Mon, 08 Oct 2018

Package cladoRcpp updated to version 0.15 with previous version 0.14.4 dated 2014-05-18

Title: C++ Implementations of Phylogenetic Cladogenesis Calculations
Description: Various cladogenesis-related calculations that are slow in pure R are implemented in C++ with Rcpp. These include the calculation of the probability of various scenarios for the inheritance of geographic range at the divergence events on a phylogenetic tree, and other calculations necessary for models which are not continuous-time markov chains (CTMC), but where change instead occurs instantaneously at speciation events. Typically these models must assess the probability of every possible combination of (ancestor state, left descendent state, right descendent state). This means that there are up to (# of states)^3 combinations to investigate, and in biogeographical models, there can easily be hundreds of states, so calculation time becomes an issue. C++ implementation plus clever tricks (many combinations can be eliminated a priori) can greatly speed the computation time over naive R implementations. CITATION INFO: This package is the result of my Ph.D. research, please cite the package if you use it! Type: citation(package="cladoRcpp") to get the citation information.
Author: Nicholas J. Matzke [aut, cre, cph]
Maintainer: Nicholas J. Matzke <nickmatzke.ncse@gmail.com>

Diff between cladoRcpp versions 0.14.4 dated 2014-05-18 and 0.15 dated 2018-10-08

 cladoRcpp-0.14.4/cladoRcpp/inst/REFERENCES.bib                                 |only
 cladoRcpp-0.14.4/cladoRcpp/man/cladoRcpp-package.Rd                            |only
 cladoRcpp-0.15/cladoRcpp/DESCRIPTION                                           |   21 
 cladoRcpp-0.15/cladoRcpp/MD5                                                   |   52 -
 cladoRcpp-0.15/cladoRcpp/NAMESPACE                                             |   34 
 cladoRcpp-0.15/cladoRcpp/NEWS                                                  |   23 
 cladoRcpp-0.15/cladoRcpp/R/cladoRcpp-package.R                                 |    8 
 cladoRcpp-0.15/cladoRcpp/R/cladoRcpp.R                                         |  392 ++++++++--
 cladoRcpp-0.15/cladoRcpp/inst/CITATION                                         |only
 cladoRcpp-0.15/cladoRcpp/man/Rcpp_combn_zerostart.Rd                           |   52 -
 cladoRcpp-0.15/cladoRcpp/man/areas_list_to_states_list_old.Rd                  |  101 --
 cladoRcpp-0.15/cladoRcpp/man/numstates_from_numareas.Rd                        |  122 +--
 cladoRcpp-0.15/cladoRcpp/man/rcpp_areas_list_to_states_list.Rd                 |   86 --
 cladoRcpp-0.15/cladoRcpp/man/rcpp_calc_anclikes_sp.Rd                          |  317 +++-----
 cladoRcpp-0.15/cladoRcpp/man/rcpp_calc_anclikes_sp_COOprobs.Rd                 |  237 ++----
 cladoRcpp-0.15/cladoRcpp/man/rcpp_calc_anclikes_sp_COOweights_faster.Rd        |  251 ++----
 cladoRcpp-0.15/cladoRcpp/man/rcpp_calc_anclikes_sp_prebyte.Rd                  |  198 +----
 cladoRcpp-0.15/cladoRcpp/man/rcpp_calc_anclikes_sp_rowsums.Rd                  |  205 +----
 cladoRcpp-0.15/cladoRcpp/man/rcpp_calc_anclikes_sp_using_COOprobs.Rd           |  101 +-
 cladoRcpp-0.15/cladoRcpp/man/rcpp_calc_rowsums_for_COOweights_columnar.Rd      |   94 --
 cladoRcpp-0.15/cladoRcpp/man/rcpp_calc_splitlikes_using_COOweights_columnar.Rd |   94 --
 cladoRcpp-0.15/cladoRcpp/man/rcpp_convolve.Rd                                  |   55 -
 cladoRcpp-0.15/cladoRcpp/man/rcpp_mult2probvect.Rd                             |   39 
 cladoRcpp-0.15/cladoRcpp/man/rcpp_states_list_to_DEmat.Rd                      |  112 +-
 cladoRcpp-0.15/cladoRcpp/man/strsplit3.Rd                                      |   27 
 cladoRcpp-0.15/cladoRcpp/src/basics.cpp                                        |    1 
 cladoRcpp-0.15/cladoRcpp/src/basics.h                                          |    1 
 cladoRcpp-0.15/cladoRcpp/src/calc_anclikes_sp.cpp                              |  130 ++-
 cladoRcpp-0.15/cladoRcpp/src/init.c                                            |only
 29 files changed, 1393 insertions(+), 1360 deletions(-)

More information about cladoRcpp at CRAN
Permanent link

Package pmml updated to version 1.5.6 with previous version 1.5.5 dated 2018-07-06

Title: Generate PMML for Various Models
Description: The Predictive Model Markup Language (PMML) is an XML-based language which provides a way for applications to define machine learning, statistical and data mining models and to share models between PMML compliant applications. More information about the PMML industry standard and the Data Mining Group can be found at <http://www.dmg.org>. The generated PMML can be imported into any PMML consuming application, such as Zementis Predictive Analytics products, which integrate with web services, relational database systems and deploy natively on Hadoop in conjunction with Hive, Spark or Storm, as well as allow predictive analytics to be executed for IBM z Systems mainframe applications and real-time, streaming analytics platforms.
Author: Graham Williams, Tridivesh Jena, Wen Ching Lin, Michael Hahsler (arules), Software AG, Hemant Ishwaran, Udaya B. Kogalur, Rajarshi Guha, Dmitriy Bolotov
Maintainer: Tridivesh Jena <rpmmlsupport@softwareag.com>

Diff between pmml versions 1.5.5 dated 2018-07-06 and 1.5.6 dated 2018-10-08

 DESCRIPTION                          |   22 +--
 MD5                                  |   18 +-
 R/pmml.R                             |    5 
 R/pmml.xgboost.R                     |   28 ++--
 build/vignette.rds                   |binary
 inst/ChangeLog                       |    5 
 inst/doc/packages_and_functions.html |  217 +++++++----------------------------
 man/addOutputField.Rd                |    4 
 man/pmml.Rd                          |   12 -
 man/pmml.xgb.Booster.Rd              |    5 
 10 files changed, 93 insertions(+), 223 deletions(-)

More information about pmml at CRAN
Permanent link

Package funHDDC updated to version 2.2.0 with previous version 2.1.0 dated 2018-08-13

Title: Univariate and Multivariate Model-Based Clustering in Group-Specific Functional Subspaces
Description: The funHDDC algorithm (Schmutz et al., 2018) allows to cluster functional univariate or multivariate data by modeling each group within a specific functional subspace.
Author: A Schmutz, J. Jacques & C. Bouveyron
Maintainer: Charles Bouveyron <charles.bouveyron@gmail.com>

Diff between funHDDC versions 2.1.0 dated 2018-08-13 and 2.2.0 dated 2018-10-08

 funHDDC-2.1.0/funHDDC/inst/doc/funHDDC.pdf   |only
 funHDDC-2.1.0/funHDDC/inst/extdata           |only
 funHDDC-2.2.0/funHDDC/DESCRIPTION            |   12 +--
 funHDDC-2.2.0/funHDDC/MD5                    |   30 ++++---
 funHDDC-2.2.0/funHDDC/R/plot.mfpca.R         |    4 -
 funHDDC-2.2.0/funHDDC/R/predict.funHDDC.R    |    2 
 funHDDC-2.2.0/funHDDC/R/slopeHeuristic.R     |    9 ++
 funHDDC-2.2.0/funHDDC/build                  |only
 funHDDC-2.2.0/funHDDC/inst/doc/funHDDC.R     |only
 funHDDC-2.2.0/funHDDC/inst/doc/funHDDC.Rmd   |only
 funHDDC-2.2.0/funHDDC/inst/doc/funHDDC.html  |only
 funHDDC-2.2.0/funHDDC/man/funHDDC.Rd         |  104 ++++++++++++++-------------
 funHDDC-2.2.0/funHDDC/man/mfpca.Rd           |   17 ++--
 funHDDC-2.2.0/funHDDC/man/plot.mfpca.Rd      |   13 +--
 funHDDC-2.2.0/funHDDC/man/predict.funHDDC.Rd |   53 +++++++------
 funHDDC-2.2.0/funHDDC/man/slopeHeuristic.Rd  |   69 ++++++++++-------
 funHDDC-2.2.0/funHDDC/man/triangle.Rd        |    2 
 funHDDC-2.2.0/funHDDC/man/trigo.Rd           |   37 ++++-----
 funHDDC-2.2.0/funHDDC/vignettes              |only
 19 files changed, 192 insertions(+), 160 deletions(-)

More information about funHDDC at CRAN
Permanent link

Package weathercan updated to version 0.2.8 with previous version 0.2.7 dated 2018-07-05

Title: Download Weather Data from the Environment and Climate Change Canada Website
Description: Provides means for downloading historical weather data from the Environment and Climate Change Canada website (<http://climate.weather.gc.ca/historical_data/search_historic_data_e.html>). Data can be downloaded from multiple stations and over large date ranges and automatically processed into a single dataset. Tools are also provided to identify stations either by name or proximity to a location.
Author: Steffi LaZerte [aut, cre] (<https://orcid.org/0000-0002-7690-8360>), Sam Albers [ctb] (<https://orcid.org/0000-0002-9270-7884>)
Maintainer: Steffi LaZerte <steffi@steffi.ca>

Diff between weathercan versions 0.2.7 dated 2018-07-05 and 0.2.8 dated 2018-10-08

 DESCRIPTION                         |   21 ++-
 MD5                                 |  150 ++++++++++++++++++++++-----
 NAMESPACE                           |    1 
 NEWS.md                             |   11 ++
 R/data.R                            |    1 
 R/stations.R                        |   23 +++-
 R/sysdata.rda                       |binary
 R/utils.R                           |   87 ++++------------
 R/weather.R                         |   15 +-
 R/weathercan-pkg.R                  |    4 
 build/vignette.rds                  |binary
 data/finches.rda                    |binary
 data/flags.rda                      |binary
 data/glossary.rda                   |binary
 data/kamloops.rda                   |binary
 data/kamloops_day.rda               |binary
 data/pg.rda                         |binary
 data/stations.rda                   |binary
 inst/doc/flags.html                 |   16 +-
 inst/doc/glossary.html              |    4 
 inst/doc/interpolate_data.html      |   10 -
 inst/doc/weathercan.html            |  194 ++++++++++++++++++------------------
 man/get_tz.Rd                       |only
 man/stations.Rd                     |    1 
 man/stations_dl.Rd                  |    3 
 man/tz_calc.Rd                      |   30 -----
 man/weather_interp.Rd               |    4 
 tests/testthat/test_02_utils.R      |   22 ----
 tests/testthat/test_03_station_dl.R |    7 -
 tools/readme/kam_plt-1.png          |binary
 vignettes/articles/mapping.Rmd      |only
 vignettes/articles/mapping_shp      |only
 vignettes/articles/mapping_svg      |only
 33 files changed, 330 insertions(+), 274 deletions(-)

More information about weathercan at CRAN
Permanent link

Package billboarder updated to version 0.2.4 with previous version 0.2.3 dated 2018-08-07

Title: Create Interactive Chart with the JavaScript 'Billboard' Library
Description: Provides an 'htmlwidgets' interface to 'billboard.js', a re-usable easy interface JavaScript chart library, based on D3 v4+. Chart types include line charts, scatterplots, bar/lollipop charts, histogram/density plots, pie/donut charts and gauge charts. All charts are interactive, and a proxy method is implemented to smoothly update a chart without rendering it again in 'shiny' apps.
Author: Victor Perrier [aut, cre], Fanny Meyer [aut], NAVER Corp [cph] (billboard library)
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

Diff between billboarder versions 0.2.3 dated 2018-08-07 and 0.2.4 dated 2018-10-08

 billboarder-0.2.3/billboarder/inst/htmlwidgets/lib/billboard-1.4.1 |only
 billboarder-0.2.3/billboarder/inst/htmlwidgets/lib/billboard-1.5.1 |only
 billboarder-0.2.3/billboarder/inst/img                             |only
 billboarder-0.2.4/billboarder/DESCRIPTION                          |    8 
 billboarder-0.2.4/billboarder/MD5                                  |   70 +++----
 billboarder-0.2.4/billboarder/NAMESPACE                            |    7 
 billboarder-0.2.4/billboarder/NEWS.md                              |    8 
 billboarder-0.2.4/billboarder/R/billboarder-shiny.R                |    1 
 billboarder-0.2.4/billboarder/R/billboarder.R                      |   54 ++++-
 billboarder-0.2.4/billboarder/README.md                            |   68 +++++-
 billboarder-0.2.4/billboarder/inst/doc/billboarder-intro.html      |  100 +++++-----
 billboarder-0.2.4/billboarder/inst/doc/billboarder-mapping.html    |   46 ++--
 billboarder-0.2.4/billboarder/inst/doc/billboarder-options.html    |   86 ++++----
 billboarder-0.2.4/billboarder/inst/htmlwidgets/billboarder.yaml    |    5 
 billboarder-0.2.4/billboarder/inst/htmlwidgets/lib/billboard-1.6   |only
 billboarder-0.2.4/billboarder/man/figures                          |only
 billboarder-0.2.4/billboarder/man/set_theme.Rd                     |only
 17 files changed, 272 insertions(+), 181 deletions(-)

