Fri, 15 Mar 2019

Package MM2Sdata updated to version 1.0.3 with previous version 1.0.2 dated 2019-03-13

Title: Gene Expression Datasets for the 'MM2S' Package
Description: Gene Expression datasets for the 'MM2S' package. Contains normalized expression data for Human Medulloblastoma ('GSE37418') as well as Mouse Medulloblastoma models ('GSE36594'). Deena Gendoo et al. (2015) <doi:10.1016/j.ygeno.2015.05.002>.
Author: Deena M.A. Gendoo <deena.gendoo@utoronto.ca>, Benjamin Haibe-Kains <benjamin.haibe.kains@utoronto.ca>
Maintainer: Benjamin Haibe-Kains <benjamin.haibe.kains@utoronto.ca>

Diff between MM2Sdata versions 1.0.2 dated 2019-03-13 and 1.0.3 dated 2019-03-15

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Package rosetteApi updated to version 1.12.1 with previous version 1.9.0 dated 2018-01-19

Title: 'Rosette' API
Description: 'Rosette' is an API for multilingual text analysis and information extraction. More information can be found at <https://developer.rosette.com>.
Author: Chris Park [aut], Sam Hausmann [aut], Hannah Gaudet [ctb], Ian Redpath [ctb], Seth Gransky [ctb, cre], Basis Technology Corp. [cph]
Maintainer: Seth Gransky <seth@basistech.com>

Diff between rosetteApi versions 1.9.0 dated 2018-01-19 and 1.12.1 dated 2019-03-15

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Package QuantumOps updated to version 2.5 with previous version 2.4 dated 2019-02-15

Title: Performs Common Linear Algebra Operations Used in Quantum Computing
Description: Contains basic structures and operations used frequently in quantum computing. Intended to be a convenient tool to help in practicing the linear algebra involved in quantum operations. Has functionality for the creation of arbitrarily sized kets, bras, matrices and implements quantum gates, inner products, and tensor products. Contains all commonly used quantum gates, creates arbitrarily controlled versions of all gates, and can simulate complete or partial measurements of kets. Implements modular arithmetic commonly found in quantum algorithms and can convert functions into equivalent quantum gates. It can also simulate larger applications, including the Quantum Fourier Transform developed by Shor (1999), Shor's algorithm which factors numbers up to 21, Grover's algorithm (1996), the Quantum Approximation Optimization Algorithm (QAOA) (Farhi, Goldstone, and Gutmann 2014) <arXiv:1411.4028>, and the training of a quantum neural network developed by Schuld (2018) <arXiv:1804.00633> which can classify the MNIST dataset.
Author: Salonik Resch
Maintainer: Salonik Resch <resc0059@umn.edu>

Diff between QuantumOps versions 2.4 dated 2019-02-15 and 2.5 dated 2019-03-15

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Package purrrlyr updated to version 0.0.5 with previous version 0.0.4 dated 2019-02-15

Title: Tools at the Intersection of 'purrr' and 'dplyr'
Description: Some functions at the intersection of 'dplyr' and 'purrr' that formerly lived in 'purrr'.
Author: Lionel Henry [aut, cre], Hadley Wickham [ctb], RStudio [cph]
Maintainer: Lionel Henry <lionel@rstudio.com>

Diff between purrrlyr versions 0.0.4 dated 2019-02-15 and 0.0.5 dated 2019-03-15

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Package neighbr updated to version 1.0.2 with previous version 1.0.1 dated 2019-03-13

Title: Classification, Regression, Clustering with K Nearest Neighbors
Description: Classification, regression, and clustering with k nearest neighbors algorithm. Implements several distance and similarity measures, covering continuous and logical features. Outputs ranked neighbors. Most features of this package are directly based on the PMML specification for KNN.
Author: Dmitriy Bolotov [aut, cre], Zementis Inc [cph]
Maintainer: Dmitriy Bolotov <dmitriy.bolotov@softwareag.com>

Diff between neighbr versions 1.0.1 dated 2019-03-13 and 1.0.2 dated 2019-03-15

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Package MVar updated to version 2.0.5 with previous version 2.0.4 dated 2019-02-24

Title: Multivariate Analysis
Description: Package for multivariate analysis, having functions that perform simple correspondence analysis (CA) and multiple correspondence analysis (MCA), principal components analysis (PCA), canonical correlation analysis (CCA), factorial analysis (FA), multidimensional scaling (MDS), hierarchical and non-hierarchical cluster analysis, linear regression, multiple factor analysis (MFA) for quantitative, qualitative, frequency (MFACT) and mixed data, projection pursuit (PP), grant tour method and other useful functions for the multivariate analysis.
Author: Paulo Cesar Ossani <ossanipc@hotmail.com> Marcelo Angelo Cirillo <macufla@des.ufla.br>
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

Diff between MVar versions 2.0.4 dated 2019-02-24 and 2.0.5 dated 2019-03-15

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Package bazar updated to version 1.0.11 with previous version 1.0.10 dated 2018-10-06

Title: Miscellaneous Basic Functions
Description: A collection of miscellaneous functions for copying objects to the clipboard ('Copy'); manipulating strings ('concat', 'mgsub', 'trim', 'verlan'); loading or showing packages ('library_with_dep', 'require_with_dep', 'sessionPackages'); creating or testing for named lists ('nlist', 'as.nlist', 'is.nlist'), formulas ('is.formula'), empty objects ('as.empty', 'is.empty'), whole numbers ('as.wholenumber', 'is.wholenumber'); testing for equality ('almost.equal', 'almost.zero') and computing uniqueness ('almost.unique'); getting modified versions of usual functions ('rle2', 'sumNA'); making a pause or a stop ('pause', 'stopif'); converting into a function ('as.fun'); providing a C like ternary operator ('condition %?% true %:% false'); finding packages and functions ('get_all_pkgs', 'get_all_funs'); and others ('erase', '%nin%', 'unwhich', 'top', 'bot', 'normalize').
Author: Paul Poncet [aut, cre]
Maintainer: Paul Poncet <paulponcet@yahoo.fr>

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Package YPInterimTesting updated to version 1.0.1 with previous version 1.0.0 dated 2018-11-26

Title: Interim Monitoring Using Adaptively Weighted Log-Rank Test in Clinical Trials
Description: For any spending function specified by the user, this package provides corresponding boundaries for interim testing using the adaptively weighted log-rank test developed by Yang and Prentice (2010 <doi:10.1111/j.1541-0420.2009.01243.x>). The package uses a re-sampling method to obtain stopping boundaries at the interim looks.The output consists of stopping boundaries and observed values of the test statistics at the interim looks, along with nominal p-values defined as the probability of the test exceeding the specific observed test statistic value or critical value, regardless of the test behavior at other looks. The asymptotic validity of the stopping boundaries is established in Yang (2018 <doi:10.1002/sim.7958>).
Author: Daewoo Pak and Song Yang
Maintainer: Daewoo Pak <heavyrain.pak@gmail.com>

Diff between YPInterimTesting versions 1.0.0 dated 2018-11-26 and 1.0.1 dated 2019-03-15

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Package MVar.pt updated to version 2.0.5 with previous version 2.0.4 dated 2019-02-24

Title: Analise multivariada (brazilian portuguese)
Description: Pacote para analise multivariada, tendo funcoes que executam analise de correspondencia simples (CA) e multipla (MCA), analise de componentes principais (PCA), analise de correlacao canonica (CCA), analise fatorial (FA), escalonamento multidimensional (MDS), analise de cluster hierarquico e nao hierarquico, regressao linear, analise de multiplos fatores (MFA) para dados quantitativos, qualitativos, de frequencia (MFACT) e dados mistos, projection pursuit (PP), grant tour e outras funcoes uteis para a analise multivariada.
Author: Paulo Cesar Ossani <ossanipc@hotmail.com> Marcelo Angelo Cirillo <macufla@des.ufla.br>
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>

Diff between MVar.pt versions 2.0.4 dated 2019-02-24 and 2.0.5 dated 2019-03-15

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Package StatMatch updated to version 1.3.0 with previous version 1.2.5 dated 2017-01-09

Title: Statistical Matching or Data Fusion
Description: Integration of two data sources referred to the same target population which share a number of variables. Some functions can also be used to impute missing values in data sets through hot deck imputation methods. Methods to perform statistical matching when dealing with data from complex sample surveys are available too.
Author: Marcello D'Orazio
Maintainer: Marcello D'Orazio <mdo.statmatch@gmail.com>

Diff between StatMatch versions 1.2.5 dated 2017-01-09 and 1.3.0 dated 2019-03-15

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Package matrixTests updated to version 0.1.1 with previous version 0.1.0 dated 2018-03-05

Title: Fast Statistical Hypothesis Tests on Rows and Columns of Matrices
Description: Functions to perform fast statistical hypothesis tests on rows/columns of matrices. The main goals are: 1) speed via vectorization, 2) output that is detailed and easy to use, 3) compatibility with tests implemented in R (like those available in the 'stats' package).
Author: Karolis Koncevičius [aut, cre]
Maintainer: Karolis Koncevičius <karolis.koncevicius@gmail.com>

