Fri, 22 Jun 2018

Package reprex updated to version 0.2.0 with previous version 0.1.2 dated 2018-01-26

Title: Prepare Reproducible Example Code via the Clipboard
Description: Convenience wrapper that uses the 'rmarkdown' package to render small snippets of code to target formats that include both code and output. The goal is to encourage the sharing of small, reproducible, and runnable examples on code-oriented websites, such as <https://stackoverflow.com> and <https://github.com>, or in email. The user's clipboard is the default source of input code and the default target for rendered output. 'reprex' also extracts clean, runnable R code from various common formats, such as copy/paste from an R session.
Author: Jennifer Bryan [aut, cre] (<https://orcid.org/0000-0002-6983-2759>), Jim Hester [aut] (<https://orcid.org/0000-0002-2739-7082>), David Robinson [aut], Hadley Wickham [aut] (<https://orcid.org/0000-0003-4757-117X>), RStudio [cph, fnd]
Maintainer: Jennifer Bryan <jenny@rstudio.com>

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Package groupedSurv updated to version 1.0.2 with previous version 1.0.1 dated 2018-05-15

Title: Efficient Estimation of Grouped Survival Models Using the Exact Likelihood Function
Description: These 'Rcpp'-based functions compute the efficient score statistics for grouped time-to-event data (Prentice and Gloeckler, 1978), with the optional inclusion of baseline covariates. Functions for estimating the parameter of interest and nuisance parameters, including baseline hazards, using maximum likelihood are also provided. A parallel set of functions allow for the incorporation of family structure of related individuals (e.g., trios). Note that the current implementation of the frailty model (Ripatti and Palmgren, 2000) is sensitive to departures from model assumptions, and should be considered experimental. For these data, the exact proportional-hazards-model-based likelihood is computed by evaluating multiple variable integration. The integration is accomplished using the 'Cuba' library (Hahn, 2005), and the source files are included in this package. The maximization process is carried out using Brent's algorithm, with the C++ code file from John Burkardt and John Denker (Brent, 2002).
Author: Jiaxing Lin [aut], Alexander Sibley [aut], Tracy Truong [aut], Kouros Owzar [aut], Zhiguo Li [aut], Yu Jiang [ctb], Janice McCarthy [ctb], Andrew Allen [ctb]
Maintainer: Jiaxing Lin <jiaxing.lin@duke.edu>

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Package BayLum updated to version 0.1.2 with previous version 0.1.1 dated 2017-09-07

Title: Chronological Bayesian Models Integrating Optically Stimulated Luminescence and Radiocarbon Age Dating
Description: Bayesian analysis of luminescence data and 14C age estimate. Bayesian models are based on the following publications: Combes, B. & Philippe, A. (2017) <doi:10.1016/j.quageo.2017.02.003> and Combes et al (2015) <doi:10.1016/j.quageo.2015.04.001>. This includes, amongst others, data import, export, application of age models and palaeodose model.
Author: Claire Christophe [aut], Anne Philippe [aut, cre], Sebastian Kreutzer [aut] (<https://orcid.org/0000-0002-0734-2199>), Guillaume Guerin [aut] (<https://orcid.org/0000-0001-6298-5579>)
Maintainer: Anne Philippe <anne.philippe@univ-nantes.fr>

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Package subscreen updated to version 1.0.0 with previous version 0.2.2 dated 2017-07-19

Title: Systematic Screening of Study Data for Subgroup Effects
Description: Identifying outcome relevant subgroups has now become as simple as possible! The formerly lengthy and tedious search for the needle in a haystack will be replaced by a single, comprehensive and coherent presentation. The central result of a subgroup screening is a diagram in which each single dot stands for a subgroup. The diagram may show thousands of them. The position of the dot in the diagram is determined by the sample size of the subgroup and the statistical measure of the treatment effect in that subgroup. The sample size is shown on the horizontal axis while the treatment effect is displayed on the vertical axis. Furthermore, the diagram shows the line of no effect and the overall study results. For small subgroups, which are found on the left side of the plot, larger random deviations from the mean study effect are expected, while for larger subgroups only small deviations from the study mean can be expected to be chance findings. So for a study with no conspicuous subgroup effects, the dots in the figure are expected to form a kind of funnel. Any deviations from this funnel shape hint to conspicuous subgroups.
Author: Bodo Kirsch, Susanne Lippert, Thomas Schmelter, Christoph Muysers, Hermann Kulmann
Maintainer: Bodo Kirsch <bodo.kirsch@bayer.com>

