Mon, 27 Jan 2014

New package rTensor with initial version 1.0
Package: rTensor
Type: Package
Title: Tools for tensor analysis and decomposition
Version: 1.0
Authors@R: c(person("James", "Li", role = c("aut", "cre"), email = "jamesyili@gmail.com"), person("Jacob", "Bien", role = "aut"), person("Martin", "Wells", role= "aut"), person("D.", "Andrews", role = "ctb"), person("A.", "Barua", role = "ctb") )
Maintainer: James Li
Description: rTensor is a set of tools for creation, manipulation, and modeling of tensors with arbitrary number of modes. A tensor in the context of data analysis is a multidimensional array. rTensor does this by providing a S4 class 'Tensor' that wraps around the base 'array' class. rTensor also provides common tensor operations as methods, including matrix unfolding, summing/averaging across modes, calculating the Frobenius norm, and taking the inner product between two tensors. Familiar array operations are overloaded, such as index subsetting via '[' and element-wise operations. rTensor also implements various tensor decomposition, including CP, GLRAM, MPCA, PVD, and Tucker. For tensors with 3 modes, rTensor also implements transpose, product, and SVD, as defined in Kilmer et al. (2013). Some auxiliary functions include the Khatri-Rao product, Kronecker product, and the Hamadard product for a list of matrices. Development of rTensor has been generously supported by Cornell's Department of Statistical Science.
License: GPL (>= 2)
Date: 2014-01-27
URL: http://jamesyili.github.io/rTensor
Depends: methods
Collate: 'rTensor_Class.R' 'rTensor_Decomp.R' 'rTensor_Misc.R'
Packaged: 2014-01-27 22:06:07 UTC; jamesyili
Author: James Li [aut, cre], Jacob Bien [aut], Martin Wells [aut], D. Andrews [ctb], A. Barua [ctb]
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-01-28 00:32:21

More information about rTensor at CRAN
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Package MergeGUI updated to version 0.2-1 with previous version 0.1-1 dated 2011-06-20

Title: A GUI for Merging Datasets in R
Description: A GUI for merging datasets in R using gWidgets.
Author: Xiaoyue Cheng, Dianne Cook, Heike Hofmann
Maintainer: Xiaoyue Cheng

Diff between MergeGUI versions 0.1-1 dated 2011-06-20 and 0.2-1 dated 2014-01-27

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Package markdown updated to version 0.6.4 with previous version 0.6.3 dated 2013-07-29

Title: Markdown rendering for R
Description: Markdown is a plain-text formatting syntax that can be converted to XHTML or other formats. This package provides R bindings to the Sundown markdown rendering library.
Author: JJ Allaire, Jeffrey Horner, Vicent Marti, and Natacha Porte
Maintainer: Yihui Xie

Diff between markdown versions 0.6.3 dated 2013-07-29 and 0.6.4 dated 2014-01-27

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Package AssetPricing updated to version 0.1-2 with previous version 0.1-0 dated 2013-08-13

Title: Optimal pricing of assets with fixed expiry date.
Description: Calculates the optimal price of assets (such as airline flight seats, hotel room bookings) whose value becomes zero after a fixed ``expiry date''. Assumes potential customers arrive (possibly in groups) according to a known inhomogeneous Poisson process. Also assumes a known time-varying elasticity of demand (price sensitivity) function. Uses elementary techniques based on ordinary differential equations. Uses the package deSolve to effect the solution of these differential equations.
Author: Rolf Turner
Maintainer: Rolf Turner

Diff between AssetPricing versions 0.1-0 dated 2013-08-13 and 0.1-2 dated 2014-01-27

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Package synchrony updated to version 0.2.1 with previous version 0.2 dated 2014-01-21

Title: Methods for computing spatial, temporal, and spatiotemporal statistics
Description: Methods for computing spatial, temporal, and spatiotemporal statistics including: empirical univariate, bivariate and multivariate variograms; fitting variogram models; phase locking and synchrony analysis; generating autocorrelated and cross-correlated matrices.
Author: Tarik C. Gouhier
Maintainer: Tarik C. Gouhier

