Mon, 31 Jul 2017

Package utiml updated to version 0.1.3 with previous version 0.1.2 dated 2017-04-06

Title: Utilities for Multi-Label Learning
Description: Multi-label learning strategies and others procedures to support multi- label classification in R. The package provides a set of multi-label procedures such as sampling methods, transformation strategies, threshold functions, pre-processing techniques and evaluation metrics. A complete overview of the matter can be seen in Zhang, M. and Zhou, Z. (2014) <doi:10.1109/TKDE.2013.39> and Gibaja, E. and Ventura, S. (2015) <doi:10.1145/2716262>.
Author: Adriano Rivolli [aut, cre]
Maintainer: Adriano Rivolli <rivolli@utfpr.edu.br>

Diff between utiml versions 0.1.2 dated 2017-04-06 and 0.1.3 dated 2017-07-31

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Package simule updated to version 1.1.2 with previous version 1.1.1 dated 2017-07-12

Title: A Constrained L1 Minimization Approach for Estimating Multiple Sparse Gaussian or Nonparanormal Graphical Models
Description: This is an R implementation of a constrained l1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models (SIMULE). The SIMULE algorithm can be used to estimate multiple related precision matrices. For instance, it can identify context-specific gene networks from multi-context gene expression datasets. By performing data-driven network inference from high-dimensional and heterogenous data sets, this tool can help users effectively translate aggregated data into knowledge that take the form of graphs among entities. Please run demo(simuleDemo) to learn the basic functions provided by this package. For further details, please read the original paper: Beilun Wang, Ritambhara Singh, Yanjun Qi (2017) <DOI:10.1007/s10994-017-5635-7>.
Author: Beilun Wang [aut, cre], Yanjun Qi [aut]
Maintainer: Beilun Wang <bw4mw@virginia.edu>

Diff between simule versions 1.1.1 dated 2017-07-12 and 1.1.2 dated 2017-07-31

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Package openEBGM updated to version 0.2.0 with previous version 0.1.0 dated 2017-05-05

Title: EBGM Scores for Mining Large Contingency Tables
Description: An implementation of DuMouchel's (1999) <doi:10.1080/00031305.1999.10474456> Bayesian data mining method for the market basket problem. Calculates Empirical Bayes Geometric Mean (EBGM) and quantile scores from the posterior distribution using the Gamma-Poisson Shrinker (GPS) model to find unusually large cell counts in large, sparse contingency tables. Can be used to find unusually high reporting rates of adverse events associated with products. In general, can be used to mine any database where the co-occurrence of two variables or items is of interest. Also calculates relative and proportional reporting ratios. Builds on the work of the 'PhViD' package, from which much of the code is derived. Some of the added features include stratification to adjust for confounding variables and data squashing to improve computational efficiency.
Author: John Ihrie [cre, aut], Travis Canida [aut], Ismaïl Ahmed [ctb] (author of 'PhViD' package (derived code)), Antoine Poncet [ctb] (author of 'PhViD' package (derived code))
Maintainer: John Ihrie <John.Ihrie@fda.hhs.gov>

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Package LindenmayeR updated to version 0.1.13 with previous version 0.1.6 dated 2015-07-16

Title: Functions to Explore L-Systems (Lindenmayer Systems)
Description: L-systems or Lindenmayer systems are parallel rewriting systems which can be used to simulate biological forms and certain kinds of fractals. Briefly, in an L-system a series of symbols in a string are replaced iteratively according to rules to give a more complex string. Eventually, the symbols are translated into turtle graphics for plotting. Wikipedia has a very good introduction: en.wikipedia.org/wiki/L-system This package provides basic functions for exploring L-systems.
Author: Bryan Hanson [aut, cre]
Maintainer: Bryan Hanson <hanson@depauw.edu>

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Package GeNetIt updated to version 0.1-1 with previous version 0.1-0 dated 2016-03-09

Title: Spatial Graph-Theoretic Genetic Gravity Modelling
Description: Implementation of spatial graph-theoretic genetic gravity models. The model framework is applicable for other types of spatial flow questions. Includes functions for constructing spatial graphs, sampling and summarizing associated raster variables and building unconstrained and singly constrained gravity models.
Author: Jeffrey S. Evans [aut, cre], Melanie Murphy [aut]
Maintainer: Jeffrey S. Evans <jeffrey_evans@tnc.org>

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Package downscale updated to version 2.0-0 with previous version 1.2-4 dated 2016-11-25