Diff between matrixTests versions 0.1.0 dated 2018-03-05 and 0.1.1 dated 2019-03-15

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Package httpuv updated to version 1.5.0 with previous version 1.4.5.1 dated 2018-12-18

Title: HTTP and WebSocket Server Library
Description: Provides low-level socket and protocol support for handling HTTP and WebSocket requests directly from within R. It is primarily intended as a building block for other packages, rather than making it particularly easy to create complete web applications using httpuv alone. httpuv is built on top of the libuv and http-parser C libraries, both of which were developed by Joyent, Inc. (See LICENSE file for libuv and http-parser license information.)
Author: Joe Cheng, Hector Corrada Bravo [ctb], Jeroen Ooms [ctb], Winston Chang [ctb]
Maintainer: Joe Cheng <joe@rstudio.com>

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More information about httpuv at CRAN
Permanent link

Package dendextend updated to version 1.10.0 with previous version 1.9.0 dated 2018-10-19

Title: Extending 'dendrogram' Functionality in R
Description: Offers a set of functions for extending 'dendrogram' objects in R, letting you visualize and compare trees of 'hierarchical clusterings'. You can (1) Adjust a tree's graphical parameters - the color, size, type, etc of its branches, nodes and labels. (2) Visually and statistically compare different 'dendrograms' to one another.
Author: Tal Galili [aut, cre, cph] (https://www.r-statistics.com), Yoav Benjamini [ths], Gavin Simpson [ctb], Gregory Jefferis [aut, ctb] (imported code from his dendroextras package), Marco Gallotta [ctb] (a.k.a: marcog), Johan Renaudie [ctb] (https://github.com/plannapus), The R Core Team [ctb] (Thanks for the Infastructure, and code in the examples), Kurt Hornik [ctb], Uwe Ligges [ctb], Andrej-Nikolai Spiess [ctb], Steve Horvath [ctb], Peter Langfelder [ctb], skullkey [ctb], Mark Van Der Loo [ctb] (https://github.com/markvanderloo d3dendrogram), Andrie de Vries [ctb] (ggdendro author), Zuguang Gu [ctb] (circlize author), Cath [ctb] (https://github.com/CathG), John Ma [ctb] (https://github.com/JohnMCMa), Krzysiek G [ctb] (https://github.com/storaged), Manuela Hummel [ctb] (https://github.com/hummelma), Chase Clark [ctb] (https://github.com/chasemc), Lucas Graybuck [ctb] (https://github.com/hypercompetent), jdetribol [ctb] (https://github.com/jdetribol), Ben Ho [ctb] (https://github.com/SplitInf)
Maintainer: Tal Galili <tal.galili@gmail.com>

Diff between dendextend versions 1.9.0 dated 2018-10-19 and 1.10.0 dated 2019-03-15

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Package diffobj updated to version 0.2.2 with previous version 0.2.1 dated 2019-01-18

Title: Diffs for R Objects
Description: Generate a colorized diff of two R objects for an intuitive visualization of their differences.
Author: Brodie Gaslam [aut, cre], Michael B. Allen [ctb, cph] (Original C implementation of Myers Diff Algorithm)
Maintainer: Brodie Gaslam <brodie.gaslam@yahoo.com>

Diff between diffobj versions 0.2.1 dated 2019-01-18 and 0.2.2 dated 2019-03-15

 DESCRIPTION |    7 +++----
 MD5         |    6 +++---
 NEWS.md     |    4 ++++
 tests/run.R |    5 ++++-
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Package rerf updated to version 2.0.4 with previous version 2.0.3 dated 2019-02-06

Title: Randomer Forest
Description: R-RerF (aka Randomer Forest (RerF) or Random Projection Forests) is an algorithm developed by Tomita (2016) <arXiv:1506.03410v2> which is similar to Random Forest - Random Combination (Forest-RC) developed by Breiman (2001) <doi:10.1023/A:1010933404324>. Random Forests create axis-parallel, or orthogonal trees. That is, the feature space is recursively split along directions parallel to the axes of the feature space. Thus, in cases in which the classes seem inseparable along any single dimension, Random Forests may be suboptimal. To address this, Breiman also proposed and characterized Forest-RC, which uses linear combinations of coordinates rather than individual coordinates, to split along. This package, 'rerf', implements RerF which is similar to Forest-RC. The difference between the two algorithms is where the random linear combinations occur: Forest-RC combines features at the per tree level whereas RerF takes linear combinations of coordinates at every node in the tree.
Author: Jesse Patsolic [ctb, cre], Benjamin Falk [ctb], Jaewon Chung [ctb], James Browne [aut], Tyler Tomita [aut], Joshua Vogelstein [ths]
Maintainer: Jesse Patsolic <software@neurodata.io>

Diff between rerf versions 2.0.3 dated 2019-02-06 and 2.0.4 dated 2019-03-15

 DESCRIPTION                       |   10 +--
 MD5                               |   10 +--
 R/RandMat.R                       |    8 +-
 man/RandMatFRC.Rd                 |    8 +-
 tests/testthat/test-RandMat.R     |  126 +++++++++++++++++++++++++++++++++++++-
 tests/testthat/test-predictions.R |   21 ++++--
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Permanent link

Package purrr updated to version 0.3.2 with previous version 0.3.1 dated 2019-03-03

Title: Functional Programming Tools
Description: A complete and consistent functional programming toolkit for R.
Author: Lionel Henry [aut, cre], Hadley Wickham [aut], RStudio [cph, fnd]
Maintainer: Lionel Henry <lionel@rstudio.com>

Diff between purrr versions 0.3.1 dated 2019-03-03 and 0.3.2 dated 2019-03-15

 DESCRIPTION                   |    6 +++---
 MD5                           |   10 +++++-----
 NEWS.md                       |    5 +++++
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 src/pluck.c                   |    3 +++
 tests/testthat/test-compose.R |    2 +-
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Package vetr updated to version 0.2.7 with previous version 0.2.6 dated 2018-08-15

Title: Trust, but Verify
Description: Declarative template-based framework for verifying that objects meet structural requirements, and auto-composing error messages when they do not.
Author: Brodie Gaslam [aut, cre], Paxdiablo [cph] (Hash table implementation in src/pfhash.h), R Core Team [cph] (Used/adapted several code snippets from R sources, see src/misc-alike.c and src/valname.c)
Maintainer: Brodie Gaslam <brodie.gaslam@yahoo.com>

Diff between vetr versions 0.2.6 dated 2018-08-15 and 0.2.7 dated 2019-03-15

 DESCRIPTION         |    6 +++---
 MD5                 |   16 ++++++++--------
 NEWS.md             |    5 +++++
 build/vignette.rds  |binary
 inst/doc/alike.html |   20 ++++++++++----------
 inst/doc/vetr.html  |   10 +++++-----
 src/alike.c         |    4 ++--
 src/all-bw.c        |    6 +++---
 tests/run.R         |    2 ++
 9 files changed, 38 insertions(+), 31 deletions(-)

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Package stdReg updated to version 3.3.0 with previous version 3.2.0 dated 2019-03-14

Title: Regression Standardization
Description: Contains functionality for regression standardization. Four general classes of models are allowed; generalized linear models, Conditional generalized estimating equation models, Cox proportional hazards models and shared frailty gamma-Weibull models. Sjolander, A. (2016) <doi:10.1007/s10654-016-0157-3>.
Author: Arvid Sjolander and Elisabeth Dahlqwist
Maintainer: Arvid Sjolander <arvid.sjolander@ki.se>

Diff between stdReg versions 3.2.0 dated 2019-03-14 and 3.3.0 dated 2019-03-15

 DESCRIPTION       |    8 ++++----
 MD5               |    6 +++---
 build/partial.rdb |binary
 inst/NEWS.Rd      |   25 ++-----------------------
 4 files changed, 9 insertions(+), 30 deletions(-)

