Mon, 10 Dec 2018

Package knitr updated to version 1.21 with previous version 1.20 dated 2018-02-20

Title: A General-Purpose Package for Dynamic Report Generation in R
Description: Provides a general-purpose tool for dynamic report generation in R using Literate Programming techniques.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Adam Vogt [ctb], Alastair Andrew [ctb], Alex Zvoleff [ctb], Andre Simon [ctb] (the CSS files under inst/themes/ were derived from the Highlight package http://www.andre-simon.de), Aron Atkins [ctb], Aaron Wolen [ctb], Ashley Manton [ctb], Ben Baumer [ctb], Brian Diggs [ctb], Brian Zhang [ctb], Cassio Pereira [ctb], Christophe Dervieux [ctb], David Hugh-Jones [ctb], David Robinson [ctb], Donald Arseneau [ctb, cph] (the framed package at inst/misc/framed.sty), Doug Hemken [ctb], Duncan Murdoch [ctb], Elio Campitelli [ctb], Fabian Hirschmann [ctb], Fitch Simeon [ctb], Forest Fang [ctb], Frank E Harrell Jr [ctb] (the Sweavel package at inst/misc/Sweavel.sty), Garrick Aden-Buie [ctb], Gregoire Detrez [ctb], Hadley Wickham [ctb], Hao Zhu [ctb], Heewon Jeon [ctb], Henrik Bengtsson [ctb], Hiroaki Yutani [ctb], Ian Lyttle [ctb], Hodges Daniel [ctb], Jake Burkhead [ctb], James Manton [ctb], Jared Lander [ctb], Jason Punyon [ctb], Javier Luraschi [ctb], Jeff Arnold [ctb], Jenny Bryan [ctb], Jeremy Ashkenas [ctb, cph] (the CSS file at inst/misc/docco-classic.css), Jeremy Stephens [ctb], Jim Hester [ctb], Joe Cheng [ctb], Johannes Ranke [ctb], John Honaker [ctb], John Muschelli [ctb], Jonathan Keane [ctb], JJ Allaire [ctb], Johan Toloe [ctb], Jonathan Sidi [ctb], Joseph Larmarange [ctb], Julien Barnier [ctb], Kaiyin Zhong [ctb], Kamil Slowikowski [ctb], Karl Forner [ctb], Kevin K. Smith [ctb], Kirill Mueller [ctb], Kohske Takahashi [ctb], Lorenz Walthert [ctb], Lucas Gallindo [ctb], Martin Modrák [ctb], Michael Chirico [ctb], Michael Friendly [ctb], Michal Bojanowski [ctb], Michel Kuhlmann [ctb], Nacho Caballero [ctb], Nick Salkowski [ctb], Noam Ross [ctb], Obada Mahdi [ctb], Qiang Li [ctb], Ramnath Vaidyanathan [ctb], Richard Cotton [ctb], Robert Krzyzanowski [ctb], Romain Francois [ctb], Ruaridh Williamson [ctb], Scott Kostyshak [ctb], Sebastian Meyer [ctb], Sietse Brouwer [ctb], Simon de Bernard [ctb], Sylvain Rousseau [ctb], Taiyun Wei [ctb], Thibaut Assus [ctb], Thibaut Lamadon [ctb], Thomas Leeper [ctb], Tim Mastny [ctb], Tom Torsney-Weir [ctb], Trevor Davis [ctb], Viktoras Veitas [ctb], Weicheng Zhu [ctb], Wush Wu [ctb], Zachary Foster [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

Diff between knitr versions 1.20 dated 2018-02-20 and 1.21 dated 2018-12-10

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More information about knitr at CRAN
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Package drake updated to version 6.2.1 with previous version 6.1.0 dated 2018-10-26

