Thu, 22 Oct 2020

Package Pijavski updated to version 1.0.3 with previous version 1.0 dated 2016-03-12

Title: Global Univariate Minimization
Description: Global univariate minimization of Lipschitz functions is performed by using Pijavski method, which was published in Pijavski (1972) <DOI:10.1016/0041-5553(72)90115-2>.
Author: Gleb Beliakov [aut, cre], Gita Das [aut], Jonathan Wells [ctb], Hewlett-Packard Company [ctb], Silicon Graphics Computer Systems Inc. [ctb]
Maintainer: Gleb Beliakov <gleb@deakin.edu.au>

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Package MNP updated to version 3.1-1 with previous version 3.1-0 dated 2017-09-27

Title: Fitting the Multinomial Probit Model
Description: Fits the Bayesian multinomial probit model via Markov chain Monte Carlo. The multinomial probit model is often used to analyze the discrete choices made by individuals recorded in survey data. Examples where the multinomial probit model may be useful include the analysis of product choice by consumers in market research and the analysis of candidate or party choice by voters in electoral studies. The MNP package can also fit the model with different choice sets for each individual, and complete or partial individual choice orderings of the available alternatives from the choice set. The estimation is based on the efficient marginal data augmentation algorithm that is developed by Imai and van Dyk (2005). "A Bayesian Analysis of the Multinomial Probit Model Using the Data Augmentation." Journal of Econometrics, Vol. 124, No. 2 (February), pp. 311-334. <doi:10.1016/j.jeconom.2004.02.002> Detailed examples are given in Imai and van Dyk (2005). "MNP: R Package for Fitting the Multinomial Probit Model." Journal of Statistical Software, Vol. 14, No. 3 (May), pp. 1-32. <doi:10.18637/jss.v014.i03>.
Author: Kosuke Imai [aut, cre], David van Dyk [aut], Hubert Jin [ctb]
Maintainer: Kosuke Imai <imai@harvard.edu>

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Package mlr3fselect updated to version 0.4.0 with previous version 0.3.0 dated 2020-09-22

Title: Feature Selection for 'mlr3'
Description: Implements methods for feature selection with 'mlr3', e.g. random search and sequential selection. Various termination criteria can be set and combined. The class 'AutoFSelector' provides a convenient way to perform nested resampling in combination with 'mlr3'.
Author: Marc Becker [aut, cre] (<https://orcid.org/0000-0002-8115-0400>), Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>), Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>), Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>)
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package merDeriv updated to version 0.2-2 with previous version 0.2-1 dated 2020-10-18

Title: Case-Wise and Cluster-Wise Derivatives for Mixed Effects Models
Description: Compute case-wise and cluster-wise derivative for mixed effects models with respect to fixed effects parameter, random effect (co)variances, and residual variance. This material is partially based on work supported by the National Science Foundation under Grant Number 1460719.
Author: Ting Wang [aut, cre], Edgar Merkle [aut] (<https://orcid.org/0000-0001-7158-0653>), Yves Rosseel [ctb]
Maintainer: Ting Wang <twb8d@mail.missouri.edu>

Diff between merDeriv versions 0.2-1 dated 2020-10-18 and 0.2-2 dated 2020-10-22

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New package labstatR with initial version 1.0.11
Package: labstatR
Version: 1.0.11
Date: 2020-10-22
Title: Libreria Del Laboratorio Di Statistica Con R
Author: Stefano M.Iacus <stefano.iacus@unimi.it> and Guido Masarotto <guido@sirio.stat.unipd.it>
Maintainer: Stefano M.Iacus <stefano.iacus@unimi.it>
Description: Insieme di funzioni di supporto al volume "Laboratorio di Statistica con R", Iacus-Masarotto, MacGraw-Hill Italia, 2006. This package contains sets of functions defined in "Laboratorio di Statistica con R", Iacus-Masarotto, MacGraw-Hill Italia, 2006. Function names and docs are in italian as well.
License: GPL (>= 2)
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-10-22 21:24:15 UTC; jago
Repository: CRAN
Date/Publication: 2020-10-22 21:40:02 UTC

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Package kableExtra updated to version 1.3.1 with previous version 1.3.0 dated 2020-10-22

Title: Construct Complex Table with 'kable' and Pipe Syntax
Description: Build complex HTML or 'LaTeX' tables using 'kable()' from 'knitr' and the piping syntax from 'magrittr'. Function 'kable()' is a light weight table generator coming from 'knitr'. This package simplifies the way to manipulate the HTML or 'LaTeX' codes generated by 'kable()' and allows users to construct complex tables and customize styles using a readable syntax.
Author: Hao Zhu [aut, cre] (<https://orcid.org/0000-0002-3386-6076>), Thomas Travison [ctb], Timothy Tsai [ctb], Will Beasley [ctb], Yihui Xie [ctb], GuangChuang Yu [ctb], Stéphane Laurent [ctb], Rob Shepherd [ctb], Yoni Sidi [ctb], Brian Salzer [ctb], George Gui [ctb], Yeliang Fan [ctb], Duncan Murdoch [ctb], Bill Evans [ctb]
Maintainer: Hao Zhu <haozhu233@gmail.com>

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New package eefAnalytics with initial version 1.0.8
Package: eefAnalytics
Version: 1.0.8
Date: 2020-10-14
Title: Robust Analytical Methods for Evaluating Educational Interventions using Randomised Controlled Trials Designs
Description: The eefAnalytics provides tools for analysing data from evaluations of educational interventions using a randomised controlled trial designs. It provides analytical tools to perform sensitivity analysis using different methods(e.g. frequentist models with bootstrapping and permutations options, Bayesian models). The functions contained in this package can be used for simple individual randomised trials, cluster randomised trials and multisite trials. The methods can also be used more widely beyond education trials. This package can be used to evaluate other interventions designs using Frequentist and Bayesian multilevel models.
Author: Germaine Uwimpuhwe, Akansha Singh, Steve Higgins, ZhiMin Xiao, Ewoud De Troyer and Adetayo Kasim
Maintainer: Germaine Uwimpuhwe <germaine.uwimpuhwe@durham.ac.uk>
Imports: lme4, mvtnorm, metafor, graphics, stats, rstanarm
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
URL: https://github.com/germaine86/eefAnalytics
BugReports: https://github.com/germaine86/eefAnalytics/issues
NeedsCompilation: no
Packaged: 2020-10-20 16:44:20 UTC; germu
Repository: CRAN
Date/Publication: 2020-10-22 21:40:05 UTC