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New package spsur with initial version 1.0.0.2
Package: spsur
Type: Package
Title: Spatial Seemingly Unrelated Regression Models
Version: 1.0.0.2
Date: 2019-02-27
Authors@R: c(person("Ana", "Angulo", email = "aangulo@unizar.es", role = "aut"), person("Fernando A", "Lopez", email = "fernando.lopez@upct.es", role = "aut"), person("Roman", "Minguez", email = "roman.minguez@uclm.es", role = c("aut", "cre")), person("Jesus", "Mur", email = "jmur@unizar.es", role = "aut"))
Maintainer: Roman Minguez <roman.minguez@uclm.es>
Description: A collection of functions to test and estimate Seemingly Unrelated Regression (usually called SUR) models, with spatial structure, by maximum likelihood and three-stage least squares. The package estimates the most common spatial specifications, that is, SUR with Spatial Lag of X regressors (called SUR-SLX), SUR with Spatial Lag Model (called SUR-SLM), SUR with Spatial Error Model (called SUR-SEM), SUR with Spatial Durbin Model (called SUR-SDM), SUR with Spatial Durbin Error Model (called SUR-SDEM), SUR with Spatial Autoregressive terms and Spatial Autoregressive Disturbances (called SUR-SARAR) and SUR with Spatially Independent Model (called SUR-SIM). The methodology of these models can be found in next references Mur, J., Lopez, F., and Herrera, M. (2010) <doi:10.1080/17421772.2010.516443> Lopez, F.A., Mur, J., and Angulo, A. (2014) <doi:10.1007/s00168-014-0624-2>.
LazyData: true
Encoding: UTF-8
License: GPL-3
Depends: R (>= 3.4.0)
Imports: Formula (>= 1.2.3), MASS (>= 7.3.50), Matrix (>= 1.2.14), methods (>= 3.5.0), numDeriv (>= 2016.8.1), minqa (>= 1.2.4), sparseMVN (>= 0.2.1.1), spdep (>= 0.7.9), stats (>= 3.5.0)
Suggests: bookdown, knitr, rmarkdown, Rdpack
VignetteBuilder: knitr
RoxygenNote: 6.1.1
RdMacros: Rdpack
URL: http://github.com/rominsal/spsur
BugReports: http://github.com/rominsal/spsur/issues
NeedsCompilation: no
Packaged: 2019-03-14 09:22:21 UTC; roman
Author: Ana Angulo [aut], Fernando A Lopez [aut], Roman Minguez [aut, cre], Jesus Mur [aut]
Repository: CRAN
Date/Publication: 2019-03-15 17:20:03 UTC

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Package rosm updated to version 0.2.4 with previous version 0.2.2 dated 2017-04-07

Title: Plot Raster Map Tiles from Open Street Map and Other Sources
Description: Download and plot Open Street Map <http://www.openstreetmap.org/>, Bing Maps <http://www.bing.com/maps> and other tiled map sources. Use to create basemaps quickly and add hillshade to vector-based maps.
Author: Dewey Dunnington [aut, cre] (<https://orcid.org/0000-0002-9415-4582>), Timothée Giraud [ctb]
Maintainer: Dewey Dunnington <dewey@fishandwhistle.net>

Diff between rosm versions 0.2.2 dated 2017-04-07 and 0.2.4 dated 2019-03-15

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 rosm-0.2.4/rosm/MD5                         |  146 ++++++++++++++++++++++------
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 rosm-0.2.4/rosm/R/1_tiles.R                 |    4 
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New package Relexon with initial version 0.1.0
Package: Relexon
Type: Package
Title: Explore the UK's National Power Grid Datasets
Version: 0.1.0
Author: Phil Hunter
Maintainer: Phil Hunter <philhunter93@live.co.uk>
Description: The purpose of 'Relexon' is to allow R users to pull data from the UK's Balancing Mechanism Reporting Service, otherwise known as 'Elexon', using the 'BMRS' API <https://www.bmreports.com/bmrs/?q=help/about-us>. This can range from different types of electricity generation, how much electricity is used in a 5-minute period, imports, temperatures and forecasts. Users will require an 'Elexon' key, which are freely available by registering at <https://www.elexonportal.co.uk>.
License: GPL-3
Depends: R (>= 2.10)
Imports: readr
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-03-14 09:46:56 UTC; Phil.Hunter
Repository: CRAN
Date/Publication: 2019-03-15 17:23:52 UTC

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New package QAIG with initial version 0.1.4
Package: QAIG
Type: Package
Title: Automatic Item Generator for Quantitative Multiple-Choice Items
Version: 0.1.4
Date: 2019-03-14
Authors@R: c(person("Subhabrata", family="Patra (Shubh)", email = "shubh.b.patra@gmail.com", role = c("aut", "cre")), person("Bao Sheng", family="Loe (Aiden)", role = "aut"))
Maintainer: Subhabrata Patra (Shubh) <shubh.b.patra@gmail.com>
Description: A tool for automatic generation of sibling items from a parent item model defined by the user. It is an implementation of the process automatic item generation (AIG) focused on generating quantitative multiple-choice type of items (see Embretson, Kingston (2018) <doi:10.1111/jedm.12166>).
URL: https://www.researchgate.net/publication/239794821_The_Role_of_Item_Models_in_Automatic_Item_Generation
Depends: R (>= 3.5.0)
License: GPL-3
Imports: stringr, Formula, stats, utils
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-03-13 18:36:19 UTC; SUBHABRATA
Author: Subhabrata Patra (Shubh) [aut, cre], Bao Sheng Loe (Aiden) [aut]
Repository: CRAN
Date/Publication: 2019-03-15 17:18:43 UTC

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New package pushbar with initial version 0.1.0
Package: pushbar
Title: Create Sliders for 'Shiny'
Version: 0.1.0
Date: 2019-03-13
Authors@R: person(given = "John", family = "Coene", role = c("aut", "cre"), email = "jcoenep@gmail.com")
Description: Create sliders from left, right, top and bottom which may include any html or 'Shiny' input or output.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: shiny, jsonlite
RoxygenNote: 6.1.1
URL: https://github.com/JohnCoene/pushbar
BugReports: https://github.com/JohnCoene/pushbar/issues
NeedsCompilation: no
Packaged: 2019-03-13 20:20:39 UTC; jp
Author: John Coene [aut, cre]
Maintainer: John Coene <jcoenep@gmail.com>
Repository: CRAN
Date/Publication: 2019-03-15 17:11:22 UTC

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New package pedquant with initial version 0.1.0
Package: pedquant
Version: 0.1.0
Title: Public Economic Data and Quantitative Analysis
Description: Provides an interface to access public economic and financial data for economic research and quantitative analysis. The data sources including NBS, FRED, Yahoo Finance, 163 Finance, Sina Finance and etc.
Authors@R: person("Shichen", "Xie", email = "xie@shichen.name", role = c("aut", "cre"))
Depends: R (>= 3.1.0)
Imports: data.table, TTR, zoo, curl, xml2, httr, rvest, jsonlite, stringi, readxl, readr, ggplot2, scales, gridExtra
Suggests: knitr, rmarkdown
License: GPL-3
URL: https://github.com/ShichenXie/pedquant
BugReports: https://github.com/ShichenXie/pedquant/issues
LazyData: true
RoxygenNote: 6.1.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-03-14 13:27:36 UTC; shichenxie
Author: Shichen Xie [aut, cre]
Maintainer: Shichen Xie <xie@shichen.name>
Repository: CRAN
Date/Publication: 2019-03-15 17:30:04 UTC

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Package neatmaps updated to version 2.0.0 with previous version 1.1.0 dated 2018-07-02

Title: Heatmaps for Multiple Network Data
Description: Simplify the exploratory data analysis process for multiple network data sets with the help of hierarchical clustering, consensus clustering and heatmaps. Multiple network data consists of multiple disjoint networks that have common variables (e.g. ego networks). This package contains the necessary tools for exploring such data, from the data pre-processing stage to the creation of dynamic visualizations.
Author: Philippe Boileau [aut, cre]
Maintainer: Philippe Boileau <philippe_boileau@berkeley.edu>

Diff between neatmaps versions 1.1.0 dated 2018-07-02 and 2.0.0 dated 2019-03-15

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 55 files changed, 675 insertions(+), 554 deletions(-)

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New package mcBFtest with initial version 0.1.0
Package: mcBFtest
Type: Package
Title: Monte Carlo Based Tests for the Behrens Fisher Problem as an Alternative to Welch's t-Approximation
Version: 0.1.0
Author: You-Gan Wang, Na Wang
Maintainer: You-Gan Wang <you-gan.wang@qut.edu.au>
Imports: stats, MASS
Description: Monte Carol based tests for the Behrens Fisher Problem enhance the statistical power and performs better than Welch's t-approximation, see Ullah et al. (2019).
License: GPL (>= 2.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-03-13 23:24:53 UTC; wangy
Repository: CRAN
Date/Publication: 2019-03-15 17:20:07 UTC

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Package Lmoments updated to version 1.3-1 with previous version 1.2-3 dated 2016-02-22

Title: L-Moments and Quantile Mixtures
Description: Contains functions to estimate L-moments and trimmed L-moments from the data. Also contains functions to estimate the parameters of the normal polynomial quantile mixture and the Cauchy polynomial quantile mixture from L-moments and trimmed L-moments.
Author: Juha Karvanen [cre, aut], Santeri Karppinen [aut]
Maintainer: Juha Karvanen <juha.karvanen@iki.fi>

Diff between Lmoments versions 1.2-3 dated 2016-02-22 and 1.3-1 dated 2019-03-15

 DESCRIPTION       |   21 +-
 MD5               |   19 +-
 NAMESPACE         |    2 
 R/Lmoments.R      |  457 +++++++++++++-----------------------------------------
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 10 files changed, 288 insertions(+), 493 deletions(-)

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Package lazyeval updated to version 0.2.2 with previous version 0.2.1 dated 2017-10-29

Title: Lazy (Non-Standard) Evaluation
Description: An alternative approach to non-standard evaluation using formulas. Provides a full implementation of LISP style 'quasiquotation', making it easier to generate code with other code.
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between lazyeval versions 0.2.1 dated 2017-10-29 and 0.2.2 dated 2019-03-15

