Tue, 14 Apr 2020

Package zoltr updated to version 0.5.1 with previous version 0.5.0 dated 2020-04-10

Title: Interface to the 'Zoltar' Forecast Repository API
Description: 'Zoltar' <https://www.zoltardata.com/> is a website that provides a repository of model forecast results in a standardized format and a central location. It supports storing, retrieving, comparing, and analyzing time series forecasts for prediction challenges of interest to the modeling community. This package provides functions for working with the 'Zoltar' API, including connecting and authenticating, getting information about projects, models, and forecasts, deleting and uploading forecast data, and downloading scores.
Author: Matthew Cornell [aut, cre], Nicholas Reich [aut, cph]
Maintainer: Matthew Cornell <cornell@umass.edu>

Diff between zoltr versions 0.5.0 dated 2020-04-10 and 0.5.1 dated 2020-04-14

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New package modelDown with initial version 1.1
Package: modelDown
Title: Make Static HTML Website for Predictive Models
Version: 1.1
Authors@R: c(person("Przemysław", "Biecek", email = "przemyslaw.biecek@gmail.com", role = c("aut")), person("Magda", "Tatarynowicz", email = "magda.tatarynowicz@gmail.com", role = c("aut")), person("Kamil", "Romaszko", email = "kamil.romaszko@gmail.com", role = c("aut", "cre")), person("Mateusz", "Urbański", email = "matiszak@gmail.com", role = c("aut")))
Description: Website generator with HTML summaries for predictive models. This package uses 'DALEX' explainers to describe global model behavior. We can see how well models behave (tabs: Model Performance, Auditor), how much each variable contributes to predictions (tabs: Variable Response) and which variables are the most important for a given model (tabs: Variable Importance). We can also compare Concept Drift for pairs of models (tabs: Drifter). Additionally, data available on the website can be easily recreated in current R session. Work on this package was financially supported by the NCN Opus grant 2017/27/B/ST6/01307 at Warsaw University of Technology, Faculty of Mathematics and Information Science.
Depends: R (>= 3.4.0)
License: Apache License 2.0
Encoding: UTF-8
LazyData: true
Imports: DALEX (>= 1.0), auditor (>= 0.3.0), ggplot2 (>= 3.1.0), whisker (>= 0.3-2), DT (>= 0.4), kableExtra (>= 0.9.0), psych (>= 1.8.4), archivist (>= 2.1.0), svglite (>= 1.2.1), devtools (>= 2.0.1), breakDown (>= 0.1.6), drifter (>= 0.2.1)
Suggests: ranger, testthat, useful
RoxygenNote: 7.1.0
URL: https://github.com/ModelOriented/modelDown
BugReports: https://github.com/ModelOriented/modelDown/issues
NeedsCompilation: no
Packaged: 2020-04-11 16:08:24 UTC; kromash
Author: Przemysław Biecek [aut], Magda Tatarynowicz [aut], Kamil Romaszko [aut, cre], Mateusz Urbański [aut]
Maintainer: Kamil Romaszko <kamil.romaszko@gmail.com>
Repository: CRAN
Date/Publication: 2020-04-15 00:30:03 UTC

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New package FLAME with initial version 2.0.0
Package: FLAME
Type: Package
Title: Interpretable Matching for Causal Inference
Version: 2.0.0
Authors@R: c(person(given = 'Vittorio', family = 'Orlandi', role = c('aut', 'cre'), email = 'almost.matching.exactly@gmail.com'), person(given = 'Sudeepa', family = 'Roy', role = 'aut', email = 'sudeepa@cs.duke.edu'), person(given = 'Cynthia', family = 'Rudin', role = 'aut', email = 'cynthia@cs.duke.edu'), person(given = 'Alexander', family = 'Volfovsky', role = 'aut', email = 'alexander.volfovsky@duke.edu'))
BugReports: https://github.com/vittorioorlandi/FLAME/issues
Description: Efficient implementations of the algorithms in the Almost-Matching-Exactly framework for interpretable matching in causal inference. These algorithms match units via a learned, weighted Hamming distance that determines which covariates are more important to match on. For more information and examples, see the Almost-Matching-Exactly website.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, magrittr, mice, glmnet, gmp, rlang, tidyr, xgboost, devtools
RoxygenNote: 7.0.2
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-04-12 02:56:47 UTC; vittorioorlandi
Author: Vittorio Orlandi [aut, cre], Sudeepa Roy [aut], Cynthia Rudin [aut], Alexander Volfovsky [aut]
Maintainer: Vittorio Orlandi <almost.matching.exactly@gmail.com>
Repository: CRAN
Date/Publication: 2020-04-15 00:30:06 UTC

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New package DCPO with initial version 0.5.1
Package: DCPO
Version: 0.5.1
Title: Dynamic Comparative Public Opinion
Description: Estimates latent variables of public opinion cross-nationally and over time from sparse and incomparable survey data. 'DCPO' uses a population-level graded response model with country-specific item bias terms. Sampling is conducted with 'Stan'. References: Solt (2020) <doi:10.31235/osf.io/d5n9p>.
Authors@R: c( person("Frederick", "Solt", email = "frederick-solt@uiowa.edu", role = c("aut", "cre")), person("Trustees of", "Columbia University", role = "cph"))
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
ByteCompile: true
Depends: R (>= 3.4.0), Rcpp (>= 0.12.17), methods
Imports: rstan (>= 2.18.1), rstantools (>= 2.0.0), beepr, dplyr, forcats, janitor, purrr, tibble, tidyr
LinkingTo: StanHeaders (>= 2.18.0), rstan (>= 2.18.1), BH (>= 1.66.0-1), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.4.0)
Suggests: knitr
SystemRequirements: GNU make
NeedsCompilation: yes
RoxygenNote: 7.0.0
Biarch: true
Packaged: 2020-04-09 20:17:15 UTC; fredsolt
Author: Frederick Solt [aut, cre], Trustees of Columbia University [cph]
Maintainer: Frederick Solt <frederick-solt@uiowa.edu>
Repository: CRAN
Date/Publication: 2020-04-15 00:20:10 UTC

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New package bigmatch with initial version 0.6.2
Package: bigmatch
Type: Package
Title: Making Optimal Matching Size-Scalable Using Optimal Calipers
Version: 0.6.2
Author: Ruoqi Yu
Maintainer: Ruoqi Yu <ruoqiyu@wharton.upenn.edu>
Description: Implements optimal matching with near-fine balance in large observational studies with the use of optimal calipers to get a sparse network. The caliper is optimal in the sense that it is as small as possible such that a matching exists. The main functions in the 'bigmatch' package are optcal() to find the optimal caliper, optconstant() to find the optimal number of nearest neighbors and nfmatch() to find a near-fine balance match with a caliper and a restriction on number of nearest neighbors. Glover, F. (1967). <DOI:10.1002/nav.3800140304>. Lipski, W., Jr, and Preparata, F. P. (1981). <DOI:10.1007/BF00264533>. Rosenbaum, P.R. (1989). <DOI:10.1080/01621459.1989.10478868>. Yang, D., Small, D. S., Silber, J. H., and Rosenbaum, P. R. (2012). <DOI:10.1111/j.1541-0420.2011.01691.x>.
License: MIT+file LICENSE
Encoding: UTF-8
LazyData: true
Imports: rcbalance, stats, liqueueR, plyr, mvnfast, methods
Suggests: optmatch
NeedsCompilation: no
Packaged: 2020-04-10 13:38:16 UTC; ruoqi
Repository: CRAN
Date/Publication: 2020-04-15 00:20:07 UTC

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Package MIAmaxent updated to version 1.1.1 with previous version 1.1.0 dated 2019-05-30

Title: A Modular, Integrated Approach to Maximum Entropy Distribution Modeling
Description: Tools for training, selecting, and evaluating maximum entropy (and standard logistic regression) distribution models. This package provides tools for user-controlled transformation of explanatory variables, selection of variables by nested model comparison, and flexible model evaluation and projection. It follows principles based on the maximum- likelihood interpretation of maximum entropy modeling, and uses infinitely- weighted logistic regression for model fitting.
Author: Julien Vollering [aut, cre], Sabrina Mazzoni [aut], Rune Halvorsen [aut], Steven Phillips [cph]
Maintainer: Julien Vollering <julien.vollering@hvl.no>

Diff between MIAmaxent versions 1.1.0 dated 2019-05-30 and 1.1.1 dated 2020-04-14

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Package stopwords updated to version 2.0 with previous version 1.0 dated 2019-07-24

Title: Multilingual Stopword Lists
Description: Provides multiple sources of stopwords, for use in text analysis and natural language processing.
Author: Kenneth Benoit [aut, cre], David Muhr [aut], Kohei Watanabe [aut]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

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Package shinyFiles updated to version 0.8.0 with previous version 0.7.5 dated 2019-11-18

Title: A Server-Side File System Viewer for Shiny
Description: Provides functionality for client-side navigation of the server side file system in shiny apps. In case the app is running locally this gives the user direct access to the file system without the need to "download" files to a temporary location. Both file and folder selection as well as file saving is available.
Author: Thomas Lin Pedersen [cre, aut] (<https://orcid.org/0000-0002-5147-4711>), Vincent Nijs [aut], Thomas Schaffner [aut], Eric Nantz [aut]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

Diff between shinyFiles versions 0.7.5 dated 2019-11-18 and 0.8.0 dated 2020-04-14

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Package photobiologyInOut updated to version 0.4.22-1 with previous version 0.4.22 dated 2020-04-02

Title: Read Spectral and Logged Data from Foreign Files
Description: Functions for reading, and in some cases writing, foreign files containing spectral data from spectrometers and their associated software, output from daylight simulation models in common use, and some spectral data repositories. As well as functions for exchange of spectral data with other R packages. Part of the 'r4photobiology' suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] (<https://orcid.org/0000-0003-3385-972X>), Titta K. Kotilainen [ctb] (<https://orcid.org/0000-0002-2822-9734>), Glenn Davis [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

