Fri, 17 Aug 2018

Package prc updated to version 2018.8-17 with previous version 2018.1-31 dated 2018-01-31

Title: Paired Response Curve
Description: Estimation, prediction and testing for analyzing serial dilution assay data (Fong and Yu 2015 <DOI:10.1080/19466315.2015.1093019>) using paired response curve, which is a model of the nonlinear functional relationship between experimental outcomes measured at two different dilutions.
Author: Youyi Fong
Maintainer: Youyi Fong <youyifong@gmail.com>

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Package lme4 updated to version 1.1-18-1 with previous version 1.1-17 dated 2018-04-03

Title: Linear Mixed-Effects Models using 'Eigen' and S4
Description: Fit linear and generalized linear mixed-effects models. The models and their components are represented using S4 classes and methods. The core computational algorithms are implemented using the 'Eigen' C++ library for numerical linear algebra and 'RcppEigen' "glue".
Author: Douglas Bates [aut], Martin Maechler [aut], Ben Bolker [aut, cre], Steven Walker [aut], Rune Haubo Bojesen Christensen [ctb], Henrik Singmann [ctb], Bin Dai [ctb], Fabian Scheipl [ctb], Gabor Grothendieck [ctb], Peter Green [ctb]
Maintainer: Ben Bolker <bbolker+lme4@gmail.com>

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Package randomForestSRC updated to version 2.7.0 with previous version 2.6.1 dated 2018-05-18

Title: Random Forests for Survival, Regression, and Classification (RF-SRC)
Description: Fast OpenMP parallel processing for Breiman's random forests for survival, competing risks, regression and classification based on Ishwaran and Kogalur's popular random survival forests (RSF) package. Handles missing data and now includes multivariate, unsupervised forests and quantile regression. New fast interface using subsampling.
Author: Hemant Ishwaran <hemant.ishwaran@gmail.com>, Udaya B. Kogalur <ubk@kogalur.com>
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

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Package pathfindR updated to version 1.2.1 with previous version 1.2.0 dated 2018-06-10

Title: Pathway Enrichment Analysis Utilizing Active Subnetworks
Description: Pathway enrichment analysis enables researchers to uncover mechanisms underlying the phenotype. pathfindR is a tool for pathway enrichment analysis utilizing active subnetworks. It identifies active subnetworks in a protein-protein interaction network using user-provided a list of genes. It performs pathway enrichment analyses on the identified subnetworks. pathfindR also offers functionalities to cluster enriched pathways and identify representative pathways and to score the pathways per sample. The method is described in detail in Ulgen E, Ozisik O, Sezerman OU. 2018. pathfindR: An R Package for Pathway Enrichment Analysis Utilizing Active Subnetworks. bioRxiv. <doi:10.1101/272450>.
Author: Ege Ulgen, Ozan Ozisik
Maintainer: Ege Ulgen <egeulgen@gmail.com>

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New package optimStrat with initial version 1.0
Package: optimStrat
Type: Package
Title: Choosing the Sample Strategy
Version: 1.0
Date: 2018-07-31
Author: Edgar Bueno <edgar.bueno@stat.su.se>
Maintainer: Edgar Bueno <edgar.bueno@stat.su.se>
Depends: shiny
Description: A package intended to assist in the choice of the sample strategy to implement in a survey. It compares five strategies having into account the information available in an auxiliary variable and two superpopulation models, called working and true models.
License: GPL-2
NeedsCompilation: no
Packaged: 2018-08-17 14:51:55 UTC; edgar
Repository: CRAN
Date/Publication: 2018-08-17 23:00:03 UTC

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Package metacom updated to version 1.5.1 with previous version 1.5.0 dated 2018-01-20

Title: Analysis of the 'Elements of Metacommunity Structure'
Description: Functions to analyze coherence, boundary clumping, and turnover following the pattern-based metacommunity analysis of Leibold and Mikkelson 2002 <doi:10.1034/j.1600-0706.2002.970210.x>. The package also includes functions to visualize ecological networks, and to calculate modularity as a replacement to boundary clumping.
Author: Tad Dallas [aut, cre], Tom Pulliam [ctb]
Maintainer: Tad Dallas <tad.a.dallas@gmail.com>

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Package airr updated to version 1.2.0 with previous version 1.1.0 dated 2018-05-06

Title: AIRR Data Representation Reference Library
Description: Schema definitions and read, write and validation tools for data formatted in accordance with the AIRR Data Representation schemas defined by the AIRR Community <http://docs.airr-community.org>.
Author: Jason Vander Heiden [aut, cre], Susanna Marquez [aut], AIRR Community [cph]
Maintainer: Jason Vander Heiden <jason.vanderheiden@yale.edu>

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Package permubiome updated to version 1.2 with previous version 1.1 dated 2016-03-22

Title: A Permutation Based Test for Biomarker Discovery in Microbiome Data
Description: The permubiome R package was created to perform a permutation-based non-parametric analysis on microbiome data for biomarker discovery aims. This test executes thousands of comparisons in a pairwise manner, after a random shuffling of data into the different groups of study with prior selection of the microbiome features with the largest variation among groups. Previous to the permutation test itself, data can be normalized according to different methods proposed to handle microbiome data ('proportions', 'anders', and 'paulson'). The median-based differences between groups resulting from the multiple simulations are fitted to a normal distribution with the aim to calculate their significance. A multiple testing correction based on Benjamini-Hochberg method (fdr) is finally applied to extract the differentially presented features between groups of your dataset. LATEST UPDATES: v1.1 and olders incorporates function to parse BIOM-like format; v1.2 and olders incorporates "optimize" function to maximize evaluation of features with largest inter-class variation.
Author: Alfonso Benitez-Paez
Maintainer: Alfonso Benitez-Paez <abenitez@iata.csic.es>

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Package DataPackageR updated to version 0.15.2 with previous version 0.15.1 dated 2018-08-16

Title: Construct Reproducible Analytic Data Sets as R Packages
Description: A framework to help construct R data packages in a reproducible manner. Potentially time consuming processing of raw data sets into analysis ready data sets is done in a reproducible manner and decoupled from the usual R CMD build process so that data sets can be processed into R objects in the data package and the data package can then be shared, built, and installed by others without the need to repeat computationally costly data processing. The package maintains data provenance by turning the data processing scripts into package vignettes, as well as enforcing documentation and version checking of included data objects. Data packages can be version controlled in github, and used to share data for manuscripts, collaboration and general reproducibility.
Author: Greg Finak [aut, cre, cph], Paul Obrecht [ctb], Kara Woo [rev] (Kara reviewed the package for ropensci, see <https://github.com/ropensci/onboarding/issues/230>), William Landau [rev] (William reviewed the package for ropensci, see <https://github.com/ropensci/onboarding/issues/230>)
Maintainer: Greg Finak <gfinak@fredhutch.org>

