Sun, 26 Mar 2017

Package ump updated to version 0.5-8 with previous version 0.5-6 dated 2015-07-02

Title: Uniformly Most Powerful Tests
Description: Does uniformly most powerful (UMP) and uniformly most powerful unbiased (UMPU) tests. At present only distribution implemented is binomial distribution. Also does fuzzy tests and confidence intervals (following Geyer and Meeden, 2005, <doi:10.1214/088342305000000340>) for the binomial distribution (one-tailed procedures based on UMP test and two-tailed procedures based on UMPU test).
Author: Charles J. Geyer <charlie@stat.umn.edu> and Glen D. Meeden <glen@stat.umn.edu>
Maintainer: Charles J. Geyer <charlie@stat.umn.edu>

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Package RInno updated to version 0.0.2 with previous version 0.0.1 dated 2017-03-02

Title: An Installation Framework for Shiny Apps
Description: Installs shiny apps using Inno Setup, an open source software that builds installers for Windows programs <http://www.jrsoftware.org/ishelp/>.
Author: Jon Hill [aut, cre, cph], W. Lee Pang [aut, cph] (DesktopDeployR project at https://github.com/wleepang/DesktopDeployR)
Maintainer: Jon Hill <jon.mark.hill@gmail.com>

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Package pooh updated to version 0.3-2 with previous version 0.3-1 dated 2015-07-03

Title: Partial Orders and Relations
Description: Finds equivalence classes corresponding to a symmetric relation or undirected graph. Finds total order consistent with partial order or directed graph (so-called topological sort).
Author: Charles J. Geyer <charlie@stat.umn.edu>.
Maintainer: Charles J. Geyer <charlie@stat.umn.edu>

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Package magick updated to version 0.4 with previous version 0.3 dated 2016-09-06

Title: Advanced Image-Processing in R
Description: Bindings to 'ImageMagick': the most comprehensive open-source image processing library available. Supports many common formats (png, jpeg, tiff, pdf, etc) and manipulations (rotate, scale, crop, trim, flip, blur, etc). All operations are vectorized via the Magick++ STL meaning they operate either on a single frame or a series of frames for working with layers, collages, or animation. In RStudio images are automatically previewed when printed to the console, resulting in an interactive editing environment.
Author: Jeroen Ooms
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package jtools updated to version 0.4.4 with previous version 0.4.2 dated 2017-02-27

Title: Analysis and Presentation of Social Scientific Data
Description: This is a collection of tools that the author (Jacob) has written for the purpose of more efficiently understanding and sharing the results of (primarily) regression analyses. There are a number of functions focused specifically on the interpretation and presentation of interactions in linear models. Just about everything supports models from the survey package.
Author: Jacob A. Long [aut, cre]
Maintainer: Jacob A. Long <long.1377@osu.edu>

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Package NetworkRiskMeasures updated to version 0.1.2 with previous version 0.1.1 dated 2017-01-10

Title: Risk Measures for (Financial) Networks
Description: Implements some risk measures for (financial) networks, such as DebtRank, Impact Susceptibility, Impact Diffusion and Impact Fluidity.
Author: Carlos Cinelli <carloscinelli@hotmail.com>, Thiago Cristiano Silva <thiagochris@gmail.com>
Maintainer: Carlos Cinelli <carloscinelli@hotmail.com>

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Package datapasta updated to version 2.0.0 with previous version 1.1.0 dated 2017-01-09

Title: R Tools for Data Copy-Pasta
Description: RStudio addins and R functions that make copy-pasting vectors and tables to text painless.
Author: Miles McBain [aut, cre], Jonathan Carroll [aut]
Maintainer: Miles McBain <miles.mcbain@gmail.com>

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Package CORElearn updated to version 1.50.1 with previous version 1.48.0 dated 2016-07-25

