Sun, 27 Mar 2016

Package R.matlab updated to version 3.5.1 with previous version 3.5.0 dated 2016-03-06

Title: Read and Write MAT Files and Call MATLAB from Within R
Description: Methods readMat() and writeMat() for reading and writing MAT files. For user with MATLAB v6 or newer installed (either locally or on a remote host), the package also provides methods for controlling MATLAB (trademark) via R and sending and retrieving data between R and MATLAB.
Author: Henrik Bengtsson [aut, cre, cph], Andy Jacobson [ctb] (Internal MAT v4 reader), Jason Riedy [ctb] (Support for reading compressed files, sparse matrices and UTF-encoded strings.)
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package quantspec updated to version 1.2-1 with previous version 1.2-0 dated 2015-10-20

Title: Quantile-Based Spectral Analysis of Time Series
Description: Methods to determine, smooth and plot quantile periodograms for univariate and multivariate time series.
Author: Tobias Kley [aut, cre], Stefan Birr [ctb] (Contributions to lag window estimation)
Maintainer: Tobias Kley <t.kley@lse.ac.uk>

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Package altmeta updated to version 2.0 with previous version 1.0 dated 2016-02-29

Title: Alternative Meta-Analysis Methods
Description: Provides alternative statistical methods for meta-analysis, including new heterogeneity tests and measures that are robust to outliers, and measures of publication bias.
Author: Lifeng Lin and Haitao Chu
Maintainer: Lifeng Lin <linl@umn.edu>

Diff between altmeta versions 1.0 dated 2016-02-29 and 2.0 dated 2016-03-27

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Package rprojroot updated to version 1.0-1 with previous version 1.0 dated 2016-03-26

Title: Finding Files in Project Subdirectories
Description: Robust, reliable and flexible paths to files below a project root. The 'root' of a project is defined as a directory that matches a certain criterion, e.g., it contains a certain regular file.
Author: Kirill Müller [aut, cre]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

Diff between rprojroot versions 1.0 dated 2016-03-26 and 1.0-1 dated 2016-03-27

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Package InSilicoVA updated to version 1.1.1 with previous version 1.1 dated 2016-03-10

Title: Probabilistic Verbal Autopsy Coding with 'InSilicoVA' Algorithm
Description: Computes individual causes of death and population cause-specific mortality fractions using the 'InSilicoVA' algorithm. It uses data derived from verbal autopsy (VA) interviews, in a format similar to the input of the widely used 'InterVA4' method. This package provides general model fitting and customization for 'InSilicoVA' algorithm and basic graphical visualization of the output.
Author: Zehang Li, Tyler McCormick, Sam Clark
Maintainer: Zehang Li <lizehang@uw.edu>

Diff between InSilicoVA versions 1.1 dated 2016-03-10 and 1.1.1 dated 2016-03-27

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New package Gmedian with initial version 1.0
Package: Gmedian
Type: Package
Title: Geometric Median, k-Median Clustering and Robust Median PCA
Version: 1.0
Date: 2016-03-20
Author: Herve Cardot
Maintainer: Herve Cardot <herve.cardot@u-bourgogne.fr>
Description: Fast algorithms based on averaged stochastic gradient for robust estimation with large samples (with data whose dimension is larger than 2). Estimation of the geometric median, robust k-Gmedian clustering, and robust PCA based on the Gmedian covariation matrix.
License: GPL (>= 2)
Depends: R (>= 3.0.2), rARPACK
Imports: Rcpp (>= 0.12.3)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2016-03-27 16:42:23 UTC; cami
Repository: CRAN
Date/Publication: 2016-03-27 19:42:51

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Package expands updated to version 1.7.1 with previous version 1.7 dated 2016-03-26