Diff between synchrony versions 0.2 dated 2014-01-21 and 0.2.1 dated 2014-01-27

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Package pitchRx updated to version 1.0 with previous version 0.7 dated 2013-11-13

Title: Tools for Harnessing MLBAM Gameday data and Visualizing PITCHf/x
Description: With pitchRx, one can easily obtain Major League Baseball Advanced Media's Gameday data (as well as store it in a remote database). The Gameday website hosts a wealth of data in XML format, but perhaps most interesting is PITCHf/x. Among other things, PITCHf/x data can be used to recreate a baseball's flight path from a pitcher's hand to home plate. With pitchRx, one can easily create animations and interactive 3D scatterplots of the baseball's flight path. PITCHf/x data is also commonly used to generate a static plot of baseball locations at the moment they cross home plate. These plots, sometimes called strike-zone plots, can also refer to a plot of event probabilities over the same region. pitchRx provides an easy and robust way to generate strike-zone plots using the ggplot2 package.
Author: Carson Sievert
Maintainer: Carson Sievert

Diff between pitchRx versions 0.7 dated 2013-11-13 and 1.0 dated 2014-01-27

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Package lmomco updated to version 1.8.1 with previous version 1.7.9 dated 2013-12-03

Title: L-moments, Censored L-moments, Trimmed L-moments, L-comoments, and Many Distributions
Description: The package is a comparatively comprehensive implementation of the theory of L-moments. L-moment, probability-weighted moment (PWM), and parameter estimation for numerous familiar and not-so-familiar distributions are provided. L-moment estimate for the same distributions are provided. L-moments are analogous to product moments; however, L-moments have many advantages including unbiasedness, robustness, and consistency. L-moments can outperform maximum likelihood for small to moderate samples. The package originally was originally oriented around circa 1996-FORTRAN algorithms by Hosking, and the nomenclature parallels that of Hosking. The Hosking algorithms later became available in the lmom package. However, vast extensions, components, concepts, more distributions, L-moment curiosities, and research topics are added. Such extensions the Sen weighted mean, Gini mean difference, plotting positions, and conditional probability adjustments. L-moment ratio diagrams are supported. L-moment support for right-tail and left-tail censoring by known or unknown censoring threshold and also by indicator variable. Asymmetric trimmed L-moments are supported as are numerical integration to dynamically compute trajectories of select TL-moment ratios for the construction of TL-moment ratio diagrams. L-moments have multi-variate analogs; the sample L-comoments are implemented and might have considerable application with copulas because L-comoments measure asymmetric association and higher comoments or comovements of variables. Support exists for exact analytical boot-strap estimates of order statistics, L-moments, and variances-covariances of L-moments. The Harri-Coble Tau34-squared Test for Normality using sample L-skew and L-kurtosis is available. Support for the following distributions, with moment type shown as "L" (L-moments) or "TL" (trimmed L-moments) and additional support for right-tail censoring ([RC]) include, is available: Asymmetric Exponential Power (L), Cauchy (TL), Eta-Mu (L), Exponential (L), Gamma (L), Generalized Extreme Value (L), Generalized Lambda (L & TL), Generalized Logistic (L), Generalized Normal (L), Generalized Pareto (L[RC] & TL), Gumbel (L), Kappa (L), Kappa-Mu (L), Kumaraswamy (L), Laplace (L), Normal (L), 3-parameter log-Normal (L), Pearson Type III (L), Rayleigh (L), Reverse Gumbel (L[RC]), Rice/Rician (L), Truncated Exponential (L), Wakeby (L), and Weibull (L).
Author: William Asquith
Maintainer: William Asquith

Diff between lmomco versions 1.7.9 dated 2013-12-03 and 1.8.1 dated 2014-01-27

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 283 files changed, 1270 insertions(+), 1095 deletions(-)

