Thu, 14 Feb 2019

Package cdata updated to version 1.0.6 with previous version 1.0.5 dated 2019-01-20

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 . Works on in-memory data or on remote data using 'rquery' and 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 1.0.5 dated 2019-01-20 and 1.0.6 dated 2019-02-14

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More information about cdata at CRAN
Permanent link

Package triangle updated to version 0.12 with previous version 0.11 dated 2017-10-02

Title: Provides the Standard Distribution Functions for the Triangle Distribution
Description: Provides the "r, q, p, and d" distribution functions for the triangle distribution.
Author: Rob Carnell [aut, cre]
Maintainer: Rob Carnell <bertcarnell@gmail.com>

Diff between triangle versions 0.11 dated 2017-10-02 and 0.12 dated 2019-02-14

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More information about triangle at CRAN
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Package RandomFieldsUtils updated to version 0.5.1 with previous version 0.5 dated 2019-02-10

Title: Utilities for the Simulation and Analysis of Random Fields
Description: Various utilities are provided that might be used in spatial statistics and elsewhere. It delivers a method for solving linear equations that checks the sparsity of the matrix before any algorithm is used. Furthermore, it includes the Struve functions.
Author: Martin Schlather [aut, cre], Reinhard Furrer [ctb], Martin Kroll [ctb]
Maintainer: Martin Schlather <schlather@math.uni-mannheim.de>

Diff between RandomFieldsUtils versions 0.5 dated 2019-02-10 and 0.5.1 dated 2019-02-14

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Permanent link

Package RandomFields updated to version 3.3 with previous version 3.1.50 dated 2017-04-17

Title: Simulation and Analysis of Random Fields
Description: Methods for the inference on and the simulation of Gaussian fields are provided, as well as methods for the simulation of extreme value random fields.
Author: Martin Schlather [aut, cre], Alexander Malinowski [aut], Marco Oesting [aut], Daphne Boecker [aut], Kirstin Strokorb [aut], Sebastian Engelke [aut], Johannes Martini [aut], Felix Ballani [aut], Olga Moreva [aut], Jonas Auel[ctr], Peter Menck [ctr], Sebastian Gross [ctr], Ulrike Ober [ctb], Paulo Ribeiro [ctb], Richard Singleton [ctb], Ben Pfaff [ctb], R Core Team [ctb]
Maintainer: Martin Schlather <schlather@math.uni-mannheim.de>

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 373 files changed, 48282 insertions(+), 51036 deletions(-)

More information about RandomFields at CRAN
Permanent link

Package dplyr updated to version 0.8.0 with previous version 0.7.8 dated 2018-11-10

Title: A Grammar of Data Manipulation
Description: A fast, consistent tool for working with data frame like objects, both in memory and out of memory.
Author: Hadley Wickham [aut, cre] (<https://orcid.org/0000-0003-4757-117X>), Romain François [aut] (<https://orcid.org/0000-0002-2444-4226>), Lionel Henry [aut], Kirill Müller [aut] (<https://orcid.org/0000-0002-1416-3412>), RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between dplyr versions 0.7.8 dated 2018-11-10 and 0.8.0 dated 2019-02-14

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Permanent link

Package R.utils updated to version 2.8.0 with previous version 2.7.0 dated 2018-08-27

Title: Various Programming Utilities
Description: Utility functions useful when programming and developing R packages.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package GMCM updated to version 1.3.1 with previous version 1.3.0 dated 2018-12-15

Title: Fast Estimation of Gaussian Mixture Copula Models
Description: Unsupervised Clustering and Meta-analysis using Gaussian Mixture Copula Models.
Author: Anders Ellern Bilgrau, Martin Boegsted, Poul Svante Eriksen
Maintainer: Anders Ellern Bilgrau <anders.ellern.bilgrau@gmail.com>

Diff between GMCM versions 1.3.0 dated 2018-12-15 and 1.3.1 dated 2019-02-14

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More information about GMCM at CRAN
Permanent link

