Tue, 08 Sep 2020

Package markovchain updated to version 0.8.5-2 with previous version 0.8.5 dated 2020-05-21

Title: Easy Handling Discrete Time Markov Chains
Description: Functions and S4 methods to create and manage discrete time Markov chains more easily. In addition functions to perform statistical (fitting and drawing random variates) and probabilistic (analysis of their structural proprieties) analysis are provided.
Author: Giorgio Alfredo Spedicato [aut, cre] (<https://orcid.org/0000-0002-0315-8888>), Tae Seung Kang [aut], Sai Bhargav Yalamanchi [aut], Mildenberger Thoralf [ctb] (<https://orcid.org/0000-0001-7242-1873>), Deepak Yadav [aut], Ignacio Cordón [aut] (<https://orcid.org/0000-0002-3152-0231>), Vandit Jain [ctb], Toni Giorgino [ctb] (<https://orcid.org/0000-0001-6449-0596>), Richèl J.C. Bilderbeek [ctb] (<https://orcid.org/0000-0003-1107-7049>), Daniel Ebbert [ctb] (<https://orcid.org/0000-0003-3666-7205>), Shreyash Maheshwari [ctb]
Maintainer: Giorgio Alfredo Spedicato <spedicato_giorgio@yahoo.it>

Diff between markovchain versions 0.8.5 dated 2020-05-21 and 0.8.5-2 dated 2020-09-08

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Package DHARMa updated to version 0.3.3.0 with previous version 0.3.2.0 dated 2020-06-18

Title: Residual Diagnostics for Hierarchical (Multi-Level / Mixed) Regression Models
Description: The 'DHARMa' package uses a simulation-based approach to create readily interpretable scaled (quantile) residuals for fitted (generalized) linear mixed models. Currently supported are linear and generalized linear (mixed) models from 'lme4' (classes 'lmerMod', 'glmerMod'), 'glmmTMB' and 'spaMM', generalized additive models ('gam' from 'mgcv'), 'glm' (including 'negbin' from 'MASS', but excluding quasi-distributions) and 'lm' model classes. Moreover, externally created simulations, e.g. posterior predictive simulations from Bayesian software such as 'JAGS', 'STAN', or 'BUGS' can be processed as well. The resulting residuals are standardized to values between 0 and 1 and can be interpreted as intuitively as residuals from a linear regression. The package also provides a number of plot and test functions for typical model misspecification problems, such as over/underdispersion, zero-inflation, and residual spatial and temporal autocorrelation.
Author: Florian Hartig [aut, cre] (<https://orcid.org/0000-0002-6255-9059>), Lukas Lohse [ctb]
Maintainer: Florian Hartig <florian.hartig@biologie.uni-regensburg.de>

Diff between DHARMa versions 0.3.2.0 dated 2020-06-18 and 0.3.3.0 dated 2020-09-08

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Package Rdrw updated to version 1.0.2 with previous version 1.0.1 dated 2020-05-19

Title: Univariate and Multivariate Damped Random Walk Processes
Description: We provide a toolbox to fit and simulate a univariate or multivariate damped random walk process that is also known as an Ornstein-Uhlenbeck process or a continuous-time autoregressive model of the first order, i.e., CAR(1) or CARMA(1, 0). This process is suitable for analyzing univariate or multivariate time series data with irregularly-spaced observation times and heteroscedastic measurement errors. When it comes to the multivariate case, the number of data points (measurements/observations) available at each observation time does not need to be the same, and the length of each time series can vary. The number of time series data sets that can be modeled simultaneously is limited to ten in this version of the package. We use Kalman-filtering to evaluate the resulting likelihood function, which leads to a scalable and efficient computation in finding maximum likelihood estimates of the model parameters or in drawing their posterior samples. Please pay attention to loading the data if this package is used for astronomical data analyses; see the details in the manual. Also see Hu and Tak (2020) <arXiv:2005.08049>.
Author: Zhirui Hu and Hyungsuk Tak
Maintainer: Hyungsuk Tak <hyungsuk.tak@gmail.com>

Diff between Rdrw versions 1.0.1 dated 2020-05-19 and 1.0.2 dated 2020-09-08

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Package maketools updated to version 1.1.0 with previous version 1.0.0 dated 2020-08-05

Title: Exploring and Testing the Toolchain and System Libraries
Description: A collection of helper functions that interface with the appropriate system utilities to learn about the build environment. Lets you explore 'make' rules to test the local configuration, or query 'pkg-config' to find compiler flags and libs needed for building packages with external dependencies. Also contains tools to analyze which libraries that a installed R package linked to by inspecting output from 'ldd' in combination with information from your distribution package manager, e.g. 'rpm' or 'dpkg'. Finally the package provides Windows-specific utilities to automatically find or install the suitable version of the 'Rtools' build environment, and diagnose some common problems.
Author: Jeroen Ooms [aut, cre, cph] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package rgbif updated to version 3.3.0 with previous version 3.2.0 dated 2020-07-23

Title: Interface to the Global 'Biodiversity' Information Facility API
Description: A programmatic interface to the Web Service methods provided by the Global Biodiversity Information Facility ('GBIF'; <https://www.gbif.org/developer/summary>). 'GBIF' is a database of species occurrence records from sources all over the globe. 'rgbif' includes functions for searching for taxonomic names, retrieving information on data providers, getting species occurrence records, getting counts of occurrence records, and using the 'GBIF' tile map service to make 'rasters' summarizing huge amounts of data.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Damiano Oldoni [aut] (<https://orcid.org/0000-0003-3445-7562>), Vijay Barve [ctb] (<https://orcid.org/0000-0002-4852-2567>), Peter Desmet [ctb] (<https://orcid.org/0000-0002-8442-8025>), Laurens Geffert [ctb], Dan Mcglinn [ctb] (<https://orcid.org/0000-0003-2359-3526>), Karthik Ram [ctb] (<https://orcid.org/0000-0002-0233-1757>), rOpenSci [fnd] (https://ropensci.org/)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package foghorn updated to version 1.3.1 with previous version 1.2.3 dated 2020-07-30

