Package tab updated to version 2.1.3 with previous version 2.1.2 dated 2014-07-08

Title: Functions for Creating Summary Tables for Statistical Reports
Description: Contains functions for generating tables for statistical reports written in Microsoft Word or LaTeX. There are functions for I-by-J frequency tables, comparison of means or medians across levels of a categorical variable, and summarizing fitted generalized linear models, generalized estimating equations, and Cox proportional hazards regression. Functions are available to handle data simple random samples or survey data. The package is intended to make it easier for researchers to translate results from statistical analyses in R to their reports or manuscripts.
Author: Dane R. Van Domelen
Maintainer: Dane R. Van Domelen

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Package PivotalR updated to version 0.1.17.3 with previous version 0.1.16.17 dated 2014-08-10

Title: R front-end to PostgreSQL and Pivotal (Greenplum) database, wrapper for MADlib
Description: R interface of Pivotal Data Fabrics running on PostgreSQL or Pivotal (Greenplum) database with parallel and distributed computation ability for big data analytics. PivotalR is a package that enables users of R to interact with the Pivotal (Greenplum) Database as well as Pivotal HD/HAWQ for Big Data analytics. It does so by providing an interface to the operations on tables/views in the database. These operations are almost the same as those of data.frame. Thus the users of R do not need to learn SQL when they operate on the objects in the database. It also provides a wrapper for MADlib, which is an open-source library for parallel and scalable in-database analytics.
Author: Predictive Analytics Team at Pivotal Inc. , with contributions from Data Scientist Team at Pivotal Inc.
Maintainer: Hai Qian

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Package miniCRAN updated to version 0.1-0 with previous version 0.0-16 dated 2014-07-29

Title: Tools to create an internally consistent, mini version of CRAN with selected packages only.
Description: Tools to create an internally consistent, mini version of CRAN with selected packages only.
Author: Revolution Analytics [aut], Andrie de Vries [aut, cre]
Maintainer: Andrie de Vries

Diff between miniCRAN versions 0.0-16 dated 2014-07-29 and 0.1-0 dated 2014-09-16

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New package MatchingFrontier with initial version 0.3.17
Package: MatchingFrontier
Version: 0.3.17
Date: 2014-09-05
Type: Package
Title: Computation of the Balance - Sample Size Frontier in Matching Methods for Causal Inference
Author: Gary King, Christopher Lucas, and Richard Nielsen
Maintainer: Christopher Lucas
Description: MatchingFrontier returns the subset of the data with the minimum imbalance for every possible subset size (N - 1, N - 2, ...), down to the data set with the minimum possible imbalance. The package also includes tools for the estimation of causal effects for each subset size, as well as functions for visualization and data export.
Imports: igraph, MASS
LazyData: true
License: GPL-3
Packaged: 2014-09-16 18:12:59 UTC; christopher
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-16 23:58:00

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Package GuardianR updated to version 0.5 with previous version 0.4 dated 2014-06-13

Title: The Guardian API Wrapper
Description: Provides an interface to the Open Platform's Content API of the Guardian Media Group. It retrieves content from news outlets The Observer, The Guardian, and guardian.co.uk from 1999 to current day
Author: Marco Toledo Bastos & Cornelius Puschmann
Maintainer: Marco Toledo Bastos

Diff between GuardianR versions 0.4 dated 2014-06-13 and 0.5 dated 2014-09-16

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Package dlm updated to version 1.1-4 with previous version 1.1-3 dated 2013-03-26

Title: Bayesian and Likelihood Analysis of Dynamic Linear Models
Description: Maximum likelihood, Kalman filtering and smoothing, and Bayesian analysis of Normal linear State Space models, also known as Dynamic Linear Models
Author: Giovanni Petris . Original C code for ARMS by Wally Gilks.
Maintainer: Giovanni Petris

Diff between dlm versions 1.1-3 dated 2013-03-26 and 1.1-4 dated 2014-09-16

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Package compute.es updated to version 0.2-4 with previous version 0.2-3 dated 2014-01-17

Title: Compute Effect Sizes
Description: This package contains several functions for calculating the most widely used effect sizes (ES), along with their variances, confidence intervals and p-values. The output includes ES's of d (mean difference), g (unbiased estimate of d), r (correlation coefficient), z' (Fisher's z), and OR (odds ratio and log odds ratio). In addition, NNT (number needed to treat), U3, CLES (Common Language Effect Size) and Cliff's Delta are computed. This package uses recommended formulas as described in The Handbook of Research Synthesis and Meta-Analysis (Cooper, Hedges, & Valentine, 2009).
Author: AC Del Re
Maintainer: AC Del Re