New package cranly with initial version 0.3
Package: cranly
Title: Package Directives and Collaboration Networks in CRAN
Version: 0.3
Authors@R: c(person(given = "Ioannis", family = "Kosmidis", role = c("aut", "cre"), email = "ioannis.kosmidis@warwick.ac.uk", comment = c(ORCID = "0000-0003-1556-0302")))
Description: Provides core visualisations and summaries for the CRAN package database. The package provides comprehensive methods for cleaning up and organising the information in the CRAN package database, for building package directives networks (depends, imports, suggests, enhances, linking to) and collaboration networks, producing package dependence trees, and for computing useful summaries and producing interactive visualisations from the resulting networks. The package also provides functions to coerce the networks to 'igraph' <https://CRAN.R-project.org/package=igraph> objects for further analyses and modelling.
URL: https://github.com/ikosmidis/cranly
BugReports: https://github.com/ikosmidis/cranly/issues
Depends: R (>= 3.4.0)
Imports: visNetwork, colorspace, igraph, magrittr, stringr, ggplot2, countrycode
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-02-14 17:13:18 UTC; yiannis
Author: Ioannis Kosmidis [aut, cre] (<https://orcid.org/0000-0003-1556-0302>)
Maintainer: Ioannis Kosmidis <ioannis.kosmidis@warwick.ac.uk>
Repository: CRAN
Date/Publication: 2019-02-14 21:42:14 UTC

More information about cranly at CRAN
Permanent link

Package rquery updated to version 1.3.1 with previous version 1.3.0 dated 2019-01-29

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>

Diff between rquery versions 1.3.0 dated 2019-01-29 and 1.3.1 dated 2019-02-14

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Package R6 updated to version 2.4.0 with previous version 2.3.0 dated 2018-10-04

Title: Encapsulated Classes with Reference Semantics
Description: Creates classes with reference semantics, similar to R's built-in reference classes. Compared to reference classes, R6 classes are simpler and lighter-weight, and they are not built on S4 classes so they do not require the methods package. These classes allow public and private members, and they support inheritance, even when the classes are defined in different packages.
Author: Winston Chang [aut, cre]
Maintainer: Winston Chang <winston@stdout.org>

Diff between R6 versions 2.3.0 dated 2018-10-04 and 2.4.0 dated 2019-02-14

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Package icr updated to version 0.5.9 with previous version 0.5.8 dated 2018-10-21

Title: Compute Krippendorff's Alpha
Description: Provides functions to compute and plot Krippendorff's inter-coder reliability coefficient alpha and bootstrapped uncertainty estimates (Krippendorff 2004, ISBN:0761915443). The bootstrap routines are set up to make use of parallel threads where supported.
Author: Alexander Staudt [aut, cre], Pierre L'Ecuyer [ctb] (author of the C++ RNG code)
Maintainer: Alexander Staudt <staudtlex@live.de>

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Package brglm2 updated to version 0.5.1 with previous version 0.5.0 dated 2019-02-06

Title: Bias Reduction in Generalized Linear Models
Description: Estimation and inference from generalized linear models based on various methods for bias reduction. The 'brglmFit' fitting method can achieve reduction of estimation bias by solving either the mean bias-reducing adjusted score equations in Firth (1993) <doi:10.1093/biomet/80.1.27> and Kosmidis and Firth (2009) <doi:10.1093/biomet/asp055>, or the median bias-reduction adjusted score equations in Kenne et al. (2016) <arXiv:1604.04768>, or through the direct subtraction of an estimate of the bias of the maximum likelihood estimator from the maximum likelihood estimates as in Cordeiro and McCullagh (1991) <http://www.jstor.org/stable/2345592>. Estimation in all cases takes place via a quasi Fisher scoring algorithm, and S3 methods for the construction of of confidence intervals for the reduced-bias estimates are provided. In the special case of generalized linear models for binomial and multinomial responses (both ordinal and nominal), the adjusted score approaches return estimates with improved frequentist properties, that are also always finite, even in cases where the maximum likelihood estimates are infinite (e.g. complete and quasi-complete separation). 'brglm2' also provides pre-fit and post-fit methods for detecting separation and infinite maximum likelihood estimates in binomial response generalized linear models.
Author: Ioannis Kosmidis [aut, cre] (<https://orcid.org/0000-0003-1556-0302>), Kjell Konis [ctb], Euloge Clovis Kenne Pagui [ctb], Nicola Sartori [ctb]
Maintainer: Ioannis Kosmidis <ioannis.kosmidis@warwick.ac.uk>