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Package sdcTable updated to version 0.23 with previous version 0.22.8 dated 2017-07-29

Title: Methods for Statistical Disclosure Control in Tabular Data
Description: Methods for statistical disclosure control in tabular data such as primary and secondary cell suppression as described for example in Hundepol et al. (2012) <doi:10.1002/9781118348239> are covered in this package.
Author: Bernhard Meindl
Maintainer: Bernhard Meindl <bernhard.meindl@gmail.com>

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Package RStoolbox updated to version 0.2.3 with previous version 0.2.1 dated 2018-04-09

Title: Tools for Remote Sensing Data Analysis
Description: Toolbox for remote sensing image processing and analysis such as calculating spectral indices, principal component transformation, unsupervised and supervised classification or fractional cover analyses.
Author: Benjamin Leutner [cre, aut], Ned Horning [aut], Jakob Schwalb-Willmann [aut], Robert J. Hijmans [ctb]
Maintainer: Benjamin Leutner <benjamin.leutner@uni-wuerzburg.de>

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Package mombf updated to version 2.1.2 with previous version 2.1.1 dated 2018-05-08

Title: Moment and Inverse Moment Bayes Factors
Description: Model selection and parameter estimation for non-local and some conjugate priors. Bayes factors for regression and mixtures. Routines to sample, evaluate prior densities, distributions and quantiles.
Author: David Rossell, John D. Cook, Donatello Telesca, P. Roebuck
Maintainer: David Rossell <rosselldavid@gmail.com>

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Package doRNG updated to version 1.7.1 with previous version 1.6.6 dated 2017-04-10

Title: Generic Reproducible Parallel Backend for 'foreach' Loops
Description: Provides functions to perform reproducible parallel foreach loops, using independent random streams as generated by L'Ecuyer's combined multiple-recursive generator [L'Ecuyer (1999), <DOI:10.1287/opre.47.1.159>]. It enables to easily convert standard %dopar% loops into fully reproducible loops, independently of the number of workers, the task scheduling strategy, or the chosen parallel environment and associated foreach backend.
Author: Renaud Gaujoux [aut, cre]
Maintainer: Renaud Gaujoux <renozao@protonmail.com>

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Package crunch updated to version 1.23.0 with previous version 1.22.0 dated 2018-05-02

Title: Crunch.io Data Tools
Description: The Crunch.io service <http://crunch.io/> provides a cloud-based data store and analytic engine, as well as an intuitive web interface. Using this package, analysts can interact with and manipulate Crunch datasets from within R. Importantly, this allows technical researchers to collaborate naturally with team members, managers, and clients who prefer a point-and-click interface.
Author: Neal Richardson [aut, cre], Jonathan Keane [aut], Gordon Shotwell [aut]
Maintainer: Neal Richardson <neal@crunch.io>

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Package CodeDepends updated to version 0.6.0 with previous version 0.5-3 dated 2017-05-29

Title: Analysis of R Code for Reproducible Research and Code Comprehension
Description: Tools for analyzing R expressions or blocks of code and determining the dependencies between them. It focuses on R scripts, but can be used on the bodies of functions. There are many facilities including the ability to summarize or get a high-level view of code, determining dependencies between variables, code improvement suggestions.
Author: Duncan Temple Lang, Roger Peng, Deborah Nolan, Gabriel Becker
Maintainer: Gabriel Becker <becker.gabriel@gene.com>

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Package alr3 updated to version 2.0.8 with previous version 2.0.7 dated 2018-04-11

Title: Data to Accompany Applied Linear Regression 3rd Edition
Description: Data files and a few functions used in the textbook S. Weisberg (2005), 'Applied Linear Regression,' 3rd edition, Wiley are presented. This package depends on the car package. Many functions formerly in alr3 have been renamed and now reside in car. Data files have been lightly modified to make some data columns row labels. Many of these files are also in the newer alr4 package.
Author: Sanford Weisberg <sandy@umn.edu>
Maintainer: Sanford Weisberg <sandy@umn.edu>

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Package RanglaPunjab updated to version 2.3.1 with previous version 1.1.1 dated 2018-05-28

Title: Displays Palette of 5 Colors
Description: Displays palette of 5 colors based on photos depicting the unique and vibrant culture of Punjab in Northern India. Since Punjab translates to ``Land of 5 Rivers'' there are 5 colors per palette. If users need more than 5 colors, they can merge 2 to 3 palettes to create their own color-combination, or they can cherry-pick their own custom colors. Users can view up to 3 palettes together. Users can also list all the palette choices. And last but not least, users can see the photo that inspired a particular palette.
Author: Sonia Ahluwalia [aut, cre]
Maintainer: Sonia Ahluwalia <sonia.bhar.ahluwalia@gmail.com>