Diff between photobiologyInOut versions 0.4.22 dated 2020-04-02 and 0.4.22-1 dated 2020-04-14

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Package nhstplot updated to version 1.1.0 with previous version 1.0.1 dated 2016-11-19

Title: Plot Null Hypothesis Significance Tests
Description: Illustrate graphically the most common Null Hypothesis Significance Testing procedures. More specifically, this package provides functions to plot Chi-Squared, F, t (one- and two-tailed) and z (one- and two-tailed) tests, by plotting the probability density under the null hypothesis as a function of the different test statistic values. Although highly flexible (color theme, fonts, etc.), only the minimal number of arguments (observed test statistic, degrees of freedom) are necessary for a clear and useful graph to be plotted, with the observed test statistic and the p value, as well as their corresponding value labels. The axes are automatically scaled to present the relevant part and the overall shape of the probability density function. This package is especially intended for education purposes, as it provides a helpful support to help explain the Null Hypothesis Significance Testing process, its use and/or shortcomings.
Author: Nils Myszkowski [aut, cre] (<https://orcid.org/0000-0003-1322-0777>)
Maintainer: Nils Myszkowski <nmyszkowski@pace.edu>

Diff between nhstplot versions 1.0.1 dated 2016-11-19 and 1.1.0 dated 2020-04-14

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Package forestr updated to version 2.0.2 with previous version 2.0.1 dated 2020-01-31

Title: Ecosystem and Canopy Structural Complexity Metrics from LiDAR
Description: Provides a toolkit for calculating forest and canopy structural complexity metrics from terrestrial LiDAR (light detection and ranging). References: Atkins et al. 2018 <doi:10.1111/2041-210X.13061>; Hardiman et al. 2013 <doi:10.3390/f4030537>; Parker et al. 2004 <doi:10.1111/j.0021-8901.2004.00925.x>.
Author: Jeff Atkins [aut, cre], Gil Bohrer [aut], Robert Fahey [aut], Brady Hardiman [aut], Chrisopher Gough [aut], Timothy Morin [aut], Atticus Stovall [aut], Naupaka Zimmerman [ctb, aut], Chris Black [ctb]
Maintainer: Jeff Atkins <jwatkins6@vcu.edu>

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Package emba updated to version 0.1.4 with previous version 0.1.2 dated 2020-02-06

Title: Ensemble Boolean Model Biomarker Analysis
Description: Analysis and visualization of an ensemble of boolean models for biomarker discovery in cancer cell networks. The package allows to easily import the data results of a software pipeline that predicts synergistic drug combinations in cancer cell lines, developed by the DrugLogics research group in NTNU. It has generic functions that can be used to split a boolean model dataset to model groups with regards to the models predictive performance (number of true positive predictions or Matthews correlation coefficient score) or synergy prediction based on a given set of observed synergies and find the average activity difference per network node between all group pairs. Thus, given user-specific thresholds, important nodes (biomarkers) can be accessed in the sense that they make the models predict specific synergies (synergy biomarkers) or have better performance in general (performance biomarkers). Lastly, if the boolean models have a specific equation form and differ only in their link operator, link operator biomarkers can also be assessed.
Author: John Zobolas [aut, cph, cre] (<https://orcid.org/0000-0002-3609-8674>)
Maintainer: John Zobolas <bblodfon@gmail.com>

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Package future.batchtools updated to version 0.9.0 with previous version 0.8.1 dated 2019-10-01

Title: A Future API for Parallel and Distributed Processing using 'batchtools'
Description: Implementation of the Future API on top of the 'batchtools' package. This allows you to process futures, as defined by the 'future' package, in parallel out of the box, not only on your local machine or ad-hoc cluster of machines, but also via high-performance compute ('HPC') job schedulers such as 'LSF', 'OpenLava', 'Slurm', 'SGE', and 'TORQUE' / 'PBS', e.g. 'y <- future.apply::future_lapply(files, FUN = process)'.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package freesurferformats updated to version 0.1.9 with previous version 0.1.8 dated 2020-02-17

Title: Read and Write 'FreeSurfer' Neuroimaging File Formats
Description: Provides functions to read and write data from neuroimaging files in 'FreeSurfer' <http://freesurfer.net/> binary formats. This includes the following file formats: 1) MGH/MGZ format files, which can contain multi-dimensional images or other data. Typically they contain time-series of three-dimensional brain scans acquired by magnetic resonance imaging (MRI). They can also contain vertex-wise measures of surface morphometry data. The MGH format is named after the Massachusetts General Hospital, and the MGZ format is a compressed version of the same format. 2) 'FreeSurfer' morphometry data files in binary 'curv' format. These contain vertex-wise surface measures, i.e., one scalar value for each vertex of a brain surface mesh. These are typically values like the cortical thickness or brain surface area at each vertex. 3) Annotation file format. This contains a brain surface parcellation derived from a cortical atlas. 4) Surface file format. Contains a brain surface mesh, given by a list of vertices and a list of faces.
Author: Tim Schäfer [aut, cre] (<https://orcid.org/0000-0002-3683-8070>)
Maintainer: Tim Schäfer <ts+code@rcmd.org>

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More information about freesurferformats at CRAN
Permanent link

New package swissparl with initial version 0.2.1
Package: swissparl
Type: Package
Title: Interface to the Webservices of the Swiss Parliament
Version: 0.2.1
Authors@R: c(person("David", "Zumbach", , "david.zumbach@gfzb.ch", c("aut", "cre")), person("Benjamin", "Gföhler", role = "ctb"))
Description: Retrieves the most important data on parliamentary activities of the Swiss Federal Assembly via an open, machine-readable interface (see <https://ws.parlament.ch/odata.svc/>).
URL: https://www.parlament.ch/en/services/open-data-webservices
BugReports: https://github.com/zumbov2/swissparl/issues
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Imports: dplyr, jsonlite, magrittr, purrr, stringr, tibble, tidyr, lubridate, crayon, httr, ggplot2
NeedsCompilation: no
Packaged: 2020-04-09 20:57:12 UTC; david
Author: David Zumbach [aut, cre], Benjamin Gföhler [ctb]
Maintainer: David Zumbach <david.zumbach@gfzb.ch>
Repository: CRAN
Date/Publication: 2020-04-14 17:10:02 UTC

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Permanent link

New package SimJoint with initial version 0.3.7
Package: SimJoint
Type: Package
Title: Simulate Joint Distribution
Version: 0.3.7
Author: Charlie Wusuo Liu
Maintainer: Charlie Wusuo Liu <liuwusuo@gmail.com>
Description: Simulate multivariate correlated data given nonparametric marginals and their joint structure characterized by a Pearson or Spearman correlation matrix. The simulator engages the problem from a purely computational perspective. It assumes no statistical models such as copulas or parametric distributions, and can approximate the target correlations regardless of theoretical feasibility. The algorithm integrates and advances the Iman-Conover (1982) approach <doi:10.1080/03610918208812265> and the Ruscio-Kaczetow iteration (2008) <doi:10.1080/00273170802285693>. Package functions are carefully implemented in C++ for squeezing computing speed, suitable for large input in a manycore environment. Precision of the approximation and computing speed both substantially outperform various CRAN packages to date. Benchmarks are detailed in function examples. A simple heuristic algorithm is additionally designed to optimize the joint distribution in the post-simulation stage. The heuristic demonstrated good potential of achieving the same level of precision of approximation without the enhanced Iman-Conover-Ruscio-Kaczetow. The package contains a copy of Permuted Congruential Generator from <http://www.pcg-random.org>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 1.0.0), RcppParallel
LinkingTo: Rcpp, RcppParallel, RcppArmadillo
SystemRequirements: GNU make
Suggests: R.rsp
VignetteBuilder: R.rsp
NeedsCompilation: yes
Packaged: 2020-04-08 05:14:13 UTC; i56087
Repository: CRAN
Date/Publication: 2020-04-14 17:20:09 UTC

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Package sf updated to version 0.9-2 with previous version 0.9-1 dated 2020-04-06

Title: Simple Features for R
Description: Support for simple features, a standardized way to encode spatial vector data. Binds to 'GDAL' for reading and writing data, to 'GEOS' for geometrical operations, and to 'PROJ' for projection conversions and datum transformations.
Author: Edzer Pebesma [aut, cre] (<https://orcid.org/0000-0001-8049-7069>), Roger Bivand [ctb] (<https://orcid.org/0000-0003-2392-6140>), Etienne Racine [ctb], Michael Sumner [ctb], Ian Cook [ctb], Tim Keitt [ctb], Robin Lovelace [ctb], Hadley Wickham [ctb], Jeroen Ooms [ctb] (<https://orcid.org/0000-0002-4035-0289>), Kirill Müller [ctb], Thomas Lin Pedersen [ctb], Dan Baston [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between sf versions 0.9-1 dated 2020-04-06 and 0.9-2 dated 2020-04-14

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Package opentripplanner updated to version 0.2.1.0 with previous version 0.2.0.8 dated 2020-02-06

Title: Setup and connect to 'OpenTripPlanner'
Description: Setup and connect to 'OpenTripPlanner' (OTP) <http://www.opentripplanner.org/>. OTP is an open source platform for multi-modal and multi-agency journey planning written in 'Java'. The package allows you to manage a local version or connect to remote OTP server. This package has been peer-reviewed by rOpenSci (v. 0.2.0.0).
Author: Malcolm Morgan [aut, cre] (<https://orcid.org/0000-0002-9488-9183>), Marcus Young [aut] (<https://orcid.org/0000-0003-4627-1116>), Robin Lovelace [aut] (<https://orcid.org/0000-0001-5679-6536>), Layik Hama [ctb] (<https://orcid.org/0000-0003-1912-4890>)
Maintainer: Malcolm Morgan <m.morgan1@leeds.ac.uk>

Diff between opentripplanner versions 0.2.0.8 dated 2020-02-06 and 0.2.1.0 dated 2020-04-14

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Package modeltests updated to version 0.1.1 with previous version 0.1.0 dated 2020-02-29