Title: Summarize CRAN Check Results in the Terminal
Description: The CRAN check results and where your package stands in the CRAN submission queue in your R terminal.
Author: Francois Michonneau [aut, cre], Ben Bolker [ctb]
Maintainer: Francois Michonneau <francois.michonneau@gmail.com>

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Package carat updated to version 1.3 with previous version 1.2 dated 2020-08-31

Title: Covariate-Adaptive Randomization for Clinical Trials
Description: Provides functions and command-line user interface to generate allocation sequence by covariate-adaptive randomization for clinical trials. The package currently supports six covariate-adaptive randomization procedures. Three hypothesis testing methods that are valid and robust under covariate-adaptive randomization are also available in the package to facilitate the inference for treatment effect under the included randomization procedures. Additionally, the package provides comprehensive and efficient tools to allow one to evaluate and compare the performance of randomization procedures and tests based on various criteria.
Author: Fuyi Tu [aut], Xiaoqing Ye [aut, cre], Wei Ma [aut, ths], Feifang Hu [aut, ths]
Maintainer: Xiaoqing Ye <ye_xiaoq@163.com>

Diff between carat versions 1.2 dated 2020-08-31 and 1.3 dated 2020-09-08

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Package systemfonts updated to version 0.3.1 with previous version 0.3.0 dated 2020-09-01

Title: System Native Font Finding
Description: Provides system native access to the font catalogue. As font handling varies between systems it is difficult to correctly locate installed fonts across different operating systems. The 'systemfonts' package provides bindings to the native libraries on Windows, macOS and Linux for finding font files that can then be used further by e.g. graphic devices. The main use is intended to be from compiled code but 'systemfonts' also provides access from R.
Author: Thomas Lin Pedersen [aut, cre] (<https://orcid.org/0000-0002-5147-4711>), Jeroen Ooms [aut] (<https://orcid.org/0000-0002-4035-0289>), Devon Govett [aut] (Author of font-manager), RStudio [cph]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@rstudio.com>

Diff between systemfonts versions 0.3.0 dated 2020-09-01 and 0.3.1 dated 2020-09-08

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Package quantreg updated to version 5.65 with previous version 5.61 dated 2020-07-09

Title: Quantile Regression
Description: Estimation and inference methods for models of conditional quantiles: Linear and nonlinear parametric and non-parametric (total variation penalized) models for conditional quantiles of a univariate response and several methods for handling censored survival data. Portfolio selection methods based on expected shortfall risk are also now included.
Author: Roger Koenker [cre, aut], Stephen Portnoy [ctb] (Contributions to Censored QR code), Pin Tian Ng [ctb] (Contributions to Sparse QR code), Blaise Melly [ctb] (Contributions to preprocessing code), Achim Zeileis [ctb] (Contributions to dynrq code essentially identical to his dynlm code), Philip Grosjean [ctb] (Contributions to nlrq code), Cleve Moler [ctb] (author of several linpack routines), Brian D Ripley [trl, ctb] (Initial (2001) R port from S (to my everlasting shame -- how could I have been so slow to adopt R!) and for numerous other suggestions and useful advice)
Maintainer: Roger Koenker <rkoenker@illinois.edu>

Diff between quantreg versions 5.61 dated 2020-07-09 and 5.65 dated 2020-09-08

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Package oro.nifti updated to version 0.11.0 with previous version 0.10.3 dated 2020-06-08

Title: Rigorous - 'NIfTI' + 'ANALYZE' + 'AFNI' : Input / Output
Description: Functions for the input/output and visualization of medical imaging data that follow either the 'ANALYZE', 'NIfTI' or 'AFNI' formats. This package is part of the Rigorous Analytics bundle.
Author: Brandon Whitcher [aut, cre], Volker Schmid [aut], Andrew Thornton [aut], Karsten Tabelow [ctb], Jon Clayden [ctb], John Muschelli [aut]
Maintainer: Brandon Whitcher <bwhitcher@gmail.com>

Diff between oro.nifti versions 0.10.3 dated 2020-06-08 and 0.11.0 dated 2020-09-08

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New package etm with initial version 1.1.1
Package: etm
Type: Package
Title: Empirical Transition Matrix
Version: 1.1.1
Authors@R: c(person("Mark", "Clements", role = c("aut", "cre"), email = "mark.clements@ki.se"), person("Arthur", "Allignol", role="aut"))
Description: The etm (empirical transition matrix) package permits to estimate the matrix of transition probabilities for any time-inhomogeneous multi-state model with finite state space using the Aalen-Johansen estimator. Functions for data preparation and for displaying are also included (Allignol et al., 2011 <doi:10.18637/jss.v038.i04>). Functionals of the Aalen-Johansen estimator, e.g., excess length-of-stay in an intermediate state, can also be computed (Allignol et al. 2011 <doi:10.1007/s00180-010-0200-x>).
Maintainer: Mark Clements <mark.clements@ki.se>
License: MIT + file LICENSE
Depends: R (>= 3.0.0)
Imports: survival, lattice, data.table, Rcpp (>= 0.11.4)
Suggests: ggplot2, kmi, geepack
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2020-09-08 06:24:32 UTC; marcle
Repository: CRAN
Date/Publication: 2020-09-08 13:40:03 UTC
Author: Mark Clements [aut, cre], Arthur Allignol [aut]