Diff between compute.es versions 0.2-3 dated 2014-01-17 and 0.2-4 dated 2014-09-16

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Package nontarget updated to version 1.5 with previous version 1.3 dated 2014-07-23

Title: Detecting, Combining and Filtering Isotope, Adduct and Homologue Series Relations in High-Resolution Mass Spectrometry (HRMS) Data
Description: Screening a HRMS data set for peaks related by (1) isotope patterns, (2) different adducts of the same molecule and/or (3) homologue series. The resulting isotopic pattern and adduct groups can then be combined to so-called components, with homologue series information attached. Also allows plotting and filtering HRMS data for mass defects, frequent m/z distances and components vs. non-components.
Author: Martin Loos
Maintainer: Martin Loos

Diff between nontarget versions 1.3 dated 2014-07-23 and 1.5 dated 2014-09-16

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New package nat.templatebrains with initial version 0.4.1
Package: nat.templatebrains
Type: Package
Title: NeuroAnatomy Toolbox (nat) Extension for Handling Template Brains
Version: 0.4.1
Date: 2014-09-13
Author: James Manton and Greg Jefferis
Maintainer: James Manton
Description: Extends package nat (NeuroAnatomy Toolbox) by providing objects and functions for handling template brains.
License: GPL-3
Depends: R (>= 2.10), rgl, nat (>= 1.5.9)
Suggests: testthat
Packaged: 2014-09-16 11:16:57 UTC; jefferis
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-16 18:40:27

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New package fRegression with initial version 3011.81
Package: fRegression
Title: Rmetrics - Regression Based Decision and Prediction
Date: 2013-12-17
Version: 3011.81
Author: Rmetrics Core Team, Diethelm Wuertz [aut], Tobias Setz [cre] Yohan Chalabi [ctb]
Maintainer: Tobias Setz
Description: Environment for teaching "Financial Engineering and Computational Finance".
Depends: R (>= 2.15.1), timeDate, timeSeries, fBasics
Imports: lmtest, mgcv, nnet, polspline
Suggests: methods, MASS, RUnit
Note: SEVERAL PARTS ARE STILL PRELIMINARY AND MAY BE CHANGED IN THE FUTURE. THIS TYPICALLY INCLUDES FUNCTION AND ARGUMENT NAMES, AS WELL AS DEFAULTS FOR ARGUMENTS AND RETURN VALUES.
LazyData: yes
License: GPL (>= 2)
URL: http://www.rmetrics.org
Packaged: 2014-09-16 10:08:42 UTC; Tobi
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-16 18:40:22

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New package UPMASK with initial version 1.0
Package: UPMASK
Type: Package
Title: Unsupervised Photometric Membership Assignment in Stellar Clusters
Version: 1.0
Date: 2014-09-15
Author: Alberto Krone-Martins, Andre Moitinho
Maintainer: Alberto Krone-Martins
Description: An implementation of the UPMASK method for performing membership assignment in stellar clusters in R. It is prepared to use photometry and spatial positions, but it can take into account other types of data. The method is able to take into account arbitrary error models, and it is unsupervised, data-driven, physical-model-free and relies on as few assumptions as possible. The approach followed for membership assessment is based on an iterative process, principal component analysis, a clustering algorithm and a kernel density estimation.
Depends: R (>= 3.0)
License: GPL (>= 3)
Imports: parallel, MASS, RSQLite, DBI
NeedsCompilation: no
Packaged: 2014-09-16 09:32:25 UTC; brain
Repository: CRAN
Date/Publication: 2014-09-16 12:28:13

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Package RcmdrPlugin.NMBU updated to version 1.7.4 with previous version 1.7.3 dated 2014-06-30

Title: R Commander Plug-In for Statistics at NMBU
Description: This package provides an Rcmdr "plug-in" extending some functions of linear models and providing an interface to PLS, LDA and QDA.
Author: Kristian Hovde Liland, Solve Sæbø
Maintainer: Kristian Hovde Liland

Diff between RcmdrPlugin.NMBU versions 1.7.3 dated 2014-06-30 and 1.7.4 dated 2014-09-16

