 1.1-1 dated 2020-03-30

 DESCRIPTION         |   24 +++++++++++++++++-------
 MD5                 |    9 +++++----
 R/fICA.R            |    2 +-
 inst/CITATION       |only
 inst/ChangeLog      |    4 ++++
 man/fICA-package.Rd |   10 +++++++---
 6 files changed, 34 insertions(+), 15 deletions(-)

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Package durmod updated to version 1.1-4 with previous version 1.1-2 dated 2019-08-21

Title: Mixed Proportional Hazard Competing Risk Model
Description: Estimation of piecewise constant mixed proportional hazard competing risk model with NPMLE. The model is described in S. Gaure et al. (2007) <doi:10.1016/j.jeconom.2007.01.015>, J. Heckman and B. Singer (1984) <doi:10.2307/1911491>, and B.G. Lindsay (1983) <doi:10.1214/aos/1176346059>.
Author: Simen Gaure [aut, cre] (<https://orcid.org/0000-0001-7251-8747>)
Maintainer: Simen Gaure <simen@gaure.no>

Diff between durmod versions 1.1-2 dated 2019-08-21 and 1.1-4 dated 2020-03-30

 DESCRIPTION           |   10 +++++-----
 MD5                   |   24 ++++++++++++------------
 R/duration.R          |    8 ++++----
 R/utils.R             |    6 +++---
 build/vignette.rds    |binary
 inst/doc/whatmph.R    |   26 +++++++++++++-------------
 inst/doc/whatmph.pdf  |binary
 man/durdata.Rd        |    2 +-
 man/flatten.Rd        |    7 +++++--
 man/mphcrm.Rd         |   17 ++++++++++++-----
 man/mphcrm.control.Rd |    2 +-
 man/smashlevels.Rd    |    6 +++---
 src/cfunctions.cpp    |    1 -
 13 files changed, 59 insertions(+), 50 deletions(-)

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Package MetaSubtract updated to version 1.60 with previous version 1.50 dated 2019-06-11

Title: Subtracting Summary Statistics of One or more Cohorts from Meta-GWAS Results
Description: If results from a meta-GWAS are used for validation in one of the cohorts that was included in the meta-analysis, this will yield biased (i.e. too optimistic) results. The validation cohort needs to be independent from the meta-Genome-Wide-Association-Study (meta-GWAS) results. 'MetaSubtract' will subtract the results of the respective cohort from the meta-GWAS results analytically without having to redo the meta-GWAS analysis using the leave-one-out methodology. It can handle different meta-analyses methods and takes into account if single or double genomic control correction was applied to the original meta-analysis. It can also handle different meta-analysis methods. It can be used for whole GWAS, but also for a limited set of genetic markers. See for application: Nolte I.M. et al. (2017); <doi: 10.1038/ejhg.2017.50>.
Author: Ilja M. Nolte
Maintainer: Ilja M. Nolte <i.m.nolte@umcg.nl>

Diff between MetaSubtract versions 1.50 dated 2019-06-11 and 1.60 dated 2020-03-30

 DESCRIPTION          |   15 +-
 MD5                  |    6 -
 R/MetaSubtract.r     |  299 ++++++++++++++++++++++++++++++++-------------------
 man/meta.subtract.Rd |    8 +
 4 files changed, 211 insertions(+), 117 deletions(-)

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New package irace with initial version 3.4
Package: irace
Type: Package
Title: Iterated Racing for Automatic Algorithm Configuration
Description: Iterated race is an extension of the Iterated F-race method for the automatic configuration of optimization algorithms, that is, (offline) tuning their parameters by finding the most appropriate settings given a set of instances of an optimization problem.
Version: 3.4
Authors@R: c(person("Manuel", "López-Ibáñez", role = c("aut", "cre"), email = "manuel.lopez-ibanez@manchester.ac.uk", comment = c(ORCID = "0000-0001-9974-1295")), person("Jérémie", "Dubois-Lacoste", role = "aut"), person("Leslie", "Pérez Cáceres", role = "aut"), person("Thomas", "Stützle", role = "aut"), person("Mauro", "Birattari", role = "aut"), person("Eric", "Yuan", role = "ctb"), person("Prasanna", "Balaprakash", role = "ctb"), person("Nguyen", "Dang", role = "ctb", email = "nttd@st-andrews.ac.uk"))
Depends: R (>= 3.2.0)
Imports: stats, utils, compiler, R6
Suggests: Rmpi (>= 0.6.0), parallel, knitr, testthat, withr, mlr (>= 2.15.0), ParamHelpers, devtools, rhub
VignetteBuilder: knitr
License: GPL (>= 2)
URL: http://iridia.ulb.ac.be/irace, https://github.com/MLopez-Ibanez/irace
BugReports: https://github.com/MLopez-Ibanez/irace/issues
ByteCompile: yes
LazyData: yes
Encoding: UTF-8
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2020-03-30 11:22:35 UTC; manu
Author: Manuel López-Ibáñez [aut, cre] (<https://orcid.org/0000-0001-9974-1295>), Jérémie Dubois-Lacoste [aut], Leslie Pérez Cáceres [aut], Thomas Stützle [aut], Mauro Birattari [aut], Eric Yuan [ctb], Prasanna Balaprakash [ctb], Nguyen Dang [ctb]
Maintainer: Manuel López-Ibáñez <manuel.lopez-ibanez@manchester.ac.uk>
Repository: CRAN
Date/Publication: 2020-03-30 12:30:02 UTC

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Package foreach updated to version 1.5.0 with previous version 1.4.8 dated 2020-02-09

Title: Provides Foreach Looping Construct
Description: Support for the foreach looping construct. Foreach is an idiom that allows for iterating over elements in a collection, without the use of an explicit loop counter. This package in particular is intended to be used for its return value, rather than for its side effects. In that sense, it is similar to the standard lapply function, but doesn't require the evaluation of a function. Using foreach without side effects also facilitates executing the loop in parallel.
Author: Hong Ooi [cre], Microsoft [aut, cph], Steve Weston [aut]
Maintainer: Hong Ooi <hongooi@microsoft.com>

Diff between foreach versions 1.4.8 dated 2020-02-09 and 1.5.0 dated 2020-03-30

 DESCRIPTION            |    8 
 MD5                    |   29 +--
 NAMESPACE              |    2 
 NEWS.md                |    4 
 R/onLoad.R             |    2 
 README.md              |only
 build/vignette.rds     |binary
 inst/doc/foreach.html  |   22 +-
 man/foreach-ext.Rd     |  188 ++++++++++-----------
 man/foreach-package.Rd |  120 ++++++-------
 man/foreach.Rd         |  434 ++++++++++++++++++++++++-------------------------
 man/getDoParWorkers.Rd |   90 +++++-----
 man/getDoSeqWorkers.Rd |   88 ++++-----
 man/registerDoSEQ.Rd   |   46 ++---
 man/setDoPar.Rd        |   50 ++---
 man/setDoSeq.Rd        |   50 ++---
 16 files changed, 569 insertions(+), 564 deletions(-)

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Package Boom updated to version 0.9.4 with previous version 0.9.3 dated 2019-10-07

Title: Bayesian Object Oriented Modeling
Description: A C++ library for Bayesian modeling, with an emphasis on Markov chain Monte Carlo. Although boom contains a few R utilities (mainly plotting functions), its primary purpose is to install the BOOM C++ library on your system so that other packages can link against it.
Author: Steven L. Scott is the sole author and creator of the BOOM project. Some code in the BOOM libraries has been modified from other open source projects. These include Cephes (obtained from Netlib, written by Stephen L. Moshier), NEWUOA (M.J.D Powell, obtained from Powell's web site), and a modified version of the R math libraries (R core development team). Original copyright notices have been maintained in all source files. In these cases, copyright claimed by Steven L. Scott is limited to modifications made to the original code. Google claims copyright for code written while Steven L. Scott was employed at Google from 2008 - 2018, but BOOM is not an officially supported Google project.
Maintainer: Steven L. Scott <steve.the.bayesian@gmail.com>

Diff between Boom versions 0.9.3 dated 2019-10-07 and 0.9.4 dated 2020-03-30

 DESCRIPTION                                                         |   10 -
 MD5                                                                 |   60 ++++-----
 inst/include/Eigen/src/Core/AssignEvaluator.h                       |   64 +++++-----
 inst/include/Eigen/src/Core/products/GeneralMatrixVector.h          |    8 -
 inst/include/LinAlg/Selector.hpp                                    |   34 ++---
 inst/include/LinAlg/SpdMatrix.hpp                                   |    8 -
 inst/include/Models/Glm/Glm.hpp                                     |   29 +++-
 inst/include/Models/MvnBase.hpp                                     |    2 
 inst/include/Models/StateSpace/DynamicInterceptRegression.hpp       |   22 +--
 inst/include/Models/StateSpace/StateModelVector.hpp                 |   64 ++++++++--
 inst/include/Models/StateSpace/StateSpaceLogitModel.hpp             |   11 +
 inst/include/Models/StateSpace/StateSpaceModelBase.hpp              |   18 +-
 inst/include/Models/StateSpace/StateSpacePoissonModel.hpp           |   22 +++
 inst/include/Models/StateSpace/StateSpaceRegressionModel.hpp        |    8 -
 inst/include/Models/StateSpace/StateSpaceStudentRegressionModel.hpp |   19 ++
 inst/include/distributions/trun_gamma.hpp                           |   36 +++++
 inst/include/stats/IQagent.hpp                                      |    1 
 inst/include/stats/Spline.hpp                                       |    5 
 src/LinAlg/Selector.cpp                                             |   38 ++---
 src/LinAlg/SpdMatrix.cpp                                            |    8 -
 src/Models/Glm/RegressionModel.cpp                                  |   33 ++---
 src/Models/StateSpace/StateSpaceLogitModel.cpp                      |    9 -
 src/Models/StateSpace/StateSpaceModelBase.cpp                       |   16 +-
 src/Models/StateSpace/StateSpacePoissonModel.cpp                    |    5 
 src/Models/StateSpace/StateSpaceRegressionModel.cpp                 |    6 
 src/Models/StateSpace/StateSpaceStudentRegressionModel.cpp          |    7 -
 src/distributions/trun_gamma.cpp                                    |   41 ++++--
 src/stats/Bspline.cpp                                               |    5 
 src/stats/Design.cpp                                                |    2 
 src/stats/IQagent.cpp                                               |   12 +
 src/stats/Spline.cpp                                                |    8 +
 31 files changed, 395 insertions(+), 216 deletions(-)

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New package ioanalysis with initial version 0.2.2
Package: ioanalysis
Title: Input Output Analysis
Version: 0.2.2
Authors@R: c( person("John", "Wade", email = "jjpwade2@illinois.edu", role = c("aut", "cre")), person("Ignacio", "Sarmiento-Barbieri", email = "srmntbr2@illinois.edu", role = c("aut")))
Author: John Wade [aut, cre], Ignacio Sarmiento-Barbieri [aut]
Maintainer: John Wade <jjpwade2@illinois.edu>
Description: Calculates fundamental IO matrices (Leontief, Wassily W. (1951) <doi:10.1038/scientificamerican1051-15>); within period analysis via various rankings and coefficients (Sonis and Hewings (2006) <doi:10.1080/09535319200000013>, Blair and Miller (2009) <ISBN:978-0-521-73902-3>, Antras et al (2012) <doi:10.3386/w17819>, Hummels, Ishii, and Yi (2001) <doi:10.1016/S0022-1996(00)00093-3>); across period analysis with impact analysis (Dietzenbacher, van der Linden, and Steenge (2006) <doi:10.1080/09535319300000017>, Sonis, Hewings, and Guo (2006) <doi:10.1080/09535319600000002>); and a variety of table operators.
Depends: R (>= 3.4.0), ggplot2, plot3D
License: GPL (>= 2)
URL: http://www.real.illinois.edu
LazyData: true
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-03-29 21:45:14 UTC; JJPWade
Repository: CRAN
Date/Publication: 2020-03-30 10:10:02 UTC