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Package GetDFPData updated to version 1.5 with previous version 1.4 dated 2019-01-12

Title: Reading Annual Financial Reports from Bovespa's DFP, FRE and FCA System
Description: Reads annual financial reports including assets, liabilities, dividends history, stockholder composition and much more from Bovespa's DFP, FRE and FCA systems <http://www.bmfbovespa.com.br/en_us/products/listed-equities-and-derivatives/equities/listed-companies.htm>. These are web based interfaces for all financial reports of companies traded at Bovespa. The package is specially designed for large scale data importation, keeping a tabular (long) structure for easier processing.
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>

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Package qrandom updated to version 1.1 with previous version 1.0 dated 2019-01-10

Title: True Random Numbers using the ANU Quantum Random Numbers Server
Description: The ANU Quantum Random Number Generator provided by the Australian National University generates true random numbers in real-time by measuring the quantum fluctuations of the vacuum. This package offers an interface using their API. The electromagnetic field of the vacuum exhibits random fluctuations in phase and amplitude at all frequencies. By carefully measuring these fluctuations, one is able to generate ultra-high bandwidth random numbers. The quantum Random Number Generator is based on the papers by Symul et al., (2011) <doi:10.1063/1.3597793> and Haw, et al. (2015) <doi:10.1103/PhysRevApplied.3.054004>. The package offers functions to retrieve a sequence of random integers or hexadecimals and true random samples from a normal or uniform distribution.
Author: Siegfried Köstlmeier [aut, cre] (<https://orcid.org/0000-0002-7221-6981>), Boris Steipe [ctb] (<https://orcid.org/0000-0002-1134-6758>)
Maintainer: Siegfried Köstlmeier <siegfried.koestlmeier@gmail.com>

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Package vardpoor updated to version 0.14.0 with previous version 0.12.0 dated 2018-09-20

Title: Variance Estimation for Sample Surveys by the Ultimate Cluster Method
Description: Generation of domain variables, linearization of several nonlinear population statistics (the ratio of two totals, weighted income percentile, relative median income ratio, at-risk-of-poverty rate, at-risk-of-poverty threshold, Gini coefficient, gender pay gap, the aggregate replacement ratio, the relative median income ratio, median income below at-risk-of-poverty gap, income quintile share ratio, relative median at-risk-of-poverty gap), computation of regression residuals in case of weight calibration, variance estimation of sample surveys by the ultimate cluster method (Hansen, Hurwitz and Madow,Theory, vol. I: Methods and Applications; vol. II: Theory. 1953, New York: John Wiley and Sons), variance estimation for longitudinal, cross-sectional measures and measures of change for single and multistage stage cluster sampling designs (Berger, Y. G., 2015, <doi:10.1111/rssa.12116>). Several other precision measures are derived - standard error, the coefficient of variation, the margin of error, confidence interval, design effect.
Author: Juris Breidaks [aut, cre], Martins Liberts [aut], Santa Ivanova [aut]
Maintainer: Juris Breidaks <Juris.Breidaks@csb.gov.lv>

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Package popkin updated to version 1.1.2 with previous version 1.0.5 dated 2018-01-26

Title: Estimate Kinship and FST under Arbitrary Population Structure
Description: Provides functions to estimate the kinship matrix of individuals from a large set of biallelic SNPs, and extract inbreeding coefficients and the generalized FST (Wright's fixation index). Method described in Ochoa and Storey (2016) <doi:10.1101/083923>.
Author: Alejandro Ochoa [aut, cre], John D. Storey [aut]
Maintainer: Alejandro Ochoa <alejandro.ochoa@duke.edu>

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Package EBPRS updated to version 1.1.2 with previous version 1.0.1 dated 2018-11-03