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Package covTestR updated to version 0.1.4 with previous version 0.1.3 dated 2018-01-30

Title: Covariance Matrix Tests
Description: Testing functions for Covariance Matrices. These tests include high-dimension homogeneity of covariance matrix testing described by Schott (2007) <doi:10.1016/j.csda.2007.03.004> and high-dimensional one-sample tests of covariance matrix structure described by Fisher, et al. (2010) <doi:10.1016/j.jmva.2010.07.004>. Covariance matrix tests use C++ to speed performance and allow larger data sets.
Author: Ben Barnard [aut, cre], Dean Young [aut]
Maintainer: Ben Barnard <ben_barnard@outlook.com>

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Package BLPestimatoR updated to version 0.2.4 with previous version 0.2.3 dated 2018-08-16

Title: Performs a BLP Demand Estimation
Description: Provides the estimation algorithm to perform the demand estimation described in Berry, Levinsohn and Pakes (1995) <DOI:10.2307/2171802> . The routine uses analytic gradients and offers a large number of implemented integration methods and optimization routines.
Author: Daniel Brunner (aut), Constantin Weiser (ctr), Andre Romahn (ctr)
Maintainer: Daniel Brunner <daniel.brunner@hhu.de>

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Package SimRVPedigree updated to version 0.2.0 with previous version 0.1.0 dated 2017-12-21

Title: Simulate Pedigrees Ascertained for a Rare Disease
Description: Routines to simulate and manipulate pedigrees ascertained to contain multiple family members affected by a rare disease. Christina Nieuwoudt, Samantha J Jones, Angela Brooks-Wilson, and Jinko Graham (2017) <doi:10.1101/234153>.
Author: Christina Nieuwoudt [aut, cre], Jinko Graham [aut]
Maintainer: Christina Nieuwoudt <cnieuwou@sfu.ca>

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 tests/testthat/test_find_mcra.R      |only
 tests/testthat/test_reassign_gen.R   |  110 ++++++++++++-----
 tests/testthat/test_sim_RVped.R      |   21 +++
 tests/testthat/test_sim_life.R       |   23 ++-
 vignettes/SimRVPedigree.Rmd          |   19 +--
 25 files changed, 615 insertions(+), 166 deletions(-)

More information about SimRVPedigree at CRAN
Permanent link

Package ncodeR updated to version 0.1.1 with previous version 0.1.0 dated 2018-06-19

Title: Techniques for Automated Classifiers
Description: A set of techniques that can be used to develop, validate, and implement automated classifiers. A powerful tool for transforming raw data into meaningful information, 'ncodeR' (Shaffer, D. W. (2017) Quantitative Ethnography. ISBN: 0578191687) is designed specifically for working with big data: large document collections, logfiles, and other text data.
Author: Cody L Marquart [aut, cre], Zachari Swiecki [aut], Brendan Eagan [aut], David Williamson Shaffer [aut]
Maintainer: Cody L Marquart <cody.marquart@wisc.edu>

Diff between ncodeR versions 0.1.0 dated 2018-06-19 and 0.1.1 dated 2018-08-17

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 ncodeR-0.1.1/ncodeR/R/resolve.R        |    8 ++---
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More information about ncodeR at CRAN
Permanent link

Package jsonstat updated to version 0.0.2 with previous version 0.0.1 dated 2018-08-02

Title: Interface to 'JSON-stat'
Description: Interface to 'JSON-stat' <https://json-stat.org/>, a simple lightweight 'JSON' format for data dissemination.
Author: Kim Seonghyun [aut, cre]
Maintainer: Kim Seonghyun <zedoul@gmail.com>

Diff between jsonstat versions 0.0.1 dated 2018-08-02 and 0.0.2 dated 2018-08-17

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More information about jsonstat at CRAN
Permanent link

Package emplik updated to version 1.0-4.3 with previous version 1.0-3.1 dated 2018-08-05

Title: Empirical Likelihood Ratio for Censored/Truncated Data
Description: Empirical likelihood ratio tests for means/quantiles/hazards from possibly censored and/or truncated data. Now does regression too. This version contains some C code.
Author: Mai Zhou. (Art Owen for el.test(). Yifan Yang for C code.)
Maintainer: Mai Zhou <mai@ms.uky.edu>

Diff between emplik versions 1.0-3.1 dated 2018-08-05 and 1.0-4.3 dated 2018-08-17

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 14 files changed, 135 insertions(+), 62 deletions(-)

More information about emplik at CRAN
Permanent link

Package rhli updated to version 0.0.2 with previous version 0.0.1 dated 2018-07-18

Title: An R Implementation of the FIS MarketMap C-Toolkit
Description: Complete access from 'R' to the FIS 'MarketMap C-Toolkit' ('FAME C-HLI'). 'FAME' is a fully integrated software and database management system from FIS that provides the following capabilities: Time series and cross-sectional data management; Financial calculation, data analysis, econometrics, and forecasting; Table generation and detailed multicolor, presentation-quality report writing; Multicolor, presentation-quality graphics; "What-if" analysis; Application development and structured programming; Data transfer to and from other applications; Tools for building customized graphical user interfaces.
Author: Kevin Keane [aut, cre], Qoma LLC [cph]
Maintainer: Kevin Keane <krkeane@qoma.io>

Diff between rhli versions 0.0.1 dated 2018-07-18 and 0.0.2 dated 2018-08-17

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Package lpirfs updated to version 0.1.2 with previous version 0.1.1 dated 2018-07-11

Title: Local Projections Impulse Response Functions
Description: Contains functions to estimate linear and nonlinear impulse responses based on local projections by JordĂ  (2005) <doi:10.1257/0002828053828518>. Nonlinear impulse responses are estimated for two regimes based on a transition function as used in Auerbach and Gorodnichenko (2012) <doi:10.1257/pol.4.2.1>.
Author: Philipp AdÀmmer [aut, cre] (<https://orcid.org/0000-0003-3770-0097>), James P. LeSage [ctb], Mehmet. Balcilar [ctb]
Maintainer: Philipp AdÀmmer <adaemmer@hsu-hh.de>

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Package IRISMustangMetrics updated to version 2.1.1 with previous version 2.1.0 dated 2018-03-14