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Package wallace updated to version 1.0.5 with previous version 1.0.4 dated 2018-02-12

Title: A Modular Platform for Reproducible Modeling of Species Niches and Distributions
Description: The 'shiny' application 'wallace' is a modular platform for reproducible modeling of species niches and distributions. 'wallace' guides users through a complete analysis, from the acquisition of species occurrence and environmental data to visualizing model predictions on an interactive map, thus bundling complex workflows into a single, streamlined interface.
Author: Jamie M. Kass [aut, cre], Bruno Vilela [aut], Matthew E. Aiello-Lammens [aut], Robert Muscarella [aut], Cory Merow [aut], Robert P. Anderson [aut]
Maintainer: Jamie M. Kass <jkass@gradcenter.cuny.edu>

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Package tram updated to version 0.2-2 with previous version 0.2-1 dated 2018-04-23

Title: Transformation Models
Description: Formula-based user-interfaces to specific transformation models implemented in package 'mlt'. Available models include Cox models, some parametric survival models (Weibull, etc.), models for ordered categorical variables, normal and non-normal (Box-Cox type) linear models, and continuous outcome logistic regression (Lohse et al., 2017, <DOI:10.12688/f1000research.12934.1>). The underlying theory is described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291>.
Author: Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package mlt.docreg updated to version 1.0-1 with previous version 1.0-0 dated 2018-03-08

Title: Most Likely Transformations: Documentation and Regression Tests
Description: Additional documentation, a package vignette and regression tests for package mlt.
Author: Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package SSLASSO updated to version 1.1 with previous version 0.0-1 dated 2017-09-21

Title: The Spike-and-Slab LASSO
Description: Efficient coordinate ascent algorithm for fitting regularization paths for linear models penalized by Spike-and-Slab LASSO. Rockova and George (2018) <doi:10.1080/01621459.2016.1260469>.
Author: Veronika Rockova [aut,cre], Gemma Moran [aut]
Maintainer: Gemma Moran <gmoran@wharton.upenn.edu>

Diff between SSLASSO versions 0.0-1 dated 2017-09-21 and 1.1 dated 2018-06-22

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Package rgdal updated to version 1.3-3 with previous version 1.3-2 dated 2018-06-08

Title: Bindings for the 'Geospatial' Data Abstraction Library
Description: Provides bindings to the 'Geospatial' Data Abstraction Library ('GDAL') (>= 1.11.4) and access to projection/transformation operations from the 'PROJ.4' library. The 'GDAL' and 'PROJ.4' libraries are external to the package, and, when installing the package from source, must be correctly installed first. Both 'GDAL' raster and 'OGR' vector map data can be imported into R, and 'GDAL' raster data and 'OGR' vector data exported. Use is made of classes defined in the 'sp' package. Windows and Mac Intel OS X binaries (including 'GDAL', 'PROJ.4' and 'Expat') are provided on 'CRAN'.
Author: Roger Bivand [cre, aut] (<https://orcid.org/0000-0003-2392-6140>), Tim Keitt [aut], Barry Rowlingson [aut, ctb], Edzer Pebesma [ctb], Michael Sumner [ctb], Robert Hijmans [ctb], Even Rouault [cph, ctb], Frank Warmerdam [cph, ctb], Jeroen Ooms [ctb], Colin Rundel [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package DendroSync updated to version 0.1.1 with previous version 0.1.0 dated 2017-05-22

Title: A Set of Tools for Calculating Spatial Synchrony Between Tree-Ring Chronologies
Description: Provides functions for the calculation and plotting of synchrony in tree growth from tree-ring width chronologies (TRW index). It combines variance-covariance (VCOV) mixed modelling with functions that quantify the degree to which the TRW chronologies contain a common temporal signal. It also implements temporal trends in spatial synchrony using a moving window. These methods can also be used with other kind of ecological variables that have temporal autocorrelation corrected.
Author: Josu G. Alday, Tatiana A. Shestakova, Victor Resco de Dios, Jordi Voltas
Maintainer: Josu G. Alday <josucham@gmail.com>

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Package CopulaREMADA updated to version 1.1 with previous version 1.0 dated 2016-09-13