More information about billboarder at CRAN
Permanent link

New package vamc with initial version 0.1.0
Package: vamc
Type: Package
Title: A Monte Carlo Valuation Framework for Variable Annuities
Version: 0.1.0
Authors@R: c( person("Hengxin", "Li", email = "h343li@uwaterloo.ca", role = c("aut", "cph")), person("Ben", "Feng", email = "ben.feng@uwaterloo.ca", role = c("aut", "cph", "cre")), person("GuoJun", "Gan", email = "Guojun.Gan@uconn.edu", role = c("ctb")))
Description: Implementation of a Monte Carlo simulation engine for valuing synthetic portfolios of variable annuities, which reflect realistic features of common annuity contracts in practice. It aims to facilitate the development and dissemination of research related to the efficient valuation of a portfolio of large variable annuities. The main valuation methodology was proposed by Gan (2017) <doi:10.1515/demo-2017-0021>.
Depends: R (>= 3.3.0)
License: GPL-2
LazyData: true
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
RoxygenNote: 6.1.0
Imports: stats (>= 3.3.0), utils (>= 3.3.0), Rdpack (>= 0.4)
RdMacros: Rdpack
NeedsCompilation: no
Packaged: 2018-10-01 16:23:19 UTC; thecoolestman
Author: Hengxin Li [aut, cph], Ben Feng [aut, cph, cre], GuoJun Gan [ctb]
Maintainer: Ben Feng <ben.feng@uwaterloo.ca>
Repository: CRAN
Date/Publication: 2018-10-08 18:30:03 UTC

More information about vamc at CRAN
Permanent link

New package TPMplt with initial version 0.1.0
Package: TPMplt
Type: Package
Title: Tool-Kit for Dynamic Materials Model and Thermal Processing Maps
Version: 0.1.0
Date: 2018-09-30
Authors@R: person("ZHANG_Chen", "Developer", email = "447974102@qq.com", role = c("aut", "com", "cre"))
Description: Provides a simple approach for constructing dynamic materials modeling suggested by Prasad and Gegel <doi:10.1007/BF02664902>. It can easily generate various processing-maps based on this model as well. The calculation result in this package contains full materials constants, information about power dissipation efficiency factor, and rheological properties, can be exported completely also, through which further analysis and customized plots will be applicable as well.
License: GPL-3
URL: https://github.com/CubicZebra/TPMplt
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Imports: VBTree, ggplot2, rgl, e1071, qpcR, grDevices, rowr, graphics, stats
Depends: R (>= 2.10)
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-10-01 15:30:18 UTC; chen_zhang
Author: ZHANG_Chen Developer [aut, com, cre]
Maintainer: ZHANG_Chen Developer <447974102@qq.com>
Repository: CRAN
Date/Publication: 2018-10-08 18:40:03 UTC

More information about TPMplt at CRAN
Permanent link

Package sommer updated to version 3.6 with previous version 3.5 dated 2018-07-02

Title: Solving Mixed Model Equations in R
Description: Structural multivariate-univariate linear mixed model solver for multiple random effects allowing the specification of variance-covariance structures for random effects and allowing the fit of heterogeneous variance models (Covarrubias-Pazaran, 2016 <doi:10.1371/journal.pone.0156744>; Maier et al., 2015 <doi:10.1016/j.ajhg.2014.12.006>). ML/REML estimates can be obtained using the Direct-Inversion Newton-Raphson, and Efficient Mixed Model Association algorithms. Designed for genomic prediction and genome wide association studies (GWAS), particularly focused in the p > n problem (more coefficients than observations) to include multiple relationship matrices or other covariance structures. Spatial models can be fitted using the two-dimensional spline functionality in sommer.
Author: Giovanny Covarrubias-Pazaran
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

Diff between sommer versions 3.5 dated 2018-07-02 and 3.6 dated 2018-10-08

 CHANGELOG                   |    9 ++++-
 DESCRIPTION                 |    8 ++--
 MD5                         |   71 ++++++++++++++++++++++----------------------
 R/GWAS.R                    |   14 ++++----
 R/NR.R                      |    8 ++++
 R/mmer.R                    |   16 ++++-----
 R/mmer2.R                   |   44 ++++++++++++++++-----------
 R/score.calcMV.R            |    2 -
 R/spl2D.R                   |only
 build/vignette.rds          |binary
 data/BTdata.RData           |binary
 data/CPdata.RData           |binary
 data/ExpDesigns.RData       |binary
 data/F1geno.RData           |binary
 data/FDdata.RData           |binary
 data/HDdata.RData           |binary
 data/PolyData.RData         |binary
 data/RICE.RData             |binary
 data/Technow_data.RData     |binary
 data/augment.RData          |binary
 data/cornHybrid.RData       |binary
 data/example.RData          |binary
 data/gryphondata.RData      |binary
 data/h2example.RData        |binary
 data/my.colors.RData        |binary
 data/wheatLines.RData       |binary
 data/yates.oats.RData       |binary
 inst/doc/sommer.R           |   14 ++++++++
 inst/doc/sommer.Rmd         |   19 +++++++++++
 inst/doc/sommer.pdf         |binary
 inst/doc/sommer.start.Rmd   |   22 ++++++++++++-
 inst/doc/sommer.start.pdf   |binary
 man/mmer2.Rd                |    6 +--
 vignettes/sommer.Rmd        |   19 +++++++++++
 vignettes/sommer.html       |   46 +++++++++++++++++++++-------
 vignettes/sommer.start.Rmd  |   22 ++++++++++++-
 vignettes/sommer.start.html |   49 ++++++++++++++++++++++--------
 37 files changed, 264 insertions(+), 105 deletions(-)

More information about sommer at CRAN
Permanent link

New package nlgeocoder with initial version 0.1.3
Package: nlgeocoder
Title: Geocoding for the Netherlands
Version: 0.1.3
Authors@R: c(person("Willy", "Tadema", role = c("aut")), person("Egge-Jan", "Pollé", role = c("aut")) ,person("Edwin", "de Jonge", email = "edwindjonge@gmail.com", role = c("aut", "cre")) ,person("Juris", "Breidaks", role = c("ctb")))
Description: R interface to the open location server API of 'Publieke Diensten Op de Kaart' (<http://www.pdok.nl>). It offers geocoding, address suggestions and lookup of geographical objects. Included is an utility function for displaying leaflet tiles restricted to the Netherlands.
Depends: R (>= 3.4)
License: GPL-2
BugReports: https://github.com/uRos2018/nlgeocoder/issues
URL: https://github.com/uRos2018/nlgeocoder
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Suggests: testthat, knitr, rmarkdown, sf, shiny, leaflet
VignetteBuilder: knitr
Imports: jsonlite
NeedsCompilation: no
Packaged: 2018-10-01 12:37:12 UTC; edwin
Author: Willy Tadema [aut], Egge-Jan Pollé [aut], Edwin de Jonge [aut, cre], Juris Breidaks [ctb]
Maintainer: Edwin de Jonge <edwindjonge@gmail.com>
Repository: CRAN
Date/Publication: 2018-10-08 18:30:06 UTC

More information about nlgeocoder at CRAN
Permanent link

Package ndtv updated to version 0.12.3 with previous version 0.12.2 dated 2018-05-13

Title: Network Dynamic Temporal Visualizations
Description: Renders dynamic network data from 'networkDynamic' objects as movies, interactive animations, or other representations of changing relational structures and attributes.
Author: Skye Bender-deMoll [cre, aut], Martina Morris [ctb]
Maintainer: Skye Bender-deMoll <skyebend@uw.edu>

Diff between ndtv versions 0.12.2 dated 2018-05-13 and 0.12.3 dated 2018-10-08

 ChangeLog          |    1 
 DESCRIPTION        |    8 
 MD5                |   12 
 inst/doc/ndtv.R    |   84 
 inst/doc/ndtv.Rnw  |   11 
 inst/doc/ndtv.pdf  | 5433 ++++++++++++++++++++++++++---------------------------
 vignettes/ndtv.Rnw |   11 
 7 files changed, 2773 insertions(+), 2787 deletions(-)

More information about ndtv at CRAN
Permanent link

New package IntrinioStockAPI with initial version 0.0.1
Package: IntrinioStockAPI
Title: Wrapper for the 'Intrinio Stock API'
Version: 0.0.1
Maintainer: Kenneth Miller <kmiller@intrinio.com>
Description: Download financial data from the free 'Intrinio Stock API' (<https://intrinio.com/>). 'Intrinio' offers a REST API which provides financial markets data including intra-day stock prices, historical stock prices, technical indicators, company fundamentals, and more. Complete documentation for the 'Intrinio Stock API' is available here: <https://intrinio.com/documentation/api/>. To access the 'Intrinio Stock API', simply create a free account <https://intrinio.com/>.
Author: Intrinio
Depends: R (>= 3.0.1)
Imports: stringr, httr, jsonlite, gtools
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/intrinio/r-sdk
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2018-10-01 16:14:15 UTC; kgmiller
Repository: CRAN
Date/Publication: 2018-10-08 18:50:07 UTC

More information about IntrinioStockAPI at CRAN
Permanent link

Package CopyDetect updated to version 1.3 with previous version 1.2 dated 2016-04-27

Title: Computing Response Similarity Indices for Multiple-Choice Tests
Description: Contains several IRT and non-IRT based response similarity indices proposed in the literature for multiple-choice examinations such as the Omega index, Wollack (1997) <doi:10.1177/01466216970214002>; Generalized Binomial Test, van der Linden & Sotaridona (2006) <doi:10.3102/10769986031003283>; K index, K1 and K2 indices, Sotaridona & Meijer (2002) <doi:10.1111/j.1745-3984.2002.tb01138.x>; and S1 and S2 indices, Sotaridona & Meijer (2003) <doi:10.1111/j.1745-3984.2003.tb01096.x>.
Author: Cengiz Zopluoglu
Maintainer: Cengiz Zopluoglu <c.zopluoglu@miami.edu>

Diff between CopyDetect versions 1.2 dated 2016-04-27 and 1.3 dated 2018-10-08

 CopyDetect-1.2/CopyDetect/R/CopyDetect1.r            |only
 CopyDetect-1.2/CopyDetect/R/CopyDetect2.r            |only
 CopyDetect-1.2/CopyDetect/data/ipar.RData            |only
 CopyDetect-1.2/CopyDetect/data/simulated.data.RData  |only
 CopyDetect-1.2/CopyDetect/man/CopyDetect1.Rd         |only
 CopyDetect-1.2/CopyDetect/man/CopyDetect2.Rd         |only
 CopyDetect-1.2/CopyDetect/man/ipar.Rd                |only
 CopyDetect-1.2/CopyDetect/man/simulated.data.Rd      |only
 CopyDetect-1.3/CopyDetect/DESCRIPTION                |   15 -
 CopyDetect-1.3/CopyDetect/LICENSE                    |    2 
 CopyDetect-1.3/CopyDetect/MD5                        |   30 +--
 CopyDetect-1.3/CopyDetect/NAMESPACE                  |   22 +-
 CopyDetect-1.3/CopyDetect/NEWS                       |   17 +
 CopyDetect-1.3/CopyDetect/R/print.CopyDetect.r       |  160 ++++++++--------
 CopyDetect-1.3/CopyDetect/R/print.CopyDetect2.r      |  190 +++++++++----------
 CopyDetect-1.3/CopyDetect/R/print.CopyDetectCenter.r |only
 CopyDetect-1.3/CopyDetect/R/print.CopyDetectMany.r   |only
 CopyDetect-1.3/CopyDetect/R/similarity1.r            |only
 CopyDetect-1.3/CopyDetect/R/similarity2.r            |only
 CopyDetect-1.3/CopyDetect/data/form1.RData           |only
 CopyDetect-1.3/CopyDetect/data/form2.RData           |only
 CopyDetect-1.3/CopyDetect/man/form1.Rd               |only
 CopyDetect-1.3/CopyDetect/man/form2.Rd               |only
 CopyDetect-1.3/CopyDetect/man/similarity1.Rd         |only
 CopyDetect-1.3/CopyDetect/man/similarity2.Rd         |only
 25 files changed, 244 insertions(+), 192 deletions(-)

More information about CopyDetect at CRAN
Permanent link

Package stylo updated to version 0.6.8 with previous version 0.6.7 dated 2018-05-26

Title: Stylometric Analyses
Description: Supervised and unsupervised multivariate methods, supplemented by GUI and some visualizations, to perform various analyses in the field of computational stylistics, authorship attribution, etc. For further reference, see Eder et al. (2016), <https://journal.r-project.org/archive/2016/RJ-2016-007/index.html>.
Author: Maciej Eder, Jan Rybicki, Mike Kestemont
Maintainer: Maciej Eder <maciejeder@gmail.com>

Diff between stylo versions 0.6.7 dated 2018-05-26 and 0.6.8 dated 2018-10-08

 DESCRIPTION               |    8 
 MD5                       |   24 +-
 NEWS.md                   |   10 +
 R/classify.R              |  294 +++++++++++++++++-------------------
 R/load.corpus.R           |   18 +-
 R/load.corpus.and.parse.R |   10 -
 R/make.samples.R          |   34 ++--
 R/oppose.R                |  127 +++++++--------
 R/parse.pos.tags.R        |    7 
 R/print.stylo.results.R   |   49 ++----
 R/stylo.R                 |  375 ++++++++++++++++++++++------------------------
 R/txt.to.words.R          |   14 +
 R/txt.to.words.ext.R      |   19 ++
 13 files changed, 501 insertions(+), 488 deletions(-)

More information about stylo at CRAN
Permanent link

Package InvariantCausalPrediction updated to version 0.7-2 with previous version 0.7-1 dated 2017-10-03

Title: Invariant Causal Prediction
Description: Confidence intervals for causal effects, using data collected in different experimental or environmental conditions. Hidden variables can be included in the model with a more experimental version.
Author: Nicolai Meinshausen
Maintainer: Nicolai Meinshausen <meinshausen@stat.math.ethz.ch>

Diff between InvariantCausalPrediction versions 0.7-1 dated 2017-10-03 and 0.7-2 dated 2018-10-08