 DESCRIPTION                |    8 
 MD5                        |   18 
 NEWS.md                    |    6 
 build/vignette.rds         |binary
 inst/doc/lazyeval-old.html |  554 ++++++++++++++++++-------
 inst/doc/lazyeval.html     |  988 ++++++++++++++++++++++++++++-----------------
 man/f_interp.Rd            |    2 
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 10 files changed, 1057 insertions(+), 549 deletions(-)

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New package KONPsurv with initial version 1.0
Package: KONPsurv
Type: Package
Title: KONP Tests: Powerful K-Sample Tests for Right-Censored Data
Version: 1.0
Date: 2019-03-11
Author: Matan Schlesinger [cre, aut], Malka Gorfine [aut]
Maintainer: Matan Schlesinger <matan.schles@gmail.com>
Description: The K-sample omnibus non-proportional hazards (KONP) tests are powerful non-parametric tests for comparing K (>=2) hazard functions based on right-censored data (Gorfine, Schlesinger and Hsu, 2019, <arXiv:1901.05739v1>). These tests are consistent against any differences between the hazard functions of the groups. The KONP tests are often more powerful than other existing tests, especially under non-proportional hazard functions.
Authors@R: c( person("Matan", "Schlesinger", email = "matan.schles@gmail.com", role = c("cre","aut")), person("Malka", "Gorfine", email = "gorfinem@tauex.tau.ac.il", role = "aut"))
License: GPL (>= 2)
Imports: survival,Rcpp (>= 0.12.16)
LinkingTo: Rcpp
RoxygenNote: 6.1.0
Suggests: testthat
NeedsCompilation: yes
Packaged: 2019-03-13 22:32:44 UTC; Matan
Repository: CRAN
Date/Publication: 2019-03-15 17:18:46 UTC

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New package fssemR with initial version 0.1.3
Package: fssemR
Title: Fused Sparse Structural Equation Models to Jointly Infer Gene Regulatory Network
Version: 0.1.3
Author: Xin Zhou, Xiaodong Cai
Maintainer: Xin Zhou <xxz220@miami.edu>
Description: An optimizer of Fused-Sparse Structural Equation Models, which is the state of the art jointly fused sparse maximum likelihood function for structural equation models proposed by Xin Zhou and Xiaodong Cai (2018 <doi:10.1101/466623>).
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: methods
Imports: Rcpp, Matrix, stats, igraph, mvtnorm, qtl, stringr, glmnet, MASS
Suggests: plotly
LinkingTo: Rcpp, RcppEigen
RoxygenNote: 6.1.1
URL: https://github.com/Ivis4ml/fssemR
NeedsCompilation: yes
Repository: CRAN
Packaged: 2019-03-13 17:57:32 UTC; xinchou
Date/Publication: 2019-03-15 17:11:53 UTC

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New package earthtide with initial version 0.0.4
Package: earthtide
Type: Package
Title: Parallel Implementation of 'ETERNA 3.40' for Prediction and Analysis of Earth Tides
Version: 0.0.4
Authors@R: c(person("Jonathan", "Kennel", email = "jkennel@uoguelph.ca", role = c("aut", "cre", "trl")), person("Beth", "Parker", email = "bparker@uoguelph.ca", role = "ths"), person("Wenzel", "Hans-Georg", role = "ctb"))
Maintainer: Jonathan Kennel <jkennel@uoguelph.ca>
Description: This is a port of 'Fortran ETERNA 3.4' <http://igets.u-strasbg.fr/soft_and_tool.php> by H.G. Wenzel for calculating synthetic Earth tides using the Hartmann and Wenzel (1994) <doi:10.1029/95GL03324> or Kudryavtsev (2004) <doi:10.1007/s00190-003-0361-2> tidal catalogs.
BugReports: https://github.com/jkennel/earthtide/issues
URL: https://github.com/jkennel/earthtide
License: GPL-3
Depends: R (>= 3.4.0)
Imports: Rcpp (>= 1.0.0), RcppParallel (>= 4.4.2), R6 (>= 2.3.0)
LinkingTo: Rcpp (>= 1.0.0), RcppParallel (>= 4.4.2), RcppArmadillo (>= 0.9.200.7.0), BH (>= 1.69.0-1)
RoxygenNote: 6.1.1
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: TRUE
NeedsCompilation: yes
Packaged: 2019-03-13 23:45:30 UTC; kennel
Author: Jonathan Kennel [aut, cre, trl], Beth Parker [ths], Wenzel Hans-Georg [ctb]
Repository: CRAN
Date/Publication: 2019-03-15 17:20:10 UTC

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Package cvar updated to version 0.4-0 with previous version 0.3-0 dated 2018-10-06

Title: Compute Expected Shortfall and Value at Risk for Continuous Distributions
Description: Compute expected shortfall (ES) and Value at Risk (VaR) from a quantile function, distribution function, random number generator or probability density function. ES is also known as Conditional Value at Risk (CVaR). Virtually any continuous distribution can be specified. The functions are vectorized over the arguments. The computations are done directly from the definitions, see e.g. Acerbi and Tasche (2002) <doi:10.1111/1468-0300.00091>. Some support for GARCH models is provided, as well.
Author: Georgi N. Boshnakov [aut, cre]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

Diff between cvar versions 0.3-0 dated 2018-10-06 and 0.4-0 dated 2019-03-15

 DESCRIPTION                          |   10 ++++----
 MD5                                  |   32 ++++++++++++++-------------
 NEWS.md                              |   10 ++++++++
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 18 files changed, 97 insertions(+), 36 deletions(-)

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New package cubeview with initial version 0.1.0
Package: cubeview
Type: Package
Title: View 3D Raster Cubes Interactively
Version: 0.1.0
Date: 2019-02-10
Authors@R: c(person(given = "Tim", family = "Appelhans", role = c("cre", "aut"), email = "tim.appelhans@gmail.com"), person(given = "Stefan", family = "Woellauer", role = "aut", email = "stephan.woellauer@geo.uni-marburg.de"))
Maintainer: Tim Appelhans <tim.appelhans@gmail.com>
Description: Creates a 3D data cube view of a RasterStack/Brick, typically a collection/array of RasterLayers (along z-axis) with the same geographical extent (x and y dimensions) and resolution, provided by package 'raster'. Slices through each dimension (x/y/z), freely adjustable in location, are mapped to the visible sides of the cube. The cube can be freely rotated. Zooming and panning can be used to focus on different areas of the cube.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: base64enc, htmltools, htmlwidgets, lattice, raster, viridisLite
Suggests: shiny
LazyData: true
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2019-03-13 17:29:53 UTC; timpanse
Author: Tim Appelhans [cre, aut], Stefan Woellauer [aut]
Repository: CRAN
Date/Publication: 2019-03-15 17:03:47 UTC

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Package AnaCoDa updated to version 0.1.2.3 with previous version 0.1.2.2 dated 2019-03-04

Title: Analysis of Codon Data under Stationarity using a Bayesian Framework
Description: Is a collection of models to analyze genome scale codon data using a Bayesian framework. Provides visualization routines and checkpointing for model fittings. Currently published models to analyze gene data for selection on codon usage based on Ribosome Overhead Cost (ROC) are: ROC (Gilchrist et al. (2015) <doi:10.1093/gbe/evv087>), and ROC with phi (Wallace & Drummond (2013) <doi:10.1093/molbev/mst051>). In addition 'AnaCoDa' contains three currently unpublished models. The FONSE (First order approximation On NonSense Error) model analyzes gene data for selection on codon usage against of nonsense error rates. The PA (PAusing time) and PANSE (PAusing time + NonSense Error) models use ribosome footprinting data to analyze estimate ribosome pausing times with and without nonsense error rate from ribosome footprinting data.
Author: Cedric Landerer [aut, cre], Gabriel Hanas [ctb], Jeremy Rogers [ctb], Alex Cope [ctb], Denizhan Pak [ctb]
Maintainer: Cedric Landerer <cedric.landerer@gmail.com>

Diff between AnaCoDa versions 0.1.2.2 dated 2019-03-04 and 0.1.2.3 dated 2019-03-15

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Package WebGestaltR updated to version 0.3.1 with previous version 0.3.0 dated 2019-01-18

Title: The R Version of WebGestalt
Description: The web version WebGestalt <http://www.webgestalt.org> supports 12 organisms, 354 gene identifiers and 321,251 function categories. Users can upload the data and functional categories with their own gene identifiers. In addition to the Over-Representation Analysis, WebGestalt also supports Gene Set Enrichment Analysis and Network Topology Analysis. The user-friendly output report allows interactive and efficient exploration of enrichment results. The WebGestaltR package not only supports all above functions but also can be integrated into other pipeline or simultaneously analyze multiple gene lists.
Author: Jing Wang [aut], Yuxing Liao [aut, cre]
Maintainer: Yuxing Liao <yuxingliao@gmail.com>