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New package geometr with initial version 0.2.4
Package: geometr
Title: Generate and Modify Interoperable Geometric Shapes
Version: 0.2.4
Authors@R: c( person("Steffen", "Ehrmann", role = c("aut", "cre"), email = "steffen@funroll-loops.de", comment = c(ORCID = "0000-0002-2958-0796")), person("Dan", "Sunday", role = c("cph"), comment = "fast point-in-polygon algorithm.") )
Description: Provides tools that generate and process fully accessible and tidy geometric shapes. The package improves interoperability of spatial and other geometric classes by providing getters and setters that produce identical output from various classes.
URL: https://github.com/EhrmannS/geometr
BugReports: https://github.com/EhrmannS/geometr/issues
Depends: R (>= 2.10)
Language: en-gb
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: checkmate, sf, sp, spatstat, raster, crayon, deldir, dplyr, grDevices, grid, methods, rgdal, rlang, tibble, readr
Suggests: testthat, rmarkdown, bookdown, magrittr, covr, knitr
LinkingTo: Rcpp
RoxygenNote: 7.1.0
SystemRequirements: C++11
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-03-17 16:50:25 UTC; steffen
Author: Steffen Ehrmann [aut, cre] (<https://orcid.org/0000-0002-2958-0796>), Dan Sunday [cph] (fast point-in-polygon algorithm.)
Maintainer: Steffen Ehrmann <steffen@funroll-loops.de>
Repository: CRAN
Date/Publication: 2020-03-30 10:20:02 UTC

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New package geodetector with initial version 1.0-4
Package: geodetector
Title: Stratified Heterogeneity Measure, Dominant Driving Force Detection, Interaction Relationship Investigation
Version: 1.0-4
Authors@R: c(person("Chengdong", "Xu", email = "xucd@Lreis.ac.cn", role = c("aut", "cre")),person("Jinfeng", "Wang", email = "wangjf@Lreis.ac.cn", role = c("aut")),person("Yue", "Hou" , role = "ctb"),person("Qian", "Yin", role = "ctb"))
Description: Spatial stratified heterogeneity (SSH), referring to the within strata are more similar than the between strata, a model with global parameters would be confounded if input data is SSH. Note that the "spatial" here can be either geospatial or the space in mathematical meaning. Geographical detector is a novel tool to investigate SSH: (1) measure and find SSH of a variable Y; (2) test the power of determinant X of a dependent variable Y according to the consistency between their spatial distributions; and (3) investigate the interaction between two explanatory variables X1 and X2 to a dependent variable Y (Wang et al 2014 <doi:10.1080/13658810802443457>, Wang, Zhang, and Fu 2016 <doi:10.1016/j.ecolind.2016.02.052>).
Depends: R (>= 2.10)
Imports: sp (>= 1.2-7),rgeos (>= 0.3-26),rgdal (>= 1.2-16),maptools
License: GPL (>= 2.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Author: Chengdong Xu [aut, cre], Jinfeng Wang [aut], Yue Hou [ctb], Qian Yin [ctb]
Maintainer: Chengdong Xu <xucd@Lreis.ac.cn>
Repository: CRAN
Packaged: 2020-03-30 04:43:10 UTC; xucd
Date/Publication: 2020-03-30 10:10:06 UTC

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Package paws.customer.engagement updated to version 0.1.7 with previous version 0.1.6 dated 2020-01-12

Title: Amazon Web Services Customer Engagement APIs
Description: Interface to Amazon Web Services customer engagement APIs, including 'Simple Email Service', 'Connect' contact center service, and more <https://aws.amazon.com/>.
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>

Diff between paws.customer.engagement versions 0.1.6 dated 2020-01-12 and 0.1.7 dated 2020-03-30

 DESCRIPTION                                                    |    8 
 MD5                                                            |  180 ++++----
 R/connect_operations.R                                         |  210 +++++-----
 R/connect_service.R                                            |    7 
 R/pinpoint_service.R                                           |    7 
 R/pinpointemail_service.R                                      |    7 
 R/pinpointsmsvoice_service.R                                   |    7 
 R/ses_operations.R                                             |  166 +++----
 R/ses_service.R                                                |    7 
 man/connect.Rd                                                 |    4 
 man/connect_get_current_metric_data.Rd                         |   68 +--
 man/connect_get_metric_data.Rd                                 |  153 ++++---
 man/pinpoint.Rd                                                |    2 
 man/pinpoint_create_campaign.Rd                                |    2 
 man/pinpoint_create_email_template.Rd                          |    2 
 man/pinpoint_create_journey.Rd                                 |    2 
 man/pinpoint_create_push_template.Rd                           |    2 
 man/pinpoint_create_sms_template.Rd                            |    2 
 man/pinpoint_create_voice_template.Rd                          |    2 
 man/pinpoint_delete_email_template.Rd                          |    2 
 man/pinpoint_delete_push_template.Rd                           |    2 
 man/pinpoint_delete_sms_template.Rd                            |    2 
 man/pinpoint_delete_voice_template.Rd                          |    2 
 man/pinpoint_get_application_date_range_kpi.Rd                 |    2 
 man/pinpoint_get_apps.Rd                                       |    2 
 man/pinpoint_get_campaign_date_range_kpi.Rd                    |    2 
 man/pinpoint_get_email_template.Rd                             |    2 
 man/pinpoint_get_push_template.Rd                              |    2 
 man/pinpoint_get_segment_versions.Rd                           |    2 
 man/pinpoint_get_sms_template.Rd                               |    2 
 man/pinpoint_get_voice_template.Rd                             |    2 
 man/pinpoint_list_template_versions.Rd                         |    2 
 man/pinpoint_list_templates.Rd                                 |    2 
 man/pinpoint_send_messages.Rd                                  |    2 
 man/pinpoint_send_users_messages.Rd                            |    2 
 man/pinpoint_update_campaign.Rd                                |    2 
 man/pinpoint_update_email_template.Rd                          |    2 
 man/pinpoint_update_journey.Rd                                 |    2 
 man/pinpoint_update_journey_state.Rd                           |    2 
 man/pinpoint_update_push_template.Rd                           |    2 
 man/pinpoint_update_sms_template.Rd                            |    2 
 man/pinpoint_update_template_active_version.Rd                 |    2 
 man/pinpoint_update_voice_template.Rd                          |    2 
 man/pinpointemail.Rd                                           |    4 
 man/pinpointsmsvoice.Rd                                        |    4 
 man/ses.Rd                                                     |    4 
 man/ses_clone_receipt_rule_set.Rd                              |    4 
 man/ses_create_receipt_filter.Rd                               |    4 
 man/ses_create_receipt_rule.Rd                                 |    4 
 man/ses_create_receipt_rule_set.Rd                             |    4 
 man/ses_delete_identity.Rd                                     |    4 
 man/ses_delete_identity_policy.Rd                              |    4 
 man/ses_delete_receipt_filter.Rd                               |    4 
 man/ses_delete_receipt_rule.Rd                                 |    4 
 man/ses_delete_receipt_rule_set.Rd                             |    4 
 man/ses_delete_verified_email_address.Rd                       |    4 
 man/ses_describe_active_receipt_rule_set.Rd                    |    4 
 man/ses_describe_receipt_rule.Rd                               |    4 
 man/ses_describe_receipt_rule_set.Rd                           |    4 
 man/ses_get_account_sending_enabled.Rd                         |    4 
 man/ses_get_identity_dkim_attributes.Rd                        |    4 
 man/ses_get_identity_mail_from_domain_attributes.Rd            |    4 
 man/ses_get_identity_notification_attributes.Rd                |    4 
 man/ses_get_identity_policies.Rd                               |    4 
 man/ses_get_identity_verification_attributes.Rd                |    4 
 man/ses_get_send_quota.Rd                                      |    4 
 man/ses_get_send_statistics.Rd                                 |    4 
 man/ses_list_identities.Rd                                     |    4 
 man/ses_list_identity_policies.Rd                              |    4 
 man/ses_list_receipt_filters.Rd                                |    4 
 man/ses_list_receipt_rule_sets.Rd                              |    4 
 man/ses_list_verified_email_addresses.Rd                       |    4 
 man/ses_put_identity_policy.Rd                                 |    6 
 man/ses_reorder_receipt_rule_set.Rd                            |    4 
 man/ses_send_email.Rd                                          |    4 
 man/ses_send_raw_email.Rd                                      |    4 
 man/ses_set_active_receipt_rule_set.Rd                         |    4 
 man/ses_set_identity_dkim_enabled.Rd                           |    4 
 man/ses_set_identity_feedback_forwarding_enabled.Rd            |    4 
 man/ses_set_identity_headers_in_notifications_enabled.Rd       |    4 
 man/ses_set_identity_mail_from_domain.Rd                       |    4 
 man/ses_set_identity_notification_topic.Rd                     |    4 
 man/ses_set_receipt_rule_position.Rd                           |    4 
 man/ses_update_account_sending_enabled.Rd                      |    4 
 man/ses_update_configuration_set_reputation_metrics_enabled.Rd |    4 
 man/ses_update_configuration_set_sending_enabled.Rd            |    4 
 man/ses_update_receipt_rule.Rd                                 |    4 
 man/ses_verify_domain_dkim.Rd                                  |    4 
 man/ses_verify_domain_identity.Rd                              |    4 
 man/ses_verify_email_address.Rd                                |    4 
 man/ses_verify_email_identity.Rd                               |    4 
 91 files changed, 568 insertions(+), 512 deletions(-)

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Package paws.cost.management updated to version 0.1.7 with previous version 0.1.6 dated 2020-01-12

Title: Amazon Web Services Cost Management APIs
Description: Interface to Amazon Web Services cost management APIs, including cost and usage reports, budgets, pricing, and more <https://aws.amazon.com/>.
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>

Diff between paws.cost.management versions 0.1.6 dated 2020-01-12 and 0.1.7 dated 2020-03-30

 DESCRIPTION                                                  |    8 -
 MD5                                                          |   66 +++++------
 R/budgets_service.R                                          |    7 -
 R/costandusagereportservice_operations.R                     |    6 -
 R/costandusagereportservice_service.R                        |    7 -
 R/costexplorer_operations.R                                  |    2 
 R/costexplorer_service.R                                     |    7 -
 R/marketplacecommerceanalytics_service.R                     |    7 -
 R/marketplaceentitlementservice_service.R                    |    7 -
 R/marketplacemetering_operations.R                           |    2 
 R/marketplacemetering_service.R                              |    7 -
 R/pricing_operations.R                                       |    6 -
 R/pricing_service.R                                          |    7 -
 man/budgets.Rd                                               |    4 
 man/costandusagereportservice.Rd                             |    4 
 man/costandusagereportservice_delete_report_definition.Rd    |    4 
 man/costandusagereportservice_describe_report_definitions.Rd |    4 
 man/costandusagereportservice_put_report_definition.Rd       |    4 
 man/costexplorer.Rd                                          |    2 
 man/costexplorer_create_cost_category_definition.Rd          |    2 
 man/costexplorer_delete_cost_category_definition.Rd          |    2 
 man/costexplorer_describe_cost_category_definition.Rd        |    2 
 man/costexplorer_get_reservation_purchase_recommendation.Rd  |    2 
 man/costexplorer_get_reservation_utilization.Rd              |    2 
 man/costexplorer_list_cost_category_definitions.Rd           |    2 
 man/costexplorer_update_cost_category_definition.Rd          |    2 
 man/marketplacecommerceanalytics.Rd                          |    4 
 man/marketplaceentitlementservice.Rd                         |    4 
 man/marketplacemetering.Rd                                   |    4 
 man/marketplacemetering_register_usage.Rd                    |    2 
 man/pricing.Rd                                               |    4 
 man/pricing_describe_services.Rd                             |    4 
 man/pricing_get_attribute_values.Rd                          |    4 
 man/pricing_get_products.Rd                                  |    4 
 34 files changed, 99 insertions(+), 106 deletions(-)