Title: Derive Polygenic Risk Score Based on Emprical Bayes Theory
Description: EB-PRS is a novel method that leverages information for effect sizes across all the markers to improve the prediction accuracy. No parameter tuning is needed in the method, and no external information is needed. This R-package provides the calculation of polygenic risk scores from the given training summary statistics and testing data. We can use EB-PRS to extract main information, estimate Empirical Bayes parameters, derive polygenic risk scores for each individual in testing data, and evaluate the PRS according to AUC and predictive r2.
Author: Shuang Song [aut, cre], Wei Jiang [aut], Lin Hou [aut] and Hongyu Zhao [aut]
Maintainer: Shuang Song <shuangsong0110@163.com>

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Package mapfuser (with last version 0.1.2) was removed from CRAN

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

2017-10-10 0.1.2

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Package monotonicity updated to version 1.2 with previous version 1.1 dated 2018-05-23

Title: Test for Monotonicity in Expected Asset Returns, Sorted by Portfolios
Description: Test for monotonicity in financial variables sorted by portfolios. It is conventional practice in empirical research to form portfolios of assets ranked by a certain sort variable. A t-test is then used to consider the mean return spread between the portfolios with the highest and lowest values of the sort variable. Yet comparing only the average returns on the top and bottom portfolios does not provide a sufficient way to test for a monotonic relation between expected returns and the sort variable. This package provides nonparametric tests for the full set of monotonic patterns by Patton, A. and Timmermann, A. (2010) <doi:10.1016/j.jfineco.2010.06.006> and compares the proposed results with extant alternatives such as t-tests, Bonferroni bounds, and multivariate inequality tests through empirical applications and simulations.
Author: Siegfried Köstlmeier [aut, cre, trl] (<https://orcid.org/0000-0002-7221-6981>)
Maintainer: Siegfried Köstlmeier <siegfried.koestlmeier@gmail.com>

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Package workflowr updated to version 1.2.0 with previous version 1.1.1 dated 2018-07-06

Title: A Framework for Reproducible and Collaborative Data Science
Description: Provides a workflow for your analysis projects by combining literate programming ('knitr' and 'rmarkdown') and version control ('Git', via 'git2r') to generate a website containing time-stamped, versioned, and documented results.
Author: John Blischak [aut, cre] (<https://orcid.org/0000-0003-2634-9879>), Peter Carbonetto [aut] (<https://orcid.org/0000-0003-1144-6780>), Matthew Stephens [aut] (<https://orcid.org/0000-0001-5397-9257>), Luke Zappia [ctb] (Instructions for hosting with GitLab), Pierre Formont [ctb] (Support for hosting with Shiny Server), Tim Trice [ctb] (Instructions for sharing common code)
Maintainer: John Blischak <jdblischak@uchicago.edu>

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Package spongebob updated to version 0.3.0 with previous version 0.2.0 dated 2019-01-24

Title: SpongeBob-Case Converter : spOngEboB-CASe CoNVertOR
Description: Convert character strings to Mocking SpongeBob case <https://knowyourmeme.com/memes/mocking-spongebob> and show them off in fun ways. coNvErt CharACtER strInGs to MOckiNG spOngEbOb caSE <https://knowyourmeme.com/memes/mocking-spongebob> aND shOw tHem OFf IN Fun WayS.
Author: Jay Qi [aut, cre]
Maintainer: Jay Qi <jayqi.opensource@gmail.com>

Diff between spongebob versions 0.2.0 dated 2019-01-24 and 0.3.0 dated 2019-02-14

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 spongebob-0.3.0/spongebob/DESCRIPTION                        |   16 +++---
 spongebob-0.3.0/spongebob/MD5                                |   18 ++++--
 spongebob-0.3.0/spongebob/NAMESPACE                          |    4 +
 spongebob-0.3.0/spongebob/NEWS.md                            |   29 ++++++++++-
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 14 files changed, 77 insertions(+), 31 deletions(-)

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Package rmytarget updated to version 2.1.3 with previous version 2.1.1 dated 2019-01-03

Title: Load Data from 'MyTarget API v2'
Description: Allows work with 'MyTarget API v2' <https://target.my.com/doc/apiv2/ru/detailed.html> and load data by ads, campaigns, agency clients and statistic from your ads account.
Author: Alexey Seleznev
Maintainer: Alexey Seleznev <selesnow@gmail.com>