Title: Testing Infrastructure for Broom Model Generics
Description: Provides a number of testthat tests that can be used to verify that tidy(), glance() and augment() methods meet consistent specifications. This allows methods for the same generic to be spread across multiple packages, since all of those packages can make the same guarantees to users about returned objects.
Author: Alex Hayes [aut, cre] (<https://orcid.org/0000-0002-4985-5160>)
Maintainer: Alex Hayes <alexpghayes@gmail.com>

Diff between modeltests versions 0.1.0 dated 2020-02-29 and 0.1.1 dated 2020-04-14

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Package midrangeMCP updated to version 2.1 with previous version 2.0 dated 2020-04-11

Title: Multiples Comparisons Procedures Based on Studentized Midrange and Range Distributions
Description: Apply tests of multiple comparisons based on studentized midrange and range distributions. The tests are: Tukey Midrange (TM test), Student-Newman-Keuls Midrange (SNKM test), Means Grouping Midrange (MGM test) and Means Grouping Range (MGR test). The articles of these tests are in the submission phase, and we will soon update the references.
Author: Ben Deivide [aut, cre], Daniel Furtado [aut], Diego Arthur [ctb]
Maintainer: Ben Deivide <ben.deivide@ufsj.edu.br>

Diff between midrangeMCP versions 2.0 dated 2020-04-11 and 2.1 dated 2020-04-14

 DESCRIPTION         |   18 ++--
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Package LHD updated to version 0.1.3 with previous version 0.1.2 dated 2019-10-22

Title: Latin Hypercube Designs (LHDs) Algorithms
Description: Contains functions for finding space-filling Latin Hypercube Designs (LHDs), e.g. maximin distance LHDs. Unlike other packages, our package is particularly useful in the area of Design and Analysis of Experiments (DAE). More specifically, it is very useful in design of computer experiments. One advantage of our package is its comprehensiveness. It contains a variety of heuristic algorithms (and their modifications) for searching maximin distance LHDs. In addition to that, it also contains other useful tools for developing and constructing maximin distance LHDs. Please refer to the function documentations for the detailed references of each function. Among all the references we used, one reference should be highlighted here, which is Ruichen Jin, Wei Chen, Agus Sudjianto (2005) <doi:10.1016/j.jspi.2004.02.014>. They provided a new form of phi_p criterion, which does not lose the space-filling property and simultaneously reduces the computational complexity when evaluating (or re-evaluating) an LHD. Their new phi_p criterion is a fundamental component of our many functions. Besides, the computation nature of the new phi_p criterion enables our functions to have less CPU time.
Author: Hongzhi Wang, Qian Xiao, Abhyuday Mandal
Maintainer: Hongzhi Wang <hw34508@uga.edu>

Diff between LHD versions 0.1.2 dated 2019-10-22 and 0.1.3 dated 2020-04-14

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New package openmetrics with initial version 0.1.0
Package: openmetrics
Title: A 'Prometheus' Client for R Using the 'OpenMetrics' Format
Version: 0.1.0
Authors@R: c( person("Aaron", "Jacobs", role = c("aut", "cre"), email = "atheriel@gmail.com"), person("Crescendo Technology Ltd.", role = "cph") )
Description: Provides a client for the open-source monitoring and alerting toolkit, 'Prometheus', that emits metrics in the 'OpenMetrics' format. Allows users to automatically instrument 'Plumber' and 'Shiny' applications, collect standard process metrics, as well as define custom counter, gauge, and histogram metrics of their own.
License: MIT + file LICENSE
URL: https://github.com/atheriel/openmetrics
BugReports: https://github.com/atheriel/openmetrics/issues
Imports: R6
Suggests: plumber, shiny, testthat (>= 2.1.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-04-11 00:32:44 UTC; aaronj
Author: Aaron Jacobs [aut, cre], Crescendo Technology Ltd. [cph]
Maintainer: Aaron Jacobs <atheriel@gmail.com>
Repository: CRAN
Date/Publication: 2020-04-14 16:30:02 UTC

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New package FMCCSD with initial version 1.0
Package: FMCCSD
Type: Package
Title: Efficient Estimation of Clustered Current Status Data
Version: 1.0
Date: 2020-04-05
Authors@R: c(person("Tong", "Wang", role = c("aut", "cre"), email = "tong@stat.tamu.edu"), person("Kejun", "He", role = "aut"), person("Wei", "Ma", role = "aut"), person("Dipankar", "Bandyopadhyay", role="aut"), person("Samiran", "Sinha", role = "aut"))
Author: Tong Wang [aut, cre], Kejun He [aut], Wei Ma [aut], Dipankar Bandyopadhyay [aut], Samiran Sinha [aut]
Maintainer: Tong Wang <tong@stat.tamu.edu>
Description: Current status data abounds in the field of epidemiology and public health, where the only observable data for a subject is the random inspection time and the event status at inspection. Motivated by such a current status data from a periodontal study where data are inherently clustered, we propose a unified methodology to analyze such complex data.
License: GPL-2
Encoding: UTF-8
Imports: Rcpp (>= 0.12.18), numDeriv, splines2, orthopolynom
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2020-04-10 23:26:23 UTC; tong
Repository: CRAN
Date/Publication: 2020-04-14 16:30:05 UTC

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New package covid19france with initial version 0.1.0
Package: covid19france
Title: Cases of COVID-19 in France
Version: 0.1.0
Authors@R: person(given = "Amanda", family = "Dobbyn", role = c("aut", "cre"), email = "amanda.e.dobbyn@gmail.com")
Description: Imports and cleans 'opencovid19-fr' <https://github.com/opencovid19-fr/data> data on COVID-19 in France.
License: MIT + file LICENSE
Depends: R (>= 2.10)
Imports: dplyr (>= 0.8.5), glue (>= 1.3.2), lubridate (>= 1.7.4), magrittr (>= 1.5), readr (>= 1.3.1), stringr (>= 1.4.0), tidyr (>= 1.0.2)
Suggests: testthat (>= 2.3.1)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-04-10 20:08:53 UTC; amanda
Author: Amanda Dobbyn [aut, cre]
Maintainer: Amanda Dobbyn <amanda.e.dobbyn@gmail.com>
Repository: CRAN
Date/Publication: 2020-04-14 16:10:02 UTC

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Package tkrgl updated to version 0.9 with previous version 0.8 dated 2018-05-16

Title: Deprecated 'TK' Widget Tools for 'rgl'
Description: 'TK' widget tools for the 'rgl' package have been moved to 'rgl'.
Author: Duncan Murdoch/Ming Chen
Maintainer: Duncan Murdoch <murdoch.duncan@gmail.com>

Diff between tkrgl versions 0.8 dated 2018-05-16 and 0.9 dated 2020-04-14

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Package PHYLOGR updated to version 1.0.11 with previous version 1.0.10 dated 2018-03-20

Title: Functions for Phylogenetically Based Statistical Analyses
Description: Manipulation and analysis of phylogenetically simulated data sets and phylogenetically based analyses using GLS.
Author: Ramon Diaz-Uriarte <rdiaz@cnio.es> and Theodore Garland, Jr <theodore.garland@ucr.edu>
Maintainer: Ramon Diaz-Uriarte <rdiaz02@gmail.com>

Diff between PHYLOGR versions 1.0.10 dated 2018-03-20 and 1.0.11 dated 2020-04-14

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Package escalation updated to version 0.1.2 with previous version 0.1.1 dated 2020-03-08

Title: Modular Approach to Dose Finding Clinical Trials
Description: Methods for working with dose-finding clinical trials. We start by providing a common interface to various dose-finding methodologies like the continual reassessment method (CRM) by O'Quigley et al. (1990) <doi:10.2307/2531628>, the Bayesian optimal interval design (BOIN) by Liu & Yuan (2015) <doi:10.1111/rssc.12089>, and the 3+3 described by Korn et al. (1994) <doi:10.1002/sim.4780131802>. We then add optional embellishments to provide extra desirable behaviour, like avoiding skipping doses, stopping after n patients have been treated at the recommended dose, or demanding that n patients are treated before stopping is allowed. By daisy-chaining together these embellishments using the pipe operator from 'magrittr', it is simple to tailor the behaviour of dose-finding designs so that they do what you want. Furthermore, using this flexible interface for creating dose-finding designs, it is simple to run simulations or calculate dose-pathways for future cohorts of patients.
Author: Kristian Brock [aut, cre] (<https://orcid.org/0000-0002-3921-0166>)
Maintainer: Kristian Brock <kristian.brock@gmail.com>

Diff between escalation versions 0.1.1 dated 2020-03-08 and 0.1.2 dated 2020-04-14

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Package uklr updated to version 1.0.1 with previous version 1.0.0 dated 2019-12-18

Title: Client to United Kingdom Land Registry
Description: Access data from Land Registry Open Data <http://landregistry.data.gov.uk/> through 'SPARQL' queries. 'uklr' supports the house price index, transaction and price paid data.
Author: Kostas Vasilopoulos [aut, cre] (<https://orcid.org/0000-0002-9769-6395>)
Maintainer: Kostas Vasilopoulos <k.vasilopoulo@gmail.com>

Diff between uklr versions 1.0.0 dated 2019-12-18 and 1.0.1 dated 2020-04-14

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Package rgl updated to version 0.100.54 with previous version 0.100.50 dated 2020-02-21

Title: 3D Visualization Using OpenGL
Description: Provides medium to high level functions for 3D interactive graphics, including functions modelled on base graphics (plot3d(), etc.) as well as functions for constructing representations of geometric objects (cube3d(), etc.). Output may be on screen using OpenGL, or to various standard 3D file formats including WebGL, PLY, OBJ, STL as well as 2D image formats, including PNG, Postscript, SVG, PGF.
Author: Daniel Adler <dadler@uni-goettingen.de>, Duncan Murdoch <murdoch.duncan@gmail.com>, and others (see README)
Maintainer: Duncan Murdoch <murdoch.duncan@gmail.com>

Diff between rgl versions 0.100.50 dated 2020-02-21 and 0.100.54 dated 2020-04-14

