Sun, 21 Jan 2018

Package MetaLonDA updated to version 1.0.9 with previous version 1.0.7 dated 2017-12-17

Title: Metagenomics Longitudinal Differential Abundance Method
Description: Identify time intervals of differentially abundant metagenomics features in longitudinal studies <doi:10.1145/3107411.3107429>.
Author: Ahmed Metwally, Yang Dai, Patricia Finn, David Perkins
Maintainer: Ahmed Metwally <ametwa2@uic.edu>

Diff between MetaLonDA versions 1.0.7 dated 2017-12-17 and 1.0.9 dated 2018-01-21

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Package ICAOD updated to version 0.9.6 with previous version 0.9.2 dated 2017-01-09

Title: Optimal Designs for Nonlinear Models
Description: Finds optimal designs for nonlinear models using a metaheuristic algorithm called imperialist competitive algorithm ICA. See, for details, Masoudi et al. (2017) <doi:10.1016/j.csda.2016.06.014>.
Author: Ehsan Masoudi [aut, cre], Heinz Holling [aut], Weng Kee Wong [aut]
Maintainer: Ehsan Masoudi <ehsan.masoudi@wwu.de>

Diff between ICAOD versions 0.9.2 dated 2017-01-09 and 0.9.6 dated 2018-01-21

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Package Rblpapi updated to version 0.3.8 with previous version 0.3.6 dated 2017-04-20

Title: R Interface to 'Bloomberg'
Description: An R Interface to 'Bloomberg' is provided via the 'Blp API'.
Author: Whit Armstrong, Dirk Eddelbuettel and John Laing
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between Rblpapi versions 0.3.6 dated 2017-04-20 and 0.3.8 dated 2018-01-21

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Package listenv updated to version 0.7.0 with previous version 0.6.0 dated 2015-12-27

Title: Environments Behaving (Almost) as Lists
Description: List environments are environments that have list-like properties. For instance, the elements of a list environment are ordered and can be accessed and iterated over using index subsetting, e.g. 'x <- listenv(a = 1, b = 2); for (i in seq_along(x)) x[[i]] <- x[[i]] ^ 2; y <- as.list(x)'.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package grattan updated to version 1.5.3.1 with previous version 1.5.2.5 dated 2017-11-16

Title: Australian Tax Policy Analysis
Description: Utilities for costing and evaluating Australian tax policy, including high-performance tax and transfer calculators, a fast method of projecting tax collections, and an interface to common indices from the Australian Bureau of Statistics. Written to support Grattan Institute's Australian Perspectives program. For access to the 'taxstats' package, please run install.packages("taxstats", repos = "https://hughparsonage.github.io/drat/", type = "source"). N.B. The 'taxstats' package is approximately 50 MB.
Author: Hugh Parsonage [aut, cre], Tim Cameron [aut], Brendan Coates [aut], William Young [aut], Ittima Cherastidtham [dtc], W. Karsten [ctb], M. Enrique Garcia [ctb]
Maintainer: Hugh Parsonage <hugh.parsonage@gmail.com>

Diff between grattan versions 1.5.2.5 dated 2017-11-16 and 1.5.3.1 dated 2018-01-21

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Package joineRML updated to version 0.4.1 with previous version 0.4.0 dated 2017-11-11

Title: Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes
Description: Fits the joint model proposed by Henderson and colleagues (2000) <doi:10.1093/biostatistics/1.4.465>, but extended to the case of multiple continuous longitudinal measures. The time-to-event data is modelled using a Cox proportional hazards regression model with time-varying covariates. The multiple longitudinal outcomes are modelled using a multivariate version of the Laird and Ware linear mixed model. The association is captured by a multivariate latent Gaussian process. The model is estimated using a Monte Carlo Expectation Maximization algorithm. This project is funded by the Medical Research Council (Grant number MR/M013227/1).
Author: Graeme L. Hickey [cre, aut], Pete Philipson [aut], Andrea Jorgensen [aut], Ruwanthi Kolamunnage-Dona [aut], Paula Williamson [ctb], Dimitris Rizopoulos [ctb, dtc] (data/renal.rda, R/hessian.R, R/vcov.R), Alessandro Gasparini [ctb], Medical Research Council [fnd] (Grant number: MR/M013227/1)
Maintainer: Graeme L. Hickey <graeme.hickey@liverpool.ac.uk>

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Package MCMCpack updated to version 1.4-2 with previous version 1.4-1 dated 2017-12-05