Title: A Pipeline Toolkit for Reproducible Computation at Scale
Description: A general-purpose computational engine for data analysis, drake rebuilds intermediate data objects when their dependencies change, and it skips work when the results are already up to date. Not every execution starts from scratch, there is native support for parallel and distributed computing, and completed projects have tangible evidence that they are reproducible. Extensive documentation, from beginner-friendly tutorials to practical examples and more, is available at the reference website <https://ropensci.github.io/drake/> and the online manual <https://ropenscilabs.github.io/drake-manual/>.
Author: William Michael Landau [aut, cre] (<https://orcid.org/0000-0003-1878-3253>), Alex Axthelm [ctb], Jasper Clarkberg [ctb], Kirill Müller [ctb], Ben Marwick [rev], Peter Slaughter [rev], Ben Bond-Lamberty [ctb] (<https://orcid.org/0000-0001-9525-4633>), Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>

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More information about drake at CRAN
Permanent link

Package Rcan updated to version 1.3.62 with previous version 1.3.61 dated 2018-10-16

Title: Cancer Registry Data Analysis and Visualisation
Description: Tools for basic and advance cancer statistics and graphics. Calculates age-specific rate, age-standardized rate, estimated annual percentage rate with standards error. Creates graphics across variable and time, such as age-specific trends and period-cohort trends.
Author: Mathieu Laversanne [aut, cre], Cancer Surveillance Unit [cph]
Maintainer: Mathieu Laversanne <laversannem@iarc.fr>

Diff between Rcan versions 1.3.61 dated 2018-10-16 and 1.3.62 dated 2018-12-10

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More information about Rcan at CRAN
Permanent link

Package metansue updated to version 2.3 with previous version 2.2 dated 2018-07-11

Title: Meta-Analysis of Studies with Non-Statistically Significant Unreported Effects
Description: Novel method to unbiasedly include studies with Non-statistically Significant Unreported Effects (NSUEs) in a meta-analysis <doi:10.1001/jamapsychiatry.2015.2196> and <doi:10.1177/0962280218811349>. Briefly, the method first calculates the interval where the unreported effects (e.g. t-values) should be according to the threshold of statistical significance used in each study. Afterwards, maximum likelihood techniques are used to impute the expected effect size of each study with NSUEs, accounting for between-study heterogeneity and potential covariates. Multiple imputations of the NSUEs are then randomly created based on the expected value, variance and statistical significance bounds. Finally, a restricted-maximum likelihood random-effects meta-analysis is separately conducted for each set of imputations, and estimations from these meta-analyses are pooled. Please read the reference in 'metansue' for details of the procedure.
Author: Joaquim Radua
Maintainer: Joaquim Radua <radua@clinic.cat>

Diff between metansue versions 2.2 dated 2018-07-11 and 2.3 dated 2018-12-10

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More information about metansue at CRAN
Permanent link

Package ddalpha updated to version 1.3.7 with previous version 1.3.4 dated 2018-06-23

Title: Depth-Based Classification and Calculation of Data Depth
Description: Contains procedures for depth-based supervised learning, which are entirely non-parametric, in particular the DDalpha-procedure (Lange, Mosler and Mozharovskyi, 2014 <doi:10.1007/s00362-012-0488-4>). The training data sample is transformed by a statistical depth function to a compact low-dimensional space, where the final classification is done. It also offers an extension to functional data and routines for calculating certain notions of statistical depth functions. 50 multivariate and 5 functional classification problems are included.
Author: Oleksii Pokotylo [aut, cre], Pavlo Mozharovskyi [aut], Rainer Dyckerhoff [aut], Stanislav Nagy [aut]
Maintainer: Oleksii Pokotylo <alexey.pokotylo@gmail.com>

Diff between ddalpha versions 1.3.4 dated 2018-06-23 and 1.3.7 dated 2018-12-10

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More information about ddalpha at CRAN
Permanent link

Package prism updated to version 0.1.0 with previous version 0.0.7 dated 2015-11-16

Title: Access Data from the Oregon State Prism Climate Project
Description: Allows users to access the Oregon State Prism climate data. Using the web service API data can easily downloaded in bulk and loaded into R for spatial analysis. Some user friendly visualizations are also provided.
Author: Hart Edmund [aut, ccp], Kendon Bell [aut], Alan Butler [ctb, cre]
Maintainer: Alan Butler <rabutler@usbr.gov>