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New package abn with initial version 2.3-0
Package: abn
Version: 2.3-0
Date: 2020-10-20
Title: Modelling Multivariate Data with Additive Bayesian Networks
Authors@R: c(person(given = "Gilles", family = "Kratzer", role = c("aut", "cre"), email = "gilles.kratzer@gmail.com", comment = c(ORCID = "0000-0002-5929-8935")), person(given = "Fraser Ian", family = "Lewis", role = "aut", email = "fraseriain.lewis@uzh.ch"), person(given = "Reinhard", family = "Furrer", role = "ctb", email = "reinhard.furrer@math.uzh.ch", comment = c(ORCID = "0000-0002-6319-2332")), person(given = "Marta", family = "Pittavino", role = "ctb", email = "marta.pittavino@math.uzh.ch", comment = c(ORCID = "0000-0002-1232-1034")))
Author: Gilles Kratzer [aut, cre] (<https://orcid.org/0000-0002-5929-8935>), Fraser Ian Lewis [aut], Reinhard Furrer [ctb] (<https://orcid.org/0000-0002-6319-2332>), Marta Pittavino [ctb] (<https://orcid.org/0000-0002-1232-1034>)
Maintainer: Gilles Kratzer <gilles.kratzer@gmail.com>
Imports: methods, rjags
LinkingTo: Rcpp, RcppArmadillo
Depends: nnet, lme4, R (>= 4.0.0)
Suggests: INLA, Rgraphviz, knitr, R.rsp, testthat, entropy, moments, boot, brglm
VignetteBuilder: R.rsp
Additional_repositories: https://inla.r-inla-download.org/R/stable/
SystemRequirements: Gnu Scientific Library version >= 1.12
Description: Bayesian network analysis is a form of probabilistic graphical models which derives from empirical data a directed acyclic graph, DAG, describing the dependency structure between random variables. An additive Bayesian network model consists of a form of a DAG where each node comprises a generalized linear model, GLM. Additive Bayesian network models are equivalent to Bayesian multivariate regression using graphical modelling, they generalises the usual multivariable regression, GLM, to multiple dependent variables. 'abn' provides routines to help determine optimal Bayesian network models for a given data set, where these models are used to identify statistical dependencies in messy, complex data. The additive formulation of these models is equivalent to multivariate generalised linear modelling (including mixed models with iid random effects). The usual term to describe this model selection process is structure discovery. The core functionality is concerned with model selection - determining the most robust empirical model of data from interdependent variables. Laplace approximations are used to estimate goodness of fit metrics and model parameters, and wrappers are also included to the INLA package which can be obtained from <http://www.r-inla.org>. The computing library JAGS <http://mcmc-jags.sourceforge.net/> is used to simulate 'abn'-like data. A comprehensive set of documented case studies, numerical accuracy/quality assurance exercises, and additional documentation are available from the 'abn' website <http://r-bayesian-networks.org>.
License: GPL (>= 2)
LazyData: true
URL: http://r-bayesian-networks.org
BugReports: https://git.math.uzh.ch/reinhard.furrer/abn/-/issues
NeedsCompilation: yes
Packaged: 2020-10-20 12:36:42 UTC; furrer
Repository: CRAN
Date/Publication: 2020-10-22 21:30:02 UTC

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Package mdatools updated to version 0.11.2 with previous version 0.11.1 dated 2020-07-23

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
Maintainer: Sergey Kucheryavskiy <svkucheryavski@gmail.com>

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Package MKinfer updated to version 0.6 with previous version 0.5 dated 2020-04-25

Title: Inferential Statistics
Description: Computation of various confidence intervals (Altman et al. (2000), ISBN:978-0-727-91375-3; Hedderich and Sachs (2018), ISBN:978-3-662-56657-2) including bootstrapped versions (Davison and Hinkley (1997), ISBN:978-0-511-80284-3) as well as Hsu (Hedderich and Sachs (2018), ISBN:978-3-662-56657-2), permutation (Janssen (1997), <doi:10.1016/S0167-7152(97)00043-6>), bootstrap (Davison and Hinkley (1997), ISBN:978-0-511-80284-3) and multiple imputation (Barnard and Rubin (1999), <doi:10.1093/biomet/86.4.948>) t-test. Graphical visualization by volcano plots.
Author: Matthias Kohl [aut, cre] (<https://orcid.org/0000-0001-9514-8910>)
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>

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New package not with initial version 1.2
Package: not
Type: Package
Title: Narrowest-Over-Threshold Change-Point Detection
Version: 1.2
Date: 2019-06-30
Author: Rafal Baranowski, Yining Chen, Piotr Fryzlewicz
Maintainer: Rafal Baranowski <package_maintenance@rbaranowski.com>
Depends: graphics, stats, splines
Description: Provides efficient implementation of the Narrowest-Over-Threshold methodology for detecting an unknown number of change-points occurring at unknown locations in one-dimensional data following deterministic signal + noise model, see R. Baranowski, Y. Chen and P. Fryzlewicz (2019) <doi:10.1111/rssb.12322>. Currently implemented scenarios are: piecewise-constant signal, piecewise-constant signal with a heavy-tailed noise, piecewise-linear signal, piecewise-quadratic signal, piecewise-constant signal and with piecewise-constant variance of the noise.
License: GPL-2
NeedsCompilation: yes
Packaged: 2019-06-30 21:16:47 UTC; rafal
Repository: CRAN
Date/Publication: 2019-07-04 22:20:09

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Package modeldata updated to version 0.1.0 with previous version 0.0.2 dated 2020-06-22

Title: Data Sets Used Useful for Modeling Packages
Description: Data sets used for demonstrating or testing model-related packages are contained in this package.
Author: Max Kuhn [aut, cre], RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

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Package lazytrade updated to version 0.4.1 with previous version 0.4.0 dated 2020-09-16