Title: Expanding Ploidy and Allele-Frequency on Nested Subpopulations
Description: Expanding Ploidy and Allele Frequency on Nested Subpopulations (expands) characterizes coexisting subpopulations in a single tumor sample using copy number and allele frequencies derived from exome- or whole genome sequencing input data (http://www.ncbi.nlm.nih.gov/pubmed/24177718). The model detects coexisting genotypes by leveraging run-specific tradeoffs between depth of coverage and breadth of coverage. This package predicts the number of clonal expansions, the size of the resulting subpopulations in the tumor bulk, the mutations specific to each subpopulation, tumor purity and phylogeny. The main function runExPANdS() provides the complete functionality needed to predict coexisting subpopulations from single nucleotide variations (SNVs) and associated copy numbers. The robustness of subpopulation predictions increases with the number of mutations provided. It is recommended that at least 200 mutations are used as input to obtain stable results. Updates in version 1.7 include: (1) Higher subpopulation detection specificity, in particular for small subpopulations. (2) Higher accuracy for mutation assignment to subpopulations. (3) Whenever possible, SNVs are assigned not only to the subpopulation in which they first occurred, but also to descending subpopulations. (4) Two additional output files are created: subpopulation specific ploidy matrix and a summary file of all detected subpopulations, including information on the inferred ancestor and the closest descendant of each subpopulation. (5) New subpopulation plotting options (function plotSPs). (6) New phylogeny plotting option: user can choose between consensus and germline population to be included as control. (7) 50 simulated samples of various genetic complexities and measurement precision included for user testing. Special thanks to Dr. Ryan Morin for his contributions that have led to higher accuracy measures during simulations for mutation assignment to subpopulations, as well as advanced visualization features of assigned mutations. Further documentation and FAQ available at http://dna-discovery.stanford.edu/software/expands.
Author: Noemi Andor
Maintainer: Noemi Andor <expands.r@gmail.com>

Diff between expands versions 1.7 dated 2016-03-26 and 1.7.1 dated 2016-03-27

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Package blocksdesign updated to version 2.1 with previous version 2.0 dated 2016-02-07

Title: Nested Block Designs for Unstructured Treatments
Description: Constructs nested and crossed block designs for unstructured treatment sets with arbitrary replication not necessarily all equal. Blocks can be nested to any required depth of nesting and blocks are optimized hierarchically from the top down with successive nested blocks strata optimized within the levels of all preceding blocks strata. Block sizes are all equal in any one stratum if the number of blocks in that stratum exactly divides the number of plots, otherwise they differ by at most one plot. The design output is a data table showing a randomised allocation of treatments to blocks together with plans showing the allocation of treatments to blocks for each block in the bottom stratum of the design. D and A-efficiency factors are shown for each stratum together with A-efficiency upper bounds, where available.
Author: R. N. Edmondson
Maintainer: Rodney Edmondson <rodney.edmondson@gmail.com>

Diff between blocksdesign versions 2.0 dated 2016-02-07 and 2.1 dated 2016-03-27

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Package Tariff updated to version 1.0.2 with previous version 1.0.1 dated 2016-03-08

Title: Replicate Tariff Method for Verbal Autopsy
Description: Implement the Tariff algorithm for coding cause-of-death from verbal autopsies. The Tariff method was originally proposed in James et al (2011) <DOI:10.1186/1478-7954-9-31> and later refined as Tariff 2.0 in Serina, et al. (2015) <DOI:10.1186/s12916-015-0527-9>. Note that this package was not developed by authors affiliated with the Institute for Health Metrics and Evaluation and thus unintentional discrepancies may exist between the this implementation and the implementation available from IHME.
Author: Zehang Li, Tyler McCormick, Sam Clark
Maintainer: Zehang Li <lizehang@uw.edu>

Diff between Tariff versions 1.0.1 dated 2016-03-08 and 1.0.2 dated 2016-03-27

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Package simPH updated to version 1.3.7 with previous version 1.3.5 dated 2015-12-15

Title: Tools for Simulating and Plotting Quantities of Interest Estimated from Cox Proportional Hazards Models
Description: Simulates and plots quantities of interest (relative hazards, first differences, and hazard ratios) for linear coefficients, multiplicative interactions, polynomials, penalised splines, and non-proportional hazards, as well as stratified survival curves from Cox Proportional Hazard models. It also simulates and plots marginal effects for multiplicative interactions.
Author: Christopher Gandrud [aut, cre]
Maintainer: Christopher Gandrud <christopher.gandrud@gmail.com>

