Sun, 15 Sep 2019

Package DRHotNet updated to version 1.1 with previous version 1.0 dated 2019-06-14

Title: Differential Risk Hotspots in a Linear Network
Description: Performs the identification of differential risk hotspots (Briz-Redon et al. 2019) <doi:10.1016/j.aap.2019.105278> along a linear network. Given a marked point pattern lying on the linear network, the method implemented uses a network-constrained version of kernel density estimation (McSwiggan et al. 2017) <doi:10.1111/sjos.12255> to approximate the probability of occurrence across space for the type of event specified by the user through the marks of the pattern (Kelsall and Diggle 1995) <doi:10.2307/3318678>. The goal is to detect microzones of the linear network where the type of event indicated by the user is overrepresented.
Author: Alvaro Briz-Redon
Maintainer: Alvaro Briz-Redon <alvaro.briz@uv.es>

Diff between DRHotNet versions 1.0 dated 2019-06-14 and 1.1 dated 2019-09-15

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Package disk.frame updated to version 0.1.1 with previous version 0.1.0 dated 2019-08-20

Title: Larger-than-RAM Disk-Based Data Manipulation Framework
Description: A disk-based data manipulation tool for working with large-than-RAM datasets. Aims to lower the barrier-to-entry for manipulating large datasets by adhering closely to popular and familiar data manipulation paradigms like dplyr verbs and data.table syntax.
Author: Dai ZJ [aut, cre]
Maintainer: Dai ZJ <zhuojia.dai@gmail.com>

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Package parlitools updated to version 0.3.4 with previous version 0.3.3 dated 2019-05-30

Title: Tools for Analysing UK Politics
Description: Provides various tools for analysing UK political data, including election result datasets, hexagonal cartograms and functions to retrieve council member data.
Author: Evan Odell [aut, cre] (<https://orcid.org/0000-0003-1845-808X>)
Maintainer: Evan Odell <evanodell91@gmail.com>

Diff between parlitools versions 0.3.3 dated 2019-05-30 and 0.3.4 dated 2019-09-15

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Package GLSME updated to version 1.0.5 with previous version 1.0.4 dated 2018-05-16

Title: Generalized Least Squares with Measurement Error
Description: Performs linear regression with correlated predictors, responses and correlated measurement errors in predictors and responses, correcting for biased caused by these.
Author: Krzysztof Bartoszek <krzbar@protonmail.ch>
Maintainer: Krzysztof Bartoszek <krzbar@protonmail.ch>

Diff between GLSME versions 1.0.4 dated 2018-05-16 and 1.0.5 dated 2019-09-15

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Package DDIwR updated to version 0.4 with previous version 0.3 dated 2019-04-26

Title: DDI with R
Description: Useful functions for various DDI (Data Documentation Initiative) related inputs and outputs.
Author: Adrian Dusa [aut, cre]
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

Diff between DDIwR versions 0.3 dated 2019-04-26 and 0.4 dated 2019-09-15

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Package cdata updated to version 1.1.2 with previous version 1.1.1 dated 2019-07-24

Title: Fluid Data Transformations
Description: Supplies higher-order coordinatized data specification and fluid transform operators that include pivot and anti-pivot as special cases. The methodology is describe in 'Zumel', 2018, "Fluid data reshaping with 'cdata'", <http://winvector.github.io/FluidData/FluidDataReshapingWithCdata.html> , doi:10.5281/zenodo.1173299 . This package introduces the idea of explicit control table specification of data transforms. Works on in-memory data or on remote data using 'rquery' and 'SQL' database interfaces.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package gpg updated to version 1.2.1 with previous version 1.2 dated 2019-05-01

Title: GNU Privacy Guard for R
Description: Bindings to GnuPG for working with OpenGPG (RFC4880) cryptographic methods. Includes utilities for public key encryption, creating and verifying digital signatures, and managing your local keyring. Note that some functionality depends on the version of GnuPG that is installed on the system. On Windows this package can be used together with 'GPG4Win' which provides a GUI for managing keys and entering passphrases.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package clusterSEs updated to version 2.6.2 with previous version 2.6 dated 2019-06-09

Title: Calculate Cluster-Robust p-Values and Confidence Intervals
Description: Calculate p-values and confidence intervals using cluster-adjusted t-statistics (based on Ibragimov and Muller (2010) <DOI:10.1198/jbes.2009.08046>, pairs cluster bootstrapped t-statistics, and wild cluster bootstrapped t-statistics (the latter two techniques based on Cameron, Gelbach, and Miller (2008) <DOI:10.1162/rest.90.3.414>. Procedures are included for use with GLM, ivreg, plm (pooling or fixed effects), and mlogit models.
Author: Justin Esarey [aut, cre]
Maintainer: Justin Esarey <justin@justinesarey.com>

Diff between clusterSEs versions 2.6 dated 2019-06-09 and 2.6.2 dated 2019-09-15

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Package rquery updated to version 1.3.8 with previous version 1.3.7 dated 2019-07-29

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 table modeling step, plus 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 sampler updated to version 0.2.4 with previous version 0.2.3 dated 2019-01-27

Title: Sample Design, Drawing & Data Analysis Using Data Frames
Description: Determine sample sizes, draw samples, and conduct data analysis using data frames. It specifically enables you to determine simple random sample sizes, stratified sample sizes, and complex stratified sample sizes using a secondary variable such as population; draw simple random samples and stratified random samples from sampling data frames; determine which observations are missing from a random sample, missing by strata, duplicated within a dataset; and perform data analysis, including proportions, margins of error and upper and lower bounds for simple, stratified and cluster sample designs.
Author: Michael Baldassaro
Maintainer: Michael Baldassaro <mbaldassaro@gmail.com>