Title: Learn Computer and Data Science using Algorithmic Trading
Description: Provide sets of functions and methods to learn and practice data science using idea of algorithmic trading. Main goal is to process information within "Decision Support System" to come up with analysis or predictions. There are several utilities such as dynamic and adaptive risk management using reinforcement learning and even functions to generate predictions of price changes using pattern recognition deep regression learning. Summary of Methods used: Awesome H2O tutorials: <https://github.com/h2oai/awesome-h2o>, Market Type research of Van Tharp Institute: <https://www.vantharp.com/>, Reinforcement Learning R package: <https://CRAN.R-project.org/package=ReinforcementLearning>.
Author: Vladimir Zhbanko
Maintainer: Vladimir Zhbanko <vladimir.zhbanko@gmail.com>

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Package archetypal (with last version 1.1.1) was removed from CRAN

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

2020-10-19 1.1.1
2020-01-27 1.1.0
2019-06-13 1.0.0

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Package not (with last version 1.2) was removed from CRAN

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

2020-06-27 1.2

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Package nflfastR updated to version 3.1.1 with previous version 3.0.0 dated 2020-09-24

Title: Functions to Efficiently Access NFL Play by Play Data
Description: A set of functions to access National Football League play-by-play data from <https://www.nfl.com/>.
Author: Sebastian Carl [aut], Ben Baldwin [cre, aut], Lee Sharpe [ctb], Maksim Horowitz [ctb], Ron Yurko [ctb], Samuel Ventura [ctb]
Maintainer: Ben Baldwin <bbaldwin206@gmail.com>

Diff between nflfastR versions 3.0.0 dated 2020-09-24 and 3.1.1 dated 2020-10-22

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Package GEVStableGarch (with last version 1.1) was removed from CRAN

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

2015-08-20 1.1
2014-03-16 1.0

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Package Wrapped (with last version 2.0) was removed from CRAN

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

2017-08-22 2.0
2017-02-05 1.0

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Package timetk updated to version 2.5.0 with previous version 2.4.0 dated 2020-10-08

Title: A Tool Kit for Working with Time Series in R
Description: Easy visualization, wrangling, and feature engineering of time series data for forecasting and machine learning prediction. Methods discussed herein are commonplace in machine learning, and have been cited in various literature. Refer to "Calendar Effects" in papers such as Taieb, Souhaib Ben. "Machine learning strategies for multi-step-ahead time series forecasting." Universit Libre de Bruxelles, Belgium (2014): 75-86. <http://souhaib-bentaieb.com/pdf/2014_phd.pdf>.
Author: Matt Dancho [aut, cre], Davis Vaughan [aut]
Maintainer: Matt Dancho <mdancho@business-science.io>

Diff between timetk versions 2.4.0 dated 2020-10-08 and 2.5.0 dated 2020-10-22

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New package klsh with initial version 0.1.0
Package: klsh
Type: Package
Title: Blocking for Record Linkage
Version: 0.1.0
Authors@R: person("Rebecca", "Steorts", email = "beka@stat.duke.edu", role = c("aut", "cre"))
Depends: R (>= 3.0.2), blink, stats, utils, plyr
Imports: Rcpp, stringi, SnowballC
Suggests: knitr, ggplot2, rmarkdown
VignetteBuilder: knitr
Description: An implementation of the blocking algorithm KLSH in Steorts, Ventura, Sadinle, Fienberg (2014) <DOI:10.1007/978-3-319-11257-2_20>, which is a k-means variant of locality sensitive hashing. The method is illustrated with examples and a vignette.
Encoding: UTF-8
LazyData: true
License: GPL-3
RoxygenNote: 7.1.1.9000
NeedsCompilation: no
Packaged: 2020-10-14 10:06:18 UTC; rebeccasteorts
Author: Rebecca Steorts [aut, cre]
Maintainer: Rebecca Steorts <beka@stat.duke.edu>
Repository: CRAN
Date/Publication: 2020-10-22 15:20:02 UTC

More information about klsh at CRAN
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Package eoffice updated to version 0.2.0 with previous version 0.1.9 dated 2020-02-25

Title: Export or Graph and Tables to 'Microsoft' Office and Import Figures and Tables
Description: Provides wrap functions to export and import graphics and data frames in R to 'microsoft' office. And This package also provide write out figures with lots of different formats. Since people may work on the platform without GUI support, the package also provide function to easily write out figures to lots of different type of formats. Now this package provide function to extract colors from all types of figures and pdf files.
Author: Kai Guo [aut, cre]
Maintainer: Kai Guo <guokai8@gmail.com>

Diff between eoffice versions 0.1.9 dated 2020-02-25 and 0.2.0 dated 2020-10-22

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New package comsimitv with initial version 0.1.4
Package: comsimitv
Type: Package
Title: Flexible Framework for Simulating Community Assembly
Version: 0.1.4
Author: Zoltan Botta-Dukat
Maintainer: Zoltan Botta-Dukat <botta-dukat.zoltan@okologia.mta.hu>
Description: Flexible framework for trait-based simulation of community assembly, where components could be replaced by user-defined function and that allows variation of traits within species.
Imports: MASS, vegan
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: knitr, rmarkdown, testthat, bookdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-10-14 12:25:32 UTC; xy
Repository: CRAN
Date/Publication: 2020-10-22 15:30:02 UTC

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New package BlackCarbon with initial version 0.1.0
Package: BlackCarbon
Type: Package
Title: Processing Raw Black Carbon Concentration
Version: 0.1.0
Author: Sanjeev Bista <sanjeev.bista1@gmail.com>
Maintainer: Sanjeev Bista <sanjeev.bista1@gmail.com>
Description: The functions in this package are designed to be used in the processing of black carbon concentration collected by a specific type of a personal monitor. The package includes functions for processing of the data by applying Optimized noise reduction averaging algorithm along with filter loading correction and with an option of filter change adjustment.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-10-14 08:15:07 UTC; Sanjeev
Repository: CRAN
Date/Publication: 2020-10-22 15:10:02 UTC

