Wed, 01 Aug 2018

Package netregR updated to version 1.0.1 with previous version 1.0.0 dated 2018-07-25

Title: Regression of Network Responses
Description: Regress network responses (both directed and undirected) onto covariates of interest that may be actor-, relation-, or network-valued. In addition, compute principled variance estimates of the coefficients assuming that the errors are jointly exchangeable. Missing data is accommodated. Additionally implements building and inversion of covariance matrices under joint exchangeability, and generates random covariance matrices from this class. For more detail on methods, see Marrs, Fosdick, and McCormick (2017) <arXiv:1701.05530>.
Author: Frank W. Marrs [aut, cre], Bailey K. Fosdick [aut], Tyler H. McCormick [aut]
Maintainer: Frank W. Marrs <frank.marrs@colostate.edu>

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Package spef updated to version 1.0.8 with previous version 1.0-7 dated 2018-02-26

Title: Semiparametric Estimating Functions
Description: Functions for fitting semiparametric regression models for panel count survival data. An overview of the package can be found in Wang and Yan (2011) <doi:10.1016/j.cmpb.2010.10.005> and Chiou et al. (2018) <doi:10.1111/insr.12271>.
Author: Sy Han (Steven) Chiou [aut, cre], Xiaojing Wang [aut], Jun Yan [aut]
Maintainer: Sy Han (Steven) Chiou <schiou@utdallas.edu>

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Package mbbefd updated to version 0.8.8.3 with previous version 0.8.8.2 dated 2018-05-10

Title: Maxwell Boltzmann Bose Einstein Fermi Dirac Distribution and Destruction Rate Modelling
Description: Distributions that are typically used for exposure rating in general insurance, in particular to price reinsurance contracts. The vignettes show code snippets to fit the distribution to empirical data.
Author: Giorgio Spedicato [aut, cre], Christophe Dutang [aut], Markus Gesmann [ctb]
Maintainer: Giorgio Spedicato <spedicato_giorgio@yahoo.it>

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Package JuliaCall updated to version 0.15.0 with previous version 0.14.0 dated 2018-07-05

Title: Seamless Integration Between R and 'Julia'
Description: Provides an R interface to 'Julia', which is a high-level, high-performance dynamic programming language for numerical computing, see <https://julialang.org/> for more information. It provides a high-level interface as well as a low-level interface. Using the high level interface, you could call any 'Julia' function just like any R function with automatic type conversion. Using the low level interface, you could deal with C-level SEXP directly while enjoying the convenience of using a high-level programming language like 'Julia'.
Author: Changcheng Li [aut, cre], Randy Lai [ctb], Dmitri Grominski [ctb], Nagi Teramo [ctb]
Maintainer: Changcheng Li <cxl508@psu.edu>

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Package udapi updated to version 0.1.2 with previous version 0.1.1 dated 2018-04-08

Title: Urban Dictionary API Client
Description: A client for the Urban Dictionary <http://www.urbandictionary.com/> API.
Author: Oliver Keyes [aut, cre]
Maintainer: Oliver Keyes <ironholds@gmail.com>

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Package RandVar updated to version 1.1.0 with previous version 1.0.1 dated 2017-04-23

Title: Implementation of Random Variables
Description: Implements random variables by means of S4 classes and methods.
Author: Matthias Kohl [cre, cph, aut], Peter Ruckdeschel [aut, cph]
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>

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Package epubr updated to version 0.4.1 with previous version 0.4.0 dated 2018-05-30

Title: Read EPUB File Metadata and Text
Description: Provides functions supporting the reading and parsing of internal e-book content from EPUB files. E-book formatting is non-standard enough across all literature that no function can curate parsed e-book content across an arbitrary collection of e-books, in completely general form, resulting in a singular, consistently formatted output containing all the same variables. EPUB file parsing functionality in this package is intended for relatively general application to arbitrary e-books. However, poorly formatted e-books or e-books with highly uncommon formatting may not work with this package. Text is read 'as is'. Additional text cleaning should be performed by the user at their discretion, such as with functions from packages like 'tm' or 'qdap'.
Author: Matthew Leonawicz [aut, cre]
Maintainer: Matthew Leonawicz <mfleonawicz@alaska.edu>

