Fri, 30 Apr 2021

Package rlang updated to version 0.4.11 with previous version 0.4.10 dated 2020-12-30

Title: Functions for Base Types and Core R and 'Tidyverse' Features
Description: A toolbox for working with base types, core R features like the condition system, and core 'Tidyverse' features like tidy evaluation.
Author: Lionel Henry [aut, cre], Hadley Wickham [aut], mikefc [cph] (Hash implementation based on Mike's xxhashlite), Yann Collet [cph] (Author of the embedded xxHash library), RStudio [cph]
Maintainer: Lionel Henry <lionel@rstudio.com>

Diff between rlang versions 0.4.10 dated 2020-12-30 and 0.4.11 dated 2021-04-30

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Package sjdbc updated to version 1.6.1 with previous version 1.6.0 dated 2016-12-16

Title: JDBC Driver Interface
Description: Provides a database-independent JDBC interface.
Author: TIBCO Software Inc.
Maintainer: Joe Roberts <jorobert@tibco.com>

Diff between sjdbc versions 1.6.0 dated 2016-12-16 and 1.6.1 dated 2021-04-30

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Package robustarima updated to version 0.2.6 with previous version 0.2.5 dated 2017-02-23

Title: Robust ARIMA Modeling
Description: Functions for fitting a linear regression model with ARIMA errors using a filtered tau-estimate.
Author: Stephen Kaluzny [aut, cre], TIBCO Software Inc. [aut, cph]
Maintainer: Stephen Kaluzny <spkaluzny@gmail.com>

Diff between robustarima versions 0.2.5 dated 2017-02-23 and 0.2.6 dated 2021-04-30

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Package R.cache updated to version 0.15.0 with previous version 0.14.0 dated 2019-12-06

Title: Fast and Light-Weight Caching (Memoization) of Objects and Results to Speed Up Computations
Description: Memoization can be used to speed up repetitive and computational expensive function calls. The first time a function that implements memoization is called the results are stored in a cache memory. The next time the function is called with the same set of parameters, the results are momentarily retrieved from the cache avoiding repeating the calculations. With this package, any R object can be cached in a key-value storage where the key can be an arbitrary set of R objects. The cache memory is persistent (on the file system).
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between R.cache versions 0.14.0 dated 2019-12-06 and 0.15.0 dated 2021-04-30

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Package naijR updated to version 0.2.2 with previous version 0.2.1 dated 2021-04-25

Title: Operations to Ease Data Analyses Specific to Nigeria
Description: A set of convenience functions as well as geographical/political data about Nigeria, aimed at simplifying work with data and information that are specific to the country.
Author: Victor Ordu [aut, cre] (<https://orcid.org/0000-0003-3716-0668>)
Maintainer: Victor Ordu <victorordu@outlook.com>

Diff between naijR versions 0.2.1 dated 2021-04-25 and 0.2.2 dated 2021-04-30

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Package gemtc updated to version 1.0-0 with previous version 0.8-8 dated 2020-11-29

Title: Network Meta-Analysis Using Bayesian Methods
Description: Network meta-analyses (mixed treatment comparisons) in the Bayesian framework using JAGS. Includes methods to assess heterogeneity and inconsistency, and a number of standard visualizations. van Valkenhoef et al. (2012) <doi:10.1002/jrsm.1054>; van Valkenhoef et al. (2015) <doi:10.1002/jrsm.1167>.
Author: Gert van Valkenhoef, Joel Kuiper
Maintainer: Gert van Valkenhoef <gert@gertvv.nl>

Diff between gemtc versions 0.8-8 dated 2020-11-29 and 1.0-0 dated 2021-04-30

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Package DBfit updated to version 2.0 with previous version 1.0 dated 2018-10-24

Title: A Double Bootstrap Method for Analyzing Linear Models with Autoregressive Errors
Description: Computes the double bootstrap as discussed in McKnight, McKean, and Huitema (2000) <doi:10.1037/1082-989X.5.1.87>. The double bootstrap method provides a better fit for a linear model with autoregressive errors than ARIMA when the sample size is small.
Author: Joseph W. McKean and Shaofeng Zhang
Maintainer: Shaofeng Zhang <shaofeng.zhang@wmich.edu>

Diff between DBfit versions 1.0 dated 2018-10-24 and 2.0 dated 2021-04-30

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Package Rquefts updated to version 1.2-1 with previous version 1.0-7 dated 2020-03-13

Title: Quantitative Evaluation of the Native Fertility of Tropical Soils
Description: An implementation of the QUEFTS (Quantitative Evaluation of the Native Fertility of Tropical Soils) model. The model (1) estimates native nutrient (N, P, K) supply of soils from a few soil chemical properties; and (2) computes crop yield given that supply, crop parameters, fertilizer application, and crop attainable yield. See Janssen et al. (1990) <doi:10.1016/0016-7061(90)90021-Z> for the technical details and Sattari et al. (2014) <doi:10.1016/j.fcr.2013.12.005> for a recent evaluation and improvements.
Author: Robert J. Hijmans [cre, aut], Pieter Pypers [ctb], Joost Wolff [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

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Package processx updated to version 3.5.2 with previous version 3.5.1 dated 2021-04-04

Title: Execute and Control System Processes
Description: Tools to run system processes in the background. It can check if a background process is running; wait on a background process to finish; get the exit status of finished processes; kill background processes. It can read the standard output and error of the processes, using non-blocking connections. 'processx' can poll a process for standard output or error, with a timeout. It can also poll several processes at once.
Author: Gábor Csárdi [aut, cre, cph] (<https://orcid.org/0000-0001-7098-9676>), Winston Chang [aut], RStudio [cph, fnd], Mango Solutions [cph, fnd]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package eha updated to version 2.9.0 with previous version 2.8.5 dated 2021-01-12

Title: Event History Analysis
Description: Parametric proportional hazards fitting with left truncation and right censoring for common families of distributions, piecewise constant hazards, and discrete models. Parametric accelerated failure time models for left truncated and right censored data. Proportional hazards models for tabular and register data. Sampling of risk sets in Cox regression, selections in the Lexis diagram, bootstrapping. Broström (2012) <doi:10.1201/9781315373942>.
Author: Göran Broström [aut, cre], Jianming Jin [ctb]
Maintainer: Göran Broström <goran.brostrom@umu.se>

Diff between eha versions 2.8.5 dated 2021-01-12 and 2.9.0 dated 2021-04-30

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Package parallelly updated to version 1.25.0 with previous version 1.24.0 dated 2021-03-14

Title: Enhancing the 'parallel' Package
Description: Utility functions that enhance the 'parallel' package and support the built-in parallel backends of the 'future' package. For example, availableCores() gives the number of CPU cores available to your R process as given by the operating system, 'cgroups' and Linux containers, R options, and environment variables, including those set by job schedulers on high-performance compute clusters. If none is set, it will fall back to parallel::detectCores(). Another example is makeClusterPSOCK(), which is backward compatible with parallel::makePSOCKcluster() while doing a better job in setting up remote cluster workers without the need for configuring the firewall to do port-forwarding to your local computer.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package openssl updated to version 1.4.4 with previous version 1.4.3 dated 2020-09-18

Title: Toolkit for Encryption, Signatures and Certificates Based on OpenSSL
Description: Bindings to OpenSSL libssl and libcrypto, plus custom SSH key parsers. Supports RSA, DSA and EC curves P-256, P-384, P-521, and curve25519. Cryptographic signatures can either be created and verified manually or via x509 certificates. AES can be used in cbc, ctr or gcm mode for symmetric encryption; RSA for asymmetric (public key) encryption or EC for Diffie Hellman. High-level envelope functions combine RSA and AES for encrypting arbitrary sized data. Other utilities include key generators, hash functions (md5, sha1, sha256, etc), base64 encoder, a secure random number generator, and 'bignum' math methods for manually performing crypto calculations on large multibyte integers.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), Oliver Keyes [ctb]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between openssl versions 1.4.3 dated 2020-09-18 and 1.4.4 dated 2021-04-30

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Package adagio updated to version 0.8.4 with previous version 0.7.1 dated 2018-05-17

Title: Discrete and Global Optimization Routines
Description: The R package 'adagio' will provide methods and algorithms for discrete optimization, e.g. knapsack and subset sum procedures, derivative-free Nelder-Mead and Hooke-Jeeves minimization, and some (evolutionary) global optimization functions.
Author: Hans W. Borchers [aut, cre]
Maintainer: Hans W. Borchers <hwborchers@googlemail.com>

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Package xROI updated to version 0.9.19 with previous version 0.9.18 dated 2021-04-20

Title: Delineate Region of Interests (ROI's) and Extract Time-Series Data from Digital Repeat Photography Images
Description: Digital repeat photography and near-surface remote sensing have been used by environmental scientists to study the environmental change for nearly a decade. However, a user-friendly, reliable, and robust platform to extract color-based statistics and time-series from a large stack of images is still lacking. Here, we present an interactive open-source toolkit, called 'xROI', that facilitate the process time-series extraction and improve the quality of the final data. 'xROI' provides a responsive environment for scientists to interactively a) delineate regions of interest (ROI), b) handle field of view (FOV) shifts, and c) extract and export time series data characterizing image color (i.e. red, green and blue channel digital numbers for the defined ROI). Using 'xROI', user can detect FOV shifts without minimal difficulty. The software gives user the opportunity to readjust the mask files or redraw new ones every time an FOV shift occurs. 'xROI' helps to significantly improve data accuracy and continuity.
Author: Bijan Seyednasrollah, Thomas Milliman, Andrew D. Richardson
Maintainer: Bijan Seyednasrollah <bijan.s.nasr@gmail.com>