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New package statVisual with initial version 1.0.5
Package: statVisual
Type: Package
Title: Statistical Visualization Tools
Version: 1.0.5
Date: 2019-03-12
Authors@R: c( person("Wenfei", "Zhang", role = c("aut", "cre"), email = "Wenfei.Zhang@sanofi.com"), person("Weiliang", "Qiu", role = c("aut", "ctb"), email = "Weiliang.Qiu@sanofi.com"), person("Xuan", "Lin", role=c("aut", "ctb"), email = "Xuan.Lin@sanofi.com"), person("Donghui", "Zhang", role = c("aut", "ctb"), email = "Donghui.Zhang@sanofi.com") )
Depends: R (>= 3.5.0), Biobase, ggplot2, stats
Imports: GGally, gplots, dplyr, reshape2, ggdendro, tibble, ggfortify, ggrepel, gbm, forestplot, rpart.plot, grDevices, gridExtra, pROC, factoextra, methods, pvca, limma, randomForest, glmnet, knitr, rmarkdown
VignetteBuilder: knitr
Description: Visualization functions in the applications of translational medicine (TM) and biomarker (BM) development to compare groups by statistically visualizing data and/or results of analyses, such as visualizing data by displaying in one figure different groups' histograms, boxplots, densities, scatter plots, error-bar plots, or trajectory plots, by displaying scatter plots of top principal components or dendrograms with data points colored based on group information, or visualizing volcano plots to check the results of whole genome analyses for gene differential expression.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2019-03-12 16:31:27 UTC; i0388414
Author: Wenfei Zhang [aut, cre], Weiliang Qiu [aut, ctb], Xuan Lin [aut, ctb], Donghui Zhang [aut, ctb]
Maintainer: Wenfei Zhang <Wenfei.Zhang@sanofi.com>
Repository: CRAN
Date/Publication: 2019-03-15 16:30:03 UTC

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Package sjstats updated to version 0.17.4 with previous version 0.17.3 dated 2019-01-07

Title: Collection of Convenient Functions for Common Statistical Computations
Description: Collection of convenient functions for common statistical computations, which are not directly provided by R's base or stats packages. This package aims at providing, first, shortcuts for statistical measures, which otherwise could only be calculated with additional effort (like standard errors or root mean squared errors). Second, these shortcut functions are generic (if appropriate), and can be applied not only to vectors, but also to other objects as well (e.g., the Coefficient of Variation can be computed for vectors, linear models, or linear mixed models; the r2()-function returns the r-squared value for 'lm', 'glm', 'merMod' and other model objects). The focus of most functions lies on summary statistics or fit measures for regression models, including generalized linear models, mixed effects models and Bayesian models. However, some of the functions also deal with other statistical measures, like Cronbach's Alpha, Cramer's V, Phi etc.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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New package RblDataLicense with initial version 0.1.2
Package: RblDataLicense
Type: Package
Title: Connect R to 'Bloomberg Data License'
Version: 0.1.2
Date: 2019-03-01
Author: Emanuele Guidotti
Maintainer: Emanuele Guidotti <emanuele.guidotti@hotmail.it>
Description: Download prices, market data, and master data with the 'Bloomberg Data License' service from <https://www.bloomberg.com/professional/product/data-license/>. As a prerequisite, you need a valid license from 'Bloomberg'. This software and its author are in no way affiliated, endorsed, or approved by 'Bloomberg' or any of its affiliates. 'Bloomberg' is a registered trademark.
License: GPL-3
URL: https://github.com/emanuele-guidotti/RblDataLicense
BugReports: https://github.com/emanuele-guidotti/RblDataLicense/issues
Depends: curl, RCurl, xts, R (>= 3.0)
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-03-13 13:42:15 UTC; Emanuele
Repository: CRAN
Date/Publication: 2019-03-15 16:53:48 UTC

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Package MachineLearning updated to version 0.1.3 with previous version 0.0.3 dated 2019-02-22

Title: Machine Learning Algorithms for Innovation in Tourism
Description: A collection of routines created in the collaboration framework in tourism innovation between the Valencian Tourism Agency (AVT) <http://www.turisme.gva.es/opencms/opencms/turisme/es/index.jsp> and the Miguel Hernandez University. The package provides a set of machine learning tools for pattern detection, association and classification rules and feature selection even under massive data environments. Almiñana, Escudero, Pérez-Martín, Rabasa, and Santamaría (2014) <doi:10.1007/s11750-012-0264-6>.
Author: Agustin Perez-Martin [aut] (<https://orcid.org/0000-0003-4994-3176>), Agustin Perez-Torregrosa [cre, aut] (<https://orcid.org/0000-0001-5658-4795>), Alejandro Rabasa-Dolado [aut] (<https://orcid.org/0000-0002-6243-9831>), Nuria Molla-Campello [aut] (<https://orcid.org/0000-0002-6448-7116>), Jesus Javier Rodriguez-Sala [aut] (<https://orcid.org/0000-0002-3796-0692>), Agencia Valenciana de Turisme [ctb, cph, fnd], Miguel Hernandez University [ctb, cph, fnd]
Maintainer: Agustin Perez-Torregrosa <agustin.perez01@goumh.umh.es>

Diff between MachineLearning versions 0.0.3 dated 2019-02-22 and 0.1.3 dated 2019-03-15

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New package ggasym with initial version 0.1.0
Package: ggasym
Type: Package
Title: Asymmetric Matrix Plotting in 'ggplot2'
Version: 0.1.0
Authors@R: person(c("Joshua", "H"), "Cook", email = "joshuacook0023@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-9815-6879"))
URL: https://github.com/jhrcook/ggasym https://jhrcook.github.io/ggasym/
Description: Plots a symmetric matrix with three different fill aesthetics for the top-left and bottom-right triangles and along the diagonal. It operates within the Grammar of Graphics paradigm implemented in 'ggplot2'.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: broom (>= 0.5.1), dplyr (>= 0.8.0), ggplot2 (>= 3.1.0), magrittr (>= 1.5.0), purrr (>= 0.3.0), rlang (>= 0.3.0), scales (>= 1.0.0), stringr (>= 1.4.0), tibble (>= 2.0.0), tidyr (>= 0.8.0)
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown, testthat, spelling, covr
VignetteBuilder: knitr
Language: en-US
BugReports: https://github.com/jhrcook/ggasym/issues
Collate: 'asymmetrise.R' 'asymmetrise_stats.R' 'geom_asymmat.R' 'ggasym.R' 'scale_continuous_asym.R' 'scale_fill_gradient.R' 'utils.R'
NeedsCompilation: no
Packaged: 2019-03-13 13:48:42 UTC; admin
Author: Joshua H Cook [aut, cre] (<https://orcid.org/0000-0001-9815-6879>)
Maintainer: Joshua H Cook <joshuacook0023@gmail.com>
Repository: CRAN
Date/Publication: 2019-03-15 16:50:02 UTC

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New package clustDRM with initial version 0.1-0
Package: clustDRM
Type: Package
Version: 0.1-0
Date: 2019-03-06
Title: Clustering Dose-Response Curves and Fitting Appropriate Models to Them
Authors@R: c( person("Vahid","Nassiri", email = "vahid.nassiri@openanalytics.eu", role = "cre"), person("Yimer", "Wasihun", email= "YKifle@its.jnj.com", role = "aut"), person("Martin", "Otava", email= "motava@ITS.JNJ.com", role = "aut"), person("Helena", "Geys", email= "HGEYS@its.jnj.com", role = "aut"), person("Fetene", "Tekle", email= "ftekle@ITS.JNJ.com", role = "aut"), person("Kanaka", "Tatikola", email= "KTATIKOL@its.jnj.com", role = "aut"), person("Ziv", "Shkedy", email= "ziv.shkedy@uhasselt.be", role = "aut"))
Maintainer: Vahid Nassiri <vahid.nassiri@openanalytics.eu>
Description: Functions to identify the pattern of a dose-response curve. Then fit a set of appropriate models to it according to the identified pattern, followed by model averaging to estimate the effective dose.
Imports: doParallel, parallel, foreach, caret, ORCME, ORIClust, multcomp, IsoGene, DoseFinding, pheatmap, shiny, readr, DT, MCPMod, RColorBrewer,
Suggests: testthat,
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 6.1.0
NeedsCompilation: no
Packaged: 2019-03-13 14:22:02 UTC; vnassiri
Author: Vahid Nassiri [cre], Yimer Wasihun [aut], Martin Otava [aut], Helena Geys [aut], Fetene Tekle [aut], Kanaka Tatikola [aut], Ziv Shkedy [aut]
Repository: CRAN
Date/Publication: 2019-03-15 16:53:44 UTC

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Package odpc updated to version 2.0.1 with previous version 2.0.0 dated 2018-09-12

Title: One-Sided Dynamic Principal Components
Description: Functions to compute the one-sided dynamic principal components ('odpc') introduced in Smucler, Peña and Yohai (2018) <DOI:10.1080/01621459.2018.1520117>. 'odpc' is a novel dimension reduction technique for multivariate time series, that is useful for forecasting. These dynamic principal components are defined as the linear combinations of the present and past values of the series that minimize the reconstruction mean squared error.
Author: Daniel Peña <daniel.pena@uc3m.es>, Ezequiel Smucler <ezequiels.90@gmail.com>, Victor Yohai <vyohai@dm.uba.ar>
Maintainer: Ezequiel Smucler <ezequiels.90@gmail.com>