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Package mvctm updated to version 1.2 with previous version 1.1 dated 2017-03-08

Title: Multivariate Variance Components Tests for Multilevel Data
Description: Permutation tests for variance components for 2-level, 3-level and 4-level data with univariate or multivariate responses.
Author: Denis Larocque
Maintainer: Denis Larocque <denis.larocque@hec.ca>

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Package discSurv updated to version 1.3.4 with previous version 1.3.1 dated 2018-04-12

Title: Discrete Time Survival Analysis
Description: Provides data transformations, estimation utilities, predictive evaluation measures and simulation functions for discrete time survival analysis.
Author: Thomas Welchowski <welchow@imbie.meb.uni-bonn.de> and Matthias Schmid <matthias.schmid@imbie.uni-bonn.de>
Maintainer: Thomas Welchowski <welchow@imbie.meb.uni-bonn.de>

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Package wrapr updated to version 1.6.0 with previous version 1.5.1 dated 2018-07-08

Title: Wrap R Tools for Debugging and Parametric Programming
Description: Tools for writing and debugging R code. Provides: 'let()' (converts non-standard evaluation interfaces to parametric standard evaluation interfaces), '%.>%' dot-pipe (an 'S3' configurable pipe), 'build_frame()'/'draw_frame()' ('data.frame' example tools), 'qc()' (quoting concatenate), ':=' (named map builder), 'DebugFnW()' (capture function context on error for debugging), and more.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package rquery updated to version 0.6.1 with previous version 0.5.0 dated 2018-06-18

Title: Relational Query Generator for Data Manipulation at Scale
Description: A piped query generator based on Edgar F. Codd's relational algebra, and on production experience using 'SQL' and 'dplyr' at big data scale. The design represents an attempt to make 'SQL' more teachable by denoting composition by a sequential pipeline notation instead of nested queries or functions. The implementation delivers reliable high performance data processing on large data systems such as 'Spark', databases, and 'data.table'. Package features include: data processing trees or pipelines as observable objects (able to report both columns produced and columns used), optimized 'SQL' generation as an explicit user visible modeling step, explicit query reasoning and checking.
Author: John Mount [aut, cre], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package spData updated to version 0.2.9.3 with previous version 0.2.9.0 dated 2018-06-17

Title: Datasets for Spatial Analysis
Description: Diverse spatial datasets for demonstrating, benchmarking and teaching spatial data analysis. It includes R data of class sf (defined by the package 'sf'), Spatial ('sp'), and nb ('spdep'). Unlike other spatial data packages such as 'rnaturalearth' and 'maps', it also contains data stored in a range of file formats including GeoJSON, ESRI Shapefile and GeoPackage. Some of the datasets are designed to illustrate specific analysis techniques. cycle_hire() and cycle_hire_osm(), for example, is designed to illustrate point pattern analysis techniques.
Author: Roger Bivand [aut] (<https://orcid.org/0000-0003-2392-6140>), Jakub Nowosad [aut, cre] (<https://orcid.org/0000-0002-1057-3721>), Robin Lovelace [aut] (<https://orcid.org/0000-0001-5679-6536>), Mark Monmonier [ctb] (author of the state.vbm dataset), Greg Snow [ctb] (author of the state.vbm dataset)
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>

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Package colourvision updated to version 2.0.2 with previous version 2.0.1 dated 2018-05-10

Title: Colour Vision Models
Description: Colour vision models, colour spaces and colour thresholds. Provides flexibility to build user-defined colour vision models for n number of photoreceptor types. Also includes Vorobyev & Osorio (1998) Receptor Noise Limited models, Chittka (1992) colour hexagon, and Endler & Mielke (2005) model. Models have been extended to accept any number of photoreceptor types.
Author: Felipe M. Gawryszewski
Maintainer: Felipe Malheiros Gawrysewski <f.gawry@gmail.com>

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Package CANSIM2R updated to version 1.14.1 with previous version 1.13.1 dated 2018-07-25