Diff between sampler versions 0.2.3 dated 2019-01-27 and 0.2.4 dated 2019-09-15

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Package recipes updated to version 0.1.7 with previous version 0.1.6 dated 2019-07-02

Title: Preprocessing Tools to Create Design Matrices
Description: An extensible framework to create and preprocess design matrices. Recipes consist of one or more data manipulation and analysis "steps". Statistical parameters for the steps can be estimated from an initial data set and then applied to other data sets. The resulting design matrices can then be used as inputs into statistical or machine learning models.
Author: Max Kuhn [aut, cre], Hadley Wickham [aut], RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

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Package embed updated to version 0.0.4 with previous version 0.0.3 dated 2019-07-12

Title: Extra Recipes for Encoding Categorical Predictors
Description: Predictors can be converted to one or more numeric representations using simple generalized linear models <arXiv:1611.09477> or nonlinear models <arXiv:1604.06737>. All encoding methods are supervised.
Author: Max Kuhn [aut, cre], RStudio [cph]
Maintainer: Max Kuhn <max@rstudio.com>

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Package cmprskQR updated to version 0.9.2 with previous version 0.9.1 dated 2016-01-29

Title: Analysis of Competing Risks Using Quantile Regressions
Description: Estimation, testing and regression modeling of subdistribution functions in competing risks using quantile regressions, as described in Peng and Fine (2009) <DOI:10.1198/jasa.2009.tm08228>.
Author: Stephan Dlugosz [aut, cre], Limin Peng [aut], Ruosha Li [aut], Shuolin Shi [ctb]
Maintainer: Stephan Dlugosz <stephan.dlugosz@googlemail.com>

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Package pinp updated to version 0.0.9 with previous version 0.0.8 dated 2019-09-08

Title: 'pinp' is not 'PNAS'
Description: A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Sciences of the United States of America' ('PNAS', see <https://www.pnas.org>) 'LaTeX' style, and adapted for use with 'markdown' and 'pandoc'.
Author: Dirk Eddelbuettel and James Balamuta
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package roadoi updated to version 0.6 with previous version 0.5.2 dated 2018-08-07

Title: Find Free Versions of Scholarly Publications via Unpaywall
Description: This web client interfaces Unpaywall <https://unpaywall.org/products/api>, formerly oaDOI, a service finding free full-texts of academic papers by linking DOIs with open access journals and repositories. It provides unified access to various data sources for open access full-text links including Crossref and the Directory of Open Access Journals (DOAJ). API usage is free and no registration is required.
Author: Najko Jahn [aut, cre], Tuija Sonkkila [rev] (Tuija Sonkkila reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/115, <https://orcid.org/0000-0002-6892-9305>), Ross Mounce [rev] (Ross Mounce reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/115, <https://orcid.org/0000-0002-3520-2046>)
Maintainer: Najko Jahn <najko.jahn@gmail.com>

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Package admisc updated to version 0.4 with previous version 0.3 dated 2019-08-02

Title: Adrian Dusa's Miscellaneous
Description: Contains functions used across packages 'QCA', 'DDIwR', and 'venn'. Interprets and translates DNF - Disjunctive Normal Form and SOP - Sum of Products expressions, for both binary and multi-value crisp sets, and extracts information (set names, set values) from those expressions. Other functions perform various other checks if possibly numeric (even if all numbers reside in a character vector) and coerce to numeric, or check if the numbers are whole. It also offers, among others, a highly flexible recoding function.
Author: Adrian Dusa [aut, cre, cph]
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

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Package sparklyr updated to version 1.0.3 with previous version 1.0.2 dated 2019-07-04

Title: R Interface to Apache Spark
Description: R interface to Apache Spark, a fast and general engine for big data processing, see <http://spark.apache.org>. This package supports connecting to local and remote Apache Spark clusters, provides a 'dplyr' compatible back-end, and provides an interface to Spark's built-in machine learning algorithms.
Author: Javier Luraschi [aut, cre], Kevin Kuo [aut] (<https://orcid.org/0000-0001-7803-7901>), Kevin Ushey [aut], JJ Allaire [aut], Samuel Macedo [ctb], RStudio [cph], The Apache Software Foundation [aut, cph]
Maintainer: Javier Luraschi <javier@rstudio.com>

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Package txtq updated to version 0.1.6 with previous version 0.1.5 dated 2019-08-19

Title: A Small Message Queue for Parallel Processes
Description: This queue is a data structure that lets parallel processes send and receive messages, and it can help coordinate the work of complicated parallel tasks. Processes can push new messages to the queue, pop old messages, and obtain a log of all the messages ever pushed. File locking preserves the integrity of the data even when multiple processes access the queue simultaneously.
Author: William Michael Landau [aut, cre] (<https://orcid.org/0000-0003-1878-3253>), Ian E. Fellows [ctb], Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>

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Package MESS updated to version 0.5.6 with previous version 0.5.5 dated 2019-01-14

Title: Miscellaneous Esoteric Statistical Scripts
Description: A mixed collection of useful and semi-useful diverse statistical functions, some of which may even be referenced in The R Primer book.
Author: Claus Thorn Ekstrøm [aut, cre]
Maintainer: Claus Thorn Ekstrøm <claus@rprimer.dk>

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