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New package aceEditor with initial version 0.1.0
Package: aceEditor
Title: The 'Ace' Editor as a HTML Widget
Version: 0.1.0
Authors@R: c( person( "Stéphane", "Laurent", role = c("aut", "cre"), email = "laurent_step@outlook.fr" ), person( "James", "Hrisho", role = c("ctb", "cph"), comment = "'react-ace' library" ), person( "James Long and contributors", role = c("ctb", "cph"), comment = "'Prettier' library" ), person( "Zeb", "Zhao", role = c("ctb","cph"), comment = "'indent.js' library" ), person( "jQuery contributors", role = c("ctb", "cph"), comment = "'jQuery' library" ), person( list("Tristan", "Limon"), list("Edwards", "Monte"), role = c("ctb", "cph"), comment = "'sweetalert2' library" ) )
Description: Wraps the 'Ace' editor in a HTML widget. The 'Ace' editor has support for many languages. It can be opened in the viewer pane of 'RStudio', and this provides a second source editor.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: htmltools, htmlwidgets, reactR, rstudioapi, tools
URL: https://github.com/stla/aceEditor
BugReports: https://github.com/stla/aceEditor/issues
NeedsCompilation: no
Packaged: 2020-10-14 08:37:29 UTC; stla
Author: Stéphane Laurent [aut, cre], James Hrisho [ctb, cph] ('react-ace' library), James Long and contributors [ctb, cph] ('Prettier' library), Zeb Zhao [ctb, cph] ('indent.js' library), jQuery contributors [ctb, cph] ('jQuery' library), Tristan Edwards [ctb, cph] ('sweetalert2' library), Limon Monte [ctb, cph] ('sweetalert2' library)
Maintainer: Stéphane Laurent <laurent_step@outlook.fr>
Repository: CRAN
Date/Publication: 2020-10-22 15:20:05 UTC

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Package phenology updated to version 7.6 with previous version 7.3 dated 2019-01-04

Title: Tools to Manage a Parametric Function that Describes Phenology and More
Description: Functions used to fit and test the phenology of species based on counts.
Author: Marc Girondot
Maintainer: Marc Girondot <marc.girondot@universite-paris-saclay.fr>

Diff between phenology versions 7.3 dated 2019-01-04 and 7.6 dated 2020-10-22

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Package embryogrowth updated to version 8.0 with previous version 7.6 dated 2019-08-30

Title: Tools to Analyze the Thermal Reaction Norm of Embryo Growth
Description: Tools to analyze the embryo growth and the sexualisation thermal reaction norms.
Author: Marc Girondot <marc.girondot@universite-paris-saclay.fr>
Maintainer: Marc Girondot <marc.girondot@universite-paris-saclay.fr>

Diff between embryogrowth versions 7.6 dated 2019-08-30 and 8.0 dated 2020-10-22

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More information about embryogrowth at CRAN
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Package bayestestR updated to version 0.7.5 with previous version 0.7.2 dated 2020-07-20

Title: Understand and Describe Bayesian Models and Posterior Distributions
Description: Provides utilities to describe posterior distributions and Bayesian models. It includes point-estimates such as Maximum A Posteriori (MAP), measures of dispersion (Highest Density Interval - HDI; Kruschke, 2015 <doi:10.1016/C2012-0-00477-2>) and indices used for null-hypothesis testing (such as ROPE percentage, pd and Bayes factors).
Author: Dominique Makowski [aut, cre] (<https://orcid.org/0000-0001-5375-9967>), Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>), Michael D. Wilson [aut] (<https://orcid.org/0000-0003-4143-7308>), Paul-Christian Bürkner [rev], Tristan Mahr [rev] (<https://orcid.org/0000-0002-8890-5116>), Henrik Singmann [ctb] (<https://orcid.org/0000-0002-4842-3657>), Quentin F. Gronau [ctb] (<https://orcid.org/0000-0001-5510-6943>), Sam Crawley [ctb] (<https://orcid.org/0000-0002-7847-0411>)
Maintainer: Dominique Makowski <dom.makowski@gmail.com>

Diff between bayestestR versions 0.7.2 dated 2020-07-20 and 0.7.5 dated 2020-10-22

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Package knitrdata updated to version 0.5.1 with previous version 0.5.0 dated 2020-07-15

Title: Data Language Engine for 'knitr' / 'rmarkdown'
Description: Implements a data language engine for incorporating data directly in 'rmarkdown' documents so that they can be made completely standalone.
Author: David M. Kaplan [aut, cre, cph] (<https://orcid.org/0000-0001-6087-359X>, dmkaplan2000)
Maintainer: David M. Kaplan <dmkaplan2000@gmail.com>

Diff between knitrdata versions 0.5.0 dated 2020-07-15 and 0.5.1 dated 2020-10-22

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Package simstandard updated to version 0.5.0 with previous version 0.3.0 dated 2019-01-07

Title: Generate Standardized Data
Description: Creates simulated data from structural equation models with standardized loading. Data generation methods are described in Schneider (2013) <doi:10.1177/0734282913478046>.
Author: W. Joel Schneider [aut, cre] (<https://orcid.org/0000-0002-8393-5316>)
Maintainer: W. Joel Schneider <w.joel.schneider@gmail.com>

Diff between simstandard versions 0.3.0 dated 2019-01-07 and 0.5.0 dated 2020-10-22

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Package bbsBayes updated to version 2.3.4.2020 with previous version 2.3.3.2020 dated 2020-07-08

Title: Hierarchical Bayesian Analysis of North American BBS Data
Description: The North American Breeding Bird Survey (BBS) is a long-running program that seeks to monitor the status and trends of the breeding birds in North America. Since its start in 1966, the BBS has accumulated over 50 years of data for over 500 species of North American Birds. Given the temporal and spatial structure of the data, hierarchical Bayesian models are used to assess the status and trends of these 500+ species of birds. 'bbsBayes' allows you to perform hierarchical Bayesian analysis of BBS data. You can run a full model analysis for one or more species that you choose, or you can take more control and specify how the data should be stratified, prepared for 'JAGS', or modelled. The functions provided here allow you to replicate analyses performed by the United State Geological Survey (USGS, see Link and Sauer (2011) <doi:10.1525/auk.2010.09220>) and Canadian Wildlife Service (CWS, see Smith and Edwards (2020) <doi:10.1101/2020.03.26.010215>).
Author: Brandon P.M. Edwards [aut, cre], Adam C. Smith [aut]
Maintainer: Brandon P.M. Edwards <edwardsb@uoguelph.ca>

Diff between bbsBayes versions 2.3.3.2020 dated 2020-07-08 and 2.3.4.2020 dated 2020-10-22

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Package xmeta updated to version 1.2-1 with previous version 1.1-5 dated 2019-11-01