Diff between odpc versions 2.0.0 dated 2018-09-12 and 2.0.1 dated 2019-03-15

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Package AlphaSimR updated to version 0.10.0 with previous version 0.9.0 dated 2019-02-07

Title: Breeding Program Simulations
Description: The successor to the 'AlphaSim' software for breeding program simulation [Faux et al. (2016) <doi:10.3835/plantgenome2016.02.0013>]. Used for stochastic simulations of breeding programs to the level of DNA sequence for every individual. Contained is a wide range of functions for modeling common tasks in a breeding program, such as selection and crossing. These functions allow for constructing simulations of highly complex plant and animal breeding programs via scripting in the R software environment. Such simulations can be used to evaluate overall breeding program performance and conduct research into breeding program design, such as implementation of genomic selection. Included is the 'Markovian Coalescent Simulator' ('MaCS') for fast simulation of biallelic sequences according to a population demographic history [Chen et al. (2009) <doi:10.1101/gr.083634.108>].
Author: Chris Gaynor [aut, cre] (<https://orcid.org/0000-0003-0558-6656>), Gregor Gorjanc [ctb] (<https://orcid.org/0000-0001-8008-2787>), David Wilson [ctb], Daniel Money [ctb] (<https://orcid.org/0000-0001-5151-3648>), John Hickey [ctb] (<https://orcid.org/0000-0001-5675-3974>)
Maintainer: Chris Gaynor <gaynor.robert@hotmail.com>

Diff between AlphaSimR versions 0.9.0 dated 2019-02-07 and 0.10.0 dated 2019-03-15

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More information about AlphaSimR at CRAN
Permanent link

New package nanostringr with initial version 0.1.0
Type: Package
Package: nanostringr
Title: Performs Quality Control, Data Normalization, and Batch Effect Correction for 'NanoString nCounter' Data
Version: 0.1.0
Date: 2019-03-13
Authors@R: c(person(given = "Derek", family = "Chiu", role = c("aut", "cre"), email = "dchiu@bccrc.ca"), person(given = "Aline", family = "Talhouk", role = "aut", email = "atalhouk@bccrc.ca"), person(given = "Samuel", family = "Leung", role = "aut", email = "Samuel.Leung@vch.ca"))
Description: Provides quality control (QC), normalization, and batch effect correction operations for 'NanoString nCounter' data, Talhouk et al. (2016) <doi:10.1371/journal.pone.0153844>. Various metrics are used to determine which samples passed or failed QC. Gene expression should first be normalized to housekeeping genes, before a reference-based approach is used to adjust for batch effects. Raw NanoString data can be imported in the form of Reporter Code Count (RCC) files.
License: MIT + file LICENSE
URL: https://github.com/OVCARE/nanostringr, https://ovcare.github.io/nanostringr
BugReports: https://github.com/OVCARE/nanostringr/issues
Depends: R (>= 3.5.0)
Imports: assertthat, ccaPP, dplyr, magrittr, purrr, readr, rlang, tibble
Suggests: covr, epiR, ggplot2, knitr, pander, rmarkdown, stringr, testthat, tidyr
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-03-14 22:44:48 UTC; dchiu
Author: Derek Chiu [aut, cre], Aline Talhouk [aut], Samuel Leung [aut]
Maintainer: Derek Chiu <dchiu@bccrc.ca>
Repository: CRAN
Date/Publication: 2019-03-15 14:50:02 UTC

More information about nanostringr at CRAN
Permanent link

Package landscapemetrics updated to version 1.0 with previous version 0.3.1 dated 2019-01-23

Title: Landscape Metrics for Categorical Map Patterns
Description: Calculates landscape metrics for categorical landscape patterns in a tidy workflow. 'landscapemetrics' reimplements the most common metrics from 'FRAGSTATS' (<https://www.umass.edu/landeco/research/fragstats/fragstats.html>) and new ones from the current literature on landscape metrics. This package supports 'raster' spatial objects and takes RasterLayer, RasterStacks, RasterBricks or lists of RasterLayer from the 'raster' package as input arguments. It further provides utility functions to visualize patches, select metrics and building blocks to develop new metrics.
Author: Maximillian H.K. Hesselbarth [aut, cre] (<https://orcid.org/0000-0003-1125-9918>), Marco Sciaini [aut] (<https://orcid.org/0000-0002-3042-5435>), Jakub Nowosad [aut] (<https://orcid.org/0000-0002-1057-3721>), Sebastian Hanss [aut] (<https://orcid.org/0000-0002-3990-4897>), Laura J. Graham [ctb] (Input on package structure), Jeffrey Hollister [ctb] (Input on package structure), Kimberly A. With [ctb] (Input on package structure), Florian Privé [ctb] (Original author of underlying C++ code for get_nearestneighbour() function), Jeremy VanDerWal [ctb] (Original author of underlying C code for get_patches() function), Matt Strimas-Mackey [ctb] (Bugfix in sample_metrics())
Maintainer: Maximillian H.K. Hesselbarth <maximilian.hesselbarth@uni-goettingen.de>

Diff between landscapemetrics versions 0.3.1 dated 2019-01-23 and 1.0 dated 2019-03-15

 DESCRIPTION                                       |   10 
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Package cusum updated to version 0.2.0 with previous version 0.1.0 dated 2018-11-18

Title: CUSUM Charts for Monitoring of Hospital Performance
Description: Provides functions for constructing and evaluating CUSUM charts and RA-CUSUM charts with focus on false signal probability.
Author: Lena Hubig [aut, cre] (<https://orcid.org/0000-0002-9454-1232>)
Maintainer: Lena Hubig <cs@lenahubig.de>

Diff between cusum versions 0.1.0 dated 2018-11-18 and 0.2.0 dated 2019-03-15

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Package callr updated to version 3.2.0 with previous version 3.1.1 dated 2018-12-21

Title: Call R from R
Description: It is sometimes useful to perform a computation in a separate R process, without affecting the current R process at all. This packages does exactly that.
Author: Gábor Csárdi [aut, cre, cph] (<https://orcid.org/0000-0001-7098-9676>), Winston Chang [aut], RStudio [cph, fnd], Mango Solutions [cph, fnd]
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

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Package rsimsum updated to version 0.5.1 with previous version 0.5.0 dated 2019-02-21

Title: Analysis of Simulation Studies Including Monte Carlo Error
Description: Summarise results from simulation studies and compute Monte Carlo standard errors of commonly used summary statistics. This package is modelled on the 'simsum' user-written command in 'Stata' (See White I.R., 2010 <http://www.stata-journal.com/article.html?article=st0200>).
Author: Alessandro Gasparini [aut, cre] (<https://orcid.org/0000-0002-8319-7624>), Ian R. White [aut]
Maintainer: Alessandro Gasparini <ag475@leicester.ac.uk>

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Package littler updated to version 0.3.7 with previous version 0.3.6 dated 2019-01-26

Title: R at the Command-Line via 'r'
Description: A scripting and command-line front-end is provided by 'r' (aka 'littler') as a lightweight binary wrapper around the GNU R language and environment for statistical computing and graphics. While R can be used in batch mode, the r binary adds full support for both 'shebang'-style scripting (i.e. using a hash-mark-exclamation-path expression as the first line in scripts) as well as command-line use in standard Unix pipelines. In other words, r provides the R language without the environment.
Author: Dirk Eddelbuettel and Jeff Horner
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between littler versions 0.3.6 dated 2019-01-26 and 0.3.7 dated 2019-03-15

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Package cNORM updated to version 1.1.8 with previous version 1.1.5 dated 2019-02-06

Title: Continuous Norming
Description: Conventional methods for producing standard scores in psychometrics or biometrics are often plagued with "jumps" or "gaps" (i.e., discontinuities) in norm tables and low confidence for assessing extreme scores. The continuous norming method introduced by A. Lenhard et al. (2016), <doi:10.1177/1073191116656437>, generates continuous test norm scores on the basis of the raw data from standardization samples, without requiring assumptions about the distribution of the raw data: Norm scores are directly established from raw data by modeling the latter ones as a function of both percentile scores and an explanatory variable (e.g., age). The method minimizes bias arising from sampling and measurement error, while handling marked deviations from normality, addressing bottom or ceiling effects and capturing almost all of the variance in the original norm data sample.
Author: Wolfgang Lenhard [cre, aut] (<https://orcid.org/0000-0002-8184-6889>), Alexandra Lenhard [aut], Sebastian Gary [ctb]
Maintainer: Wolfgang Lenhard <wolfgang.lenhard@uni-wuerzburg.de>

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Package Spectrum updated to version 0.4 with previous version 0.3 dated 2019-02-18

Title: Fast Adaptive Spectral Clustering for Single and Multi-View Data
Description: A self-tuning spectral clustering method for single or multi-view data. 'Spectrum' uses a new type of adaptive density aware kernel that strengthens local connections in the graph. For integrating multi-view data and reducing noise a tensor product graph data integration and diffusion procedure is used. 'Spectrum' analyses eigenvector variance or distribution to determine the number of clusters. 'Spectrum' is well suited for a wide range of data, including both Gaussian and non-Gaussian structures.
Author: Christopher R John, David Watson
Maintainer: Christopher R John <chris.r.john86@gmail.com>