More information about lmomco at CRAN
Permanent link

New package in2extRemes with initial version 1.0
Package: in2extRemes
Version: 1.0
Date: August 22 2013
Title: Into the extRemes Package.
Author: Eric Gilleland
Maintainer: Eric Gilleland
Depends: R (>= 2.15.1), tcltk, extRemes (>= 2.0)
Description: This package provides a Graphical User Interface (GUI) to some of the functions in the package extRemes version >= 2.0.
License: GPL (>= 2)
URL: http://www.assessment.ucar.edu/toolkit/
Packaged: 2014-01-27 17:33:46 UTC; ericg
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-01-27 21:00:56

More information about in2extRemes at CRAN
Permanent link

New package dualScale with initial version 0.9.1
Package: dualScale
Type: Package
Title: Dual Scaling Analysis of Multiple Choice Data
Version: 0.9.1
Date: 2014-01-27
Author: Jose G. Clavel, Shizuiko Nishisato and Antonio Pita
Maintainer: Jose G. Clavel
Description: Functions to analyze multiple choice data using Dual Scaling
License: GPL-2
Depends: matrixcalc, ff, vcd, lattice, Matrix
Packaged: 2014-01-27 16:48:06 UTC; Yo
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-01-27 21:00:54

More information about dualScale at CRAN
Permanent link

New package DEoptimR with initial version 1.0-0
Package: DEoptimR
Version: 1.0-0
Date: 2013-12-07
Title: Differential Evolution Optimization in pure R
Author: Eduardo L. T. Conceicao and Martin Maechler [ctb]
Maintainer: Eduardo L. T. Conceicao
Description: An implementation of the jDE variant of the Differential Evolution stochastic algorithm for global optimization of nonlinear programming problems.
Enhances: robustbase
License: GPL (>= 2)
ByteCompile: yes
Repository: CRAN
Repository/R-Forge/Project: robustbase
Repository/R-Forge/Revision: 553
Repository/R-Forge/DateTimeStamp: 2014-01-25 21:52:36
Date/Publication: 2014-01-27 21:00:51
Packaged: 2014-01-25 23:36:40 UTC; rforge
NeedsCompilation: no

More information about DEoptimR at CRAN
Permanent link

Package pbdSLAP updated to version 0.1-7 with previous version 0.1-6 dated 2013-07-05

Title: Programming with Big Data -- Scalable Linear Algebra Packages
Description: pbdSLAP utilizes scalable linear algebra packages mainly including BLACS, PBLAS, and ScaLAPACK in double precision via pbdMPI based on ScaLAPACK version 2.0.2.
Author: Wei-Chen Chen [aut, cre], Drew Schmidt [aut], George Ostrouchov [aut], Pragneshkumar Patel [aut]
Maintainer: Wei-Chen Chen

Diff between pbdSLAP versions 0.1-6 dated 2013-07-05 and 0.1-7 dated 2014-01-27

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 pbdSLAP-0.1-7/pbdSLAP/ChangeLog                                        |    9 ++
 pbdSLAP-0.1-7/pbdSLAP/DESCRIPTION                                      |   23 ++---
 pbdSLAP-0.1-7/pbdSLAP/INSTALL                                          |   45 ++++++++++
 pbdSLAP-0.1-7/pbdSLAP/MD5                                              |   35 +++----
 pbdSLAP-0.1-7/pbdSLAP/R/get_conf.r                                     |    9 +-
 pbdSLAP-0.1-7/pbdSLAP/R/zzz.r                                          |    6 -
 pbdSLAP-0.1-7/pbdSLAP/README                                           |    2 
 pbdSLAP-0.1-7/pbdSLAP/cleanup                                          |    1 
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 pbdSLAP-0.1-7/pbdSLAP/inst/doc/pbdSLAP-guide.Rnw                       |   17 ++-
 pbdSLAP-0.1-7/pbdSLAP/inst/doc/pbdSLAP-guide.pdf                       |binary
 pbdSLAP-0.1-7/pbdSLAP/man/00_pbdSLAP-package.Rd                        |    1 
 pbdSLAP-0.1-7/pbdSLAP/src/Makevars.win                                 |    8 +
 pbdSLAP-0.1-7/pbdSLAP/src/REDIST/pgemraux.c                            |    2 
 pbdSLAP-0.1-7/pbdSLAP/src/SLmake.inc.win                               |    2 
 pbdSLAP-0.1-7/pbdSLAP/vignettes/pbdSLAP-guide.Rnw                      |   17 ++-
 pbdSLAP-0.1-7/pbdSLAP/vignettes/pbdSLAP-include/01-acknowledgement.tex |    2 
 21 files changed, 127 insertions(+), 52 deletions(-)