 InvariantCausalPrediction-0.7-1/InvariantCausalPrediction/R/causalDantzig.R                        |only
 InvariantCausalPrediction-0.7-1/InvariantCausalPrediction/man/causalDantzig.Rd                     |only
 InvariantCausalPrediction-0.7-1/InvariantCausalPrediction/man/plot.causalDantzig.Rd                |only
 InvariantCausalPrediction-0.7-1/InvariantCausalPrediction/man/summary.causalDantzig.Rd             |only
 InvariantCausalPrediction-0.7-2/InvariantCausalPrediction/DESCRIPTION                              |   12 +++----
 InvariantCausalPrediction-0.7-2/InvariantCausalPrediction/MD5                                      |   16 +++-------
 InvariantCausalPrediction-0.7-2/InvariantCausalPrediction/NAMESPACE                                |   15 ---------
 InvariantCausalPrediction-0.7-2/InvariantCausalPrediction/R/getpval.R                              |    2 -
 InvariantCausalPrediction-0.7-2/InvariantCausalPrediction/man/ICP.Rd                               |    2 -
 InvariantCausalPrediction-0.7-2/InvariantCausalPrediction/man/InvariantCausalPrediction-package.Rd |    8 ++---
 InvariantCausalPrediction-0.7-2/InvariantCausalPrediction/man/hiddenICP.Rd                         |   13 ++------
 11 files changed, 22 insertions(+), 46 deletions(-)

More information about InvariantCausalPrediction at CRAN
Permanent link

Package cdata updated to version 1.0.2 with previous version 1.0.1 dated 2018-09-22

Title: Fluid Data Transformations
Description: Supplies higher-order fluid data transform operators that include pivot and anti-pivot as special cases. The methodology is describe in 'Zumel', 2018, "Fluid data reshaping with 'cdata'", <http://winvector.github.io/FluidData/FluidDataReshapingWithCdata.html> , doi:10.5281/zenodo.1173299 . Based on the 'DBI' database interface.
Author: John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between cdata versions 1.0.1 dated 2018-09-22 and 1.0.2 dated 2018-10-08

 DESCRIPTION                    |   10 ++++----
 MD5                            |   23 +++++++++---------
 NEWS.md                        |    5 ++++
 R/LocalOps.R                   |   19 ++++++++++-----
 R/RowsColumns.R                |   50 +++++++++++++++++++++++++----------------
 README.md                      |    2 -
 inst/doc/cdata.html            |    6 ++--
 man/blocks_to_rowrecs.Rd       |    2 -
 man/pivot_to_rowrecs.Rd        |   11 ++++++++-
 man/rowrecs_to_blocks.Rd       |    6 ++--
 man/unpivot_to_blocks.Rd       |   15 ++++++++++--
 tests/testthat/testRowColOps.R |   31 ++++++++++++++-----------
 tests/testthat/test_check.R    |only
 13 files changed, 115 insertions(+), 65 deletions(-)

More information about cdata at CRAN
Permanent link

Package useful updated to version 1.2.6 with previous version 1.2.5 dated 2018-06-09

Title: A Collection of Handy, Useful Functions
Description: A set of little functions that have been found useful to do little odds and ends such as plotting the results of K-means clustering, substituting special text characters, viewing parts of a data.frame, constructing formulas from text and building design and response matrices.
Author: Jared P. Lander [cre, aut], Nicholas Galasinao [ctb], Joshua Kraut [ctb], Daniel Chen [ctb]
Maintainer: Jared P. Lander <packages@jaredlander.com>

Diff between useful versions 1.2.5 dated 2018-06-09 and 1.2.6 dated 2018-10-08

 DESCRIPTION                         |   10 +++++-----
 MD5                                 |   29 ++++++++++++++++-------------
 NAMESPACE                           |    1 +
 NEWS.md                             |   27 +++++++++++++++------------
 R/formatters.r                      |   36 +++++++++++++++++++++++++++++++-----
 R/loadPackages.r                    |only
 R/tsPlot.r                          |    2 +-
 man/WhichCorner.Rd                  |    4 ++--
 man/compare.list.Rd                 |    2 +-
 man/corner.Rd                       |    3 ++-
 man/fortify.ts.Rd                   |    5 +++--
 man/load_packages.Rd                |only
 man/multiple.Rd                     |   13 ++++++++++---
 man/plotTimesSeries.Rd              |    4 ++--
 man/useful.Rd                       |    1 -
 tests/testthat/test-formatters.r    |   30 ++++++++++++++++--------------
 tests/testthat/test-load-packages.R |only
 17 files changed, 105 insertions(+), 62 deletions(-)

More information about useful at CRAN
Permanent link

Package bookdownplus updated to version 1.5.1 with previous version 1.4.6 dated 2018-09-10

Title: Generate Assorted Books and Documents with R 'bookdown' Package
Description: A collection and selector of R 'bookdown' templates. 'bookdownplus' helps you write academic journal articles, guitar books, chemical equations, mails, calendars, and diaries. R 'bookdownplus' extends the features of 'bookdown', and simplifies the procedure. Users only have to choose a template, clarify the book title and author name, and then focus on writing the text. No need to struggle in 'YAML' and 'LaTeX'.
Author: Peng Zhao
Maintainer: Peng Zhao <pzhao@pzhao.net>

Diff between bookdownplus versions 1.4.6 dated 2018-09-10 and 1.5.1 dated 2018-10-08

 bookdownplus-1.4.6/bookdownplus/inst/images/mail.pdf |only
 bookdownplus-1.4.6/bookdownplus/inst/zip             |only
 bookdownplus-1.4.6/bookdownplus/man/mail_bodysize.Rd |only
 bookdownplus-1.4.6/bookdownplus/man/mail_font.Rd     |only
 bookdownplus-1.4.6/bookdownplus/man/mail_fontsize.Rd |only
 bookdownplus-1.4.6/bookdownplus/man/mail_style.Rd    |only
 bookdownplus-1.4.6/bookdownplus/man/mail_theme.Rd    |only
 bookdownplus-1.4.6/bookdownplus/man/more_output.Rd   |only
 bookdownplus-1.4.6/bookdownplus/man/poster_theme.Rd  |only
 bookdownplus-1.4.6/bookdownplus/man/template.Rd      |only
 bookdownplus-1.5.1/bookdownplus/DESCRIPTION          |   10 
 bookdownplus-1.5.1/bookdownplus/MD5                  |  108 +--
 bookdownplus-1.5.1/bookdownplus/NAMESPACE            |   12 
 bookdownplus-1.5.1/bookdownplus/R/fun.R              |  583 +++++--------------
 bookdownplus-1.5.1/bookdownplus/R/internal.R         |only
 bookdownplus-1.5.1/bookdownplus/inst/templates       |only
 bookdownplus-1.5.1/bookdownplus/man/backup.Rd        |only
 bookdownplus-1.5.1/bookdownplus/man/bd.Rd            |    8 
 bookdownplus-1.5.1/bookdownplus/man/bookdownplus.Rd  |  148 ----
 bookdownplus-1.5.1/bookdownplus/man/copyfolder.Rd    |only
 bookdownplus-1.5.1/bookdownplus/man/create.Rd        |only
 bookdownplus-1.5.1/bookdownplus/man/get_output.Rd    |only
 bookdownplus-1.5.1/bookdownplus/man/get_template.Rd  |only
 bookdownplus-1.5.1/bookdownplus/man/share.Rd         |   17 
 24 files changed, 218 insertions(+), 668 deletions(-)

More information about bookdownplus at CRAN
Permanent link

Package solvebio updated to version 2.6.0 with previous version 2.5.1 dated 2018-07-10

Title: The Official SolveBio API Client
Description: R language bindings for SolveBio's API. SolveBio is a biomedical knowledge hub that enables life science organizations to collect and harmonize the complex, disparate "multi-omic" data essential for today's R&D and BI needs. For more information, visit <https://www.solvebio.com>.
Author: David Caplan
Maintainer: David Caplan <dcaplan@solvebio.com>

Diff between solvebio versions 2.5.1 dated 2018-07-10 and 2.6.0 dated 2018-10-08

 DESCRIPTION              |   10 -
 MD5                      |   13 +-
 NAMESPACE                |    1 
 NEWS.md                  |    5 
 R/shiny.R                |  294 +++++++++++++++++++++++++++++++++++++----------
 README.md                |    9 +
 man/protectedServer.Rd   |    2 
 man/protectedServerJS.Rd |only
 8 files changed, 261 insertions(+), 73 deletions(-)

More information about solvebio at CRAN
Permanent link

New package processcheckR with initial version 0.1.0
Package: processcheckR
Type: Package
Title: Rule-Based Conformance Checking of Business Process Event Data
Version: 0.1.0
Date: 2018-10-01
Authors@R: person("Gert","Janssenswillen", email = "gert.janssenswillen@uhasselt.be", role = c("aut","cre"))
Description: Check compliance of event data from (business) processes with respect to specified rules. Rules supported are of three types: frequency (activities that should (not) happen x number of times), order (succession between activities) and exclusiveness (and and exclusive choice between activities).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, bupaR, rlang, edeaR, stringr, glue
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, eventdataR
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-10-01 12:55:00 UTC; lucp8407
Author: Gert Janssenswillen [aut, cre]
Maintainer: Gert Janssenswillen <gert.janssenswillen@uhasselt.be>
Repository: CRAN
Date/Publication: 2018-10-08 14:20:03 UTC

More information about processcheckR at CRAN
Permanent link

New package epos with initial version 0.1.0
Package: epos
Type: Package
Title: Epilepsy Ontology Similarities
Version: 0.1.0
Author: Bernd Müller
Maintainer: Bernd Mueller <bernd.mueller@zbmed.de>
Depends: R (>= 2.10)
Description: Analysis and visualization of similarities between epilepsy ontologies based on text mining results by comparing ranked lists of co-occurring drug terms in the corpus of LIVIVO. The ranked result lists of neurological drug terms co-occurring with named entities from the epilepsy ontologies EpSO, ESSO, and EPILONT are aggregated in order to generate two different results: an overview table of drugs that are relevant to epilepsy created with the method createNeuroTable, and a plot of tanimoto similarity coefficients between the aggregated list of drug terms against the list of drug terms from each of the ontologies created with the method createTanimotoBaseline(). The alignment of the Top-K Ranked Lists is conducted using the R-package TopKLists <https://cran.r-project.org/package=TopKLists>. The source data to create the ranked lists of drug names is produced using the text mining workflows described in Mueller, Bernd and Hagelstein, Alexandra (2016) <doi:10.4126/FRL01-006408558> and Mueller, Bernd et al. (2017) <doi:10.1007/978-3-319-58694-6_22>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Imports: hashmap, ggplot2, tidyr, dplyr, testthat, gridExtra, TopKLists, stringr, xtable
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2018-10-08 10:27:05 UTC; muellerb
Repository: CRAN
Date/Publication: 2018-10-08 14:20:06 UTC

More information about epos at CRAN
Permanent link

New package crossrun with initial version 0.1.0
Package: crossrun
Version: 0.1.0
Title: Joint Distribution of Number of Crossings and Longest Run
Authors@R: c(person("Tore","Wentzel-Larsen",email="tore.wentzellarsen@gmail.com",role=c("aut","cre")), person("Jacob", "Anhøj", email="jacob@anhoej.net", role="aut"))
Description: Joint distribution of number of crossings and the longest run in a series of independent Bernoulli trials. The computations uses an iterative procedure where computations are based on results from shorter series. The procedure conditions on the start value and partitions by further conditioning on the position of the first crossing (or none).
Depends: R (>= 3.5)
License: GPL-3
Encoding: UTF-8
URL: https://github.com/ToreWentzel-Larsen/crossrun
LazyData: true
Imports: Rmpfr (>= 0.7-1)
RoxygenNote: 6.1.0
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-10-01 09:50:57 UTC; Tore Admin
Author: Tore Wentzel-Larsen [aut, cre], Jacob Anhøj [aut]
Maintainer: Tore Wentzel-Larsen <tore.wentzellarsen@gmail.com>
Repository: CRAN
Date/Publication: 2018-10-08 14:20:10 UTC

More information about crossrun at CRAN
Permanent link

Package SPUTNIK updated to version 1.0.4.1 with previous version 1.0.3.4 dated 2018-09-18

Title: SPatially aUTomatic deNoising for Ims toolKit
Description: A set of tools for the peak filtering of mass spectrometry imaging data (MSI or IMS) based on spatial distribution of signal. Given a region-of-interest (ROI), representing the spatial region where the informative signal is expected to be localized, a series of filters determine which peak signals are characterized by an implausible spatial distribution. The filters reduce the dataset dimensionality and increase its information vs noise ratio, improving the quality of the unsupervised analysis results, reducing data dimensionality and simplifying the chemical interpretation.
Author: Paolo Inglese [aut, cre], Goncalo Correia [aut, ctb]
Maintainer: Paolo Inglese <p.inglese14@imperial.ac.uk>

Diff between SPUTNIK versions 1.0.3.4 dated 2018-09-18 and 1.0.4.1 dated 2018-10-08

 DESCRIPTION             |   12 -
 MD5                     |   32 +-
 NAMESPACE               |    3 
 R/examples/sparseness.R |    5 
 R/filter_global.R       |  212 +++++++++---------
 R/graph_funcs.R         |  558 ++++++++++++++++++++++++------------------------
 R/ms.image_methods.R    |    9 
 R/msi.dataset_funcs.R   |  218 +++++++++---------
 R/msi.dataset_methods.R |    2 
 R/mz_funcs.R            |  416 ++++++++++++++++++-----------------
 R/sparseness_funcs.R    |   33 ++
 man/NMI.Rd              |    2 
 man/gini.index.Rd       |    3 
 man/refAndROIimages.Rd  |    5 
 man/scatter.ratio.Rd    |    3 
 man/spatial.chaos.Rd    |    3 
 man/splitPeaksFilter.Rd |    4 
 17 files changed, 773 insertions(+), 747 deletions(-)