Title: Statistics and Metrics for Seismic Data
Description: Classes and functions for metrics calculation as part of the 'IRIS DMC MUSTANG' project. The functionality in this package builds upon the base classes of the 'IRISSeismic' package. Metrics include basic statistics as well as higher level 'health' metrics that can help identify problematic seismometers.
Author: Jonathan Callahan [aut], Rob Casey [aut], Mary Templeton [aut], Gillian Sharer [aut, cre]
Maintainer: Gillian Sharer <gillian@iris.washington.edu>

Diff between IRISMustangMetrics versions 2.1.0 dated 2018-03-14 and 2.1.1 dated 2018-08-17

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Permanent link

Package DLMtool updated to version 5.2.2 with previous version 5.2.1 dated 2018-07-13

Title: Data-Limited Methods Toolkit
Description: Development, simulation testing, and implementation of management procedures for data-limited fisheries (see Carruthers et al (2014) <doi:10.1016/j.fishres.2013.12.014>).
Author: Tom Carruthers [aut, cre], Adrian Hordyk [aut], M. Bryan [ctb], HF. Geremont [ctb], C. Grandin [ctb], W. Harford [ctb], Q. Huynh [ctb], C. Walters [ctb]
Maintainer: Tom Carruthers <t.carruthers@fisheries.ubc.ca>

Diff between DLMtool versions 5.2.1 dated 2018-07-13 and 5.2.2 dated 2018-08-17

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Package kohonen updated to version 3.0.6 with previous version 3.0.5 dated 2018-05-25

Title: Supervised and Unsupervised Self-Organising Maps
Description: Functions to train self-organising maps (SOMs). Also interrogation of the maps and prediction using trained maps are supported. The name of the package refers to Teuvo Kohonen, the inventor of the SOM.
Author: Ron Wehrens and Johannes Kruisselbrink
Maintainer: Ron Wehrens <ron.wehrens@gmail.com>

Diff between kohonen versions 3.0.5 dated 2018-05-25 and 3.0.6 dated 2018-08-17

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More information about kohonen at CRAN
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Package rpostgis updated to version 1.4.1 with previous version 1.4.0 dated 2017-12-10

Title: R Interface to a 'PostGIS' Database
Description: Provides an interface between R and 'PostGIS'-enabled 'PostgreSQL' databases to transparently transfer spatial data. Both vector (points, lines, polygons) and raster data are supported in read and write modes. Also provides convenience functions to execute common procedures in 'PostgreSQL/PostGIS'.
Author: Mathieu Basille [aut], David Bucklin [aut, cre]
Maintainer: David Bucklin <david.bucklin@gmail.com>

Diff between rpostgis versions 1.4.0 dated 2017-12-10 and 1.4.1 dated 2018-08-17

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More information about rpostgis at CRAN
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Package GPrank updated to version 0.1.4 with previous version 0.1.3 dated 2018-06-18

Title: Gaussian Process Ranking of Multiple Time Series
Description: Implements a Gaussian process (GP)-based ranking method which can be used to rank multiple time series according to their temporal activity levels. An example is the case when expression levels of all genes are measured over a time course and the main concern is to identify the most active genes, i.e. genes which show significant non-random variation in their expression levels. This is achieved by computing Bayes factors for each time series by comparing the marginal likelihoods under time-dependent and time-independent GP models. Additional variance information from pre-processing of the observations is incorporated into the GP models, which makes the ranking more robust against model overfitting. The package supports exporting the results to 'tigreBrowser' for visualisation, filtering or ranking.
Author: Hande Topa [aut, cre], Antti Honkela [aut]
Maintainer: Hande Topa <hande.topa@helsinki.fi>

Diff between GPrank versions 0.1.3 dated 2018-06-18 and 0.1.4 dated 2018-08-17

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Package muHVT updated to version 0.2.1 with previous version 0.2.0 dated 2018-07-09

Title: Constructing Hierarchical Voronoi Tessellations and Overlay Heatmap for Data Analysis
Description: Constructing hierarchical Voronoi tessellations for a given data set and overlay heatmap for variables at various levels of the tessellations for in-depth data analysis. See <https://en.wikipedia.org/wiki/Voronoi_diagram> for more information. Credits to Mu Sigma for their continuous support throughout the development of the package.
Author: Meet Dave [aut, cre], Zubin Dowlaty [aut], Avinash Joshi [aut]
Maintainer: Meet Dave <meetdave06@gmail.com>

Diff between muHVT versions 0.2.0 dated 2018-07-09 and 0.2.1 dated 2018-08-17

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New package bigstatsr with initial version 0.6.2
Encoding: UTF-8
Package: bigstatsr
Type: Package
Title: Statistical Tools for Filebacked Big Matrices
Version: 0.6.2
Date: 2018-08-13
Authors@R: c( person("Florian", "Privé", email = "florian.prive.21@gmail.com", role = c("aut", "cre")), person("Michael", "Blum", email = "michael.blum@univ-grenoble-alpes.fr", role = "ths"), person("Hugues", "Aschard", email = "hugues.aschard@pasteur.fr", role = "ths"))
Description: Easy-to-use, efficient, flexible and scalable statistical tools. Package bigstatsr provides and uses Filebacked Big Matrices via memory-mapping. It provides for instance matrix operations, Principal Component Analysis, sparse linear supervised models, utility functions and more <doi:10.1093/bioinformatics/bty185>.
License: GPL-3
Language: en-US
LazyData: TRUE
ByteCompile: TRUE
Depends: R (>= 3.3.0)
Imports: bigreadr (>= 0.1.3), cowplot, doParallel, foreach, ggplot2 (>= 3.0.0), graphics, methods, parallel, Rcpp, RSpectra, stats, utils
LinkingTo: BH, Rcpp, RcppArmadillo
Suggests: biglasso, bigmemory (>= 4.5.33), covr, glmnet, grid, ModelMetrics, RcppEigen, RhpcBLASctl, spelling (>= 1.2), testthat
RoxygenNote: 6.1.0
URL: https://privefl.github.io/bigstatsr
BugReports: https://github.com/privefl/bigstatsr/issues
Collate: 'AUC.R' 'FBM-attach.R' 'crochet.R' 'FBM.R' 'FBM-code256.R' 'FBM-copy.R' 'RcppExports.R' 'SVD.R' 'apply-parallelize.R' 'biglasso.R' 'bigstatsr.R' 'colstats.R' 'counts.R' 'crossprodSelf.R' 'mult.R' 'plot.R' 'predict.R' 'randomSVD.R' 'read.R' 'scaling.R' 'tcrossprodSelf.R' 'transpose.R' 'univLinReg.R' 'univLogReg.R' 'utils-assert.R' 'utils.R' 'zzz.R'
NeedsCompilation: yes
Packaged: 2018-08-16 18:14:51 UTC; privef
Author: Florian Privé [aut, cre], Michael Blum [ths], Hugues Aschard [ths]
Maintainer: Florian Privé <florian.prive.21@gmail.com>
Repository: CRAN
Date/Publication: 2018-08-17 13:10:05 UTC