Title: Directly Extracts Complete CANSIM Data Tables
Description: Extract CANSIM (Statistics Canada) tables and transform them into readily usable data in panel (wide) format. It can also extract more than one table at a time and produce the resulting merge by time period and geographical region.
Author: Marco Lugo <marco.lugo.rodriguez@umontreal.ca>
Maintainer: Marco Lugo <marco.lugo.rodriguez@umontreal.ca>

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Package validate updated to version 0.2.6 with previous version 0.2.5 dated 2018-06-22

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 tcR updated to version 2.2.2 with previous version 2.2.1.11 dated 2016-04-22

Title: Advanced Data Analysis of Immune Receptor Repertoires
Description: Platform for the advanced analysis of T cell receptor and Immunoglobulin repertoires data and visualisation of the analysis results.
Author: Vadim Nazarov
Maintainer: Vadim Nazarov <vdm.nazarov@gmail.com>

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Package spatstat updated to version 1.56-1 with previous version 1.56-0 dated 2018-06-15

Title: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
Description: Comprehensive open-source toolbox for analysing Spatial Point Patterns. Focused mainly on two-dimensional point patterns, including multitype/marked points, in any spatial region. Also supports three-dimensional point patterns, space-time point patterns in any number of dimensions, point patterns on a linear network, and patterns of other geometrical objects. Supports spatial covariate data such as pixel images. Contains over 2000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, pixel images, tessellations, and linear networks. Exploratory methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported. Parametric models can be fitted to point pattern data using the functions ppm(), kppm(), slrm(), dppm() similar to glm(). Types of models include Poisson, Gibbs and Cox point processes, Neyman-Scott cluster processes, and determinantal point processes. Models may involve dependence on covariates, inter-point interaction, cluster formation and dependence on marks. Models are fitted by maximum likelihood, logistic regression, minimum contrast, and composite likelihood methods. A model can be fitted to a list of point patterns (replicated point pattern data) using the function mppm(). The model can include random effects and fixed effects depending on the experimental design, in addition to all the features listed above. Fitted point process models can be simulated, automatically. Formal hypothesis tests of a fitted model are supported (likelihood ratio test, analysis of deviance, Monte Carlo tests) along with basic tools for model selection (stepwise(), AIC()) and variable selection (sdr). Tools for validating the fitted model include simulation envelopes, residuals, residual plots and Q-Q plots, leverage and influence diagnostics, partial residuals, and added variable plots.
Author: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>, Rolf Turner <r.turner@auckland.ac.nz> and Ege Rubak <rubak@math.aau.dk>, with substantial contributions of code by Kasper Klitgaard Berthelsen; Ottmar Cronie; Yongtao Guan; Ute Hahn; Abdollah Jalilian; Marie-Colette van Lieshout; Greg McSwiggan; Tuomas Rajala; Suman Rakshit; Dominic Schuhmacher; Rasmus Waagepetersen; and Hangsheng Wang. Additional contributions by M. Adepeju; C. Anderson; Q.W. Ang; J. Astrom; M. Austenfeld; S. Azaele; M. Baddeley; C. Beale; M. Bell; R. Bernhardt; T. Bendtsen; A. Bevan; B. Biggerstaff; A. Bilgrau; L. Bischof; C. Biscio; R. Bivand; J.M. Blanco Moreno; F. Bonneu; J. Burgos; S. Byers; Y.M. Chang; J.B. Chen; I. Chernayavsky; Y.C. Chin; B. Christensen; J.-F. Coeurjolly; K. Colyvas; R. Constantine; R. Corria Ainslie; R. Cotton; M. de la Cruz; P. Dalgaard; M. D'Antuono; S. Das; T. Davies; P.J. Diggle; P. Donnelly; I. Dryden; S. Eglen; A. El-Gabbas; B. Fandohan; O. Flores; E.D. Ford; P. Forbes; S. Frank; J. Franklin; N. Funwi-Gabga; O. Garcia; A. Gault; J. Geldmann; M. Genton; S. Ghalandarayeshi; J. Gilbey; J. Goldstick; P. Grabarnik; C. Graf; U. Hahn; A. Hardegen; M.B. Hansen; M. Hazelton; J. Heikkinen; M. Hering; M. Herrmann; P. Hewson; K. Hingee; K. Hornik; P. Hunziker; J. Hywood; R. Ihaka; C. Icos; A. Jammalamadaka; R. John-Chandran; D. Johnson; M. Khanmohammadi; R. Klaver; P. Kovesi; L. Kozmian-Ledward; M. Kuhn; J. Laake; F. Lavancier; T. Lawrence; R.A. Lamb; J. Lee; G.P. Leser; A. Li; H.T. Li; G. Limitsios; A. Lister; B. Madin; M. Maechler; J. Marcus; K. Marchikanti; R. Mark; J. Mateu; P. McCullagh; U. Mehlig; F. Mestre; S. Meyer; X.C. Mi; L. De Middeleer; R.K. Milne; E. Miranda; J. Moller; I. Moncada; M. Moradi; V. Morera Pujol; E. Mudrak; G.M. Nair; N. Najari; N. Nava; L.S. Nielsen; F. Nunes; J.R. Nyengaard; J. Oehlschlaegel; T. Onkelinx; S. O'Riordan; E. Parilov; J. Picka; N. Picard; M. Porter; S. Protsiv; A. Raftery; S. Rakshit; B. Ramage; P. Ramon; X. Raynaud; N. Read; M. Reiter; I. Renner; T.O. Richardson; B.D. Ripley; E. Rosenbaum; B. Rowlingson; J. Rudokas; J. Rudge; C. Ryan; F. Safavimanesh; A. Sarkka; C. Schank; K. Schladitz; S. Schutte; B.T. Scott; O. Semboli; F. Semecurbe; V. Shcherbakov; G.C. Shen; P. Shi; H.-J. Ship; T.L. Silva; I.-M. Sintorn; Y. Song; M. Spiess; M. Stevenson; K. Stucki; M. Sumner; P. Surovy; B. Taylor; T. Thorarinsdottir; L. Torres; B. Turlach; T. Tvedebrink; K. Ummer; M. Uppala; A. van Burgel; T. Verbeke; M. Vihtakari; A. Villers; F. Vinatier; S. Voss; S. Wagner; H. Wang; H. Wendrock; J. Wild; C. Witthoft; S. Wong; M. Woringer; M.E. Zamboni and A. Zeileis.
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package pbdMPI updated to version 0.3-7 with previous version 0.3-6 dated 2018-05-14