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New package poissonreg with initial version 0.0.1
Package: poissonreg
Title: Model Wrappers for Poisson Regression
Version: 0.0.1
Authors@R: c( person(given = "Max", family = "Kuhn", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-2402-136X"), email = "max@rstudio.com"), person("RStudio", role = "cph"))
Description: Bindings for Poisson regression models for use with the 'parsnip' package. Models include simple generalized linear models, Bayesian models, and zero-inflated Poisson models (Zeileis, Kleiber, and Jackman (2008) <doi:10.18637/jss.v027.i08>).
License: MIT + file LICENSE
URL: https://github.com/tidymodels/poissonreg
BugReports: https://github.com/tidymodels/poissonreg/issues
Depends: parsnip (>= 0.1.0), R (>= 2.10)
Imports: rlang, tibble, purrr, stats, dplyr, tidyr, glue
Suggests: testthat, pscl, covr, spelling
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0.9000
Language: en-US
NeedsCompilation: no
Packaged: 2020-04-10 16:37:54 UTC; max
Author: Max Kuhn [aut, cre] (<https://orcid.org/0000-0003-2402-136X>), RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>
Repository: CRAN
Date/Publication: 2020-04-14 14:40:10 UTC

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New package plsmod with initial version 0.0.1
Package: plsmod
Title: Model Wrappers for Projection Methods
Version: 0.0.1
Authors@R: c(person(given = "Max", family = "Kuhn", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-2402-136X"), email = "max@rstudio.com"), person(given = "RStudio", role = "cph"))
Description: Bindings for additional regression models for use with the 'parsnip' package, including ordinary and spare partial least squares models for regression and classification (Rohart et al (2017) <doi:10.1371/journal.pcbi.1005752>).
URL: https://github.com/tidymodels/plsmod
BugReports: https://github.com/tidymodels/plsmod/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0.9000
biocViews: mixOmics
Depends: parsnip (>= 0.1.0)
Imports: tibble, mixOmics, dplyr, tidyr, generics, magrittr, purrr, rlang
Suggests: modeldata, testthat, covr, spelling
Language: en-US
NeedsCompilation: no
Packaged: 2020-04-10 17:04:55 UTC; max
Author: Max Kuhn [aut, cre] (<https://orcid.org/0000-0003-2402-136X>), RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>
Repository: CRAN
Date/Publication: 2020-04-14 14:50:05 UTC

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Package mapsapi updated to version 0.4.5 with previous version 0.4.2 dated 2019-09-07

Title: 'sf'-Compatible Interface to 'Google Maps' APIs
Description: Interface to the 'Google Maps' APIs: (1) routing directions based on the 'Directions' API, returned as 'sf' objects, either as single feature per alternative route, or a single feature per segment per alternative route; (2) travel distance or time matrices based on the 'Distance Matrix' API; (3) geocoded locations based on the 'Geocode' API, returned as 'sf' objects, either points or bounds; (4) map images using the 'Maps Static' API, returned as 'stars' objects.
Author: Michael Dorman [aut, cre], Tom Buckley [ctb], Alex Dannenberg [ctb], Mihir Bhaskar [ctb]
Maintainer: Michael Dorman <dorman@post.bgu.ac.il>

Diff between mapsapi versions 0.4.2 dated 2019-09-07 and 0.4.5 dated 2020-04-14

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Package BarcodingR updated to version 1.0-3 with previous version 1.0-2 dated 2016-10-18

Title: Species Identification using DNA Barcodes
Description: To perform species identification using DNA barcodes.
Author: Ai-bing ZHANG [aut, cre], Meng-di HAO [aut], Cai-qing YANG [aut], Zhi-yong SHI [aut]
Maintainer: Ai-bing ZHANG <Zhangab2008@mail.cnu.edu.cn>

Diff between BarcodingR versions 1.0-2 dated 2016-10-18 and 1.0-3 dated 2020-04-14

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New package baguette with initial version 0.0.1
Package: baguette
Title: Efficient Model Functions for Bagging
Version: 0.0.1
Authors@R: c( person( given = "Max", family = "Kuhn", email = "max@rstudio.com", comment = c(ORCID = "0000-0003-2402-136X"), role = c("aut", "cre") ), person("RStudio", role = "cph") )
Description: Tree- and rule-based models can be bagged using this package and their predictions equations are stored in an efficient format to reduce the model objects size and speed.
License: MIT + file LICENSE
Depends: parsnip (>= 0.1.0)
Suggests: testthat, AmesHousing, recipes, modeldata, covr, yardstick
Encoding: UTF-8
LazyData: true
Imports: hardhat, butcher, rpart, C50, withr, rsample, dplyr, purrr, furrr, tibble, tidyr, rlang, earth, magrittr, utils, generics, dials
URL: https://github.com/tidymodels/baguette
BugReports: https://github.com/tidymodels/baguette/issues
RoxygenNote: 7.1.0.9000
NeedsCompilation: no
Packaged: 2020-04-10 14:38:44 UTC; max
Author: Max Kuhn [aut, cre] (<https://orcid.org/0000-0003-2402-136X>), RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>
Repository: CRAN
Date/Publication: 2020-04-14 14:20:04 UTC

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Package sizeMat updated to version 1.1.1 with previous version 1.1.0 dated 2019-07-31

Title: Estimate Size at Sexual Maturity
Description: Estimate morphometric and gonadal size at sexual maturity for organisms, usually fish and invertebrates. It includes methods for classification based on relative growth (using principal components analysis, hierarchical clustering, discriminant analysis), logistic regression (Frequentist or Bayes), parameters estimation and some basic plots.
Author: Josymar Torrejon-Magallanes [cre, aut]
Maintainer: Josymar Torrejon-Magallanes <ejosymart@gmail.com>

Diff between sizeMat versions 1.1.0 dated 2019-07-31 and 1.1.1 dated 2020-04-14

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Package rwebstat updated to version 1.1.0 with previous version 1.0.2 dated 2019-05-24

Title: Download Data from the Webstat API
Description: Access the Webstat API, download data and metadata from more than 35000 time series from the Banque de France statistics web portal. Access requires a free client ID easily available from the API portal <https://developer.webstat.banque-france.fr/>.
Author: Vincent Guegan [aut], Etienne Kintzler [aut], Jules Lecocq [aut, cre]
Maintainer: Jules Lecocq <jules.lecocq@banque-france.fr>

Diff between rwebstat versions 1.0.2 dated 2019-05-24 and 1.1.0 dated 2020-04-14

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Package osrm updated to version 3.3.3 with previous version 3.3.2 dated 2019-09-30

Title: Interface Between R and the OpenStreetMap-Based Routing Service OSRM
Description: An interface between R and the OSRM API. OSRM is a routing service based on OpenStreetMap data. See <http://project-osrm.org/> for more information. This package allows to compute distances (travel time and kilometric distance) between points and travel time matrices.
Author: Timothée Giraud [cre, aut] (<https://orcid.org/0000-0002-1932-3323>), Robin Cura [ctb], Matthieu Viry [ctb]
Maintainer: Timothée Giraud <timothee.giraud@cnrs.fr>

Diff between osrm versions 3.3.2 dated 2019-09-30 and 3.3.3 dated 2020-04-14

 DESCRIPTION          |   13 ++--
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 14 files changed, 211 insertions(+), 36 deletions(-)

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Package J4R updated to version 1.0.7 with previous version 1.0.6 dated 2020-04-07

Title: Create 'Java' Objects and Execute 'Java' Methods
Description: Makes it possible to create 'Java' objects and to execute 'Java' methods from the 'R' environment. The 'Java' Virtual Machine is handled by a gateway server. Commands are sent to the server through a socket connection from the 'R' environment. Calls to 'Java' methods allow for vectors so that a particular method is iteratively run on each element of the vector. A score algorithm also makes the calls to 'Java' methods less restrictive. The gateway server relies on the runnable 'Java' library 'j4r.jar'. This library is licensed under the LGPL-3. Its sources are included in this package.
Author: Mathieu Fortin [aut, cre, cph]
Maintainer: Mathieu Fortin <mathieu.fortin.re@gmail.com>

Diff between J4R versions 1.0.6 dated 2020-04-07 and 1.0.7 dated 2020-04-14

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Package fixest updated to version 0.4.1 with previous version 0.4.0 dated 2020-03-29

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>

Diff between fixest versions 0.4.0 dated 2020-03-29 and 0.4.1 dated 2020-04-14

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Package cwbtools updated to version 0.2.0 with previous version 0.1.2 dated 2019-12-17

Title: Tools to create, modify and manage 'CWB' Corpora
Description: The 'Corpus Workbench' ('CWB', <http://cwb.sourceforge.net/>) offers a classic and mature approach for working with large, linguistically and structurally annotated corpora. The 'CWB' is memory efficient and its design makes running queries fast (Evert and Hardie 2011, <http://www.stefan-evert.de/PUB/EvertHardie2011.pdf>). The 'cwbtools' package offers pure R tools to create indexed corpus files as well as high-level wrappers for the original C implementation of CWB as exposed by the 'RcppCWB' package <https://CRAN.R-project.org/package=RcppCWB>. Additional functionality to add and modify annotations of corpora from within R makes working with CWB indexed corpora much more flexible and convenient. The 'cwbtools' package in combination with the R packages 'RcppCWB' (<https://CRAN.R-project.org/package=RcppCWB>) and 'polmineR' (<https://CRAN.R-project.org/package=polmineR>) offers a lightweight infrastructure to support the combination of quantitative and qualitative approaches for working with textual data.
Author: Andreas Blaette [aut, cre], Christoph Leonhardt [ctb]
Maintainer: Andreas Blaette <andreas.blaette@uni-due.de>

Diff between cwbtools versions 0.1.2 dated 2019-12-17 and 0.2.0 dated 2020-04-14

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Package bbricks updated to version 0.1.2 with previous version 0.1.1 dated 2020-03-25