More information about bigstatsr at CRAN
Permanent link

Package iml updated to version 0.6.0 with previous version 0.5.1 dated 2018-05-15

Title: Interpretable Machine Learning
Description: Interpretability methods to analyze the behavior and predictions of any machine learning model. Implemented methods are: Feature importance described by Fisher et al. (2018) <arXiv:1801.01489>, partial dependence plots described by Friedman (2001) <http://www.jstor.org/stable/2699986>, individual conditional expectation ('ice') plots described by Goldstein et al. (2013) <doi:10.1080/10618600.2014.907095>, local models (variant of 'lime') described by Ribeiro et. al (2016) <arXiv:1602.04938>, the Shapley Value described by Strumbelj et. al (2014) <doi:10.1007/s10115-013-0679-x>, feature interactions described by Friedman et. al <doi:10.1214/07-AOAS148> and tree surrogate models.
Author: Christoph Molnar [aut, cre]
Maintainer: Christoph Molnar <christoph.molnar@gmail.com>

Diff between iml versions 0.5.1 dated 2018-05-15 and 0.6.0 dated 2018-08-17

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Package hhi updated to version 1.2.0 with previous version 1.1.0 dated 2018-04-13

Title: Calculate and Visualize the Herfindahl-Hirschman Index
Description: Based on the aggregated shares retained by individual firms or actors within a market or space, the Herfindahl-Hirschman Index (HHI) measures the level of concentration in a space. This package allows for intuitive and straightforward computation of HHI scores, requiring placement of objects of interest directly into the function. The package also includes a plot function for quick visual display of an HHI time series using any measure of time (year, quarter, month, etc.). For usage, please cite the Journal of Open Source Software paper associated with the package: Waggoner, Philip D. (2018) <doi:10.21105/joss.00828>.
Author: Philip D. Waggoner <pdwaggoner@wm.edu>
Maintainer: Philip D. Waggoner <pdwaggoner@wm.edu>

Diff between hhi versions 1.1.0 dated 2018-04-13 and 1.2.0 dated 2018-08-17

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Package ergm.ego updated to version 0.4.0 with previous version 0.3.0 dated 2016-03-27

Title: Fit, Simulate and Diagnose Exponential-Family Random Graph Models to Egocentrically Sampled Network Data
Description: Utilities for managing egocentrically sampled network data and a wrapper around the 'ergm' package to facilitate ERGM inference and simulation from such data.
Author: Pavel N. Krivitsky [aut, cre] (<https://orcid.org/0000-0002-9101-3362>), Steven M. Goodreau [ctb], Martina Morris [ctb], Kirk Li [ctb], Emily N. Beylerian [ctb], MichaƂ Bojanowski [ctb]
Maintainer: Pavel N. Krivitsky <pavel@uow.edu.au>

Diff between ergm.ego versions 0.3.0 dated 2016-03-27 and 0.4.0 dated 2018-08-17

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Permanent link

Package sandwich updated to version 2.5-0 with previous version 2.4-0 dated 2017-07-26

Title: Robust Covariance Matrix Estimators
Description: Model-robust standard error estimators for cross-sectional, time series, clustered, panel, and longitudinal data.
Author: Achim Zeileis [aut, cre] (<https://orcid.org/0000-0003-0918-3766>), Thomas Lumley [aut], Susanne Berger [ctb], Nathaniel Graham [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between sandwich versions 2.4-0 dated 2017-07-26 and 2.5-0 dated 2018-08-17

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Package haploR updated to version 2.0.6 with previous version 2.0.5 dated 2018-07-17

Title: Query 'HaploReg', 'RegulomeDB', 'LDlink'
Description: A set of utilities for querying 'HaploReg' <http://archive.broadinstitute.org/mammals/haploreg/haploreg.php>, 'RegulomeDB' <http://www.regulomedb.org>, and LDlink <https://analysistools.nci.nih.gov/LDlink> web-based tools. The package connects to 'HaploReg', 'RegulomeDB' and 'LDlink', searches and downloads results, without opening web pages, directly from R environment. Results are stored in a data frame that can be directly used in various kinds of downstream analyses.
Author: Ilya Y. Zhbannikov [aut, cre], Konstantin G. Arbeev [aut], Anatoliy I. Yashin [aut]
Maintainer: Ilya Y. Zhbannikov <ilya.zhbannikov@duke.edu>

Diff between haploR versions 2.0.5 dated 2018-07-17 and 2.0.6 dated 2018-08-17

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Permanent link

New package MSEtool with initial version 1.0.0
Package: MSEtool
Type: Package
Title: Management Strategy Evaluation Toolkit
Version: 1.0.0
Authors@R: c(person("Quang", "Huynh", email = "q.huynh@oceans.ubc.ca", role = "aut"), person("Tom", "Carruthers", email = "t.carruthers@oceans.ubc.ca", role = c("aut", "cre")), person("Adrian", "Hordyk", email = "a.hordyk@oceans.ubc.ca", role = "aut"), person("Chris", "Grandin", rol = "ctb", comment = "iSCAM functions"))
Date: 2018-08-13
Maintainer: Tom Carruthers <t.carruthers@oceans.ubc.ca>
Description: Simulation tools for management strategy evaluation are provided for the 'DLMtool' operating model to inform data-rich fisheries. 'MSEtool' provides complementary assessment models of varying complexity with standardized reporting, diagnostic tools for evaluating assessment models within closed-loop simulation, and helper functions for building more complex operating models and management procedures.
License: GPL-3
Depends: R (>= 3.3.0), DLMtool (>= 5.2.0)
Imports: MASS, TMB, coda, corpcor, gplots, grDevices, graphics, methods, mvtnorm, pryr, r4ss (<= 1.24.0), reshape2, snowfall, stats, utils
LinkingTo: TMB, RcppEigen
LazyData: yes
LazyLoad: yes
RoxygenNote: 6.0.1
Suggests: knitr, testthat
VignetteBuilder: knitr
URL: http://www.datalimitedtoolkit.org
BugReports: https://github.com/tcarruth/MSEtool/issues
NeedsCompilation: yes
Packaged: 2018-08-13 23:38:07 UTC; qhuynh
Author: Quang Huynh [aut], Tom Carruthers [aut, cre], Adrian Hordyk [aut], Chris Grandin [ctb] (iSCAM functions)
Repository: CRAN
Date/Publication: 2018-08-17 11:00:02 UTC