Title: Programming with Big Data -- Interface to MPI
Description: An efficient interface to MPI by utilizing S4 classes and methods with a focus on Single Program/Multiple Data ('SPMD') parallel programming style, which is intended for batch parallel execution.
Author: Wei-Chen Chen [aut, cre], George Ostrouchov [aut], Drew Schmidt [aut], Pragneshkumar Patel [aut], Hao Yu [aut], Christian Heckendorf [ctb] (FreeBSD), Brian Ripley [ctb] (Windows HPC Pack 2012), R Core team [ctb] (some functions are modified from the base packages)
Maintainer: Wei-Chen Chen <wccsnow@gmail.com>

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Package jomo updated to version 2.6-3 with previous version 2.6-2 dated 2018-04-26

Title: Multilevel Joint Modelling Multiple Imputation
Description: Similarly to Schafer's package 'pan', 'jomo' is a package for multilevel joint modelling multiple imputation (Carpenter and Kenward, 2013) <doi: 10.1002/9781119942283>. Novel aspects of 'jomo' are the possibility of handling binary and categorical data through latent normal variables, the option to use cluster-specific covariance matrices and to impute compatibly with the substantive model.
Author: Matteo Quartagno, James Carpenter
Maintainer: Matteo Quartagno <matteo.quartagno@lshtm.ac.uk>

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Package distrMod updated to version 2.7.0 with previous version 2.6.1 dated 2016-09-04

Title: Object Oriented Implementation of Probability Models
Description: Implements S4 classes for probability models based on packages 'distr' and 'distrEx'.
Author: Matthias Kohl [aut, cph], Peter Ruckdeschel [cre, cph], R Core Team [ctb, cph] (for source file 'format.perc')
Maintainer: Peter Ruckdeschel <peter.ruckdeschel@uni-oldenburg.de>