Diff between xROI versions 0.9.18 dated 2021-04-20 and 0.9.19 dated 2021-04-30

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Package gllvm updated to version 1.3.0 with previous version 1.2.3 dated 2020-12-11

Title: Generalized Linear Latent Variable Models
Description: Analysis of multivariate data using generalized linear latent variable models (gllvm). Estimation is performed using either Laplace approximation method or variational approximation method implemented via TMB (Kristensen et al., (2016), <doi:10.18637/jss.v070.i05>). For details see Niku et al. (2019a) <doi:10.1371/journal.pone.0216129> and Niku et al. (2019b) <doi:10.1111/2041-210X.13303>.
Author: Jenni Niku [aut, cre], Wesley Brooks [aut], Riki Herliansyah [aut], Francis K.C. Hui [aut], Sara Taskinen [aut], David I. Warton [aut], Bert van der Veen [aut]
Maintainer: Jenni Niku <jenni.m.e.niku@jyu.fi>

Diff between gllvm versions 1.2.3 dated 2020-12-11 and 1.3.0 dated 2021-04-30

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Package benford updated to version 0.2.0 with previous version 0.1.0 dated 2021-02-07

Title: Benford's Analysis on Large Data Sets
Description: Perform the Benford's Analysis to a data set in order to evaluate if it contains human fabricated data. For more details on the method see Moreau, 2021, Model Assist. Statist. Appl., in press.
Author: Vitor Hugo Moreau
Maintainer: Vitor Hugo Moreau <vitorhmc@ufba.br>

Diff between benford versions 0.1.0 dated 2021-02-07 and 0.2.0 dated 2021-04-30

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Package ARPobservation updated to version 1.2.1 with previous version 1.2.0 dated 2019-06-20

Title: Tools for Simulating Direct Behavioral Observation Recording Procedures Based on Alternating Renewal Processes
Description: Tools for simulating data generated by direct observation recording. Behavior streams are simulated based on an alternating renewal process, given specified distributions of event durations and interim times. Different procedures for recording data can then be applied to the simulated behavior streams. Functions are provided for the following recording methods: continuous duration recording, event counting, momentary time sampling, partial interval recording, whole interval recording, and augmented interval recording.
Author: James E. Pustejovsky, with contributions from Daniel M. Swan
Maintainer: James E. Pustejovsky <jepusto@gmail.com>

Diff between ARPobservation versions 1.2.0 dated 2019-06-20 and 1.2.1 dated 2021-04-30

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Package SingleCaseES updated to version 0.4.4 with previous version 0.4.3 dated 2019-08-29

Title: A Calculator for Single-Case Effect Sizes
Description: Provides R functions for calculating basic effect size indices for single-case designs, including several non-overlap measures and parametric effect size measures, and for estimating the gradual effects model developed by Swan and Pustejovsky (2018) <DOI:10.1080/00273171.2018.1466681>. Standard errors and confidence intervals (based on the assumption that the outcome measurements are mutually independent) are provided for the subset of effect sizes indices with known sampling distributions.
Author: James E. Pustejovsky [aut, cre], Daniel M. Swan [aut]
Maintainer: James E. Pustejovsky <jepusto@gmail.com>

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Package secr updated to version 4.4.1 with previous version 4.3.3 dated 2020-12-11

Title: Spatially Explicit Capture-Recapture
Description: Functions to estimate the density and size of a spatially distributed animal population sampled with an array of passive detectors, such as traps, or by searching polygons or transects. Models incorporating distance-dependent detection are fitted by maximizing the likelihood. Tools are included for data manipulation and model selection.
Author: Murray Efford
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

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Package mongolite updated to version 2.3.1 with previous version 2.3.0 dated 2021-01-19

Title: Fast and Simple 'MongoDB' Client for R
Description: High-performance MongoDB client based on 'mongo-c-driver' and 'jsonlite'. Includes support for aggregation, indexing, map-reduce, streaming, encryption, enterprise authentication, and GridFS. The online user manual provides an overview of the available methods in the package: <https://jeroen.github.io/mongolite/>.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), MongoDB, Inc [cph] (Bundled mongo-c-driver, see AUTHORS file)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between mongolite versions 2.3.0 dated 2021-01-19 and 2.3.1 dated 2021-04-30

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Package ecosim updated to version 1.3-2 with previous version 1.3-1 dated 2019-02-22

Title: Toolbox for Aquatic Ecosystem Modeling
Description: Classes and methods for implementing aquatic ecosystem models, for running these models, and for visualizing their results.
Author: Peter Reichert
Maintainer: Peter Reichert <peter.reichert@eawag.ch>

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Package dslabs updated to version 0.7.4 with previous version 0.7.3 dated 2019-12-13

Title: Data Science Labs
Description: Datasets and functions that can be used for data analysis practice, homework and projects in data science courses and workshops. 26 datasets are available for case studies in data visualization, statistical inference, modeling, linear regression, data wrangling and machine learning.
Author: Rafael A. Irizarry, Amy Gill
Maintainer: Rafael A. Irizarry <rafael_irizarry@dfci.harvard.edu>

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New package TCIU with initial version 1.2.0
Package: TCIU
Title: Spacekime Analytics, Time Complexity and Inferential Uncertainty
Version: 1.2.0
Authors@R: c(person("Yongkai", "Qiu", role = "aut", email = "yongkai@umich.edu"), person("Zhe", "Yin", role = "aut"), person("Jinwen", "Cao", role = "aut"), person("Yupeng", "Zhang", role = "aut"), person("Yuyao", "Liu", role = "aut"), person("Rongqian", "Zhang", role = "aut"), person("Rouben", "Rostamian", role = "ctb"), person("Ranjan", "Maitra", role = "ctb"), person("Daniel", "Rowe", role = "ctb"), person("Daniel", "Adrian", role = "ctb", comment = "gLRT method for complex-valued fMRI statistics"), person("Yunjie", "Guo", role = c("aut", "cre"), email = "jerryguo@umich.edu"), person("Ivo","Dinov", role = "aut", email = "statistics@umich.edu"))
URL: https://github.com/SOCR/TCIU, https://spacekime.org, https://tciu.predictive.space
BugReports: https://github.com/SOCR/TCIU/issues
Description: Provide the core functionality to transform longitudinal data to complex-time (kime) data using analytic and numerical techniques, visualize the original time-series and reconstructed kime-surfaces, perform model based (e.g., tensor-linear regression) and model-free classification and clustering methods in the book Dinov, ID and Velev, MV. (2021) "Data Science: Time Complexity, Inferential Uncertainty, and Spacekime Analytics", De Gruyter STEM Series, ISBN 978-3-11-069780-3. <https://www.degruyter.com/view/title/576646>. The package includes 18 core functions which can be separated into three groups. 1) draw longitudinal data, such as fMRI time-series, and forecast or transform the time-series data. 2) simulate real-valued time-series data, e.g., fMRI time-courses, detect the activated areas, report the corresponding p-values, and visualize the p-values in the 3D brain space. 3) Laplace transform and kimesurface reconstructions of the fMRI data.
Depends: R (>= 3.5.0)
Imports: stats, ggplot2, dplyr, tidyr, RColorBrewer, fancycut, scales, plotly, gridExtra, ggpubr, ICSNP, AnalyzeFMRI, rrcov, geometry, DT, forecast, fmri, pracma, zoo, extraDistr, parallel, foreach, spatstat.core, spatstat.geom, cubature, doParallel, reshape2, MultiwayRegression
Suggests: oro.nifti, magrittr, knitr, rmarkdown, webshot
License: GPL-3
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
SystemRequirements: GNU make
Packaged: 2021-04-30 12:01:05 UTC; gyj99
Author: Yongkai Qiu [aut], Zhe Yin [aut], Jinwen Cao [aut], Yupeng Zhang [aut], Yuyao Liu [aut], Rongqian Zhang [aut], Rouben Rostamian [ctb], Ranjan Maitra [ctb], Daniel Rowe [ctb], Daniel Adrian [ctb] (gLRT method for complex-valued fMRI statistics), Yunjie Guo [aut, cre], Ivo Dinov [aut]
Maintainer: Yunjie Guo <jerryguo@umich.edu>
Repository: CRAN
Date/Publication: 2021-04-30 15:10:03 UTC

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Package anim.plots updated to version 0.2.2 with previous version 0.2.1 dated 2019-05-16

Title: Simple Animated Plots for R
Description: Simple animated versions of basic R plots, using the 'animation' package. Includes animated versions of plot, barplot, persp, contour, filled.contour, hist, curve, points, lines, text, symbols, segments, and arrows.
Author: David Hugh-Jones <davidhughjones@gmail.com>
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