Title: Markov Chain Monte Carlo (MCMC) Package
Description: Contains functions to perform Bayesian inference using posterior simulation for a number of statistical models. Most simulation is done in compiled C++ written in the Scythe Statistical Library Version 1.0.3. All models return coda mcmc objects that can then be summarized using the coda package. Some useful utility functions such as density functions, pseudo-random number generators for statistical distributions, a general purpose Metropolis sampling algorithm, and tools for visualization are provided.
Author: Andrew D. Martin [aut], Kevin M. Quinn [aut], Jong Hee Park [aut,cre], Ghislain Vieilledent [ctb], Michael Malecki[ctb], Matthew Blackwell [ctb]
Maintainer: Jong Hee Park <jongheepark@snu.ac.kr>

Diff between MCMCpack versions 1.4-1 dated 2017-12-05 and 1.4-2 dated 2018-01-21

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Package itsmr updated to version 1.8 with previous version 1.7 dated 2017-11-05

Title: Time Series Analysis Using the Innovations Algorithm
Description: Provides functions for modeling and forecasting time series data. Forecasting is based on the innovations algorithm. A description of the innovations algorithm can be found in the textbook "Introduction to Time Series and Forecasting" by Peter J. Brockwell and Richard A. Davis. <http://www.springer.com/us/book/9781475777505>.
Author: George Weigt
Maintainer: George Weigt <g808391@icloud.com>

Diff between itsmr versions 1.7 dated 2017-11-05 and 1.8 dated 2018-01-21

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New package geophys with initial version 1.4-1
Package: geophys
Type: Package
Title: Geophysics, Continuum Mechanics, Gravity Modeling
Version: 1.4-1
Date: 2018-01-18
Depends: R (>= 2.15)
Imports: RPMG, RSEIS, RFOC, GEOmap, cluster
Suggests: stats
Authors@R: c(person(given="Jonathan M.", family="Lees", role = c("aut", "cre"),email = "jonathan.lees@unc.edu"), person("Jake", "Anderson", role = "ctb", email = "ajakef@gmail.com"), person(given='Francois' , family='Beauducel' , role='ctb'), person(given='Dmitry', family='Nicolsky', role='ctb'))
Author: Jonathan M. Lees [aut, cre], Jake Anderson [ctb], Francois Beauducel [ctb], Dmitry Nicolsky [ctb]
Maintainer: Jonathan M. Lees <jonathan.lees@unc.edu>
Description: Codes for analyzing various problems of geophysics, continuum mechanics and gravity models.
License: GPL (>= 2)
Copyright: see inst/COPYRIGHTS
Packaged: 2018-01-18 23:39:07 UTC; lees
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2018-01-21 19:39:01 UTC

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Package seplyr updated to version 0.5.3 with previous version 0.5.2 dated 2018-01-20

Title: Improved Standard Evaluation Interfaces for Common Data Manipulation Tasks
Description: The 'seplyr' (standard evaluation plying) package supplies improved standard evaluation adapter methods for important common 'dplyr' data manipulation tasks. In addition the 'seplyr' package supplies several new "key operations bound together" methods. These include 'group_summarize()' (which combines grouping, arranging and calculation in an atomic unit), 'add_group_summaries()' (which joins grouped summaries into a 'data.frame' in a well documented manner), 'add_group_indices()' (which adds per-group identifiers to a 'data.frame' without depending on row-order), 'partition_mutate_qt()' (which optimizes mutate sequences), and 'if_else_device()' (which simulates per-row if-else blocks in expression sequences).
Author: John Mount [aut, cre], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between seplyr versions 0.5.2 dated 2018-01-20 and 0.5.3 dated 2018-01-21

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Package RTransProb updated to version 0.2.0 with previous version 0.1.0 dated 2017-04-11

Title: Analyze and Forecast Credit Migrations
Description: A set of functions used to automate commonly used methods in credit risk to estimate migration (transition) matrices. The package includes multiple methods for bootstrapping default rates and forecasting/stress testing credit exposures migrations, via Econometrics and Machine Learning algorithms.
Author: Ab NDiaye
Maintainer: Ab NDiaye <pabdndiaye@gmail.com>

Diff between RTransProb versions 0.1.0 dated 2017-04-11 and 0.2.0 dated 2018-01-21

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Package rSCA updated to version 3.0 with previous version 2.1 dated 2014-05-10