More information about pbdSLAP at CRAN
Permanent link

Package pbdMPI updated to version 0.2-2 with previous version 0.2-1 dated 2013-09-27

Title: Programming with Big Data -- Interface to MPI
Description: pbdMPI provides an efficient interface to MPI by utilizing S4 classes and methods with a focus on Single Program/Multiple Data (SPMD) parallel programming style, which is intended for batch parallel execution.
Author: Wei-Chen Chen [aut, cre], George Ostrouchov [aut], Drew Schmidt [aut], Pragneshkumar Patel [aut], Hao Yu [aut], Christian Heckendorf [ctb], Brian Ripley [ctb]
Maintainer: Wei-Chen Chen

Diff between pbdMPI versions 0.2-1 dated 2013-09-27 and 0.2-2 dated 2014-01-27

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 pbdMPI-0.2-2/pbdMPI/ChangeLog                                            |   39 +
 pbdMPI-0.2-2/pbdMPI/DESCRIPTION                                          |   30 -
 pbdMPI-0.2-2/pbdMPI/INSTALL                                              |    4 
 pbdMPI-0.2-2/pbdMPI/MD5                                                  |  258 +++++-----
 pbdMPI-0.2-2/pbdMPI/NAMESPACE                                            |   34 -
 pbdMPI-0.2-2/pbdMPI/R/api_lapply.r                                       |   22 
 pbdMPI-0.2-2/pbdMPI/R/api_sapply.r                                       |   15 
 pbdMPI-0.2-2/pbdMPI/R/api_task_pull.r                                    |  142 +++++
 pbdMPI-0.2-2/pbdMPI/R/api_tool.r                                         |    6 
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 pbdMPI-0.2-2/pbdMPI/R/comm_seed.r                                        |   72 ++
 pbdMPI-0.2-2/pbdMPI/R/comm_sort.r                                        |    2 
 pbdMPI-0.2-2/pbdMPI/R/comm_tool.r                                        |   33 +
 pbdMPI-0.2-2/pbdMPI/R/comm_which.r                                       |only
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 pbdMPI-0.2-2/pbdMPI/R/get_winmpi.r                                       |only
 pbdMPI-0.2-2/pbdMPI/R/spmd_communicator.r                                |   93 +--
 pbdMPI-0.2-2/pbdMPI/R/spmd_communicator_spawn.r                          |only
 pbdMPI-0.2-2/pbdMPI/R/spmd_tool.r                                        |    2 
 pbdMPI-0.2-2/pbdMPI/R/windows/zzz.r                                      |   67 +-
 pbdMPI-0.2-2/pbdMPI/R/zzz.r.in                                           |   61 +-
 pbdMPI-0.2-2/pbdMPI/README                                               |    2 
 pbdMPI-0.2-2/pbdMPI/cleanup                                              |    1 
 pbdMPI-0.2-2/pbdMPI/configure                                            |  225 ++------
 pbdMPI-0.2-2/pbdMPI/configure.ac                                         |   68 ++
 pbdMPI-0.2-2/pbdMPI/data/control.r                                       |    4 
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 pbdMPI-0.2-2/pbdMPI/demo/00Index                                         |    2 
 pbdMPI-0.2-2/pbdMPI/demo/allgather.r                                     |    2 
 pbdMPI-0.2-2/pbdMPI/demo/allreduce.r                                     |    2 
 pbdMPI-0.2-2/pbdMPI/demo/any_all.r                                       |    2 
 pbdMPI-0.2-2/pbdMPI/demo/bcast.r                                         |    2 
 pbdMPI-0.2-2/pbdMPI/demo/divide.r                                        |    2 
 pbdMPI-0.2-2/pbdMPI/demo/gather.r                                        |    2 
 pbdMPI-0.2-2/pbdMPI/demo/pbdApply.r                                      |    2 
 pbdMPI-0.2-2/pbdMPI/demo/pbdLapply.r                                     |    2 
 pbdMPI-0.2-2/pbdMPI/demo/reduce.r                                        |    2 
 pbdMPI-0.2-2/pbdMPI/demo/scatter.r                                       |    2 
 pbdMPI-0.2-2/pbdMPI/demo/seed.r                                          |   20 
 pbdMPI-0.2-2/pbdMPI/demo/simple_balance.r                                |only
 pbdMPI-0.2-2/pbdMPI/demo/simple_io.r                                     |only