More information about SPUTNIK at CRAN
Permanent link

Package easyreg updated to version 2.0 with previous version 1.0 dated 2016-10-13

Title: Easy Regression
Description: Performs analysis of regression in simple designs with quantitative treatments, including mixed models and non linear models.
Author: Emmanuel Arnhold
Maintainer: Emmanuel Arnhold <emmanuelarnhold@yahoo.com.br>

Diff between easyreg versions 1.0 dated 2016-10-13 and 2.0 dated 2018-10-08

 DESCRIPTION            |   14 
 MD5                    |   17 
 NAMESPACE              |    4 
 R/bl.R                 | 1397 ++++++++++++++++++++++++++++++++++++++++++++++---
 R/er1.R                |   92 ++-
 R/regplot.R            |  130 +++-
 inst                   |only
 man/bl.Rd              |   67 ++
 man/easyreg-package.Rd |    4 
 man/regplot.Rd         |   46 +
 10 files changed, 1610 insertions(+), 161 deletions(-)

More information about easyreg at CRAN
Permanent link

New package OSDR with initial version 1.1
Package: OSDR
Type: Package
Title: Finds an Optimal System of Distinct Representatives
Version: 1.1
Date: 2018-09-19
Authors@R: person("Massimo", "Cannas", role = c("aut", "cre"), email = "massimo.cannas@unica.it")
Author: Massimo Cannas [aut, cre]
Maintainer: Massimo Cannas <massimo.cannas@unica.it>
Description: Provides routines for finding an Optimal System of Distinct Representatives (OSDR), as defined by D.Gale (1968) <doi:10.1016/S0021-9800(68)80039-0>.
Suggests: optrees, optmatch
License: GPL-2
NeedsCompilation: no
Packaged: 2018-09-30 21:59:18 UTC; massimo
Repository: CRAN
Date/Publication: 2018-10-08 12:40:14 UTC

More information about OSDR at CRAN
Permanent link

New package lorentz with initial version 1.0-0
Package: lorentz
Type: Package
Title: The Lorentz Transform in Relativistic Physics
Version: 1.0-0
Author: Robin K. S. Hankin
Depends: magrittr
Suggests: knitr
Imports: emulator
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>
Description: Addition of velocities in special relativity is not straightforward: the parallelogram addition law does not apply because velocity addition is neither commutative nor associative. This package furnishes functionality to work with Lorentz transforms and the gyrogroup structure of three-velocities. For general relativity, see the 'schwarzschild' package.
License: GPL-3
URL: https://github.com/RobinHankin/lorentz.git
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-09-30 18:51:00 UTC; rhankin
Repository: CRAN
Date/Publication: 2018-10-08 12:40:03 UTC

More information about lorentz at CRAN
Permanent link

New package logisticRR with initial version 0.1.0
Package: logisticRR
Type: Package
Title: Adjusted Relative Risk from Logistic Regression
Version: 0.1.0
Author: Youjin Lee
Maintainer: Youjin Lee <ylee160@jhu.edu>
Imports: stats
Suggests: knitr, testthat
Description: Adjusted odds ratio conditional on potential confounders can be directly obtained from logistic regression. However, those adjusted odds ratios have been widely incorrectly interpreted as a relative risk. As relative risk is often of interest in public health, we provide a simple code to return adjusted relative risks from logistic regression model under potential confounders.
License: GPL (>= 3) | file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
VignetteBuilder: knitr
URL: https://github.com/youjin1207/logisticRR
NeedsCompilation: no
Packaged: 2018-10-01 02:48:34 UTC; Youjin
Repository: CRAN
Date/Publication: 2018-10-08 12:40:06 UTC

More information about logisticRR at CRAN
Permanent link

New package HCR with initial version 0.1.0
Package: HCR
Type: Package
Title: Causal Discovery on Discrete Data using Hidden Compact Representation
Version: 0.1.0
Authors@R: c(person("Jie","Qiao",email="qiaojie.chn@gmail.com",role=c("aut","cre")), person("Ruichu","Cai",email="cairuichu@gmail.com",role=c("ths","aut")), person("Kun","Zhang",email="kunz1@andrew.cmu.edu",role=c("ths","aut")), person("Zhenjie","Zhang",email="zhenjie.zhang@yitu-inc.com",role=c("ths","aut")), person("Zhifeng","Hao",email="zfhao@gdut.edu.cn",role=c("ths","aut")) )
Author: Jie Qiao [aut, cre], Ruichu Cai [ths, aut], Kun Zhang [ths, aut], Zhenjie Zhang [ths, aut], Zhifeng Hao [ths, aut]
Maintainer: Jie Qiao <qiaojie.chn@gmail.com>
Description: This code provides a method to fit the hidden compact representation model as well as to identify the causal direction on discrete data. We implement an effective solution to recover the above hidden compact representation under the likelihood framework. Please see the Causal Discovery on Discrete Data using Hidden Compact Representation from NIPS 2018 by Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang and Zhifeng Hao (2018) <https://nips.cc/Conferences/2018/Schedule?showEvent=11274> for a description of some of our methods.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: data.table (>= 1.10.4), methods
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2018-10-08 11:49:22 UTC; qj
Repository: CRAN
Date/Publication: 2018-10-08 12:30:03 UTC

More information about HCR at CRAN
Permanent link

Package ggspectra updated to version 0.3.0 with previous version 0.2.4-1 dated 2018-05-07

Title: Extensions to 'ggplot2' for Radiation Spectra
Description: Additional annotations, and stats for plotting "light" spectra with 'ggplot2', together with specializations of ggplot() and plot() methods for spectral data stored in objects of the classes defined in package 'photobiology' and a plot() method for objects of class "waveband", also defined in package 'photobiology'. Part of the 'r4photobiology' suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
Author: Pedro J. Aphalo [aut, cre] (<https://orcid.org/0000-0003-3385-972X>), Titta K. Kotilainen [ctb] (<https://orcid.org/0000-0002-2822-9734>)
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

Diff between ggspectra versions 0.2.4-1 dated 2018-05-07 and 0.3.0 dated 2018-10-08

 ggspectra-0.2.4-1/ggspectra/R/axis-utils_wlength.R               |only
 ggspectra-0.2.4-1/ggspectra/R/plot-cps-spct.R                    |only
 ggspectra-0.2.4-1/ggspectra/R/plot-filter-spct.R                 |only
 ggspectra-0.2.4-1/ggspectra/R/plot-raw-spct.R                    |only
 ggspectra-0.2.4-1/ggspectra/R/plot-response-spct.R               |only
 ggspectra-0.3.0/ggspectra/DESCRIPTION                            |   21 
 ggspectra-0.3.0/ggspectra/MD5                                    |  198 -
 ggspectra-0.3.0/ggspectra/NAMESPACE                              |   10 
 ggspectra-0.3.0/ggspectra/NEWS                                   |   25 
 ggspectra-0.3.0/ggspectra/R/autoplot.R                           |only
 ggspectra-0.3.0/ggspectra/R/axis-utils-wlength.R                 |only
 ggspectra-0.3.0/ggspectra/R/common-plot-utils.R                  |only
 ggspectra-0.3.0/ggspectra/R/ggplot-methods.R                     |   12 
 ggspectra-0.3.0/ggspectra/R/ggspectra.R                          |   10 
 ggspectra-0.3.0/ggspectra/R/plot-calibration-spct.R              |   59 
 ggspectra-0.3.0/ggspectra/R/plot-cps-spct.r                      |only
 ggspectra-0.3.0/ggspectra/R/plot-filter-spct.r                   |only
 ggspectra-0.3.0/ggspectra/R/plot-raw-spct.r                      |only
 ggspectra-0.3.0/ggspectra/R/plot-response-spct.r                 |only
 ggspectra-0.3.0/ggspectra/R/plot-source-spct.r                   |  121 
 ggspectra-0.3.0/ggspectra/R/plot-waveband.R                      |   15 
 ggspectra-0.3.0/ggspectra/R/stat-color.R                         |   12 
 ggspectra-0.3.0/ggspectra/R/stat-find-wls.R                      |only
 ggspectra-0.3.0/ggspectra/R/stat-label-peaks.R                   |  243 -
 ggspectra-0.3.0/ggspectra/R/stat-peaks.R                         |   34 
 ggspectra-0.3.0/ggspectra/R/stat-wb-box.R                        |   38 
 ggspectra-0.3.0/ggspectra/R/stat-wb-column.R                     |   49 
 ggspectra-0.3.0/ggspectra/R/stat-wb-contribution.R               |   44 
 ggspectra-0.3.0/ggspectra/R/stat-wb-hbar.R                       |   36 
 ggspectra-0.3.0/ggspectra/R/stat-wb-irrad.R                      |   64 
 ggspectra-0.3.0/ggspectra/R/stat-wb-label.R                      |   26 
 ggspectra-0.3.0/ggspectra/R/stat-wb-mean.R                       |   61 
 ggspectra-0.3.0/ggspectra/R/stat-wb-relative.R                   |   22 
 ggspectra-0.3.0/ggspectra/R/stat-wb-sirrad.R                     |   64 
 ggspectra-0.3.0/ggspectra/R/stat-wb-total.R                      |   64 
 ggspectra-0.3.0/ggspectra/R/stat-wl-strip.R                      |    4 
 ggspectra-0.3.0/ggspectra/R/stat-wl-summary.R                    |   30 
 ggspectra-0.3.0/ggspectra/README.md                              |  103 
 ggspectra-0.3.0/ggspectra/build/vignette.rds                     |binary
 ggspectra-0.3.0/ggspectra/inst/doc/userguide1-grammar.R          |   52 
 ggspectra-0.3.0/ggspectra/inst/doc/userguide1-grammar.Rmd        |   55 
 ggspectra-0.3.0/ggspectra/inst/doc/userguide1-grammar.html       | 1371 +++++-----
 ggspectra-0.3.0/ggspectra/inst/doc/userguide2-plot-methods.R     |   47 
 ggspectra-0.3.0/ggspectra/inst/doc/userguide2-plot-methods.Rmd   |   97 
 ggspectra-0.3.0/ggspectra/inst/doc/userguide2-plot-methods.html  |  499 ++-
 ggspectra-0.3.0/ggspectra/man/A_internal_label.Rd                |    8 
 ggspectra-0.3.0/ggspectra/man/A_plot.Rd                          |   19 
 ggspectra-0.3.0/ggspectra/man/Afr_plot.Rd                        |   30 
 ggspectra-0.3.0/ggspectra/man/O_plot.Rd                          |   22 
 ggspectra-0.3.0/ggspectra/man/R_plot.Rd                          |   20 
 ggspectra-0.3.0/ggspectra/man/Rfr_specular_label.Rd              |    4 
 ggspectra-0.3.0/ggspectra/man/T_plot.Rd                          |   20 
 ggspectra-0.3.0/ggspectra/man/Tfr_internal_label.Rd              |    4 
 ggspectra-0.3.0/ggspectra/man/autoplot.Rd                        |only
 ggspectra-0.3.0/ggspectra/man/cal_plot.Rd                        |   18 
 ggspectra-0.3.0/ggspectra/man/color_chart.Rd                     |    5 
 ggspectra-0.3.0/ggspectra/man/cps_label.Rd                       |    4 
 ggspectra-0.3.0/ggspectra/man/cps_plot.Rd                        |   14 
 ggspectra-0.3.0/ggspectra/man/decoration.Rd                      |    4 
 ggspectra-0.3.0/ggspectra/man/e_plot.Rd                          |   25 
 ggspectra-0.3.0/ggspectra/man/e_rsp_plot.Rd                      |   24 
 ggspectra-0.3.0/ggspectra/man/exponent2prefix.Rd                 |    4 
 ggspectra-0.3.0/ggspectra/man/figures/README-example-1.png       |binary
 ggspectra-0.3.0/ggspectra/man/figures/README-example2-1.png      |binary
 ggspectra-0.3.0/ggspectra/man/find_idfactor.Rd                   |only
 ggspectra-0.3.0/ggspectra/man/gg2spectra-ggproto.Rd              |   29 
 ggspectra-0.3.0/ggspectra/man/ggplot.Rd                          |   32 
 ggspectra-0.3.0/ggspectra/man/ggspectra-package.Rd               |   18 
 ggspectra-0.3.0/ggspectra/man/plot.calibration_spct.Rd           |   26 
 ggspectra-0.3.0/ggspectra/man/plot.cps_spct.Rd                   |   36 
 ggspectra-0.3.0/ggspectra/man/plot.filter_spct.Rd                |   30 
 ggspectra-0.3.0/ggspectra/man/plot.generic_spct.Rd               |only
 ggspectra-0.3.0/ggspectra/man/plot.object_spct.Rd                |   31 
 ggspectra-0.3.0/ggspectra/man/plot.raw_spct.Rd                   |   38 
 ggspectra-0.3.0/ggspectra/man/plot.reflector_spct.Rd             |   40 
 ggspectra-0.3.0/ggspectra/man/plot.response_spct.Rd              |   37 
 ggspectra-0.3.0/ggspectra/man/plot.source_spct.Rd                |   33 
 ggspectra-0.3.0/ggspectra/man/plot.waveband.Rd                   |   20 
 ggspectra-0.3.0/ggspectra/man/q_plot.Rd                          |   24 
 ggspectra-0.3.0/ggspectra/man/q_rsp_plot.Rd                      |   24 
 ggspectra-0.3.0/ggspectra/man/raw_plot.Rd                        |   24 
 ggspectra-0.3.0/ggspectra/man/s.e.irrad_label.Rd                 |    8 
 ggspectra-0.3.0/ggspectra/man/scale_x_wl_continuous.Rd           |    6 
 ggspectra-0.3.0/ggspectra/man/scale_y_counts_continuous.Rd       |    4 
 ggspectra-0.3.0/ggspectra/man/scale_y_cps_continuous.Rd          |    5 
 ggspectra-0.3.0/ggspectra/man/scale_y_s.e.irrad_continuous.Rd    |    4 
 ggspectra-0.3.0/ggspectra/man/scale_y_s.e.response_continuous.Rd |    4 
 ggspectra-0.3.0/ggspectra/man/sec_axis_w_number.Rd               |    2 
 ggspectra-0.3.0/ggspectra/man/stat_color.Rd                      |   20 
 ggspectra-0.3.0/ggspectra/man/stat_find_qtys.Rd                  |only
 ggspectra-0.3.0/ggspectra/man/stat_find_wls.Rd                   |only
 ggspectra-0.3.0/ggspectra/man/stat_label_peaks.Rd                |  138 -
 ggspectra-0.3.0/ggspectra/man/stat_peaks.Rd                      |   21 
 ggspectra-0.3.0/ggspectra/man/stat_wb_box.Rd                     |   26 
 ggspectra-0.3.0/ggspectra/man/stat_wb_column.Rd                  |   21 
 ggspectra-0.3.0/ggspectra/man/stat_wb_contribution.Rd            |    3 
 ggspectra-0.3.0/ggspectra/man/stat_wb_hbar.Rd                    |    3 
 ggspectra-0.3.0/ggspectra/man/stat_wb_irrad.Rd                   |   37 
 ggspectra-0.3.0/ggspectra/man/stat_wb_label.Rd                   |   18 
 ggspectra-0.3.0/ggspectra/man/stat_wb_mean.Rd                    |   33 
 ggspectra-0.3.0/ggspectra/man/stat_wb_relative.Rd                |   25 
 ggspectra-0.3.0/ggspectra/man/stat_wb_sirrad.Rd                  |   33 
 ggspectra-0.3.0/ggspectra/man/stat_wb_total.Rd                   |   34 
 ggspectra-0.3.0/ggspectra/man/stat_wl_strip.Rd                   |   10 
 ggspectra-0.3.0/ggspectra/man/stat_wl_summary.Rd                 |   13 
 ggspectra-0.3.0/ggspectra/man/w_length_label.Rd                  |   14 
 ggspectra-0.3.0/ggspectra/man/w_number.Rd                        |    2 
 ggspectra-0.3.0/ggspectra/vignettes/userguide1-grammar.Rmd       |   55 
 ggspectra-0.3.0/ggspectra/vignettes/userguide2-plot-methods.Rmd  |   97 
 109 files changed, 2845 insertions(+), 1944 deletions(-)