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Package jrvFinance updated to version 1.4.1 with previous version 1.4.0 dated 2018-06-17

Title: Basic Finance; NPV/IRR/Annuities/Bond-Pricing; Black Scholes
Description: Implements the basic financial analysis functions similar to (but not identical to) what is available in most spreadsheet software. This includes finding the IRR and NPV of regularly spaced cash flows and annuities. Bond pricing and YTM calculations are included. In addition, Black Scholes option pricing and Greeks are also provided.
Author: Jayanth Varma [aut, cre]
Maintainer: Jayanth Varma <jrvarma@iima.ac.in>

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Package PCMBase updated to version 1.2.9 with previous version 1.2.7 dated 2018-11-30

Title: Simulation and Likelihood Calculation of Phylogenetic Comparative Models
Description: Phylogenetic comparative methods represent models of continuous trait data associated with the tips of a phylogenetic tree. Examples of such models are Gaussian continuous time branching stochastic processes such as Brownian motion (BM) and Ornstein-Uhlenbeck (OU) processes, which regard the data at the tips of the tree as an observed (final) state of a Markov process starting from an initial state at the root and evolving along the branches of the tree. The PCMBase R package provides a general framework for manipulating such models. This framework consists of an application programming interface for specifying data and model parameters, and efficient algorithms for simulating trait evolution under a model and calculating the likelihood of model parameters for an assumed model and trait data. The package implements a growing collection of models, which currently includes BM, OU, BM/OU with jumps, two-speed OU as well as mixed Gaussian models, in which different types of the above models can be associated with different branches of the tree. The PCMBase package is limited to trait-simulation and likelihood calculation of (mixed) Gaussian phylogenetic models. The PCMFit package provides functionality for ML and Bayesian fit of these models to tree and trait data. The package web-site <https://venelin.github.io/PCMBase/> provides access to the documentation and other resources.
Author: Venelin Mitov [aut, cre, cph], Krzysztof Bartoszek [ctb], Georgios Asimomitis [ctb], Tanja Stadler [ctb]
Maintainer: Venelin Mitov <vmitov@gmail.com>

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Package gWQS updated to version 1.1.1 with previous version 1.1.0 dated 2018-05-07

Title: Generalized Weighted Quantile Sum Regression
Description: Fits Weighted Quantile Sum (WQS) regressions for continuous or binomial outcomes.
Author: Stefano Renzetti, Paul Curtin, Allan C Just, Ghalib Bello, Chris Gennings
Maintainer: Stefano Renzetti <stefano.renzetti88@gmail.com>

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Package TIMP updated to version 1.13.2 with previous version 1.13.1 dated 2019-01-28

Title: Fitting Separable Nonlinear Models in Spectroscopy and Microscopy
Description: A problem-solving environment (PSE) for fitting separable nonlinear models to measurements arising in physics and chemistry experiments; has been extensively applied to time-resolved spectroscopy and FLIM-FRET data.
Author: Katharine M. Mullen, Joris J. Snellenburg, Sergey P. Laptenok, David Nicolaides, Ivo H.M. van Stokkum
Maintainer: Joris J. Snellenburg <j.snellenburg@vu.nl>

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Package Rmalschains updated to version 0.2-5 with previous version 0.2-4 dated 2018-04-28

Title: Continuous Optimization using Memetic Algorithms with Local Search Chains (MA-LS-Chains) in R
Description: An implementation of an algorithm family for continuous optimization called memetic algorithms with local search chains (MA-LS-Chains). Memetic algorithms are hybridizations of genetic algorithms with local search methods. They are especially suited for continuous optimization.
Author: Christoph Bergmeir [aut, cre, cph], José M. Benítez [ths], Daniel Molina [aut, cph], Robert Davies [ctb, cph] (Developer of the matrix library newmat which partly ships with this package), Dirk Eddelbuettel [ctb, cph] (Developer of RcppDE from which code was used in evaluate.h), Nikolaus Hansen [ctb, cph] (Author of the original cmaes implementation that ships with the package)
Maintainer: Christoph Bergmeir <c.bergmeir@decsai.ugr.es>

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Package Rborist updated to version 0.1-16 with previous version 0.1-15 dated 2019-03-14

Title: Extensible, Parallelizable Implementation of the Random Forest Algorithm
Description: Scalable implementation of classification and regression forests, as described by Breiman (2001), <DOI:10.1023/A:1010933404324>.
Author: Mark Seligman
Maintainer: Mark Seligman <mseligman@suiji.org>

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Package PBSmapping updated to version 2.72.1 with previous version 2.70.5 dated 2018-06-06

Title: Mapping Fisheries Data and Spatial Analysis Tools
Description: This software has evolved from fisheries research conducted at the Pacific Biological Station (PBS) in 'Nanaimo', British Columbia, Canada. It extends the R language to include two-dimensional plotting features similar to those commonly available in a Geographic Information System (GIS). Embedded C code speeds algorithms from computational geometry, such as finding polygons that contain specified point events or converting between longitude-latitude and Universal Transverse Mercator (UTM) coordinates. Additionally, we include 'C++' code developed by Angus Johnson for the 'Clipper' library, data for a global shoreline, and other data sets in the public domain. Under the user's R library directory '.libPaths()', specifically in './PBSmapping/doc', a complete user's guide is offered and should be consulted to use package functions effectively.
Author: Jon T. Schnute [aut], Nicholas Boers [aut], Rowan Haigh [aut, cre], Alex Couture-Beil [ctb], Denis Chabot [ctb], Chris Grandin [ctb], Angus Johnson [ctb], Paul Wessel [ctb], Franklin Antonio [ctb], Nicholas J. Lewin-Koh [ctb], Roger Bivand [ctb]
Maintainer: Rowan Haigh <rowan.haigh@dfo-mpo.gc.ca>

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Package MultiRobust updated to version 1.0.3 with previous version 1.0.2 dated 2019-03-14

Title: Multiply Robust Methods for Missing Data Problems
Description: Multiply robust estimation for population mean (Han and Wang 2013) <doi:10.1093/biomet/ass087>, regression analysis (Han 2014) <doi:10.1080/01621459.2014.880058> (Han 2016) <doi:10.1111/sjos.12177> and quantile regression (Han et al. 2019) <doi:10.1111/rssb.12309>.
Author: Shixiao Zhang and Peisong Han
Maintainer: Shixiao Zhang <praetere@gmail.com>

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Package lmvar updated to version 1.5.1 with previous version 1.5.0 dated 2018-05-07

Title: Linear Regression with Non-Constant Variances
Description: Runs a linear-like regression with in which both the expected value and the variance can vary per observation. The expected values mu follows the standard linear model mu = X_mu * beta_mu. The standard deviation sigma follows the model log(sigma) = X_sigma * beta_sigma. The package comes with two vignettes: 'Intro' gives an introduction, 'Math' gives mathematical details.
Author: Posthuma Partners <info@posthuma-partners.nl>
Maintainer: Marco Nijmeijer <nijmeijer@posthuma-partners.nl>

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Package brms updated to version 2.8.0 with previous version 2.7.0 dated 2018-12-17

Title: Bayesian Regression Models using 'Stan'
Description: Fit Bayesian generalized (non-)linear multivariate multilevel models using 'Stan' for full Bayesian inference. A wide range of distributions and link functions are supported, allowing users to fit -- among others -- linear, robust linear, count data, survival, response times, ordinal, zero-inflated, hurdle, and even self-defined mixture models all in a multilevel context. Further modeling options include non-linear and smooth terms, auto-correlation structures, censored data, meta-analytic standard errors, and quite a few more. In addition, all parameters of the response distribution can be predicted in order to perform distributional regression. Prior specifications are flexible and explicitly encourage users to apply prior distributions that actually reflect their beliefs. Model fit can easily be assessed and compared with posterior predictive checks and leave-one-out cross-validation. References: Bürkner (2017) <doi:10.18637/jss.v080.i01>; Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>.
Author: Paul-Christian Bürkner [aut, cre]
Maintainer: Paul-Christian Bürkner <paul.buerkner@gmail.com>

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Package PTXQC updated to version 0.92.5 with previous version 0.92.4 dated 2019-02-08

Title: Quality Report Generation for MaxQuant Results
Description: Generates Proteomics (PTX) quality control (QC) reports for shotgun LC-MS data analyzed with the MaxQuant software suite. Reports are customizable (target thresholds, subsetting) and available in HTML or PDF format. Published in J. Proteome Res., Proteomics Quality Control: Quality Control Software for MaxQuant Results (2015) 'doi:10.1021/acs.jproteome.5b00780'.
Author: Chris Bielow <chris.bielow@fu-berlin.de>
Maintainer: Chris Bielow <chris.bielow@fu-berlin.de>