Title: A Toolbox for Multivariate Meta-Analysis
Description: A toolbox for meta-analysis. This package includes a collection of functions for (1) implementing robust multivariate meta-analysis of continuous or binary outcomes; and (2) a bivariate Egger's test for detecting small study effects.
Author: Chuan Hong [aut], Chongliang Luo [aut], Rui Duan [aut], Jiayi Tong [aut, cre], Haitao Chu [ctb], Yulun Liu [ctb], Yong Chen [aut]
Maintainer: Jiayi Tong <Jiayi.Tong@pennmedicine.upenn.edu>

Diff between xmeta versions 1.1-5 dated 2019-11-01 and 1.2-1 dated 2020-10-22

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Package neat updated to version 1.2.2 with previous version 1.2.1 dated 2020-01-09

Title: Efficient Network Enrichment Analysis Test
Description: Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in Signorelli et al. (2016, <DOI:10.1186/s12859-016-1203-6>).
Author: Mirko Signorelli [aut, cre, cph] (<https://orcid.org/0000-0002-8102-3356>), Veronica Vinciotti [aut], Ernst Wit [aut]
Maintainer: Mirko Signorelli <msignorelli.rpackages@gmail.com>

Diff between neat versions 1.2.1 dated 2020-01-09 and 1.2.2 dated 2020-10-22

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Package metaboGSE updated to version 1.2.5 with previous version 1.2.4 dated 2020-05-07

Title: Gene Set Enrichment Analysis via Integration of Metabolic Networks and RNA-Seq Data
Description: Integrates metabolic networks and RNA-seq data to construct condition-specific series of metabolic sub-networks and applies to gene set enrichment analysis (Tran et al. (2018) <doi:10.1093/bioinformatics/bty929>).
Author: Van Du T. Tran [aut, cre], Marco Pagni [aut]
Maintainer: Van Du T. Tran <thuong.tran@sib.swiss>

Diff between metaboGSE versions 1.2.4 dated 2020-05-07 and 1.2.5 dated 2020-10-22

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New package wsjplot with initial version 0.1.0
Package: wsjplot
Version: 0.1.0
Title: Style Time Series Plots Like the Wall Street Journal
Description: Easily override the default visual choices in 'ggplot2' to make your time series plots look more like the Wall Street Journal. Specific theme design choices include omitting x-axis grid lines and displaying sparse light grey y-axis grid lines. Additionally, this allows to label the y-axis scales with your units only displayed on the top-most number, while also removing the bottom most number (unless specifically overridden). The goal is visual simplicity, because who has time to waste looking at a cluttered graph?
Authors@R: person("Stephen", "Lee", email = "smlee.981@gmail.com", role = c("aut", "cre") )
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: ggplot2, magrittr, stringr, scales, dplyr
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-10-13 15:56:14 UTC; smlee
Author: Stephen Lee [aut, cre]
Maintainer: Stephen Lee <smlee.981@gmail.com>
Repository: CRAN
Date/Publication: 2020-10-22 09:10:02 UTC

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New package thorn with initial version 0.1.0
Package: thorn
Type: Package
Title: 'HTMLwidgets' Displaying Some 'WebGL' Shaders
Version: 0.1.0
Authors@R: c( person( "Stéphane", "Laurent", role = c("aut", "cre"), email = "laurent_step@outlook.fr" ), person( "Scott", "Boyle", role = c("ctb", "cph"), comment = "'Hamster.js' library" ), person( list("Mathew", "Chad"), list("Groves", "Engler"), role = c("ctb", "cph"), comment = "'PixiJS' library" ) )
Description: Creates some 'WebGL' shaders. They can be used as the background of a 'Shiny' app. They also can be visualized in the 'RStudio' viewer pane or included in 'Rmd' documents, but this is pretty useless, besides contemplating them.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: htmlwidgets
Suggests: shiny, htmltools
URL: https://github.com/stla/thorn
BugReports: https://github.com/stla/thorn/issues
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-10-13 20:15:49 UTC; stla
Author: Stéphane Laurent [aut, cre], Scott Boyle [ctb, cph] ('Hamster.js' library), Mathew Groves [ctb, cph] ('PixiJS' library), Chad Engler [ctb, cph] ('PixiJS' library)
Maintainer: Stéphane Laurent <laurent_step@outlook.fr>
Repository: CRAN
Date/Publication: 2020-10-22 09:30:02 UTC

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New package smd with initial version 0.6.6
Package: smd
Type: Package
Title: Compute Standardized Mean Differences
Version: 0.6.6
Authors@R: c(person("Bradley", "Saul", role = c("aut", "cre"), email = "bsaul@novisci.com"), person("Alex", "Breskin", role = c("ctb"), email = "abreskin@novisci.com"), person("Catie", "Wiener", role = c("ctb"), email = "cwiener@novisci.com"), person("Matt", "Phelan", role = c("ctb"), email = "mphelan@novisci.com"))
Description: Computes standardized mean differences and confidence intervals for multiple data types based on Yang, D., & Dalton, J. E. (2012) <http://www.lerner.ccf.org/qhs/software/lib/stddiff.pdf>.
Imports: MASS (>= 7.3-50), methods (>= 3.5.1)
Suggests: testthat, stddiff, tableone, knitr, dplyr, purrr, markdown, rmarkdown
License: MIT + file LICENSE
URL: https://docs.novisci.com/smd/
BugReports: https://gitlab.novisci.com/nsstat/smd/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
VignetteBuilder: knitr
Repository: CRAN
NeedsCompilation: no
Packaged: 2020-10-13 20:13:52 UTC; bsaul
Author: Bradley Saul [aut, cre], Alex Breskin [ctb], Catie Wiener [ctb], Matt Phelan [ctb]
Maintainer: Bradley Saul <bsaul@novisci.com>
Date/Publication: 2020-10-22 09:20:02 UTC

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Package rotl updated to version 3.0.11 with previous version 3.0.10 dated 2019-09-28

Title: Interface to the 'Open Tree of Life' API
Description: An interface to the 'Open Tree of Life' API to retrieve phylogenetic trees, information about studies used to assemble the synthetic tree, and utilities to match taxonomic names to 'Open Tree identifiers'. The 'Open Tree of Life' aims at assembling a comprehensive phylogenetic tree for all named species.
Author: Francois Michonneau [aut, cre] (<https://orcid.org/0000-0002-9092-966X>), Joseph Brown [aut] (<https://orcid.org/0000-0002-3835-8062>), David Winter [aut] (<https://orcid.org/0000-0002-6165-0029>), Scott Chamberlain [rev] (<https://orcid.org/0000-0003-1444-9135>)
Maintainer: Francois Michonneau <francois.michonneau@gmail.com>