More information about ggspectra at CRAN
Permanent link

New package divDyn with initial version 0.6.1
Package: divDyn
Type: Package
Title: Diversity Dynamics using Fossil Sampling Data
Version: 0.6.1
Author: Adam T. Kocsis, John Alroy, Carl J. Reddin, Wolfgang Kiessling
Maintainer: Adam T. Kocsis <adam.kocsis@outlook.com>
Description: Functions to describe sampling and diversity dynamics of fossil occurrence datasets (e.g. from the Paleobiology Database). The package includes methods to calculate range- and occurrence-based metrics of taxonomic richness, extinction and origination rates, along with traditional sampling measures. A powerful subsampling tool is also included that implements frequently used sampling standardization methods in a multiple bin-framework. The plotting of time series and the occurrence data can be simplified by the functions incorporated in the package, as well other calculations, such as environmental affinities and extinction selectivity testing. Details can be found in: Kocsis, A.T.; Reddin, C.J.; Alroy, J. and Kiessling, W. (2018) <doi:10.1101/423780>.
License: CC BY 4.0
Date: 2018-10-01
Encoding: UTF-8
LazyData: false
Depends: R (>= 3.3.0)
Imports: Rcpp, stats, graphics, grDevices
NeedsCompilation: yes
RoxygenNote: 6.0.1
LinkingTo: Rcpp
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
Packaged: 2018-10-01 07:53:22 UTC; kocsis
Repository: CRAN
Date/Publication: 2018-10-08 12:40:09 UTC

More information about divDyn at CRAN
Permanent link

Package deming updated to version 1.3 with previous version 1.2 dated 2018-06-19

Title: Deming, Thiel-Sen and Passing-Bablock Regression
Description: Generalized Deming regression, Theil-Sen regression and Passing-Bablock regression functions.
Author: Terry Therneau
Maintainer: Terry Therneau <therneau.terry@mayo.edu>

Diff between deming versions 1.2 dated 2018-06-19 and 1.3 dated 2018-10-08

 DESCRIPTION            |    6 +++---
 MD5                    |   14 +++++++-------
 R/deming.R             |    1 -
 inst/NEWS.Rd           |    6 ++++++
 inst/doc/deming.pdf    |binary
 noweb/demingsource.Rnw |    1 -
 tests/dtest.R          |   11 +++++++++++
 tests/dtest.Rout.save  |   21 ++++++++++++++++-----
 8 files changed, 43 insertions(+), 17 deletions(-)

More information about deming at CRAN
Permanent link

Package qle updated to version 0.18 with previous version 0.17 dated 2018-03-16

Title: Simulation-Based Quasi-Likelihood Estimation
Description: A simulation-based quasi-likelihood method (Baaske, M., Ballani, F., v.d. Boogaart, K.G. (2014) <doi:10.5566/ias.v33.p107-119>) for parameter estimation of parametric statistical models for which closed-form representations of distributional characteristics are unavailable and can only be obtained by computationally intensive simulations of the model.
Author: Markus Baaske [aut, cre, cph], K. Gerald van den Boogaart [ths]
Maintainer: Markus Baaske <markus.baaske@uni-jena.de>

Diff between qle versions 0.17 dated 2018-03-16 and 0.18 dated 2018-10-08

 DESCRIPTION                |   12 -
 MD5                        |   92 ++++++-----
 NAMESPACE                  |    1 
 NEWS                       |   14 +
 R/covariance.R             |    4 
 R/krige.R                  |  133 +++++++++++++++-
 R/qle-package.R            |   36 ++++
 R/qleTest.R                |   57 +++---
 R/qsOpt.R                  |  170 ++++++++++++--------
 R/simQLData.R              |   70 +++++---
 build/vignette.rds         |binary
 data/datalist              |    2 
 data/matclust.rda          |binary
 data/mm1q.rda              |only
 data/normal.rda            |binary
 data/qleresult.rda         |only
 inst/doc/qle_with_R.R      |  372 +++++++++++++++++++++++++++------------------
 inst/doc/qle_with_R.Rnw    |  365 +++++++++++++++++++++++++-------------------
 inst/doc/qle_with_R.pdf    |binary
 inst/examples              |only
 man/OPT.Rd                 |only
 man/QLmodel.Rd             |    3 
 man/checkMultRoot.Rd       |    7 
 man/crossValTx.Rd          |    6 
 man/estim.Rd               |    2 
 man/fitCov.Rd              |    3 
 man/fitSIRFk.Rd            |    2 
 man/getQLmodel.Rd          |    4 
 man/krige.Rd               |    2 
 man/mahalDist.Rd           |    8 
 man/mm1q.Rd                |only
 man/multiDimLHS.Rd         |    4 
 man/multiSearch.Rd         |   13 -
 man/optStat.Rd             |only
 man/qle.Rd                 |   51 ++++--
 man/qleTest.Rd             |   14 +
 man/qscoring.Rd            |    3 
 man/qsd.Rd                 |    2 
 man/setCovModel.Rd         |    6 
 man/setQLdata.Rd           |    4 
 man/updateCovModels.Rd     |    4 
 src/Makevars               |   11 +
 src/error.h                |   11 -
 tests/test_normal_mahal.R  |only
 vignettes/introduction.tex |    3 
 vignettes/qle_with_R.Rnw   |  365 +++++++++++++++++++++++++-------------------
 vignettes/qlebib.bib       |   13 +
 47 files changed, 1183 insertions(+), 686 deletions(-)

More information about qle at CRAN
Permanent link

Package comorbidity updated to version 0.2.0 with previous version 0.1.1 dated 2018-03-30

Title: Computing Comorbidity Scores
Description: Computing comorbidity scores such as the weighted Charlson score (Charlson, 1987 <doi:10.1016/0021-9681(87)90171-8>) and the Elixhauser comorbidity score (Elixhauser, 1998 <doi:10.1097/00005650-199801000-00004>) using ICD-9-CM or ICD-10 codes (Quan, 2005 <doi:10.1097/01.mlr.0000182534.19832.83>).
Author: Alessandro Gasparini [aut, cre] (<https://orcid.org/0000-0002-8319-7624>), Hojjat Salmasian [ctb] (ICD-9-CM scores)
Maintainer: Alessandro Gasparini <ag475@leicester.ac.uk>

Diff between comorbidity versions 0.1.1 dated 2018-03-30 and 0.2.0 dated 2018-10-08

 DESCRIPTION                            |   26 
 MD5                                    |   72 
 NAMESPACE                              |   10 
 NEWS.md                                |   88 
 R/comorbidity-package.R                |only
 R/comorbidity.R                        |  372 +--
 R/data.R                               |  164 +
 R/detect.R                             |only
 R/factorise.R                          |only
 R/labelled.R                           |only
 R/sample_diag.R                        |  130 -
 R/scores.R                             |  338 +--
 R/sysdata.rda                          |only
 R/tidy.R                               |only
 README.md                              |  630 +++--
 build/partial.rdb                      |only
 build/vignette.rds                     |binary
 data/australia10.rda                   |only
 data/datalist                          |only
 data/icd10cm_2017.rda                  |only
 data/icd10cm_2018.rda                  |only
 data/nhds2010.rda                      |only
 inst/CITATION                          |   26 
 inst/doc/comorbidityscores.R           |   84 
 inst/doc/comorbidityscores.Rmd         |  658 +++---
 inst/doc/comorbidityscores.html        | 1224 +++++------
 man/australia10.Rd                     |only
 man/comorbidity-package.Rd             |only
 man/comorbidity.Rd                     |  272 +-
 man/figures                            |only
 man/icd10_2009.Rd                      |   52 
 man/icd10_2011.Rd                      |   52 
 man/icd10cm_2017.Rd                    |only
 man/icd10cm_2018.Rd                    |only
 man/icd9_2015.Rd                       |   50 
 man/nhds2010.Rd                        |only
 man/sample_diag.Rd                     |   64 
 tests/testthat.R                       |    6 
 tests/testthat/test-charlson-icd10.R   | 2542 +++++++++++------------
 tests/testthat/test-charlson-icd9.R    | 1784 ++++++++--------
 tests/testthat/test-comorbidity.R      | 1018 ++++-----
 tests/testthat/test-data.R             |   26 
 tests/testthat/test-elixhauser-icd10.R | 3592 ++++++++++++++++-----------------
 tests/testthat/test-elixhauser-icd9.R  | 2754 ++++++++++++-------------
 tests/testthat/test-sample_diag.R      |  162 -
 vignettes/comorbidityscores.Rmd        |  658 +++---
 46 files changed, 8442 insertions(+), 8412 deletions(-)

More information about comorbidity at CRAN
Permanent link

Package coda updated to version 0.19-2 with previous version 0.19-1 dated 2016-12-08

Title: Output Analysis and Diagnostics for MCMC
Description: Provides functions for summarizing and plotting the output from Markov Chain Monte Carlo (MCMC) simulations, as well as diagnostic tests of convergence to the equilibrium distribution of the Markov chain.
Author: Martyn Plummer [aut, cre, trl], Nicky Best [aut], Kate Cowles [aut], Karen Vines [aut], Deepayan Sarkar [aut], Douglas Bates [aut], Russell Almond [aut], Arni Magnusson [aut]
Maintainer: Martyn Plummer <martyn.plummer@gmail.com>

Diff between coda versions 0.19-1 dated 2016-12-08 and 0.19-2 dated 2018-10-08

 CHANGELOG          |    3 +++
 DESCRIPTION        |   12 ++++++------
 MD5                |   10 +++++-----
 R/gelman.R         |    5 +++--
 data/line.rda      |binary
 man/gelman.plot.Rd |    6 ++++--
 6 files changed, 21 insertions(+), 15 deletions(-)

More information about coda at CRAN
Permanent link

New package TSEntropies with initial version 0.9
Package: TSEntropies
Title: Time Series Entropies
Version: 0.9
Authors@R: person("Jiri", "Tomcala", email = "jiri.tomcala@vsb.cz", role = c("aut", "cre"))
Description: Computes various entropies of given time series. This is the initial version that includes ApEn() and SampEn() functions for calculating approximate entropy and sample entropy. Approximate entropy was proposed by S.M. Pincus in "Approximate entropy as a measure of system complexity", Proceedings of the National Academy of Sciences of the United States of America, 88, 2297-2301 (March 1991). Sample entropy was proposed by J. S. Richman and J. R. Moorman in "Physiological time-series analysis using approximate entropy and sample entropy", American Journal of Physiology, Heart and Circulatory Physiology, 278, 2039-2049 (June 2000). This package also contains FastApEn() and FastSampEn() functions for calculating fast approximate entropy and fast sample entropy. These are newly designed very fast algorithms, resulting from the modification of the original algorithms. The calculated values of these entropies are not the same as the original ones, but the entropy trend of the analyzed time series determines equally reliably. Their main advantage is their speed, which is up to a thousand times higher. A scientific article describing their properties has been submitted to The Journal of Supercomputing and in present time it is waiting for the acceptance.
Depends: R (>= 3.4.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
RoxygenNote: 6.1.0.9000
Author: Jiri Tomcala [aut, cre]
Maintainer: Jiri Tomcala <jiri.tomcala@vsb.cz>
Packaged: 2018-10-01 08:36:54 UTC; jirka
Repository: CRAN
Date/Publication: 2018-10-08 11:00:07 UTC