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Package AlphaSimR updated to version 0.12.1 with previous version 0.11.1 dated 2020-01-13

Title: Breeding Program Simulations
Description: The successor to the 'AlphaSim' software for breeding program simulation [Faux et al. (2016) <doi:10.3835/plantgenome2016.02.0013>]. Used for stochastic simulations of breeding programs to the level of DNA sequence for every individual. Contained is a wide range of functions for modeling common tasks in a breeding program, such as selection and crossing. These functions allow for constructing simulations of highly complex plant and animal breeding programs via scripting in the R software environment. Such simulations can be used to evaluate overall breeding program performance and conduct research into breeding program design, such as implementation of genomic selection. Included is the 'Markovian Coalescent Simulator' ('MaCS') for fast simulation of biallelic sequences according to a population demographic history [Chen et al. (2009) <doi:10.1101/gr.083634.108>].
Author: Chris Gaynor [aut, cre] (<https://orcid.org/0000-0003-0558-6656>), Gregor Gorjanc [ctb] (<https://orcid.org/0000-0001-8008-2787>), David Wilson [ctb], Daniel Money [ctb] (<https://orcid.org/0000-0001-5151-3648>), John Hickey [ctb] (<https://orcid.org/0000-0001-5675-3974>)
Maintainer: Chris Gaynor <gaynor.robert@hotmail.com>

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Package summariser updated to version 2.3.0 with previous version 2.0.0 dated 2020-02-23

Title: Easy Calculation and Visualisation of Confidence Intervals
Description: Functions to speed up the exploratory analysis of simple datasets using 'dplyr'. Functions are provided to do the common tasks of calculating confidence intervals.
Author: Conor Neilson [aut, cre]
Maintainer: Conor Neilson <condwanaland@gmail.com>

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Package ordinalRR updated to version 1.1 with previous version 1.0 dated 2018-03-14

Title: Analysis of Repeatability and Reproducibility Studies with Ordinal Measurements
Description: Implements Bayesian data analyses of balanced repeatability and reproducibility studies with ordinal measurements. Model fitting is based on MCMC posterior sampling with 'rjags'. Function ordinalRR() directly carries out the model fitting, and this function has the flexibility to allow the user to specify key aspects of the model, e.g., fixed versus random effects. Functions for preprocessing data and for the numerical and graphical display of a fitted model are also provided. There are also functions for displaying the model at fixed (user-specified) parameters and for simulating a hypothetical data set at a fixed (user-specified) set of parameters for a random-effects rater population. For additional technical details, refer to Culp, Ryan, Chen, and Hamada (2018) and cite this Technometrics paper when referencing any aspect of this work. The demo of this package reproduces results from the Technometrics paper.
Author: Ken Ryan <kjryan@mail.wvu.edu>
Maintainer: Ken Ryan <kjryan@mail.wvu.edu>

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Package glmmboot updated to version 0.5.1 with previous version 0.5.0 dated 2019-12-16

Title: Bootstrap Resampling for Mixed Effects and Plain Models
Description: Performs bootstrap resampling for most models that update() works for. There are two primary functions: bootstrap_model() performs block resampling if random effects are present, and case resampling if not; bootstrap_ci() converts output from bootstrap model runs into confidence intervals and p-values. By default, bootstrap_model() calls bootstrap_ci(). Package motivated by Humphrey and Swingley (2018) <arXiv:1805.08670>.
Author: Colman Humphrey [aut, cre]
Maintainer: Colman Humphrey <humphrc@tcd.ie>

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Package getmstatistic updated to version 0.2.1 with previous version 0.2.0 dated 2019-03-15

Title: Quantifying Systematic Heterogeneity in Meta-Analysis
Description: Quantifying systematic heterogeneity in meta-analysis using R. The M statistic aggregates heterogeneity information across multiple variants to, identify systematic heterogeneity patterns and their direction of effect in meta-analysis. It's primary use is to identify outlier studies, which either show "null" effects or consistently show stronger or weaker genetic effects than average across, the panel of variants examined in a GWAS meta-analysis. In contrast to conventional heterogeneity metrics (Q-statistic, I-squared and tau-squared) which measure random heterogeneity at individual variants, M measures systematic (non-random) heterogeneity across multiple independently associated variants. Systematic heterogeneity can arise in a meta-analysis due to differences in the study characteristics of participating studies. Some of the differences may include: ancestry, allele frequencies, phenotype definition, age-of-disease onset, family-history, gender, linkage disequilibrium and quality control thresholds. See <https://magosil86.github.io/getmstatistic/> for statistical statistical theory, documentation and examples.
Author: Lerato E Magosi [aut], Jemma C Hopewell [aut], Martin Farrall [aut], Lerato E Magosi [cre]
Maintainer: Lerato E Magosi <magosil86@gmail.com>

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Package EmissV updated to version 0.665.2.0 with previous version 0.665.1.0 dated 2019-04-02

Title: Vehicular Emissions by Top-Down Methods
Description: Creates emissions for use in air quality models. Vehicular emissions are estimated by a top-down approach, total emissions are calculated using the statistical description of the fleet of vehicles, the emission is spatially distributed according to satellite images or openstreetmap data <https://www.openstreetmap.org> and then distributed temporarily (Vara-Vela et al., 2016, <doi:10.5194/acp-16-777-2016>).
Author: Daniel Schuch [aut, cre] (<https://orcid.org/0000-0001-5977-4519>), Sergio Ibarra-Espinosa [aut] (<https://orcid.org/0000-0002-3162-1905>)
Maintainer: Daniel Schuch <schuch@usp.br>

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Package climate updated to version 0.9.3 with previous version 0.9.2 dated 2020-03-21

Title: Interface to Download Meteorological (and Hydrological) Datasets
Description: Automatize downloading of meteorological and hydrological data from publicly available repositories: OGIMET (<http://ogimet.com/index.phtml.en>), University of Wyoming - atmospheric vertical profiling data (<http://weather.uwyo.edu/upperair>), and Polish Institute of Meterology and Water Management - National Research Institute (<https://dane.imgw.pl>). This package also allows for adding geographical coordinates for each observation.
Author: Bartosz Czernecki [aut, cre] (<https://orcid.org/0000-0001-6496-1386>), Arkadiusz Głogowski [aut] (<https://orcid.org/0000-0002-7587-8892>), Jakub Nowosad [aut] (<https://orcid.org/0000-0002-1057-3721>), IMGW-PIB [ctb] (source of the data)
Maintainer: Bartosz Czernecki <nwp@amu.edu.pl>

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Package approxmatch updated to version 2.0 with previous version 1.0 dated 2017-11-05

Title: Approximately Optimal Fine Balance Matching with Multiple Groups
Description: Tools for constructing a matched design with multiple comparison groups. Further specifications of refined covariate balance restriction and exact match on covariate can be imposed. Matches are approximately optimal in the sense that the cost of the solution is at most twice the optimal cost, Crama and Spieksma (1992) <doi:10.1016/0377-2217(92)90078-N>, Karmakar, Small and Rosenbaum (2019) <doi:10.1080/10618600.2019.1584900>.
Author: Bikram Karmakar
Maintainer: Bikram Karmakar <bkarmakar@ufl.edu>

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Package tibble updated to version 3.0.0 with previous version 2.1.3 dated 2019-06-06

Title: Simple Data Frames
Description: Provides a 'tbl_df' class (the 'tibble') that provides stricter checking and better formatting than the traditional data frame.
Author: Kirill Müller [aut, cre], Hadley Wickham [aut], Romain Francois [ctb], Jennifer Bryan [ctb], RStudio [cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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Package MODIS updated to version 1.1.7 with previous version 1.1.6 dated 2019-11-27

Title: Acquisition and Processing of MODIS Products
Description: Download and processing functionalities for the Moderate Resolution Imaging Spectroradiometer (MODIS). The package provides automated access to the global online data archives LP DAAC (<https://lpdaac.usgs.gov/>), LAADS (<https://ladsweb.modaps.eosdis.nasa.gov/>) and NSIDC (<https://nsidc.org/>) as well as processing capabilities such as file conversion, mosaicking, subsetting and time series filtering.
Author: Matteo Mattiuzzi [aut], Jan Verbesselt [ctb], Tomislav Hengl [ctb], Anja Klisch [ctb], Forrest Stevens [ctb], Steven Mosher [ctb], Bradley Evans [ctb], Agustin Lobo [ctb], Koen Hufkens [ctb], Florian Detsch [cre, aut]
Maintainer: Florian Detsch <fdetsch@web.de>

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Package tsmp (with last version 0.4.11) was removed from CRAN

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2020-03-14 0.4.11
2020-02-28 0.4.8
2019-06-05 0.3.5
2019-02-24 0.3.4
2018-10-23 0.3.2
2018-09-10 0.3.1
2018-08-17 0.2.12

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Package anomaly (with last version 3.0.0) was removed from CRAN

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2020-03-16 3.0.0
2020-02-28 2.0.4
2019-09-19 2.0.2
2019-09-11 2.0.1
2018-09-21 1.1.0
2018-06-30 1.0.0

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2019-06-07 0.2.5-2

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Package BrailleR (with last version 0.30.2) was removed from CRAN

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2020-01-22 0.30.2

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Package tidyUSDA updated to version 0.2.7 with previous version 0.2.6 dated 2020-01-25

Title: A Minimal Tool Set for Gathering USDA Quick Stat Data for Analysis and Visualization
Description: Provides a consistent API to pull United States Department of Agriculture census and survey data from the National Agricultural Statistics Service (NASS) QuickStats service <https://quickstats.nass.usda.gov>.
Author: Brad Lindblad [aut, cre], Michael Thomas [ctb], Alex Mindeman [ctb]
Maintainer: Brad Lindblad <bradley.lindblad@gmail.com>

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Package schrute updated to version 0.2.1 with previous version 0.2.0 dated 2020-03-17

Title: The Entire Transcript from the Office in Tidy Format
Description: The complete scripts from the American version of the Office television show in tibble format. Use this package to analyze and have fun with text from the best series of all time.
Author: Brad Lindblad [aut, cre], Lucas Graybuck [ctb], Sean Kent [ctb]
Maintainer: Brad Lindblad <bradley.lindblad@gmail.com>

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Package bda updated to version 14.3.19 with previous version 14.1.4 dated 2020-02-06

Title: Binned Data Analysis
Description: Algorithms developed for binned data analysis, gene expression data analysis and measurement error models for ordinal data analysis.
Author: Bin Wang <bwang831@gmail.com>
Maintainer: Bin Wang <bwang831@gmail.com>

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Sun, 29 Mar 2020

Package PHInfiniteEstimates updated to version 1.3 with previous version 1.2 dated 2020-03-25

Title: Tools for Inference in the Presence of a Monotone Likelihood
Description: Proportional hazards estimation in the presence of a partially monotone likelihood has difficulties, in that finite estimators do not exist. These difficulties are related to those arising from logistic and multinomial regression. References for methods are given in the separate function documents.
Author: John E. Kolassa and Juan Zhang
Maintainer: John E. Kolassa <kolassa@stat.rutgers.edu>

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Package ggupset updated to version 0.2.1 with previous version 0.2.0 dated 2020-03-25

Title: Combination Matrix Axis for 'ggplot2' to Create 'UpSet' Plots
Description: Replace the standard x-axis in 'ggplots' with a combination matrix to visualize complex set overlaps. 'UpSet' has introduced a new way to visualize the overlap of sets as an alternative to Venn diagrams. This package provides a simple way to produce such plots using 'ggplot2'. In addition it can convert any categorical axis into a combination matrix axis.
Author: Constantin Ahlmann-Eltze [aut, cre] (<https://orcid.org/0000-0002-3762-068X>)
Maintainer: Constantin Ahlmann-Eltze <artjom31415@googlemail.com>