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New package polidata with initial version 0.1.0
Package: polidata
Type: Package
Title: Political Data Interface in R
Description: This package provides easy access to various political data APIs directly from R. For example, you can access Google Civic Information API (https://developers.google.com/civic-information/) or Sunlight Congress API (https://sunlightlabs.github.io/congress/) for US Congress data, and POPONG API (http://data.popong.com/) for South Korea National Assembly data.
Version: 0.1.0
Date: 2014-06-13
Authors@R: c(person("Eunjeong", "Park", role = c("aut", "cre"), email = "ejpark04@snu.ac.kr"), person("Jong Hee", "Park", role = "aut", email = "jongheepark@snu.ac.kr"))
Maintainer: Eunjeong Park
License: MIT + file LICENSE
Imports: jsonlite, RCurl
Suggests: knitr
URL: http://github.com/e9t/polidata-r
BugReports: https://github.com/e9t/polidata-r/issues
VignetteBuilder: knitr
Packaged: 2014-09-16 06:57:36 UTC; e9t
Author: Eunjeong Park [aut, cre], Jong Hee Park [aut]
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-16 11:58:04

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Package mixlm updated to version 1.0.6 with previous version 1.0.5 dated 2014-06-29

Title: Mixed model ANOVA and statistics for education
Description: The main functions mask call to mixed models by least squares or REML by adding r() function to formulas of lm and glm. It also has a collection of text book statistics for higher education.
Author: Kristian Hovde Liland, Solve Sæbø
Maintainer: Kristian Hovde Liland

Diff between mixlm versions 1.0.5 dated 2014-06-29 and 1.0.6 dated 2014-09-16

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Package mclust updated to version 4.4 with previous version 4.3 dated 2014-03-31

Title: Normal Mixture Modeling for Model-Based Clustering, Classification, and Density Estimation
Description: Normal Mixture Modeling fitted via EM algorithm for Model-Based Clustering, Classification, and Density Estimation, including Bayesian regularization.
Author: Chris Fraley, Adrian Raftery and Luca Scrucca
Maintainer: Luca Scrucca

Diff between mclust versions 4.3 dated 2014-03-31 and 4.4 dated 2014-09-16

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Package LiblineaR updated to version 1.80-10 with previous version 1.80-7 dated 2013-06-24

Title: Linear Predictive Models Based On The liblinear C/C++ Library.
Description: LiblineaR is a wrapper around the liblinear C/C++ library for machine learning. liblinear is a linear classifier for data with millions of instances and features. It supports L2-regularized classifiers (such as L2-loss linear SVM, L1-loss linear SVM, and logistic regression) as well as L1-regularized classifiers (such as L2-loss linear SVM and logistic regression). The main features of LiblineaR include multi-class classification (one-vs-the rest, and Crammer & Singer method), cross validation for model selection, probability estimates (logistic regression only) or weights for unbalanced data. The estimation of the models is particularly fast as compared to other libraries. For more information on the C/C++ liblinear library itself, refer to R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, and C.-J. Lin. liblinear: A Library for Large Linear Classification, Journal of Machine Learning Research 9(2008), 1871-1874, available at http://www.csie.ntu.edu.tw/~cjlin/liblinear . The two first blocks of the package version indicates which version of liblinear is currently supported by LiblineaR. For example: 1.32-14 means that the package supports the version 1.32 of liblinear.
Author: Thibault Helleputte ; Pierre Gramme
Maintainer: Thibault Helleputte

Diff between LiblineaR versions 1.80-7 dated 2013-06-24 and 1.80-10 dated 2014-09-16

 DESCRIPTION              |   37 +++++++++----------------------------
 MD5                      |   18 +++++++++---------
 NEWS                     |   28 ++++++++++++++++++++++++++++
 R/LiblineaR.R            |   35 ++++++++++++++++++-----------------
 R/predict.R              |    3 ++-
 README                   |    2 +-
 man/LiblineaR.Rd         |    4 ++--
 man/predict.LiblineaR.Rd |    4 ++--
 src/linear.cpp           |   25 +++++++++++++++++++------
 src/trainLinear.c        |   19 ++++++++++++++++---
 10 files changed, 106 insertions(+), 69 deletions(-)

More information about LiblineaR at CRAN
Permanent link

Package hypergea updated to version 1.2.3 with previous version 1.2.1 dated 2014-09-09

Title: Hypergeometric tests
Description: Performs (exact) hypergeometric tests on IxJ and 2x2x2 contingency tables using parallelised C code
Author: Markus Boenn
Maintainer: Markus Boenn