Title: Bayesian Methods and Graphical Model Structures for Statistical Modeling
Description: A class of frequently used Bayesian parametric and nonparametric model structures, as well as a set of tools for common analytical tasks. Structures include Gaussian and Normal-Inverse-Wishart conjugate structure, Gaussian and Normal-Inverse-Gamma conjugate structure, Categorical and Dirichlet conjugate structure, Dirichlet Process on positive integers, Dirichlet Process in general, Hierarchical Dirichlet Process ... Tasks include updating posteriors, calculating marginal likelihood, calculating posterior predictive densities, sampling from posterior predictive distributions, calculating "Maximum A Posteriori" (MAP) estimates ... See Murphy (2012, <doi:10.1080/09332480.2014.914768>), Koller and Friedman (2009, <doi:10.1017/s0269888910000275>) and Andrieu, de Freitas, Doucet and Jordan (2003, <doi:10.1023/A:1020281327116>) for more information. See <https://chenhaotian.github.io/Bayesian-Bricks/> to get started.
Author: Haotian Chen [aut, cre] (<https://orcid.org/0000-0001-9751-2093>)
Maintainer: Haotian Chen <chenhaotian.jtt@gmail.com>

Diff between bbricks versions 0.1.1 dated 2020-03-25 and 0.1.2 dated 2020-04-14

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 bbricks-0.1.2/bbricks/NEWS.md                                                                 |   28 
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New package xgxr with initial version 1.0.9
Package: xgxr
Title: Exploratory Graphics for Pharmacometrics
Version: 1.0.9
Authors@R: c(person(given = "Andrew", family = "Stein", role = c("aut", "cre"), email = "andy.stein@gmail.com"), person(given = "Alison", family = "Margolskee", role = "aut", email = "alison.margolskee@gmail.com"), person(given = "Fariba", family = "Khanshan", role = "aut", email = "faribashan@gmail.com"), person(given = "Konstantin", family = "Krismer", role = "aut", email = "krismer@mit.edu", comment = c(ORCID = "0000-0001-8994-3416")), person(given = "Matthew", family = "Fidler", role = "ctb", email = "matthew.fidler@gmail.com", comment = c(ORCID = "0000-0001-8538-6691")), person("Novartis Pharma AG", role = c("cph","fnd")))
Description: Supports a structured approach for exploring PKPD data <https://opensource.nibr.com/xgx>. It also contains helper functions for enabling the modeler to follow best R practices (by appending the program name, figure name location, and draft status to each plot). In addition, it enables the modeler to follow best graphical practices (by providing a theme that reduces chart ink, and by providing time-scale, log-scale, and reverse-log-transform-scale functions for more readable axes). Finally, it provides some data checking and summarizing functions for rapidly exploring pharmacokinetics and pharmacodynamics (PKPD) datasets.
License: MIT + file LICENSE
URL: https://opensource.nibr.com/xgx
Depends: R (>= 3.5.0)
Imports: assertthat, binom, dplyr, ggplot2, graphics, grDevices, labeling, magrittr, pander, png, scales, stats, tibble, utils
Suggests: caTools, gridExtra, knitr, rmarkdown, RxODE, stringr, testthat, tidyr
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-04-14 11:22:14 UTC; steinanf
Author: Andrew Stein [aut, cre], Alison Margolskee [aut], Fariba Khanshan [aut], Konstantin Krismer [aut] (<https://orcid.org/0000-0001-8994-3416>), Matthew Fidler [ctb] (<https://orcid.org/0000-0001-8538-6691>), Novartis Pharma AG [cph, fnd]
Maintainer: Andrew Stein <andy.stein@gmail.com>
Repository: CRAN
Date/Publication: 2020-04-14 12:20:03 UTC

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Package tanaka updated to version 0.1.3 with previous version 0.1.2 dated 2020-03-23

Title: Design Shaded Contour Lines (or Tanaka) Maps
Description: The Tanaka method enhances the representation of topography on a map using shaded contour lines. In this simplified implementation of the method, north-west white contours represent illuminated topography and south-east black contours represent shaded topography. See Tanaka (1950) <doi:10.2307/211219>.
Author: Timothée Giraud [cre, aut] (<https://orcid.org/0000-0002-1932-3323>)
Maintainer: Timothée Giraud <timothee.giraud@cnrs.fr>

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Package packager updated to version 1.2.0 with previous version 1.1.0 dated 2020-03-13

Title: Create, Build and Maintain Packages
Description: Helper functions for package creation, building and maintenance. Designed to work with a build system such as 'GNU make' or package 'fakemake' to help you to conditionally work through the stages of package development (such as spell checking, linting, testing, before building and checking a package).
Author: Andreas Dominik Cullmann [aut, cre]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>

Diff between packager versions 1.1.0 dated 2020-03-13 and 1.2.0 dated 2020-04-14

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Package ICD10gm updated to version 1.1 with previous version 1.0.4 dated 2019-08-21

Title: Metadata Processing for the German Modification of the ICD-10 Coding System
Description: Provides convenient access to the German modification of the International Classification of Diagnoses, 10th revision (ICD-10-GM). It provides functionality to aid in the identification, specification and historisation of ICD-10 codes. Its intended use is the analysis of routinely collected data in the context of epidemiology, medical research and health services research. The underlying metadata are released by the German Institute for Medical Documentation and Information <https://www.dimdi.de>, and are redistributed in accordance with their license.
Author: Ewan Donnachie [aut, cre] (<https://orcid.org/0000-0002-0668-0049>)
Maintainer: Ewan Donnachie <ewan@donnachie.net>

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Package downloadthis updated to version 0.1.3 with previous version 0.1.2 dated 2020-03-30

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 flashlight updated to version 0.7.2 with previous version 0.7.1 dated 2020-03-20

Title: Shed Light on Black Box Machine Learning Models
Description: Shed light on black box machine learning models by the help of model performance, variable importance, global surrogate models, ICE profiles, partial dependence (Friedman J. H. (2001) <doi:10.1214/aos/1013203451>), accumulated local effects (Apley D. W. (2016) <arXiv:1612.08468>), further effects plots, scatter plots, interaction strength, and variable contribution breakdown (approximate SHAP) for single observations (Gosiewska and Biecek (2019) <arxiv:1903.11420>). All tools are implemented to work with case weights and allow for stratified analysis. Furthermore, multiple flashlights can be combined and analyzed together.
Author: Michael Mayer [aut, cre, cph]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

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Package BAwiR updated to version 1.2.3 with previous version 1.2.2 dated 2020-03-24

Title: Analysis of Basketball Data
Description: Collection of tools to work with basketball data. Functions available are related to friendly web scraping and visualization. Data were obtained from <http://www.euroleague.net/>, <http://www.eurocupbasketball.com/> and <http://www.acb.com>, following the instructions of their respectives robots.txt files, when available. Tools for visualization include a population pyramid, 2D plots, circular plots of players' percentiles, plots of players' monthly/yearly stats, team heatmaps, team shooting plots, team four factors plots, cross-tables with the results of regular season games and maps of nationalities. Please see Vinue (2020) <doi:10.1089/big.2018.0124>.
Author: Guillermo Vinue
Maintainer: Guillermo Vinue <Guillermo.Vinue@uv.es>

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New package AQLSchemes with initial version 1.6-7
Package: AQLSchemes
Type: Package
Title: Retrieving Acceptance Sampling Schemes
Version: 1.6-7
Date: 2020-04-09
Author: John Lawson <lawsonjsl7net@gmail.com>
Maintainer: John Lawson <lawsonjsl7net@gmail.com>
Description: Functions are included for recalling AQL (Acceptable Quality Level or Acceptance Quality Level) Based single, double, and multiple attribute sampling plans from the Military Standard (MIL-STD-105E) - American National Standards Institute/American Society for Quality (ANSI/ASQ Z1.4) tables and for retrieving variable sampling plans from Military Standard (MIL-STD-414) - American National Standards Institute/American Society for Quality (ANSI/ASQ Z1.9) tables. The sources for these tables are listed in the URL: field. Also included are functions for computing the OC (Operating Characteristic) and ASN (Average Sample Number) coordinates for the attribute plans it recalls, and functions for computing the estimated proportion nonconforming and the maximum allowable proportion nonconforming for variable sampling plans. The MIL-STD AQL Sampling schemes were the most used and copied set of standards in the world. They are intended to be used for sampling a stream of lots, and were used in contract agreements between supplier and customer companies. When the US military dropped support of MIL-STD 105E and 414, The American National Standards Institute (ANSI) and the International Standards Organization (ISO) adopted the standard with few changes or no changes to the central tables. This package is useful because its computer implementation of these tables duplicates that available in other commercial software and subscription online calculators.
URL: https://archive.org/details/MIL-STD-105E_1 https://archive.org/details/MIL-STD-414
License: GPL-2
LazyLoad: yes
Suggests: R.rsp
VignetteBuilder: R.rsp
Repository: CRAN
Repository/R-Forge/Project: daewr
Repository/R-Forge/Revision: 195
Repository/R-Forge/DateTimeStamp: 2020-04-10 03:27:14
Date/Publication: 2020-04-14 11:20:06 UTC
NeedsCompilation: no
Packaged: 2020-04-10 03:45:41 UTC; rforge

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Package varycoef updated to version 0.2.11 with previous version 0.2.10 dated 2020-02-21

Title: Modeling Spatially Varying Coefficients
Description: Implements a maximum likelihood estimation (MLE) method for estimation and prediction in spatially varying coefficient (SVC) models (Dambon et al. (2020) <arXiv:2001.08089>). Covariance tapering (Furrer et al. (2006) <doi:10.1198/106186006X132178>) can be applied such that the method scales to large data.
Author: Jakob A. Dambon [aut, cre] (<https://orcid.org/0000-0001-5855-2017>), Fabio Sigrist [ctb] (<https://orcid.org/0000-0002-3994-2244>), Reinhard Furrer [ctb] (<https://orcid.org/0000-0002-6319-2332>)
Maintainer: Jakob A. Dambon <jakob.dambon@math.uzh.ch>

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Package SpatialPosition updated to version 2.0.1 with previous version 2.0.0 dated 2019-05-10