Diff between anim.plots versions 0.2.1 dated 2019-05-16 and 0.2.2 dated 2021-04-30

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Package simplevis updated to version 3.0.0 with previous version 2.6.0 dated 2021-04-09

Title: Make 'ggplot2' and 'leaflet' Visualisation Easier
Description: Wrapper functions to make 'ggplot2' and 'leaflet' visualisation easier.
Author: David Hodge [aut, cre] (<https://orcid.org/0000-0002-3868-7501>), Statistics New Zealand [cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

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Package curl updated to version 4.3.1 with previous version 4.3 dated 2019-12-02

Title: A Modern and Flexible Web Client for R
Description: The curl() and curl_download() functions provide highly configurable drop-in replacements for base url() and download.file() with better performance, support for encryption (https, ftps), gzip compression, authentication, and other 'libcurl' goodies. The core of the package implements a framework for performing fully customized requests where data can be processed either in memory, on disk, or streaming via the callback or connection interfaces. Some knowledge of 'libcurl' is recommended; for a more-user-friendly web client see the 'httr' package which builds on this package with http specific tools and logic.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), Hadley Wickham [ctb], RStudio [cph]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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New package BuildSys with initial version 1.0.9
Package: BuildSys
Title: System for Building and Debugging C/C++ Dynamic Libraries
Version: 1.0.9
Date: 2021-04-21
Authors@R: c(person("Paavo","Jumppanen",role=c("aut","cre"),email="paavo.jumppanen@csiro.au"))
Maintainer: Paavo Jumppanen <paavo.jumppanen@csiro.au>
Author: Paavo Jumppanen [aut, cre]
Copyright: CSIRO Marine and Atmospheric Research
Description: A build system based on 'GNU make' that creates and maintains (simply) make files in an R session and provides GUI debugging support through 'Microsoft Visual Code'.
License: GPL-2
URL: https://github.com/pjumppanen/BuildSys
BugReports: https://github.com/pjumppanen/BuildSys/issues
Imports: methods, digest
SystemRequirements: 'Microsoft Visual Code', 'Rtools' on 'Windows', 'gdb' or 'lldb' depending on which OS
NeedsCompilation: no
Packaged: 2021-04-30 06:10:49 UTC; paavo
Repository: CRAN
Date/Publication: 2021-04-30 13:20:02 UTC

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New package Rcompadre with initial version 1.0.0
Package: Rcompadre
Title: Utilities for using the 'COM(P)ADRE' Matrix Model Database
Version: 1.0.0
Authors@R: c( person(given = "Patrick", family = "Barks", email = "barks@biology.sdu.dk", role = "aut", comment = c(ORCID = "0000-0002-5947-8151")), person(given = "Danny", family = "Buss", email = "dlb50@cam.ac.uk", role = "aut"), person(given = "Roberto", family = "Salguero-Gomez", email = "rob.salguero@zoo.ox.ac.uk", role = "aut", comment = c(ORCID = "0000-0002-6085-4433")), person(given = "Iain", family = "Stott", email = "stott@biology.sdu.dk", role = "aut", comment = c(ORCID = "0000-0003-2724-7436")), person(given = "William K.", family = "Petry", email = "wpetry@ncsu.edu", role = "aut", comment = c(ORCID = "0000-0002-5230-5987")), person(given = "Tamora", family = "James", email = "tamoradjames@protonmail.com", role = "aut", comment = c(ORCID = "0000-0003-1363-4742")), person(given = "Owen", family = "Jones", email = "jones@biology.sdu.dk", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5720-4686")), person(given = "Julia", family = "Jones", email = "juagjones@gmail.com", role = "aut", comment = c(ORCID = "0000-0001-9223-1778")), person(given = "Gesa", family = "Römer", email = "gesa@biology.sdu.dk", role = "aut", comment = c(ORCID = "0000-0002-4859-5870")), person(given = "Sam", family = "Levin", role = "aut", email = "levisc8@gmail.com", comment = c(ORCID = "0000-0002-3289-9925")))
Description: Utility functions for interacting with the 'COMPADRE' and 'COMADRE' databases of matrix population models. Described in Jones et al. (2021) <doi:10.1101/2021.04.26.441330>.
License: GPL-3
URL: https://github.com/jonesor/Rcompadre
BugReports: https://github.com/jonesor/Rcompadre/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: methods, popdemo, tibble
Suggests: spelling, knitr, rmarkdown, testthat, popbio, ggplot2, maps, dplyr, ggtern, covr, rcrossref
VignetteBuilder: knitr
Collate: 'CompadreDB.R' 'CompadreDB-Methods.R' 'CompadreDB-Subsetting.R' 'CompadreDB-Tidyverse.R' 'CompadreMat.R' 'ClassUnionMethods.R' 'cdb_check_species.R' 'cdb_collapse.R' 'cdb_compare.R' 'cdb_fetch.R' 'cdb_flag.R' 'cdb_flatten.R' 'cdb_id.R' 'cdb_id_stages.R' 'cdb_id_studies.R' 'cdb_mean_matF.R' 'cdb_metadata.R' 'cdb_rbind.R' 'cdb_unflatten.R' 'cdb_unnest.R' 'data.R' 'mpm_mean.R' 'mpm_methods.R' 'string_representation.R' 'zzz.R'
Language: en-GB
Config/testthat/parallel: true
NeedsCompilation: no
Packaged: 2021-04-29 21:55:05 UTC; jones
Author: Patrick Barks [aut] (<https://orcid.org/0000-0002-5947-8151>), Danny Buss [aut], Roberto Salguero-Gomez [aut] (<https://orcid.org/0000-0002-6085-4433>), Iain Stott [aut] (<https://orcid.org/0000-0003-2724-7436>), William K. Petry [aut] (<https://orcid.org/0000-0002-5230-5987>), Tamora James [aut] (<https://orcid.org/0000-0003-1363-4742>), Owen Jones [aut, cre] (<https://orcid.org/0000-0001-5720-4686>), Julia Jones [aut] (<https://orcid.org/0000-0001-9223-1778>), Gesa Römer [aut] (<https://orcid.org/0000-0002-4859-5870>), Sam Levin [aut] (<https://orcid.org/0000-0002-3289-9925>)
Maintainer: Owen Jones <jones@biology.sdu.dk>
Repository: CRAN
Date/Publication: 2021-04-30 12:40:02 UTC

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New package rbioapi with initial version 0.7.0
Package: rbioapi
Title: User-Friendly R Interface to Biologic Web Services' API
Version: 0.7.0
Authors@R: person(given = "Moosa", family = "Rezwani", role = c("aut", "cre", "cph"), email = "moosa.rezwani@gmail.com")
Description: Currently fully supports miEAA, PANTHER, Reactome, STRING, and UniProt! The goal of rbioapi is to provide a user-friendly and consistent interface to biological databases and services; It is designed in a way that insulates the user from technicalities when it comes to using API services and creates a unified and easy-to-implement tool to connect to biological databases and services. With rbioapi, You are not required to have any prior technical knowledge. Just fill in a function's arguments and the rest is handled for you. This an ongoing project. New databases and services will be implemented periodically to gradually make rbioapi more comprehensive. Feel free to suggest any databases or services you often use.
License: GPL-3
URL: https://github.com/moosa-r/rbioapi
BugReports: https://github.com/moosa-r/rbioapi/issues
Imports: httr, jsonlite, utils
Suggests: DT, knitr, png, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-29 19:08:53 UTC; moosa
Author: Moosa Rezwani [aut, cre, cph]
Maintainer: Moosa Rezwani <moosa.rezwani@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-30 12:30:03 UTC

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New package purgeR with initial version 1.0
Package: purgeR
Title: Inbreeding-Purging Estimation in Pedigreed Populations
Version: 1.0
Date: 2021-04-29
Authors@R: c( person("Eugenio", "López-Cortegano", email = "elcortegano@gmail.com", role = c("aut", "cre")))
Description: Inbreeding-purging analysis of pedigreed populations, including the computation of the inbreeding coefficient, partial, ancestral and purged inbreeding coefficients, and measures of the opportunity of purging related to the individual reduction of inbreeding load. In addition, functions to calculate the effective population size and other parameters relevant to population genetics are included. Caballero A. and Toro M.A. (2000) <doi:10.1017/s0016672399004449>. García-Dorado A., Wang J. and López-Cortegano E. (2016) <doi:10.1534/g3.116.032425>. Gulisija D. and Crow J.F. (2007) <doi:10.1111/j.1558-5646.2007.00088.x>. Gutiérrez J.P., Cervantes I., Goyache F. (2009) <doi:10.1111/j.1439-0388.2009.00810.x>. López-Cortegano E., Bersabé D., Wang J., García-Dorado A. (2018) <doi:10.1038/s41437-017-0045-y>.
URL: https://gitlab.com/elcortegano/purgeR/
BugReports: https://gitlab.com/elcortegano/purgeR/-/issues/
Encoding: UTF-8
License: GPL-2
Depends: R (>= 3.5.0)
Imports: doSNOW (>= 1.0.19), foreach (>= 1.5.1), parallel, progress (>= 1.2.2), Rcpp (>= 1.0.5), RcppProgress (>= 0.4.2)
LinkingTo: Rcpp, RcppProgress
Suggests: caret (>= 6.0-86), coda (>= 0.19-4), dplyr (>= 1.0.0), e1071 (>= 1.7-4), ggplot2 (>= 3.3.1), glmnet (>= 4.0-2), gtable (>= 0.3.0), knitr (>= 1.28), magrittr (>= 1.5), pander (>= 0.6.3), plyr (>= 1.8.6), purrr (>= 0.3.4), rmarkdown (>= 2.2), scales (>= 1.1.1), stringr (>= 1.4.0), testthat (>= 2.3.2), tibble (>= 3.0.1), tidyr (>= 1.1.0), tidyselect (>= 1.1.0)
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: yes
Packaged: 2021-04-29 16:58:04 UTC; elcortegano
Author: Eugenio López-Cortegano [aut, cre]
Maintainer: Eugenio López-Cortegano <elcortegano@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-30 12:10:02 UTC