Title: Downscaling Species Occupancy
Description: A set of functions that downscales species occupancy at coarse grain sizes to predict species occupancy at fine grain sizes.
Author: Charles Marsh [aut, cre]
Maintainer: Charles Marsh <charliem2003@gmail.com>

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Package exampletestr updated to version 1.0.1 with previous version 1.0.0 dated 2017-07-08

Title: Help for Writing Unit Tests Based on Function Examples
Description: Take the examples written in your documentation of functions and use them to create shells (skeletons which must be manually completed by the user) of test files to be tested with the 'testthat' package.
Author: Rory Nolan [aut, cre], Sergi Padilla-Parra [ths]
Maintainer: Rory Nolan <rorynoolan@gmail.com>

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Package bReeze updated to version 0.4-1 with previous version 0.4-0 dated 2014-09-18

Title: Functions for Wind Resource Assessment
Description: A collection of functions to analyse, visualize and interpret wind data and to calculate the potential energy production of wind turbines.
Author: Christian Graul and Carsten Poppinga
Maintainer: Christian Graul <christian.graul@gmail.com>

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Package gjam updated to version 2.1.5 with previous version 2.1.4 dated 2017-05-11

Title: Generalized Joint Attribute Modeling
Description: Analyzes joint attribute data (e.g., species abundance) that are combinations of continuous and discrete data with Gibbs sampling.
Author: James S. Clark, Daniel Taylor-Rodriquez
Maintainer: James S. Clark <jimclark@duke.edu>

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Package ThresholdROC updated to version 2.4 with previous version 2.3 dated 2015-12-14

Title: Threshold Estimation
Description: Point and interval estimations of optimum thresholds for continuous diagnostic tests (two- and three- state settings).
Author: Sara Perez-Jaume, Natalia Pallares, Konstantina Skaltsa
Maintainer: Sara Perez-Jaume <spjaume@gmail.com>

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New package nonlinearICP with initial version 0.1.2.1
Package: nonlinearICP
Type: Package
Title: Invariant Causal Prediction for Nonlinear Models
Version: 0.1.2.1
Date: 2017-07-31
Author: Christina Heinze-Deml <heinzedeml@stat.math.ethz.ch>, Jonas Peters <jonas.peters@math.ku.dk>
Depends: R (>= 3.1.0)
Maintainer: Christina Heinze-Deml <heinzedeml@stat.math.ethz.ch>
Description: Performs 'nonlinear Invariant Causal Prediction' to estimate the causal parents of a given target variable from data collected in different experimental or environmental conditions, extending 'Invariant Causal Prediction' from Peters, Buehlmann and Meinshausen (2016), <arXiv:1501.01332>, to nonlinear settings. For more details, see C. Heinze-Deml, J. Peters and N. Meinshausen: 'Invariant Causal Prediction for Nonlinear Models', <arXiv:1706.08576>.
License: GPL
LazyData: TRUE
Imports: methods, CondIndTests, data.tree, caTools, randomForest
Suggests: testthat
URL: https://github.com/christinaheinze/nonlinearICP-and-CondIndTests
BugReports: https://github.com/christinaheinze/nonlinearICP-and-CondIndTests/issues
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-07-31 10:11:20 UTC; heinzec
Repository: CRAN
Date/Publication: 2017-07-31 13:42:46 UTC

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Package stringdist updated to version 0.9.4.6 with previous version 0.9.4.5 dated 2017-07-27

Title: Approximate String Matching and String Distance Functions
Description: Implements an approximate string matching version of R's native 'match' function. Can calculate various string distances based on edits (Damerau-Levenshtein, Hamming, Levenshtein, optimal sting alignment), qgrams (q- gram, cosine, jaccard distance) or heuristic metrics (Jaro, Jaro-Winkler). An implementation of soundex is provided as well. Distances can be computed between character vectors while taking proper care of encoding or between integer vectors representing generic sequences.
Author: Mark van der Loo [aut, cre], Jan van der Laan [ctb], R Core Team [ctb], Nick Logan [ctb]
Maintainer: Mark van der Loo <mark.vanderloo@gmail.com>

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Package SimComp updated to version 3.2 with previous version 2.2 dated 2014-09-12

Title: Simultaneous Comparisons for Multiple Endpoints
Description: Simultaneous tests and confidence intervals are provided for one-way experimental designs with one or many normally distributed, primary response variables (endpoints). Differences (Hasler and Hothorn, 2011) or ratios (Hasler and Hothorn, 2012) of means can be considered. Various contrasts can be chosen, unbalanced sample sizes are allowed as well as heterogeneous variances (Hasler and Hothorn, 2008) or covariance matrices (Hasler, 2014).
Author: Mario Hasler, Christof Kluss
Maintainer: Mario Hasler <hasler@email.uni-kiel.de>