Diff between rmytarget versions 2.1.1 dated 2019-01-03 and 2.1.3 dated 2019-02-14

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 man/myTarGetClientList.Rd   |    4 --
 man/myTarGetStats.Rd        |    5 --
 man/myTarRefreshToken.Rd    |    4 --
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 15 files changed, 100 insertions(+), 61 deletions(-)

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Package popEpi updated to version 0.4.6 with previous version 0.4.5 dated 2018-05-16

Title: Functions for Epidemiological Analysis using Population Data
Description: Enables computation of epidemiological statistics, including those where counts or mortality rates of the reference population are used. Currently supported: excess hazard models, rates, mean survival times, relative survival, and standardized incidence and mortality ratios (SIRs/SMRs), all of which can be easily adjusted for by covariates such as age. Fast splitting and aggregation of 'Lexis' objects (from package 'Epi') and other computations achieved using 'data.table'.
Author: Joonas Miettinen [aut, cre], Matti Rantanen [aut], Karri Seppa [ctb]
Maintainer: Joonas Miettinen <joonas.miettinen@cancer.fi>

Diff between popEpi versions 0.4.5 dated 2018-05-16 and 0.4.6 dated 2019-02-14

 DESCRIPTION                                             |   11 
 MD5                                                     |  265 -
 NAMESPACE                                               |  177 
 NEWS.md                                                 |  279 -
 R/S3_definitions.R                                      | 2946 ++++++++--------
 R/aggregating.R                                         | 1232 +++---
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 R/lifetime_function.R                                   |  564 +--
 R/ltable.R                                              |  502 +-
 R/mean_survival.R                                       | 1326 +++----
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 R/relative_poisson.R                                    | 1220 +++---
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 R/sir_utils.R                                           |  226 -
 R/splitLexisDT.R                                        |  602 +--
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 R/survival_lexis.R                                      | 1188 +++---
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 tests/testthat.R                                        |   26 
 tests/testthat/test_aggre.R                             |  454 +-
 tests/testthat/test_epi.R                               |   69 
 tests/testthat/test_expo.R                              |   96 
 tests/testthat/test_lexpand.R                           |  744 ++--
 tests/testthat/test_prevtab.R                           |   40 
 tests/testthat/test_rate.R                              |  624 +--
 tests/testthat/test_relpois_mean_curve.R                |  136 
 tests/testthat/test_sir.R                               |  882 ++--
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 tests/testthat/test_splitting_breaks.R                  |  160 
 tests/testthat/test_splitting_randomly_on_fixed_data.R  |  280 -
 tests/testthat/test_splitting_randomly_on_random_data.R |  118 
 tests/testthat/test_survmean.R                          |  604 +--
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 tests/testthat/test_survtab_relative.R                  |  396 +-
 tests/testthat/test_survtab_usage.R                     |  960 ++---
 tests/testthat/test_utils.R                             |  901 ++--
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 vignettes/sir.Rmd                                       |  318 -
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 134 files changed, 27311 insertions(+), 27016 deletions(-)

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New package mRMRe with initial version 2.0.9
Package: mRMRe
Type: Package
Title: "Parallelized Minimum Redundancy, Maximum Relevance (mRMR) Ensemble Feature Selection"
Version: 2.0.9
Date: 2019-02-13
Author: Nicolas De Jay, Simon Papillon-Cavanagh, Catharina Olsen, Gianluca Bontempi, Benjamin Haibe-Kains
Maintainer: Benjamin Haibe-Kains <benjamin.haibe.kains@utoronto.ca>
Description: "Computes mutual information matrices from continuous, categorical and survival variables, as well as feature selection with minimum redundancy, maximum relevance (mRMR) and a new ensemble mRMR technique with DOI: N De Jay et al. (2013) <doi:10.1093/bioinformatics/btt383>."
License: Artistic-2.0
Depends: R (>= 2.10), survival, igraph, methods
URL: http://www.pmgenomics.ca/bhklab/
NeedsCompilation: yes
Packaged: 2019-02-14 00:45:08 UTC; gangesh
Repository: CRAN
Date/Publication: 2019-02-14 09:20:14 UTC