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New package TSdist with initial version 3.7
Package: TSdist
Type: Package
Title: Distance Measures for Time Series Data
Version: 3.7
Encoding: UTF-8
Date: 2020-08-31
Depends: R (>= 3.0.3), proxy
Imports: cluster, dtw, graphics, KernSmooth, locpol, longitudinalData, methods, pdc, stats, TSclust, xts, zoo
Suggests: testthat
Authors@R: c(person("Usue", "Mori", email = "usue.mori@ehu.eus",role = c("aut", "cre")),person("Alexander", "Mendiburu", role = c("aut")),person("Jose A.", "Lozano", role = c("aut")),person("Duarte", "Folgado", role = c("ctb")))
Description: A set of commonly used distance measures and some additional functions which, although initially not designed for this purpose, can be used to measure the dissimilarity between time series. These measures can be used to perform clustering, classification or other data mining tasks which require the definition of a distance measure between time series. U. Mori, A. Mendiburu and J.A. Lozano (2016), <doi:10.32614/RJ-2016-058>.
License: GPL (>= 2)
Packaged: 2020-09-07 16:18:10 UTC; usue
NeedsCompilation: yes
Repository: CRAN
Author: Usue Mori [aut, cre], Alexander Mendiburu [aut], Jose A. Lozano [aut], Duarte Folgado [ctb]
Maintainer: Usue Mori <usue.mori@ehu.eus>
Date/Publication: 2020-09-08 12:40:27 UTC

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Package RUVIIIC updated to version 1.0.17 with previous version 1.0.16 dated 2020-09-04

Title: RUV-III-C
Description: Variations of Remove Unwanted Variation-III (RUV-III) known as RUV-III-C (RUV-III Complete). RUV-III performs normalisation using negative control variables and replication. RUV-III-C extends this method to cases where the data contains missing values, by applying RUV-III to complete subsets of the data. Originally designed for SWATH-MS proteomics datasets. Poulos et al. (2020) <doi:10.1038/s41467-020-17641-3>.
Author: Rohan Shah [aut, cre], Sean Peters [ctb], Qing Zhong [ctb], Children's Medical Research Institute [cph]
Maintainer: Rohan Shah <rshah@cmri.org.au>

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New package qrandom with initial version 1.2.3
Package: qrandom
Type: Package
Title: True Random Numbers using the ANU Quantum Random Numbers Server
Version: 1.2.3
Date: 2020-09-07
Authors@R: c(person(given = "Siegfried", family = "Köstlmeier", role = c("aut", "cre"), email = "siegfried.koestlmeier@gmail.com", comment = c(ORCID = "0000-0002-7221-6981")), person(given = "Boris", family = "Steipe", role = c("ctb"), email = "boris.steipe@utoronto.ca", comment = c(ORCID = "0000-0002-1134-6758")))
Maintainer: Siegfried Köstlmeier <siegfried.koestlmeier@gmail.com>
Description: The ANU Quantum Random Number Generator provided by the Australian National University generates true random numbers in real-time by measuring the quantum fluctuations of the vacuum. This package offers an interface using their API. The electromagnetic field of the vacuum exhibits random fluctuations in phase and amplitude at all frequencies. By carefully measuring these fluctuations, one is able to generate ultra-high bandwidth random numbers. The quantum Random Number Generator is based on the papers by Symul et al., (2011) <doi:10.1063/1.3597793> and Haw, et al. (2015) <doi:10.1103/PhysRevApplied.3.054004>. The package offers functions to retrieve a sequence of random integers or hexadecimals and true random samples from a normal or uniform distribution.
License: GPL-2 | file LICENSE
Imports: curl, jsonlite, methods, Rmpfr, utils
Suggests: testthat
Encoding: UTF-8
LazyData: true
URL: https://qrng.anu.edu.au/
NeedsCompilation: no
Packaged: 2020-09-07 11:40:46 UTC; LocalAdmin
Author: Siegfried Köstlmeier [aut, cre] (<https://orcid.org/0000-0002-7221-6981>), Boris Steipe [ctb] (<https://orcid.org/0000-0002-1134-6758>)
Repository: CRAN
Date/Publication: 2020-09-08 12:40:03 UTC

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Package freedom updated to version 1.0.1 with previous version 1.0 dated 2020-09-02

Title: Demonstration of Disease Freedom (DDF)
Description: Implements the formulae required to calculate freedom from disease according to Cameron and Baldock (1998) <doi:10.1016/S0167-5877(97)00081-0>. These are the methods used at the Swedish national veterinary institute (SVA) to evaluate the performance of our nation animal disease surveillance programmes.
Author: Thomas Rosendal [aut, cre] (<https://orcid.org/0000-0002-6576-9668>)
Maintainer: Thomas Rosendal <trosendal@gmail.com>

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Package fracture updated to version 0.1.2 with previous version 0.1.0 dated 2020-09-03

Title: Convert Decimals to Fractions
Description: Provides functions for converting decimals to a matrix of numerators and denominators or a character vector of fractions. Supports mixed or improper fractions, finding common denominators for vectors of fractions, limiting denominators to powers of ten, and limiting denominators to a maximum value. Also includes helper functions for finding the least common multiple and greatest common divisor for a vector of integers. Implemented using C++ for maximum speed.
Author: Alexander Rossell Hayes [aut, cre, cph] (<https://orcid.org/0000-0001-9412-0457>)
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>