Diff between prism versions 0.0.7 dated 2015-11-16 and 0.1.0 dated 2018-12-10

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More information about prism at CRAN
Permanent link

Package immer updated to version 1.1-35 with previous version 1.0-138 dated 2018-04-24

Title: Item Response Models for Multiple Ratings
Description: Implements some item response models for multiple ratings, including the hierarchical rater model, conditional maximum likelihood estimation of linear logistic partial credit model and a wrapper function to the commercial FACETS program. See Robitzsch and Steinfeld (2018) for a description of the functionality of the package. See Wang, Su & Qiu (2014; <doi:10.1111/jedm.12045>) for an overview of modeling alternatives.
Author: Alexander Robitzsch [aut, cre], Jan Steinfeld [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between immer versions 1.0-138 dated 2018-04-24 and 1.1-35 dated 2018-12-10

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Package bnviewer updated to version 0.1.1 with previous version 0.1.0 dated 2018-07-31

Title: Interactive Visualization of Bayesian Networks
Description: Interactive visualization of Bayesian Networks. The 'bnviewer' package reads various structure learning algorithms provided by the 'bnlearn' package and allows you to view them interactively.
Author: Robson Fernandes
Maintainer: Robson Fernandes <robs.fernandes@outlook.com>

Diff between bnviewer versions 0.1.0 dated 2018-07-31 and 0.1.1 dated 2018-12-10

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Package RANN.L1 updated to version 2.5.2 with previous version 2.5.1 dated 2018-08-10

Title: Fast Nearest Neighbour Search (Wraps ANN Library) Using L1 Metric
Description: Finds the k nearest neighbours for every point in a given dataset in O(N log N) time using Arya and Mount's ANN library (v1.1.3). There is support for approximate as well as exact searches, fixed radius searches and 'bd' as well as 'kd' trees. The distance is computed using the L1 (Manhattan, taxicab) metric. Please see package 'RANN' for the same functionality using the L2 (Euclidean) metric.
Author: Sunil Arya and David Mount (for ANN), Samuel E. Kemp, Gregory Jefferis, Kirill Müller
Maintainer: ORPHANED

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Package Partiallyoverlapping updated to version 1.1 with previous version 1.0 dated 2017-01-04

Title: Partially Overlapping Samples t-Tests
Description: The "partially overlapping samples t-tests", for the comparison of means for two samples which include both paired observations and independent observations. [See Derrick, B., Russ, B., Toher, D. & White P (2017). Test statistics for the comparison of means for two samples which include both paired observations and independent observations. Journal of Modern Applied Statistical Methods, 16(1)].
Author: Ben Derrick
Maintainer: Ben Derrick <ben.derrick@uwe.ac.uk>

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Package FNN updated to version 1.1.2.2 with previous version 1.1.2.1 dated 2018-08-10

Title: Fast Nearest Neighbor Search Algorithms and Applications
Description: Cover-tree and kd-tree fast k-nearest neighbor search algorithms and related applications including KNN classification, regression and information measures are implemented.
Author: Alina Beygelzimer, Sham Kakadet and John Langford (cover tree library), Sunil Arya and David Mount (ANN library 1.1.2 for the kd-tree approach), Shengqiao Li
Maintainer: ORPHANED

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Package TAM updated to version 3.0-21 with previous version 2.13-15 dated 2018-09-30

Title: Test Analysis Modules
Description: Includes marginal maximum likelihood estimation and joint maximum likelihood estimation for unidimensional and multidimensional item response models. The package functionality covers the Rasch model, 2PL model, 3PL model, generalized partial credit model, multi-faceted Rasch model, nominal item response model, structured latent class model, mixture distribution IRT models, and located latent class models. Latent regression models and plausible value imputation are also supported. For details see Adams, Wilson and Wang, 1997 <doi:10.1177/0146621697211001>, Adams, Wilson and Wu, 1997 <doi:10.3102/10769986022001047>, Formann, 1982 <doi:10.1002/bimj.4710240209>, Formann, 1992 <doi:10.1080/01621459.1992.10475229>.
Author: Alexander Robitzsch [aut, cre], Thomas Kiefer [aut], Margaret Wu [aut]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

