Mon, 22 Aug 2016

Package swfscMisc updated to version 1.2 with previous version 1.1 dated 2016-03-03

Title: Miscellaneous Functions for Southwest Fisheries Science Center
Description: Collection of conversion, analytical, geodesic, mapping, and plotting functions. Used to support packages and code written by researchers at the Southwest Fisheries Science Center of the National Oceanic and Atmospheric Administration.
Author: Eric Archer [aut, cre]
Maintainer: Eric Archer <eric.archer@noaa.gov>

Diff between swfscMisc versions 1.1 dated 2016-03-03 and 1.2 dated 2016-08-22

 swfscMisc-1.1/swfscMisc/NEWS.md                |only
 swfscMisc-1.2/swfscMisc/DESCRIPTION            |   20 ++++++++++++--------
 swfscMisc-1.2/swfscMisc/MD5                    |   16 ++++++++++------
 swfscMisc-1.2/swfscMisc/NAMESPACE              |   19 +++++++++++++++++++
 swfscMisc-1.2/swfscMisc/R/circle.polygon.R     |    8 --------
 swfscMisc-1.2/swfscMisc/R/plotAssignments.R    |only
 swfscMisc-1.2/swfscMisc/R/round.R              |only
 swfscMisc-1.2/swfscMisc/R/sample.map.R         |    5 +++--
 swfscMisc-1.2/swfscMisc/README.md              |only
 swfscMisc-1.2/swfscMisc/man/circle.polygon.Rd  |    8 --------
 swfscMisc-1.2/swfscMisc/man/plotAssignments.Rd |only
 swfscMisc-1.2/swfscMisc/man/round.Rd           |only
 12 files changed, 44 insertions(+), 32 deletions(-)

More information about swfscMisc at CRAN
Permanent link

Package ISOpureR updated to version 1.0.21 with previous version 1.0.20 dated 2016-07-23

Title: Deconvolution of Tumour Profiles
Description: Deconvolution of mixed tumour profiles into normal and cancer for each patient, using the ISOpure algorithm in Quon et al. Genome Medicine, 2013 5:29. Deconvolution requires mixed tumour profiles and a set of unmatched "basis" normal profiles.
Author: Gerald Quon [aut], Catalina V Anghel [aut, trl], Syed Haider [aut], Francis Nguyen [aut], Amit G Deshwar [aut], Quaid D Morris [aut], Paul C Boutros [aut, cre]
Maintainer: Paul C Boutros <Paul.Boutros@oicr.on.ca>

Diff between ISOpureR versions 1.0.20 dated 2016-07-23 and 1.0.21 dated 2016-08-22

 DESCRIPTION                 |    8 ++++----
 MD5                         |   10 +++++-----
 NEWS                        |    8 ++++++++
 inst/doc/ISOpureRGuide.Rnw  |   24 ++++++++++++++++++++----
 inst/doc/ISOpureRGuide.pdf  |binary
 vignettes/ISOpureRGuide.Rnw |   24 ++++++++++++++++++++----
 6 files changed, 57 insertions(+), 17 deletions(-)

More information about ISOpureR at CRAN
Permanent link

New package liqueueR with initial version 0.0.1
Package: liqueueR
Type: Package
Title: Implements Queue, PriorityQueue and Stack Classes
Version: 0.0.1
Authors@R: person("Andrew", "Collier", email = "andrew@exegetic.biz", role = c("aut", "cre"))
Description: Provides three classes: Queue, PriorityQueue and Stack. Queue is just a "plain vanilla" FIFO queue; PriorityQueue orders items according to priority. Stack implements LIFO.
URL: https://github.com/DataWookie/liqueueR
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: itertools, methods
Suggests: testthat, iterators
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-08-22 12:23:56 UTC; colliera
Author: Andrew Collier [aut, cre]
Maintainer: Andrew Collier <andrew@exegetic.biz>
Repository: CRAN
Date/Publication: 2016-08-22 19:53:24

More information about liqueueR at CRAN
Permanent link

New package cooccurNet with initial version 0.1.0
Package: cooccurNet
Type: Package
Title: Co-Occurrence Network
Version: 0.1.0
Depends: R (>= 3.2.0)
Imports: seqinr, igraph, bigmemory, Matrix, data.table, foreach
Author: Yuanqiang Zou <jerrytsou2001@gmail.com>, Yousong Peng <pys2013@hnu.edu.cn> and Taijiao Jiang <taijiao@moon.ibp.ac.cn>
Maintainer: Yuanqiang Zou <jerrytsou2001@gmail.com>
Description: Read and preprocess fasta format data, and construct the co-occurrence network for downstream analyses. This R package is to construct the co-occurrence network with the algorithm developed by Du (Du 2008). It could be used to transform the data with high-dimension, such as DNA or protein sequence, into co-occurrence networks. Co-occurrence network could not only capture the co-variation pattern between variables, such as the positions in DNA or protein sequences, but also reflect the relationship between samples. Although it is originally used in DNA and protein sequences, it could be also used to other kinds of data, such as SNP.
License: GPL-3
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-08-22 15:13:36 UTC; Jerry
Repository: CRAN
Date/Publication: 2016-08-22 20:43:40