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New package mapbayr with initial version 0.4.1
Package: mapbayr
Title: MAP-Bayesian Estimation of PK Parameters
Version: 0.4.1
Authors@R: person(given = "Felicien", family = "Le Louedec", role = c("aut", "cre"), email = "lelouedec.felicien@iuct-oncopole.fr", comment = c(ORCID = "0000-0003-3699-2729"))
Description: Performs maximum a posteriori Bayesian estimation of individual pharmacokinetic parameters from a model defined in `mrgsolve`, typically for model-based therapeutic drug monitoring. Internally computes an objective function value from model and data, performs optimization and returns predictions in a convenient format.
License: GPL-3
Encoding: UTF-8
Imports: dplyr, ggplot2, magrittr, mrgsolve (>= 0.10.9), optimx, purrr, rlang, stats, stringr, tibble, tidyr
URL: https://github.com/FelicienLL/mapbayr
BugReports: https://github.com/FelicienLL/mapbayr/issues
Suggests: knitr
NeedsCompilation: no
Packaged: 2021-04-29 17:11:44 UTC; le_louedec
Author: Felicien Le Louedec [aut, cre] (<https://orcid.org/0000-0003-3699-2729>)
Maintainer: Felicien Le Louedec <lelouedec.felicien@iuct-oncopole.fr>
Repository: CRAN
Date/Publication: 2021-04-30 12:20:03 UTC

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New package dbd with initial version 0.0-8
Package: dbd
Version: 0.0-8
Date: 2021-04-30
Title: Versatile Discrete Distributions
Author: Rolf Turner <r.turner@auckland.ac.nz>
Maintainer: Rolf Turner <r.turner@auckland.ac.nz>
Description: Tools for working with a new family of versatile discrete distributions, the db ("discretised Beta") family. This package provides density (probability), distribution, inverse distribution (quantile) and random data generation functions for the db family. It provides functions to effect conveniently maximum likelihood estimation of parameters, and a variety of useful plotting functions. It provides goodness of fit tests and functions to calculate the Fisher information, different estimates of the hessian of the log likelihood and Monte Carlo estimation of the covariance matrix of the maximum likelihood parameter estimates.
Depends: R (>= 3.2.2)
Suggests: hmm.discnp, MASS
LazyData: true
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2021-04-30 01:59:58 UTC; rolf
Repository: CRAN
Date/Publication: 2021-04-30 12:50:03 UTC

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Package webfakes updated to version 1.1.3 with previous version 1.1.2 dated 2021-04-05

Title: Fake Web Apps for HTTP Testing
Description: Create a web app that makes it easier to test web clients without using the internet. It includes a web app framework with path matching, parameters and templates. Can parse various 'HTTP' request bodies. Can send 'JSON' data or files from the disk. Includes a web app that implements the <https://httpbin.org> web service.
Author: Gábor Csárdi [aut, cre], RStudio, Pbc. [cph], Civetweb contributors [ctb] (see inst/credits/ciwetweb.md), Redoc contributors [ctb] (see inst/credits/redoc.md), L. Peter Deutsch [ctb] (src/md5.h), Martin Purschke [ctb] (src/md5.h), Aladdin Enterprises [cph] (src/md5.h), Maëlle Salmon [ctb] (<https://orcid.org/0000-0002-2815-0399>)
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between webfakes versions 1.1.2 dated 2021-04-05 and 1.1.3 dated 2021-04-30

 DESCRIPTION |    6 ++---
 MD5         |    6 ++---
 NEWS.md     |    5 ++++
 src/rweb.c  |   70 +++++++++++++++++++++++++++++++++---------------------------
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Package gplite updated to version 0.12.0 with previous version 0.11.1 dated 2021-01-28

Title: Implementation for the Most Common Gaussian Process Models
Description: Implements the most common Gaussian process (GP) models using Laplace and expectation propagation (EP) approximations, maximum marginal likelihood (or posterior) inference for the hyperparameters, and sparse approximations for larger datasets.
Author: Juho Piironen [cre, aut]
Maintainer: Juho Piironen <juho.t.piironen@gmail.com>

Diff between gplite versions 0.11.1 dated 2021-01-28 and 0.12.0 dated 2021-04-30

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 R/misc.R                 |    2 -
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 README.md                |   30 +++++++++++++++++++++----
 inst/doc/quickstart.R    |   25 +++++++++++----------
 inst/doc/quickstart.Rmd  |   25 +++++++++++----------
 inst/doc/quickstart.html |   47 +++++++++++++++++++++-------------------
 man/approx.Rd            |    4 ++-
 man/gp_loo.Rd            |    9 +++++--
 man/gp_optim.Rd          |    7 +++++
 man/priors.Rd            |   10 ++++++--
 vignettes/quickstart.Rmd |   25 +++++++++++----------
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Package terra updated to version 1.2-5 with previous version 1.1-17 dated 2021-04-14

Title: Spatial Data Analysis
Description: Methods for spatial data analysis with raster and vector data. Raster 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, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/terra/> to get started. 'terra' is very similar to the 'raster' package; but 'terra' can do more, is simpler to use, and it is faster.
Author: Robert J. Hijmans [cre, aut] (<https://orcid.org/0000-0001-5872-2872>), Roger Bivand [ctb] (<https://orcid.org/0000-0003-2392-6140>), Karl Forner [ctb], Jeroen Ooms [ctb] (<https://orcid.org/0000-0002-4035-0289>), Edzer Pebesma [ctb] (<https://orcid.org/0000-0001-8049-7069>)
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

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Package splusTimeSeries updated to version 1.5.2 with previous version 1.5.0-75 dated 2018-05-29

Title: Time Series from S-PLUS
Description: A collection of classes and methods for working with time series. The code was originally available in S-PLUS.
Author: Stephen Kaluzny [aut, cre], TIBCO Software Inc. [aut, cph]
Maintainer: Stephen Kaluzny <spkaluzny@gmail.com>

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Package SoilTaxonomy updated to version 0.1.2 with previous version 0.1 dated 2021-02-25

Title: A System of Soil Classification for Making and Interpreting Soil Surveys
Description: Taxonomic dictionaries, formative element lists, and functions related to the maintenance, development and application of U.S. Soil Taxonomy. Data and functionality are based on official U.S. Department of Agriculture sources including the latest edition of the Keys to Soil Taxonomy. Descriptions and metadata are obtained from the National Soil Information System or Soil Survey Geographic databases. Other sources are referenced in the data documentation. Provides tools for understanding and interacting with concepts in the U.S. Soil Taxonomic System. Most of the current utilities are for working with taxonomic concepts at the "higher" taxonomic levels: Order, Suborder, Great Group, and Subgroup.
Author: Dylan Beaudette [aut], Andrew Brown [aut, cre]
Maintainer: Andrew Brown <andrew.g.brown@usda.gov>

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Package pivmet updated to version 0.4.0 with previous version 0.3.0 dated 2020-06-03

Title: Pivotal Methods for Bayesian Relabelling and k-Means Clustering
Description: Collection of pivotal algorithms for: relabelling the MCMC chains in order to undo the label switching problem in Bayesian mixture models, as proposed in Egidi, Pappadà, Pauli and Torelli (2018a)<doi:10.1007/s11222-017-9774-2>; initializing the centers of the classical k-means algorithm in order to obtain a better clustering solution. For further details see Egidi, Pappadà, Pauli and Torelli (2018b)<ISBN:9788891910233>.
Author: Leonardo Egidi[aut, cre], Roberta Pappadà[aut], Francesco Pauli[aut], Nicola Torelli[aut]
Maintainer: Leonardo Egidi <legidi@units.it>

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Package NADA2 updated to version 1.0.1 with previous version 1.0.0 dated 2021-02-24

Title: Data Analysis for Censored Environmental Data
Description: Contains methods described by Dennis Helsel in his book "Statistics for Censored Environmental Data using Minitab and R" (2011) and courses and videos at <https://practicalstats.com>. This package adds new functions to the `NADA` Package.
Author: Paul Julian [aut, cre], Dennis Helsel [aut, cph]
Maintainer: Paul Julian <pauljulianphd@gmail.com>

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Package influential updated to version 2.2.2 with previous version 2.2.1 dated 2021-04-24