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Package callr updated to version 3.1.0 with previous version 3.0.0 dated 2018-08-24

Title: Call R from R
Description: It is sometimes useful to perform a computation in a separate R process, without affecting the current R process at all. This packages does exactly that.
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>

Diff between callr versions 3.0.0 dated 2018-08-24 and 3.1.0 dated 2018-12-10

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Package antaresProcessing updated to version 0.17.0 with previous version 0.16.0 dated 2018-09-28

Title: 'Antares' Results Processing
Description: Process results generated by 'Antares', a powerful open source software developed by RTE (Réseau de Transport d’Électricité) to simulate and study electric power systems (more information about 'Antares' here: <https://github.com/AntaresSimulatorTeam/Antares_Simulator>). You can see the results of several ANTARES studies here : <http://bpnumerique.rte-france.com/>. This package provides functions to create new columns like net load, load factors, upward and downward margins or to compute aggregated statistics like economic surpluses of consumers, producers and sectors.
Author: Jalal-Edine ZAWAM [aut, cre], Francois Guillem [aut], Benoit Thieurmel [aut], Titouan Robert [aut], RTE [cph]
Maintainer: Jalal-Edine ZAWAM <jalal-edine.zawam@rte-france.com>

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Package erhcv updated to version 0.1.4 with previous version 0.1.3 dated 2018-10-07

Title: Equi-Rank Hierarchical Clustering Validation
Description: Assesses the statistical significance of clusters for a given dataset through bootstrapping and hypothesis testing of a given matrix of empirical Spearman's rho, based on the technique of S. Gaiser et al. (2010) <doi:10.1016/j.jmva.2010.07.008>.
Author: Simon-Pierre Gadoury <spgadou@me.com>
Maintainer: Simon-Pierre Gadoury <spgadou@me.com>

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Package RQuantLib updated to version 0.4.7 with previous version 0.4.6 dated 2018-11-25

Title: R Interface to the 'QuantLib' Library
Description: The 'RQuantLib' package makes parts of 'QuantLib' accessible from R The 'QuantLib' project aims to provide a comprehensive software framework for quantitative finance. The goal is to provide a standard open source library for quantitative analysis, modeling, trading, and risk management of financial assets.
Author: Dirk Eddelbuettel, Khanh Nguyen (2009-2010), Terry Leitch (since 2016)
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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More information about RQuantLib at CRAN
Permanent link

Package rEDM updated to version 0.7.2 with previous version 0.7.1 dated 2018-06-20

Title: Applications of Empirical Dynamic Modeling from Time Series
Description: A new implementation of EDM algorithms based on research software previously developed for internal use in the Sugihara Lab (UCSD/SIO). Contains C++ compiled objects that use time delay embedding to perform state-space reconstruction and nonlinear forecasting and an R interface to those objects using 'Rcpp'. It supports both the simplex projection method from Sugihara & May (1990) <DOI:10.1038/344734a0> and the S-map algorithm in Sugihara (1994) <DOI:10.1098/rsta.1994.0106>. In addition, this package implements convergent cross mapping as described in Sugihara et al. (2012) <DOI:10.1126/science.1227079> and multiview embedding as described in Ye & Sugihara (2016) <DOI:10.1126/science.aag0863>.
Author: Hao Ye [aut, cre], Adam Clark [aut], Ethan Deyle [aut], Steve Munch [aut], Oliver Keyes [ctb], Jun Cai [ctb], Ethan White [ctb], Jane Cowles [ctb], James Stagge [ctb], Yair Daon [ctb], George Sugihara [ctb, ccp]
Maintainer: Sugihara Lab Maintainer <sugihara.lab.manager@gmail.com>