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New package VarBundle with initial version 0.3.0
Package: VarBundle
Type: Package
Title: Read-Only Variable Bundles
Version: 0.3.0
Author: Brandon C. Loudermilk
Maintainer: Brandon C. Loudermilk <b.c.loudermilk@gmail.com>
Description: Easily create list-like structures with constant, read-only variables. Combines the flexibility of lists with read-only fields. Supports defensive programming by throwing errors on field assignment, helping mitigate the introduction of logical runtime bugs.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Depends: R (>= 3.5.0)
Imports: R6 (>= 2.2.2), glue (>= 1.3.0), tibble (>= 1.4.2), magrittr (>= 1.5), dplyr (>= 0.7.6), stringr (>= 1.3.1), crayon (>= 1.3.4)
Suggests: testthat (>= 2.0.0), purrr (>= 0.2.5), knitr (>= 1.20), rmarkdown (>= 1.10), readr (>= 1.1.1)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-08-16 13:27:18 UTC; L743724
Repository: CRAN
Date/Publication: 2018-08-17 08:40:10 UTC

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New package UCSCXenaTools with initial version 0.2.1
Package: UCSCXenaTools
Title: Download and Explore Datasets from UCSC Xena Data Hubs
Version: 0.2.1
Authors@R: c(person("Shixiang", "Wang", email = "w_shixiang@163.com", role = c("aut", "cre")), person("Martin", "Morgan", role="aut"))
Maintainer: Shixiang Wang <w_shixiang@163.com>
URL: https://github.com/ShixiangWang/UCSCXenaTools
BugReports: https://github.com/ShixiangWang/UCSCXenaTools/issues
Description: Download and explore datasets from UCSC Xena data hubs, which are a collection of UCSC-hosted public databases such as TCGA, ICGC, TARGET, GTEx, CCLE, and others. Databases are normalized so they can be combined, linked, filtered, explored and downloaded. This package is based on 'XenaR' package.
Depends: R (>= 2.10)
Imports: httr, readr, methods, utils
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, prettydoc
VignetteBuilder: knitr
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2018-08-17 01:57:37 UTC; wangshx
Author: Shixiang Wang [aut, cre], Martin Morgan [aut]
Repository: CRAN
Date/Publication: 2018-08-17 09:20:09 UTC

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New package tsmp with initial version 0.2.12
Package: tsmp
Type: Package
Title: Time Series with Matrix Profile
Version: 0.2.12
Authors@R: c( person("Francisco", "Bischoff", email = "fbischoff@med.up.pt", role = c("aut", "cre")), person("Michael", "Yeh", email = "myeh003@ucr.edu", role = c("res", "ccp", "ctb")) )
Maintainer: Francisco Bischoff <fbischoff@med.up.pt>
Description: A toolkit implementing the Matrix Profile concept that was created by CS-UCR <http://www.cs.ucr.edu/~eamonn/MatrixProfile.html>.
License: MIT + file LICENSE
URL: https://github.com/franzbischoff/tsmp
BugReports: https://github.com/franzbischoff/tsmp/issues
Depends: R (>= 2.10), beepr, doSNOW, parallel, foreach
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
NeedsCompilation: no
Suggests: testthat
Packaged: 2018-08-14 10:39:55 UTC; Franz
Author: Francisco Bischoff [aut, cre], Michael Yeh [res, ccp, ctb]
Repository: CRAN
Date/Publication: 2018-08-17 09:20:03 UTC

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New package rcrtan with initial version 0.1.0
Package: rcrtan
Type: Package
Title: Criterion-Referenced Test Analysis
Version: 0.1.0
Author: Geoffrey T. LaFlair
Maintainer: Geoff LaFlair <gtlaflair@gmail.com>
Description: Contains methods for criterion-referenced test analyses as described by Brown & Hudson (2002) in Criterion-referenced Language Testing (ISBN: 9780521000833). This includes cut-score item discrimination analyses and measures of dependability.
URL: https://github.com/gtlaflair/rcrtan
BugReports: https://github.com/gtlaflair/rcrtan/issues
Depends: R (>= 2.10)
License: GPL-3
LazyData: TRUE
Imports: dplyr, magrittr, purrrlyr, stats, tibble, tidyr
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2018-08-16 19:31:08 UTC; geoff
Repository: CRAN
Date/Publication: 2018-08-17 08:50:03 UTC

More information about rcrtan at CRAN
Permanent link

Package rattle updated to version 5.2.0 with previous version 5.1.0 dated 2017-09-05

Title: Graphical User Interface for Data Science in R
Description: The R Analytic Tool To Learn Easily (Rattle) provides a collection of utilities functions for the data scientist. A Gnome (RGtk2) based graphical interface is included with the aim to provide a simple and intuitive introduction to R for data science, allowing a user to quickly load data from a CSV file (or via ODBC), transform and explore the data, build and evaluate models, and export models as PMML (predictive modelling markup language) or as scores. A key aspect of the GUI is that all R commands are logged and commented through the log tab. This can be saved as a standalone R script file and as an aid for the user to learn R or to copy-and-paste directly into R itself.
Author: Graham Williams [aut, cph, cre], Mark Vere Culp [cph], Ed Cox [ctb], Anthony Nolan [ctb], Denis White [cph], Daniele Medri [ctb], Akbar Waljee [ctb] (OOB AUC for Random Forest), Brian Ripley [cph] (print.summary.nnet), Jose Magana [ctb] (ggpairs plots), Surendra Tipparaju [ctb] (initial RevoScaleR/XDF), Durga Prasad Chappidi [ctb] (initial RevoScaleR/XDF), Dinesh Manyam Venkata [ctb] (initial RevoScaleR/XDF), Mrinal Chakraborty [ctb] (initial RevoScaleR/XDF), Fang Zhou [ctb] (initial xgboost), Cameron Chisholm [ctb] (risk plot on risk chart)
Maintainer: Graham Williams <Graham.Williams@togaware.com>

Diff between rattle versions 5.1.0 dated 2017-09-05 and 5.2.0 dated 2018-08-17

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Permanent link

Package pubmed.mineR updated to version 1.0.13 with previous version 1.0.12 dated 2018-04-12

Title: Text Mining of PubMed Abstracts
Description: Text mining of PubMed Abstracts (text and XML) from <http://www.ncbi.nlm.nih.gov/pubmed>.
Author: Jyoti Rani, S.Ramachandran, Ab Rauf Shah
Maintainer: S. Ramachandran <ramuigib@gmail.com>