Title: Spatial Position Models
Description: Computes spatial position models: Stewart potentials, Reilly catchment areas, Huff catchment areas.
Author: Timothée Giraud [cre, aut], Hadrien Commenges [aut], Joël Boulier [ctb]
Maintainer: Timothée Giraud <timothee.giraud@cnrs.fr>

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Package rminer updated to version 1.4.5 with previous version 1.4.4 dated 2020-04-09

Title: Data Mining Classification and Regression Methods
Description: Facilitates the use of data mining algorithms in classification and regression (including time series forecasting) tasks by presenting a short and coherent set of functions. Versions: 1.4.5 / 1.4.4 new automated machine learning (AutoML) and ensembles, via improved fit(), mining() and mparheuristic() functions, and new categorical preprocessing, via improved delevels() function; 1.4.3 new metrics (e.g., macro precision, explained variance), new "lssvm" model and improved mparheuristic() function; 1.4.2 new "NMAE" metric, "xgboost" and "cv.glmnet" models (16 classification and 18 regression models); 1.4.1 new tutorial and more robust version; 1.4 - new classification and regression models, with a total of 14 classification and 15 regression methods, including: Decision Trees, Neural Networks, Support Vector Machines, Random Forests, Bagging and Boosting; 1.3 and 1.3.1 - new classification and regression metrics; 1.2 - new input importance methods via improved Importance() function; 1.0 - first version.
Author: Paulo Cortez [aut, cre]
Maintainer: Paulo Cortez <pcortez@dsi.uminho.pt>

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Package rasciidoc updated to version 2.1.1 with previous version 2.1.0 dated 2020-04-08

Title: Create Reports Using R and 'asciidoc'
Description: Inspired by Karl Broman`s reader on using 'knitr' with 'asciidoc' (<http://kbroman.org/knitr_knutshell/pages/asciidoc.html>), this is merely a wrapper to 'knitr' and 'asciidoc'.
Author: Andreas Dominik Cullmann [aut, cre]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>

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Package PHEindicatormethods updated to version 1.3.1 with previous version 1.3.0 dated 2020-03-12

Title: Common Public Health Statistics and their Confidence Intervals
Description: Functions to calculate commonly used public health statistics and their confidence intervals using methods approved for use in the production of Public Health England indicators such as those presented via Fingertips (<http://fingertips.phe.org.uk/>). It provides functions for the generation of proportions, crude rates, means, directly standardised rates, indirectly standardised rates, standardised mortality ratios, slope and relative index of inequality and life expectancy. Statistical methods are referenced in the following publications. Breslow NE, Day NE (1987) <doi:10.1002/sim.4780080614>. Dobson et al (1991) <doi:10.1002/sim.4780100317>. Armitage P, Berry G (2002) <doi:10.1002/9780470773666>. Wilson EB. (1927) <doi:10.1080/01621459.1927.10502953>. Altman DG et al (2000, ISBN: 978-0-727-91375-3). Chiang CL. (1968, ISBN: 978-0-882-75200-6). Newell C. (1994, ISBN: 978-0-898-62451-9). Eayres DP, Williams ES (2004) <doi:10.1136/jech.2003.009654>. Silcocks PBS et al (2001) <doi:10.1136/jech.55.1.38>. Low and Low (2004) <doi:10.1093/pubmed/fdh175>.
Author: Anderson Georgina [aut, cre], Fox Sebastian [ctb], Francis Matthew [ctb], Fryers Paul [ctb], Clegg Emma [ctb]
Maintainer: Anderson Georgina <georgina.anderson@phe.gov.uk>

Diff between PHEindicatormethods versions 1.3.0 dated 2020-03-12 and 1.3.1 dated 2020-04-14

 DESCRIPTION                                       |   10 
 MD5                                               |   46 -
 NAMESPACE                                         |    1 
 NEWS.md                                           |    9 
 R/LifeExpectancy.R                                |   50 +-
 R/PHEindicatormethods.R                           |    6 
 R/Proportions.R                                   |    2 
 R/Quantiles.R                                     |   11 
 R/Rates.R                                         |    2 
 R/SII_function.R                                  |   59 +-
 README.md                                         |    9 
 inst/doc/DSR-vignette.html                        |  118 ++--
 inst/doc/Introduction_to_PHEindicatormethods.html |  550 ++++++++++------------
 inst/doc/WorkedExamples_phe_sii.html              |  194 +++----
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 man/FindXValues.Rd                                |   34 -
 man/LE_data.Rd                                    |   36 -
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 tests/testthat/testLifeExpectancy.R               |   13 
 tests/testthat/testQuantiles.R                    |   18 
 24 files changed, 705 insertions(+), 658 deletions(-)

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New package mfdb with initial version 6.2-0
Package: mfdb
Type: Package
Title: MareFrame DB Querying Library
Encoding: UTF-8
Version: 6.2-0
Date: 2020-04-10
Authors@R: c(person("Jamie", "Lentin", email="lentinj@shuttlethread.com",role = c("aut", "cre", "cph")), person("Bjarki Thor", "Elvarsson", email="bjarki.elvarsson@hafogvatn.is",role = c("aut")))
Maintainer: Jamie Lentin <lentinj@shuttlethread.com>
Description: Creates and manages a PostgreSQL database suitable for storing fisheries data and aggregating ready for use within a Gadget <https://hafro.github.io/gadget> model. See <https://mareframe.github.io/mfdb> for more information.
License: GPL-3
Depends: R (>= 3.1.1)
Imports: logging (>= 0.7-103), DBI (>= 0.3.1), getPass (>= 0.1-1), RPostgreSQL (>= 0.4)
Suggests: unittest (>= 1.2), dplyr (>= 0.7.1), dbplyr (>= 1.0.0)
LazyData: true
NeedsCompilation: no
Packaged: 2020-04-10 11:44:33 UTC; lentinj
Author: Jamie Lentin [aut, cre, cph], Bjarki Thor Elvarsson [aut]
Repository: CRAN
Date/Publication: 2020-04-14 11:00:10 UTC

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New package GPvecchia with initial version 0.1.2
Package: GPvecchia
Type: Package
Title: Scalable Gaussian-Process Approximations
Version: 0.1.2
Date: 2020-04-03
Authors@R: c( person("Matthias", "Katzfuss", role=c("aut"), email="katzfuss@gmail.com"), person("Marcin", "Jurek", role=c("aut", "cre"), email="marcinjurek1988@gmail.com"), person("Daniel", "Zilber", role="aut"), person("Wenlong", "Gong", role="aut"), person("Joe", "Guinness", role="ctb"), person("Jingjie", "Zhang", role="ctb"), person("Florian", "Schaefer", role="ctb"))
Maintainer: Marcin Jurek <marcinjurek1988@gmail.com>
Author: Matthias Katzfuss [aut], Marcin Jurek [aut, cre], Daniel Zilber [aut], Wenlong Gong [aut], Joe Guinness [ctb], Jingjie Zhang [ctb], Florian Schaefer [ctb]
Description: Fast scalable Gaussian process approximations, particularly well suited to spatial (aerial, remote-sensed) and environmental data, described in more detail in Katzfuss and Guinness (2017) <arXiv:1708.06302>. Package also contains a fast implementation of the incomplete Cholesky decomposition (IC0), based on Schaefer et al. (2019) <arXiv:1706.02205> and MaxMin ordering proposed in Guinness (2018) <arXiv:1609.05372>.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.16), methods, stats, sparseinv, fields, Matrix(>= 1.2.14), parallel, GpGp, FNN
LinkingTo: Rcpp, RcppArmadillo, BH
RoxygenNote: 6.1.1
Suggests: mvtnorm, knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-04-10 13:46:45 UTC; marcin
Repository: CRAN
Date/Publication: 2020-04-14 10:10:06 UTC

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New package gotop with initial version 0.1.0
Package: gotop
Title: Scroll Back to Top Icon in R Markdown and Shiny
Version: 0.1.0
Authors@R: c(person(given = "Félix", family = "Luginbuhl", role = c("aut", "cre"), email = "felix.luginbuhl@protonmail.ch") )
Description: Add a scroll back to top 'Font Awesome' icon in R Markdown documents and Shiny apps using 'jQuery GoTop'.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: jsonlite, htmltools, rmarkdown
URL: https://felixluginbuhl.com/gotop, https://github.com/lgnbhl/gotop
BugReports: https://github.com/lgnbhl/gotop/issues
NeedsCompilation: no
Packaged: 2020-04-07 19:11:12 UTC; Felix
Author: Félix Luginbuhl [aut, cre]
Maintainer: Félix Luginbuhl <felix.luginbuhl@protonmail.ch>
Repository: CRAN
Date/Publication: 2020-04-14 10:10:02 UTC

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Package cellWise updated to version 2.1.1 with previous version 2.1.0 dated 2019-02-25

Title: Analyzing Data with Cellwise Outliers
Description: Tools for detecting cellwise outliers and robust methods to analyze data which may contain them. Contains the implementation of the algorithms described in Rousseeuw and Van den Bossche (2018) <doi:10.1080/00401706.2017.1340909>, Hubert et al. (2019) <doi:10.1080/00401706.2018.1562989>, Raymaekers and Rousseeuw (2019) <doi:10.1080/00401706.2019.1677270>.
Author: Jakob Raymaekers [aut, cre], Peter Rousseeuw [aut], Wannes Van den Bossche [aut], Mia Hubert [aut]
Maintainer: Jakob Raymaekers <jakob.raymaekers@kuleuven.be>