Diff between rotl versions 3.0.10 dated 2019-09-28 and 3.0.11 dated 2020-10-22

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New package mbmixture with initial version 0.2-5
Package: mbmixture
Version: 0.2-5
Date: 2020-10-13
Title: Microbiome Mixture Analysis
Description: Evaluate whether a microbiome sample is a mixture of two samples, by fitting a model for the number of read counts as a function of single nucleotide polymorphism (SNP) allele and the genotypes of two potential source samples. Lobo et al. (2019) <doi:10.1101/529040>.
Author: Karl W Broman [aut, cre] (<https://orcid.org/0000-0002-4914-6671>)
Maintainer: Karl W Broman <broman@wisc.edu>
Authors@R: c(person("Karl W", "Broman", role=c("aut", "cre"), email="broman@wisc.edu", comment=c(ORCID = "0000-0002-4914-6671")))
Depends: R (>= 3.1.0)
Imports: stats, parallel, numDeriv
Suggests: knitr, rmarkdown, testthat, devtools, roxygen2
License: MIT + file LICENSE
URL: https://github.com/kbroman/mbmixture
BugReports: https://github.com/kbroman/mbmixture/issues
VignetteBuilder: knitr
LazyData: true
Encoding: UTF-8
ByteCompile: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-10-13 15:07:06 UTC; kbroman
Repository: CRAN
Date/Publication: 2020-10-22 09:10:05 UTC

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New package inti with initial version 0.1.0
Package: inti
Type: Package
Version: 0.1.0
Title: Tools and Statistical Procedures in Plant Science
Description: The 'inti' package is part of the 'inkaverse' project for developing different procedures and tools used in plant science and experimental designs. The mean aim of the package is to support researchers during the planning of experiments and data collection (tarpuy()), data analysis and graphics (yupana()) , and technical writing (rtciles()). Learn more about the 'inkaverse' project at <https://inkaverse.com/apps/>.
Date: 2020-09-30
Authors@R: person("Flavio", "Lozano-Isla", email = "flavjack@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-0714-669X"))
URL: https://github.com/flavjack/inti/
BugReports: https://github.com/flavjack/inti/issues
Depends: shiny, ggplot2, dplyr, tidyr, tibble
biocViews:
Imports: lme4, agricolae, FactoMineR, purrr, stringr, DT, emmeans, multtest
Suggests: agridat, googlesheets4, corrplot, knitr, rmarkdown, testthat
VignetteBuilder: knitr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-09-30 18:43:17 UTC; User
Author: Flavio Lozano-Isla [aut, cre] (<https://orcid.org/0000-0002-0714-669X>)
Maintainer: Flavio Lozano-Isla <flavjack@gmail.com>
Repository: CRAN
Date/Publication: 2020-10-22 09:40:06 UTC

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New package gaussplotR with initial version 0.1.4
Package: gaussplotR
Type: Package
Title: Predict and Plot 2D Gaussians
Version: 0.1.4
Authors@R: person(given = "Vikram B.", family = "Baliga", role = c("aut", "cre", "cph"), email = "vbaliga87@gmail.com", comment = c(ORCID = "0000-0002-9367-8974") )
Description: Functions to predict values from a two-dimensional Gaussian function and produce plots of predicted data via either 'ggplot2' or base R plotting.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1.9000
Imports: ggplot2 (>= 3.3.0), metR (>= 0.7.0)
Suggests: lattice, knitr, rmarkdown
Depends: R (>= 2.10)
URL: https://github.com/vbaliga/gaussplotR
BugReports: https://github.com/vbaliga/gaussplotR/issues
NeedsCompilation: no
Packaged: 2020-10-14 02:24:20 UTC; thalassoma
Author: Vikram B. Baliga [aut, cre, cph] (<https://orcid.org/0000-0002-9367-8974>)
Maintainer: Vikram B. Baliga <vbaliga87@gmail.com>
Repository: CRAN
Date/Publication: 2020-10-22 09:40:10 UTC

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New package findInFiles with initial version 0.1.0
Package: findInFiles
Type: Package
Title: Find Pattern in Files
Version: 0.1.0
Authors@R: c( person( "Stéphane", "Laurent", role = c("aut", "cre"), email = "laurent_step@outlook.fr" ), person( "Rob", "Burns", role = c("ctb", "cph"), comment = "'ansi-to-html' library" ) )
Description: Creates a HTML widget which displays the results of searching for a pattern in files in a given folder. The results can be viewed in the 'RStudio' viewer pane, included in a 'R Markdown' document or in a 'Shiny' app.
License: GPL-3
Encoding: UTF-8
LazyData: true
SystemRequirements: grep
Imports: htmlwidgets
Suggests: shiny
URL: https://github.com/stla/findInFiles
BugReports: https://github.com/stla/findInFiles/issues
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-10-13 20:21:01 UTC; stla
Author: Stéphane Laurent [aut, cre], Rob Burns [ctb, cph] ('ansi-to-html' library)
Maintainer: Stéphane Laurent <laurent_step@outlook.fr>
Repository: CRAN
Date/Publication: 2020-10-22 09:30:05 UTC

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Package czso updated to version 0.3.2 with previous version 0.2.3 dated 2020-04-07

Title: Use Open Data from the Czech Statistical Office in R
Description: Get programmatic access to the open data provided by the Czech Statistical Office (CZSO, <https://czso.cz>).
Author: Petr Bouchal [aut, cre] (<https://orcid.org/0000-0002-0471-716X>), Jindra Lacko [ctb]
Maintainer: Petr Bouchal <pbouchal@gmail.com>