Title: Copula Mixed Effect Models for Multivariate Meta-Analysis of Diagnostic Test Accuracy Studies
Description: It has functions to implement the copula mixed models for multivariate meta-analysis of diagnostic test accuracy studies.
Author: Aristidis K. Nikoloulopoulos <A.Nikoloulopoulos@uea.ac.uk>
Maintainer: Aristidis K. Nikoloulopoulos <A.Nikoloulopoulos@uea.ac.uk>

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Package BHTSpack updated to version 0.4 with previous version 0.3 dated 2018-06-14

Title: Bayesian Multi-Plate High-Throughput Screening of Compounds
Description: Can be used for joint identification of candidate compound hits from multiple assays, in drug discovery. This package implements the framework of I. D. Shterev, D. B. Dunson, C. Chan and G. D. Sempowski. "Bayesian Multi-Plate High-Throughput Screening of Compounds", Scientific Reports 8 (1), 9551. This project was funded by the Division of Allergy, Immunology, and Transplantation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Department of Health and Human Services, under contract No. HHSN272201400054C entitled "Adjuvant Discovery For Vaccines Against West Nile Virus and Influenza", awarded to Duke University and lead by Drs. Herman Staats and Soman Abraham.
Author: Ivo D. Shterev [aut, cre], David B. Dunson [aut], Cliburn Chan [aut], Gregory D. Sempowski [aut]
Maintainer: Ivo D. Shterev <i.shterev@duke.edu>

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Package KnowBR updated to version 1.8 with previous version 1.7 dated 2018-04-10

Title: Discriminating Well Surveyed Spatial Units from Exhaustive Biodiversity Databases
Description: It uses species accumulation curves and diverse estimators to assess, at the same time, the levels of survey coverage in multiple geographic cells of a size defined by the user or polygons. It also enables the geographical depiction of observed species richness, survey effort and completeness values including a background with administrative areas.
Author: Cástor Guisande González and Jorge M. Lobo
Maintainer: Cástor Guisande González <castor@uvigo.es>

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Package configr updated to version 0.3.3 with previous version 0.3.2.2 dated 2018-05-06

Title: An Implementation of Parsing and Writing Configuration File (JSON/INI/YAML/TOML)
Description: Implements the JSON, INI, YAML and TOML parser for R setting and writing of configuration file. The functionality of this package is similar to that of package 'config'.
Author: Jianfeng Li [aut, cre] (<https://orcid.org/0000-0003-2349-208X>)
Maintainer: Jianfeng Li <lee_jianfeng@sjtu.edu.cn>

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Package validate updated to version 0.2.5 with previous version 0.2.4 dated 2018-03-28

Title: Data Validation Infrastructure
Description: Declare data validation rules and data quality indicators; confront data with them and analyze or visualize the results. The package supports rules that are per-field, in-record, cross-record or cross-dataset. Rules can be automatically analyzed for rule type and connectivity.
Author: Mark van der Loo [cre, aut], Edwin de Jonge [aut], Paul Hsieh [ctb]
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

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Package heatwaveR updated to version 0.3.0 with previous version 0.2.7 dated 2018-05-30

Title: Detect Heatwaves and Cold-Spells
Description: The different methods of defining and detecting extreme events, known as heatwaves or cold-spells in both air and water temperature data are encompassed within this package. These detection algorithms may be used on non-temperature data as well however, this is not catered for explicitly here as no use of this technique in the literature currently exists.
Author: Robert W. Schlegel [aut, cre, ctb] (<https://orcid.org/0000-0002-0705-1287>), Albertus J. Smit [aut, ctb] (<https://orcid.org/0000-0002-3799-6126>)
Maintainer: Robert W. Schlegel <robwschlegel@gmail.com>

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Package RcmdrPlugin.temis updated to version 0.7.10 with previous version 0.7.9 dated 2017-07-11

Title: Graphical Integrated Text Mining Solution
Description: An 'R Commander' plug-in providing an integrated solution to perform a series of text mining tasks such as importing and cleaning a corpus, and analyses like terms and documents counts, vocabulary tables, terms co-occurrences and documents similarity measures, time series analysis, correspondence analysis and hierarchical clustering. Corpora can be imported from spreadsheet-like files, directories of raw text files, 'Twitter' queries, as well as from 'Dow Jones Factiva', 'LexisNexis', 'Europresse' and 'Alceste' files.
Author: Milan Bouchet-Valat [aut, cre], Gilles Bastin [aut]
Maintainer: Milan Bouchet-Valat <nalimilan@club.fr>