Diff between fracture versions 0.1.0 dated 2020-09-03 and 0.1.2 dated 2020-09-08

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More information about fracture at CRAN
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New package FDboost with initial version 1.0-0
Package: FDboost
Type: Package
Title: Boosting Functional Regression Models
Version: 1.0-0
Date: 2020-08-31
Authors@R: c(person("Sarah", "Brockhaus", role = "aut", email = "Sarah.Brockhaus@stat.uni-muenchen.de"), person("David", "Ruegamer", role = c("aut", "cre"), email = "david.ruegamer@gmail.com"), person("Almond", "Stoecker", role = "aut", email = "almond.stoecker@hu-berlin.de"), person("Torsten", "Hothorn", role = "ctb"), person("with contributions by many others", "(see inst/CONTRIBUTIONS)", role = "ctb"))
Maintainer: David Ruegamer <david.ruegamer@gmail.com>
Description: Regression models for functional data, i.e., scalar-on-function, function-on-scalar and function-on-function regression models, are fitted by a component-wise gradient boosting algorithm. For a manual on how to use 'FDboost', see Brockhaus, Ruegamer, Greven (2017) <doi:10.18637/jss.v094.i10>.
Depends: R (>= 3.5.0), mboost (>= 2.9-0)
Imports: methods, graphics, grDevices, utils, stats, Matrix, gamboostLSS (>= 2.0-0), stabs, mgcv, MASS, zoo
Suggests: fda, fields, ggplot2, maps, mapdata, knitr, refund, testthat
License: GPL-2
Packaged: 2020-09-08 07:53:29 UTC; david
Collate: 'aaa.R' 'FDboost-package.R' 'FDboost.R' 'baselearners.R' 'baselearnersX.R' 'bootstrapCIs.R' 'constrainedX.R' 'crossvalidation.R' 'FDboostLSS.R' 'hmatrix.R' 'methods.R' 'stabsel.R' 'utilityFunctions.R'
RoxygenNote: 7.1.1
BugReports: https://github.com/boost-R/FDboost/issues
URL: https://github.com/boost-R/FDboost
VignetteBuilder: knitr
NeedsCompilation: no
Author: Sarah Brockhaus [aut], David Ruegamer [aut, cre], Almond Stoecker [aut], Torsten Hothorn [ctb], with contributions by many others (see inst/CONTRIBUTIONS) [ctb]
Repository: CRAN
Date/Publication: 2020-09-08 12:40:40 UTC

More information about FDboost at CRAN
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Package c212 updated to version 0.98 with previous version 0.97 dated 2020-09-03

Title: Methods for Detecting Safety Signals in Clinical Trials Using Body-Systems (System Organ Classes)
Description: Methods for detecting safety signals in clinical trials using groupings of adverse events by body-system or system organ class. This work was supported by the Engineering and Physical Sciences Research Council (UK) (EPSRC) [award reference 1521741] and Frontier Science (Scotland) Ltd. The package title c212 is in reference to the original Engineering and Physical Sciences Research Council (UK) funded project which was named CASE 2/12.
Author: Raymond Carragher [aut, cre] (<https://orcid.org/0000-0002-0120-625X>)
Maintainer: Raymond Carragher <rcarragh@gmail.com>

Diff between c212 versions 0.97 dated 2020-09-03 and 0.98 dated 2020-09-08

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Package BayesSUR updated to version 1.2-2 with previous version 1.2-1 dated 2020-07-19

Title: Bayesian Seemingly Unrelated Regression
Description: Bayesian seemingly unrelated regression with general variable selection and dense/sparse covariance matrix. The sparse seemingly unrelated regression is described in Banterle et al. (2018) <doi:10.1101/467019>.
Author: Marco Banterle [aut], Zhi Zhao [aut, cre], Leonardo Bottolo [ctb], Sylvia Richardson [ctb], Waldir Leoncio [ctb], Alex Lewin [aut], Manuela Zucknick [ctb]
Maintainer: Zhi Zhao <zhi.zhao@medisin.uio.no>

Diff between BayesSUR versions 1.2-1 dated 2020-07-19 and 1.2-2 dated 2020-09-08

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New package wrTopDownFrag with initial version 1.0.2
Package: wrTopDownFrag
Title: Internal Fragment Identification from Top-Down Mass Spectrometry
Version: 1.0.2
Authors@R: person("Wolfgang", "Raffelsberger", email = "w.raffelsberger@unistra.fr", role = c("aut", "cre"))
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@unistra.fr>
Description: Top-Down mass spectrometry aims to identify entire proteins as well as their (post-translational) modifications or ions bound (eg Chen et al (2018) <doi:10.1021/acs.analchem.7b04747>). The pattern of internal fragments (Haverland et al (2017) <doi:10.1007/s13361-017-1635-x>) may reveal important information about the original structure of the proteins studied (Skinner et al (2018) <doi:10.1038/nchembio.2515> and Li et al (2018) <doi:10.1038/nchem.2908>). However, the number of possible internal fragments gets huge with longer proteins and subsequent identification of internal fragments remains challenging, in particular since the the accuracy of measurements with current mass spectrometers represents a limiting factor. This package attempts to deal with the complexity of internal fragments and allows identification of terminal and internal fragments from deconvoluted mass-spectrometry data.
Depends: R (>= 3.1.0)
VignetteBuilder: knitr, rmarkdown
Imports: graphics, grDevices, stats, utils, wrMisc, wrProteo
Suggests: BiocParallel, boot, data.tree, fdrtool, knitr, limma, parallel, preprocessCore, RColorBrewer, rmarkdown, wrGraph
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-01 09:17:27 UTC; wraff
Repository: CRAN
Date/Publication: 2020-09-08 08:10:02 UTC

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Package wrGraph updated to version 1.0.4 with previous version 1.0.2 dated 2020-07-09

Title: Graphics in the Context of Analyzing High-Throughput Data
Description: Additional options for making graphics in the context of analyzing high-throughput data are available here. This includes automatic segmenting of the current device (eg window) to accommodate multiple new plots, automatic checking for optimal location of legends in plots, small histograms to insert as legends, histograms re-transforming axis labels to linear when plotting log2-transformed data, a violin-plot <doi:10.1080/00031305.1998.10480559> function for a wide variety of input-formats, principal components analysis (PCA) <doi:10.1080/14786440109462720> with bag-plots <doi:10.1080/00031305.1999.10474494> to highlight and compare the center areas for groups of samples, generic MA-plots (differential- versus average-value plots) <doi:10.1093/nar/30.4.e15>, staggered count plots and generation of mouse-over interactive html pages.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@unistra.fr>