Title: Classification, Regression and Feature Evaluation
Description: This is a suite of machine learning algorithms written in C++ with R interface. It contains several machine learning model learning techniques in classification and regression, for example classification and regression trees with optional constructive induction and models in the leaves, random forests, kNN, naive Bayes, and locally weighted regression. All predictions obtained with these models can be explained and visualized with ExplainPrediction package. The package is especially strong in feature evaluation where it contains several variants of Relief algorithm and many impurity based attribute evaluation functions, e.g., Gini, information gain, MDL, and DKM. These methods can be used for example to discretize numeric attributes. Its additional feature is OrdEval algorithm and its visualization used for evaluation of data sets with ordinal features and class, enabling analysis according to the Kano model of customer satisfaction. Several algorithms support parallel multithreaded execution via OpenMP. The top-level documentation is reachable through ?CORElearn.
Author: Marko Robnik-Sikonja and Petr Savicky
Maintainer: "Marko Robnik-Sikonja" <marko.robnik@fri.uni-lj.si>

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Package aster2 updated to version 0.3 with previous version 0.2-1 dated 2015-05-11

Title: Aster Models
Description: Aster models are exponential family regression models for life history analysis. They are like generalized linear models except that elements of the response vector can have different families (e. g., some Bernoulli, some Poisson, some zero-truncated Poisson, some normal) and can be dependent, the dependence indicated by a graphical structure. Discrete time survival analysis, zero-inflated Poisson regression, and generalized linear models that are exponential family (e. g., logistic regression and Poisson regression with log link) are special cases. Main use is for data in which there is survival over discrete time periods and there is additional data about what happens conditional on survival (e. g., number of offspring). Uses the exponential family canonical parameterization (aster transform of usual parameterization). Unlike the aster package, this package does dependence groups (nodes of the graph need not be conditionally independent given their predecessor node), including multinomial and two-parameter normal as families. Thus this package also generalizes mark-capture-recapture analysis.
Author: Charles J. Geyer <charlie@stat.umn.edu>.
Maintainer: Charles J. Geyer <charlie@stat.umn.edu>

Diff between aster2 versions 0.2-1 dated 2015-05-11 and 0.3 dated 2017-03-26

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Package semiArtificial updated to version 2.2.4 with previous version 2.0.1 dated 2015-09-03

Title: Generator of Semi-Artificial Data
Description: Contains methods to generate and evaluate semi-artificial data sets. Based on a given data set different methods learn data properties using machine learning algorithms and generate new data with the same properties. The package currently includes the following data generators: i) a RBF network based generator using rbfDDA() from package 'RSNNS', ii) a Random Forest based generator for both classification and regression problems iii) a density forest based generator for unsupervised data Data evaluation support tools include: a) single attribute based statistical evaluation: mean, median, standard deviation, skewness, kurtosis, medcouple, L/RMC, KS test, Hellinger distance b) evaluation based on clustering using Adjusted Rand Index (ARI) and FM c) evaluation based on classification performance with various learning models, e.g., random forests.
Author: Marko Robnik-Sikonja
Maintainer: Marko Robnik-Sikonja <marko.robnik@fri.uni-lj.si>

Diff between semiArtificial versions 2.0.1 dated 2015-09-03 and 2.2.4 dated 2017-03-26

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Package RcppTOML updated to version 0.1.2 with previous version 0.1.1 dated 2017-02-12

Title: 'Rcpp' Bindings to Parser for Tom's Obvious Markup Language
Description: The configuration format defined by 'TOML' (which expands to "Tom's Obvious Markup Language") specifies an excellent format (described at <https://github.com/toml-lang/toml>) suitable for both human editing as well as the common uses of a machine-readable format. This package uses 'Rcpp' to connect the 'cpptoml' parser written by Chase Geigle (in modern C++11) to R.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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New package pmfdR with initial version 1.0
Package: pmfdR
Title: Book Companion for Processing and Modelling Financial Data with R
Version: 1.0
Authors@R: person("Marcelo", "Perlin", email = "marceloperlin@gmail.com", role = c("aut", "cre"))
Description: Provides access to material from the book "Processing and Modelling Financial Data with R" by Marcelo Perlin (2017) available at <https://sites.google.com/view/pmfdr/home>.
Date: 2017-03-25
Depends: R (>= 3.3.3), exams, stringr
Imports: curl, utils
License: GPL-2
LazyData: true
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, testthat, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-03-26 12:27:18 UTC; msperlin
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>
Repository: CRAN
Date/Publication: 2017-03-26 16:12:19 UTC

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Package pgirmess updated to version 1.6.6 with previous version 1.6.5 dated 2016-09-25