Diff between czso versions 0.2.3 dated 2020-04-07 and 0.3.2 dated 2020-10-22

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New package bggAnalytics with initial version 0.1.1
Package: bggAnalytics
Type: Package
Title: BoardGameGeek's Board Game Data Analysis Tools
Description: Tools for analysing board game data. Mainly focused on providing an interface for BoardGameGeek's XML API2 through R6 class system objects. More details about the BoardGameGeek's API can be obtained here <https://boardgamegeek.com/wiki/page/BGG_XML_API2>.
Version: 0.1.1
Author: Jakub Bujnowicz [aut, cre]
Maintainer: Jakub Bujnowicz <bujnowiczgithub@gmail.com>
URL: https://github.com/JakubBujnowicz/bggAnalytics
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Language: en-GB
Imports: assertthat, pryr, rvest, stringr, utils, xml2
Depends: R (>= 4.0.0), data.table, R6
Collate: 'assertions.R' 'class_utils.R' 'bggAPI.R' 'bggAnalytics-package.R' 'bggCollection.R' 'bggGames.R' 'bggSearch.R' 'bgg_tools.R' 'custom_fetches.R' 'data.R' 'h_index.R' 'html_utils.R' 'params_utils.R' 'squeeze.R' 'utils.R' 'zzz.R'
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-10-13 16:50:15 UTC; User
Repository: CRAN
Date/Publication: 2020-10-22 09:20:05 UTC

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Package lilikoi (with last version 2.0.2) was removed from CRAN

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

2020-10-03 2.0.2
2020-08-24 2.0.1

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New package restaurant with initial version 0.1.0
Package: restaurant
Title: Restaurant Data for Entity Resolution
Version: 0.1.0
Authors@R: c(person("Rebecca", "Steorts", email= "beka@stat.duke.edu", role=c("aut", "cre")), person("Andee", "Kaplan", email= "andrea.kaplan@duke.edu", role="aut"), person("Srini", "Sunil", email="srinivas.sunil@duke.edu", role="aut"))
Description: Duplicated restaurant data (pre-processed and formatted) for entity resolution. This package contains formatted data from a data set that contains information about different restaurants, with the Zagats portion containing 331 records and the Fodors portion containing 533 records. The following variables are included in the data set: id, name, address, city, phone, type. The data set has a respective gold data set that provides information on which records match based on id.
URL: https://github.com/resteorts/restaurant
BugReports: https://github.com/resteorts/restaurant/issues
Depends: R (>= 3.4.0)
License: CC0
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1.9000
NeedsCompilation: no
Packaged: 2020-10-13 13:56:58 UTC; rebeccasteorts
Author: Rebecca Steorts [aut, cre], Andee Kaplan [aut], Srini Sunil [aut]
Maintainer: Rebecca Steorts <beka@stat.duke.edu>
Repository: CRAN
Date/Publication: 2020-10-22 08:50:02 UTC

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New package PAMmisc with initial version 1.6.3
Package: PAMmisc
Title: Miscellaneous Functions for Passive Acoustic Analysis
Version: 1.6.3
Authors@R: c( TS = person("Taiki", "Sakai", email = "taiki.sakai@noaa.gov", role = c("aut", "cre")), JB = person("Jay", "Barlow", role = c("ctb")), JO = person("Julie", "Oswald", role = c("ctb")))
Description: A collection of miscellaneous functions for passive acoustics. Much of the content here is adapted to R from code written by other people. If you have any ideas of functions to add, please contact Taiki Sakai.
License: GNU General Public License
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: ggplot2, tuneR, seewave, dplyr, magrittr, RcppRoll, PamBinaries, RSQLite, lubridate, rerddap, ncdf4, httr, purrr, plotKML, hoardr, methods, geosphere, tcltk
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-10-13 14:08:51 UTC; Taiki.Sakai
Author: Taiki Sakai [aut, cre], Jay Barlow [ctb], Julie Oswald [ctb]
Maintainer: Taiki Sakai <taiki.sakai@noaa.gov>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2020-10-22 09:00:05 UTC

More information about PAMmisc at CRAN
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New package cd with initial version 0.1.0
Package: cd
Title: CD Data for Entity Resolution
Version: 0.1.0
Authors@R: c(person("Rebecca", "Steorts", email= "beka@stat.duke.edu", role=c("aut", "cre")), person("Andee", "Kaplan", email= "andrea.kaplan@duke.edu", role="aut"), person("Srini.", "Sunil", email="srinivas.sunil@duke.edu", role="aut"))
Description: Duplicated music data (pre-processed and formatted) for entity resolution. The total size of the data set is 9763. There are respective gold standard records that are labeled and can be considered as a unique identifier.
URL: https://github.com/resteorts/cd
BugReports: https://github.com/resteorts/cd/issues
Depends: R (>= 3.4.0)
License: CC0
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1.9000
NeedsCompilation: no
Packaged: 2020-10-13 13:54:30 UTC; rebeccasteorts
Author: Rebecca Steorts [aut, cre], Andee Kaplan [aut], Srini. Sunil [aut]
Maintainer: Rebecca Steorts <beka@stat.duke.edu>
Repository: CRAN
Date/Publication: 2020-10-22 08:40:02 UTC

More information about cd at CRAN
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New package biogrowth with initial version 0.1.0
Package: biogrowth
Type: Package
Title: Modelling of Microbial Growth
Version: 0.1.0
Authors@R: c(person("Alberto", "Garre", email = "garre.alberto@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-4404-3550")), person("Jeroen", "Koomen", email = "jeroen.koomen@wur.nl", role = "aut"), person("Heidy", "den Besten", email = "heidy.denbesten@wur.nl", role = "aut"), person("Marcel", "Zwietering", email = "marcel.zwietering@wur.nl", role = "aut") )
Description: Modelling of microbial growth under isothermal and dynamic conditions. Includes functions for model fitting and making prediction under isothermal and dynamic conditions using methods (algorithms & models) common in predictive microbiology (See Perez-Rodriguez and Valero (2012, ISBN:978-1-4614-5519-6)).
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: deSolve (>= 1.28), tibble (>= 3.0.3), dplyr (>= 0.8.5), FME (>= 1.3.6), MASS (>= 7.3), rlang (>= 0.4.7), purrr (>= 0.3.4), ggplot2 (>= 3.3.2), cowplot (>= 1.0.0)
Suggests: knitr, rmarkdown, tidyverse (>= 1.3.0)
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-10-13 14:29:21 UTC; alberto
Author: Alberto Garre [aut, cre] (<https://orcid.org/0000-0002-4404-3550>), Jeroen Koomen [aut], Heidy den Besten [aut], Marcel Zwietering [aut]
Maintainer: Alberto Garre <garre.alberto@gmail.com>
Repository: CRAN
Date/Publication: 2020-10-22 08:50:04 UTC