Diff between wrGraph versions 1.0.2 dated 2020-07-09 and 1.0.4 dated 2020-09-08

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New package vacuum with initial version 0.1.0
Package: vacuum
Type: Package
Title: Tukey's Vacuum Cleaner
Version: 0.1.0
Author: Ron Sielinski
Maintainer: Ron Sielinski <sielinski@hotmail.com>
Description: An implementation of three procedures developed by John Tukey: FUNOP (FUll NOrmal Plot), FUNOR-FUNOM (FUll NOrmal Rejection-FUll NOrmal Modification), and vacuum cleaner. Combined, they provide a way to identify, treat, and analyze outliers in two-way (i.e., contingency) tables, as described in his landmark paper "The Future of Data Analysis", Tukey, John W. (1962) <https://www.jstor.org/stable/2237638>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat, ggplot2, knitr, tidyr, rmarkdown
Imports: dplyr, magrittr
Depends: R (>= 2.10)
URL: https://github.com/Sielinski/vacuum
BugReports: https://github.com/Sielinski/vacuum/issues
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-09-01 14:13:41 UTC; ronsiel
Repository: CRAN
Date/Publication: 2020-09-08 08:50:02 UTC

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Package text.alignment updated to version 0.1.2 with previous version 0.1.1 dated 2020-04-23

Title: Text Alignment with Smith-Waterman
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.
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]
Maintainer: Jan Wijffels <jan.wijffels@vub.be>

Diff between text.alignment versions 0.1.1 dated 2020-04-23 and 0.1.2 dated 2020-09-08

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New package qape with initial version 1.0
Package: qape
Type: Package
Title: Quantile Absolute Prediction Error
Version: 1.0
Date: 2020-09-01
Author: Alicja Wolny-Dominiak, Tomasz Zadlo
Maintainer: Alicja Wolny-Dominiak <alicja.wolny-dominiak@ue.katowice.pl>
Imports: lme4, Matrix, mvtnorm, plyr, dplyr
Depends: R (>= 3.5.0)
Description: Estimates Quantile Absolute Prediction Error using bootstrap procedures. The residual, parametric and double bootstrap is used.
License: GPL-2
NeedsCompilation: no
Packaged: 2020-09-01 12:42:04 UTC; woali
Repository: CRAN
Date/Publication: 2020-09-08 08:20:02 UTC

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New package psrwe with initial version 1.2
Package: psrwe
Title: PS-Integrated Methods for Incorporating RWE in Clinical Studies
Version: 1.2
Author: Chenguang Wang [aut, cre] Trustees of Columbia University [cph] (tools/make_cpp.R, R/stanmodels.R)
Maintainer: Chenguang Wang <cwang68@jhmi.edu>
Description: High-quality real-world data can be transformed into scientific real-world evidence (RWE) for regulatory and healthcare decision-making using proven analytical methods and techniques. For example, propensity score (PS) methodology can be applied to pre-select a subset of real-world data containing patients that are similar to those in the current clinical study in terms of covariates, and to stratify the selected patients together with those in the current study into more homogeneous strata. Then, methods such as power prior approach or composite likelihood approach can be applied in each stratum to draw inference for the parameters of interest. This package provides functions that implement the PS-integrated RWE analysis methods proposed in Wang et al. (2019) <doi:10.1080/10543406.2019.1657133>, Wang et al. (2020) <doi:10.1080/10543406.2019.1684309> and Chen et al. (2020) <doi:10.1080/10543406.2020.1730877>.
Depends: methods, R (>= 4.0), rstan (>= 2.19.3), Rcpp (>= 1.0.5)
License: GPL (>= 3)
LinkingTo: BH (>= 1.72.0-3), rstan (>= 2.19.3), Rcpp (>= 1.0.5), RcppEigen (>= 0.3.3.7.0), StanHeaders (>= 2.21.0-5)
RcppModules: stan_fit4powerp_mod, stan_fit4powerps_mod, stan_fit4powerpsbinary_mod, stan_fit4prior_mod
Imports: parallel (>= 3.2), cowplot (>= 1.0.0), dplyr (>= 0.8.5), ggplot2 (>= 3.3.2), randomForest (>= 4.6-14)
Suggests: knitr, markdown
Encoding: UTF-8
LazyData: true
ByteCompile: true
SystemRequirements: GNU make
NeedsCompilation: yes
RoxygenNote: 7.1.0
VignetteBuilder: knitr
Packaged: 2020-09-01 12:44:22 UTC; cwang68
Repository: CRAN
Date/Publication: 2020-09-08 08:20:08 UTC

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Package mlr3tuning updated to version 0.3.0 with previous version 0.2.0 dated 2020-07-28

Title: Tuning for 'mlr3'
Description: Implements methods for hyperparameter tuning with 'mlr3', e.g. Grid Search, Random Search, or Simulated Annealing. Various termination criteria can be set and combined. The class 'AutoTuner' provides a convenient way to perform nested resampling in combination with 'mlr3'.
Author: Marc Becker [cre, aut] (<https://orcid.org/0000-0002-8115-0400>), Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>), Jakob Richter [aut] (<https://orcid.org/0000-0003-4481-5554>), Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Daniel Schalk [aut] (<https://orcid.org/0000-0003-0950-1947>)
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3tuning versions 0.2.0 dated 2020-07-28 and 0.3.0 dated 2020-09-08

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New package experDesign with initial version 0.0.2
Package: experDesign
Title: Design Experiments for Batches
Version: 0.0.2
Authors@R: person(given = "Lluís", family = "Revilla Sancho", role = c("aut", "cre"), email = "lluis.revilla@gmail.com", comment = c(ORCID = "0000-0001-9747-2570"))
Description: Distributes samples in batches while making batches homogeneous according to their description. Allows for an arbitrary number of variables, both numeric and categorical. For quality control it provides functions to subset a representative sample.
License: MIT + file LICENSE
URL: https://github.com/llrs/experDesign
BugReports: https://github.com/llrs/experDesign/issues
Depends: R (>= 3.5.0)
Imports: methods, stats
Suggests: knitr, rmarkdown, testthat (>= 2.1.0), covr, BiocStyle, MASS, spelling
biocViews:
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: false
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-01 11:50:28 UTC; lluis
Author: Lluís Revilla Sancho [aut, cre] (<https://orcid.org/0000-0001-9747-2570>)
Maintainer: Lluís Revilla Sancho <lluis.revilla@gmail.com>
Repository: CRAN
Date/Publication: 2020-09-08 08:10:17 UTC