More information about TSEntropies at CRAN
Permanent link

New package stationery with initial version 0.98.5.5
Package: stationery
Type: Package
Title: Working Examples for Reproducible Research Documents
Version: 0.98.5.5
Date: 2018-09-12
Authors@R: c(person("Paul", "Johnson", role = c("aut", "cre"), email = "pauljohn@ku.edu"), person("Brent", "Kaplan", role = c("ctb"), email = "bkaplan4@ku.edu"), person("Meghan", "Sullivan", role = c("ctb"), email = "meg.sullivan@ku.edu"), person("Charles", "Redmon", role = "ctb", email = "redmon@ku.edu"), person("Zack", "Roman", role = "ctb", email = "zroman@ku.edu"), person("Chong", "Xing", role = "ctb", email = "cxing@ku.edu"))
Maintainer: Paul Johnson <pauljohn@ku.edu>
Description: Templates, guides, and scripts for writing documents in 'LaTeX' and 'R markdown' to produce guides, slides, and reports. Special care is taken to illustrate use of templates and customization opportunities. Challenges and opportunities of 'HTML' output from 'R markdown' receive special attention. Includes several vignettes to assist new users of literate programming.
License: CC BY-SA 4.0
Imports: kutils, rmarkdown, knitr
Suggests: rockchalk, xtable, lavaan, utils, psych, pander
LazyData: TRUE
RoxygenNote: 6.0.1
VignetteBuilder: knitr, utils
NeedsCompilation: no
Packaged: 2018-09-12 21:32:08 UTC; pauljohn
Author: Paul Johnson [aut, cre], Brent Kaplan [ctb], Meghan Sullivan [ctb], Charles Redmon [ctb], Zack Roman [ctb], Chong Xing [ctb]
Repository: CRAN
Date/Publication: 2018-10-08 10:30:03 UTC

More information about stationery at CRAN
Permanent link

New package SMUT with initial version 1.0
Package: SMUT
Type: Package
Title: Multi-SNP Mediation Intersection-Union Test
Version: 1.0
Author: Wujuan Zhong
Maintainer: Wujuan Zhong <zhongwujuan@gmail.com>
Description: Testing the mediation effect of multiple SNPs on an outcome through a gene.
LazyData: true
License: GPL (>= 2)
Depends: R (>= 2.10)
Imports: Rcpp (>= 0.12.14), SKAT, MASS
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
Packaged: 2018-09-30 18:06:15 UTC; Fox
Repository: CRAN
Date/Publication: 2018-10-08 10:30:09 UTC

More information about SMUT at CRAN
Permanent link

New package SCINA with initial version 1.0.0
Package: SCINA
Type: Package
Title: A Semi-Supervised Category Identification and Assignment Tool
Version: 1.0.0
Date: 2018-09-18
Author: Ze Zhang
Maintainer: Ze Zhang <Ze.Zhang@utsouthwestern.edu>
Depends: R (>= 2.15.0), MASS, gplots
Description: An automatic cell type detection and assignment algorithm for single cell RNA-Seq and Cytof/FACS data. 'SCINA' is capable of assigning cell type identities to a pool of cells profiled by scRNA-Seq or Cytof/FACS data with prior knowledge of markers, such as genes and protein symbols that are highly or lowly expressed in each category.
URL: http://lce.biohpc.swmed.edu/scina/ https://github.com/jcao89757/SCINA
License: GPL-2
NeedsCompilation: no
RoxygenNote: 6.1.0
Packaged: 2018-09-30 19:14:31 UTC; s421955
Repository: CRAN
Date/Publication: 2018-10-08 11:00:10 UTC

More information about SCINA at CRAN
Permanent link

New package rIP with initial version 0.1.0
Package: rIP
Type: Package
Title: Passes an Array of IP Addresses to Iphub.info and Returns a Dataframe with Details of IP
Version: 0.1.0
Authors@R: c(person("Ryan", "Kennedy", role = c("aut", "cre"), email = "rkennedy@uh.edu"), person("Philip", "Waggoner", role = "aut", email = "pdwaggoner@wm.edu"), person("Scott", "Clifford", role = "ctb"))
Maintainer: Ryan Kennedy <rkennedy@uh.edu>
Description: Takes as its input an array of IPs and the user's X-Key, passes these to <https://iphub.info/>, and returns a dataframe with the ip (used for merging), country code, country name, asn, isp, block, and hostname. Especially important in this is the variable "block", which gives a score indicating whether the IP address is likely from a server farm and should be excluded from the data. It is codes 0 if the IP is residential/unclassified (i.e. safe IP), 1 if the IP is non-residential IP (hostping provider, proxy, etc. -- should likely be excluded), and 2 for non-residential and residential IPs (more stringent, may flag innocent respondents). The recommendation from <https://iphub.info/> is to block or exclude those who score block = 1.
Imports: httr, utils
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-09-30 15:00:28 UTC; bpwaggo
Author: Ryan Kennedy [aut, cre], Philip Waggoner [aut], Scott Clifford [ctb]
Repository: CRAN
Date/Publication: 2018-10-08 10:40:06 UTC

More information about rIP at CRAN
Permanent link

New package rgsp with initial version 0.1.0
Package: rgsp
Type: Package
Title: Repetitive Group Sampling Plan Based on Cpk
Version: 0.1.0
Authors@R: c( person(c("Muhammad", "Yaseen"), email = "myaseen208@gmail.com", role = c("aut", "cre")) , person(c("Muhammad", "Aslam"), email = "aslam_ravian@hotmail.com", role = c("aut", "ctb")) , person(c("Sami", "Ullah"), email = "samiullahuos@gmail.com", role = c("aut", "ctb")) , person(c("Muhammad", "Kashif"), email = "mkashif@uaf.edu.pk", role = c("aut", "ctb")) )
Author: Muhammad Yaseen [aut, cre], Muhammad Aslam [aut, ctb], Sami Ullah [aut, ctb], Muhammad Kashif [aut, ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>
Description: Functions to calculate Sample Number and Average Sample Number for Repetitive Group Sampling Plan Based on Cpk as given in Aslam et al. (2013) (<DOI:10.1080/00949655.2012.663374>).
Depends: R (>= 3.1)
Imports: dplyr, magrittr, tibble
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Note: Department of Mathematics and Statistics, University of Agriculture Faisalabad, Faisalabad-Pakistan.
Suggests: testthat
NeedsCompilation: no
Packaged: 2018-09-30 17:00:37 UTC; myaseen
Repository: CRAN
Date/Publication: 2018-10-08 10:40:03 UTC

More information about rgsp at CRAN
Permanent link

Package princurve updated to version 2.1.3 with previous version 2.1.2.1 dated 2018-08-02

Title: Fits a Principal Curve in Arbitrary Dimension
Description: Fitting a principal curve to a data matrix in arbitrary dimensions.
Author: Trevor Hastie [aut], Andreas Weingessel [aut], Kurt Hornik [aut] (<https://orcid.org/0000-0003-4198-9911>), Henrik Bengtsson [ctb] (HenrikBengtsson), Robrecht Cannoodt [aut, cre] (<https://orcid.org/0000-0003-3641-729X>, rcannood)
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>

Diff between princurve versions 2.1.2.1 dated 2018-08-02 and 2.1.3 dated 2018-10-08

 princurve-2.1.2.1/princurve/R/data.R                             |only
 princurve-2.1.2.1/princurve/build                                |only
 princurve-2.1.2.1/princurve/data                                 |only
 princurve-2.1.2.1/princurve/inst/doc                             |only
 princurve-2.1.2.1/princurve/man/benchmarks.Rd                    |only
 princurve-2.1.2.1/princurve/man/figures/README_example-1.gif     |only
 princurve-2.1.2.1/princurve/tests/testthat/test-timings.R        |only
 princurve-2.1.2.1/princurve/vignettes                            |only
 princurve-2.1.3/princurve/DESCRIPTION                            |   62 +++----
 princurve-2.1.3/princurve/MD5                                    |   32 +--
 princurve-2.1.3/princurve/R/get.lam.R                            |    8 
 princurve-2.1.3/princurve/R/principal.curve.R                    |    9 -
 princurve-2.1.3/princurve/README.md                              |   82 ++++++----
 princurve-2.1.3/princurve/inst/NEWS                              |    8 
 princurve-2.1.3/princurve/man/figures/README_example-1.png       |only
 princurve-2.1.3/princurve/man/figures/README_princurve-1.png     |only
 princurve-2.1.3/princurve/man/principal.curve.Rd                 |    2 
 princurve-2.1.3/princurve/man/principal_curve.Rd                 |    5 
 princurve-2.1.3/princurve/tests/testthat/test-legacy_princurve.R |   24 --
 princurve-2.1.3/princurve/tests/testthat/test-principal_curve.R  |    8 
 princurve-2.1.3/princurve/tests/testthat/test-project_to_curve.R |    8 
 21 files changed, 126 insertions(+), 122 deletions(-)

More information about princurve at CRAN
Permanent link

Package prais updated to version 1.0.0 with previous version 0.1.1 dated 2015-03-19

Title: Prais-Winsten Estimator for AR(1) Serial Correlation
Description: The Prais-Winsten estimator takes into account AR(1) serial correlation of the errors in a linear regression model. The procedure recursively estimates the coefficients and the error autocorrelation of the specified model until sufficient convergence of the AR(1) coefficient is attained.
Author: Franz X. Mohr [aut, cre]
Maintainer: Franz X. Mohr <prais.r@outlook.com>

Diff between prais versions 0.1.1 dated 2015-03-19 and 1.0.0 dated 2018-10-08

 prais-0.1.1/prais/R/prais.winsten.R       |only
 prais-0.1.1/prais/man/prais-package.Rd    |only
 prais-0.1.1/prais/man/prais.winsten.Rd    |only
 prais-1.0.0/prais/DESCRIPTION             |   26 +++++++++++++++++---------
 prais-1.0.0/prais/MD5                     |   15 ++++++++++-----
 prais-1.0.0/prais/NAMESPACE               |    8 +++++++-
 prais-1.0.0/prais/R/prais_winsten.R       |only
 prais-1.0.0/prais/R/print.prais.R         |only
 prais-1.0.0/prais/R/print.summary.prais.R |only
 prais-1.0.0/prais/R/pw_transform.R        |only
 prais-1.0.0/prais/R/summary.prais.R       |only
 prais-1.0.0/prais/man/prais_winsten.Rd    |only
 prais-1.0.0/prais/man/pw_transform.Rd     |only
 prais-1.0.0/prais/man/summary.prais.Rd    |only
 14 files changed, 34 insertions(+), 15 deletions(-)

More information about prais at CRAN
Permanent link

Package PPCI updated to version 0.1.3 with previous version 0.1.2 dated 2018-03-15

Title: Projection Pursuit for Cluster Identification
Description: Implements recently developed projection pursuit algorithms for finding optimal linear cluster separators. The clustering algorithms use optimal hyperplane separators based on minimum density, Pavlidis et. al (2016) <https://jmlr.csail.mit.edu/papers/volume17/15-307/15-307.pdf>; minimum normalised cut, Hofmeyr (2017) <doi:10.1109/TPAMI.2016.2609929>; and maximum variance ratio clusterability, Hofmeyr and Pavlidis (2015) <doi:10.1109/SSCI.2015.116>.
Author: David Hofmeyr <dhofmeyr@sun.ac.za> [aut, cre] Nicos Pavlidis <n.pavlidis@lancaster.ac.uk> [aut]
Maintainer: David Hofmeyr <dhofmeyr@sun.ac.za>

Diff between PPCI versions 0.1.2 dated 2018-03-15 and 0.1.3 dated 2018-10-08

 DESCRIPTION                          |   11 
 MD5                                  |   53 -
 NAMESPACE                            |   12 
 R/MCDC.R                             |  824 +++++++++++------------
 R/density.R                          | 1234 +++++++++++++++++------------------
 R/image_plots.R                      |only
 R/min_cut.R                          |  897 ++++++++++++-------------
 R/multi_var_projections.R            |only
 R/newplots.R                         |  104 ++
 R/nodeplot.R                         |   77 +-
 R/prune.R                            |  722 +++++++++-----------
 build/partial.rdb                    |binary
 man/PPCI-package.Rd                  |   94 +-
 man/hp_plot.Rd                       |   17 
 man/mcdc.Rd                          |   96 +-
 man/mcdr.Rd                          |only
 man/mch.Rd                           |   95 +-
 man/mddc.Rd                          |    2 
 man/mddr.Rd                          |only
 man/mdh.Rd                           |  101 +-
 man/ncutdc.Rd                        |   90 +-
 man/ncutdr.Rd                        |only
 man/ncuth.Rd                         |   93 +-
 man/node_plot.Rd                     |   42 -
 man/optidigits_mean_images.Rd        |only
 man/plot.ppci_cluster_solution.Rd    |only
 man/plot.ppci_hyperplane_solution.Rd |only
 man/plot.ppci_projection_solution.Rd |only
 man/success_ratio.Rd                 |   60 -
 man/tree_plot.Rd                     |   42 -
 man/tree_prune.Rd                    |    2 
 man/tree_split.Rd                    |    4 
 32 files changed, 2395 insertions(+), 2277 deletions(-)

More information about PPCI at CRAN
Permanent link

New package parmsurvfit with initial version 0.0.1
Package: parmsurvfit
Title: Parametric Survival Functions
Version: 0.0.1
Authors@R: c(person("Ashley", "Jacobson", email = "ashleypjacobson@gmail.com", role = c("aut", "cre")), person("Victor", "Wilson", email = "victorjw26@yahoo.com", role = c("aut")), person("Shannon", "Pileggi", email = "skmcclintock@gmail.com", role = c("aut")))
Description: Executes parametric survival analysis techniques similar to those in 'Minitab'. Fits right censored data to a given parametric distribution, produces summary statistics of the fitted distribution, and plots parametric survival, hazard, and cumulative hazard plots. Produces Anderson-Darling test statistic and probability plots to assess goodness of fit of right censored data to a distribution.
Depends: R (>= 3.5.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Imports: fitdistrplus, flexsurv, ggplot2, stats, graphics
Suggests: survival, utils, knitr, rmarkdown
VignetteBuilder: utils, knitr
NeedsCompilation: no
Packaged: 2018-10-06 22:08:14 UTC; ashle
Author: Ashley Jacobson [aut, cre], Victor Wilson [aut], Shannon Pileggi [aut]
Maintainer: Ashley Jacobson <ashleypjacobson@gmail.com>
Repository: CRAN
Date/Publication: 2018-10-08 10:10:06 UTC