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Package ContaminatedMixt updated to version 1.3.3 with previous version 1.3.2 dated 2018-01-29

Title: Model-Based Clustering and Classification with the Multivariate Contaminated Normal Distribution
Description: Fits mixtures of multivariate contaminated normal distributions (with eigen-decomposed scale matrices) via the expectation conditional- maximization algorithm under a clustering or classification paradigm.
Author: Antonio Punzo, Angelo Mazza, Paul D. McNicholas
Maintainer: Angelo Mazza <a.mazza@unict.it>

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Package codebook updated to version 0.6.3 with previous version 0.6.2 dated 2018-07-26

Title: Automatic Codebooks from Survey Metadata Encoded in Attributes
Description: Easily automate the following tasks to describe data frames: summarise the distributions of scales and items graphically and using descriptive statistics, compute reliabilities (internal consistencies, retest, multilevel) for psychological scales, combine this information with metadata (such as item labels and labelled values) that is derived from R attributes. To do so, the package relies on 'rmarkdown' partials, so you can generate HTML, PDF, and Word documents. Codebooks are also available as tables (CSV, Excel, etc.). The metadata and codebooks are also available at your fingertips via RStudio Addins.
Author: Ruben Arslan [aut, cre]
Maintainer: Ruben Arslan <ruben.arslan@gmail.com>

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Package climdex.pcic updated to version 1.1-9 with previous version 1.1-6 dated 2015-06-30

Title: PCIC Implementation of Climdex Routines
Description: PCIC's implementation of Climdex routines for computation of extreme climate indices.
Author: David Bronaugh <bronaugh@uvic.ca> for the Pacific Climate Impacts Consortium
Maintainer: James Hiebert <hiebert@uvic.ca>

Diff between climdex.pcic versions 1.1-6 dated 2015-06-30 and 1.1-9 dated 2018-08-01

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Package redcapAPI updated to version 2.2 with previous version 2.1 dated 2018-05-11

Title: Interface to 'REDCap'
Description: Access data stored in 'REDCap' databases using the Application Programming Interface (API). 'REDCap' (Research Electronic Data CAPture; <https://projectredcap.org>) is a web application for building and managing online surveys and databases developed at Vanderbilt University. The API allows users to access data and project meta data (such as the data dictionary) from the web programmatically. The 'redcapAPI' package facilitates the process of accessing data with options to prepare an analysis-ready data set consistent with the definitions in a database's data dictionary.
Author: Benjamin Nutter [aut, ctb, cre], Stephen Lane [ctb], Will Beasley [ctb], Jeffrey Horner [ctb], Will Gray [ctb], Jeremy Stephens [ctb]
Maintainer: Benjamin Nutter <benjamin.nutter@gmail.com>

Diff between redcapAPI versions 2.1 dated 2018-05-11 and 2.2 dated 2018-08-01

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Package PNADcIBGE updated to version 0.4.2 with previous version 0.4.1.1 dated 2018-04-11

Title: Downloading, Reading and Analysing PNADc Microdata
Description: Provides tools for download, read, and analyse the PNADc household survey from Brazilian Institute of Geography and Statistics. The data must be downloaded from the official website <https://www.ibge.gov.br/>. Further analyses must be made using package 'survey'.
Author: Douglas Braga [aut, cre]
Maintainer: Douglas Braga <douglas.braga@ibge.gov.br>

Diff between PNADcIBGE versions 0.4.1.1 dated 2018-04-11 and 0.4.2 dated 2018-08-01

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Package ggsom updated to version 0.2.1 with previous version 0.2.0 dated 2018-07-28

Title: New Data Visualisations for SOMs Cluster
Description: Contains parallel coordinate and attribute mapping visualisations for cluster data.
Author: Felipe Carvalho [aut, cre], Rafael Santos [ctb]
Maintainer: Felipe Carvalho <lipecaso@gmail.com>