More information about cooccurNet at CRAN
Permanent link

Package autoimage updated to version 0.3.1 with previous version 0.3.0 dated 2016-08-13

Title: Display Multiple Images with Scaled Colors
Description: Functions for displaying (multiple) images with scaled colors, possibly with projected coordinates and for an irregular grid.
Author: Joshua French
Maintainer: Joshua French <joshua.french@ucdenver.edu>

Diff between autoimage versions 0.3.0 dated 2016-08-13 and 0.3.1 dated 2016-08-22

 DESCRIPTION         |    8 ++++----
 MD5                 |   14 +++++++-------
 R/autoimage.R       |   26 ++++++++++++++------------
 R/legend.scale.R    |   20 ++++++++++++--------
 R/narccap.R         |    2 +-
 man/autoimage.Rd    |   42 ++++++++++++++++++++++--------------------
 man/legend.scale.Rd |   19 ++++++++++++-------
 man/narccap.Rd      |    2 +-
 8 files changed, 73 insertions(+), 60 deletions(-)

More information about autoimage at CRAN
Permanent link

Package timelineS updated to version 0.1.1 with previous version 0.1.0 dated 2016-08-16

Title: Timeline and Time Duration-Related Tools
Description: An easy tool for plotting annotated timelines, grouped timelines, and exploratory graphics (boxplot/histogram/density plot/scatter plot/line plot). Filter, summarize date data by duration and convert to calendar units.
Author: Dahee Lee [aut, cre], Dustin Tingley [aut]
Maintainer: Dahee Lee <dhlee99@gmail.com>

Diff between timelineS versions 0.1.0 dated 2016-08-16 and 0.1.1 dated 2016-08-22

 DESCRIPTION         |   10 ++--
 MD5                 |   36 +++++++-------
 R/durCalc.R         |   83 +++++++++++++++++++---------------
 R/durPlot.R         |  126 ++++++++++++++++++++++++++--------------------------
 R/durSummary.R      |   30 ++++++------
 R/life_country.R    |    2 
 R/life_exp.R        |    2 
 R/mj_life.R         |    2 
 R/timelineG.R       |   35 +++++++++-----
 R/timelineS.R       |   46 ++++++++++--------
 README.md           |   40 ++++++++++------
 man/durCalc.Rd      |   17 ++++---
 man/durPlot.Rd      |   25 +++++-----
 man/durSummary.Rd   |    6 +-
 man/life_country.Rd |    2 
 man/life_exp.Rd     |    2 
 man/mj_life.Rd      |    2 
 man/timelineG.Rd    |   19 +++++--
 man/timelineS.Rd    |    6 ++
 19 files changed, 273 insertions(+), 218 deletions(-)

More information about timelineS at CRAN
Permanent link

Package sdcTable updated to version 0.21.6 with previous version 0.21.5 dated 2016-05-20

Title: Methods for Statistical Disclosure Control in Tabular Data
Description: Methods for statistical disclosure control in tabular data such as primary and secondary cell suppression are covered in this package.
Author: Bernhard Meindl
Maintainer: Bernhard Meindl <bernhard.meindl@statistik.gv.at>

Diff between sdcTable versions 0.21.5 dated 2016-05-20 and 0.21.6 dated 2016-08-22

 DESCRIPTION           |   10 ++++----
 MD5                   |   10 ++++----
 NAMESPACE             |    1 
 R/classes.r           |    2 +
 R/helper_functions.r  |   61 ++++++++++++++++++--------------------------------
 inst/doc/sdcTable.pdf |binary
 6 files changed, 35 insertions(+), 49 deletions(-)

More information about sdcTable at CRAN
Permanent link

Package robCompositions updated to version 2.0.2 with previous version 2.0.0 dated 2016-02-08

Title: Robust Estimation for Compositional Data
Description: Methods for analysis of compositional data including robust methods, imputation, methods to replace rounded zeros, (robust) outlier detection for compositional data, (robust) principal component analysis for compositional data, (robust) factor analysis for compositional data, (robust) discriminant analysis for compositional data (Fisher rule), robust regression with compositional predictors and (robust) Anderson-Darling normality tests for compositional data as well as popular log-ratio transformations (addLR, cenLR, isomLR, and their inverse transformations). In addition, visualisation and diagnostic tools are implemented as well as high and low-level plot functions for the ternary diagram.
Author: Matthias Templ, Karel Hron, Peter Filzmoser
Maintainer: Matthias Templ <templ@tuwien.ac.at>