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Package MultiRNG updated to version 1.2.3 with previous version 1.2.2 dated 2019-05-14

Title: Multivariate Pseudo-Random Number Generation
Description: Pseudo-random number generation for 11 multivariate distributions: Normal, t, Uniform, Bernoulli, Hypergeometric, Beta (Dirichlet), Multinomial, Dirichlet-Multinomial, Laplace, Wishart, and Inverted Wishart. The details of the method are explained in Demirtas (2004) <DOI:10.22237/jmasm/1099268340>.
Author: Hakan Demirtas, Rawan Allozi, Ran Gao
Maintainer: Ran Gao <rgao8@uic.edu>

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Package hereR updated to version 0.3.2 with previous version 0.3.1 dated 2020-01-29

Title: 'sf'-Based Interface to the 'HERE' REST APIs
Description: Interface to the 'HERE' REST APIs <https://developer.here.com/develop/rest-apis>: (1) geocode and autocomplete addresses or reverse geocode POIs using the 'Geocoder' API; (2) route directions, travel distance or time matrices and isolines using the 'Routing' API; (3) request real-time traffic flow and incident information from the 'Traffic' API; (4) find request public transport connections and nearby stations from the 'Public Transit' API; (5) get weather forecasts, reports on current weather conditions, astronomical information and alerts at a specific location from the 'Destination Weather' API. Locations, routes and isolines are returned as 'sf' objects.
Author: Merlin Unterfinger [aut, cre]
Maintainer: Merlin Unterfinger <info@munterfinger.ch>

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Package BivUnifBin updated to version 1.3.2 with previous version 1.3.1 dated 2019-05-16

Title: Generation of Bivariate Uniform Data and Its Relation to Bivariate Binary Data
Description: Simulation of bivariate uniform data with a full range of correlations based on two beta densities and computation of the tetrachoric correlation (correlation of bivariate uniform data) from the phi coefficient (correlation of bivariate binary data) and vice versa.
Author: Hakan Demirtas, Rawan Allozi, Ran Gao
Maintainer: Ran Gao <rgao8@uic.edu>

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Package LPRelevance updated to version 3.0 with previous version 2.1 dated 2019-10-07

Title: Relevance-Integrated Statistical Inference Engine
Description: A framework of methods to perform customized inference at individual level by taking contextual covariates into account. Three main functions are provided in this package: (i) LASER(): it generates specially-designed artificial relevant samples for a given case; (ii) g2l.proc(): computes customized fdr(z|x); and (iii) rEB.proc(): performs empirical Bayes inference based on LASERs. The details can be found in Mukhopadhyay, S., and Wang, K (2020, Technical Report).
Author: Subhadeep Mukhopadhyay, Kaijun Wang
Maintainer: Kaijun Wang <kwang2@fredhutch.org>

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Package insurancerating updated to version 0.5.1 with previous version 0.5.0 dated 2020-03-12

Title: Analytic Insurance Rating Techniques
Description: Methods for insurance rating. It provides a data driven strategy for the construction of insurance tariff classes. This strategy is based on the work by Antonio and Valdez (2012) <doi:10.1007/s10182-011-0152-7>. The package also adds functionality showing additional lines for the reference categories in the levels of the coefficients in the output of a generalized linear regression analysis. In addition it implements a procedure determining the level of a factor with the largest exposure, and thereafter changing the base level of the factor to this level.
Author: Martin Haringa [aut, cre]
Maintainer: Martin Haringa <mtharinga@gmail.com>

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Package Polychrome updated to version 1.2.5 with previous version 1.2.4 dated 2020-02-03

Title: Qualitative Palettes with Many Colors
Description: Tools for creating, viewing, and assessing qualitative palettes with many (20-30 or more) colors. See Coombes and colleagues (2019) <doi:10.18637/jss.v090.c01>.
Author: Kevin R. Coombes, Guy Brock
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package heuristicsmineR updated to version 0.2.4 with previous version 0.2.3 dated 2020-03-19

Title: Discovery of Process Models with the Heuristics Miner
Description: Provides the heuristics miner algorithm for process discovery as proposed by Weijters et al. (2011) <doi:10.1109/CIDM.2011.5949453>. The algorithm builds a causal net from an event log created with the 'bupaR' package. Event logs are a set of ordered sequences of events for which 'bupaR' provides the S3 class eventlog(). The discovered causal nets can be visualised as 'htmlwidgets' and it is possible to annotate them with the occurrence frequency or processing and waiting time of process activities.
Author: Felix Mannhardt [aut, cre]
Maintainer: Felix Mannhardt <felix.mannhardt@sintef.no>

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Package opendatatoronto updated to version 0.1.3 with previous version 0.1.2 dated 2020-03-18

Title: Access the City of Toronto Open Data Portal
Description: Access data from the "City of Toronto Open Data Portal" (<https://open.toronto.ca>) directly from R.
Author: Sharla Gelfand [aut, cre], City of Toronto [cph, fnd]
Maintainer: Sharla Gelfand <sharla.gelfand@gmail.com>

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Package gratia updated to version 0.3.1 with previous version 0.3.0 dated 2020-01-19

Title: Graceful 'ggplot'-Based Graphics and Other Functions for GAMs Fitted Using 'mgcv'
Description: Graceful 'ggplot'-based graphics and utility functions for working with generalized additive models (GAMs) fitted using the 'mgcv' package. Provides a reimplementation of the plot() method for GAMs that 'mgcv' provides, as well as 'tidyverse' compatible representations of estimated smooths.
Author: Gavin L. Simpson [aut, cre] (<https://orcid.org/0000-0002-9084-8413>), Henrik Singmann [ctb] (<https://orcid.org/0000-0002-4842-3657>)
Maintainer: Gavin L. Simpson <ucfagls@gmail.com>

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 R/family-utils.R                                                                              |only
 R/utililties.R                                                                                |    8 
 man/bird_move.Rd                                                                              |    4 
 man/derivatives.Rd                                                                            |   15 
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 man/is_factor_var.Rd                                                                          |    7 
 man/link.Rd                                                                                   |only
 man/smallAges.Rd                                                                              |    4 
 man/zooplankton.Rd                                                                            |    4 
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 tests/testthat/test-by-variables.R                                                            |    2 
 tests/testthat/test-derivatives.R                                                             |   30 
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 tests/testthat/test-subsetting.R                                                              |    5 
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Package leafem updated to version 0.1.0 with previous version 0.0.1 dated 2019-04-30

Title: 'leaflet' Extensions for 'mapview'
Description: Provides extensions for packages 'leaflet' & 'mapdeck', many of which are used by package 'mapview'. Focus is on functionality readily available in Geographic Information Systems such as 'Quantum GIS'. Includes functions to display coordinates of mouse pointer position, query image values via mouse pointer and zoom-to-layer buttons. Additionally, provides a feature type agnostic function to add points, lines, polygons to a map.
Author: Tim Appelhans [cre, aut], Christoph Reudenbach [ctb], Kenton Russell [ctb], Jochen Darley [ctb], Daniel Montague [ctb] (Leaflet.EasyButton plugin), Lorenzo Busetto [ctb], Luigi Ranghetti [ctb], Miles McBain [ctb], Sebastian Gatscha [ctb]
Maintainer: Tim Appelhans <tim.appelhans@gmail.com>

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 40 files changed, 484 insertions(+), 227 deletions(-)

More information about leafem at CRAN
Permanent link

Package geobr updated to version 1.3 with previous version 1.2 dated 2020-02-20

Title: Loads Shapefiles of Official Spatial Data Sets of Brazil
Description: Easy access to official spatial data sets of Brazil as 'sf' objects in R. The package includes a wide range of geospatial data available at various geographic scales and for various years with harmonized attributes, projection and topology.
Author: Rafael H. M. Pereira [aut, cre] (<https://orcid.org/0000-0003-2125-7465>), Caio Nogueira Goncalves [aut], Paulo Henrique Fernandes de Araujo [ctb], Guilherme Duarte Carvalho [ctb], Rodrigo Almeida de Arruda [ctb], Igor Nascimento [ctb], Barbara Santiago Pedreira da Costa [ctb], Welligtton Silva Cavedo [ctb], Pedro R. Andrade [ctb], Alan da Silva [ctb], Carlos Kauê Vieira Braga [ctb], Ipea - Institue for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

Diff between geobr versions 1.2 dated 2020-02-20 and 1.3 dated 2020-03-29

 DESCRIPTION                                    |   22 -
 MD5                                            |  179 +++++-----
 NAMESPACE                                      |    6 
 R/download_metadata.R                          |    2 
 R/geobr.R                                      |    5 
 R/list_geobr.R                                 |    1 
 R/lookup_muni.R                                |   15 
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 R/read_state.R                                 |   80 +---
 R/read_statistical_grid.R                      |   78 +---
 R/read_urban_area.R                            |   41 --
 R/read_weighting_area.R                        |   89 +----
 R/utils.R                                      |  198 ++++++++++-
 inst/doc/intro_to_geobr.Rmd                    |    4 
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 tests/testthat/test-read_biomes.R              |   15 
 tests/testthat/test-read_census_tract.R        |   64 +--
 tests/testthat/test-read_conservation_units.R  |   13 
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 tests/testthat/test-read_disaster_risk_area.R  |   30 -
 tests/testthat/test-read_health_facilities.R   |   37 --
 tests/testthat/test-read_immediate_region.R    |   34 -
 tests/testthat/test-read_indigenous_land.R     |   16 
 tests/testthat/test-read_intermediate_region.R |   36 --
 tests/testthat/test-read_meso_region.R         |   58 ---
 tests/testthat/test-read_metro_area.R          |    3 
 tests/testthat/test-read_micro_region.R        |   58 ---
 tests/testthat/test-read_municipal_seat.R      |    7 
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 tests/testthat/test-read_statistical_grid.R    |   64 ---
 tests/testthat/test-read_urban_area.R          |    8 
 tests/testthat/test-read_weighting_area.R      |   67 ---
 vignettes/intro_to_geobr.Rmd                   |    4 
 94 files changed, 1707 insertions(+), 2090 deletions(-)

More information about geobr at CRAN
Permanent link

Package sweidnumbr updated to version 1.4.2 with previous version 1.4.1 dated 2016-09-14

Title: Handling of Swedish Identity Numbers
Description: Structural handling of identity numbers used in the Swedish administration such as personal identity numbers ('personnummer') and organizational identity numbers ('organisationsnummer').
Author: Mans Magnusson and Erik Bulow
Maintainer: Mans Magnusson <mons.magnusson@gmail.com>

Diff between sweidnumbr versions 1.4.1 dated 2016-09-14 and 1.4.2 dated 2020-03-29

 DESCRIPTION                         |   12 -
 MD5                                 |   64 ++---
 R/luhn_algo.R                       |    7 
 R/pin.R                             |   42 ++-
 build/vignette.rds                  |binary
 inst/doc/sweidnumbr.R               |   34 +-
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 man/as.oin.Rd                       |    1 
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 man/pin_to_date.Rd                  |    1 
 man/roin.Rd                         |    1 
 man/rpin.Rd                         |   10 
 man/sweidnumbr.Rd                   |    2 
 tests/testthat/test-pin_test_file.R |    5 
 vignettes/sweidnumbr.Rmd            |    6 
 33 files changed, 456 insertions(+), 209 deletions(-)

More information about sweidnumbr at CRAN
Permanent link

Package paws.security.identity updated to version 0.1.7 with previous version 0.1.6 dated 2020-01-14

Title: Amazon Web Services Security, Identity, & Compliance APIs
Description: Interface to Amazon Web Services security, identity, and compliance APIs, including the 'Identity & Access Management' ('IAM') service for managing access to services and resources, and more <https://aws.amazon.com/>.
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>

Diff between paws.security.identity versions 0.1.6 dated 2020-01-14 and 0.1.7 dated 2020-03-29