More information about parmsurvfit at CRAN
Permanent link

New package MCSim with initial version 1.0
Package: MCSim
Type: Package
Title: Determine the Optimal Number of Clusters
Version: 1.0
Date: 2018-09-30
Author: Ahmed N. Albatineh, Meredith L. Wilcox, Bashar Zogheib, Magdalena Niewiadomska-Bugaj
Maintainer: Ahmed N. Albatineh <aalbatineh@hsc.edu.kw>
Description: Identifies the optimal number of clusters by calculating the similarity between two clustering methods at the same number of clusters using the corrected indices of Rand and Jaccard as described in Albatineh and Niewiadomska-Bugaj (2011). The number of clusters at which the index attain its maximum more frequently is a candidate for being the optimal number of clusters.
Depends: R (>= 3.1.0)
Imports: MASS,CircStats,stats,graphics
License: GPL-2
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2018-10-08 10:37:50 UTC; aalbatineh
Repository: CRAN
Date/Publication: 2018-10-08 11:00:17 UTC

More information about MCSim at CRAN
Permanent link

New package FourgameteP with initial version 0.1.0
Package: FourgameteP
Type: Package
Title: FourGamete Test
Version: 0.1.0
Author: Milton T Drott
Maintainer: Milton T Drott <mtd66@cornell.edu>
Description: The four-gamete test is based on the infinite-sites model which assumes that the probability of the same mutation occurring twice (recurrent or parallel mutations) and the probability of a mutation back to the original state (reverse mutations) are close to zero. Without these types of mutations, the only explanation for observing the four dilocus genotypes (example below) is recombination (Hudson and Kaplan 1985, Genetics 111:147-164). Thus, the presence of all four gametes is also called phylogenetic incompatibility.
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2018-09-30 18:55:13 UTC; mtd
Repository: CRAN
Date/Publication: 2018-10-08 10:50:03 UTC

More information about FourgameteP at CRAN
Permanent link

Package EpiStats updated to version 1.2 with previous version 1.1 dated 2018-06-05

Title: Tools for Epidemiologists
Description: Provides set of functions aimed at epidemiologists. They include commands for measures of association and impact for case control studies and cohort studies. They may be particularly useful for outbreak investigations and include univariate and stratified analyses. The functions for cohort studies include the CS(), CSTable() and CSInter() commands. The functions for case control studies include the CC(), CCTable() and CCInter() commands.
Author: Jean Pierre Decorps [aut, cre], Esther Kissling [ctb]
Maintainer: Jean Pierre Decorps <jp.decorps@epiconcept.fr>

Diff between EpiStats versions 1.1 dated 2018-06-05 and 1.2 dated 2018-10-08

 DESCRIPTION            |    8 ++---
 MD5                    |   26 ++++++++++-------
 NAMESPACE              |    6 ++--
 R/01_EpiFuns.R         |   33 ++++++++++++++++++++++
 R/CC_.R                |   38 +++++++++++++------------
 R/crosstable.R         |only
 R/orderFactors.R       |only
 README.md              |    4 ++
 build/vignette.rds     |binary
 inst/doc/EpiStats.R    |   35 +++++++++++++++++++++++
 inst/doc/EpiStats.Rmd  |   73 +++++++++++++++++++++++++++++++++++++++++++++----
 inst/doc/EpiStats.pdf  |binary
 man/CC.Rd              |    5 ++-
 man/crossTable.Rd      |only
 man/orderFactors.Rd    |only
 vignettes/EpiStats.Rmd |   73 +++++++++++++++++++++++++++++++++++++++++++++----
 16 files changed, 254 insertions(+), 47 deletions(-)

More information about EpiStats at CRAN
Permanent link

New package ectotemp with initial version 0.1.1
Package: ectotemp
Title: Quantitative Estimates of Small Ectotherm Temperature Regulation Effectiveness
Version: 0.1.1
Author: Wouter Beukema <wouter.beukema@gmail.com>
Maintainer: Wouter Beukema <wouter.beukema@gmail.com>
Description: Easy and rapid quantitative estimation of small terrestrial ectotherm temperature regulation effectiveness in R. 'ectotemp' is built on classical formulas that evaluate temperature regulation by means of various indices, inaugurated by Hertz et al. (1993) <doi: 10.1086/285573>. Options for bootstrapping and permutation testing are included to test hypotheses about divergence between organisms, species or populations.
Depends: R (>= 3.5.0)
Imports: dplyr, psych, stats, graphics
URL: https://github.com/wouterbeukema/ectotemp
BugReports: https://github.com/wouterbeukema/ectotemp/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2018-09-30 10:35:18 UTC; beukepap
Repository: CRAN
Date/Publication: 2018-10-08 10:20:03 UTC

More information about ectotemp at CRAN
Permanent link

Package DiceKriging updated to version 1.5.6 with previous version 1.5.5 dated 2015-04-24

Title: Kriging Methods for Computer Experiments
Description: Estimation, validation and prediction of kriging models. Important functions : km, print.km, plot.km, predict.km.
Author: Olivier Roustant, David Ginsbourger, Yves Deville. Contributors: Clement Chevalier, Yann Richet.
Maintainer: Olivier Roustant <roustant@emse.fr>

Diff between DiceKriging versions 1.5.5 dated 2015-04-24 and 1.5.6 dated 2018-10-08

 DiceKriging-1.5.5/DiceKriging/R/covStruct_Scaling_Affine.R     |only
 DiceKriging-1.5.5/DiceKriging/inst/tests                       |only
 DiceKriging-1.5.5/DiceKriging/man/affineScalingFun.Rd          |only
 DiceKriging-1.5.5/DiceKriging/man/affineScalingGrad.Rd         |only
 DiceKriging-1.5.5/DiceKriging/man/covAffineScaling-class.Rd    |only
 DiceKriging-1.5.5/DiceKriging/tests/run-all.R                  |only
 DiceKriging-1.5.6/DiceKriging/CHANGELOG                        |   19 
 DiceKriging-1.5.6/DiceKriging/DESCRIPTION                      |   15 
 DiceKriging-1.5.6/DiceKriging/MD5                              |   75 +-
 DiceKriging-1.5.6/DiceKriging/NAMESPACE                        |   22 
 DiceKriging-1.5.6/DiceKriging/R/checkNames.R                   |   54 +-
 DiceKriging-1.5.6/DiceKriging/R/covStruct.create.R             |   19 
 DiceKriging-1.5.6/DiceKriging/R/covStruct_Base_TensorProduct.R |   10 
 DiceKriging-1.5.6/DiceKriging/R/covStruct_Scaling.R            |  106 +++-
 DiceKriging-1.5.6/DiceKriging/R/covStruct_User.R               |    2 
 DiceKriging-1.5.6/DiceKriging/R/covStruct_XtraClass_Union.R    |    2 
 DiceKriging-1.5.6/DiceKriging/R/covStruct_XtraMethods.R        |   19 
 DiceKriging-1.5.6/DiceKriging/R/km.R                           |   13 
 DiceKriging-1.5.6/DiceKriging/R/kmEstimate.R                   |   30 -
 DiceKriging-1.5.6/DiceKriging/R/kmNoNugget.init.R              |    2 
 DiceKriging-1.5.6/DiceKriging/R/kmStruct.R                     |   10 
 DiceKriging-1.5.6/DiceKriging/R/scalingFun.R                   |  226 +++++++-
 DiceKriging-1.5.6/DiceKriging/R/scalingGrad.R                  |   23 
 DiceKriging-1.5.6/DiceKriging/README.md                        |only
 DiceKriging-1.5.6/DiceKriging/man/DiceKriging-package.Rd       |    8 
 DiceKriging-1.5.6/DiceKriging/man/checkNames.Rd                |   10 
 DiceKriging-1.5.6/DiceKriging/man/covKernel-class.Rd           |    2 
 DiceKriging-1.5.6/DiceKriging/man/covMatrixDerivative.Rd       |    4 
 DiceKriging-1.5.6/DiceKriging/man/covScaling-class.Rd          |    9 
 DiceKriging-1.5.6/DiceKriging/man/covStruct.create.Rd          |    2 
 DiceKriging-1.5.6/DiceKriging/man/covUser-class.Rd             |    4 
 DiceKriging-1.5.6/DiceKriging/man/km.Rd                        |   26 -
 DiceKriging-1.5.6/DiceKriging/man/predict.km.Rd                |    2 
 DiceKriging-1.5.6/DiceKriging/man/scalingFun1d.Rd              |only
 DiceKriging-1.5.6/DiceKriging/src/DiceKriging.h                |only
 DiceKriging-1.5.6/DiceKriging/src/Scaling.c                    |  259 ++++++----
 DiceKriging-1.5.6/DiceKriging/src/init.c                       |only
 DiceKriging-1.5.6/DiceKriging/tests/testthat                   |only
 DiceKriging-1.5.6/DiceKriging/tests/testthat.R                 |only
 39 files changed, 630 insertions(+), 343 deletions(-)

More information about DiceKriging at CRAN
Permanent link

Package devRate updated to version 0.1.9 with previous version 0.1.8 dated 2018-07-06

Title: Quantify the Relationship Between Development Rate and Temperature in Ectotherms
Description: A set of functions to quantify the relationship between development rate and temperature and to build phenological models. The package comprises a set of models and estimated parameters borrowed from a literature review in ectotherms. The methods and literature review are described in Rebaudo et al. (2018) <doi:10.1111/2041-210X.12935> and Rebaudo and Rabhi (2018) <doi:10.1111/eea.12693>. An example can be found in Rebaudo et al. (2017) <doi:10.1007/s13355-017-0480-5>.
Author: Francois Rebaudo [aut, cre] (2016-2018), Camila Benavides [ctb] (M2 student; 2018), Tanusson Selvarajah [ctb] (L2 student; 2018), Nicolas Bonnal [ctb] (M1 student; 2018), Badre Rabhi [ctb] (L2 student; 2017), Quentin Struelens [ctb] (VIA; 2016)
Maintainer: Francois Rebaudo <francois.rebaudo@ird.fr>

Diff between devRate versions 0.1.8 dated 2018-07-06 and 0.1.9 dated 2018-10-08

 DESCRIPTION                   |    6 -
 MD5                           |   92 ++++++++++++-------------
 NEWS.md                       |    3 
 R/devRate_pheno.R             |   14 ++-
 build/vignette.rds            |binary
 data/analytis_77.RData        |binary
 data/bayoh_03.RData           |binary
 data/beta_16.RData            |binary
 data/beta_95.RData            |binary
 data/bieri1_83.RData          |binary
 data/briere1_99.RData         |binary
 data/briere2_99.RData         |binary
 data/campbell_74.RData        |binary
 data/damos_08.RData           |binary
 data/damos_11.RData           |binary
 data/davidson_44.RData        |binary
 data/devRateEqList.RData      |binary
 data/harcourtYee_82.RData     |binary
 data/hilbertLogan_83.RData    |binary
 data/janisch_32.RData         |binary
 data/kontodimas_04.RData      |binary
 data/lactin1_95.RData         |binary
 data/lactin2_95.RData         |binary
 data/lamb_92.RData            |binary
 data/logan10_76.RData         |binary
 data/logan6_76.RData          |binary
 data/perf2_11.RData           |binary
 data/poly2.RData              |binary
 data/poly4.RData              |binary
 data/ratkowsky_82.RData       |binary
 data/ratkowsky_83.RData       |binary
 data/regniere_12.RData        |binary
 data/rootsq_82.RData          |binary
 data/schoolfieldHigh_81.RData |binary
 data/schoolfieldLow_81.RData  |binary
 data/schoolfield_81.RData     |binary
 data/sharpeDeMichele_77.RData |binary
 data/shi_11.RData             |binary
 data/stinner_74.RData         |binary
 data/taylor_81.RData          |binary
 data/wagner_88.RData          |binary
 data/wang_82.RData            |binary
 data/wangengel_98.RData       |binary
 inst/doc/guiaDelUsuario.html  |  150 +++++++++++++++++++++---------------------
 inst/doc/modelEvaluation.html |   10 +-
 inst/doc/quickUserGuide.html  |  146 ++++++++++++++++++++--------------------
 man/devRateIBM.Rd             |    9 +-
 47 files changed, 220 insertions(+), 210 deletions(-)