Diff between pubmed.mineR versions 1.0.12 dated 2018-04-12 and 1.0.13 dated 2018-08-17

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Permanent link

New package pGPx with initial version 0.1.0
Package: pGPx
Type: Package
Title: Pseudo-Realizations for Gaussian Process Excursions
Version: 0.1.0
Date: 2018-08-16
Authors@R: c(person("Dario","Azzimonti",role=c("aut","cre","cph"),email= "dario.azzimonti@gmail.com"),person("Julien","Bect", role=c("ctb"),email = "julien.bect@centralesupelec.fr"),person("Pedro","Felzenszwalb",role= c("ctb","cph"),comment="Original dt code, http://cs.brown.edu/people/pfelzens/dt/index.html"))
Author: Dario Azzimonti [aut, cre, cph], Julien Bect [ctb], Pedro Felzenszwalb [ctb, cph] (Original dt code, http://cs.brown.edu/people/pfelzens/dt/index.html)
Maintainer: Dario Azzimonti <dario.azzimonti@gmail.com>
Description: Computes pseudo-realizations from the posterior distribution of a Gaussian Process (GP) with the method described in Azzimonti et al. (2016) <doi:10.1137/141000749>. The realizations are obtained from simulations of the field at few well chosen points that minimize the expected distance in measure between the true excursion set of the field and the approximate one. Also implements a R interface for (the main function of) Distance Transform of sampled Functions (<http://cs.brown.edu/people/pfelzens/dt/index.html>).
URL: https://epubs.siam.org/doi/abs/10.1137/141000749
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 0.12.13), DiceKriging, pbivnorm, KrigInv, rgenoud, randtoolbox, pracma, grDevices
Suggests: anMC, DiceDesign
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2018-08-16 13:44:00 UTC; dario
Repository: CRAN
Date/Publication: 2018-08-17 08:40:02 UTC

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Package optrdd updated to version 1.0.2 with previous version 1.0.1 dated 2018-05-31

Title: Optimized Regression Discontinuity Designs
Description: Optimized inference in regression discontinuity designs, as proposed by Imbens and Wager (2017) <arXiv:1705.01677>.
Author: Guido Imbens [aut], Stefan Wager [aut, cre]
Maintainer: Stefan Wager <swager@stanford.edu>

Diff between optrdd versions 1.0.1 dated 2018-05-31 and 1.0.2 dated 2018-08-17

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New package mstrio with initial version 10.11.0
Package: mstrio
Type: Package
Title: Interface for 'MicroStrategy' REST APIs
Version: 10.11.0
Author: Scott Rigney
Maintainer: Scott Rigney <srigney@microstrategy.com>
Description: Interface for creating data sets and extracting data through the 'MicroStrategy' REST APIs. Access the demo API at <https://demo.microstrategy.com/MicroStrategyLibrary/api-docs/index.html>.
License: Apache License 2.0 | file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.4.0)
Imports: xml2, httr (>= 1.3.1), openssl (>= 1.0.1), jsonlite (>= 1.5), methods
Suggests: knitr, rmarkdown, testthat, httptest
VignetteBuilder: knitr
RoxygenNote: 6.0.1
Collate: 'authentication.R' 'cubes.R' 'datasets.R' 'formjson.R' 'microstrategy.R' 'parsejson.R' 'projects.R' 'reports.R'
NeedsCompilation: no
Packaged: 2018-08-16 13:09:45 UTC; srigney
Repository: CRAN
Date/Publication: 2018-08-17 08:40:06 UTC

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New package matrixProfile with initial version 0.5.0
Package: matrixProfile
Type: Package
Title: Matrix Profile
Version: 0.5.0
Date: 2018-08-14
Author: Donghwan Kim
Maintainer: Donghwan Kim <donhkim9714@korea.ac.kr>
Description: A simple and the early stage package for matrix profile based on the paper of Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Furtado Silva, Abdullah Mueen, and Eamonn Keogh (2016) <DOI:10.1109/ICDM.2016.0179>. This package calculates all-pairs-similarity for a given window size for time series data.
License: GPL-3
Encoding: UTF-8
LazyData: yes
Repository: CRAN
URL: https://github.com/ainsuotain/matrixprofile
Depends: R (>= 3.0.0), graphics, stats, TTR, zoo, fftw, signal
NeedsCompilation: no
Packaged: 2018-08-17 00:46:05 UTC; David
Date/Publication: 2018-08-17 09:20:07 UTC

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New package LatticeDesign with initial version 1.0-1
Package: LatticeDesign
Version: 1.0-1
Title: Lattice-Based Space-Filling Designs
Authors@R: c(person("Xu He", role = c("aut", "cre"), email = "hexu@amss.ac.cn"))
Description: Lattice-based space-filling designs with fill or separation distance properties, including interleaved lattice-based maximin distance designs proposed in Xu He (2018) <arXiv:1807.02289v1>, (sliced) rotated sphere packing designs proposed in Xu He (2017) <doi:10.1080/01621459.2016.1222289> and Xu He (2018) <doi:10.1080/00401706.2018.1458655>, and densest packing-based maximum projections designs proposed in Xu He (2018) <arXiv:1709.02062v2>.
License: LGPL-2.1
Author: Xu He [aut, cre]
Maintainer: Xu He <hexu@amss.ac.cn>
NeedsCompilation: yes
RoxygenNote: 6.0.1
Packaged: 2018-08-17 02:11:37 UTC; Mario
Repository: CRAN
Date/Publication: 2018-08-17 09:20:13 UTC

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New package imptree with initial version 0.5.1
Package: imptree
Type: Package
Title: Classification Trees with Imprecise Probabilities
Version: 0.5.1
Date: 2018-08-16
Authors@R: person("Paul", "Fink", email = "paul.fink@stat.uni-muenchen.de", role = c("aut", "cre"))
Description: Creation of imprecise classification trees. They rely on probability estimation within each node by means of either the imprecise Dirichlet model or the nonparametric predictive inference approach. The splitting variable is selected by the strategy presented in Fink and Crossman (2013) <http://www.sipta.org/isipta13/index.php?id=paper&paper=014.html>, but also the original imprecise information gain of Abellan and Moral (2003) <doi:10.1002/int.10143> is covered.
License: GPL (>= 2)
Encoding: UTF-8
Imports: Rcpp (>= 0.12.5)
LinkingTo: Rcpp
SystemRequirements: C++11
RoxygenNote: 6.1.0
Suggests: testthat
NeedsCompilation: yes
Packaged: 2018-08-16 17:52:30 UTC; paulus
Author: Paul Fink [aut, cre]
Maintainer: Paul Fink <paul.fink@stat.uni-muenchen.de>
Repository: CRAN
Date/Publication: 2018-08-17 08:50:06 UTC