Diff between hypergea versions 1.2.1 dated 2014-09-09 and 1.2.3 dated 2014-09-16

 DESCRIPTION              |   10 ++--
 MD5                      |   20 ++++-----
 R/hypergea-internal.R    |   15 ++++---
 R/hypergeom.test.R       |   23 +++++++----
 inst/NEWS.Rd             |   17 ++++++++
 man/getExpectedValues.Rd |    2 
 man/getMargins.Rd        |    4 -
 man/hypergea-package.Rd  |   12 +----
 man/hypergeom.test.Rd    |   11 ++---
 src/hypergeom_2x2x2.cpp  |   36 +++++++++++------
 src/hypergeom_IxJ.cpp    |   96 +++++++++++++++++++++++++++++++++++++----------
 11 files changed, 167 insertions(+), 79 deletions(-)

More information about hypergea at CRAN
Permanent link

Package PerformanceAnalytics updated to version 1.4.3541 with previous version 1.1.0 dated 2013-01-29

Title: Econometric tools for performance and risk analysis
Description: Collection of econometric functions for performance and risk analysis. This package aims to aid practitioners and researchers in utilizing the latest research in analysis of non-normal return streams. In general, it is most tested on return (rather than price) data on a regular scale, but most functions will work with irregular return data as well, and increasing numbers of functions will work with P&L or price data where possible.
Author: Brian G. Peterson [cre, aut, cph], Peter Carl [aut, cph], Kris Boudt [ctb, cph], Ross Bennett [ctb], Joshua Ulrich [ctb], Eric Zivot [ctb], Matthieu Lestel [ctb], Kyle Balkissoon [ctb], Diethelm Wuertz [ctb]
Maintainer: Brian G. Peterson

Diff between PerformanceAnalytics versions 1.1.0 dated 2013-01-29 and 1.4.3541 dated 2014-09-16