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Package RDML updated to version 0.9-7 with previous version 0.9-6 dated 2017-04-24

Title: Importing Real-Time Thermo Cycler (qPCR) Data from RDML Format Files
Description: Imports real-time thermo cycler (qPCR) data from Real-time PCR Data Markup Language (RDML) and transforms to the appropriate formats of the 'qpcR' and 'chipPCR' packages. Contains a dendrogram visualization for the structure of RDML object and GUI for RDML editing.
Author: Konstantin A. Blagodatskikh [cre, aut], Stefan Roediger [aut], Michal Burdukiewicz [aut], Andrej-Nikolai Spiess [aut]
Maintainer: Konstantin A. Blagodatskikh <k.blag@yandex.ru>

Diff between RDML versions 0.9-6 dated 2017-04-24 and 0.9-7 dated 2017-07-31

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 NAMESPACE                                     |    1 
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More information about RDML at CRAN
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Package GWRM updated to version 2.1.0.3 with previous version 2.1.0.2 dated 2016-04-13

Title: Generalized Waring Regression Model for Count Data
Description: Statistical functions to fit, validate and describe a Generalized Waring Regression Model (GWRM).
Author: Antonio Jose Saez-Castillo [aut, cre], Silverio Vilchez-Lopez [aut], Maria Jose Olmo-Jimenez [aut], Jose Rodriguez-Avi [aut], Antonio Conde-Sanchez [aut], Ana Maria Martinez-Rodriguez [aut]
Maintainer: Antonio Jose Saez-Castillo <ajsaez@ujaen.es>

Diff between GWRM versions 2.1.0.2 dated 2016-04-13 and 2.1.0.3 dated 2017-07-31

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Package RODBCext updated to version 0.3.1 with previous version 0.3.0 dated 2017-04-10

Title: Parameterized Queries Extension for RODBC
Description: An extension for RODBC package adding support for parameterized queries.
Author: Mateusz Zoltak [aut, cre], Brian Ripley [aut], Michael Lapsley [aut], Will Beasley [ctb], Juergen Altfeld [ctb]
Maintainer: Mateusz Zoltak <zozlak@zozlak.org>

Diff between RODBCext versions 0.3.0 dated 2017-04-10 and 0.3.1 dated 2017-07-31

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New package optional with initial version 1.0
Package: optional
Type: Package
Title: Optional Types and Pattern Matching
Version: 1.0
Date: 2017-07-26
Author: Antoine Champion
Maintainer: Antoine Champion <antoine.champion@outlook.com>
Description: Introduces some() and none, as well as match_with() from functional languages.
License: Boost Software License 1.0
Imports: methods, magrittr
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-07-31 07:47:03 UTC; Antoine
Repository: CRAN
Date/Publication: 2017-07-31 09:00:10 UTC

More information about optional at CRAN
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Package httptest updated to version 2.1.0 with previous version 2.0.0 dated 2017-06-05

Title: A Test Environment for HTTP Requests
Description: Testing code and packages that communicate with remote servers can be painful. Dealing with authentication, bootstrapping server state, cleaning up objects that may get created during the test run, network flakiness, and other complications can make testing seem too costly to bother with. But it doesn't need to be that hard. This package enables one to test all of the logic on the R sides of the API in your package without requiring access to the remote service. Importantly, it provides three test contexts that mock the network connection in different ways, and it offers additional expectations to assert that HTTP requests were--or were not--made. Using these tools, one can test that code is making the intended requests and that it handles the expected responses correctly, all without depending on a connection to a remote API.
Author: Neal Richardson [aut, cre]
Maintainer: Neal Richardson <neal.p.richardson@gmail.com>

Diff between httptest versions 2.0.0 dated 2017-06-05 and 2.1.0 dated 2017-07-31

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Package CompareCausalNetworks updated to version 0.1.9 with previous version 0.1.8 dated 2017-07-17