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New package HextractoR with initial version 0.4
Package: HextractoR
Type: Package
Title: Integrated Tool for Hairping Extraction of RNA Sequences
Version: 0.4
Author: Cristian Yones
Maintainer: Cristian Yones <cyones@sinc.unl.edu.ar>
Description: Simple and integrated tool that automatically extracts and folds all hairpin sequences from raw genome-wide data. It predicts the secondary structure of several overlapped segments, with longer length than the mean length of sequences of interest for the species under processing, ensuring that no one is lost nor inappropriately cut.
License: Apache License 2.0
Encoding: UTF-8
LazyData: true
Imports: seqinr, parallel, doParallel, foreach,
NeedsCompilation: no
RoxygenNote: 6.1.0
Packaged: 2018-08-16 16:13:31 UTC; cyones
Repository: CRAN
Date/Publication: 2018-08-17 08:50:13 UTC

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Package GSODR updated to version 1.2.2 with previous version 1.2.1 dated 2018-06-16

Title: Global Surface Summary of the Day (GSOD) Weather Data from R
Description: Provides automated downloading, parsing, cleaning, unit conversion and formatting of Global Surface Summary of the Day (GSOD) weather data from the from the USA National Centers for Environmental Information (NCEI) for use in R. Units are converted from from United States Customary System (USCS) units to International System of Units (SI). Stations may be individually checked for number of missing days defined by the user, where stations with too many missing observations are omitted. Only stations with valid reported latitude and longitude values are permitted in the final data. Additional useful elements, saturation vapour pressure (es), actual vapour pressure (ea) and relative humidity are calculated from the original data and included in the final data set. The resulting data include station identification information, state, country, latitude, longitude, elevation, weather observations and associated flags. Data may be automatically saved to disk. File output may be returned as a comma-separated values (CSV) or GeoPackage (GPKG) file. Additional data are included with this R package: a list of elevation values for stations between -60 and 60 degrees latitude derived from the Shuttle Radar Topography Measuring Mission (SRTM). For information on the GSOD data from NCEI, please see the GSOD readme.txt file available from, <http://www1.ncdc.noaa.gov/pub/data/gsod/readme.txt>.
Author: Adam Sparks [aut, cre] (<https://orcid.org/0000-0002-0061-8359>), Tomislav Hengl [aut] (<https://orcid.org/0000-0002-9921-5129>), Andrew Nelson [aut] (<https://orcid.org/0000-0002-7249-3778>), Hugh Parsonage [cph, ctb] (<https://orcid.org/0000-0003-4055-0835>), Bob Rudis [cph, ctb] (<https://orcid.org/0000-0001-5670-2640>), Gwenael Giboire [ctb] (Several bug reports in early versions and testing feedback), Ɓukasz Pawlik [ctb] (Reported bug in windspeed conversion calculation), Ross Darnell [ctb] (Reported bug in Windows OS versions causing GSOD data untarring to fail)
Maintainer: Adam Sparks <adamhsparks@gmail.com>

Diff between GSODR versions 1.2.1 dated 2018-06-16 and 1.2.2 dated 2018-08-17

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New package eikosograms with initial version 0.1.0
Package: eikosograms
Type: Package
Title: The Picture of Probability
Version: 0.1.0
Date: 2018-08-01
Authors@R: c(person(given = "Wayne", family = "Oldford", email = "rwoldford@uwaterloo.ca", role = c("aut", "cre")), person(given = "Erle", family = "Holgersen", email = "emholgersen@uwaterloo.ca", role = "aut"), person(given = "Ben", family = "Lafreniere", email = "ben.lafreniere@gmail.com", role = "aut"), person(given = "Tianlu", family = "Zhu", email = "t8zhu@uwaterloo.ca", role = "aut") )
Author: Wayne Oldford [aut, cre], Erle Holgersen [aut], Ben Lafreniere [aut], Tianlu Zhu [aut]
Maintainer: Wayne Oldford <rwoldford@uwaterloo.ca>
URL: https://github.com/rwoldford/eikosograms
Description: An eikosogram (ancient Greek for probability picture) divides the unit square into rectangular regions whose areas, sides, and widths, represent various probabilities associated with the values of one or more categorical variates. Rectangle areas are joint probabilities, widths are always marginal (though possibly joint margins, i.e. marginal joint distributions of two or more variates), and heights of rectangles are always conditional probabilities. Eikosograms embed the rules of probability and are useful for introducing elementary probability theory, including axioms, marginal, conditional, and joint probabilities, and their relationships (including Bayes theorem as a completely trivial consequence). They are markedly superior to Venn diagrams for this purpose, especially in distinguishing probabilistic independence, mutually exclusive events, coincident events, and associations. They also are useful for identifying and understanding conditional independence structure. As data analysis tools, eikosograms display categorical data in a manner similar to Mosaic plots, especially when only two variates are involved (the only case in which they are essentially identical, though eikosograms purposely disallow spacing between rectangles). Unlike Mosaic plots, eikosograms do not alternate axes as each new categorical variate (beyond two) is introduced. Instead, only one categorical variate, designated the "response", presents on the vertical axis and all others, designated the "conditioning" variates, appear on the horizontal. In this way, conditional probability appears only as height and marginal probabilities as widths. The eikosogram is therefore much better suited to a response model analysis (e.g. logistic model) than is a Mosaic plot. Mosaic plots are better suited to log-linear style modelling as in discrete multivariate analysis. Of course, eikosograms are also suited to discrete multivariate analysis with each variate in turn appearing as the response. This makes it better suited than Mosaic plots to discrete graphical models based on conditional independence graphs (i.e. "Bayesian Networks" or "BayesNets"). The eikosogram and its superiority to Venn diagrams in teaching probability is described in W.H. Cherry and R.W. Oldford (2003) <https://math.uwaterloo.ca/~rwoldfor/papers/eikosograms/paper.pdf>, its value in exploring conditional independence structure and relation to graphical and log-linear models is described in R.W. Oldford (2003) <https://math.uwaterloo.ca/~rwoldfor/papers/eikosograms/independence/paper.pdf>, and a number of problems, puzzles, and paradoxes that are easily explained with eikosograms are given in R.W. Oldford (2003) <https://math.uwaterloo.ca/~rwoldfor/papers/eikosograms/examples/paper.pdf>.
License: GPL-3
Depends: R (>= 3.1.0)
Imports: plyr, grid
LazyLoad: yes
LazyData: no
RoxygenNote: 6.0.1
NeedsCompilation: no
Suggests: knitr, rmarkdown, gridExtra
VignetteBuilder: knitr, rmarkdown
Packaged: 2018-08-16 17:04:14 UTC; rwoldford
Repository: CRAN
Date/Publication: 2018-08-17 08:50:10 UTC