Diff between ggsom versions 0.2.0 dated 2018-07-28 and 0.2.1 dated 2018-08-01

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 ggsom-0.2.1/ggsom/R/aes_som.R                                                                       |    9 +-
 ggsom-0.2.1/ggsom/R/ggsom_rect.R                                                                    |    3 
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 ggsom-0.2.1/ggsom/R/utils.R                                                                         |    2 
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Package finalfit updated to version 0.8.4 with previous version 0.8.3 dated 2018-07-25

Title: Quickly Create Elegant Regression Results Tables and Plots when Modelling
Description: Generate regression results tables and plots in final format for publication. Explore models and export directly to PDF and 'Word' using 'RMarkdown'.
Author: Ewen Harrison, Tom Drake, Riinu Ots
Maintainer: Ewen Harrison <ewen.harrison@ed.ac.uk>

Diff between finalfit versions 0.8.3 dated 2018-07-25 and 0.8.4 dated 2018-08-01

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Package double.truncation updated to version 1.1 with previous version 1.0 dated 2018-07-22

Title: Analysis of Doubly-Truncated Data
Description: Likelihood-based inference methods with doubly-truncated data are developed under various models. Parametric models from the special exponential family (SEF) are based on Hu and Emura (2015) <doi:10.1007/s00180-015-0564-z> and Emura, Hu and Konno (2017) <doi:10.1007/s00362-015-0730-y>.
Author: Takeshi Emura, Hu Ya-Hsuan
Maintainer: Takeshi Emura <takeshiemura@gmail.com>

Diff between double.truncation versions 1.0 dated 2018-07-22 and 1.1 dated 2018-08-01

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New package aws.kms with initial version 0.1.2
Package: aws.kms
Type: Package
Title: 'AWS Key Management Service' Client Package
Version: 0.1.2
Date: 2018-07-31
Authors@R: c(person("Thomas J.", "Leeper", role = c("aut", "cre"), email = "thosjleeper@gmail.com", comment = c(ORCID = "0000-0003-4097-6326")))
Description: Client package for the 'AWS Key Management Service' <https://aws.amazon.com/kms/>, a cloud service for managing encryption keys.
License: GPL (>= 2)
URL: https://github.com/cloudyr/aws.kms
BugReports: https://github.com/cloudyr/aws.kms/issues
Imports: httr, jsonlite, base64enc, aws.signature (>= 0.4.0)
Suggests: testthat
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-07-31 15:51:24 UTC; THOMAS
Author: Thomas J. Leeper [aut, cre] (<https://orcid.org/0000-0003-4097-6326>)
Maintainer: Thomas J. Leeper <thosjleeper@gmail.com>
Repository: CRAN
Date/Publication: 2018-08-01 13:10:03 UTC

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Package albopictus updated to version 0.4 with previous version 0.3 dated 2018-06-25

Title: Age-Structured Population Dynamics Model
Description: Implements discrete time deterministic and stochastic age-structured population dynamics models described in Erguler and others (2016) <doi:10.1371/journal.pone.0149282> and Erguler and others (2017) <doi:10.1371/journal.pone.0174293>.
Author: Kamil Erguler [aut, cre]
Maintainer: Kamil Erguler <k.erguler@cyi.ac.cy>