 PerformanceAnalytics-1.1.0/PerformanceAnalytics/ChangeLog                                                              |only
 PerformanceAnalytics-1.1.0/PerformanceAnalytics/R/Return.index.R                                                       |only
 PerformanceAnalytics-1.1.0/PerformanceAnalytics/R/Return.wealthindex.R                                                 |only
 PerformanceAnalytics-1.1.0/PerformanceAnalytics/R/decomposeMVaR.R                                                      |only
 PerformanceAnalytics-1.1.0/PerformanceAnalytics/R/expectedShortFallFunctions.r                                         |only
 PerformanceAnalytics-1.1.0/PerformanceAnalytics/R/rCornishFisher.r                                                     |only
 PerformanceAnalytics-1.1.0/PerformanceAnalytics/R/valueAtRiskFunctions.r                                               |only
 PerformanceAnalytics-1.1.0/PerformanceAnalytics/codeblock.txt                                                          |only
 PerformanceAnalytics-1.1.0/PerformanceAnalytics/data/edhec.csv.bz2                                                     |only
 PerformanceAnalytics-1.1.0/PerformanceAnalytics/data/managers.csv.bz2                                                  |only
 PerformanceAnalytics-1.1.0/PerformanceAnalytics/inst/doc/PerformanceAnalyticsGraphicalExamples.pdf                     |only
 PerformanceAnalytics-1.1.0/PerformanceAnalytics/inst/doc/Rlogo.jpg                                                     |only
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/DESCRIPTION                                                         |   66 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/MD5                                                                 |  618 +-
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/NAMESPACE                                                           |  697 +--
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/NEWS                                                                |   41 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/ActivePremium.R                                                   |   37 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/AdjustedSharpeRatio.R                                             |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/AppraisalRatio.R                                                  |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/BernadoLedoitratio.R                                              |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/BurkeRatio.R                                                      |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/CAPM.alpha.R                                                      |   23 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/CAPM.beta.R                                                       |   28 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/CAPM.dynamic.R                                                    |only
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/CAPM.epsilon.R                                                    |   20 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/CAPM.jensenAlpha.R                                                |   19 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/CAPM.utils.R                                                      |   31 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/CalmarRatio.R                                                     |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/CoMoments.R                                                       |   23 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/DRatio.R                                                          |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/DownsideDeviation.R                                               |   14 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/DownsideFrequency.R                                               |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/DrawdownPeak.R                                                    |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/Drawdowns.R                                                       |    4 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/ES.R                                                              |   12 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/FamaBeta.R                                                        |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/Frequency.R                                                       |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/HerfindahlIndex.R                                                 |    2 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/HurstIndex.R                                                      |   76 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/InformationRatio.R                                                |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/Kappa.R                                                           |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/KellyRatio.R                                                      |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/M2Sortino.R                                                       |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/MSquared.R                                                        |   10 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/MSquaredExcess.R                                                  |   19 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/MarketTiming.R                                                    |only
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/MartinRatio.R                                                     |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/MeanAbsoluteDeviation.R                                           |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/Modigliani.R                                                      |only
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/MultivariateMoments.R                                             |   71 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/NetSelectivity.R                                                  |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/Omega.R                                                           |    8 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/OmegaExcessReturn.R                                               |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/OmegaSharpeRatio.R                                                |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/PainIndex.R                                                       |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/PainRatio.R                                                       |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/PortfolioRisk.R                                                   |   11 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/ProspectRatio.R                                                   |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/Return.Geltner.R                                                  |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/Return.annualized.R                                               |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/Return.annualized.excess.R                                        |only
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/Return.calculate.R                                                |   12 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/Return.clean.R                                                    |   12 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/Return.cumulative.R                                               |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/Return.excess.R                                                   |   10 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/Return.portfolio.R                                                |  657 +-
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/Return.read.R                                                     |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/Return.relative.R                                                 |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/Selectivity.R                                                     |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/SemiDeviation.R                                                   |    4 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/SharpeRatio.R                                                     |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/SharpeRatio.annualized.R                                          |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/SkewnessKurtosisRatio.R                                           |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/SmoothingIndex.R                                                  |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/SortinoRatio.R                                                    |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/SpecificRisk.R                                                    |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/StdDev.R                                                          |    8 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/StdDev.annualized.R                                               |    9 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/SystematicRisk.R                                                  |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/TotalRisk.R                                                       |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/TrackingError.R                                                   |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/TreynorRatio.R                                                    |   18 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/UlcerIndex.R                                                      |    4 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/UpDownRatios.R                                                    |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/UpsideFrequency.R                                                 |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/UpsidePotentialRatio.R                                            |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/UpsideRisk.R                                                      |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/VaR.Marginal.R                                                    |    4 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/VaR.R                                                             |   23 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/VolatilitySkewness.R                                              |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/apply.fromstart.R                                                 |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/apply.rolling.R                                                   |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/chart.ACF.R                                                       |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/chart.ACFplus.R                                                   |    4 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/chart.Bar.R                                                       |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/chart.BarVaR.R                                                    |   11 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/chart.Boxplot.R                                                   |    9 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/chart.CaptureRatios.R                                             |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/chart.Correlation.R                                               |   16 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/chart.CumReturns.R                                                |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/chart.Drawdown.R                                                  |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/chart.ECDF.R                                                      |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/chart.Events.R                                                    |   11 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/chart.Histogram.R                                                 |   24 