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New package asymptor with initial version 0.2
Package: asymptor
Title: Estimate Asymptomatic Cases via Capture/Recapture Methods
Version: 0.2
Authors@R: person(given = "Hugo", family = "Gruson", role = c("cre", "aut", "cph"), email = "hugo.gruson+R@normalesup.org", comment = c(ORCID = "0000-0002-4094-1476"))
Description: Estimate the lower and upper bound of asymptomatic cases in an epidemic using the capture/recapture methods from Böhning et al. (2020) <doi:10.1016/j.ijid.2020.06.009> and Rocchetti et al. (2020) <doi:10.1101/2020.07.14.20153445>.
License: GPL-3
URL: https://bisaloo.github.io/asymptor/, https://github.com/bisaloo/asymptor
BugReports: https://github.com/bisaloo/asymptor/issues
Depends: R (>= 3.5)
Suggests: covr, ggplot2, knitr, rmarkdown, spelling, testthat
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-10-13 14:48:52 UTC; hugo
Author: Hugo Gruson [cre, aut, cph] (<https://orcid.org/0000-0002-4094-1476>)
Maintainer: Hugo Gruson <hugo.gruson+R@normalesup.org>
Repository: CRAN
Date/Publication: 2020-10-22 09:00:02 UTC

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Package wru updated to version 0.1-10 with previous version 0.1-9 dated 2019-02-21

Title: Who are You? Bayesian Prediction of Racial Category Using Surname and Geolocation
Description: Predicts individual race/ethnicity using surname, geolocation, and other attributes, such as gender and age. The method utilizes the Bayes' Rule to compute the posterior probability of each racial category for any given individual. The package implements methods described in Imai and Khanna (2015) "Improving Ecological Inference by Predicting Individual Ethnicity from Voter Registration Records" <DOI:10.1093/pan/mpw001>.
Author: Kabir Khanna [aut, cre], Kosuke Imai [aut]
Maintainer: Kabir Khanna <kabirkhanna@gmail.com>

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Package vectools updated to version 0.2.0 with previous version 0.1.1 dated 2020-01-09

Title: Advanced Vector Toolkit
Description: Block matrices and object arrays, as general purpose S4 data structures, with automatic formatting. Matrix arrays (that is, arrays of matrices), with binary operators for succinct/convenient matrix array multiplication. Set/sequence related functions, including index/interval finding functions. Also, SQL-like select functions, analytic geometry functions, head/tail generalizations and prototype pooling/convolution functions.
Author: Abby Spurdle
Maintainer: Abby Spurdle <spurdle.a@gmail.com>

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More information about vectools at CRAN
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Package kableExtra updated to version 1.3.0 with previous version 1.2.1 dated 2020-08-27

Title: Construct Complex Table with 'kable' and Pipe Syntax
Description: Build complex HTML or 'LaTeX' tables using 'kable()' from 'knitr' and the piping syntax from 'magrittr'. Function 'kable()' is a light weight table generator coming from 'knitr'. This package simplifies the way to manipulate the HTML or 'LaTeX' codes generated by 'kable()' and allows users to construct complex tables and customize styles using a readable syntax.
Author: Hao Zhu [aut, cre] (<https://orcid.org/0000-0002-3386-6076>), Thomas Travison [ctb], Timothy Tsai [ctb], Will Beasley [ctb], Yihui Xie [ctb], GuangChuang Yu [ctb], Stéphane Laurent [ctb], Rob Shepherd [ctb], Yoni Sidi [ctb], Brian Salzer [ctb], George Gui [ctb], Yeliang Fan [ctb], Duncan Murdoch [ctb], Bill Evans [ctb]
Maintainer: Hao Zhu <haozhu233@gmail.com>

Diff between kableExtra versions 1.2.1 dated 2020-08-27 and 1.3.0 dated 2020-10-22

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Package insight updated to version 0.10.0 with previous version 0.9.6 dated 2020-09-20

Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), Dominique Makowski [aut, ctb] (<https://orcid.org/0000-0001-5375-9967>), Indrajeet Patil [aut, ctb] (<https://orcid.org/0000-0003-1995-6531>), Philip Waggoner [aut, ctb] (<https://orcid.org/0000-0002-7825-7573>), Mattan S. Ben-Shachar [aut, ctb] (<https://orcid.org/0000-0002-4287-4801>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package distill updated to version 1.0 with previous version 0.8 dated 2020-06-04

Title: 'R Markdown' Format for Scientific and Technical Writing
Description: Scientific and technical article format for the web. 'Distill' articles feature attractive, reader-friendly typography, flexible layout options for visualizations, and full support for footnotes and citations.
Author: JJ Allaire [aut, cre] (<https://orcid.org/0000-0003-0174-9868>), Rich Iannone [aut], Alison Presmanes Hill [aut] (<https://orcid.org/0000-0002-8082-1890>), Yihui Xie [aut] (<https://orcid.org/0000-0003-0645-5666>), RStudio, Inc. [cph], Google LLC [ctb, cph] (https://distill.pub/guide/), Nick Williams [ctb, cph] (https://wicky.nillia.ms/headroom.js/), Denis Demchenko [ctb, cph] (https://github.com/lancedikson/bowser), The Polymer Authors [ctb, cph] (https://www.webcomponents.org/polyfills/), Gábor Csárdi [ctb, cph] (whoami), JooYoung Seo [ctb] (<https://orcid.org/0000-0002-4064-6012>)
Maintainer: JJ Allaire <jj@rstudio.com>

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Package anyflights updated to version 0.3.1 with previous version 0.3.0 dated 2020-08-10

Title: Query 'nycflights13'-Like Air Travel Data for Given Years and Airports
Description: Supplies a set of functions to query air travel data for user- specified years and airports. Datasets include on-time flights, airlines, airports, planes, and weather.
Author: Simon P. Couch [aut, cre], Hadley Wickham [ctb], Jay Lee [ctb], Dennis Irorere [ctb]
Maintainer: Simon P. Couch <simonpatrickcouch@gmail.com>

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 R/as_flights_package.R    |    5 +++--
 R/utils.R                 |   32 ++++++++++++++++----------------
 README.md                 |    4 ++--
 man/as_flights_package.Rd |    5 +++--
 7 files changed, 41 insertions(+), 32 deletions(-)

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2019-05-05 1.2.1
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2015-06-25 1.0

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