Diff between robCompositions versions 2.0.0 dated 2016-02-08 and 2.0.2 dated 2016-08-22

 DESCRIPTION                           |   11 -
 MD5                                   |   93 ++++++----
 NAMESPACE                             |   31 +++
 NEWS                                  |   15 +
 R/aDist.R                             |   48 +++--
 R/addLR.R                             |    4 
 R/adjust.R                            |    8 
 R/adtest.R                            |    2 
 R/balZav.R                            |only
 R/biplot.factanal.R                   |   19 --
 R/clustCoDa.R                         |only
 R/clustCoDa_qmode.R                   |only
 R/compareMahal.R                      |    4 
 R/corCoDa.R                           |only
 R/daCoDa.R                            |only
 R/daFisher.R                          |   40 ++--
 R/dataSets.R                          |  218 +++++++++++++++++++++++-
 R/imputeBDLs.R                        |   40 +++-
 R/isomLR.R                            |   46 ++++-
 R/pcaCoDa.R                           |   84 +++++++--
 R/pfa.R                               |   15 +
 R/plot.pcaCoDa.R                      |   34 ---
 R/variation.R                         |    2 
 data/ageCatWorld.rda                  |only
 data/alcohol.rda                      |only
 data/alcoholreg.rda                   |only
 data/election.rda                     |only
 data/payments.rda                     |only
 data/production.rda                   |only
 inst/doc/imputation.R                 |   21 +-
 inst/doc/imputation.Rnw               |   98 ++++++-----
 inst/doc/imputation.pdf               |binary
 inst/doc/robCompositions-overview.pdf |binary
 man/aDist.Rd                          |   29 +--
 man/ageCatWorld.Rd                    |only
 man/alcohol.Rd                        |only
 man/alcoholreg.Rd                     |only
 man/balZav.Rd                         |only
 man/biplot.factanal.Rd                |   16 -
 man/clustCoDa.Rd                      |only
 man/clustCoDa_qmode.Rd                |only
 man/corCoDa.Rd                        |only
 man/daCoDa.Rd                         |only
 man/daFisher.Rd                       |    2 
 man/economy.Rd                        |    3 
 man/election.Rd                       |only
 man/expendituresEU.Rd                 |    8 
 man/imputeBDLs.Rd                     |   28 ++-
 man/isomLR.Rd                         |    6 
 man/payments.Rd                       |only
 man/pcaCoDa.Rd                        |   45 ++++-
 man/pfa.Rd                            |   14 +
 man/phd.Rd                            |    2 
 man/plot.pcaCoDa.Rd                   |   27 ---
 man/production.Rd                     |only
 tests/imp_test.R                      |only
 tests/rz.R                            |  298 +++++++++++++++++++++++-----------
 vignettes/imputation-concordance.tex  |    6 
 vignettes/imputation.Rnw              |   98 ++++++-----
 59 files changed, 990 insertions(+), 425 deletions(-)

More information about robCompositions at CRAN
Permanent link

New package supervisedPRIM with initial version 1.0.1
Package: supervisedPRIM
Title: Supervised Classification Learning and Prediction using Patient Rules Induction Method (PRIM)
Version: 1.0.1
Date: 2016-08-22
Authors@R: person("David", "Shaub", email = "davidshaub@gmx.com", role = c("aut", "cre"))
Description: The Patient Rules Induction Method (PRIM) is typically used for "bump hunting" data mining to identify regions with abnormally high concentrations of data with large or small values. This package extends this methodology so that it can be applied to binary classification problems and used for prediction.
Depends: R (>= 3.1.1), stats, prim (>= 1.0.16)
Suggests: kernlab, testthat
License: GPL-3
URL: https://github.com/dashaub/supervisedPRIM
BugReports: https://github.com/dashaub/supervisedPRIM/issues
LazyData: true
RoxygenNote: 5.0.1
ByteCompile: true
NeedsCompilation: no
Packaged: 2016-08-22 02:29:24 UTC; david
Author: David Shaub [aut, cre]
Maintainer: David Shaub <davidshaub@gmx.com>
Repository: CRAN
Date/Publication: 2016-08-22 10:00:23