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Package shinyjs updated to version 0.5.2 with previous version 0.5.0 dated 2016-03-19

Title: Perform Common JavaScript Operations in Shiny Apps using Plain R Code
Description: Perform common JavaScript operations in Shiny applications without having to know any JavaScript. Examples include: hiding an element, disabling an input, resetting an input back to its original value, delaying code execution by a few seconds, and many more useful functions. 'shinyjs' also includes a colour picker widget, a colour picker RStudio addin, and can also be used to easily run your own custom JavaScript functions from R.
Author: Dean Attali [aut, cre]
Maintainer: Dean Attali <daattali@gmail.com>

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Package RobPer updated to version 1.2.2 with previous version 1.2.1 dated 2015-03-02

Title: Robust Periodogram and Periodicity Detection Methods
Description: Calculates periodograms based on (robustly) fitting periodic functions to light curves (irregularly observed time series, possibly with measurement accuracies, occurring in astroparticle physics). Three main functions are included: RobPer() calculates the periodogram. Outlying periodogram bars (indicating a period) can be detected with betaCvMfit(). Artificial light curves can be generated using the function tsgen(). For more details see the corresponding article: Thieler, Fried and Rathjens (2016), Journal of Statistical Software 69(9), 1-36, <doi:10.18637/jss.v069.i09>.
Author: Anita M. Thieler [aut], Jonathan Rathjens [aut, cre], Roland Fried [aut], Brenton R. Clarke [ctb] (function betaCvMfit()), Uwe Ligges [ctb] (function TK95()), Matias Salibian-Barrera [ctb] (functions FastS() and FastTau()), Gert Willems [ctb] (function FastTau()), Victor Yohai [ctb] (function FastS())
Maintainer: Jonathan Rathjens <jonathan.rathjens@tu-dortmund.de>

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Package rgdal updated to version 1.1-7 with previous version 1.1-3 dated 2015-12-21

Title: Bindings for the Geospatial Data Abstraction Library
Description: Provides bindings to Frank Warmerdam's Geospatial Data Abstraction Library (GDAL) (>= 1.6.3) and access to projection/transformation operations from the PROJ.4 library. The GDAL and PROJ.4 libraries are external to the package, and, when installing the package from source, must be correctly installed first. Both GDAL raster and OGR vector map data can be imported into R, and GDAL raster data and OGR vector data exported. Use is made of classes defined in the sp package. Windows and Mac Intel OS X binaries (including GDAL, PROJ.4 and Expat) are provided on CRAN.
Author: Roger Bivand [cre, aut], Tim Keitt [aut], Barry Rowlingson [aut], Edzer Pebesma [ctb], Michael Sumner [ctb], Robert Hijmans [ctb], Even Rouault [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

Diff between rgdal versions 1.1-3 dated 2015-12-21 and 1.1-7 dated 2016-03-27

 ChangeLog                       |   59 ++++++++++++++++++++++++++++++++++++++++
 DESCRIPTION                     |   10 +++---
 MD5                             |   44 ++++++++++++++---------------
 NAMESPACE                       |    2 -
 R/ogr.R                         |   17 ++---------
 R/ogr_sp.R                      |   46 +++++++++++++++++--------------
 R/ogr_write.R                   |   10 ++++++
 build/vignette.rds              |binary
 configure                       |   18 ++++++------
 inst/ChangeLog                  |   59 ++++++++++++++++++++++++++++++++++++++++
 inst/SVN_VERSION                |    2 -
 inst/doc/OGR_shape_encoding.pdf |binary
 inst/pictures/Rlogo.jpg         |binary
 inst/pictures/logo.jpg          |binary
 man/readOGR.Rd                  |   16 ++++++----
 man/showWKT.Rd                  |    5 +++
 man/writeOGR.Rd                 |    7 ++++
 src/Makevars.in                 |    1 
 src/Makevars.win                |    2 -
 src/init.c                      |    1 
 src/ogr_proj.cpp                |   27 ++++++++++++++++++
 src/ogrsource.cpp               |   13 +++++---
 src/rgdal.h                     |    1 
 23 files changed, 253 insertions(+), 87 deletions(-)