Title: Identification and Classification of the Most Influential Nodes
Description: Contains functions for the classification and ranking of top candidate features, reconstruction of networks from adjacency matrices and data frames, analysis of the topology of the network and calculation of centrality measures, and identification of the most influential nodes. Also, a function is provided for running SIRIR model, which is the combination of leave-one-out cross validation technique and the conventional SIR model, on a network to unsupervisedly rank the true influence of vertices. Additionally, some functions have been provided for the assessment of dependence and correlation of two network centrality measures as well as the conditional probability of deviation from their corresponding means in opposite direction. Fred Viole and David Nawrocki (2013, ISBN:1490523995). Csardi G, Nepusz T (2006). "The igraph software package for complex network research." InterJournal, Complex Systems, 1695. Adopted algorithms and sources are referenced in function document.
Author: Adrian (Abbas) Salavaty [aut, cre], Mirana Ramialison [ths], Peter D. Currie [ths]
Maintainer: Adrian Salavaty <abbas.salavaty@gmail.com>

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Package gh updated to version 1.3.0 with previous version 1.2.1 dated 2021-04-01

Title: 'GitHub' 'API'
Description: Minimal client to access the 'GitHub' 'API'.
Author: Gábor Csárdi [cre, ctb], Jennifer Bryan [aut], Hadley Wickham [aut], RStudio [cph, fnd]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package emayili updated to version 0.4.10 with previous version 0.4.8 dated 2021-03-29

Title: Send Email Messages
Description: A light, simple tool for sending emails with minimal dependencies.
Author: Andrew B. Collier [aut, cre], Matt Dennis [ctb], Gerard Walsh [ctb], Antoine Bichat [ctb] (<https://orcid.org/0000-0001-6599-7081>), Daniel Fahey [ctb], Johann R. Kleinbub [ctb], Panagiotis Moulos [ctb]
Maintainer: Andrew B. Collier <andrew.b.collier@gmail.com>

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Package traineR updated to version 1.6.1 with previous version 1.0.1 dated 2020-10-29

Title: Predictive Models Homologator
Description: Methods to unify the different ways of creating predictive models and their different predictive formats. It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting, Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning, Support Vector Machines, Bayesian Methods, Linear Discriminant Analysis and Quadratic Discriminant Analysis, Logistic Regression, Penalized Logistic Regression.
Author: Oldemar Rodriguez R. [aut, cre], Andres Navarro D. [ctb, prg], Ariel Arroyo S. [ctb, prg]
Maintainer: Oldemar Rodriguez R. <oldemar.rodriguez@ucr.ac.cr>

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New package SunsVoc with initial version 0.1.2
Package: SunsVoc
Title: Constructing Suns-Voc from Outdoor Time-Series I-V Curves
Version: 0.1.2
Authors@R: c(person("Menghong", "Wang", email="mxw477@case.edu", role=c("aut"), comment = c(ORCID = "0000-0001-7349-699X")), person("Tyler J.", "Burleyson", email="tjb152@case.edu", role=c("aut","cre"), comment = c(ORCID = "0000-0002-6356-5354")), person("Jiqi", "Liu", email="jxl1763@case.edu", role=c("aut"), comment = c(ORCID = "0000-0003-2016-4160")), person("Alan J.", "Curran", email="ajc269@case.edu", role=c("aut"), comment = c(ORCID = "0000-0002-4505-8359")), person("Abdulkerim", "Gok", email="axg515@case.edu", role=c("aut","ctb"), comment = c(ORCID = "0000-0003-3433-7106")), person("Eric J.", "Schneller", email="eschneller@knights.ucf.edu", role=c("aut"), comment = c(ORCID = "0000-0002-2104-0066")), person("Kristopher O.", "Davis", email="Kristopher.Davis@ucf.edu", role=c("aut"), comment = c(ORCID = "0000-0002-5772-6254")), person("Jennifer L.", "Braid", email="jlb269@case.edu", role=c("aut"), comment = c(ORCID = "0000-0002-0677-7756")), person("Roger H.", "French", email="rxf131@case.edu", role=c("aut", "cph"), comment = c(ORCID = "0000-0002-6162-0532")))
Maintainer: Tyler J. Burleyson <tjb152@case.edu>
Description: Suns-Voc (or Isc-Voc) curves can provide the current-voltage (I-V) characteristics of the diode of photovoltaic cells without the effect of series resistance. Here, Suns-Voc curves can be constructed with outdoor time-series I-V curves [1,2,3] of full-size photovoltaic (PV) modules instead of having to be measured in the lab. Time series of four different power loss modes can be calculated based on obtained Isc-Voc curves. This material is based upon work supported by the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE) under Solar Energy Technologies Office (SETO) Agreement Number DE-EE0008172. Jennifer L. Braid is supported by the U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy administered by the Oak Ridge Institute for Science and Education (ORISE) for the DOE. ORISE is managed by Oak Ridge Associated Universities (ORAU) under DOE contract number DE-SC0014664. [1] Wang, M. et al, 2018. <doi:10.1109/PVSC.2018.8547772>. [2] Walters et al, 2018 <doi:10.1109/PVSC.2018.8548187>. [3] Guo, S. et al, 2016. <doi:10.1117/12.2236939>.
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 3.5.0)
Imports: ddiv, magrittr, stringr, dplyr, purrr, data.table, rlang
Suggests: testthat (>= 2.1.0), knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-29 15:48:04 UTC; tylerb
Author: Menghong Wang [aut] (<https://orcid.org/0000-0001-7349-699X>), Tyler J. Burleyson [aut, cre] (<https://orcid.org/0000-0002-6356-5354>), Jiqi Liu [aut] (<https://orcid.org/0000-0003-2016-4160>), Alan J. Curran [aut] (<https://orcid.org/0000-0002-4505-8359>), Abdulkerim Gok [aut, ctb] (<https://orcid.org/0000-0003-3433-7106>), Eric J. Schneller [aut] (<https://orcid.org/0000-0002-2104-0066>), Kristopher O. Davis [aut] (<https://orcid.org/0000-0002-5772-6254>), Jennifer L. Braid [aut] (<https://orcid.org/0000-0002-0677-7756>), Roger H. French [aut, cph] (<https://orcid.org/0000-0002-6162-0532>)
Repository: CRAN
Date/Publication: 2021-04-30 09:30:06 UTC

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Package flexpolyline updated to version 0.2.3 with previous version 0.2.2 dated 2021-04-20

Title: Flexible Polyline Encoding
Description: Binding to the C++ implementation of the flexible polyline encoding by HERE <https://github.com/heremaps/flexible-polyline>. The flexible polyline encoding is a lossy compressed representation of a list of coordinate pairs or coordinate triples. The encoding is achieved by: (1) Reducing the decimal digits of each value; (2) encoding only the offset from the previous point; (3) using variable length for each coordinate delta; and (4) using 64 URL-safe characters to display the result.
Author: Merlin Unterfinger [aut, cre] (<https://orcid.org/0000-0003-2020-2366>), HERE Europe B.V. [aut, cph] (Flexible polyline encoding C++ implementation)
Maintainer: Merlin Unterfinger <info@munterfinger.ch>

Diff between flexpolyline versions 0.2.2 dated 2021-04-20 and 0.2.3 dated 2021-04-30

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New package targets with initial version 0.4.2
Package: targets
Title: Dynamic Function-Oriented 'Make'-Like Declarative Workflows
Description: As a pipeline toolkit for Statistics and data science in R, the 'targets' package brings together function-oriented programming and 'Make'-like declarative workflows. It analyzes the dependency relationships among the tasks of a workflow, skips steps that are already up to date, runs the necessary computation with optional parallel workers, abstracts files as R objects, and provides tangible evidence that the results match the underlying code and data. The methodology in this package borrows from GNU 'Make' (2015, ISBN:978-9881443519) and 'drake' (2018, <doi:10.21105/joss.00550>).
Version: 0.4.2
License: MIT + file LICENSE
URL: https://docs.ropensci.org/targets/, https://github.com/ropensci/targets
BugReports: https://github.com/ropensci/targets/issues
Authors@R: c( person( given = c("William", "Michael"), family = "Landau", role = c("aut", "cre"), email = "will.landau@gmail.com", comment = c(ORCID = "0000-0003-1878-3253") ), person( given = c("Matthew", "T."), family = "Warkentin", role = "ctb" ), person( given = "Samantha", family = "Oliver", role = "rev", comment = c(ORCID = "0000-0001-5668-1165") ), person( given = "Tristan", family = "Mahr", role = "rev", comment = c(ORCID = "0000-0002-8890-5116") ), person( family = "Eli Lilly and Company", role = "cph" ))
Depends: R (>= 3.5.0)
Imports: callr (>= 3.4.3), cli (>= 2.0.2), codetools (>= 0.2.16), data.table (>= 1.12.8), digest (>= 0.6.25), igraph (>= 1.2.5), R6 (>= 2.4.1), rlang (>= 0.4.10), stats, tibble (>= 3.0.1), tidyselect (>= 1.1.0), utils, vctrs (>= 0.2.4), withr (>= 2.1.2), yaml (>= 2.2.1)
Suggests: arrow (>= 3.0.0), aws.s3 (>= 0.3.21), bs4Dash (>= 0.5.0), clustermq (>= 0.8.95.1), curl (>= 4.3), dplyr (>= 1.0.0), fst (>= 0.9.2), future (>= 1.19.1), future.callr (>= 0.6.0), gt (>= 0.2.2), keras (>= 2.2.5.0), knitr (>= 1.30), markdown (>= 1.1), rmarkdown (>= 2.4), pingr (>= 2.0.1), pkgload (>= 1.1.0), qs (>= 0.24.1), rstudioapi (>= 0.11), shiny (>= 1.5.0), shinybusy (>= 0.2.2), shinyWidgets (>= 0.5.4), testthat (>= 3.0.0), torch (>= 0.1.0), usethis (>= 1.6.3), visNetwork (>= 2.0.9)
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-04-25 16:46:22 UTC; c240390
Author: William Michael Landau [aut, cre] (<https://orcid.org/0000-0003-1878-3253>), Matthew T. Warkentin [ctb], Samantha Oliver [rev] (<https://orcid.org/0000-0001-5668-1165>), Tristan Mahr [rev] (<https://orcid.org/0000-0002-8890-5116>), Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-30 08:50:02 UTC