Diff between rEDM versions 0.7.1 dated 2018-06-20 and 0.7.2 dated 2018-12-10

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New package mistr with initial version 0.0.1
Package: mistr
Type: Package
Title: Mixture and Composite Distributions
Version: 0.0.1
Depends: R (>= 3.0.1)
Authors@R: c( person("Lukas", "Sablica", email = "lsablica@wu.ac.at", role = c("aut", "cre")), person("Kurt", "Hornik", email = "Kurt.Hornik@wu.ac.at", role = "aut", comment = c(ORCID = "0000-0003-4198-9911")) )
Maintainer: Lukas Sablica <lsablica@wu.ac.at>
Description: A flexible computational framework for mixture distributions with the focus on the composite models.
License: GPL-3
Imports: bbmle, stats, graphics, grDevices
Suggests: ggplot2, grid, knitr, rmarkdown, pinp
LazyData: true
Encoding: UTF-8
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-12-07 10:54:45 UTC; sablica
Author: Lukas Sablica [aut, cre], Kurt Hornik [aut] (<https://orcid.org/0000-0003-4198-9911>)
Repository: CRAN
Date/Publication: 2018-12-10 15:00:02 UTC

More information about mistr at CRAN
Permanent link

Package lessR updated to version 3.7.9 with previous version 3.7.6 dated 2018-08-11

Title: Less Code, More Results
Description: Each function accomplishes the work of several or more standard R functions. For example, two function calls, Read() and CountAll(), read the data and generate summary statistics for all variables in the data frame, plus histograms and bar charts as appropriate. Other functions provide for descriptive statistics, a comprehensive regression analysis, analysis of variance and t-test, plotting including the introduced here Violin/Box/Scatter plot for a numerical variable, bar chart, histogram, box plot, density curves, calibrated power curve, reading multiple data formats with the same function call, variable labels, color themes, Trellis graphics and a built-in help system. Also includes a confirmatory factor analysis of multiple indicator measurement models, pedagogical routines for data simulation such as for the Central Limit Theorem, and generation of R markdown instructions for interpretative output.
Author: David W. Gerbing, The School of Business, Portland State University
Maintainer: David W. Gerbing <gerbing@pdx.edu>

Diff between lessR versions 3.7.6 dated 2018-08-11 and 3.7.9 dated 2018-12-10

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More information about lessR at CRAN
Permanent link

Package frailtypack updated to version 3.0.2 with previous version 3.0.1 dated 2018-11-26

Title: General Frailty Models: Shared, Joint and Nested Frailty Models with Prediction; Evaluation of Failure-Time Surrogate Endpoints
Description: The following several classes of frailty models using a penalized likelihood estimation on the hazard function but also a parametric estimation can be fit using this R package: 1) A shared frailty model (with gamma or log-normal frailty distribution) and Cox proportional hazard model. Clustered and recurrent survival times can be studied. 2) Additive frailty models for proportional hazard models with two correlated random effects (intercept random effect with random slope). 3) Nested frailty models for hierarchically clustered data (with 2 levels of clustering) by including two iid gamma random effects. 4) Joint frailty models in the context of the joint modelling for recurrent events with terminal event for clustered data or not. A joint frailty model for two semi-competing risks and clustered data is also proposed. 5) Joint general frailty models in the context of the joint modelling for recurrent events with terminal event data with two independent frailty terms. 6) Joint Nested frailty models in the context of the joint modelling for recurrent events with terminal event, for hierarchically clustered data (with two levels of clustering) by including two iid gamma random effects. 7) Multivariate joint frailty models for two types of recurrent events and a terminal event. 8) Joint models for longitudinal data and a terminal event. 9) Trivariate joint models for longitudinal data, recurrent events and a terminal event. 10) Joint frailty models for the validation of surrogate endpoints in multiple randomized clinical trials with failure-time endpoints Prediction values are available (for a terminal event or for a new recurrent event). Left-truncated (not for Joint model), right-censored data, interval-censored data (only for Cox proportional hazard and shared frailty model) and strata are allowed. In each model, the random effects have the gamma or normal distribution. Now, you can also consider time-varying covariates effects in Cox, shared and joint frailty models (1-5). The package includes concordance measures for Cox proportional hazards models and for shared frailty models.
Author: Virginie Rondeau, Juan R. Gonzalez, Yassin Mazroui, Audrey Mauguen, Amadou Diakite, Alexandre Laurent, Myriam Lopez, Agnieszka Krol and Casimir L. Sofeu
Maintainer: Virginie Rondeau <Virginie.Rondeau@inserm.fr>