More information about supervisedPRIM at CRAN
Permanent link

New package SSRA with initial version 0.1-0
Package: SSRA
Type: Package
Title: Sakai Sequential Relation Analysis
Version: 0.1-0
Date: 2016-08-22
Authors@R: c(person(given="Takuya", family="Yanagida", email="takuya.yanagida@univie.ac.at", role=c("cre","aut")), person(given="Keiko", family="Sakai",email="keiko.sakai@@oit.ac.jp", role="aut"))
Author: Takuya Yanagida [cre, aut], Keiko Sakai [aut]
Maintainer: Takuya Yanagida <takuya.yanagida@univie.ac.at>
Description: Takeya Semantic Structure Analysis (TSSA) and Sakai Sequential Relation Analysis (SSRA) for polytomous items for examining whether each pair of items has a sequential or equal relation. Package includes functions for generating a sequential relation table and a treegram to visualize sequential or equal relations between pairs of items.
License: GPL-3
LazyLoad: yes
LazyData: true
Imports: shape, stringr
Depends: R (>= 3.2.0)
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-08-22 01:25:19 UTC; Takuya
Repository: CRAN
Date/Publication: 2016-08-22 10:00:17

More information about SSRA at CRAN
Permanent link

Package PredictTestbench updated to version 1.1.1 with previous version 1.0.2 dated 2016-06-04

Title: Test Bench for Comparison of Data Prediction Models
Description: Provides a Testbench for comparison of prediction models. This package is inspired from 'imputeTestbench' package <https://cran.r-project.org/package=imputeTestbench>. It compares prediction models with reference to RMSE, MAE or MAPE parameters. It allows to add new proposed methods to test bench and to compare with other methods. The function 'prediction_append()' allows to add multiple numbers of methods to the existing methods available in test bench. One/two step ahead prediction is also possible in the testbench.
Author: Neeraj Bokde
Maintainer: Neeraj Bokde <neerajdhanraj@gmail.com>

Diff between PredictTestbench versions 1.0.2 dated 2016-06-04 and 1.1.1 dated 2016-08-22

 DESCRIPTION               |    8 +++++---
 MD5                       |   18 +++++++++---------
 NAMESPACE                 |    2 ++
 R/prediction_append.R     |    2 +-
 R/prediction_errors.R     |   30 +++++++++++++++++++++++-------
 R/step_ahead_forecast.R   |   26 ++++++++++++++++++++------
 inst/doc/my-vignette.R    |    4 ++--
 inst/doc/my-vignette.Rmd  |    6 +++---
 inst/doc/my-vignette.html |   31 ++++++++++++++++---------------
 vignettes/my-vignette.Rmd |    6 +++---
 10 files changed, 84 insertions(+), 49 deletions(-)

More information about PredictTestbench at CRAN
Permanent link

New package kzfs with initial version 1.0.0.12
Package: kzfs
Title: Multi-Scale Motions Separation with Kolmogorov-Zurbenko Periodogram Signals
Version: 1.0.0.12
Authors@R: c(person("Ming", "Luo", email = "ml226662@gmail.com", role = c("aut", "cre")), person("Igor", "Zurbenko", email = "IZurbenko@albany.edu", role = "aut"))
Description: Separation of wave motions in different scales and directions based on Kolmogorov-Zurbenko 2D periodograms and directional periodograms.
Depends: R (>= 3.2.2)
License: GPL (>= 2)
LazyData: true
Imports: kzft, methods, digest
RoxygenNote: 5.0.1
Suggests: polynom
NeedsCompilation: yes
Packaged: 2016-08-22 04:40:36 UTC; Ming Luo
Author: Ming Luo [aut, cre], Igor Zurbenko [aut]
Maintainer: Ming Luo <ml226662@gmail.com>
Repository: CRAN
Date/Publication: 2016-08-22 10:00:21

More information about kzfs at CRAN
Permanent link

Package fdasrvf updated to version 1.6.2 with previous version 1.6.1 dated 2016-04-22

Title: Elastic Functional Data Analysis
Description: Functions to support functional data analysis using the square root velocity framework.
Author: J. Derek Tucker <jdtuck@sandia.gov>
Maintainer: J. Derek Tucker <jdtuck@sandia.gov>

Diff between fdasrvf versions 1.6.1 dated 2016-04-22 and 1.6.2 dated 2016-08-22

 DESCRIPTION          |    8 ++++----
 MD5                  |   16 ++++++++--------
 NEWS                 |    8 ++++++--
 R/curve_functions.R  |   19 ++++++++-----------
 R/curve_to_q.R       |    8 ++------
 R/q_to_curve.R       |   23 +++++++++++------------
 R/reparam_curve.R    |    2 +-
 README.md            |    2 +-
 man/reparam_curve.Rd |    2 +-
 9 files changed, 42 insertions(+), 46 deletions(-)

More information about fdasrvf at CRAN
Permanent link


Built and running on Debian GNU/Linux using R, littler and blosxom. Styled with Bootstrap.