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Package mdatools updated to version 0.11.5 with previous version 0.11.4 dated 2021-04-23

Title: Multivariate Data Analysis for Chemometrics
Description: Projection based methods for preprocessing, exploring and analysis of multivariate data used in chemometrics. S. Kucheryavskiy (2020) <doi: 10.1016/j.chemolab.2020.103937>.
Author: Sergey Kucheryavskiy (<https://orcid.org/0000-0002-3145-7244>)
Maintainer: Sergey Kucheryavskiy <svkucheryavski@gmail.com>

Diff between mdatools versions 0.11.4 dated 2021-04-23 and 0.11.5 dated 2021-04-30

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Package betafunctions updated to version 1.5.0 with previous version 1.4.4 dated 2021-02-06

Title: Functions for Working with Two- And Four-Parameter Beta Probability Distributions
Description: Package providing a number of functions for working with Two- and Four-parameter Beta and closely related distributions (i.e., the Gamma and Binomial distributions), including parameterization in terms of moments, and fitting of Beta distributions to vectors of values. Also includes functions for estimating classification accuracy, diagnostic performance, and consistency, making use of what is generally known as the 'Livingston and Lewis approach' in the psychometric literature as the foundational method, which makes extensive use of the Beta distribution. A shiny app is available, providing a GUI for the Livingston and Lewis approach. For link, see documentation for the LL.CA() function. Livingston and Lewis (1995) <doi:10.1111/j.1745-3984.1995.tb00462.x>. Hanson (1991) <https://files.eric.ed.gov/fulltext/ED344945.pdf>. Tharwat (2020) <doi:10.1016/j.aci.2018.08.003>.
Author: Haakon Haakstad
Maintainer: Haakon Haakstad <h.t.haakstad@cemo.uio.no>

Diff between betafunctions versions 1.4.4 dated 2021-02-06 and 1.5.0 dated 2021-04-30

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Package atakrig updated to version 0.9.8 with previous version 0.9.7 dated 2020-09-28

Title: Area-to-Area Kriging
Description: Point-scale variogram deconvolution from irregular/regular spatial support according to Goovaerts, P., (2008) <doi: 10.1007/s11004-007-9129-1>; ordinary area-to-area (co)Kriging and area-to-point (co)Kriging.
Author: Maogui Hu [aut, cre], Yanwei Huang [ctb], Roger Bivand [ctb]
Maintainer: Maogui Hu <humg@lreis.ac.cn>

Diff between atakrig versions 0.9.7 dated 2020-09-28 and 0.9.8 dated 2021-04-30

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Package aopdata updated to version 0.2.2 with previous version 0.2.1 dated 2021-04-07

Title: Data from the 'Access to Opportunities Project (AOP)'
Description: Download data from the 'Access to Opportunities Project (AOP)'. The 'aopdata' package brings annual estimates of access to employment, health and education services by transport mode, as well as data on the spatial distribution of population, schools and health-care facilities at a fine spatial resolution for all cities included in the study. More info on the 'AOP' website <https://www.ipea.gov.br/acessooportunidades/en/>.
Author: Rafael H. M. Pereira [aut, cre] (<https://orcid.org/0000-0003-2125-7465>), Daniel Herszenhut [aut] (<https://orcid.org/0000-0001-8066-1105>), Marcus Saraiva [aut] (<https://orcid.org/0000-0001-6218-2338>), Ipea - Institue for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

Diff between aopdata versions 0.2.1 dated 2021-04-07 and 0.2.2 dated 2021-04-30

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Package movecost updated to version 0.7 with previous version 0.6 dated 2021-04-03

Title: Calculation of Accumulated Cost Surface, Least-Cost Paths, and Least-Cost Corridors Related to Human Movement Across the Landscape
Description: Provides the facility to calculate non-isotropic accumulated cost surface, least-cost paths, and least-cost corridors using a number of human-movement-related cost functions that can be selected by the user. It just requires a Digital Terrain Model, a start location and (optionally) destination locations. See Alberti (2019) <doi:10.1016/j.softx.2019.100331>.
Author: Gianmarco Alberti [aut, cre]
Maintainer: Gianmarco Alberti <gianmarcoalberti@gmail.com>

Diff between movecost versions 0.6 dated 2021-04-03 and 0.7 dated 2021-04-30

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New package juicr with initial version 0.1
Package: juicr
Version: 0.1
Date: 2021-04-29
Title: Automated and Manual Extraction of Numerical Data from Scientific Images
Authors@R: person(given = "Marc J.", family = "Lajeunesse", role = c("aut", "cre"), email = "lajeunesse@usf.edu", comment = c(ORCID = "0000-0002-9678-2080"))
Description: Provides a GUI interface for automating data extraction from multiple images containing scatter and bar plots, semi-automated tools to tinker with extraction attempts, and a fully-loaded point-and-click manual extractor with image zoom, calibrator, and classifier. Also provides detailed and R-independent extraction reports as fully-embedded .html records.
Depends: R (>= 3.3.2)
biocViews:
Imports: XML, RCurl
SystemRequirements: Tcl/Tk toolkit (X11 Quarts for Mac)
VignetteBuilder: R.rsp
License: GPL (>= 2)
URL: http://lajeunesse.myweb.usf.edu/ https://github.com/mjlajeunesse/ https://www.youtube.com/c/LajeunesseLab/
Encoding: UTF-8
Suggests: EBImage, R.rsp
NeedsCompilation: no
Packaged: 2021-04-29 16:39:59 UTC; lajeunesse
Author: Marc J. Lajeunesse [aut, cre] (<https://orcid.org/0000-0002-9678-2080>)
Maintainer: Marc J. Lajeunesse <lajeunesse@usf.edu>
Repository: CRAN
Date/Publication: 2021-04-30 07:10:02 UTC

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Package gausscov updated to version 0.1.1 with previous version 0.1.0 dated 2021-03-28

Title: The Gaussian Covariate Method for Variable Selection
Description: Given the standard linear model the traditional way of deciding whether to include the jth covariate is to apply the F-test to decide whether the corresponding beta coefficient is zero. The Gaussian covariate method is completely different. The question as to whether the beta coefficient is or is not zero is replaced by the question as to whether the covariate is better or worse than i.i.d. Gaussian noise. The P-value for the covariate is the probability that Gaussian noise is better. Surprisingly this can be given exactly and it is the same a the P-value for the classical model based on the F-distribution. The Gaussian covariate P-value is model free, it is the same for any data set. Using the idea it is possible to do covariate selection for a small number of covariates 25 by considering all subsets. Post selection inference causes no problems as the P-values hold whatever the data. The idea extends to stepwise regression again with exact probabilities. In the simplest version the only parameter is a specified cut-off P-value which can be interpreted as the probability of a false positive being included in the final selection. For more information see the website below and the accompanying papers: L. Davies and L. Duembgen, "Covariate Selection Based on a Model-free Approach to Linear Regression with Exact Probabilities", 2020, <arXiv:1906.01990>. L. Davies, "Lasso, Knockoff and Gaussian covariates: A comparison", 2018, <arXiv:1807.09633>.
Author: Laurie Davies [aut, cre]
Maintainer: Laurie Davies <laurie.davies@uni-due.de>