Title: Data Analysis in Ecology
Description: Miscellaneous functions for data analysis in ecology, with special emphasis on spatial data.
Author: Patrick Giraudoux <patrick.giraudoux@univ-fcomte.fr>
Maintainer: Patrick Giraudoux <patrick.giraudoux@univ-fcomte.fr>

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Package MXM updated to version 0.9.9 with previous version 0.9.8 dated 2017-02-20

Title: Discovering Multiple, Statistically-Equivalent Signatures
Description: Feature selection methods for identifying minimal, statistically-equivalent and equally-predictive feature subsets. Bayesian network algorithms and related functions are also included. The package name 'MXM' stands for "Mens eX Machina", meaning "Mind from the Machine" in Latin.
Author: Ioannis Tsamardinos, Vincenzo Lagani, Giorgos Athineou, Michail Tsagris, Giorgos Borboudakis, Anna Roumpelaki
Maintainer: Michail Tsagris <mtsagris@csd.uoc.gr>

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Package MVLM updated to version 0.1.4 with previous version 0.0.1 dated 2016-08-05

Title: Multivariate Linear Model with Analytic p-Values
Description: Allows a user to conduct multivariate multiple regression using analytic p-values rather than classic approximate F-tests.
Author: Daniel B. McArtor (dmcartor@nd.edu) [aut, cre]
Maintainer: Daniel B. McArtor <dmcartor@nd.edu>

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Package matchingMarkets updated to version 0.3-3 with previous version 0.3-2 dated 2016-08-27

Title: Analysis of Stable Matchings
Description: Implements structural estimators to correct for the sample selection bias from observed outcomes in matching markets. This includes one-sided matching of agents into groups as well as two-sided matching of students to schools. The package also contains algorithms to find stable matchings in the three most common matching problems: the stable roommates problem, the college admissions problem, and the house allocation problem.
Author: Thilo Klein
Maintainer: Thilo Klein <thilo@klein.uk>

Diff between matchingMarkets versions 0.3-2 dated 2016-08-27 and 0.3-3 dated 2017-03-26

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Package lidR updated to version 1.2.0 with previous version 1.1.0 dated 2017-02-05

Title: Airborne LiDAR Data Manipulation and Visualization for Forestry Applications
Description: Airborne LiDAR (Light Detection and Ranging) interface for data manipulation and visualization. Read/write 'las' and 'laz' files, computation of metrics in area based approach, point filtering, artificial point reduction, classification from geographic data, normalization, individual tree segmentation and other manipulations.
Author: Jean-Romain Roussel [aut, cre, cph], David Auty [aut, ctb] (Reviews the documentation), Florian De Boissieu [ctb] (Fixed bugs and improved catalog features), Andrew Sánchez Meador [ctb] (Helped to review the documentation)
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1@ulaval.ca>

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Package gems updated to version 1.1.1 with previous version 1.1.0 dated 2016-11-29

Title: Generalized Multistate Simulation Model
Description: Simulate and analyze multistate models with general hazard functions. gems provides functionality for the preparation of hazard functions and parameters, simulation from a general multistate model and predicting future events. The multistate model is not required to be a Markov model and may take the history of previous events into account. In the basic version, it allows to simulate from transition-specific hazard function, whose parameters are multivariable normally distributed.
Author: Luisa Salazar Vizcaya, Nello Blaser, Thomas Gsponer
Maintainer: Luisa Salazar Vizcaya <luisapaola.salazarvizcaya@insel.ch>

Diff between gems versions 1.1.0 dated 2016-11-29 and 1.1.1 dated 2017-03-26

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Package dbmss updated to version 2.4-0 with previous version 2.3-0 dated 2016-09-18

Title: Distance-Based Measures of Spatial Structures
Description: Simple computation of spatial statistic functions of distance to characterize the spatial structures of mapped objects, including classical ones (Ripley's K and others) and more recent ones used by spatial economists (Duranton and Overman's Kd, Marcon and Puech's M). Relies on 'spatstat' for some core calculation.
Author: Eric Marcon, Gabriel Lang, Stephane Traissac, Florence Puech
Maintainer: Eric Marcon <Eric.Marcon@ecofog.gf>