Title: An R Package for Stepwise Cluster Analysis
Description: A statistical tool for multivariate modeling and clustering using stepwise cluster analysis. The modeling output of rSCA is constructed as a cluster tree to represent the complicated relationships between multiple dependent and independent variables. A free tool (named rSCA Tree Generator) for visualizing the cluster tree from rSCA is also released and it can be downloaded at <https://rscatree.weebly.com/>.
Author: Xiuquan Wang
Maintainer: Xiuquan Wang <xiuquan.wang@gmail.com>

Diff between rSCA versions 2.1 dated 2014-05-10 and 3.0 dated 2018-01-21

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Package funModeling updated to version 1.6.7 with previous version 1.6.6 dated 2017-12-18

Title: Exploratory Data Analysis and Data Preparation Tool-Box Book
Description: Around 10% of almost any predictive modeling project is spent in predictive modeling, 'funModeling' and the book Data Science Live Book (<http://livebook.datascienceheroes.com/>) are intended to cover remaining 90%: data preparation, profiling, selecting best variables 'dataViz', assessing model performance and other functions.
Author: Pablo Casas
Maintainer: Pablo Casas <pcasas.biz@gmail.com>

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Package chunkR updated to version 1.1.0 with previous version 1.0.0 dated 2018-01-15

Title: Read Tables in Chunks
Description: Read external data tables chunk by chunk using a C++ backend and a simple R interface.
Author: Leandro Roser [aut, cre]
Maintainer: Leandro Roser <learoser@gmail.com>

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Package tropAlgebra updated to version 0.1.1 with previous version 0.1.0 dated 2017-08-01

Title: Tropical Algebraic Functions
Description: It includes functions like tropical addition, tropical multiplication for vectors and matrices. In tropical algebra, the tropical sum of two numbers is their minimum and the tropical product of two numbers is their ordinary sum. For more information see also I. Simon (1988) Recognizable sets with multiplicities in the tropical semi ring: Volume 324 Lecture Notes I Computer Science, pages 107-120 <doi: 10.1007/BFb0017135>.
Author: Muhammad Kashif Hanif [cre, aut], Rehman Ahmad [aut], Karl-Heinz Zimmermann [aut], Zia ul Qayyum [aut]
Maintainer: Muhammad Kashif Hanif <mkashifhanif@gcuf.edu.pk>

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Package MGLM updated to version 0.1.0 with previous version 0.0.9 dated 2018-01-14

Title: Multivariate Response Generalized Linear Models
Description: Provides functions that (1) fit multivariate discrete distributions, (2) generate random numbers from multivariate discrete distributions, and (3) run regression and penalized regression on the multivariate categorical response data. Implemented models include: multinomial logit model, Dirichlet multinomial model, generalized Dirichlet multinomial model, and negative multinomial model. Making the best of the minorization-maximization (MM) algorithm and Newton-Raphson method, we derive and implement stable and efficient algorithms to find the maximum likelihood estimates. On a multi-core machine, multi-threading is supported.
Author: Yiwen Zhang <zhangyiwen1015@gmail.com> and Hua Zhou <huazhou@ucla.edu>
Maintainer: Juhyun Kim <juhkim111@ucla.edu>

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Package FindIt updated to version 1.1.3 with previous version 1.1.2 dated 2017-10-05

Title: Finding Heterogeneous Treatment Effects
Description: The heterogeneous treatment effect estimation procedure proposed by Imai and Ratkovic (2013)<DOI: 10.1214/12-AOAS593>. The proposed method is applicable, for example, when selecting a small number of most (or least) efficacious treatments from a large number of alternative treatments as well as when identifying subsets of the population who benefit (or are harmed by) a treatment of interest. The method adapts the Support Vector Machine classifier by placing separate LASSO constraints over the pre-treatment parameters and causal heterogeneity parameters of interest. This allows for the qualitative distinction between causal and other parameters, thereby making the variable selection suitable for the exploration of causal heterogeneity. The package also contains a class of functions, CausalANOVA, which estimates the average marginal interaction effects (AMIEs) by a regularized ANOVA as proposed by Egami and Imai (2016+). It contains a variety of regularization techniques to facilitate analysis of large factorial experiments.
Author: Naoki Egami <negami@princeton.edu>, Marc Ratkovic <ratkovic@princeton.edu>, Kosuke Imai <kimai@princeton.edu>,
Maintainer: Naoki Egami <negami@princeton.edu>