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Package double.truncation updated to version 1.7 with previous version 1.6 dated 2020-08-27

Title: Analysis of Doubly-Truncated Data
Description: Likelihood-based inference methods with doubly-truncated data are developed under various models. Nonparametric models are based on Efron and Petrosian (1999) <doi:10.1080/01621459.1999.10474187> and Emura, Konno, and Michimae (2015) <doi:10.1007/s10985-014-9297-5>. Parametric models from the special exponential family (SEF) are based on Hu and Emura (2015) <doi:10.1007/s00180-015-0564-z> and Emura, Hu and Konno (2017) <doi:10.1007/s00362-015-0730-y>. The parametric location-scale models are based on Dorre et al. (2020) <doi:10.1007/s00180-020-01027-6>.
Author: Takeshi Emura, Ya-Hsuan Hu, Chung-Yan Huang
Maintainer: Takeshi Emura <takeshiemura@gmail.com>

Diff between double.truncation versions 1.6 dated 2020-08-27 and 1.7 dated 2020-09-08

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Package urlshorteneR updated to version 1.3.0 with previous version 1.1.2 dated 2019-09-07

Title: R Wrapper for the 'Bit.ly' and 'Is.gd'/'v.gd' URL Shortening Services
Description: Allows using two URL shortening services, which also provide expanding and analytic functions. Specifically developed for 'Bit.ly' (which requires OAuth2) and 'is.gd' (no API key).
Author: John Malc [aut, cre] (@dmpe), Andrea Dodet [ctb] (@andodet)
Maintainer: John Malc <cincenko@outlook.com>

Diff between urlshorteneR versions 1.1.2 dated 2019-09-07 and 1.3.0 dated 2020-09-08

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New package LIHKGr with initial version 0.1.0
Package: LIHKGr
Title: Scrape Text Data from LIHKG
Version: 0.1.0
Authors@R: person(given = "Justin Chun-ting", family = "Ho", role = c("aut", "cre"), email = "Justin.Ho@ed.ac.uk", comment = c(ORCID = "0000-0002-7884-1059"))
Description: The goal of 'LIHKGr' is to scrape text data from LIHKG (<https://lihkg.com/>), the Hong Kong version of Reddit. LIHKG is currently protected by Google's 'reCAPTCHA', this package currently builds on 'RSelenium' and adopts a semi-manual approach to bypass it.
License: GPL-3
URL: https://github.com/justinchuntingho/LIHKGr
BugReports: https://github.com/justinchuntingho/LIHKGr/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1.9000
Imports: R6, purrr, tibble (>= 3.0.3), dplyr, RSelenium, raster, magrittr, rvest, xml2
NeedsCompilation: no
Packaged: 2020-08-28 12:30:23 UTC; justin
Author: Justin Chun-ting Ho [aut, cre] (<https://orcid.org/0000-0002-7884-1059>)
Maintainer: Justin Chun-ting Ho <Justin.Ho@ed.ac.uk>
Repository: CRAN
Date/Publication: 2020-09-08 08:00:03 UTC

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Package cowplot updated to version 1.1.0 with previous version 1.0.0 dated 2019-07-11

Title: Streamlined Plot Theme and Plot Annotations for 'ggplot2'
Description: Provides various features that help with creating publication-quality figures with 'ggplot2', such as a set of themes, functions to align plots and arrange them into complex compound figures, and functions that make it easy to annotate plots and or mix plots with images. The package was originally written for internal use in the Wilke lab, hence the name (Claus O. Wilke's plot package). It has also been used extensively in the book Fundamentals of Data Visualization.
Author: Claus O. Wilke [aut, cre] (<https://orcid.org/0000-0002-7470-9261>)
Maintainer: Claus O. Wilke <wilke@austin.utexas.edu>

Diff between cowplot versions 1.0.0 dated 2019-07-11 and 1.1.0 dated 2020-09-08

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Package AQuadtree updated to version 1.0.2 with previous version 1.0.1 dated 2020-07-08

Title: Confidentiality of Spatial Point Data
Description: Provides an automatic aggregation tool to manage point data privacy, intended to be helpful for the production of official spatial data and for researchers. The package pursues the data accuracy at the smallest possible areas preventing individual information disclosure. The methodology, based on hierarchical geographic data structures performs aggregation and local suppression of point data to ensure privacy as described in Lagonigro, R., Oller, R., Martori J.C. (2017) <doi:10.2436/20.8080.02.55>. The data structures are created following the guidelines for grid datasets from the European Forum for Geography and Statistics.
Author: Raymond Lagonigro [aut, cre] (<https://orcid.org/0000-0002-8091-4296>), Ramon Oller [aut] (<https://orcid.org/0000-0002-4333-0021>), Joan Carles Martori [aut] (<https://orcid.org/0000-0002-8400-5487>)
Maintainer: Raymond Lagonigro <raymond.lagonigro@uvic.cat>

Diff between AQuadtree versions 1.0.1 dated 2020-07-08 and 1.0.2 dated 2020-09-08