Diff between cellWise versions 2.1.0 dated 2019-02-25 and 2.1.1 dated 2020-04-14

 DESCRIPTION                     |   10 -
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 build/vignette.rds              |binary
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New package SetMethods with initial version 2.5
Package: SetMethods
Type: Package
Title: Functions for Set-Theoretic Multi-Method Research and Advanced QCA
Version: 2.5
Date: 2020-04-13
Author: Ioana-Elena Oana [aut, cre], Juraj Medzihorsky [aut], Mario Quaranta [aut], Carsten Q. Schneider [aut]
Maintainer: Ioana-Elena Oana <ioana.oana@eui.eu>
Description: Functions for performing set-theoretic multi-method research, QCA for clustered data, theory evaluation, Enhanced Standard Analysis, indirect calibration, radar visualisations. Additionally it includes data to replicate the examples in the book by Oana, I.E, C. Q. Schneider, and E. Thomann. Qualitative Comparative Analysis (QCA) using R: A Gentle Introduction. Cambridge University Press and C. Q. Schneider and C. Wagemann "Set Theoretic Methods for the Social Sciences", Cambridge University Press.
Depends: QCA, admisc, methods, ggplot2, ggrepel, stargazer, R (>= 3.5.0)
Imports: lattice, scatterplot3d, fmsb, betareg
License: GPL-2
Packaged: 2020-04-13 11:39:09 UTC; ioana
NeedsCompilation: no
Date/Publication: 2020-04-14 09:20:06 UTC
Repository: CRAN

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Package partialAR updated to version 1.0.12 with previous version 1.0.11 dated 2018-03-06

Title: Partial Autoregression
Description: A time series is said to be partially autoregressive if it can be represented as a sum of a random walk and an autoregressive sequence without unit roots. This package fits partially autoregressive time series, where the autoregressive component is AR(1). This may be of use in modeling certain financial time series.
Author: Matthew Clegg [aut, cre, cph]
Maintainer: Matthew Clegg <matthewcleggphd@gmail.com>

Diff between partialAR versions 1.0.11 dated 2018-03-06 and 1.0.12 dated 2020-04-14

 partialAR-1.0.11/partialAR/src/registerDynamicSymbol.c |only
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 partialAR-1.0.12/partialAR/tests/tests.R               |    4 
 6 files changed, 97 insertions(+), 110 deletions(-)

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New package letsR with initial version 3.2
Package: letsR
Type: Package
Title: Data Handling and Analysis in Macroecology
Version: 3.2
Date: 2020-04-11
Author: Bruno Vilela & Fabricio Villalobos
Maintainer: Bruno Vilela <bvilela.bv@gmail.com>
Description: Handling, processing, and analyzing geographic data on species' distributions and environmental variables. Read Vilela & Villalobos (2015) <doi: 10.1111/2041-210X.12401> for details.
License: GPL-2
Imports: XML, geosphere, fields, maptools, sp, rgdal, rgeos, methods
Depends: R (>= 3.1.0), raster, maps
Suggests: testthat, devtools
LazyData: true
URL: http://onlinelibrary.wiley.com/doi/10.1111/2041-210X.12401/abstract, https://github.com/macroecology/letsR
BugReports: https://github.com/macroecology/letsR/issues
RoxygenNote: 7.1.0
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-04-11 17:17:04 UTC; brunovilela
Repository: CRAN
Date/Publication: 2020-04-14 09:30:02 UTC

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Package heemod updated to version 0.12.0 with previous version 0.11.0 dated 2019-10-22

Title: Markov Models for Health Economic Evaluations
Description: An implementation of the modelling and reporting features described in reference textbook and guidelines (Briggs, Andrew, et al. Decision Modelling for Health Economic Evaluation. Oxford Univ. Press, 2011; Siebert, U. et al. State-Transition Modeling. Medical Decision Making 32, 690-700 (2012).): deterministic and probabilistic sensitivity analysis, heterogeneity analysis, time dependency on state-time and model-time (semi-Markov and non-homogeneous Markov models), etc.
Author: Kevin Zarca [aut, cre], Antoine Filipovic-Pierucci [aut], Matthew Wiener [ctb], Zdenek Kabat [ctb], Vojtech Filipec [ctb], Jordan Amdahl [ctb], Yonatan Carranza Alarcon [ctb], Vince Daniels [ctb]
Maintainer: Kevin Zarca <kevin.zarca@gmail.com>

Diff between heemod versions 0.11.0 dated 2019-10-22 and 0.12.0 dated 2020-04-14

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 66 files changed, 647 insertions(+), 548 deletions(-)

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Package owl (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:

2020-02-11 0.1.1

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New package themetagenomics with initial version 1.0.1
Package: themetagenomics
Title: Exploring Thematic Structure and Predicted Functionality of 16s rRNA Amplicon Data
Version: 1.0.1
Authors@R: c( person("Stephen", "Woloszynek", email = "sw424@drexel.edu", role = c("aut", "cre")) )
Description: A means to explore the structure of 16S rRNA surveys using a Structural Topic Model coupled with functional prediction. The user provides an abundance table, sample metadata, and taxonomy information, and themetagenomics infers associations between topics and sample features, as well as topics and predicted functional content. Functional prediction can be accomplished via Tax4Fun (for Silva references) and PICRUSt (for GreenGeenes references).
URL: http://github.com/EESI/themetagenomics
BugReports: http://github.com/EESI/themetagenomics/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: TRUE
Depends: R (>= 3.2.5), Rcpp (>= 0.11.3)
Imports: ggplot2, lda, lme4 (>= 1.1.12), Matrix, plotly (>= 4.5.6), rstan (>= 2.14.0), scales, shiny (>= 1.0.0), stats, stats4, stm (>= 1.1.4),
Suggests: assertthat, covr, huge, igraph, inline, knitr, networkD3, proxy, rmarkdown, RcppArmadillo, Rtsne, testthat, vegan, viridis,
LinkingTo: Rcpp
RoxygenNote: 7.0.2
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-04-13 22:09:09 UTC; sw1
Author: Stephen Woloszynek [aut, cre]
Maintainer: Stephen Woloszynek <sw424@drexel.edu>
Repository: CRAN
Date/Publication: 2020-04-14 09:00:02 UTC

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Package terra updated to version 0.5-8 with previous version 0.5-2 dated 2020-03-20

Title: Classes and Methods for Spatial Data
Description: Classes and methods for spatial data, especially raster data. Methods allow for low-level data manipulation as well as high-level global, local, zonal, and focal computation. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction. The user-interface is very similar to that of the 'raster' package; but it is simpler and faster. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/terra/> to get started.
Author: Robert J. Hijmans [cre, aut] (<https://orcid.org/0000-0001-5872-2872>), Roger Bivand [ctb] (install script, GDAL/GEOS code), Karl Forner [ctb] (progress bar), Charles Karney [ctb] (GeographicLib), Edzer Pebesma [ctb] (GDAL/GEOS code from sf), Darel Finley [ctb] (polygon fill approach)
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

Diff between terra versions 0.5-2 dated 2020-03-20 and 0.5-8 dated 2020-04-14

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More information about terra at CRAN
Permanent link

Package readxlsb updated to version 0.1.3 with previous version 0.1.2 dated 2019-09-12

Title: Read 'Excel' Binary (.xlsb) Workbooks
Description: Import data from 'Excel' binary (.xlsb) workbooks into R.
Author: Michael Allen [aut, cre]
Maintainer: Michael Allen <michael@velofrog.com>

Diff between readxlsb versions 0.1.2 dated 2019-09-12 and 0.1.3 dated 2020-04-14

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Permanent link

Package RcppArmadillo updated to version 0.9.860.2.0 with previous version 0.9.850.1.0 dated 2020-02-09

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'. Note that Armadillo requires a fairly recent compiler; for the g++ family at least version 4.6.* is required.
Author: Dirk Eddelbuettel, Romain Francois, Doug Bates and Binxiang Ni
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppArmadillo versions 0.9.850.1.0 dated 2020-02-09 and 0.9.860.2.0 dated 2020-04-14

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More information about RcppArmadillo at CRAN
Permanent link

Package PKI updated to version 0.1-7 with previous version 0.1-5.1 dated 2017-09-16

Title: Public Key Infrastucture for R Based on the X.509 Standard
Description: PKI functions such as verifying certificates, RSA encription and signing which can be used to build PKI infrastructure and perform cryptographic tasks.
Author: Simon Urbanek <Simon.Urbanek@r-project.org>
Maintainer: Simon Urbanek <Simon.Urbanek@r-project.org>

Diff between PKI versions 0.1-5.1 dated 2017-09-16 and 0.1-7 dated 2020-04-14

 DESCRIPTION    |    9 ++++---
 MD5            |   15 ++++++------
 NEWS           |   17 ++++++++++++-
 R/rsa.R        |    3 +-
 configure      |   71 +++++++++++++++++++++++++++++++++++++++++++++++++++++++--
 configure.ac   |   22 ++++++++++++++++-
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 9 files changed, 136 insertions(+), 24 deletions(-)

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New package MiRKAT with initial version 1.1.0
Package: MiRKAT
Title: Microbiome Regression-Based Analysis Tests
Version: 1.1.0
Authors@R: c(person("Anna", "Plantinga", role = c("aut", "cre"), email = "amp9@williams.edu"), person("Nehemiah", "Wilson", role = c("aut", "ctb")), person("Haotian", "Zheng", role = c("aut", "ctb")), person("Xiang", "Zhan", role = c("aut", "ctb")), person("Michael", "Wu", role = "aut"), person("Ni", "Zhao", role = c("aut", "ctb")), person("Jun", "Chen", role = "aut"))
Maintainer: Anna Plantinga <amp9@williams.edu>
Description: Test for overall association between microbiome composition data and phenotypes via phylogenetic kernels. The phenotype can be univariate continuous or binary (Zhao et al. (2015) <doi:10.1016/j.ajhg.2015.04.003>), survival outcomes (Plantinga et al. (2017) <doi:10.1186/s40168-017-0239-9>), multivariate (Zhan et al. (2017) <doi:10.1002/gepi.22030>) and structured phenotypes (Zhan et al. (2017) <doi:10.1111/biom.12684>). The package can also use robust and quantile regression (Fu et al. (2020+), in preparation). In each case, the microbiome community effect is modeled nonparametrically through a kernel function, which can incorporate phylogenetic tree information.
Depends: R (>= 3.0.2)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
NeedsCompilation: no
Imports: MASS, CompQuadForm, quantreg, GUniFrac, PearsonDS, lme4, Matrix, permute, mixtools, survival, ecodist, stats
Suggests: knitr, propr, cluster, dirmult, vegan, rmarkdown, tidyverse, kableExtra
VignetteBuilder: knitr, rmarkdown
Packaged: 2020-04-13 18:06:56 UTC; anna
Author: Anna Plantinga [aut, cre], Nehemiah Wilson [aut, ctb], Haotian Zheng [aut, ctb], Xiang Zhan [aut, ctb], Michael Wu [aut], Ni Zhao [aut, ctb], Jun Chen [aut]
Repository: CRAN
Date/Publication: 2020-04-14 08:50:16 UTC