Diff between gausscov versions 0.1.0 dated 2021-03-28 and 0.1.1 dated 2021-04-30

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New package himach with initial version 0.1.2
Package: himach
Title: High Mach Finds Routes for Supersonic Aircraft
Version: 0.1.2
Authors@R: c(person(given = "David", family = "Marsh", role = c("aut", "cre"), email = "david.marsh@eurocontrol.int"), person(family = "EUROCONTROL", role = c("fnd", "cph")))
Description: For supersonic aircraft, flying subsonic over land, High Mach finds the best route between airports. Allows for coastal buffer and potentially closed regions. Uses minimal model of aircraft performance: focus is on time saved versus subsonic flight, rather than vertical flight profile. For modelling and forecasting, not for planning your flight!
License: MIT + file LICENSE
URL: https://github.com/david6marsh/himach
BugReports: https://github.com/david6marsh/himach/issues
Depends: R (>= 3.5.0)
Imports: cppRouting, data.table, dplyr (>= 1.0.0), geosphere, ggplot2, lwgeom, s2, sf (>= 0.9-7), sp, tidyr
Suggests: airportr, cowplot, knitr, methods, purrr, progress, rmarkdown, rnaturalearthdata, scales, stringr, testthat, units, utils, viridis, covr
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
Language: en-GB
NeedsCompilation: no
Packaged: 2021-04-29 16:43:47 UTC; david
Author: David Marsh [aut, cre], EUROCONTROL [fnd, cph]
Maintainer: David Marsh <david.marsh@eurocontrol.int>
Repository: CRAN
Date/Publication: 2021-04-30 07:10:05 UTC

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New package zlog with initial version 1.0.0
Package: zlog
Title: Z(log) Transformation for Laboratory Measurements
Version: 1.0.0
Date: 2021-04-29
Description: Transformation of laboratory measurements into z or z(log)-value based on given or empirical reference limits as proposed in Hoffmann et al. 2017 <doi:10.1515/labmed-2016-0087>.
Authors@R: person(given = "Sebastian", family = "Gibb", email = "mail@sebastiangibb.de", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-7406-4443"))
Maintainer: Sebastian Gibb <mail@sebastiangibb.de>
Depends: R (>= 3.6.0)
Suggests: kableExtra, knitr, rmarkdown, survival, testthat
License: GPL (>= 3)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-04-29 14:49:00 UTC; sebastian
Author: Sebastian Gibb [aut, cre] (<https://orcid.org/0000-0001-7406-4443>)
Repository: CRAN
Date/Publication: 2021-04-30 06:50:02 UTC

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New package welo with initial version 0.1.0
Package: welo
Title: Weighted and Standard Elo Rates
Version: 0.1.0
Authors@R: person("Vincenzo", "Candila", email="candilav@gmail.com", role=c("aut", "cre"))
Description: Estimates the standard and weighted Elo (WElo, Angelini et al., 2021 <doi:10.1016/j.ejor.2021.04.011>) rates. The current version provides these rates for tennis. In the future, new sports will be added. The 'welo' package offers a flexible tool to estimate the WElo and Elo rates, according to different systems of weights (games or sets) and scale factors (constant, proportional to the number of matches, with more weight on Grand Slam matches or on matches played on a specific surface). Moreover, the package gives the possibility of estimating the (bootstrap) standard errors for the rates. Finally, the package includes a betting function which automatically selects the matches on which place a bet.
License: GPL-3
Encoding: UTF-8
LazyData: true
RdMacros: Rdpack
Depends: R (>= 4.0.0),
Imports: xts (>= 0.12.0), Rdpack (>= 1.0.0), boot (>= 1.3)
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2021-04-29 16:40:45 UTC; Vincenzo
Author: Vincenzo Candila [aut, cre]
Maintainer: Vincenzo Candila <candilav@gmail.com>
Repository: CRAN
Date/Publication: 2021-04-30 06:50:05 UTC

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New package unitizer with initial version 1.4.14
Package: unitizer
Title: Interactive R Unit Tests
Description: Simplifies regression tests by comparing objects produced by test code with earlier versions of those same objects. If objects are unchanged the tests pass, otherwise execution stops with error details. If in interactive mode, tests can be reviewed through the provided interactive environment.
Version: 1.4.14
Authors@R: c( person( "Brodie", "Gaslam", email="brodie.gaslam@yahoo.com", role=c("aut", "cre")), person(family="R Core Team", email="R-core@r-project.org", role="cph", comment="Traceback function sources." ) )
Depends: methods
Imports: stats, utils, crayon (>= 1.3.2), diffobj (>= 0.1.5.9000)
VignetteBuilder: knitr
Suggests: covr, knitr, rmarkdown, testthat
License: GPL (>= 2)
URL: https://github.com/brodieG/unitizer
BugReports: https://github.com/brodieG/unitizer/issues
Collate: 'asciiml.R' 'capture.R' 'is.R' 'global.R' 'change.R' 'class_unions.R' 'list.R' 'conditions.R' 'item.R' 'deparse.R' 'text.R' 'item.sub.R' 'section.R' 'test.R' 'unitizer.R' 'exec.R' 'prompt.R' 'browse.struct.R' 'browse.R' 'demo.R' 'diff.R' 'faux_prompt.R' 'get.R' 'heal.R' 'load.R' 'ls.R' 'misc.R' 'search.R' 'options.R' 'onload.R' 'parse.R' 'rename.R' 'repairenvs.R' 'result.R' 'shims.R' 'size.R' 'state.R' 'state.compare.R' 'traceback.R' 'translate.R' 'unitize.R' 'unitize.core.R' 'unitizer-package.r' 'unitizer.add.R' 'upgrade.R'
NeedsCompilation: no
Packaged: 2021-04-29 18:43:02 UTC; bg
Author: Brodie Gaslam [aut, cre], R Core Team [cph] (Traceback function sources.)
Maintainer: Brodie Gaslam <brodie.gaslam@yahoo.com>
Repository: CRAN
Date/Publication: 2021-04-30 06:30:02 UTC

More information about unitizer at CRAN
Permanent link

Package tidyselect updated to version 1.1.1 with previous version 1.1.0 dated 2020-05-11

Title: Select from a Set of Strings
Description: A backend for the selecting functions of the 'tidyverse'. It makes it easy to implement select-like functions in your own packages in a way that is consistent with other 'tidyverse' interfaces for selection.
Author: Lionel Henry [aut, cre], Hadley Wickham [aut], RStudio [cph]
Maintainer: Lionel Henry <lionel@rstudio.com>

Diff between tidyselect versions 1.1.0 dated 2020-05-11 and 1.1.1 dated 2021-04-30

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 tests/testthat/test-eval-walk.R |    2 
 12 files changed, 508 insertions(+), 893 deletions(-)

More information about tidyselect at CRAN
Permanent link

Package SDEFSR updated to version 0.7.22 with previous version 0.7.21 dated 2020-01-28

Title: Subgroup Discovery with Evolutionary Fuzzy Systems
Description: Implementation of evolutionary fuzzy systems for the data mining task called "subgroup discovery". In particular, the algorithms presented in this package are: M. J. del Jesus, P. Gonzalez, F. Herrera, M. Mesonero (2007) <doi:10.1109/TFUZZ.2006.890662> M. J. del Jesus, P. Gonzalez, F. Herrera (2007) <doi:10.1109/MCDM.2007.369416> C. J. Carmona, P. Gonzalez, M. J. del Jesus, F. Herrera (2010) <doi:10.1109/TFUZZ.2010.2060200> C. J. Carmona, V. Ruiz-Rodado, M. J. del Jesus, A. Weber, M. Grootveld, P. González, D. Elizondo (2015) <doi:10.1016/j.ins.2014.11.030> It also provide a Shiny App to ease the analysis. The algorithms work with data sets provided in KEEL, ARFF and CSV format and also with data.frame objects.
Author: Angel M. Garcia [aut, cre], Pedro Gonzalez [aut, cph], Cristobal J. Carmona [aut, cph], Francisco Charte [ctb], Maria J. del Jesus [aut, cph]
Maintainer: Angel M. Garcia <agvico@ujaen.es>

Diff between SDEFSR versions 0.7.21 dated 2020-01-28 and 0.7.22 dated 2021-04-30

 DESCRIPTION                        |   17 +++---
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More information about SDEFSR at CRAN
Permanent link

New package POSTm with initial version 1.1
Package: POSTm
Title: Phylogeny-Guided OTU-Specific Association Test for Microbiome Data
Version: 1.1
Date: 2021-04-28
Authors@R: c(person("Caizhi", "Huang", role = "aut"), person("Jung-Ying", "Tzeng", role = "aut"), person("Shannon", "Holloway", role = c("aut", "cre"), email = "sthollow@ncsu.edu"))
Author: Caizhi Huang [aut], Jung-Ying Tzeng [aut], Shannon Holloway [aut, cre]
Maintainer: Shannon Holloway <sthollow@ncsu.edu>
Description: Implements the Phylogeny-Guided Microbiome OTU-Specific Association Test method, which boosts the testing power by adaptively borrowing information from phylogenetically close OTUs (operational taxonomic units) of the target OTU. This method is built on a kernel machine regression framework and allows for flexible modeling of complex microbiome effects, adjustments for covariates, and can accommodate both continuous and binary outcomes.
Depends: methods
Imports: CompQuadForm, ape
Suggests: multtest, rmarkdown, knitr
biocViews:
License: GPL-2
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Collate: 'ACAT.R' 'CKAT.R' 'POSTmData.R' 'distanceMatrix.R' 'getKernel.R' 'glmFit.R' 'lmFit.R' 'p.adjust.POST.R' 'plot.POST.R' 'post.R' 'print.POST.R'
NeedsCompilation: no
Packaged: 2021-04-29 13:04:41 UTC; sthollow
Repository: CRAN
Date/Publication: 2021-04-30 06:50:18 UTC