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Package graphTweets updated to version 0.5.1 with previous version 0.5.0 dated 2018-08-25

Title: Visualise Twitter Interactions
Description: Allows building an edge table from data frame of tweets, also provides function to build nodes and another create a temporal graph.
Author: John Coene [aut, cre]
Maintainer: John Coene <jcoenep@gmail.com>

Diff between graphTweets versions 0.5.0 dated 2018-08-25 and 0.5.1 dated 2019-02-14

 DESCRIPTION  |   17 ++++++++---------
 MD5          |    6 +++---
 NEWS.md      |    4 ++++
 R/overhaul.R |   22 +++++++++++++---------
 4 files changed, 28 insertions(+), 21 deletions(-)

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Package BoltzMM updated to version 0.1.4 with previous version 0.1.3 dated 2019-01-10

Title: Boltzmann Machines with MM Algorithms
Description: Provides probability computation, data generation, and model estimation for fully-visible Boltzmann machines. It follows the methods described in Nguyen and Wood (2016a) <doi:10.1162/NECO_a_00813> and Nguyen and Wood (2016b) <doi:10.1109/TNNLS.2015.2425898>.
Author: Andrew Thomas Jones, Hien Duy Nguyen, and Jessica Juanita Bagnall
Maintainer: Andrew Thomas Jones <andrewthomasjones@gmail.com>

Diff between BoltzMM versions 0.1.3 dated 2019-01-10 and 0.1.4 dated 2019-02-14

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 BoltzMM-0.1.4/BoltzMM/tests/testthat/test-rfunct.R |   32 +++-
 13 files changed, 176 insertions(+), 81 deletions(-)

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Package ddeploy (with last version 1.0.4) was removed from CRAN

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

2015-06-28 1.0.4
2015-05-08 1.0.2

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Package SQRL updated to version 0.6.2 with previous version 0.6.1 dated 2019-02-01

Title: Database Query Interfaces
Description: Facilitates interaction with 'ODBC' data sources.
Author: Mike Lee
Maintainer: Mike Lee <random.deviate@gmail.com>

Diff between SQRL versions 0.6.1 dated 2019-02-01 and 0.6.2 dated 2019-02-14

 DESCRIPTION         |    8 ++++----
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 R/SQRL.R            |   51 ++++++++++++++++++---------------------------------
 man/SQRL-package.Rd |    9 +--------
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 man/sqrlParams.Rd   |   22 +++++++++++-----------
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 7 files changed, 49 insertions(+), 66 deletions(-)

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Package AzureContainers updated to version 1.0.1 with previous version 1.0.0 dated 2018-12-25

Title: Interface to 'Container Instances', 'Docker Registry' and 'Kubernetes' in 'Azure'
Description: An interface to container functionality in Microsoft's 'Azure' cloud: <https://azure.microsoft.com/en-us/overview/containers/>. Manage 'Azure Container Instance' (ACI), 'Azure Container Registry' (ACR) and 'Azure Kubernetes Service' (AKS) resources, push and pull images, and deploy services. On the client side, lightweight shells to the 'docker', 'kubectl' and 'helm' commandline tools are provided.
Author: Hong Ooi [aut, cre], Bill Liang [ctb] (Assistance debugging MMLS on Kubernetes), Ramkumar Chandrasekaran [ctb] (Original blog article on Dockerising MMLS), Microsoft [cph]
Maintainer: Hong Ooi <hongooi@microsoft.com>

Diff between AzureContainers versions 1.0.0 dated 2018-12-25 and 1.0.1 dated 2019-02-14

 DESCRIPTION               |    6 +++---
 MD5                       |   16 ++++++++--------
 NEWS.md                   |    6 ++++++
 R/add_aci_methods.R       |   20 ++++++++++----------
 R/add_acr_methods.R       |   22 +++++++++++-----------
 R/add_aks_methods.R       |   33 ++++++++++++++++++++++-----------
 R/az_kubernetes_service.R |   15 ++++++++++++---
 README.md                 |    5 +++++
 man/create_aks.Rd         |    2 ++
 9 files changed, 79 insertions(+), 46 deletions(-)

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