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New package tscount with initial version 1.4.3
Package: tscount
Type: Package
Title: Analysis of Count Time Series
Version: 1.4.3
Date: 2020-09-07
Authors@R: c( person("Tobias", "Liboschik", role=c("aut", "cre"), email="liboschik@statistik.tu-dortmund.de"), person("Roland", "Fried", role=c("aut"), email="fried@statistik.tu-dortmund.de"), person("Konstantinos", "Fokianos", role=c("aut"), email="fokianos@ucy.ac.cy"), person("Philipp", "Probst", role=c("aut"), email="philipp.probst@tu-dortmund.de"), person("Jonathan", "Rathjens", role=c("ctb"), email="jonathan.rathjens@tu-dortmund.de"))
Description: Likelihood-based methods for model fitting and assessment, prediction and intervention analysis of count time series following generalized linear models are provided. Models with the identity and with the logarithmic link function are allowed. The conditional distribution can be Poisson or Negative Binomial.
Imports: parallel, ltsa
Suggests: Matrix, xtable, gamlss.data, surveillance
License: GPL-2 | GPL-3
URL: http://tscount.r-forge.r-project.org
ByteCompile: true
NeedsCompilation: no
LazyData: true
Encoding: UTF-8
Packaged: 2020-09-07 20:29:11 UTC; Tobias
Author: Tobias Liboschik [aut, cre], Roland Fried [aut], Konstantinos Fokianos [aut], Philipp Probst [aut], Jonathan Rathjens [ctb]
Maintainer: Tobias Liboschik <liboschik@statistik.tu-dortmund.de>
Repository: CRAN
Date/Publication: 2020-09-08 07:00:03 UTC

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Package hypr updated to version 0.1.10 with previous version 0.1.9 dated 2020-07-29

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

Diff between hypr versions 0.1.9 dated 2020-07-29 and 0.1.10 dated 2020-09-08

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Package glca updated to version 1.0.1 with previous version 1.0.0 dated 2020-09-07

Title: Latent Class Analysis with Group Variable
Description: Fits latent class analysis (LCA) including group variable and covariates. The group variable can be handled either by multilevel LCA described in Vermunt (2003) <DOI:10.1111/j.0081-1750.2003.t01-1-00131.x> or standard LCA at each level of group variable. The covariates can be incorporated in the form of logistic regression (Bandeen-Roche et al. (1997) <DOI:10.1080/01621459.1997.10473658>).
Author: Youngsun Kim [aut, cre], Hwan Chung [aut]
Maintainer: Youngsun Kim <kim0sun@korea.ac.kr>

Diff between glca versions 1.0.0 dated 2020-09-07 and 1.0.1 dated 2020-09-08

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Package dbx updated to version 0.2.7 with previous version 0.2.6 dated 2020-06-15

Title: A Fast, Easy-to-Use Database Interface
Description: Provides select, insert, update, upsert, and delete database operations. Supports 'PostgreSQL', 'MySQL', 'SQLite', and more, and plays nicely with the 'DBI' package.
Author: Andrew Kane [aut, cre]
Maintainer: Andrew Kane <andrew@chartkick.com>

Diff between dbx versions 0.2.6 dated 2020-06-15 and 0.2.7 dated 2020-09-08

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Package SightabilityModel updated to version 1.4.1 with previous version 1.4.0 dated 2020-07-17

Title: Wildlife Sightability Modeling
Description: Uses logistic regression to model the probability of detection as a function of covariates. This model is then used with observational survey data to estimate population size, while accounting for uncertain detection. See Steinhorst and Samuel (1989).
Author: Fieberg John [aut], Schwarz Carl James [aut, cre]
Maintainer: Schwarz Carl James <cschwarz.stat.sfu.ca@gmail.com>

Diff between SightabilityModel versions 1.4.0 dated 2020-07-17 and 1.4.1 dated 2020-09-08

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Package lefko3 (with last version 2.3.0) was removed from CRAN

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

2020-08-24 2.3.0
2020-08-03 2.2.2

Permanent link
Package rNOMADS updated to version 2.5.0 with previous version 2.4.2 dated 2020-02-29

Title: An R Interface to the NOAA Operational Model Archive and Distribution System
Description: An interface to the National Oceanic and Atmospheric Administration's Operational Model Archive and Distribution System (NOMADS, see <http://nomads.ncep.noaa.gov/> for more information) that allows R users to quickly and efficiently download global and regional weather model data for processing. rNOMADS currently supports a variety of models ranging from global weather data to an altitude of over 40 km, to high resolution regional weather models, to wave and sea ice models. It can also retrieve some archived models. rNOMADS can retrieve binary data in grib format as well as import ascii data directly into R by interfacing with the GrADS-DODS system.
Author: Daniel C. Bowman [aut, cre]
Maintainer: Daniel C. Bowman <danny.c.bowman@gmail.com>

Diff between rNOMADS versions 2.4.2 dated 2020-02-29 and 2.5.0 dated 2020-09-08

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 man/CrawlModels.Rd         |    2 -
 man/DODSGrab.Rd            |    2 -
 man/GetClosestForecasts.Rd |    2 -
 man/GetDODSDates.Rd        |   11 +------
 man/GetDODSModelRunInfo.Rd |    2 -
 man/GetDODSModelRuns.Rd    |    9 -----
 man/GribGrab.Rd            |    2 -
 man/GribInfo.Rd            |    2 -
 man/LinkExtractor.Rd       |    2 -
 man/MagnitudeAzimuth.Rd    |    2 -
 man/ModelGrid.Rd           |    2 -
 man/NOMADSArchiveList.Rd   |    8 +----
 man/NOMADSRealTimeList.Rd  |    2 -
 man/ParseModelPage.Rd      |    2 -
 man/PlotWindProfile.Rd     |    4 +-
 man/ReadGrib.Rd            |    2 -
 man/SanitizeURL.Rd         |    2 -
 man/SubsetNOMADS.Rd        |    2 -
 man/WebCrawler.Rd          |    2 -
 29 files changed, 103 insertions(+), 161 deletions(-)

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Package neonstore updated to version 0.2.2 with previous version 0.2.1 dated 2020-08-29

Title: NEON Data Store
Description: The National Ecological Observatory Network (NEON) provides access to its numerous data products through its REST API, <https://data.neonscience.org/data-api/>. This package provides a high-level user interface for downloading and storing NEON data products. While each of NEON data products consist of hundreds or thousands of individual files. Unlike 'neonUtilities', this package will avoid repeated downloading, provides persistent storage, and improves performance. This package does not provide expose interactions with the individual low-level NEON API endpoints.
Author: Carl Boettiger [aut, cre] (<https://orcid.org/0000-0002-1642-628X>), Quinn Thomas [ctb], Christine Laney [aut] (<https://orcid.org/0000-0002-4944-2083>)
Maintainer: Carl Boettiger <cboettig@gmail.com>