 pbdMPI-0.2-2/pbdMPI/demo/sort.r                                          |    2 
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 pbdMPI-0.2-2/pbdMPI/inst/doc/pbdMPI-guide.Rnw                            |   27 -
 pbdMPI-0.2-2/pbdMPI/inst/doc/pbdMPI-guide.pdf                            |binary
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_cs/named.client.r                 |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_cs/named.server.r                 |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_cs/simple.client.r                |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_cs/simple.server.r                |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_long_vector/allgather.r           |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_long_vector/allreduce.r           |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_long_vector/bcast.r               |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_long_vector/gather.r              |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_long_vector/reduce.r              |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_long_vector/scatter.r             |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_long_vector/send_recv.r           |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_parallel/01_mclapply_spmd.r       |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_parallel/02_parMM_spmd.r          |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_parallel/03_boot_spmd.r           |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_parallel/04_glm_spmd.r            |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_performance/demo_allgather_spmd.r |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_performance/demo_scatter_spmd.r   |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_rmpi/allgather_spmd.r             |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_rmpi/allgatherv_spmd.r            |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_rmpi/allreduce_spmd.r             |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_rmpi/bcast_spmd.r                 |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_rmpi/gather_spmd.r                |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_rmpi/reduce_spmd.r                |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_rmpi/scatter_spmd.r               |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_rmpi/scatterv_spmd.r              |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_rmpi/sendrecv_spmd.r              |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_s4/01_simple.r                    |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_s4/02_mean.r                      |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_spmd/allgather.r                  |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_spmd/allreduce.r                  |    2 
 pbdMPI-0.2-2/pbdMPI/inst/examples/test_spmd/bcast.r                      |    2 
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 pbdMPI-0.2-2/pbdMPI/man/ab_send-method.Rd                                |    8 
 pbdMPI-0.2-2/pbdMPI/man/ac_irecv-method.Rd                               |   12 
 pbdMPI-0.2-2/pbdMPI/man/ac_isend-method.Rd                               |    8 
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Package epiR updated to version 0.9-56 with previous version 0.9-54 dated 2014-01-08

Title: An R package for the analysis of epidemiological data
Description: An R package for the analysis of epidemiological data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, and computing confidence intervals around incidence risk and incidence rate estimates. Miscellaneous functions for use in meta-analysis, diagnostic test interpretation, and sample size calculations.
Author: Mark Stevenson with contributions from Telmo Nunes, Cord Heuer, Jonathon Marshall, Javier Sanchez, Ron Thornton, Jeno Reiczigel, Jim Robison-Cox, Paola Sebastiani, Peter Solymos and Kazuki Yoshida
Maintainer: Mark Stevenson