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Package ClimProjDiags updated to version 0.0.2 with previous version 0.0.1 dated 2018-10-26

Title: Set of Tools to Compute Various Climate Indices
Description: Set of tools to compute metrics and indices for climate analysis. The package provides functions to compute extreme indices, evaluate the agreement between models and combine theses models into an ensemble. Multi-model time series of climate indices can be computed either after averaging the 2-D fields from different models provided they share a common grid or by combining time series computed on the model native grid. Indices can be assigned weights and/or combined to construct new indices.
Author: BSC-CNS [aut, cph], Alasdair Hunter [aut], Nuria Perez-Zanon [aut, cre], Nicolau Manubens [ctb], Louis-Philippe Caron [ctb]
Maintainer: Nuria Perez-Zanon <nuria.perez@bsc.es>

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More information about ClimProjDiags at CRAN
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Package GPareto updated to version 1.1.2 with previous version 1.1.1 dated 2018-01-31

Title: Gaussian Processes for Pareto Front Estimation and Optimization
Description: Gaussian process regression models, a.k.a. Kriging models, are applied to global multi-objective optimization of black-box functions. Multi-objective Expected Improvement and Step-wise Uncertainty Reduction sequential infill criteria are available. A quantification of uncertainty on Pareto fronts is provided using conditional simulations.
Author: Mickael Binois, Victor Picheny
Maintainer: Mickael Binois <mbinois@mcs.anl.gov>

Diff between GPareto versions 1.1.1 dated 2018-01-31 and 1.1.2 dated 2018-12-10

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More information about GPareto at CRAN
Permanent link

Package visdat updated to version 0.5.2 with previous version 0.5.1 dated 2018-07-04

Title: Preliminary Visualisation of Data
Description: Create preliminary exploratory data visualisations of an entire dataset to identify problems or unexpected features using 'ggplot2'.
Author: Nicholas Tierney [aut, cre] (<https://orcid.org/0000-0003-1460-8722>), Sean Hughes [rev] (<https://orcid.org/0000-0002-9409-9405>, Sean Hughes reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/87), Mara Averick [rev] (Mara Averick reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/87), Stuart Lee [ctb], Earo Wang [ctb], Nic Crane [ctb]
Maintainer: Nicholas Tierney <nicholas.tierney@gmail.com>

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Package RxODE updated to version 0.8.0-9 with previous version 0.8.0-8 dated 2018-09-25

Title: Facilities for Simulating from ODE-Based Models
Description: Facilities for running simulations from ordinary differential equation (ODE) models, such as pharmacometrics and other compartmental models. A compilation manager translates the ODE model into C, compiles it, and dynamically loads the object code into R for improved computational efficiency. An event table object facilitates the specification of complex dosing regimens (optional) and sampling schedules. NB: The use of this package requires both C and Fortran compilers, for details on their use with R please see Section 6.3, Appendix A, and Appendix D in the "R Administration and Installation" manual. Also the code is mostly released under GPL. The VODE and LSODA are in the public domain. The information is available in the inst/COPYRIGHTS.
Author: Matthew L. Fidler [aut], Melissa Hallow [aut], Wenping Wang [aut, cre], Zufar Mulyukov [ctb], Justin Wilkins [ctb], Simon Frost [ctb], Heng Li [ctb], Yu Feng [ctb], Alan Hindmarsh [ctb], Linda Petzold [ctb], Ernst Hairer [ctb], Gerhard Wanner [ctb], Johannes Pfeifer [ctb], Robert B. Schnabel [ctb], Elizabeth Eskow [ctb], J Colinge [ctb], Hadley Wickham [ctb], G Grothendieck [ctb], Robert Gentleman [ctb], Ross Ihaka [ctb], R core team [cph], odepack authors [cph]
Maintainer: Wenping Wang <wwang8198@gmail.com>