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/chart.QQPlot.R                                                    |    8 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/chart.Regression.R                                                |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/chart.RelativePerformance.R                                       |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/chart.RiskReturnScatter.R                                         |   18 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/chart.RollingCorrelation.R                                        |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/chart.RollingMean.R                                               |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/chart.RollingPerformance.R                                        |    8 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/chart.RollingQuantileRegression.R                                 |   10 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/chart.RollingRegression.R                                         |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/chart.Scatter.R                                                   |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/chart.SnailTrail.R                                                |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/chart.StackedBar.R                                                |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/chart.TimeSeries.R                                                |   32 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/chart.VaRSensitivity.R                                            |   12 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/charts.Bar.R                                                      |    4 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/charts.BarVaR.R                                                   |    4 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/charts.PerformanceSummary.R                                       |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/charts.RollingPerformance.R                                       |   12 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/charts.RollingRegression.R                                        |    4 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/charts.TimeSeries.R                                               |    4 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/checkData.R                                                       |   12 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/findDrawdowns.R                                                   |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/kurtosis.R                                                        |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/legend.R                                                          |   41 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/lpm.R                                                             |only
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/maxDrawdown.R                                                     |   68 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/mean.utils.R                                                      |   14 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/na.skip.R                                                         |    4 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/replaceTabs.R                                                     |    4 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/skewness.R                                                        |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/sortDrawdowns.R                                                   |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/table.AnnualizedReturns.R                                         |   13 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/table.Arbitrary.R                                                 |    9 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/table.Autocorrelation.R                                           |   12 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/table.CAPM.R                                                      |   64 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/table.CalendarReturns.R                                           |   15 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/table.CaptureRatios.R                                             |   16 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/table.Correlation.R                                               |   11 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/table.Distributions.R                                             |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/table.DownsideRisk.R                                              |   11 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/table.DownsideRiskRatio.R                                         |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/table.Drawdowns.R                                                 |   11 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/table.DrawdownsRatio.R                                            |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/table.HigherMoments.R                                             |   11 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/table.InformationRatio.R                                          |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/table.MonthlyReturns.R                                            |   10 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/table.ProbOutperformance.R                                        |only
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/table.RollingPeriods.R                                            |   14 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/table.SpecificRisk.R                                              |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/table.UpDownRatios.R                                              |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/table.Variability.R                                               |    6 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/textplot.R                                                        |   24 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/zerofill.R                                                        |   24 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/R/zzz.R                                                             |   15 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/build                                                               |only
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/data/edhec.csv.gz                                                   |only
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/data/edhec.rda                                                      |binary
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/data/managers.csv.gz                                                |only
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/data/managers.rda                                                   |binary
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/data/portfolio_bacon.rda                                            |binary
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/data/prices.rda                                                     |binary
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/data/weights.rda                                                    |binary
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/inst/doc/PA-Bacon.R                                                 |only
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 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/inst/doc/textplotPresentation-CRUG-2011.pdf                         |binary
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/ActivePremium.Rd                                                |   43 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/AdjustedSharpeRatio.Rd                                          |   35 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/AppraisalRatio.Rd                                               |   67 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/AverageDrawdown.Rd                                              |   23 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/AverageLength.Rd                                                |only
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/AverageRecovery.Rd                                              |only
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/BernardoLedoitRatio.Rd                                          |   34 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/BetaCoMoments.Rd                                                |  208 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/BurkeRatio.Rd                                                   |   51 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/CAPM.RiskPremium.Rd                                             |  160 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/CAPM.alpha.Rd                                                   |   44 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/CAPM.beta.Rd                                                    |  101 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/CAPM.dynamic.Rd                                                 |only
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/CAPM.epsilon.Rd                                                 |   45 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/CAPM.jensenAlpha.Rd                                             |   44 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/CDD.Rd                                                          |   48 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/CalmarRatio.Rd                                                  |   75 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/CoMoments.Rd                                                    |  130 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/DRatio.Rd                                                       |   48 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/DownsideDeviation.Rd                                            |  193 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/DownsideFrequency.Rd                                            |   40 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/DrawdownDeviation.Rd                                            |   16 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/DrawdownPeak.Rd                                                 |   18 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/ES.Rd                                                           |  199 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/FamaBeta.Rd                                                     |   34 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/Frequency.Rd                                                    |   18 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/HurstIndex.Rd                                                   |only
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/InformationRatio.Rd                                             |   40 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/Kappa.Rd                                                        |   65 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/KellyRatio.Rd                                                   |   59 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/M2Sortino.Rd                                                    |   40 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/MSquared.Rd                                                     |   42 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/MSquaredExcess.Rd                                               |   50 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/MarketTiming.Rd                                                 |only
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/MartinRatio.Rd                                                  |   37 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/MeanAbsoluteDeviation.Rd                                        |   33 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/Modigliani.Rd                                                   |only