Diff between neonstore versions 0.2.1 dated 2020-08-29 and 0.2.2 dated 2020-09-08

 neonstore-0.2.1/neonstore/R/neon_store.R                   |only
 neonstore-0.2.1/neonstore/man/neon_store.Rd                |only
 neonstore-0.2.2/neonstore/DESCRIPTION                      |    8 
 neonstore-0.2.2/neonstore/MD5                              |   44 ++--
 neonstore-0.2.2/neonstore/NAMESPACE                        |    6 
 neonstore-0.2.2/neonstore/NEWS.md                          |   11 +
 neonstore-0.2.2/neonstore/R/neon_dir.R                     |    4 
 neonstore-0.2.2/neonstore/R/neon_download.R                |   36 ++-
 neonstore-0.2.2/neonstore/R/neon_export.R                  |   35 +++
 neonstore-0.2.2/neonstore/R/neon_filename_parser.R         |   88 ++++++---
 neonstore-0.2.2/neonstore/R/neon_index.R                   |   25 ++
 neonstore-0.2.2/neonstore/R/neon_read.R                    |   77 ++++++--
 neonstore-0.2.2/neonstore/README.md                        |  120 +++++++------
 neonstore-0.2.2/neonstore/inst/WORDLIST                    |   18 +
 neonstore-0.2.2/neonstore/man/neon_dir.Rd                  |    4 
 neonstore-0.2.2/neonstore/man/neon_download.Rd             |    5 
 neonstore-0.2.2/neonstore/man/neon_download_s3.Rd          |    5 
 neonstore-0.2.2/neonstore/man/neon_export.Rd               |   15 +
 neonstore-0.2.2/neonstore/man/neon_filename_parser.Rd      |   87 ++++++---
 neonstore-0.2.2/neonstore/man/neon_import.Rd               |    7 
 neonstore-0.2.2/neonstore/man/neon_index.Rd                |   20 ++
 neonstore-0.2.2/neonstore/man/neon_read.Rd                 |   33 +++
 neonstore-0.2.2/neonstore/tests/testthat/test-additional.R |   49 +++++
 neonstore-0.2.2/neonstore/tests/testthat/test-store.R      |   20 --
 24 files changed, 514 insertions(+), 203 deletions(-)

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Package contentid updated to version 0.0.7 with previous version 0.0.6 dated 2020-08-31

Title: An Interface for Content-Based Identifiers
Description: An interface for creating, registering, and resolving content-based identifiers for data management. Content-based identifiers rely on the 'cryptographic' hashes to refer to the files they identify, thus, anyone possessing the file can compute the identifier using a well-known standard algorithm, such as 'SHA256'. By registering a URL at which the content is accessible to a public archive, such as <https://hash-archive.org>, the content identifier can serve many functions typically associated with A Digital Object Identifier ('DOI'). Unlike location-based identifiers like 'DOIs', content-based identifiers permit the same content to be registered in many locations.
Author: Carl Boettiger [aut, cre] (<https://orcid.org/0000-0002-1642-628X>), Jorrit Poelen [aut] (<https://orcid.org/0000-0003-3138-4118>), NSF OAC 1839201 [fnd] (https://www.nsf.gov/awardsearch/showAward?AWD_ID=1839201)
Maintainer: Carl Boettiger <cboettig@gmail.com>

Diff between contentid versions 0.0.6 dated 2020-08-31 and 0.0.7 dated 2020-09-08

 DESCRIPTION                      |    7 +++---
 MD5                              |   31 +++++++++++++++++------------
 NEWS.md                          |    7 ++++++
 R/content_id.R                   |   33 +++++++++++++++++++++----------
 R/local_registry.R               |    2 -
 R/resolve.R                      |    2 -
 R/retrieve.R                     |   33 +++++++++++++++++--------------
 R/store.R                        |   41 ++++++++++++++++++++-------------------
 README.md                        |    2 +
 build                            |only
 inst/WORDLIST                    |   33 +++++++++++++++++++++++++++++++
 inst/doc                         |only
 man/content_id.Rd                |   20 +++++++++++++++----
 tests/testthat/test-content_id.R |    6 ++---
 tests/testthat/test-multihash.R  |    4 +--
 tests/testthat/test-pin.R        |    4 +--
 vignettes                        |only
 17 files changed, 152 insertions(+), 73 deletions(-)

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Package conjurer updated to version 1.2.0 with previous version 1.1.1 dated 2020-03-21

Title: A Parametric Method for Generating Synthetic Data
Description: Builds synthetic data applicable across multiple domains. This package also provides flexibility to control data distribution to make it relevant to many industry examples.
Author: Sidharth Macherla [aut, cre] (<https://orcid.org/0000-0002-4825-2026>)
Maintainer: Sidharth Macherla <msidharthrasik@gmail.com>

Diff between conjurer versions 1.1.1 dated 2020-03-21 and 1.2.0 dated 2020-09-08

 DESCRIPTION                            |   10 -
 MD5                                    |   20 +-
 NAMESPACE                              |    1 
 NEWS.md                                |   10 -
 R/buildDistr.R                         |   22 ++-
 R/buildNum.R                           |only
 inst/doc/introduction_to_conjurer.R    |   48 ++++--
 inst/doc/introduction_to_conjurer.Rmd  |   40 ++++-
 inst/doc/introduction_to_conjurer.html |  233 ++++++++++++++++++---------------
 man/buildDistr.Rd                      |    4 
 man/buildNum.Rd                        |only
 vignettes/introduction_to_conjurer.Rmd |   40 ++++-
 12 files changed, 272 insertions(+), 156 deletions(-)

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