Diff between epiR versions 0.9-54 dated 2014-01-08 and 0.9-56 dated 2014-01-27

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Package ebal updated to version 0.1-6 with previous version 0.1-5 dated 2013-10-16

Title: Entropy reweighting to create balanced samples
Description: Package implements entropy balancing, a data preprocessing procedure that allows users to reweight a dataset such that the covariate distributions in the reweighted data satisfy a set of user specified moment conditions. This can be useful to create balanced samples in observational studies with a binary treatment where the control group data can be reweighted to match the covariate moments in the treatment group. Entropy balancing can also be used to reweight a survey sample to known characteristics from a target population.
Author: Jens Hainmueller
Maintainer: Jens Hainmueller

Diff between ebal versions 0.1-5 dated 2013-10-16 and 0.1-6 dated 2014-01-27

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Package drgee updated to version 1.0.1 with previous version 1.0 dated 2013-12-19

Title: Doubly Robust Generalized Estimating Equations
Description: The package provides functions to estimate parameters quantifying an association between an exposure and an outcome in a generalized estimating equations model in the presence of nuisance variables. Three methods are implemented: outcome nuisance model based estimation where a model for the association between the nuisance factors and the outcome is assumed, exposure nuisance model based estimation where a model for the association between the nuisance factors and the exposure is assumed and doubly robust estimation where both models are used. In doubly robust estimation, the estimates will be consistent when at least one of the models are correctly specified, not necessarily both.
Author: Johan Zetterqvist , Arvid Sjölander with contributions from Alexander Ploner.
Maintainer: Johan Zetterqvist

Diff between drgee versions 1.0 dated 2013-12-19 and 1.0.1 dated 2014-01-27

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New package unbalanced with initial version 1.0
Package: unbalanced
Type: Package
Title: The package implements different data-driven method for unbalanced datasets
Version: 1.0
Date: 2014-01-27
Author: Andrea Dal Pozzolo
Maintainer: Andrea Dal Pozzolo
Description: A dataset is said to be unbalanced when the class of interest (minority class) is much rarer than normal behaviour (majority class). The cost of missing a minority class is typically much higher that missing a majority class. Most learning systems are not prepared to cope with unbalanced data. Proposed strategies essentially belong to the following categories: sampling and distance-based. Sampling techniques up-sample or down-sample a class of instances. SMOTE generates synthetic minority examples. Distance based techniques use distances between input points to under-sample or to remove noisy and borderline examples.
License: GPL (>= 2)
Depends: FNN, RANN
Packaged: 2014-01-27 11:46:58 UTC; Andrea
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-01-27 13:08:24

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Package seewave updated to version 1.7.3 with previous version 1.7.2 dated 2013-08-30

Title: Sound analysis and synthesis
Description: seewave provides functions for analysing, manipulating, displaying, editing and synthesizing time waves (particularly sound). This package processes time analysis (oscillograms and envelopes), spectral content, resonance quality factor, entropy, cross correlation and autocorrelation, zero-crossing, dominant frequency, analytic signal, frequency coherence, 2D and 3D spectrograms and many other analyses.
Author: Jerome Sueur , Thierry Aubin, Caroline Simonis
Maintainer: Jerome Sueur

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Package MetABEL updated to version 0.1-0 with previous version 0.0-3 dated 2011-02-10

Title: meta-analysis of genome-wide SNP association results
Description: A package for meta-analysis of genome-wide association scans between quantitative or binary traits and SNPs
Author: Maksim Struchalin, Yurii Aulchenko
Maintainer: L.C. Karssen