Diff between albopictus versions 0.3 dated 2018-06-25 and 0.4 dated 2018-08-01

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New package nodbi with initial version 0.1.0
Package: nodbi
Title: 'NoSQL' Database Connector
Description: Simplified document database manipulation and analysis, including support for many 'NoSQL' databases, including document databases ('Elasticsearch', 'CouchDB', 'MongoDB'), 'key-value' databases ('Redis'), and other 'NoSQL' types ('etcd').
Version: 0.1.0
Authors@R: c( person("Scott", "Chamberlain", role = c("aut", "cre"), email = "sckott@protonmail.com", comment = c(ORCID = "0000-0003-1444-9135")), person("Rich", "FitzJohn", role = "aut"), person("Jeroen", "Ooms", role = "aut") )
License: MIT + file LICENSE
LazyData: true
URL: https://github.com/ropensci/nodbi
BugReports: https://github.com/ropensci/nodbi/issues
Depends: R (>= 2.10)
Imports: data.table, jsonlite
Suggests: sofa (>= 0.3.0), etseed (>= 0.1.0), elastic (>= 0.8.4), mongolite (>= 1.6), redux, testthat
RoxygenNote: 6.0.1
X-schema.org-applicationCategory: Databases
X-schema.org-keywords: database, MongoDB, Redis, Elasticsearch, CouchDB, NoSQL, JSON, documents
X-schema.org-isPartOf: https://ropensci.org
NeedsCompilation: no
Packaged: 2018-07-24 21:17:04 UTC; sckott
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Rich FitzJohn [aut], Jeroen Ooms [aut]
Maintainer: Scott Chamberlain <sckott@protonmail.com>
Repository: CRAN
Date/Publication: 2018-08-01 13:00:03 UTC

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Package ARIbrain updated to version 0.2 with previous version 0.1 dated 2018-07-31

Title: All-Resolution Inference
Description: It performs All-Resolutions Inference (ARI) on functional Magnetic Resonance Image (fMRI) data. As a main feature, it estimates lower bounds for the proportion of active voxels in a set of clusters as, for example, given by a cluster-wise analysis. The method is described in Rosenblatt, Finos, Weeda, Solari, Goeman (2018) <doi:10.1016/j.neuroimage.2018.07.060>.
Author: Livio Finos, Jelle Goeman, Wouter Weeda, Jonathan Rosenblatt, Aldo Solari
Maintainer: Livio Finos <livio.finos@unipd.it>

Diff between ARIbrain versions 0.1 dated 2018-07-31 and 0.2 dated 2018-08-01

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New package lfl with initial version 1.4.2
Package: lfl
Type: Package
Title: Linguistic Fuzzy Logic
Version: 1.4.2
Date: 2018-08-02
Author: Michal Burda
Maintainer: Michal Burda <michal.burda@osu.cz>
Description: Various algorithms related to linguistic fuzzy logic: mining for linguistic fuzzy association rules, composition of fuzzy relations, performing perception-based logical deduction (PbLD), and forecasting time-series using fuzzy rule-based ensemble (FRBE) - see Burda (2015) <doi:10.1109/FUZZ-IEEE.2015.7337826>.
License: GPL (>= 3.0)
Suggests: testthat
Depends: R (>= 3.4.0)
Imports: Rcpp (>= 0.11.0), foreach, forecast (>= 5.5), plyr, tseries, e1071, zoo, utils
LinkingTo: Rcpp
NeedsCompilation: yes
SystemRequirements: C++11
Encoding: UTF-8
Packaged: 2018-08-01 10:07:43 UTC; michal
Repository: CRAN
Date/Publication: 2018-08-01 11:20:03 UTC

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Package causalweight updated to version 0.1.1 with previous version 0.1.0 dated 2018-02-23

Title: Estimation Methods for Causal Inference Based on Inverse Probability Weighting
Description: Various estimation methods for causal inference based on inverse probability weighting. Specifically, the package includes methods for estimating average treatment effects as well as direct and indirect effects in causal mediation analysis. The models refer to the studies of Frölich (2007) <doi:10.1016/j.jeconom.2006.06.004>, Huber (2012) <doi:10.3102/1076998611411917>, Huber (2014) <doi:10.1080/07474938.2013.806197>, Huber (2014) <doi:10.1002/jae.2341>, and Frölich and Huber (2017) <doi:10.1111/rssb.12232>.
Author: Hugo Bodory and Martin Huber
Maintainer: Hugo Bodory <hugo.bodory@unifr.ch>

Diff between causalweight versions 0.1.0 dated 2018-02-23 and 0.1.1 dated 2018-08-01

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Package NCA updated to version 3.0 with previous version 2.0 dated 2016-05-18