 DESCRIPTION                                                |    8 
 MD5                                                        |  574 ++++++-------
 R/acm_operations.R                                         |   10 
 R/acm_service.R                                            |    7 
 R/acmpca_service.R                                         |    7 
 R/clouddirectory_service.R                                 |    7 
 R/cloudhsm_service.R                                       |    7 
 R/cloudhsmv2_service.R                                     |    7 
 R/cognitoidentity_service.R                                |    7 
 R/cognitoidentityprovider_service.R                        |    7 
 R/cognitosync_service.R                                    |    7 
 R/directoryservice_service.R                               |    7 
 R/fms_service.R                                            |    7 
 R/guardduty_service.R                                      |    7 
 R/iam_operations.R                                         |  340 +++----
 R/iam_service.R                                            |    7 
 R/inspector_operations.R                                   |   64 -
 R/inspector_service.R                                      |    7 
 R/kms_operations.R                                         |  156 +--
 R/kms_service.R                                            |    7 
 R/macie_service.R                                          |    7 
 R/ram_service.R                                            |    7 
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 R/secretsmanager_service.R                                 |    9 
 R/securityhub_service.R                                    |    7 
 R/shield_service.R                                         |    7 
 R/sts_operations.R                                         |   36 
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 R/waf_service.R                                            |    7 
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 R/wafregional_service.R                                    |    7 
 man/acm.Rd                                                 |    4 
 man/acm_request_certificate.Rd                             |    2 
 man/acmpca.Rd                                              |    4 
 man/clouddirectory.Rd                                      |    4 
 man/cloudhsm.Rd                                            |    4 
 man/cloudhsmv2.Rd                                          |    4 
 man/cognitoidentity.Rd                                     |    4 
 man/cognitoidentityprovider.Rd                             |    4 
 man/cognitosync.Rd                                         |    4 
 man/directoryservice.Rd                                    |    4 
 man/fms.Rd                                                 |    4 
 man/guardduty.Rd                                           |    4 
 man/iam.Rd                                                 |    4 
 man/iam_add_client_id_to_open_id_connect_provider.Rd       |    4 
 man/iam_add_role_to_instance_profile.Rd                    |    4 
 man/iam_add_user_to_group.Rd                               |    4 
 man/iam_attach_group_policy.Rd                             |    4 
 man/iam_attach_role_policy.Rd                              |    4 
 man/iam_attach_user_policy.Rd                              |    4 
 man/iam_change_password.Rd                                 |    6 
 man/iam_create_access_key.Rd                               |    4 
 man/iam_create_account_alias.Rd                            |    4 
 man/iam_create_group.Rd                                    |    4 
 man/iam_create_instance_profile.Rd                         |    4 
 man/iam_create_login_profile.Rd                            |    6 
 man/iam_create_open_id_connect_provider.Rd                 |    4 
 man/iam_create_role.Rd                                     |    4 
 man/iam_create_user.Rd                                     |    4 
 man/iam_delete_access_key.Rd                               |    4 
 man/iam_delete_account_alias.Rd                            |    4 
 man/iam_delete_account_password_policy.Rd                  |    4 
 man/iam_delete_group_policy.Rd                             |    4 
 man/iam_delete_instance_profile.Rd                         |    4 
 man/iam_delete_login_profile.Rd                            |    4 
 man/iam_delete_role.Rd                                     |    4 
 man/iam_delete_role_policy.Rd                              |    4 
 man/iam_delete_signing_certificate.Rd                      |    4 
 man/iam_delete_user.Rd                                     |    4 
 man/iam_delete_user_policy.Rd                              |    4 
 man/iam_delete_virtual_mfa_device.Rd                       |    4 
 man/iam_generate_organizations_access_report.Rd            |    4 
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 man/iam_get_account_password_policy.Rd                     |    4 
 man/iam_get_account_summary.Rd                             |    4 
 man/iam_get_instance_profile.Rd                            |    4 
 man/iam_get_login_profile.Rd                               |    4 
 man/iam_get_organizations_access_report.Rd                 |    4 
 man/iam_get_role.Rd                                        |    4 
 man/iam_get_service_last_accessed_details.Rd               |    4 
 man/iam_get_service_last_accessed_details_with_entities.Rd |    4 
 man/iam_get_user.Rd                                        |    4 
 man/iam_list_access_keys.Rd                                |    4 
 man/iam_list_account_aliases.Rd                            |    4 
 man/iam_list_group_policies.Rd                             |    4 
 man/iam_list_groups.Rd                                     |    4 
 man/iam_list_groups_for_user.Rd                            |    4 
 man/iam_list_policies_granting_service_access.Rd           |    4 
 man/iam_list_role_tags.Rd                                  |    4 
 man/iam_list_signing_certificates.Rd                       |    4 
 man/iam_list_user_tags.Rd                                  |    4 
 man/iam_list_users.Rd                                      |    4 
 man/iam_list_virtual_mfa_devices.Rd                        |    4 
 man/iam_put_group_policy.Rd                                |    6 
 man/iam_put_role_policy.Rd                                 |    6 
 man/iam_put_user_policy.Rd                                 |    6 
 man/iam_remove_role_from_instance_profile.Rd               |    4 
 man/iam_remove_user_from_group.Rd                          |    4 
 man/iam_set_security_token_service_preferences.Rd          |    4 
 man/iam_simulate_custom_policy.Rd                          |    2 
 man/iam_tag_role.Rd                                        |    4 
 man/iam_tag_user.Rd                                        |    4 
 man/iam_untag_role.Rd                                      |    4 
 man/iam_untag_user.Rd                                      |    4 
 man/iam_update_access_key.Rd                               |    4 
 man/iam_update_account_password_policy.Rd                  |    2 
 man/iam_update_assume_role_policy.Rd                       |    6 
 man/iam_update_group.Rd                                    |    4 
 man/iam_update_login_profile.Rd                            |    4 
 man/iam_update_signing_certificate.Rd                      |    4 
 man/iam_update_user.Rd                                     |    2 
 man/iam_upload_server_certificate.Rd                       |    4 
 man/iam_upload_signing_certificate.Rd                      |    4 
 man/inspector.Rd                                           |    4 
 man/inspector_add_attributes_to_findings.Rd                |    4 
 man/inspector_create_assessment_target.Rd                  |    4 
 man/inspector_create_assessment_template.Rd                |    4 
 man/inspector_create_resource_group.Rd                     |    4 
 man/inspector_delete_assessment_run.Rd                     |    4 
 man/inspector_delete_assessment_target.Rd                  |    4 
 man/inspector_delete_assessment_template.Rd                |    4 
 man/inspector_describe_assessment_runs.Rd                  |    4 
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 man/inspector_describe_findings.Rd                         |    4 
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 man/inspector_unsubscribe_from_event.Rd                    |    4 
 man/inspector_update_assessment_target.Rd                  |    4 
 man/kms.Rd                                                 |    4 
 man/kms_cancel_key_deletion.Rd                             |    4 
 man/kms_create_alias.Rd                                    |    4 
 man/kms_create_grant.Rd                                    |    4 
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 man/kms_decrypt.Rd                                         |    4 
 man/kms_delete_alias.Rd                                    |    4 
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 man/kms_describe_key.Rd                                    |    4 
 man/kms_disable_key.Rd                                     |    4 
 man/kms_disable_key_rotation.Rd                            |    4 
 man/kms_enable_key.Rd                                      |    4 
 man/kms_enable_key_rotation.Rd                             |    4 
 man/kms_encrypt.Rd                                         |    4 
 man/kms_generate_data_key.Rd                               |    4 
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 man/kms_generate_random.Rd                                 |    4 
 man/kms_get_key_policy.Rd                                  |    4 
 man/kms_get_key_rotation_status.Rd                         |    4 
 man/kms_get_parameters_for_import.Rd                       |    4 
 man/kms_import_key_material.Rd                             |    4 
 man/kms_list_aliases.Rd                                    |    4 
 man/kms_list_grants.Rd                                     |    4 
 man/kms_list_key_policies.Rd                               |    4 
 man/kms_list_keys.Rd                                       |    4 
 man/kms_list_resource_tags.Rd                              |    4 
 man/kms_list_retirable_grants.Rd                           |    4 
 man/kms_put_key_policy.Rd                                  |    6 
 man/kms_re_encrypt.Rd                                      |    4 
 man/kms_retire_grant.Rd                                    |    4 
 man/kms_revoke_grant.Rd                                    |    4 
 man/kms_schedule_key_deletion.Rd                           |    4 
 man/kms_tag_resource.Rd                                    |    4 
 man/kms_untag_resource.Rd                                  |    4 
 man/kms_update_alias.Rd                                    |    4 
 man/kms_update_key_description.Rd                          |    4 
 man/macie.Rd                                               |    4 
 man/ram.Rd                                                 |    4 
 man/secretsmanager.Rd                                      |    4 
 man/secretsmanager_cancel_rotate_secret.Rd                 |    4 
 man/secretsmanager_create_secret.Rd                        |    6 
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 man/secretsmanager_describe_secret.Rd                      |    4 
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 man/secretsmanager_get_secret_value.Rd                     |    4 
 man/secretsmanager_list_secret_version_ids.Rd              |    4 
 man/secretsmanager_list_secrets.Rd                         |    4 
 man/secretsmanager_put_resource_policy.Rd                  |    6 
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 man/secretsmanager_restore_secret.Rd                       |    4 
 man/secretsmanager_rotate_secret.Rd                        |    6 
 man/secretsmanager_tag_resource.Rd                         |    4 
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 man/secretsmanager_update_secret_version_stage.Rd          |    8 
 man/securityhub.Rd                                         |    4 
 man/shield.Rd                                              |    4 
 man/sts.Rd                                                 |    6 
 man/sts_assume_role.Rd                                     |    6 
 man/sts_assume_role_with_saml.Rd                           |    4 
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 man/sts_get_caller_identity.Rd                             |    8 
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 man/sts_get_session_token.Rd                               |    4 
 man/waf.Rd                                                 |    4 
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 man/waf_delete_sql_injection_match_set.Rd                  |    4 
 man/waf_delete_web_acl.Rd                                  |    4 
 man/waf_delete_xss_match_set.Rd                            |    4 
 man/waf_get_byte_match_set.Rd                              |    4 
 man/waf_get_change_token.Rd                                |    4 
 man/waf_get_change_token_status.Rd                         |    4 
 man/waf_get_ip_set.Rd                                      |    4 
 man/waf_get_rule.Rd                                        |    4 
 man/waf_get_sampled_requests.Rd                            |    4 
 man/waf_get_size_constraint_set.Rd                         |    4 
 man/waf_get_sql_injection_match_set.Rd                     |    4 
 man/waf_get_web_acl.Rd                                     |    4 
 man/waf_get_xss_match_set.Rd                               |    4 
 man/waf_list_ip_sets.Rd                                    |    4 
 man/waf_list_rules.Rd                                      |    4 
 man/waf_list_size_constraint_sets.Rd                       |    4 
 man/waf_list_sql_injection_match_sets.Rd                   |    4 
 man/waf_list_web_ac_ls.Rd                                  |    4 
 man/waf_list_xss_match_sets.Rd                             |    4 
 man/waf_update_byte_match_set.Rd                           |    4 
 man/waf_update_ip_set.Rd                                   |    4 
 man/waf_update_rule.Rd                                     |    4 
 man/waf_update_size_constraint_set.Rd                      |    4 
 man/waf_update_sql_injection_match_set.Rd                  |    4 
 man/waf_update_web_acl.Rd                                  |    4 
 man/waf_update_xss_match_set.Rd                            |    4 
 man/wafregional.Rd                                         |    4 
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 man/wafregional_create_web_acl.Rd                          |    4 
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 man/wafregional_delete_byte_match_set.Rd                   |    4 
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 man/wafregional_delete_web_acl.Rd                          |    4 
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 man/wafregional_get_byte_match_set.Rd                      |    4 
 man/wafregional_get_change_token.Rd                        |    4 
 man/wafregional_get_change_token_status.Rd                 |    4 
 man/wafregional_get_ip_set.Rd                              |    4 
 man/wafregional_get_rule.Rd                                |    4 
 man/wafregional_get_sampled_requests.Rd                    |    4 
 man/wafregional_get_size_constraint_set.Rd                 |    4 
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 man/wafregional_get_web_acl.Rd                             |    4 
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 man/wafregional_list_sql_injection_match_sets.Rd           |    4 
 man/wafregional_list_web_ac_ls.Rd                          |    4 
 man/wafregional_list_xss_match_sets.Rd                     |    4 
 man/wafregional_update_byte_match_set.Rd                   |    4 
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 man/wafregional_update_size_constraint_set.Rd              |    4 
 man/wafregional_update_sql_injection_match_set.Rd          |    4 
 man/wafregional_update_web_acl.Rd                          |    4 
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 288 files changed, 1342 insertions(+), 1362 deletions(-)