Diff between MetABEL versions 0.0-3 dated 2011-02-10 and 0.1-0 dated 2014-01-27

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New package aftgee with initial version 0.4-1
Package: aftgee
Type: Package
Title: Accelerated Failure Time Model with Generalized Estimating Equations
Version: 0.4-1
Date: 2014-01-26
Author: Sy Han (Steven) Chiou, Sangwook Kang, Jun Yan
Maintainer: Sy Han (Steven) Chiou
Description: This package features both rank-based estimates and least square estimates to the Accelerated Failure Time (AFT) model. For rank-based estimation, it provides approaches that include the computationally efficient Gehan's weight and the general's weight such as the logrank weight. For the least square estimation, the estimating equation is solved with Generalized Estimating Equations (GEE). Moreover, in multivariate cases, the dependence working correlation structure can be specified in GEE's setting.
License: GPL (>= 3)
Imports: MASS, BB, survival, geepack
LazyLoad: yes
Packaged: 2014-01-27 03:56:46 UTC; steven
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-01-27 12:55:39

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Package stsm updated to version 1.2 with previous version 1.1 dated 2014-01-26

Title: Structural Time Series Models
Description: This package provides algorithms to fit structural time series models by maximum likelihood.
Author: Javier López-de-Lacalle
Maintainer: Javier López-de-Lacalle

Diff between stsm versions 1.1 dated 2014-01-26 and 1.2 dated 2014-01-27

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Package seqminer updated to version 2.2 with previous version 2.0 dated 2013-11-20

Title: Efficiently Read Sequence Data (VCF format, BCF format and METAL format) into R
Description: Integrate sequencing data (VCF) or meta-analysis results in R
Author: Xiaowei Zhan and Dajiang Liu , with contributions of Jean-loup Gailly and Mark Adler (they wrote zlib and provide license so we include zlib source code), Julian Seward (this author wrote bzip2 and with BSD license we include bzip2 source codes) and Heng Li (this author wrote tabix and with MIT license we include tabix source codes).
Maintainer: Xiaowei Zhan

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Package RQuantLib updated to version 0.3.11 with previous version 0.3.10 dated 2013-02-18

Title: R interface to the QuantLib library
Description: The RQuantLib package makes parts of QuantLib visible to the R user. Currently a number option pricing functions are included, both vanilla and exotic, as well as a broad range of fixed-income functions. Also included are general calendaring and holiday utilities. Further software contributions are welcome. The QuantLib project aims to provide a comprehensive software framework for quantitative finance. The goal is to provide a standard open source library for quantitative analysis, modeling, trading, and risk management of financial assets. The Windows binary version is self-contained and does not require a QuantLib (or Boost) installation. RQuantLib uses the Rcpp R/C++ interface class library. See the Rcpp package on CRAN (or R-Forge) for more information on Rcpp. Note that while RQuantLib's code is licensed under the GPL (v2 or later), QuantLib itself is released under a somewhat less restrictive Open Source license (see QuantLib-License.txt).
Author: Dirk Eddelbuettel and Khanh Nguyen
Maintainer: Dirk Eddelbuettel

Diff between RQuantLib versions 0.3.10 dated 2013-02-18 and 0.3.11 dated 2014-01-27

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Package KFKSDS updated to version 1.3 with previous version 1.2 dated 2014-01-26

Title: Kalman Filter, Smoother and Disturbance Smoother
Description: Naive implementation of the Kalman filter, smoother and disturbance smoother for state space models. An interface to other implementations of the filter that are available in other packages is also provided.
Author: Javier López-de-Lacalle
Maintainer: Javier López-de-Lacalle

Diff between KFKSDS versions 1.2 dated 2014-01-26 and 1.3 dated 2014-01-27

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Package fmsb updated to version 0.4.3 with previous version 0.4.2 dated 2014-01-05

Title: Functions for medical statistics book with some demographic data
Description: Several utility functions for the book entitled "Practices of Medical and Health Data Analysis using R" (Pearson Education Japan, 2007) with Japanese demographic data and some demographic analysis related functions.
Author: Minato Nakazawa
Maintainer: Minato Nakazawa

Diff between fmsb versions 0.4.2 dated 2014-01-05 and 0.4.3 dated 2014-01-27

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