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Package crandatapkgs updated to version 0.1.7 with previous version 0.1.5 dated 2016-08-02

Title: Find Data-Only Packages on CRAN
Description: Provides a data frame listing of known data-only and data-heavy packages available on CRAN.
Author: Thomas J. Leeper [aut, cre]
Maintainer: Thomas J. Leeper <thosjleeper@gmail.com>

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Package striprtf (with last version 0.2.2) was removed from CRAN

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2016-12-16 0.2.2

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Package rwunderground (with last version 0.1.0) was removed from CRAN

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2015-08-29 0.1.0

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2016-08-08 1.0.1
2016-07-20 1.0.0

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2016-07-28 2.0.0

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Package dendextendRcpp (with last version 0.6.1) was removed from CRAN

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2015-05-22 0.6.1
2014-03-16 0.5.1
2014-03-15 0.5.0

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Package partools (with last version 1.1.5) was removed from CRAN

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2016-07-16 1.1.5
2015-08-01 1.1.3
2015-07-21 1.1.1
2015-01-03 1.0.1

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Package fheatmap (with last version 1.0.1) was removed from CRAN

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2015-12-09 1.0.1
2015-05-03 1.0.0

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Package rgeospatialquality (with last version 0.3.2) was removed from CRAN

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2016-06-28 0.3.2

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Package goldi (with last version 1.0.0) was removed from CRAN

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2016-10-16 1.0.0

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Package megaptera (with last version 1.0-0) was removed from CRAN

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2014-11-13 1.0-0

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Package onlineCPD (with last version 1.0) was removed from CRAN

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2016-08-23 1.0

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Package curlconverter (with last version 0.7.0) was removed from CRAN

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2016-03-29 0.7.0

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Package RBerkeley (with last version 0.7-5) was removed from CRAN

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2015-07-29 0.7-5

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Package VetResearchLMM (with last version 0.1.0) was removed from CRAN

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2016-06-24 0.1.0

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Package MAMA (with last version 2.2.1) was removed from CRAN

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

2013-04-30 2.2.1
2012-09-17 2.1.0

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Package StatMethRank (with last version 1.3) was removed from CRAN

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2015-09-10 1.3
2015-07-29 1.2
2014-07-10 1.0

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Package Sabermetrics (with last version 2.0) was removed from CRAN

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2016-01-26 2.0
2015-02-06 1.0

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Package Rsundials (with last version 1.6) was removed from CRAN

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2007-11-30 1.6

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Package DNAprofiles (with last version 0.3.1) was removed from CRAN

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2015-04-21 0.3.1
2015-04-20 0.3
2014-06-23 0.2
2014-05-19 0.1.1

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Package GeneralTree (with last version 0.0.1) was removed from CRAN

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2016-09-08 0.0.1

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Package Pasha (with last version 0.99.21) was removed from CRAN

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2016-03-18 0.99.21
2015-10-16 0.99.18
2015-08-01 0.99.16

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Package QCA3 (with last version 0.0-8) was removed from CRAN

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

2016-07-30 0.0-8
2014-04-27 0.0-7
2014-04-18 0.0-6
2012-04-10 0.0-5
2011-09-20 0.0-4
2010-05-22 0.0-3
2009-10-12 0.0-2
2009-09-28 0.0-1

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New package NetworkInference with initial version 1.0.0
Package: NetworkInference
Type: Package
Title: Inferring Latent Diffusion Networks
Version: 1.0.0
Date: 2017-03-25
Authors@R: c(person("Fridolin", "Linder", email = "fridolin.linder@gmail.com", role = c("aut", "cre")), person("Bruce", "Desmarais", role = "ctb"))
Description: This is an R implementation of the netinf algorithm (Gomez Rodriguez, Leskovec, and Krause, 2010)<doi:10.1145/1835804.1835933>. Given a set of events that spread between a set of nodes the algorithm infers the most likely stable diffusion network that is underlying the diffusion process.
License: MIT + file LICENSE
Imports: Rcpp (>= 0.12.5), assertthat, checkmate, ggplot2, ggrepel, stats
LinkingTo: Rcpp
BugReports: https://github.com/desmarais-lab/NetworkInference/issues
Suggests: testthat, knitr, rmarkdown, pander, igraph, utils
RoxygenNote: 6.0.1
SystemRequirements: C++11
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2017-03-25 17:31:14 UTC; flinder
Author: Fridolin Linder [aut, cre], Bruce Desmarais [ctb]
Maintainer: Fridolin Linder <fridolin.linder@gmail.com>
Repository: CRAN
Date/Publication: 2017-03-26 07:30:59 UTC