More information about devRate at CRAN
Permanent link

New package BayesMallows with initial version 0.1.0
Package: BayesMallows
Type: Package
Title: Bayesian Preference Learning with the Mallows Rank Model
Version: 0.1.0
Author: Oystein Sorensen, Valeria Vitelli, Marta Crispino, Qingua Liu
Maintainer: Oystein Sorensen <oystein.sorensen.1985@gmail.com>
Description: An implementation of the Bayesian version of the Mallows rank model (Vitelli et al., Journal of Machine Learning Research, 2018 <http://jmlr.org/papers/v18/15-481.html>). Both Cayley, footrule, Kendall, and Spearman distances are supported in the models. The rank data to be analyzed can be the form of complete rankings, top-k rankings, partially missing rankings, as well as consistent pairwise preferences. Several functions for plotting and studying the posterior distributions of parameters are provided. The package also provides functions for estimating the partition function (normalizing constant) of the Mallows rank model, both with the importance sampling algorithm of Vitelli et al. and asymptotic approximation with the IPFP algorithm (Mukherjee, Annals of Statistics, 2016 <doi:10.1214/15-AOS1389>).
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.0
Depends: R (>= 2.10)
Imports: Rcpp (>= 0.12.17), ggplot2 (>= 2.2.1), Rdpack (>= 0.8), stats (>= 3.5.0), igraph (>= 1.2.2), dplyr (>= 0.7.6), sets (>= 1.0-18), relations (>= 0.6-8), tidyr (>= 0.8.1), purrr (>= 0.2.5), rlang (>= 0.2.1), HDInterval (>= 0.2.0), cowplot (>= 0.9.3)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, gtools (>= 3.8.1), knitr, PerMallows (>= 1.13), rmarkdown, Rankcluster (>= 0.94)
VignetteBuilder: knitr
RdMacros: Rdpack
NeedsCompilation: yes
Packaged: 2018-09-30 15:55:00 UTC; oyss
Repository: CRAN
Date/Publication: 2018-10-08 10:50:25 UTC

More information about BayesMallows at CRAN
Permanent link

Package sptemExp updated to version 0.1.3 with previous version 0.1.1 dated 2017-09-01

Title: Constrained Spatiotemporal Mixed Models for Exposure Estimation
Description: The approach of constrained spatiotemporal mixed models is to make reliable estimation of air pollutant concentrations at high spatiotemporal resolution (Li, L., Zhang, J., Meng, X., Fang, Y., Ge, Y., Wang, J., Wang, C., Wu, J., Kan, H. (2018) <doi.org/10.1016/j.rse.2018.09.001>; Li, L., Lurmann, F., Habre, R., Urman, R., Rappaport, E., Ritz, B., Chen, J., Gilliland, F., Wu, J., (2017) <doi:10.1021/acs.est.7b01864>). This package is an extensive tool for this modeling approach with support of block Kriging (Goovaerts, P. (1997) <http://www.gbv.de/dms/goettingen/229148123.pdf>) and uses the PM2.5 modeling as examples. It provides the following functionality: (1) Extraction of covariates from the satellite images such as GeoTiff and NC4 raster; (2) Generation of temporal basis functions to simulate the seasonal trends in the study regions; (3) Generation of the regional monthly or yearly means of air pollutant concentration; (4) Generation of Thiessen polygons and spatial effect modeling; (5) Ensemble modeling for spatiotemporal mixed models, supporting multi-core parallel computing; (6) Integrated predictions with or without weights of the model's performance, supporting multi-core parallel computing; (7) Constrained optimization to interpolate the missing values; (8) Generation of the grid surfaces of air pollutant concentration estimates at high resolution; (9) Block Kriging for regional mean estimation at multiple scales.
Author: Lianfa Li,
Maintainer: Lianfa Li <lspatial@gmail.com>

Diff between sptemExp versions 0.1.1 dated 2017-09-01 and 0.1.3 dated 2018-10-08

 DESCRIPTION           |    9 +++++----
 MD5                   |   17 +++++++++++------
 R/RcppExports.R       |    8 ++++++++
 R/tpolygonsByBorder.R |    4 ++--
 README                |    2 ++
 man/exeCluster.Rd     |only
 man/extractVNC4.Rd    |    5 ++---
 man/getClusterCt.Rd   |only
 src/RcppExports.cpp   |   26 ++++++++++++++++++++++++++
 src/ufcls.cpp         |only
 src/ufcls_lib.cpp     |only
 src/ufcls_lib.h       |only
 12 files changed, 56 insertions(+), 15 deletions(-)

More information about sptemExp at CRAN
Permanent link

New package jipApprox with initial version 0.1.1
Package: jipApprox
Title: Approximate Inclusion Probabilities for Survey Sampling
Version: 0.1.1
Date: 2018-09-20
Authors@R: person("Roberto", "Sichera", email = "roberto.sichera@unipa.it", role = c("aut", "cre"))
Description: Approximate joint-inclusion probabilities in Unequal Probability Sampling, or compute Monte Carlo approximations of the first and second-order inclusion probabilities of a general sampling design as in Fattorini (2006) <doi:10.1093/biomet/93.2.269>.
Depends: R (>= 3.4.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/rhobis/jipApprox/issues
RoxygenNote: 6.1.0
Imports: sampling
NeedsCompilation: no
Packaged: 2018-09-20 07:27:37 UTC; roberto
Author: Roberto Sichera [aut, cre]
Maintainer: Roberto Sichera <roberto.sichera@unipa.it>
Repository: CRAN
Date/Publication: 2018-10-08 10:00:03 UTC

More information about jipApprox at CRAN
Permanent link

New package COMBIA with initial version 1.0.6
Encoding: UTF-8
Package: COMBIA
Type: Package
Title: Synergy/Antagonism Analyses of Drug Combinations
Version: 1.0.6
Date: 2018-10-07
Author: Muhammad Kashif
Maintainer: Muhammad Kashif <Muhammad.Kashif@medsci.uu.se>
Description: A comprehensive synergy/antagonism analyses of drug combinations with quality graphics and data. The analyses can be performed by Bliss independence and Loewe additivity models. 'COMBIA' provides improved statistical analysis and makes only very weak assumption of data variability while calculating bootstrap intervals (BIs). It is based on heteroscedasticity controlled resampling (bootstrapping) and includes a global (omnibus) test. Finally, package shows analyzed data, 2D and 3D plots ready to use in research publications. 'COMBIA' does not require manual data entry. Data can be directly input from wet lab experimental platforms for example fluostar, automated robots etc. One only needs to call a single function, analyzeCOMBO(), to perform all analysis (examples are provided with sample data).
URL: <http://www.impactjournals.com/oncotarget/index.php?journal=oncotarget&page=article&op=view&path%5B%5D=21895&path%5B%5D=69432>.
Depends: hash, lattice, latticeExtra, oro.nifti
Imports: gdata, grDevices, stats, utils
License: GPL (>= 2)
SystemRequirements: perl (>= 5.10.0)
LazyLoad: yes
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-10-08 09:23:20 UTC; muhkas
Repository: CRAN
Date/Publication: 2018-10-08 09:50:26 UTC

More information about COMBIA at CRAN
Permanent link

Package c212 updated to version 0.94 with previous version 0.93 dated 2017-04-06

Title: Methods for Detecting Safety Signals in Clinical Trials Using Body-Systems (System Organ Classes)
Description: Methods for detecting safety signals in clinical trials using groupings of adverse events by body-system or system organ class.The package title c212 is in reference to the original Engineering and Physical Sciences Research Council (UK) funded project which was named CASE 2/12.
Author: Raymond Carragher <raymond.carragher@strath.ac.uk>
Maintainer: Raymond Carragher <raymond.carragher@strath.ac.uk>

Diff between c212 versions 0.93 dated 2017-04-06 and 0.94 dated 2018-10-08

 DESCRIPTION                                  |    8 
 MD5                                          |  138 +-
 R/c212.interim.1a.hier2.lev0.R               |   12 
 R/c212.interim.1a.hier2.lev1.R               |   12 
 R/c212.interim.1a.hier3.lev0.R               |   12 
 R/c212.interim.1a.hier3.lev1.R               |   23 
 R/c212.interim.1a.hier3.lev2.R               |   12 
 R/c212.interim.BB.hier2.lev0.R               |   12 
 R/c212.interim.BB.hier2.lev1.R               |   12 
 R/c212.interim.BB.hier3.lev0.R               |   12 
 R/c212.interim.BB.hier3.lev1.R               |   26 
 R/c212.interim.BB.hier3.lev1.summary.stats.R |    4 
 R/c212.interim.BB.hier3.lev2.R               |   12 
 man/RCS/c212.1a.rd,v                         |    1 
 man/RCS/c212.BB.rd,v                         |    1 
 man/RCS/c212.FDR.data.rd,v                   |    1 
 man/RCS/c212.Package.rd,v                    |    1 
 man/RCS/c212.bin.test.rd,v                   |    1 
 man/RCS/c212.convergence.diag.rd,v           |    1 
 man/RCS/c212.fisher.test.rd,v                |    1 
 man/RCS/c212.gen.initial.values.rd,v         |    1 
 man/RCS/c212.interim.1a.hier2.rd,v           |    1 
 man/RCS/c212.interim.1a.hier3.rd,v           |    1 
 man/RCS/c212.interim.BB.hier2.rd,v           |    1 
 man/RCS/c212.interim.BB.hier3.rd,v           |    1 
 man/RCS/c212.interim.MLE.rd,v                |    1 
 man/RCS/c212.monitor.samples.rd,v            |    1 
 man/RCS/c212.plot.eot.data.rd,v              |    1 
 man/RCS/c212.plot.interim.data.rd,v          |    1 
 man/RCS/c212.plot.samples.rd,v               |    1 
 man/RCS/c212.pointmass.weights.rd,v          |    1 
 man/RCS/c212.print.convergence.summary.rd,v  |    1 
 man/RCS/c212.print.summary.stats.rd,v        |    1 
 man/RCS/c212.ptheta.rd,v                     |    1 
 man/RCS/c212.sim.control.params.rd,v         |    1 
 man/RCS/c212.summary.stats.rd,v              |    1 
 man/RCS/c212.trial.data.rd,v                 |    1 
 man/RCS/c212.trial.interval.data1.rd,v       |    1 
 man/RCS/c212.trial.interval.data2.rd,v       |    1 
 man/RCS/c2122FDR.rd,v                        |    1 
 man/RCS/c212BH.adjust.pvals.rd,v             |    1 
 man/RCS/c212BH.rd,v                          |    1 
 man/RCS/c212BONF.rd,v                        |    1 
 man/RCS/c212DFDR.rd,v                        |    1 
 man/RCS/c212GBH.rd,v                         |    1 
 man/RCS/c212LSL.rd,v                         |    1 
 man/RCS/c212NOADJ.rd,v                       |    1 
 man/RCS/c212TST.rd,v                         |    1 
 man/RCS/c212ssBH.rd,v                        |    1 
 src/c2121a_poisson_mc_hier2_lev0.cpp         | 1305 ++++++++++++++-------------
 src/c2121a_poisson_mc_hier2_lev0.h           |   38 
 src/c2121a_poisson_mc_hier2_lev1.cpp         |  520 +---------
 src/c2121a_poisson_mc_hier2_lev1.h           |   22 
 src/c2121a_poisson_mc_hier3_lev0.cpp         |  659 ++++---------
 src/c2121a_poisson_mc_hier3_lev0.h           |   20 
 src/c2121a_poisson_mc_hier3_lev1.cpp         |  442 ---------
 src/c2121a_poisson_mc_hier3_lev1.h           |   23 
 src/c2121a_poisson_mc_hier3_lev2.cpp         |  524 ----------
 src/c2121a_poisson_mc_hier3_lev2.h           |   24 
 src/c212BB_poisson_mc_hier2_lev0.cpp         |  476 ++-------
 src/c212BB_poisson_mc_hier2_lev0.h           |   17 
 src/c212BB_poisson_mc_hier2_lev1.cpp         |  546 ++---------
 src/c212BB_poisson_mc_hier2_lev1.h           |   26 
 src/c212BB_poisson_mc_hier3_lev0.cpp         |  800 +++++-----------
 src/c212BB_poisson_mc_hier3_lev0.h           |   26 
 src/c212BB_poisson_mc_hier3_lev1.cpp         |  682 ++------------
 src/c212BB_poisson_mc_hier3_lev1.h           |   28 
 src/c212BB_poisson_mc_hier3_lev2.cpp         |  660 ++-----------
 src/c212BB_poisson_mc_hier3_lev2.h           |   29 
 src/c212_exec.cpp                            |   16 
 70 files changed, 2194 insertions(+), 5020 deletions(-)

More information about c212 at CRAN
Permanent link

Package psda updated to version 1.0.1 with previous version 1.0.0 dated 2017-09-05

Title: Polygonal Symbolic Data Analysis
Description: An implementation of symbolic polygonal data analysis. The package presents the estimation of main descriptive statistical measures, e.g, mean, covariance, variance, correlation and coefficient of variation. In addition, transformation of the data in polygons. Empirical probability distribution function based on polygonal histogram and regression models are presented.
Author: Wagner Silva [aut, cre, ths], Renata Souza [aut], Francisco Cysneiros [aut]
Maintainer: Wagner Silva <wjfs@cin.ufpe.br>

Diff between psda versions 1.0.0 dated 2017-09-05 and 1.0.1 dated 2018-10-08

 DESCRIPTION       |   10 ++++-----
 MD5               |   56 +++++++++++++++++++++++++++---------------------------
 R/pconvex.R       |    2 -
 R/pcorr.R         |    4 +--
 R/pcov.R          |    2 -
 R/pfreq.R         |    1 
 R/plr.R           |    2 -
 R/pmean.R         |    5 +---
 R/pmean_id.R      |    2 -
 R/pplot.R         |    2 -
 R/psim.R          |    2 -
 R/psmi.R          |    4 +--
 R/ptransform.R    |    4 +--
 R/pvar.R          |    4 +--
 R/pvari.R         |    2 -
 inst/CITATION     |   12 +++++------
 man/pconvex.Rd    |    2 -
 man/pcorr.Rd      |    4 +--
 man/pcov.Rd       |    2 -
 man/pfreq.Rd      |    3 --
 man/plr.Rd        |    2 -
 man/pmean.Rd      |    5 +---
 man/pmean_id.Rd   |    2 -
 man/pplot.Rd      |    2 -
 man/psim.Rd       |    2 -
 man/psmi.Rd       |    4 +--
 man/ptransform.Rd |    4 +--
 man/pvar.Rd       |    4 +--
 man/pvari.Rd      |    2 -
 29 files changed, 74 insertions(+), 78 deletions(-)

More information about psda at CRAN
Permanent link


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