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Package paws.machine.learning updated to version 0.1.7 with previous version 0.1.6 dated 2020-01-14

Title: Amazon Web Services Machine Learning APIs
Description: Interface to Amazon Web Services machine learning APIs, including 'SageMaker' managed machine learning service, natural language processing, speech recognition, translation, and more <https://aws.amazon.com/machine-learning/>.
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>

Diff between paws.machine.learning versions 0.1.6 dated 2020-01-14 and 0.1.7 dated 2020-03-29

 DESCRIPTION                                   |    8 -
 MD5                                           |  124 +++++++++++++-------------
 R/comprehend_service.R                        |    7 -
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 man/polly_describe_voices.Rd                  |    4 
 man/polly_get_lexicon.Rd                      |    4 
 man/polly_list_lexicons.Rd                    |    4 
 man/polly_put_lexicon.Rd                      |    4 
 man/polly_synthesize_speech.Rd                |    4 
 man/rekognition.Rd                            |    4 
 man/rekognition_compare_faces.Rd              |    4 
 man/rekognition_create_collection.Rd          |    4 
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 man/rekognition_delete_faces.Rd               |    4 
 man/rekognition_detect_faces.Rd               |    4 
 man/rekognition_detect_labels.Rd              |    4 
 man/rekognition_index_faces.Rd                |    4 
 man/rekognition_list_collections.Rd           |    4 
 man/rekognition_list_faces.Rd                 |    4 
 man/rekognition_search_faces.Rd               |    4 
 man/rekognition_search_faces_by_image.Rd      |    4 
 man/sagemaker.Rd                              |    4 
 man/sagemakerruntime.Rd                       |    4 
 man/textract.Rd                               |    4 
 man/transcribeservice.Rd                      |    4 
 man/translate.Rd                              |    4 
 man/translate_start_text_translation_job.Rd   |    2 
 63 files changed, 247 insertions(+), 262 deletions(-)

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Package paws.application.integration updated to version 0.1.7 with previous version 0.1.6 dated 2020-01-12

Title: Amazon Web Services Application Integration APIs
Description: Interface to Amazon Web Services application integration APIs, including 'Simple Queue Service' ('SQS') message queue, 'Simple Notification Service' ('SNS') publish/subscribe messaging, and more <https://aws.amazon.com/>.
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>

Diff between paws.application.integration versions 0.1.6 dated 2020-01-12 and 0.1.7 dated 2020-03-29

 DESCRIPTION                                |    8 ++--
 MD5                                        |   56 ++++++++++++++---------------
 R/eventbridge_operations.R                 |    8 ++--
 R/eventbridge_service.R                    |    7 +--
 R/mq_service.R                             |    7 +--
 R/sfn_operations.R                         |   16 ++++----
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 R/sns_operations.R                         |    2 -
 R/sns_service.R                            |    7 +--
 R/sqs_operations.R                         |    6 +--
 R/sqs_service.R                            |    7 +--
 R/swf_operations.R                         |    4 +-
 R/swf_service.R                            |    7 +--
 man/eventbridge.Rd                         |    4 +-
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 man/swf.Rd                                 |    4 +-
 29 files changed, 93 insertions(+), 99 deletions(-)

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Package taRifx updated to version 1.0.6.2 with previous version 1.0.6.1 dated 2018-07-29

Title: Collection of Utility and Convenience Functions
Description: A collection of various utility and convenience functions.
Author: Ari B. Friedman
Maintainer: Ari B. Friedman <abfriedman@gmail.com>

Diff between taRifx versions 1.0.6.1 dated 2018-07-29 and 1.0.6.2 dated 2020-03-29

 DESCRIPTION    |    6 +++---
 MD5            |    4 ++--
 man/bytable.Rd |    2 --
 3 files changed, 5 insertions(+), 7 deletions(-)

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Package Radviz updated to version 0.9.1 with previous version 0.9.0 dated 2020-03-19

Title: Project Multidimensional Data in 2D Space
Description: An implementation of the radviz projection in R. It enables the visualization of multidimensional data while maintaining the relation to the original dimensions. This package provides functions to create and plot radviz projections, and a number of summary plots that enable comparison and analysis. For reference see Ankerst *et al.* (1996) (<http://citeseer.ist.psu.edu/viewdoc/summary?doi=10.1.1.68.1811>) for original implementation, see Di Caro *et al* (2012) (<http://link.springer.com/chapter/10.1007/978-3-642-13672-6_13>) for the original method for dimensional anchor arrangements, see Demsar *et al.* (2007) (<doi:10.1016/j.jbi.2007.03.010>) for the original Freeviz implementation.
Author: Yann Abraham [aut, cre], Nicolas Sauwen [aut]
Maintainer: Yann Abraham <yann.abraham@gmail.com>

Diff between Radviz versions 0.9.0 dated 2020-03-19 and 0.9.1 dated 2020-03-29

 DESCRIPTION                           |    8 -
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 NEWS.md                               |    7 
 R/do.radviz.R                         |    4 
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 inst/doc/multivariate_analysis.R      |   14 +
 inst/doc/multivariate_analysis.Rmd    |   23 ++
 inst/doc/multivariate_analysis.html   |  272 +++++++++++++++++-----------------
 inst/doc/single_cell_projections.html |  120 +++++++--------
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 man/rescalePlot.Rd                    |    5 
 src/FreeViz.cpp                       |   32 ++--
 src/FreeViz2.cpp                      |   36 ++--
 src/GraphViz.cpp                      |   39 ++--
 vignettes/multivariate_analysis.Rmd   |   23 ++
 17 files changed, 409 insertions(+), 314 deletions(-)

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Package PROJ updated to version 0.1.5 with previous version 0.1.0 dated 2020-01-07

Title: Generic Coordinate System Transformations Using 'PROJ'
Description: A wrapper around the generic coordinate transformation software 'PROJ' that transforms geospatial coordinates from one coordinate reference system ('CRS') to another. This includes cartographic projections as well as geodetic transformations. Version 6.0.0 or higher is required, earlier versions if available are not used leaving this package harmlessly non-functional. The intention is for this package to be used by user-packages such as 'reproj', and that the older 'PROJ.4' and version 5 pathways be provided by the 'proj4' package. Separating this disruptive version change (from 4.0 and 5.0, to 6.0 and above) allows the use of existing and stable code in 'proj4' alongside the new idioms and requirements of modern 'PROJ' using this package. The 'PROJ' library is available from <https://proj.org/>.
Author: Michael D. Sumner [aut, cre] (<https://orcid.org/0000-0002-2471-7511>), Jeroen Ooms [ctb] (provided PROJ library support on Windows, and assistance with Windows configuration), Simon Urbanek [cph, ctb] (wrote original code versions for PROJ version 6)
Maintainer: Michael D. Sumner <mdsumner@gmail.com>

Diff between PROJ versions 0.1.0 dated 2020-01-07 and 0.1.5 dated 2020-03-29

 DESCRIPTION                         |   26 +++++----
 MD5                                 |   44 ++++++++--------
 NAMESPACE                           |    1 
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 R/PROJ-package.R                    |    3 -
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 25 files changed, 263 insertions(+), 139 deletions(-)

More information about PROJ at CRAN
Permanent link

Package paws.analytics updated to version 0.1.7 with previous version 0.1.6 dated 2020-01-12

Title: Amazon Web Services Analytics APIs
Description: Interface to Amazon Web Services analytics APIs, including 'Elastic MapReduce' 'Hadoop' and 'Spark' big data service, 'Elasticsearch' search engine, and more <https://aws.amazon.com/>.
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>

Diff between paws.analytics versions 0.1.6 dated 2020-01-12 and 0.1.7 dated 2020-03-29

 DESCRIPTION                         |    8 +--
 MD5                                 |   74 ++++++++++++++++++------------------
 R/athena_operations.R               |    2 
 R/athena_service.R                  |    7 +--
 R/cloudsearch_service.R             |    7 +--
 R/cloudsearchdomain_operations.R    |    8 +--
 R/cloudsearchdomain_service.R       |    7 +--
 R/datapipeline_service.R            |    7 +--
 R/elasticsearchservice_service.R    |    7 +--
 R/emr_service.R                     |    7 +--
 R/firehose_service.R                |    7 +--
 R/glue_operations.R                 |   56 +++++++++++++--------------
 R/glue_service.R                    |    7 +--
 R/kafka_operations.R                |    2 
 R/kafka_service.R                   |    7 +--
 R/kinesis_service.R                 |    7 +--
 R/kinesisanalytics_service.R        |    7 +--
 R/kinesisanalyticsv2_service.R      |    7 +--
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 38 files changed, 184 insertions(+), 190 deletions(-)

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Package parzer updated to version 0.1.4 with previous version 0.1.0 dated 2020-03-19

Title: Parse Messy Geographic Coordinates
Description: Parse geographic coordinates from various formats to decimal degree numeric values. Parse coordinates into their parts (degree, minutes, seconds); calculate hemisphere from coordinates; pull out individually degrees, minutes, or seconds; add and subtract degrees, minutes, and seconds. C++ code herein originally inspired from code written by Jeffrey D. Bogan (<http://bit.ly/CLongLatString>), but then completely re-written.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Jeffrey Bogan [ctb] (C++ code originally from Jeffrey Bogan, but completely re-written), Julien Brun [rev] (Julien Brun reviewed the package, see https://github.com/ropensci/onboarding/issues/341), Maria Munafó [rev] (Maria Munafó reviewed the package, see https://github.com/ropensci/onboarding/issues/341), rOpenSci [fnd] (https://ropensci.org)
Maintainer: Scott Chamberlain <sckott@protonmail.com>

Diff between parzer versions 0.1.0 dated 2020-03-19 and 0.1.4 dated 2020-03-29

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 parzer-0.1.4/parzer/R/parse_lat.R                          |    2 
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 parzer-0.1.4/parzer/R/parse_lon.R                          |    2 
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Package numKM updated to version 0.2.0 with previous version 0.1.0 dated 2017-05-19

Title: Create a Kaplan-Meier Plot with Numbers at Risk
Description: To add the table of numbers at risk below the Kaplan-Meier plot.
Author: Zhicheng Du, Yuantao Hao
Maintainer: Zhicheng Du<dgdzc@hotmail.com>

Diff between numKM versions 0.1.0 dated 2017-05-19 and 0.2.0 dated 2020-03-29

 DESCRIPTION  |    6 +++---
 MD5          |    6 +++---
 R/numKM.R    |    9 +++++----
 man/numKM.Rd |    9 +++++++--
 4 files changed, 18 insertions(+), 12 deletions(-)

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Package DALEXtra updated to version 0.2.1 with previous version 0.2.0 dated 2019-11-18