Title: Necessary Condition Analysis
Description: Performs a Necessary Condition Analysis (NCA). (Dul, J. 2016. Necessary Condition Analysis (NCA). ''Logic and Methodology of 'Necessary but not Sufficient' causality." Organizational Research Methods 19(1), 10-52, <http://journals.sagepub.com/doi/abs/10.1177/1094428115584005>). NCA identifies necessary (but not sufficient) conditions in datasets, where x causes (e.g. precedes) y. Instead of drawing a regression line ''through the middle of the data'' in an xy-plot, NCA draws the ceiling line. The ceiling line y = f(x) separates the area with observations from the area without observations. (Nearly) all observations are below the ceiling line: y <= f(x). The empty zone is in the upper left hand corner of the xy-plot (with the convention that the x-axis is ''horizontal'' and the y-axis is ''vertical'' and that values increase ''upwards'' and ''to the right''). The ceiling line is a (piecewise) linear non-decreasing line: a linear step function or a straight line. It indicates which level of x (e.g. an effort or input) is necessary but not sufficient for a (desired) level of y (e.g. good performance or output). A quick start guide for using this package can be found here: <http://repub.eur.nl/pub/78323/> or <https://ssrn.com/abstract=2624981>.
Author: Jan Dul <jdul@rsm.nl>
Maintainer: Govert Buijs <buijs@rsm.nl>

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Package XML updated to version 3.98-1.13 with previous version 3.98-1.12 dated 2018-07-15

Title: Tools for Parsing and Generating XML Within R and S-Plus
Description: Many approaches for both reading and creating XML (and HTML) documents (including DTDs), both local and accessible via HTTP or FTP. Also offers access to an 'XPath' "interpreter".
Author: Duncan Temple Lang and the CRAN Team
Maintainer: ORPHANED

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Package reproducible updated to version 0.2.2 with previous version 0.2.1 dated 2018-07-07

Title: A Set of Tools that Enhance Reproducibility Beyond Package Management
Description: Collection of high-level, robust, machine- and OS-independent tools for making deeply reproducible and reusable content in R. This includes light weight package management (similar to 'packrat' and 'checkpoint', but more flexible, lightweight and simpler than both), tools for caching, downloading and verifying or writing checksums, post-processing of common spatial datasets, and accessing GitHub repositories. Some features are still under active development.
Author: Eliot J B McIntire [aut, cre], Alex M Chubaty [aut], Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada [cph]
Maintainer: Eliot J B McIntire <eliot.mcintire@canada.ca>

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Package hyper2 updated to version 1.0-4 with previous version 1.0-1 dated 2017-07-08

Title: The Hyperdirichlet Distribution, Mark 2
Description: A suite of routines for the hyperdirichlet distribution; supersedes the 'hyperdirichlet' package for most purposes.
Author: Robin K. S. Hankin
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package rite (with last version 0.3.4) was removed from CRAN

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

2014-08-19 0.3.4
2014-02-24 0.3.1
2014-01-08 0.3
2013-06-10 0.2
2013-06-05 0.1

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Package ICcalib updated to version 1.0.8 with previous version 1.0.7 dated 2018-01-19

Title: Cox Model with Interval-Censored Starting Time of a Covariate
Description: Calibration and risk-set calibration methods for fitting Cox proportional hazard model when a binary covariate is measured intermittently. Methods include functions to fit calibration models from interval-censored data and modified partial likelihood for the proportional hazard model, Nevo et al. (2018+) <arXiv:1801.01529>.
Author: Daniel Nevo
Maintainer: Daniel Nevo <danielnevo@gmail.com>

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Package csvy updated to version 0.3.0 with previous version 0.1.3 dated 2016-07-28

Title: Import and Export CSV Data with a YAML Metadata Header
Description: Support for import from and export to the CSVY file format. CSVY is a file format that combines the simplicity of CSV (comma-separated values) with the metadata of other plain text and binary formats (JSON, XML, Stata, etc.) by placing a YAML header on top of a regular CSV.
Author: Thomas J. Leeper [aut, cre] (<https://orcid.org/0000-0003-4097-6326>), Alexey N. Shiklomanov [aut] (<https://orcid.org/0000-0003-4022-5979>), Jonathan Carroll [aut] (<https://orcid.org/0000-0002-1404-5264>)
Maintainer: Thomas J. Leeper <thosjleeper@gmail.com>

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