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Package protViz updated to version 0.3.1 with previous version 0.2.45 dated 2017-11-17

Title: Visualizing and Analyzing Mass Spectrometry Related Data in Proteomics
Description: Helps with quality checks, visualizations and analysis of mass spectrometry data, coming from proteomics experiments. The package is developed, tested and used at the Functional Genomics Center Zurich. We use this package mainly for prototyping, teaching, and having fun with proteomics data. But it can also be used to do data analysis for small scale data sets.
Author: Christian Panse [aut, cre] (<https://orcid.org/0000-0003-1975-3064>), Jonas Grossmann [aut] (<https://orcid.org/0000-0002-6899-9020>), Simon Barkow-Oesterreicher [ctb]
Maintainer: Christian Panse <cp@fgcz.ethz.ch>

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Package mlt updated to version 1.0-2 with previous version 1.0-1 dated 2018-04-20

Title: Most Likely Transformations
Description: Likelihood-based estimation of conditional transformation models via the most likely transformation approach described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291>.
Author: Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package lcmm updated to version 1.7.9 with previous version 1.7.8 dated 2017-05-29

Title: Extended Mixed Models Using Latent Classes and Latent Processes
Description: Estimation of various extensions of the mixed models including latent class mixed models, joint latent latent class mixed models and mixed models for curvilinear univariate or multivariate longitudinal outcomes using a maximum likelihood estimation method.
Author: Cecile Proust-Lima, Viviane Philipps, Amadou Diakite and Benoit Liquet
Maintainer: Cecile Proust-Lima <cecile.proust-lima@inserm.fr>

Diff between lcmm versions 1.7.8 dated 2017-05-29 and 1.7.9 dated 2018-06-22

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Package robcbi updated to version 1.1-2 with previous version 1.1.1 dated 2018-05-09

Title: Conditionally Unbiased Bounded Influence Estimates
Description: Conditionally unbiased bounded influence estimates as described in Kuensch et al. (1989) <doi:10.1080/01621459.1989.10478791> in three special cases of the generalized linear model: Bernoulli, Binomial, and Poisson distributed responses.
Author: Alfio Marazzi <Alfio.Marazzi@chuv.ch>
Maintainer: A. Randriamiharisoa <Alex.Randriamiharisoa@chuv.ch>

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Package mosum updated to version 1.2.0 with previous version 1.1 dated 2018-04-05

Title: Moving Sum Based Procedures for Changes in the Mean
Description: Implementations of MOSUM-based statistical procedures and algorithms for detecting multiple changes in the mean. This comprises the MOSUM procedure for estimating multiple mean changes from Eichinger and Kirch (2018) <doi:10.3150/16-BEJ887> and the multiscale algorithmic extensions from Cho and Kirch (2018+).
Author: Alexander Meier [aut], Haeran Cho [aut, cre], Claudia Kirch [aut]
Maintainer: Haeran Cho <haeran.cho@bristol.ac.uk>

Diff between mosum versions 1.1 dated 2018-04-05 and 1.2.0 dated 2018-06-22

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Package acebayes updated to version 1.5 with previous version 1.4.1 dated 2017-07-13

Title: Optimal Bayesian Experimental Design using the ACE Algorithm
Description: Optimal Bayesian experimental design using the approximate coordinate exchange (ACE) algorithm.
Author: Antony M. Overstall, David C. Woods & Maria Adamou
Maintainer: Antony M. Overstall <A.M.Overstall@soton.ac.uk>

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More information about acebayes at CRAN
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Package AssetCorr updated to version 1.0.1 with previous version 1.0.0 dated 2018-06-06

Title: Estimating Asset Correlations from Default Data
Description: Functions for the estimation of intra- and inter-cohort correlations in the Vasicek credit portfolio model. For intra-cohort correlations, the package covers the two method of moments estimators of Gordy (2000) <doi:10.1016/S0378-4266(99)00054-0>, the method of moments estimator of Lucas (1995) <http://jfi.iijournals.com/content/4/4/76> and a Binomial approximation extension of this approach. Moreover, the maximum likelihood estimators of Gordy and Heitfield (2010) <http://elsa.berkeley.edu/~mcfadden/e242_f03/heitfield.pdf> and Duellmann and Gehde-Trapp (2004) <http://hdl.handle.net/10419/19729> are implemented. For inter-cohort correlations, the method of moments estimator of Bluhm and Overbeck (2003) <doi:10.1007/978-3-642-59365-9_2>/Bams et al. (2016) <https://ssrn.com/abstract=2676595> is provided and the maximum likelihood estimators comprise the approaches of Gordy and Heitfield (2010)/Kalkbrener and Onwunta (2010) <ISBN: 978-1906348250> and Pfeuffer et al. (2018). Bootstrap and Jackknife procedures for bias correction are included as well as the method of moments estimator of Frei and Wunsch (2018) <doi:10.21314/JCR.2017.231> for auto-correlated time series.
Author: Maximilian Nagl [aut,cre], Yevhen Havrylenko [aut], Marius Pfeuffer [aut], Kevin Jakob [aut], Matthias Fischer [aut], Daniel Roesch [aut]
Maintainer: Maximilian Nagl <maximilian.nagl@ur.de>