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Package GAS updated to version 0.1.6 with previous version 0.1.5 dated 2016-11-19

Title: Generalized Autoregressive Score Models
Description: Simulate, estimate and forecast using univariate and multivariate GAS models.
Author: Leopoldo Catania [aut,cre], Kris Boudt [ctb], David Ardia [ctb]
Maintainer: Leopoldo Catania <leopoldo.catania@uniroma2.it>

Diff between GAS versions 0.1.5 dated 2016-11-19 and 0.1.6 dated 2017-03-26

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Package frair updated to version 0.5.100 with previous version 0.5 dated 2016-04-23

Title: Tools for Functional Response Analysis
Description: Tools to support sensible statistics for functional response analysis.
Author: Daniel Pritchard [aut, cre], Daniel Barrios-O'Neill [ctb], Helene Bovy [ctb], Rachel Paterson [ctb]
Maintainer: Daniel Pritchard <daniel@pritchard.co>

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Package FamEvent updated to version 1.3 with previous version 1.2 dated 2016-09-30

Title: Family Age-at-Onset Data Simulation and Penetrance Estimation
Description: Simulates age-at-onset traits associated with a segregating major gene in family data obtained from population-based, clinic-based, or multi-stage designs. Appropriate ascertainment correction is utilized to estimate age-dependent penetrance functions either parametrically from the fitted model or nonparametrically from the data. The Expectation and Maximization algorithm can infer missing genotypes and carrier probabilities estimated from family's genotype and phenotype information or from a fitted model. Plot functions include pedigrees of simulated families and predicted penetrance curves based on specified parameter values.
Author: Yun-Hee Choi, Karen Kopciuk, Wenqing He, Laurent Briollais
Maintainer: Yun-Hee Choi <yun-hee.choi@schulich.uwo.ca>

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New package bupaR with initial version 0.1.0
Package: bupaR
Type: Package
Title: Business Process Analytics in R
Version: 0.1.0
Date: 2017-03-25
Author: Gert Janssenswillen
Maintainer: Gert Janssenswillen <gert.janssenswillen@uhasselt.be>
Description: Functionalities for process analysis in R. This packages implements an S3-class for event log objects, and related handler functions. Imports related packages for subsetting event data, computation of descriptive statistics, handling of Petri Net objects and visualization of process maps.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
Imports: edeaR, petrinetR, magrittr, dplyr, data.table
NeedsCompilation: no
Packaged: 2017-03-25 23:43:53 UTC; lucp8407
Repository: CRAN
Date/Publication: 2017-03-26 07:31:01 UTC

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Package bnlearn updated to version 4.1.1 with previous version 4.1 dated 2017-02-09

Title: Bayesian Network Structure Learning, Parameter Learning and Inference
Description: Bayesian network structure learning, parameter learning and inference. This package implements constraint-based (GS, IAMB, Inter-IAMB, Fast-IAMB, MMPC, Hiton-PC), pairwise (ARACNE and Chow-Liu), score-based (Hill-Climbing and Tabu Search) and hybrid (MMHC and RSMAX2) structure learning algorithms for discrete, Gaussian and conditional Gaussian networks, along with many score functions and conditional independence tests. The Naive Bayes and the Tree-Augmented Naive Bayes (TAN) classifiers are also implemented. Some utility functions (model comparison and manipulation, random data generation, arc orientation testing, simple and advanced plots) are included, as well as support for parameter estimation (maximum likelihood and Bayesian) and inference, conditional probability queries and cross-validation. Development snapshots with the latest bugfixes are available from <http://www.bnlearn.com>.
Author: Marco Scutari
Maintainer: Marco Scutari <marco.scutari@gmail.com>

Diff between bnlearn versions 4.1 dated 2017-02-09 and 4.1.1 dated 2017-03-26

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