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/NetSelectivity.Rd                                               |   38 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/Omega.Rd                                                        |  131 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/OmegaExcessReturn.Rd                                            |   40 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/OmegaSharpeRatio.Rd                                             |   43 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/PainIndex.Rd                                                    |   47 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/PainRatio.Rd                                                    |   36 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/PerformanceAnalytics-package.Rd                                 |   10 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/ProspectRatio.Rd                                                |   34 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/Return.Geltner.Rd                                               |   79 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/Return.annualized.Rd                                            |   53 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/Return.annualized.excess.Rd                                     |only
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/Return.calculate.Rd                                             |   88 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/Return.clean.Rd                                                 |   65 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/Return.cumulative.Rd                                            |   33 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/Return.excess.Rd                                                |   52 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/Return.portfolio.Rd                                             |  189 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/Return.read.Rd                                                  |   89 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/Return.relative.Rd                                              |   22 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/Selectivity.Rd                                                  |   33 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/SharpeRatio.Rd                                                  |  116 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/SharpeRatio.annualized.Rd                                       |   73 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/SkewnessKurtosisRatio.Rd                                        |   33 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/SmoothingIndex.Rd                                               |  186 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/SortinoRatio.Rd                                                 |   78 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/SpecificRisk.Rd                                                 |   27 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/StdDev.Rd                                                       |  129 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/StdDev.annualized.Rd                                            |   72 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/SystematicRisk.Rd                                               |   44 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/TotalRisk.Rd                                                    |   35 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/TrackingError.Rd                                                |   45 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/TreynorRatio.Rd                                                 |   65 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/UlcerIndex.Rd                                                   |   50 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/UpDownRatios.Rd                                                 |   66 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/UpsideFrequency.Rd                                              |   40 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/UpsidePotentialRatio.Rd                                         |  142 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/UpsideRisk.Rd                                                   |   81 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/VaR.Rd                                                          |  237 -
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/VolatilitySkewness.Rd                                           |   51 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/apply.fromstart.Rd                                              |   33 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/apply.rolling.Rd                                                |   47 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/centeredmoments.Rd                                              |  105 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/chart.ACF.Rd                                                    |   59 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/chart.Bar.Rd                                                    |   57 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/chart.BarVaR.Rd                                                 |  187 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/chart.Boxplot.Rd                                                |  109 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/chart.CaptureRatios.Rd                                          |  108 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/chart.Correlation.Rd                                            |   41 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/chart.CumReturns.Rd                                             |   67 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/chart.Drawdown.Rd                                               |   52 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/chart.ECDF.Rd                                                   |   77 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/chart.Events.Rd                                                 |   74 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/chart.Histogram.Rd                                              |  185 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/chart.QQPlot.Rd                                                 |  138 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/chart.Regression.Rd                                             |  117 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/chart.RelativePerformance.Rd                                    |   78 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/chart.RiskReturnScatter.Rd                                      |  133 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/chart.RollingCorrelation.Rd                                     |   51 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/chart.RollingMean.Rd                                            |   47 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/chart.RollingPerformance.Rd                                     |   58 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/chart.RollingRegression.Rd                                      |  100 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/chart.Scatter.Rd                                                |   85 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/chart.SnailTrail.Rd                                             |  124 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/chart.StackedBar.Rd                                             |  185 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/chart.TimeSeries.Rd                                             |  205 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/chart.VaRSensitivity.Rd                                         |  103 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/charts.PerformanceSummary.Rd                                    |  125 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/charts.RollingPerformance.Rd                                    |   49 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/checkData.Rd                                                    |   40 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/clean.boudt.Rd                                                  |  218 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/edhec.Rd                                                        |    1 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/findDrawdowns.Rd                                                |   61 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/kurtosis.Rd                                                     |   94 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/legend.Rd                                                       |  195 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/lpm.Rd                                                          |only
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/maxDrawdown.Rd                                                  |   79 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/mean.geometric.Rd                                               |   39 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/portfolio_bacon.Rd                                              |    1 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/prices.Rd                                                       |    1 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/skewness.Rd                                                     |   71 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/sortDrawdowns.Rd                                                |   43 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/table.AnnualizedReturns.Rd                                      |   45 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/table.Arbitrary.Rd                                              |  142 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/table.Autocorrelation.Rd                                        |   45 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/table.CAPM.Rd                                                   |   59 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/table.CalendarReturns.Rd                                        |   49 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/table.CaptureRatios.Rd                                          |   44 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/table.Correlation.Rd                                            |   30 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/table.Distributions.Rd                                          |   32 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/table.DownsideRisk.Rd                                           |   49 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/table.DownsideRiskRatio.Rd                                      |   41 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/table.Drawdowns.Rd                                              |   58 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/table.DrawdownsRatio.Rd                                         |   37 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/table.HigherMoments.Rd                                          |   60 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/table.InformationRatio.Rd                                       |   32 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/table.MonthlyReturns.Rd                                         |   36 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/table.ProbOutPerformance.Rd                                     |only
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/table.RollingPeriods.Rd                                         |   61 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/table.SpecificRisk.Rd                                           |   29 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/table.Variability.Rd                                            |   37 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/textplot.Rd                                                     |  240 -
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/weights.Rd                                                      |    1 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/man/zerofill.Rd                                                     |   18 
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/src                                                                 |only
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/tests/Examples/PerformanceAnalytics-Ex.Rout.save                    | 2192 +++-------
 PerformanceAnalytics-1.4.3541/PerformanceAnalytics/vignettes                                                           |only
 326 files changed, 6849 insertions(+), 8550 deletions(-)