More information about POSTm at CRAN
Permanent link

New package dartR with initial version 1.9.6
Package: dartR
Title: Importing and Analysing SNP and Silicodart Data Generated by Genome-Wide Restriction Fragment Analysis
Version: 1.9.6
Date: 2021-04-29
Authors@R: c( person("Bernd", "Gruber", email="bernd.gruber@canberra.edu.au", role=c("aut","cre")), person("Arthur", "Georges", email="georges@aerg.edu.au", role="aut"), person("Jose L.", "Mijangos", email="bernd.gruber@canberra.edu.au", role=c("aut")), person("Peter J.", "Unmack", email="peter.mail2@unmack.net", rol="ctb"), person("Oliver", "Berry", email="oliver.berry@csiro.au", rol="ctb" ), person("Lindsay V.", "Clark", email="lvclark@illinois.edu", rol="ctb"), person("Floriaan", "Devloo-Delva",email="Floriaan.Devloo-Delva@csiro.au", rol="ctb"))
Description: Functions are provided that facilitate the import and analysis of SNP (single nucleotide polymorphism) and silicodart (presence/absence) data. The main focus is on data generated by DarT (Diversity Arrays Technology). However, once SNP or related fragment presence/absence data from any source is imported into a genlight object many of the functions can be used. Functions are available for input and output of SNP and silicodart data, for reporting on and filtering on various criteria (e.g. CallRate, Heterozygosity, Reproducibility, maximum allele frequency). Advanced filtering is based on Linkage Disequilibrium and HWE (Hardy-Weinberg equilibrium). Other functions are available for visualization after PCoA (Principle Coordinate Analysis), or to facilitate transfer of data between genlight/genind objects and newhybrids, related, phylip, structure, faststructure packages.
VignetteBuilder: knitr
Encoding: UTF-8
Depends: R (>= 3.5), adegenet (>= 2.0.0), ggplot2
biocViews:
Imports: stats, methods, utils, plyr, tidyr, MASS, stringr, ape, vegan, SNPRelate, StAMPP, sp, PopGenReport, hierfstat, robustbase, gridExtra, HardyWeinberg, foreach, dplyr, crayon, devtools
Suggests: knitr, rmarkdown, rgl, parallel, doParallel, data.table, reshape2, pca3d, dismo, pegas, directlabels, rgdal, leaflet.minicharts, leaflet, rrBLUP, poppr, Rcpp, igraph, qvalue, gdistance, seqinr, pheatmap, RColorBrewer, gplots, vcfR, mmod, plotly, ggthemes, ggrepel, raster
License: GPL-2
LazyData: true
NeedsCompilation: no
Packaged: 2021-04-28 23:28:46 UTC; s425824
Author: Bernd Gruber [aut, cre], Arthur Georges [aut], Jose L. Mijangos [aut], Peter J. Unmack [ctb], Oliver Berry [ctb], Lindsay V. Clark [ctb], Floriaan Devloo-Delva [ctb]
Maintainer: Bernd Gruber <bernd.gruber@canberra.edu.au>
Repository: CRAN
Date/Publication: 2021-04-30 06:50:08 UTC

More information about dartR at CRAN
Permanent link

Package traitdataform (with last version 0.6.5) was removed from CRAN

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

2021-03-22 0.6.5

Permanent link
Package mfaces updated to version 0.1-3 with previous version 0.1-2 dated 2021-02-26

Title: Fast Covariance Estimation for Multivariate Sparse Functional Data
Description: Multivariate functional principal component analysis via fast covariance estimation for multivariate sparse functional data or longitudinal data proposed by Li, Xiao, and Luo (2020) <doi:10.1002/sta4.245>.
Author: Cai Li [aut,cre] and Luo Xiao [aut]
Maintainer: Cai Li <cli9@ncsu.edu>

Diff between mfaces versions 0.1-2 dated 2021-02-26 and 0.1-3 dated 2021-04-30

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More information about mfaces at CRAN
Permanent link

Package Luminescence updated to version 0.9.11 with previous version 0.9.10 dated 2020-12-10

Title: Comprehensive Luminescence Dating Data Analysis
Description: A collection of various R functions for the purpose of Luminescence dating data analysis. This includes, amongst others, data import, export, application of age models, curve deconvolution, sequence analysis and plotting of equivalent dose distributions.
Author: Sebastian Kreutzer [aut, trl, cre, dtc] (<https://orcid.org/0000-0002-0734-2199>), Christoph Burow [aut, trl, dtc] (<https://orcid.org/0000-0002-5023-4046>), Michael Dietze [aut] (<https://orcid.org/0000-0001-6063-1726>), Margret C. Fuchs [aut] (<https://orcid.org/0000-0001-7210-1132>), Christoph Schmidt [aut] (<https://orcid.org/0000-0002-2309-3209>), Manfred Fischer [aut, trl], Johannes Friedrich [aut] (<https://orcid.org/0000-0002-0805-9547>), Norbert Mercier [aut] (<https://orcid.org/0000-0002-6375-9108>), Rachel K. Smedley [ctb] (<https://orcid.org/0000-0001-7773-5193>), Claire Christophe [ctb], Antoine Zink [ctb] (<https://orcid.org/0000-0001-7146-1101>), Julie Durcan [ctb] (<https://orcid.org/0000-0001-8724-8022>), Georgina E. King [ctb, dtc] (<https://orcid.org/0000-0003-1059-8192>), Anne Philippe [ctb], Guillaume Guerin [ctb] (<https://orcid.org/0000-0001-6298-5579>), Svenja Riedesel [aut] (<https://orcid.org/0000-0003-2936-8776>), Martin Autzen [aut] (<https://orcid.org/0000-0001-6249-426X>), Pierre Guibert [ctb] (<https://orcid.org/0000-0001-8969-8684>), Dirk Mittelstrass [aut] (<https://orcid.org/0000-0002-9567-8791>), Harrison J. Gray [aut] (<https://orcid.org/0000-0002-4555-7473>), Markus Fuchs [ths]
Maintainer: Sebastian Kreutzer <sebastian.kreutzer@aber.ac.uk>

Diff between Luminescence versions 0.9.10 dated 2020-12-10 and 0.9.11 dated 2021-04-30

 DESCRIPTION                              |   38 +-
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 NAMESPACE                                |    2 
 NEWS.md                                  |  102 +++++--
 R/Analyse_SAR.OSLdata.R                  |   76 ++---
 R/CW2pLM.R                               |   46 +--
 R/CW2pLMi.R                              |   72 ++---
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 R/extract_IrradiationTimes.R             |   48 +--
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 man/analyse_IRSAR.RF.Rd                  |   10 
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 223 files changed, 2148 insertions(+), 1569 deletions(-)

More information about Luminescence at CRAN
Permanent link

Package ggeffects updated to version 1.1.0 with previous version 1.0.2 dated 2021-03-17

Title: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs
Description: Compute marginal effects and adjusted predictions from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Effects and predictions can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The main functions are ggpredict(), ggemmeans() and ggeffect(). There is a generic plot()-method to plot the results using 'ggplot2'.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), Frederik Aust [ctb] (<https://orcid.org/0000-0003-4900-788X>), Sam Crawley [ctb] (<https://orcid.org/0000-0002-7847-0411>), Mattan S. Ben-Shachar [ctb] (<https://orcid.org/0000-0002-4287-4801>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between ggeffects versions 1.0.2 dated 2021-03-17 and 1.1.0 dated 2021-04-30

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More information about ggeffects at CRAN
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Package BiDAG updated to version 2.0.2 with previous version 2.0.1 dated 2021-04-28

Title: Bayesian Inference for Directed Acyclic Graphs
Description: Implementation of a collection of MCMC methods for Bayesian structure learning of directed acyclic graphs (DAGs), both from continuous and discrete data. For efficient inference on larger DAGs, the space of DAGs is pruned according to the data. To filter the search space, the algorithm employs a hybrid approach, combining constraint-based learning with search and score. A reduced search space is initially defined on the basis of a skeleton obtained by means of the PC-algorithm, and then iteratively improved with search and score. Search and score is then performed following two approaches: Order MCMC, or Partition MCMC. The BGe score is implemented for continuous data and the BDe score is implemented for binary data or categorical data. The algorithms may provide the maximum a posteriori (MAP) graph or a sample (a collection of DAGs) from the posterior distribution given the data. All algorithms are also applicable for structure learning and sampling for dynamic Bayesian networks. References: J. Kuipers, P. Suter and G. Moffa (2018) <arXiv:1803.07859v2>, N. Friedman and D. Koller (2003) <doi:10.1023/A:1020249912095>, D. Geiger and D. Heckerman (2002) <doi:10.1214/aos/1035844981>, J. Kuipers and G. Moffa (2017) <doi:10.1080/01621459.2015.1133426>, M. Kalisch et al.(2012) <doi:10.18637/jss.v047.i11>.
Author: Polina Suter [aut, cre], Jack Kuipers [aut]
Maintainer: Polina Suter <polina.suter@bsse.ethz.ch>

Diff between BiDAG versions 2.0.1 dated 2021-04-28 and 2.0.2 dated 2021-04-30

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More information about BiDAG at CRAN
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