More information about MiRKAT at CRAN
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Package KeyboardSimulator updated to version 2.5.0 with previous version 2.2.0 dated 2020-03-30

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], Garry Hopwood [ctb], Chieh Hsu [ctb]
Maintainer: Jim Chen <jim71183@gmail.com>

Diff between KeyboardSimulator versions 2.2.0 dated 2020-03-30 and 2.5.0 dated 2020-04-14

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Package FAMoS updated to version 0.3.0 with previous version 0.2.0 dated 2019-05-26

Title: A Flexible Algorithm for Model Selection
Description: Given a set of parameters describing model dynamics and a corresponding cost function, FAMoS performs a dynamic forward-backward model selection on a specified selection criterion. It also applies a non-local swap search method. Works on any cost function. For detailed information see Gabel et al. (2019) <doi:10.1371/journal.pcbi.1007230>.
Author: Michael Gabel, Tobias Hohl
Maintainer: Michael Gabel <m_gabel@gmx.de>

Diff between FAMoS versions 0.2.0 dated 2019-05-26 and 0.3.0 dated 2020-04-14

 DESCRIPTION                                                                 |   11 
 MD5                                                                         |   74 
 NAMESPACE                                                                   |   34 
 NEWS.md                                                                     |   34 
 R/base_optim_function.R                                                     |  641 +--
 R/combine_and_fit_function.R                                                |    4 
 R/combine_par_function.R                                                    |   12 
 R/famos_function.R                                                          | 1970 +++++-----
 R/famos_performance_function.R                                              |    7 
 R/get_most_distant_function.R                                               |   10 
 R/model_appr_function.R                                                     |   26 
 README.md                                                                   |  110 
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 man/aicc.weights.Rd                                                         |    3 
 man/base.optim.Rd                                                           |   22 
 man/combine.and.fit.Rd                                                      |    7 
 man/famos.Rd                                                                |   48 
 man/famos.performance.Rd                                                    |   10 
 man/famos.run.Rd                                                            |   36 
 man/get.most.distant.Rd                                                     |    2 
 man/sc.order.Rd                                                             |   10 
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New package cutpointr with initial version 1.0.2
Package: cutpointr
Type: Package
Title: Determine and Evaluate Optimal Cutpoints in Binary Classification Tasks
Version: 1.0.2
Date: 2020-04-06
Authors@R: person("Christian", "Thiele", , "c.thiele@gmx-topmail.de", c("aut", "cre"))
Description: Estimate cutpoints that optimize a specified metric in binary classification tasks and validate performance using bootstrapping. Some methods for more robust cutpoint estimation and various plotting functions are included.
License: GPL-3
URL: https://github.com/thie1e/cutpointr
BugReports: https://github.com/thie1e/cutpointr/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
LinkingTo: Rcpp
Imports: gridExtra (>= 2.2.1), foreach (>= 1.4.3), dplyr (>= 0.8.0), tidyr (>= 1.0.0), purrr (>= 0.3.0), tibble (>= 3.0.0), ggplot2 (>= 3.0.0), Rcpp (>= 0.12.12), stats, utils, rlang (>= 0.4.0)
RoxygenNote: 7.1.0
Suggests: KernSmooth (>= 2.23-15), fANCOVA (>= 0.5-1), testthat (>= 1.0.2), doRNG (>= 1.6), doParallel (>= 1.0.11), knitr, rmarkdown, mgcv (>= 1.8), crayon (>= 1.3.4), registry (>= 0.5-1), pkgmaker(>= 0.31.1),
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-04-13 20:36:05 UTC; Khl4v
Author: Christian Thiele [aut, cre]
Maintainer: Christian Thiele <c.thiele@gmx-topmail.de>
Repository: CRAN
Date/Publication: 2020-04-14 08:50:10 UTC

More information about cutpointr at CRAN
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Package BayesNetBP updated to version 1.5.2 with previous version 1.4.0 dated 2018-08-22

Title: Bayesian Network Belief Propagation
Description: Belief propagation methods in Bayesian Networks to propagate evidence through the network. The implementation of these methods are based on the article: Cowell, RG (2005). Local Propagation in Conditional Gaussian Bayesian Networks <http://www.jmlr.org/papers/volume6/cowell05a/>. The optional 'cyjShiny' package for running the Shiny app is available at <https://github.com/cytoscape/cyjShiny>. Please see the example in the documentation of 'runBayesNetApp' function for installing 'cyjShiny' package from GitHub.
Author: Han Yu, Rachael Blair, Janhavi Moharil, Andrew Yan
Maintainer: Han Yu <hyu9@buffalo.edu>

Diff between BayesNetBP versions 1.4.0 dated 2018-08-22 and 1.5.2 dated 2020-04-14

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More information about BayesNetBP at CRAN
Permanent link

New package aws.kms with initial version 0.1.4
Package: aws.kms
Title: 'AWS Key Management Service' Client Package
Version: 0.1.4
Authors@R: c(person("Thomas J.", "Leeper", role = "aut", email = "thosjleeper@gmail.com", comment = c(ORCID = "0000-0003-4097-6326")), person("Simon", "Urbanek", role = c("cre", "ctb"), email = "simon.urbanek@R-project.org") )
Description: Client package for the 'AWS Key Management Service' <https://aws.amazon.com/kms/>, a cloud service for managing encryption keys.
License: GPL (>= 2)
URL: https://github.com/cloudyr/aws.kms
BugReports: https://github.com/cloudyr/aws.kms/issues
Imports: httr, jsonlite, base64enc, aws.signature (>= 0.4.0)
Encoding: UTF-8
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-04-13 23:26:42 UTC; svnuser
Author: Thomas J. Leeper [aut] (<https://orcid.org/0000-0003-4097-6326>), Simon Urbanek [cre, ctb]
Maintainer: Simon Urbanek <simon.urbanek@R-project.org>
Repository: CRAN
Date/Publication: 2020-04-14 08:40:03 UTC

More information about aws.kms at CRAN
Permanent link

Package Rdimtools updated to version 1.0.0 with previous version 0.4.2 dated 2018-12-21

Title: Dimension Reduction and Estimation Methods
Description: We provide linear and nonlinear dimension reduction techniques. Intrinsic dimension estimation methods for exploratory analysis are also provided. For more details on dimensionality techniques, see the paper by Ma and Zhu (2013) <doi:10.1111/j.1751-5823.2012.00182.x> if you are interested in statistical approach, or Engel, Huttenberger, and Hamann (2012) <doi:10.4230/OASIcs.VLUDS.2011.135> for a broader multi-disciplinary overview.
Author: Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>), Changhee Suh [ctb]
Maintainer: Kisung You <kyoustat@gmail.com>

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Package LOST updated to version 2.0.2 with previous version 1.3 dated 2017-04-20

Title: Missing Morphometric Data Simulation and Estimation
Description: Functions for simulating missing morphometric data randomly, with taxonomic bias and with anatomical bias. LOST also includes functions for estimating linear and geometric morphometric data.
Author: J. Arbour, C. Brown
Maintainer: J. Arbour <jessica.arbour@mtsu.edu>

Diff between LOST versions 1.3 dated 2017-04-20 and 2.0.2 dated 2020-04-14

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Package cvms updated to version 1.0.0 with previous version 0.3.2 dated 2019-12-01

Title: Cross-Validation for Model Selection
Description: Cross-validate one or multiple regression and classification models and get relevant evaluation metrics in a tidy format. Validate the best model on a test set and compare it to a baseline evaluation. Alternatively, evaluate predictions from an external model. Currently supports regression and classification (binary and multiclass). Described in chp. 5 of Jeyaraman, B. P., Olsen, L. R., & Wambugu M. (2019, ISBN: 9781838550134).
Author: Ludvig Renbo Olsen [aut, cre], Benjamin Hugh Zachariae [aut]
Maintainer: Ludvig Renbo Olsen <r-pkgs@ludvigolsen.dk>

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Package Umpire updated to version 2.0.0 with previous version 1.3.9 dated 2020-02-03

Title: Simulating Realistic Gene Expression and Clinical Data
Description: The Ultimate Microrray Prediction, Reality and Inference Engine (UMPIRE) is a package to facilitate the simulation of realistic microarray data sets with links to associated outcomes. See Zhang and Coombes (2012) <doi:10.1186/1471-2105-13-S13-S1>. Version 2.0 adds the ability to simulate realistic mixed-typed clinical data.
Author: Kevin R. Coombes, Jiexin Zhang, Caitlin E. Coombes
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package textrecipes updated to version 0.2.0 with previous version 0.1.0 dated 2020-03-05

Title: Extra 'Recipes' for Text Processing
Description: Converting text to numerical features requires specifically created procedures, which are implemented as steps according to the 'recipes' package. These steps allows for tokenization, filtering, counting (tf and tfidf) and feature hashing.
Author: Emil Hvitfeldt [aut, cre] (<https://orcid.org/0000-0002-0679-1945>)
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>

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Package gettz updated to version 0.0.4 with previous version 0.0.3 dated 2016-11-05

Title: Get the Timezone Information
Description: A function to retrieve the system timezone on Unix systems which has been found to find an answer when 'Sys.timezone()' has failed. It is based on an answer by Duane McCully posted on 'StackOverflow', and adapted to be callable from R. The package also builds on Windows, but just returns NULL.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between gettz versions 0.0.3 dated 2016-11-05 and 0.0.4 dated 2020-04-14

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