Title: Interface to Diverse Estimation Methods of Causal Networks
Description: Unified interface for the estimation of causal networks, including the methods 'backShift' (from package 'backShift'), 'bivariateANM' (bivariate additive noise model), 'bivariateCAM' (bivariate causal additive model), 'CAM' (causal additive model) (from package 'CAM'), 'hiddenICP' (invariant causal prediction with hidden variables), 'ICP' (invariant causal prediction) (from package 'InvariantCausalPrediction'), 'GES' (greedy equivalence search), 'GIES' (greedy interventional equivalence search), 'LINGAM', 'PC' (PC Algorithm), 'FCI' (fast causal inference), 'RFCI' (really fast causal inference) (all from package 'pcalg') and regression.
Author: Christina Heinze-Deml <heinzedeml@stat.math.ethz.ch>, Nicolai Meinshausen <meinshausen@stat.math.ethz.ch>
Maintainer: Christina Heinze-Deml <heinzedeml@stat.math.ethz.ch>

Diff between CompareCausalNetworks versions 0.1.8 dated 2017-07-17 and 0.1.9 dated 2017-07-31

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Package BIEN updated to version 1.2.1 with previous version 1.1.0 dated 2017-03-08

Title: Tools for Accessing the Botanical Information and Ecology Network Database
Description: Provides Tools for Accessing the Botanical Information and Ecology Network Database. The BIEN database contains cleaned and standardized botanical data including occurrence, trait, plot and taxonomic data (See <http://Bien.nceas.ucsb.edu/bien/> for more Information). This package provides functions that query the BIEN database by constructing and executing optimized SQL queries.
Author: Brian Maitner [aut, cre]
Maintainer: Brian Maitner <bmaitner@gmail.com>

Diff between BIEN versions 1.1.0 dated 2017-03-08 and 1.2.1 dated 2017-07-31

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 72 files changed, 1914 insertions(+), 2316 deletions(-)

More information about BIEN at CRAN
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Package FinTS (with last version 0.4-5) was removed from CRAN

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

2014-03-28 0.4-5
2009-12-16 0.4-4
2009-10-07 0.4-3
2009-09-07 0.4-2
2009-01-14 0.3-9
2008-09-28 0.3-6
2008-05-25 0.3-3
2008-03-21 0.3-1
2008-02-11 0.2-7
2008-02-08 0.2-6
2008-01-08 0.2-5
2008-01-03 0.2-4
2007-12-18 0.1-17

Permanent link
New package quickblock with initial version 0.1.0
Package: quickblock
Type: Package
Title: Quick Threshold Blocking
Version: 0.1.0
Date: 2017-07-30
Authors@R: c( person("Fredrik", "Savje", email = "fredrik.savje@yale.edu", role = c("aut", "cre")), person("Jasjeet", "Sekhon", role = "aut"), person("Michael", "Higgins", role = "aut"))
Description: Provides functions for assigning treatments in randomized experiments using near-optimal threshold blocking. The package is made with large data sets in mind and derives blocks more than an order of magnitude quicker than other methods.
Depends: R (>= 3.2.3), distances
Imports: scclust
Suggests: testthat
NeedsCompilation: yes
License: GPL (>= 3)
URL: https://github.com/fsavje/quickblock
BugReports: https://github.com/fsavje/quickblock/issues
Encoding: UTF-8
RoxygenNote: 6.0.1
Packaged: 2017-07-31 01:27:14 UTC; fredrik
Author: Fredrik Savje [aut, cre], Jasjeet Sekhon [aut], Michael Higgins [aut]
Maintainer: Fredrik Savje <fredrik.savje@yale.edu>
Repository: CRAN
Date/Publication: 2017-07-31 04:14:35 UTC

More information about quickblock at CRAN
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Package bio3d updated to version 2.3-3 with previous version 2.3-2 dated 2017-06-14

Title: Biological Structure Analysis
Description: Utilities to process, organize and explore protein structure, sequence and dynamics data. Features include the ability to read and write structure, sequence and dynamic trajectory data, perform sequence and structure database searches, data summaries, atom selection, alignment, superposition, rigid core identification, clustering, torsion analysis, distance matrix analysis, structure and sequence conservation analysis, normal mode analysis, principal component analysis of heterogeneous structure data, and correlation network analysis from normal mode and molecular dynamics data. In addition, various utility functions are provided to enable the statistical and graphical power of the R environment to work with biological sequence and structural data. Please refer to the URLs below for more information.
Author: Barry Grant [aut, cre], Xin-Qiu Yao [aut], Lars Skjaerven [aut], Julien Ide [aut]
Maintainer: Barry Grant <bjgrant@umich.edu>

Diff between bio3d versions 2.3-2 dated 2017-06-14 and 2.3-3 dated 2017-07-31

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 18 files changed, 102 insertions(+), 39 deletions(-)

More information about bio3d at CRAN
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