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New package smoother with initial version 1.0.0.0
Package: smoother
Type: Package
Title: Smoother
Version: 1.0.0.0
Date: 2014-09-13
Author: Nicholas Hamilton
Maintainer: Nicholas Hamilton
Description: A port of the matlab gaussian window smoothing function
License: GPL-2
Collate: 'smoother-package.R' 'functions.R' 'smth-gaussian.R' 'smth.R'
Packaged: 2014-09-16 03:57:42 UTC; nick
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-16 07:34:01

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New package m4fe with initial version 0.1
Package: m4fe
Title: Models for Financial Economics
Version: 0.1
Author: Nathan Esau
Maintainer: Nathan Esau
Description: Provides binomial tree models for European, American and Asian Options as well as Interest Rates. Monte Carlo Simulation and Methods for Solving Differential Equations are also included.
Depends: R (>= 3.1.0)
License: GPL-2
LazyData: true
Packaged: 2014-09-16 02:40:33 UTC; nate
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-16 07:33:58

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Package SSDforR updated to version 1.4.7 with previous version 1.4.6 dated 2014-07-30

Title: SSD for R to analyze single system data
Description: Package to visually and statistically analyze single system data
Author: Charles Auerbach,PHD Wendy Zeitlin Schudrich,PHD Wurzweiler School of Social Work
Maintainer: Charles Auerbach

Diff between SSDforR versions 1.4.6 dated 2014-07-30 and 1.4.7 dated 2014-09-16

 DESCRIPTION           |   12 +--
 MD5                   |  166 +++++++++++++++++++++++++-------------------------
 NAMESPACE             |    5 +
 R/ABma.R              |    3 
 R/ABrobust.R          |    3 
 R/Arimama.R           |    3 
 R/Arobust.R           |    3 
 R/RobustCDCabove.R    |    3 
 R/RobustCDCbelow.R    |    3 
 R/robregabove.R       |    3 
 R/robregbelow.R       |    3 
 man/ABWilcox.Rd       |    5 +
 man/ABanova.Rd        |    3 
 man/ABarrow.Rd        |    3 
 man/ABautoacf.Rd      |    3 
 man/ABbinomial.Rd     |    2 
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 man/GABrf2.Rd         |    2 
 man/GABttest.Rd       |    5 +
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 man/listnames.rd      |    5 +
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 man/robustCDCabove.Rd |    4 -
 man/robustCDCbelow.Rd |    4 -
 man/sd1bandgraph.rd   |    5 +
 man/sd2bandgraph.rd   |    5 +
 man/trimabove.Rd      |    5 +
 man/trimbelow.Rd      |    5 +
 84 files changed, 362 insertions(+), 159 deletions(-)

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Package ncdf4 updated to version 1.13 with previous version 1.12 dated 2014-06-19

Title: Interface to Unidata netCDF (version 4 or earlier) format data files
Description: This package provides a high-level R interface to data files written using Unidata's netCDF library (version 4 or earlier), which are binary data files that are portable across platforms and include metadata information in addition to the data sets. Using this package, netCDF files (either version 4 or "classic" version 3) can be opened and data sets read in easily. It is also easy to create new netCDF dimensions, variables, and files, in either version 3 or 4 format, and manipulate existing netCDF files. This package replaces the former ncdf package, which only worked with netcdf version 3 files. For various reasons the names of the functions have had to be changed from the names in the ncdf package. The old ncdf package is still available at the URL given below, if you need to have backward compatibility. It should be possible to have both the ncdf and ncdf4 packages installed simultaneously without a problem. However, the ncdf package does not provide an interface for netcdf version 4 files.
Author: David Pierce
Maintainer: David Pierce

Diff between ncdf4 versions 1.12 dated 2014-06-19 and 1.13 dated 2014-09-16

 DESCRIPTION                   |    8 ++---
 MD5                           |   16 +++++-----
 R/ncdf4.R                     |   23 ++++++---------
 R/ncdf4_priv_att.R            |   63 +++++++++++++++++++++---------------------
 R/ncdf4_priv_var.R            |   18 ++++++------
 configure                     |   58 +++++++++++++++++++++++++++++++++-----
 tools/autom4te.cache/output.0 |   58 +++++++++++++++++++++++++++++++++-----
 tools/autom4te.cache/output.1 |   58 +++++++++++++++++++++++++++++++++-----
 tools/configure.in            |   58 +++++++++++++++++++++++++++++++++-----
 9 files changed, 264 insertions(+), 96 deletions(-)

More information about ncdf4 at CRAN
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