Title: Extension for 'DALEX' Package
Description: Provides wrapper of various machine learning models. In applied machine learning, there is a strong belief that we need to strike a balance between interpretability and accuracy. However, in field of the interpretable machine learning, there are more and more new ideas for explaining black-box models, that are implemented in 'R'. 'DALEXtra' creates 'DALEX' Biecek (2018) <arXiv:1806.08915> explainer for many type of models including those created using 'python' 'scikit-learn' and 'keras' libraries, 'java' 'h2o' library and 'mljar' API. Important part of the package is Champion-Challenger analysis and innovative approach to model performance across subsets of test data presented in Funnel Plot. Third branch of 'DALEXtra' package is aspect importance analysis that provides instance-level explanations for the groups of explanatory variables.
Author: Szymon Maksymiuk [aut, cre] (<https://orcid.org/0000-0002-3120-1601>), Przemyslaw Biecek [aut] (<https://orcid.org/0000-0001-8423-1823>), Katarzyna Pekala [aut], Anna Kozak [ctb]
Maintainer: Szymon Maksymiuk <sz.maksymiuk@gmail.com>

Diff between DALEXtra versions 0.2.0 dated 2019-11-18 and 0.2.1 dated 2020-03-29

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 DALEXtra-0.2.1/DALEXtra/R/create_env.R                                          |    4 
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 DALEXtra-0.2.1/DALEXtra/tests/testthat/test_keras_explain.R                     |   34 +-
 DALEXtra-0.2.1/DALEXtra/tests/testthat/test_mljar_explain.R                     |   26 +-
 DALEXtra-0.2.1/DALEXtra/tests/testthat/test_scikitlearn_explain.R               |    6 
 DALEXtra-0.2.1/DALEXtra/tests/testthat/tests_prints.R                           |    2 
 38 files changed, 345 insertions(+), 307 deletions(-)

More information about DALEXtra at CRAN
Permanent link

Package sEparaTe (with last version 0.2.1) was removed from CRAN

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

2016-07-27 0.2.1
2016-07-24 0.1.2
2016-06-15 0.1.1
2016-06-13 0.1.0

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Package strandCet (with last version 1.0) was removed from CRAN

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2018-01-24 1.0

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Package ESKNN (with last version 1.0) was removed from CRAN

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2015-09-13 1.0

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Package pifpaf (with last version 1.0.1) was removed from CRAN

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2017-09-28 1.0.1
2017-05-31 1.0.0

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Package OTE (with last version 1.0) was removed from CRAN

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2015-07-31 1.0

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Package irace (with last version 3.3) was removed from CRAN

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

2019-04-26 3.3
2019-04-24 3.2
2018-07-12 3.1
2018-07-05 3.0
2017-08-03 2.4
2017-04-26 2.3
2017-03-24 2.2
2016-10-18 2.1
2016-10-07 2.0
2015-09-11 1.07
2014-11-26 1.06
2014-07-09 1.05
2013-06-09 1.04
2013-01-15 1.03
2012-10-12 1.02
2012-03-19 1.01
2012-02-08 1.0

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Package SetMethods (with last version 2.4) was removed from CRAN

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2018-11-26 2.4
2018-04-25 2.3.1
2017-12-01 2.3
2017-03-17 2.1
2016-08-14 2.0
2013-05-21 1.0

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Package plethem (with last version 0.1.7) was removed from CRAN

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2019-01-02 0.1.7

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

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2017-07-22 1.1.0
2016-11-11 1.0.0

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Package SIMMS (with last version 1.2.0) was removed from CRAN

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2019-05-05 1.2.0
2019-03-07 1.1.2
2017-10-11 1.1.1
2017-09-06 1.1.0
2015-09-21 1.0.2
2015-02-22 1.0.1

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Package SimInf updated to version 6.5.0 with previous version 6.4.0 dated 2019-11-11

Title: A Framework for Data-Driven Stochastic Disease Spread Simulations
Description: Provides an efficient and very flexible framework to conduct data-driven epidemiological modeling in realistic large scale disease spread simulations. The framework integrates infection dynamics in subpopulations as continuous-time Markov chains using the Gillespie stochastic simulation algorithm and incorporates available data such as births, deaths and movements as scheduled events at predefined time-points. Using C code for the numerical solvers and 'OpenMP' (if available) to divide work over multiple processors ensures high performance when simulating a sample outcome. One of our design goals was to make the package extendable and enable usage of the numerical solvers from other R extension packages in order to facilitate complex epidemiological research. The package contains template models and can be extended with user-defined models. For more details see the paper by Widgren, Bauer, Eriksson and Engblom (2019) <doi:10.18637/jss.v091.i12>.
Author: Stefan Widgren [aut, cre] (<https://orcid.org/0000-0001-5745-2284>), Robin Eriksson [aut] (<https://orcid.org/0000-0002-4291-712X>), Stefan Engblom [aut] (<https://orcid.org/0000-0002-3614-1732>), Pavol Bauer [aut] (<https://orcid.org/0000-0003-4328-7171>), Attractive Chaos [cph] (Author of 'kbtree.h' and 'kvec.h'.)
Maintainer: Stefan Widgren <stefan.widgren@gmail.com>

Diff between SimInf versions 6.4.0 dated 2019-11-11 and 6.5.0 dated 2020-03-29

 SimInf-6.4.0/SimInf/src/solvers/kvec.h                           |only
 SimInf-6.5.0/SimInf/DESCRIPTION                                  |   14 
 SimInf-6.5.0/SimInf/MD5                                          |  234 
 SimInf-6.5.0/SimInf/NAMESPACE                                    |    3 
 SimInf-6.5.0/SimInf/NEWS.md                                      |   51 
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 SimInf-6.5.0/SimInf/R/print.R                                    |  150 
 SimInf-6.5.0/SimInf/R/punchcard.R                                |  166 
 SimInf-6.5.0/SimInf/R/run.R                                      |   43 
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 SimInf-6.5.0/SimInf/README.md                                    |  181 
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 SimInf-6.5.0/SimInf/man/prevalence.Rd                            |   11 
 SimInf-6.5.0/SimInf/man/punchcard-set.Rd                         |   12 
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 SimInf-6.5.0/SimInf/man/u0_SEIR.Rd                               |    2 
 SimInf-6.5.0/SimInf/man/u0_SIR.Rd                                |    2 
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 SimInf-6.5.0/SimInf/man/u0_SISe3.Rd                              |    2 
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 SimInf-6.5.0/SimInf/src/SimInf.h                                 |   33 
 SimInf-6.5.0/SimInf/src/init.c                                   |   52 
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 SimInf-6.5.0/SimInf/src/misc/SimInf_ldata.c                      |   43 
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 SimInf-6.5.0/SimInf/src/models/SISe3.c                           |   38 
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 SimInf-6.5.0/SimInf/src/solvers/aem/SimInf_solver_aem.c          |   56 
 SimInf-6.5.0/SimInf/src/solvers/aem/SimInf_solver_aem.h          |   32 
 SimInf-6.5.0/SimInf/src/solvers/ssm/SimInf_solver_ssm.c          |   49 
 SimInf-6.5.0/SimInf/src/solvers/ssm/SimInf_solver_ssm.h          |   32 
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 SimInf-6.5.0/SimInf/tests/SIR.R                                  |  451 +
 SimInf-6.5.0/SimInf/tests/SISe.R                                 | 1775 +++---
 SimInf-6.5.0/SimInf/tests/SISe3.R                                | 2464 ++++-----
 SimInf-6.5.0/SimInf/tests/SISe3_sp.R                             | 2725 ++++------
 SimInf-6.5.0/SimInf/tests/SISe_sp.R                              | 1779 +++---
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 SimInf-6.5.0/SimInf/tests/package_skeleton.R                     |   36 
 SimInf-6.5.0/SimInf/tests/phi.R                                  |  158 
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 SimInf-6.5.0/SimInf/tests/solver_aem.R                           |  141 
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More information about SimInf at CRAN
Permanent link

Package paws.storage updated to version 0.1.7 with previous version 0.1.6 dated 2020-01-14

Title: Amazon Web Services Storage APIs
Description: Interface to Amazon Web Services storage APIs, including 'Simple Storage Service' ('S3') and more <https://aws.amazon.com/>.
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>

Diff between paws.storage versions 0.1.6 dated 2020-01-14 and 0.1.7 dated 2020-03-29

 DESCRIPTION                                                      |    8 
 MD5                                                              |  376 ++--
 R/backup_service.R                                               |    7 
 R/dlm_service.R                                                  |    7 
 R/efs_operations.R                                               |   26 
 R/efs_service.R                                                  |    7 
 R/fsx_operations.R                                               |   22 
 R/fsx_service.R                                                  |    7 
 R/glacier_operations.R                                           |   70 
 R/glacier_service.R                                              |    7 
 R/s3_operations.R                                                |  897 ++++------
 R/s3_service.R                                                   |    7 
 R/s3control_service.R                                            |    7 
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 R/storagegateway_service.R                                       |    7 
 man/backup.Rd                                                    |    4 
 man/dlm.Rd                                                       |    4 
 man/efs.Rd                                                       |    4 
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 man/efs_create_mount_target.Rd                                   |    4 
 man/efs_create_tags.Rd                                           |    4 
 man/efs_delete_file_system.Rd                                    |    4 
 man/efs_delete_mount_target.Rd                                   |    4 
 man/efs_delete_tags.Rd                                           |    4 
 man/efs_describe_file_systems.Rd                                 |    4 
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 man/efs_describe_mount_targets.Rd                                |    4 
 man/efs_describe_tags.Rd                                         |    4 
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 man/efs_put_lifecycle_configuration.Rd                           |    4 
 man/fsx.Rd                                                       |    4 
 man/fsx_create_backup.Rd                                         |    4 
 man/fsx_create_file_system.Rd                                    |    4 
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 man/fsx_tag_resource.Rd                                          |    4 
 man/fsx_untag_resource.Rd                                        |    4 
 man/fsx_update_file_system.Rd                                    |    4 
 man/glacier.Rd                                                   |    4 
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 man/glacier_abort_vault_lock.Rd                                  |    4 
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 man/glacier_complete_vault_lock.Rd                               |    4 
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 man/s3.Rd                                                        |    4 
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 man/s3_head_bucket.Rd                                            |    4 
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 man/s3_list_parts.Rd                                             |    4 
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 man/s3_put_object.Rd                                             |  353 +--
 man/s3_put_object_acl.Rd                                         |    4 
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 man/s3_restore_object.Rd                                         |    4 
 man/s3_upload_part.Rd                                            |    4 
 man/s3_upload_part_copy.Rd                                       |    6 
 man/s3control.Rd                                                 |    4 
 man/storagegateway.Rd                                            |    4 
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 189 files changed, 1518 insertions(+), 1591 deletions(-)

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Package paws.networking updated to version 0.1.7 with previous version 0.1.6 dated 2020-01-14

Title: Amazon Web Services Networking & Content Delivery APIs
Description: Interface to Amazon Web Services networking and content delivery APIs, including 'Route 53' Domain Name System service, 'CloudFront' content delivery, load balancing, and more <https://aws.amazon.com/>.
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>

Diff between paws.networking versions 0.1.6 dated 2020-01-14 and 0.1.7 dated 2020-03-29

 DESCRIPTION                                              |    8 
 MD5                                                      |  194 ++++++------
 R/apigateway_service.R                                   |    7 
 R/apigatewaymanagementapi_service.R                      |    7 
 R/apigatewayv2_service.R                                 |    7 
 R/appmesh_service.R                                      |    7 
 R/cloudfront_service.R                                   |    7 
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 R/elb_operations.R                                       |   72 ++--
 R/elb_service.R                                          |    7 
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 R/elbv2_service.R                                        |    7 
 R/globalaccelerator_service.R                            |  122 +++----
 R/route53_operations.R                                   |  236 +++++++--------
 R/route53_service.R                                      |    7 
 R/route53domains_service.R                               |    7 
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 man/route53domains.Rd                                    |    4 
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 98 files changed, 712 insertions(+), 723 deletions(-)

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Package paws.database updated to version 0.1.7 with previous version 0.1.6 dated 2020-01-12