Diff between FindIt versions 1.1.2 dated 2017-10-05 and 1.1.3 dated 2018-01-21

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Package fDMA updated to version 2.2.2 with previous version 2.2.1 dated 2017-11-24

Title: Dynamic Model Averaging and Dynamic Model Selection for Continuous Outcomes
Description: Allows to estimate dynamic model averaging, dynamic model selection and median probability model. The original methods are implemented, as well as, selected further modifications of these methods. In particular the user might choose between recursive moment estimation and exponentially moving average for variance updating. Inclusion probabilities might be modified in a way using 'Google Trends'. The code is written in a way which minimises the computational burden (which is quite an obstacle for dynamic model averaging if many variables are used). For example, this package allows for parallel computations and Occam's window approach. The package is designed in a way that is hoped to be especially useful in economics and finance. Main reference: Raftery, A.E., Karny, M., Ettler, P. (2010) <doi:10.1198/TECH.2009.08104>.
Author: Krzysztof Drachal [aut, cre] (Faculty of Economic Sciences, University of Warsaw, Poland)
Maintainer: Krzysztof Drachal <kdrachal@wne.uw.edu.pl>

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Package datastructures updated to version 0.2.1 with previous version 0.2.0 dated 2017-07-15

Title: Implementation of Core Data Structures
Description: Implementation of advanced data structures such as hashmaps, heaps, or queues. Advanced data structures are essential in many computer science and statistics problems, for example graph algorithms or string analysis. The package uses 'Boost' and 'STL' data types and extends these to R with 'Rcpp' modules.
Author: Simon Dirmeier [aut, cre]
Maintainer: Simon Dirmeier <simon.dirmeier@web.de>

Diff between datastructures versions 0.2.0 dated 2017-07-15 and 0.2.1 dated 2018-01-21

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Package CreditRisk updated to version 0.1.3 with previous version 0.1.1 dated 2017-10-02

Title: Evaluation of Credit Risk with Structural and Reduced Form Models
Description: Evaluation of default probability of sovereign and corporate entities based on structural or intensity based models and calibration on market Credit Default Swap quotes. Damiano Brigo, Massimo Morini, Andrea Pallavicini (2013): "Counterparty Credit Risk, Collateral and Funding. With Pricing Cases for All Asset Classes".
Author: Alessandro Cimarelli <alessandro.cimarelli@icloud.com> [anl, aut, cre] Nicolò Manca <n.manca1992@gmail.com> [anl, aut, cre]
Maintainer: Alessandro Cimarelli <alessandro.cimarelli@icloud.com>

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Package wrapr updated to version 1.1.1 with previous version 1.1.0 dated 2018-01-04

Title: Wrap R Functions for Debugging and Parametric Programming
Description: Powerful tools for writing and debugging R code. Provides: 'let()' which converts non-standard evaluation interfaces to parametric standard evaluation interface, 'DebugFnW()' to capture function context on error for debugging, and ':=' named map builder, and lambda-abstraction.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

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Package snakecase updated to version 0.8.1 with previous version 0.7.1 dated 2018-01-08

Title: Convert Strings into any Case
Description: A consistent, flexible and easy to use tool to parse and convert strings into cases like snake or camel among others.
Author: Malte Grosser [aut, cre]
Maintainer: Malte Grosser <malte.grosser@gmail.com>

Diff between snakecase versions 0.7.1 dated 2018-01-08 and 0.8.1 dated 2018-01-21

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Package rMR updated to version 1.1.0 with previous version 1.0.5 dated 2017-09-08

Title: Importing Data from Loligo Systems Software, Calculating Metabolic Rates and Critical Tensions
Description: Analysis of oxygen consumption data generated by Loligo (R) Systems respirometry equipment. The package includes a function for loading data output by Loligo's 'AutoResp' software (get.witrox.data()), functions for calculating metabolic rates over user-specified time intervals, extracting critical points from data using broken stick regressions based on Yeager and Ultsch (<DOI:10.1086/physzool.62.4.30157935>), and easy functions for converting between different units of barometric pressure.
Author: Tyler L. Moulton
Maintainer: Tyler L. Moulton <tyler.moulton@cortland.edu>

Diff between rMR versions 1.0.5 dated 2017-09-08 and 1.1.0 dated 2018-01-21

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Package metaplot updated to version 0.4.0 with previous version 0.3.2 dated 2018-01-07