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Package rebmix updated to version 2.8.1 with previous version 2.8.0 dated 2016-03-25

Title: Finite Mixture Modeling, Clustering & Classification
Description: R functions for random univariate and multivariate finite mixture model generation, estimation, clustering and classification. Variables can be continuous, discrete, independent or dependent and may follow normal, lognormal, Weibull, gamma, binomial, Poisson or Dirac parametric families.
Author: Marko Nagode [aut, cre]
Maintainer: Marko Nagode <marko.nagode@fs.uni-lj.si>

Diff between rebmix versions 2.8.0 dated 2016-03-25 and 2.8.1 dated 2016-03-27

 DESCRIPTION          |    6 +++---
 MD5                  |   32 ++++++++++++++++----------------
 R/AllClasses.R       |    3 ++-
 R/RCLRMIX.R          |    2 +-
 R/RCLSMIX.R          |    2 +-
 R/REBMIX.R           |    2 +-
 R/RNGMIX.R           |    2 +-
 inst/NEWS.Rd         |    6 ++++++
 inst/doc/rebmix.R    |    8 ++++----
 inst/doc/rebmix.Rnw  |   10 +++++-----
 inst/doc/rebmix.pdf  |binary
 src/base.cpp         |    2 +-
 src/rebmixf.cpp      |    2 +-
 src/rebmvnormf.cpp   |    6 +++---
 src/rngmixf.cpp      |    2 +-
 vignettes/rebmix.Rnw |   10 +++++-----
 vignettes/rebmix.bib |    4 ++--
 17 files changed, 53 insertions(+), 46 deletions(-)

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Package PAC updated to version 1.0.1 with previous version 1.0.0 dated 2016-03-25

Title: Partition-Assisted Clustering
Description: Implements Partition-Assisted Clustering, which utilizes a collection of partition based nonparametric density estimation techniques to improve the robustness and accuracy of downstream clustering. The package also provides functions for effectively visualizing the clustering results. It is particularly useful for finding and visualizing subpopulations in single-cell data analysis.
Author: Dangna Li, Henry Li
Maintainer: Dangna Li <ldangna@gmail.com>

Diff between PAC versions 1.0.0 dated 2016-03-25 and 1.0.1 dated 2016-03-27

 DESCRIPTION  |    6 +++---
 MD5          |    6 +++---
 R/PAC.R      |    1 +
 configure.ac |   17 +++++++++++++++++
 4 files changed, 24 insertions(+), 6 deletions(-)

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Package ggseas updated to version 0.4.0 with previous version 0.3.0 dated 2016-03-14

Title: 'stats' for Seasonal Adjustment on the Fly with 'ggplot2'
Description: Provides 'ggplot2' 'stats' that estimate seasonally adjusted series and rolling summaries such as rolling average on the fly for time series.
Author: Peter Ellis [aut, cre], Christophe Sax [ctb]
Maintainer: Peter Ellis <peter.ellis2013nz@gmail.com>

Diff between ggseas versions 0.3.0 dated 2016-03-14 and 0.4.0 dated 2016-03-27

 DESCRIPTION            |   14 ++++++++----
 MD5                    |   21 ++++++++++--------
 R/decompose-seasonal.R |   25 +++++++++++++++++----
 R/ggsdc.R              |   56 +++++++++++++++++++++++++++++++++----------------
 R/stl-seasonal.R       |   24 ++++++++++++++++-----
 R/x13-seasonal.R       |   53 +++++++++++++++++++++++++++++++++++++---------
 man/ggsdc.Rd           |   17 +++++++-------
 man/stat_decomp.Rd     |   14 ++++++------
 man/stat_seas.Rd       |   29 ++++++++++++++++---------
 man/stat_stl.Rd        |   12 +++++-----
 tests                  |only
 11 files changed, 182 insertions(+), 83 deletions(-)