Diff between AssetCorr versions 1.0.0 dated 2018-06-06 and 1.0.1 dated 2018-06-22

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Package statnet.common updated to version 4.1.4 with previous version 4.1.2 dated 2018-06-05

Title: Common R Scripts and Utilities Used by the Statnet Project Software
Description: Non-statistical utilities used by the software developed by the Statnet Project. They may also be of use to others.
Author: Pavel N. Krivitsky [aut, cre], Skye Bender-deMoll [ctb]
Maintainer: Pavel N. Krivitsky <pavel@uow.edu.au>

Diff between statnet.common versions 4.1.2 dated 2018-06-05 and 4.1.4 dated 2018-06-22

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Package bisoreg updated to version 1.5 with previous version 1.4 dated 2015-03-19

Title: Bayesian Isotonic Regression with Bernstein Polynomials
Description: Provides functions for fitting Bayesian monotonic regression models to data.
Author: S. McKay Curtis <s.mckay.curtis@gmail.com>
Maintainer: S. McKay Curtis <s.mckay.curtis@gmail.com>

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Package s20x updated to version 3.1-27 with previous version 3.1-26 dated 2017-12-07

Title: Functions for University of Auckland Course STATS 201/208 Data Analysis
Description: A set of functions used in teaching STATS 201/208 Data Analysis at the University of Auckland. The functions are designed to make parts of R more accessible to a large undergraduate population who are mostly not statistics majors.
Author: Andrew Balemi, Dineika Chandra, James Curran, Brant Deppa, Mike Forster, Brendan McArdle, Ben Stevenson, Chris Wild
Maintainer: James Curran <j.curran@auckland.ac.nz>

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Package cbinom updated to version 1.2 with previous version 1.1 dated 2018-06-10

Title: Continuous Analog of a Binomial Distribution
Description: Implementation of the d/p/q/r family of functions for a continuous analog to the standard discrete binomial with continuous size parameter and continuous support with x in [0, size + 1], following Ilienko (2013) <arXiv:1303.5990>.
Author: Dan Dalthorp
Maintainer: Dan Dalthorp <ddalthorp@usgs.gov>

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Package mcmcplots updated to version 0.4.3 with previous version 0.4.2 dated 2015-03-19

Title: Create Plots from MCMC Output
Description: Functions for convenient plotting and viewing of MCMC output.
Author: S. McKay Curtis [aut, cre], Ilya Goldin [ctb], Evangelos Evangelou [ctb], 'sumtxt' from GitHub [ctb]
Maintainer: S. McKay Curtis <s.mckay.curtis@gmail.com>

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Package hexSticker updated to version 0.4.4 with previous version 0.4.3 dated 2018-03-04

Title: Create Hexagon Sticker in R
Description: Helper functions for creating reproducible hexagon sticker purely in R.
Author: Guangchuang Yu [aut, cre], Laurent Gatto [ctb], Johannes Rainer [ctb], Sebastian Gibb [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package Delaporte updated to version 6.2.0 with previous version 6.1.0 dated 2017-08-12

Title: Statistical Functions for the Delaporte Distribution
Description: Provides probability mass, distribution, quantile, random-variate generation, and method-of-moments parameter-estimation functions for the Delaporte distribution. The Delaporte is a discrete probability distribution which can be considered the convolution of a negative binomial distribution with a Poisson distribution. Alternatively, it can be considered a counting distribution with both Poisson and negative binomial components. It has been studied in actuarial science as a frequency distribution which has more variability than the Poisson, but less than the negative binomial.
Author: Avraham Adler [aut, cph, cre] (<https://orcid.org/0000-0002-3039-0703>)
Maintainer: Avraham Adler <Avraham.Adler@gmail.com>

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