Title: Data-Driven Diagnostic Plots
Description: Designs plots in terms of core structure. See 'example(metaplot)'. Primary arguments are (unquoted) column names; order and type (numeric or not) dictate the resulting plot. Specify any y variables, x variable, any groups variable, and any conditioning variables to metaplot() to generate density plots, boxplots, scatterplots, scatterplot matrices, or conditioned plots. Use multiplot() to arrange plots in grids. Wherever present, scalar column attributes 'label' and 'guide' are honored, producing fully annotated plots with minimal effort. Attribute 'guide' is typically units, but may be encoded() to provide interpretations of categorical values (see '?encode'). Utility unpack() transforms scalar column attributes to row values and pack() does the reverse, supporting tool-neutral storage of metadata along with primary data. The package supports customizable aesthetics such as such as reference lines, unity lines, smooths, log transformation, and linear fits. Compact syntax and integrated metadata promote workflow scalability.
Author: Tim Bergsma
Maintainer: Tim Bergsma <bergsmat@gmail.com>

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Package lwgeom updated to version 0.1-3 with previous version 0.1-2 dated 2017-12-19

Title: Bindings to Selected 'liblwgeom' Functions for Simple Features
Description: Access to selected functions found in 'liblwgeom' <https://github.com/postgis/postgis/tree/svn-trunk/liblwgeom>, the light-weight geometry library used by 'PostGIS' <http://postgis.net/>.
Author: Edzer Pebesma [aut, cre] (0000-0001-8049-7069), Colin Rundel [ctb], liblwgeom developers [cph]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package LinkageMapView updated to version 2.1.2 with previous version 2.1.0 dated 2017-05-26

Title: Plot Linkage Group Maps with Quantitative Trait Loci
Description: Produces high resolution, publication ready linkage maps and quantitative trait loci maps. Input can be output from 'R/qtl', simple text or comma delimited files. Output is currently a portable document file.
Author: Lisa Ouellette [aut, cre]
Maintainer: Lisa Ouellette <louellet@uncc.edu>

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Package scorecard updated to version 0.1.5 with previous version 0.1.4 dated 2017-12-17

Title: Credit Risk Scorecard
Description: Makes the development of credit risk scorecard easily and efficiently by providing functions such as information value, variable filter, optimal woe binning, scorecard scaling and performance evaluation etc. The references including: 1. Refaat, M. (2011, ISBN: 9781447511199). Credit Risk Scorecard: Development and Implementation Using SAS. 2. Siddiqi, N. (2006, ISBN: 9780471754510). Credit risk scorecards. Developing and Implementing Intelligent Credit Scoring.
Author: Shichen Xie
Maintainer: Shichen Xie <xie@shichen.name>

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Package nofrills updated to version 0.3.0 with previous version 0.2.1 dated 2017-12-16

Title: Low-Cost Anonymous Functions
Description: Provides a compact variation of the usual syntax of function declaration, in order to support tidyverse-style quasiquotation of a function's arguments and body.
Author: Eugene Ha [aut, cre]
Maintainer: Eugene Ha <eha@posteo.de>

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Package clustermq updated to version 0.8.3 with previous version 0.8.2.1 dated 2017-12-17

Title: Evaluate Function Calls on HPC Schedulers (LSF, SGE, SLURM)
Description: Evaluate arbitrary function calls using workers on HPC schedulers in single line of code. All processing is done on the network without accessing the file system. Remote schedulers are supported via SSH.
Author: Michael Schubert <mschu.dev@gmail.com>
Maintainer: Michael Schubert <mschu.dev@gmail.com>

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Package monogeneaGM (with last version 1.1) was removed from CRAN

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

2016-02-12 1.1
2015-07-16 1.0

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Package MODIS (with last version 1.1.1) was removed from CRAN

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

2018-01-20 1.1.1
2017-07-03 1.1.0
2017-01-10 1.0.0

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Package weatherData (with last version 0.5.0) was removed from CRAN

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

2017-06-05 0.5.0
2014-06-24 0.4.1
2014-04-30 0.4
2014-02-04 0.3

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Package PropClust updated to version 1.4-3 with previous version 1.4-2 dated 2013-12-18

Title: Propensity Clustering and Decomposition
Description: Implementation of propensity clustering and decomposition. Propensity decomposition can be viewed on the one hand as a generalization of the eigenvector-based approximation of correlation networks, and on the other hand as a generalization of random multigraph models and conformity-based decompositions.
Author: John Michael O Ranola, Kenneth Lange, Steve Horvath, Peter Langfelder
Maintainer: Peter Langfelder <Peter.Langfelder@gmail.com>

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