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Package loon updated to version 1.2.1 with previous version 1.2.0 dated 2018-09-30

Title: Interactive Statistical Data Visualization
Description: An extendable toolkit for interactive data visualization and exploration.
Author: Adrian Waddell [aut, cre], R. Wayne Oldford [aut], Zehao Xu [ctb]
Maintainer: Adrian Waddell <adrian@waddell.ch>

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Package ggimage updated to version 0.2.0 with previous version 0.1.7 dated 2018-06-19

Title: Use Image in 'ggplot2'
Description: Supports image files and graphic objects to be visualized in 'ggplot2' graphic system.
Author: Guangchuang Yu [aut, cre] (<https://orcid.org/0000-0002-6485-8781>)
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package bivariate updated to version 0.3.0 with previous version 0.2.2 dated 2018-09-18

Title: Bivariate Probability Distributions
Description: Contains convenience functions for constructing and plotting bivariate probability distributions (probability mass functions, probability density functions and cumulative distribution functions). Currently, supports uniform (discrete and continuous), binomial, Poisson, normal, bimodal and kernel distributions.
Author: Abby Spurdle
Maintainer: Abby Spurdle <spurdle.a@gmail.com>

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Package balance updated to version 0.1.9 with previous version 0.1.6 dated 2018-10-12

Title: Visualize Balances of Compositional Data
Description: Balances have become a cornerstone of compositional data analysis. However, conceptualizing balances is difficult, especially for high-dimensional data. Most often, investigators visualize balances with "balance dendrograms". However, this visualization tool does not scale well for large data. This package provides an alternative scheme for visualizing balances, described in [Quinn (2018) <DOI:10.12688/f1000research.15858.1>]. This package also provides a method for principal balance analysis.
Author: Thomas Quinn [aut, cre]
Maintainer: Thomas Quinn <contacttomquinn@gmail.com>

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Package mudfold updated to version 1.1.1 with previous version 1.1.0 dated 2017-12-18

Title: Multiple UniDimensional unFOLDing
Description: Nonparametric unfolding item response theory (IRT) model for dichotomous data (see W.H. Van Schuur (1984). Structure in Political Beliefs: A New Model for Stochastic Unfolding with Application to European Party Activists, and W.J.Post (1992). Nonparametric Unfolding Models: A Latent Structure Approach). The package implements MUDFOLD (Multiple UniDimensional unFOLDing), an iterative item selection algorithm that constructs unfolding scales from dichotomous preferential-choice data without explicitly assuming a parametric form of the item response functions. Scale diagnostics from Post(1992) and estimates for the person locations proposed by Johnson(2006) and Van Schuur(1984) are also available. This model can be seen as the unfolding variant of Mokken(1971) scaling method.
Author: Spyros Balafas [aut, cre], Wim Krijnen [aut], Wendy Post [ctb], Ernst Wit [aut]
Maintainer: Spyros Balafas <s.balafas@rug.nl>

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Package jmvcore updated to version 0.9.5.2 with previous version 0.9.5 dated 2018-11-05

Title: Dependencies for the 'jamovi' Framework
Description: A framework for creating rich interactive analyses for the jamovi platform (see <https://www.jamovi.org> for more information).
Author: Jonathon Love
Maintainer: Jonathon Love <jon@thon.cc>

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Package ri2 (with last version 0.1.1) was removed from CRAN

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

2018-03-26 0.1.1
2018-01-31 0.1.0

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

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

2018-04-03 0.1.1

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Package mds updated to version 0.2.1 with previous version 0.2.0 dated 2018-09-26

Title: Medical Devices Surveillance
Description: A set of core functions for handling medical device event data in the context of post-market surveillance, pharmacovigilance, signal detection and trending, and regulatory reporting. Primary inputs are data on events by device and data on exposures by device. Outputs include: standardized device-event and exposure datasets, defined analyses, and time series.
Author: Gary Chung [aut, cre]
Maintainer: Gary Chung <gchung05@gmail.com>

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