Title: Amazon Web Services Database APIs
Description: Interface to Amazon Web Services database APIs, including 'Relational Database Service' ('RDS'), 'DynamoDB' 'NoSQL' database, and more <https://aws.amazon.com/>.
Author: David Kretch [aut, cre], Adam Banker [aut], Amazon.com, Inc. [cph]
Maintainer: David Kretch <david.kretch@gmail.com>

Diff between paws.database versions 0.1.6 dated 2020-01-12 and 0.1.7 dated 2020-03-29

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Package gghighlight updated to version 0.3.0 with previous version 0.2.0 dated 2020-01-25

Title: Highlight Lines and Points in 'ggplot2'
Description: Make it easier to explore data with highlights.
Author: Hiroaki Yutani [aut, cre] (<https://orcid.org/0000-0002-3385-7233>)
Maintainer: Hiroaki Yutani <yutani.ini@gmail.com>

Diff between gghighlight versions 0.2.0 dated 2020-01-25 and 0.3.0 dated 2020-03-29

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Package DET updated to version 2.0.2 with previous version 2.0.1 dated 2019-06-14

Title: Representation of DET Curve with Confidence Intervals
Description: Builds both ROC (Receiver Operating Characteristic) and DET (Detection Error Tradeoff) curves from a set of predictors, which are the results of a binary classification system. The curves give a general vision of the performance of the classifier, and are useful for comparing performance of different systems.
Author: García-Ródenas, Álvaro [aut, cre], Franco, Manuel [aut], Vivo, Juana-María [aut], Fernández-Breis, Jesualdo T. [aut], Font, Roberto [aut]
Maintainer: "García-Ródenas, Álvaro" <alvaro.garcia9@um.es>

Diff between DET versions 2.0.1 dated 2019-06-14 and 2.0.2 dated 2020-03-29

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 MD5                      |    6 +++---
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Package CoreGx (with last version 0.1.1) was removed from CRAN

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

2019-12-19 0.1.1
2019-06-14 0.1.0

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Package ToxicoGx (with last version 0.1.1) was removed from CRAN

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

2020-01-20 0.1.1
2020-01-14 0.1.0
2019-11-15 0.0.1

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Package RadioGx (with last version 0.0.2) was removed from CRAN

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

2019-12-19 0.0.2
2019-06-18 0.0.1

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Package animint2 (with last version 2019.7.3) was removed from CRAN

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

2019-07-18 2019.7.3

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Package SurrogateTest updated to version 1.2 with previous version 1.1 dated 2019-03-28

Title: Early Testing for a Treatment Effect using Surrogate Marker Information
Description: Provides functions to test for a treatment effect in terms of the difference in survival between a treatment group and a control group using surrogate marker information obtained at some early time point in a time-to-event outcome setting. Nonparametric kernel estimation is used to estimate the test statistic and perturbation resampling is used for variance estimation. More details will be available in the future in: Parast L, Cai T, Tian L (2019). Using a Surrogate Marker for Early Testing of a Treatment Effect. Biometrics, In press.
Author: Layla Parast
Maintainer: Layla Parast <parast@rand.org>

Diff between SurrogateTest versions 1.1 dated 2019-03-28 and 1.2 dated 2020-03-29

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Package Sim.DiffProc updated to version 4.5 with previous version 4.4 dated 2019-05-27

Title: Simulation of Diffusion Processes
Description: It provides users with a wide range of tools to simulate, estimate, analyze, and visualize the dynamics of stochastic differential systems in both forms Ito and Stratonovich. Statistical analysis with parallel Monte Carlo and moment equations methods of SDE's. Enabled many searchers in different domains to use these equations to modeling practical problems in financial and actuarial modeling and other areas of application, e.g., modeling and simulate of first passage time problem in shallow water using the attractive center (Boukhetala K, 1996) ISBN:1-56252-342-2.
Author: Arsalane Chouaib Guidoum [cre, aut], Kamal Boukhetala [aut]
Maintainer: Arsalane Chouaib Guidoum <acguidoum@usthb.dz>

Diff between Sim.DiffProc versions 4.4 dated 2019-05-27 and 4.5 dated 2020-03-29

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Package rtsplot updated to version 0.1.3 with previous version 0.1.2 dated 2020-01-25

Title: Time Series Plot
Description: A fast and elegant time series visualization package. In addition to the standard R plot types, this package supports candle sticks, open-high-low-close, and volume plots. Useful for visualizing any time series data, e.g., stock prices and technical indicators.
Author: RTSVizTeam [aut, cph], Irina Kapler [cre]
Maintainer: Irina Kapler <irkapler@gmail.com>

Diff between rtsplot versions 0.1.2 dated 2020-01-25 and 0.1.3 dated 2020-03-29

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Package ProjectionBasedClustering updated to version 1.1.1 with previous version 1.1.0 dated 2020-02-03

Title: Projection Based Clustering
Description: A clustering approach applicable to every projection method is proposed here. The two-dimensional scatter plot of any projection method can construct a topographic map which displays unapparent data structures by using distance and density information of the data. The generalized U*-matrix renders this visualization in the form of a topographic map, which can be used to automatically define the clusters of high-dimensional data. The whole system is the generalization of on an idea from the book "Projection-Based Clustering through Self-Organization and Swarm Intelligence" <DOI:10.1007/978-3-658-20540-9>. Selecting the correct projection method will result in a visualization in which mountains surround each cluster. The number of clusters can be determined by counting valleys on the topographic map. Most projection methods are wrappers for already available methods in R. By contrast, the neighbor retrieval visualizer (NeRV) is based on C++ source code of the 'dredviz' software package, and the Curvilinear Component Analysis (CCA) is translated from 'MATLAB' ('SOM Toolbox' 2.0) to R.
Author: Michael Thrun [aut, cre, cph], Florian Lerch [aut], Felix Pape [aut], Tim Schreier [aut], Luis Winckelmann [aut], Kristian Nybo [cph], Jarkko Venna [cph]
Maintainer: Michael Thrun <m.thrun@gmx.net>

Diff between ProjectionBasedClustering versions 1.1.0 dated 2020-02-03 and 1.1.1 dated 2020-03-29

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Package fixest updated to version 0.4.0 with previous version 0.3.1 dated 2020-02-09

Title: Fast Fixed-Effects Estimations
Description: Fast and user-friendly estimation of econometric models with multiple fixed-effects. Includes ordinary least squares (OLS), generalized linear models (GLM) and the negative binomial. The core of the package is based on optimized parallel C++ code, scaling especially well for large data sets. The method to obtain the fixed-effects coefficients is based on Berge (2018) <https://wwwen.uni.lu/content/download/110162/1299525/file/2018_13>. Further provides tools to export and view the results of several estimations with intuitive design to cluster the standard-errors.
Author: Laurent Berge [aut, cre]
Maintainer: Laurent Berge <laurent.berge@uni.lu>

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Package ezplot updated to version 0.4.0 with previous version 0.3.1 dated 2019-07-20

Title: Functions for Common Chart Types
Description: Wrapper for the 'ggplot2' package that creates a variety of common charts (e.g. bar, line, area, ROC, waterfall, pie) while aiming to reduce typing.
Author: Wojtek Kostelecki
Maintainer: Wojtek Kostelecki <wojtek.kostelecki@gmail.com>

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Package eyeTrackR updated to version 1.0.1 with previous version 1.0.0 dated 2019-10-28

Title: Organising and Analysing Eye-Tracking Data
Description: A set of functions for organising and analysing datasets from experiments run using 'Eyelink' eye-trackers. Organising functions help to clean and prepare eye-tracking datasets for analysis, and mark up key events such as display changes and responses made by participants. Analysing functions help to create means for a wide range of standard measures (such as 'mean fixation durations'), which can then be fed into the appropriate statistical analyses and graphing packages as necessary.
Author: Hayward Godwin [aut, cre], Alexander Muhl-Richardson [ctb]
Maintainer: Hayward Godwin <hg102@soton.ac.uk>

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Package diverge updated to version 1.0.3 with previous version 1.0.2 dated 2020-03-03

Title: Evolutionary Trait Divergence Between Sister Species and Other Paired Lineages
Description: Compares alternative models of continuous trait differentiation in sister species and other paired lineages. Alternative models include approximations of divergent selection, drift, and stabilizing selection, plus a variety of extensions to facilitate the testing of process-to-pattern hypotheses. Alternative processes are expected to leave unique signatures in the distribution of trait differentiation in datasets comprised of many species pairs. Users supply species pair trait data and divergence times. The fit of alternative models is compared in a likelihood framework.
Author: Sean A. S. Anderson and Jason T. Weir
Maintainer: Sean A. S. Anderson <seanas.anderson@mail.utoronto.ca>

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Package cSEM updated to version 0.2.0 with previous version 0.1.0 dated 2020-01-13

Title: Composite-Based Structural Equation Modeling
Description: Estimate, assess, test, and study linear, nonlinear, hierarchical and multigroup structural equation models using composite-based approaches and procedures, including estimation techniques such as partial least squares path modeling (PLS-PM) and its derivatives (PLSc, ordPLSc, robustPLSc), generalized structured component analysis (GSCA), generalized structured component analysis with uniqueness terms (GSCAm), generalized canonical correlation analysis (GCCA), principal component analysis (PCA), factor score regression (FSR) using sum score, regression or bartlett scores (including bias correction using Croon’s approach), as well as several tests and typical postestimation procedures (e.g., verify admissibility of the estimates, assess the model fit, test the model fit etc.).
Author: Manuel E. Rademaker [aut, cre] (<https://orcid.org/0000-0002-8902-3561>), Florian Schuberth [aut] (<https://orcid.org/0000-0002-2110-9086>), Tamara Schamberger [ctb] (<https://orcid.org/0000-0002-7845-784X>), Michael Klesel [ctb], Theo K. Dijkstra [ctb], Jörg Henseler [ctb] (<https://orcid.org/0000-0002-9736-3048>)
Maintainer: Manuel E. Rademaker <manuel.rademaker@uni-wuerzburg.de>

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More information about cSEM at CRAN
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Package crsmeta updated to version 0.3.0 with previous version 0.2.0 dated 2020-03-20

Title: Extract Coordinate System Metadata
Description: Obtain coordinate system metadata from various data formats. There are functions to extract a 'CRS' (coordinate reference system, <https://en.wikipedia.org/wiki/Spatial_reference_system>) in 'EPSG' (European Petroleum Survey Group, <http://www.epsg.org/>), 'PROJ4' <https://proj.org/>, or 'WKT2' (Well-Known Text 2, <http://docs.opengeospatial.org/is/12-063r5/12-063r5.html>) forms. This is purely for getting simple metadata from in-memory formats, please use other tools for out of memory data sources.
Author: Michael Sumner [aut, cre] (<https://orcid.org/0000-0002-2471-7511>)
Maintainer: Michael Sumner <mdsumner@gmail.com>

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Package CGGP updated to version 1.0.2 with previous version 1.0.1 dated 2019-06-14

Title: Composite Grid Gaussian Processes
Description: Run computer experiments using the adaptive composite grid algorithm with a Gaussian process model. The algorithm works best when running an experiment that can evaluate thousands of points from a deterministic computer simulation. This package is an implementation of a forthcoming paper by Plumlee, Erickson, Ankenman, et al. For a preprint of the paper, contact the maintainer of this package.
Author: Collin Erickson [aut, cre], Matthew Plumlee [aut]
Maintainer: Collin Erickson <collinberickson@gmail.com>

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More information about CGGP at CRAN
Permanent link

Package kntnr updated to version 0.4.3 with previous version 0.4.2 dated 2019-08-25

Title: R Client for 'kintone' API
Description: Retrieve data from 'kintone' (<https://www.kintone.com/>) via its API. 'kintone' is an enterprise application platform.
Author: Hiroaki Yutani [aut, cre] (<https://orcid.org/0000-0002-3385-7233>)
Maintainer: Hiroaki Yutani <yutani.ini@gmail.com>

Diff between kntnr versions 0.4.2 dated 2019-08-25 and 0.4.3 dated 2020-03-29

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