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New package fmrs with initial version 1.0-5
Package: fmrs
Type: Package
Title: Variable Selection in Finite Mixture of AFT Regression and FMR
Version: 1.0-5
Date: 2016-03-25
Author: Farhad Shokoohi <shokoohi@icloud.com>
Maintainer: Farhad Shokoohi <shokoohi@icloud.com>
Depends: R (>= 3.2.4)
Imports: methods, stats
Description: Provides parameter estimation as well as variable selection in Finite Mixture of Accelerated Failure Time Regression Models and Finite Mixture of Regression models. It also provides the Ridge regression and Elastic Net.
biocViews: Survival, Regression, DimensionReduction
License: GPL (>= 3)
LazyData: TRUE
Suggests: knitr, utils
VignetteBuilder: knitr
RoxygenNote: 5.0.1
BugReports: https://github.com/shokoohi/fmrs/issues
NeedsCompilation: yes
Packaged: 2016-03-26 21:45:49 UTC; Farhad
Repository: CRAN
Date/Publication: 2016-03-27 18:24:32

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New package estatapi with initial version 0.2
Package: estatapi
Type: Package
Title: R Interface to e-Stat API
Version: 0.2
Date: 2016-03-27
Authors@R: person("Hiroaki", "Yutani", email = "yutani.ini@gmail.com", role = c("aut", "cre"))
Description: Provides an interface to e-Stat API, the one-stop service for official statistics of the Japanese government.
License: MIT + file LICENSE
LazyData: TRUE
Depends: R (>= 3.1.2)
Imports: httr, dplyr, purrr(>= 0.2), readr
RoxygenNote: 5.0.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2016-03-27 16:14:32 UTC; yutani
Author: Hiroaki Yutani [aut, cre]
Maintainer: Hiroaki Yutani <yutani.ini@gmail.com>
Repository: CRAN
Date/Publication: 2016-03-27 18:22:22

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New package ergm.ego with initial version 0.3.0
Package: ergm.ego
Version: 0.3.0
Date: 2016-03-26
Title: Fit, Simulate and Diagnose Exponential-Family Random Graph Models to Egocentrically Sampled Network Data
Authors@R: c( person("Pavel N.", "Krivitsky", role=c("aut","cre"), email="pavel@uow.edu.au"), person("Steven M.", "Goodreau", role=c("ctb"), email="goodreau@u.washington.edu"), person("Martina", "Morris", role=c("ctb"), email="morrism@u.washington.edu"), person("Kirk", "Li", role=c("ctb"), email="kirkli@uw.edu"), person("Emily N.", "Beylerian", role=c("ctb"), email="ebey@uw.edu"))
Depends: ergm (>= 3.5), network
Imports: statnet.common, coda, RColorBrewer
Description: Utilities for managing egocentrically sampled network data and a wrapper around the 'ergm' package to facilitate ERGM inference and simulation from such data.
License: GPL-3 + file LICENSE
URL: http://www.statnet.org
NeedsCompilation: no
Packaged: 2016-03-27 01:10:02 UTC; pavel
Author: Pavel N. Krivitsky [aut, cre], Steven M. Goodreau [ctb], Martina Morris [ctb], Kirk Li [ctb], Emily N. Beylerian [ctb]
Maintainer: Pavel N. Krivitsky <pavel@uow.edu.au>
Repository: CRAN
Date/Publication: 2016-03-27 17:53:32

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Package DataCombine updated to version 0.2.20 with previous version 0.2.19 dated 2016-03-07

Title: Tools for Easily Combining and Cleaning Data Sets
Description: Tools for combining and cleaning data sets, particularly with grouped and time series data.
Author: Christopher Gandrud [aut, cre]
Maintainer: Christopher Gandrud <christopher.gandrud@gmail.com>

Diff between DataCombine versions 0.2.19 dated 2016-03-07 and 0.2.20 dated 2016-03-27

 DESCRIPTION   |   10 +++++-----
 MD5           |   16 ++++++++--------
 NAMESPACE     |    1 +
 NEWS          |    9 +++++++++
 R/DropNA.R    |   10 +++++++++-
 R/slide.R     |    7 +++----
 R/utils.R     |   15 ++++++++++-----
 man/DropNA.Rd |    6 +++++-
 man/dMerge.Rd |    7 ++++---
 9 files changed, 54 insertions(+), 27 deletions(-)

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