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Package DMMF updated to version 0.5.0.2 with previous version 0.4.0.1 dated 2018-01-10

Title: Daily Based Morgan-Morgan-Finney (DMMF) Soil Erosion Model
Description: Implements the daily based Morgan-Morgan-Finney (DMMF) soil erosion model (Choi et al., 2017 <doi:10.3390/w9040278>) for estimating surface runoff and sediment budgets from a field or a catchment on a daily basis.
Author: Kwanghun Choi [aut, cre], Sebastian Arnhold [dtc, ctb], Bjoern Reineking [ths, ctb]
Maintainer: Kwanghun Choi <kwanghun.choi@yahoo.com>

Diff between DMMF versions 0.4.0.1 dated 2018-01-10 and 0.5.0.2 dated 2018-08-17

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Package BAT updated to version 1.6.0 with previous version 1.5.6 dated 2017-06-27

Title: Biodiversity Assessment Tools
Description: Includes algorithms to assess alpha and beta diversity in all their dimensions (taxon, phylogenetic and functional diversity), whether communities are completely sampled or not. It allows performing a number of analyses based on either species identities or phylogenetic/functional trees depicting species relationships.
Author: Pedro Cardoso, Francois Rigal, Jose Carlos Carvalho
Maintainer: Pedro Cardoso <pedro.cardoso@helsinki.fi>

Diff between BAT versions 1.5.6 dated 2017-06-27 and 1.6.0 dated 2018-08-17

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Package AbSim updated to version 0.2.6 with previous version 0.2.4 dated 2017-10-27

Title: Time Resolved Simulations of Antibody Repertoires
Description: Simulation methods for the evolution of antibody repertoires. The heavy and light chain variable region of both human and C57BL/6 mice can be simulated in a time-dependent fashion. Both single lineages using one set of V-, D-, and J-genes or full repertoires can be simulated. The algorithm begins with an initial V-D-J recombination event, starting the first phylogenetic tree. Upon completion, the main loop of the algorithm begins, with each iteration representing one simulated time step. Various mutation events are possible at each time step, contributing to a diverse final repertoire.
Author: Alexander Yermanos
Maintainer: Alexander Yermanos <ayermano@ethz.ch>

Diff between AbSim versions 0.2.4 dated 2017-10-27 and 0.2.6 dated 2018-08-17

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Package textutils updated to version 0.1-9 with previous version 0.1-6 dated 2016-12-16

Title: Utilities for Handling Strings and Text
Description: Utilities for handling character vectors that store human-readable text (either plain or with markup, such as HTML or LaTeX). The package provides, in particular, functions that help with the preparation of plain-text reports (e.g. for expanding and aligning strings that form the lines of such reports); the package also provides generic functions for transforming R objects to HTML and to plain text.
Author: Enrico Schumann [aut, cre] (<https://orcid.org/0000-0001-7601-6576>)
Maintainer: Enrico Schumann <es@enricoschumann.net>

Diff between textutils versions 0.1-6 dated 2016-12-16 and 0.1-9 dated 2018-08-17

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Package SqlRender updated to version 1.5.2 with previous version 1.5.0 dated 2018-05-28

Title: Rendering Parameterized SQL and Translation to Dialects
Description: A rendering tool for parameterized SQL that also translates into different SQL dialects. These dialects include 'Microsoft Sql Server', 'Oracle', 'PostgreSql', 'Amazon RedShift', 'Apache Impala', 'IBM Netezza', 'Google BigQuery', and 'Microsoft PDW'.
Author: Martijn Schuemie [aut, cre], Marc Suchard [aut]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

Diff between SqlRender versions 1.5.0 dated 2018-05-28 and 1.5.2 dated 2018-08-17

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Package JuliaCall updated to version 0.16.0 with previous version 0.15.0 dated 2018-08-01

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>

Diff between JuliaCall versions 0.15.0 dated 2018-08-01 and 0.16.0 dated 2018-08-17

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 JuliaCall-0.16.0/JuliaCall/MD5                                                                                  |   54 
 JuliaCall-0.16.0/JuliaCall/NAMESPACE                                                                            |    1 
 JuliaCall-0.16.0/JuliaCall/NEWS.md                                                                              |   22 
 JuliaCall-0.16.0/JuliaCall/R/JuliaObject.R                                                                      |   14 
 JuliaCall-0.16.0/JuliaCall/R/aaa.R                                                                              |   14 
 JuliaCall-0.16.0/JuliaCall/R/console.R                                                                          |    2 
 JuliaCall-0.16.0/JuliaCall/R/dispatch.R                                                                         |   14 
 JuliaCall-0.16.0/JuliaCall/R/interface.R                                                                        |   11 
 JuliaCall-0.16.0/JuliaCall/R/zzz.R                                                                              |   24 
 JuliaCall-0.16.0/JuliaCall/README.md                                                                            |   74 
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 JuliaCall-0.16.0/JuliaCall/inst/doc/Julia_in_RMarkdown.html                                                     |   66 
 JuliaCall-0.16.0/JuliaCall/inst/julia/JuliaObject.jl                                                            |   27 
 JuliaCall-0.16.0/JuliaCall/inst/julia/dispatch.jl                                                               |   26 
 JuliaCall-0.16.0/JuliaCall/inst/julia/display/IRjulia.jl                                                        |    2 
 JuliaCall-0.16.0/JuliaCall/inst/julia/display/RmdJulia.jl                                                       |    2 
 JuliaCall-0.16.0/JuliaCall/inst/julia/display/basic.jl                                                          |   14 
 JuliaCall-0.16.0/JuliaCall/inst/julia/incomplete_console.jl                                                     |    2 
 JuliaCall-0.16.0/JuliaCall/inst/julia/install_dependency.jl                                                     |   12 
 JuliaCall-0.16.0/JuliaCall/inst/julia/interface1.jl                                                             |    2 
 JuliaCall-0.16.0/JuliaCall/inst/julia/setup.jl                                                                  |   87 
 JuliaCall-0.16.0/JuliaCall/man/julia_setup.Rd                                                                   |    7 
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Package cdata updated to version 0.7.4 with previous version 0.7.3 dated 2018-07-20

Title: Fluid Data Transformations
Description: Supplies higher-order fluid data 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 . Based on the 'DBI' database interface.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between cdata versions 0.7.3 dated 2018-07-20 and 0.7.4 dated 2018-08-17

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