Diff between PTXQC versions 0.92.4 dated 2019-02-08 and 0.92.5 dated 2019-03-15

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Package ordinalgmifs updated to version 1.0.6 with previous version 1.0.5 dated 2018-07-16

Title: Ordinal Regression for High-Dimensional Data
Description: Provides a function for fitting cumulative link, adjacent category, forward and backward continuation ratio, and stereotype ordinal response models when the number of parameters exceeds the sample size, using the the generalized monotone incremental forward stagewise method.
Author: Kellie J. Archer, Jiayi Hou, Qing Zhou, Kyle Ferber, John G. Layne, Amanda Gentry
Maintainer: Kellie J. Archer <archer.43@osu.edu>

Diff between ordinalgmifs versions 1.0.5 dated 2018-07-16 and 1.0.6 dated 2019-03-15

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Package msir updated to version 1.3.2 with previous version 1.3.1 dated 2016-04-07

Title: Model-Based Sliced Inverse Regression
Description: An R package for dimension reduction based on finite Gaussian mixture modeling of inverse regression.
Author: Luca Scrucca [aut, cre] (<https://orcid.org/0000-0003-3826-0484>)
Maintainer: Luca Scrucca <luca.scrucca@unipg.it>

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Package gsl updated to version 2.1-5 with previous version 1.9-10.3 dated 2017-01-05

Title: Wrapper for the Gnu Scientific Library
Description: An R wrapper for some of the functionality of the Gnu Scientific Library.
Author: Robin K. S. Hankin [aut, cre] (<https://orcid.org/0000-0001-5982-0415>), Andrew Clausen [ctb] (multimin functionality), Duncan Murdoch [ctb] (qrng functions)
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package getmstatistic updated to version 0.2.0 with previous version 0.1.1 dated 2017-06-08

Title: Quantifying Systematic Heterogeneity in Meta-Analysis
Description: Quantifying systematic heterogeneity in meta-analysis using R. The M statistic aggregates heterogeneity information across multiple variants to, identify systematic heterogeneity patterns and their direction of effect in meta-analysis. It's primary use is to identify outlier studies, which either show "null" effects or consistently show stronger or weaker genetic effects than average across, the panel of variants examined in a GWAS meta-analysis. In contrast to conventional heterogeneity metrics (Q-statistic, I-squared and tau-squared) which measure random heterogeneity at individual variants, M measures systematic (non-random) heterogeneity across multiple independently associated variants. Systematic heterogeneity can arise in a meta-analysis due to differences in the study characteristics of participating studies. Some of the differences may include: ancestry, allele frequencies, phenotype definition, age-of-disease onset, family-history, gender, linkage disequilibrium and quality control thresholds. See <https://magosil86.github.io/getmstatistic/> for statistical statistical theory, documentation and examples.
Author: Lerato E Magosi [aut], Jemma C Hopewell [aut], Martin Farrall [aut], Lerato E Magosi [cre]
Maintainer: Lerato E Magosi <magosil86@gmail.com>

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Package rclipboard updated to version 0.1.1 with previous version 0.1 dated 2017-07-29

Title: Shiny/R Wrapper for 'clipboard.js'
Description: Leverages the functionality of 'clipboard.js', a JavaScript library for HMTL5-based copy to clipboard from web pages (see <https://clipboardjs.com> for more information), and provides a reactive copy-to-clipboard UI button component, called 'rclipButton', for 'shiny' R applications.
Author: Sebastien Bihorel
Maintainer: Sebastien Bihorel <sb.pmlab@gmail.com>

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Package kmer updated to version 1.1.1 with previous version 1.1.0 dated 2018-07-04

Title: Fast K-Mer Counting and Clustering for Biological Sequence Analysis
Description: Contains tools for rapidly computing distance matrices and clustering large sequence datasets using fast alignment-free k-mer counting and recursive k-means partitioning. See Vinga and Almeida (2003) <doi:10.1093/bioinformatics/btg005> for a review of k-mer counting methods and applications for biological sequence analysis.
Author: Shaun Wilkinson [aut, cre]
Maintainer: Shaun Wilkinson <shaunpwilkinson@gmail.com>

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Package GGIR updated to version 1.9-0 with previous version 1.8-1 dated 2019-01-11

Title: Raw Accelerometer Data Analysis
Description: A tool to process and analyse data collected with wearable raw acceleration sensors as described in van Hees and colleagues (2014) <doi: 10.1152/japplphysiol.00421.2014> and (2015) <doi: 10.1371/journal.pone.0142533>. The package has been developed and tested for binary data from 'GENEActiv' <https://www.activinsights.com/> and GENEA devices (not for sale), .csv-export data from 'Actigraph' <http://actigraphcorp.com> devices, and .cwa and .wav-format data from 'Axivity' <https://axivity.com/product/ax3>. These devices are currently widely used in research on human daily physical activity.
Author: Vincent T van Hees [aut, cre], Zhou Fang [ctb], Jing Hua Zhao [ctb], Joe Heywood [ctb], Evgeny Mirkes [ctb], Severine Sabia [ctb], Joan Capdevila Pujol [ctb], Jairo H Migueles [ctb]
Maintainer: Vincent T van Hees <vincentvanhees@gmail.com>

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Package aphid updated to version 1.3.2 with previous version 1.3.1 dated 2018-11-10

Title: Analysis with Profile Hidden Markov Models
Description: Designed for the development and application of hidden Markov models and profile HMMs for biological sequence analysis. Contains functions for multiple and pairwise sequence alignment, model construction and parameter optimization, file import/export, implementation of the forward, backward and Viterbi algorithms for conditional sequence probabilities, tree-based sequence weighting, and sequence simulation. Features a wide variety of potential applications including database searching, gene-finding and annotation, phylogenetic analysis and sequence classification. Based on the models and algorithms described in Durbin et al (1998, ISBN: 9780521629713).
Author: Shaun Wilkinson [aut, cre]
Maintainer: Shaun Wilkinson <shaunpwilkinson@gmail.com>

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Package race (with last version 0.1.59) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2012-04-06 0.1.59
2010-02-05 0.1.58
2005-04-01 0.1.56

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Package uavRst (with last version 0.5-2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2018-12-09 0.5-2
2018-11-19 0.5-0

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Package zonator (with last version 0.5.9) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2017-12-17 0.5.9
2017-08-20 0.5.8
2017-07-09 0.5.7

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Package ridge updated to version 2.4 with previous version 2.3 dated 2018-07-26

Title: Ridge Regression with Automatic Selection of the Penalty Parameter
Description: Linear and logistic ridge regression functions. Additionally includes special functions for genome-wide single-nucleotide polymorphism (SNP) data.
Author: Steffen Moritz [aut, cre] (<https://orcid.org/0000-0002-0085-1804>), Erika Cule [aut]
Maintainer: Steffen Moritz <steffen.moritz10@gmail.com>

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Package qwraps2 updated to version 0.4.1 with previous version 0.4.0 dated 2019-01-14

Title: Quick Wraps 2
Description: A collection of (wrapper) functions the creator found useful for quickly placing data summaries and formatted regression results into '.Rnw' or '.Rmd' files. Functions for generating commonly used graphics, such as receiver operating curves or Bland-Altman plots, are also provided by 'qwraps2'. 'qwraps2' is a updated version of a package 'qwraps'. The original version 'qwraps' was never submitted to CRAN but can be found at <https://github.com/dewittpe/qwraps/>. The implementation and limited scope of the functions within 'qwraps2' <https://github.com/dewittpe/qwraps2/> is fundamentally different from 'qwraps'.
Author: Peter DeWitt [aut, cre], Tell Bennett [ctb]
Maintainer: Peter DeWitt <dewittpe@gmail.com>

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Package pocrm updated to version 0.12 with previous version 0.11 dated 2018-03-02

Title: Dose Finding in Drug Combination Phase I Trials Using PO-CRM
Description: Provides functions to implement and simulate the partial order continual reassessment method (PO-CRM) of Wages, Conaway and O'Quigley (2011) <doi:10.1177/1740774511408748> for use in Phase I trials of combinations of agents. Provides a function for generating a set of initial guesses (skeleton) for the toxicity probabilities at each combination that correspond to the set of possible orderings of the toxicity probabilities specified by the user.
Author: Nolan A. Wages
Maintainer: "Varhegyi, Nikole E. (nev4g)" <nev4g@virginia.edu>

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Package overture updated to version 0.2-0 with previous version 0.1-0 dated 2019-01-25

Title: Tools for Writing MCMC
Description: Simplifies MCMC setup by automatically looping through sampling functions and saving the results. Reduces the memory footprint of running MCMC and saves samples to disk as the chain runs. Allows samples from the chain to be analyzed while the MCMC is still running. Provides functions for commonly performed operations such as calculating Metropolis acceptance ratios and creating adaptive Metropolis samplers. References: Roberts and Rosenthal (2009) <doi:10.1198/jcgs.2009.06134>.
Author: Kurtis Shuler [aut, cre]
Maintainer: Kurtis Shuler <kurtis.s.1122+CRAN@gmail.com>

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Package gitlabr updated to version 1.1.6 with previous version 0.9 dated 2017-04-25

Title: Access to the Gitlab API
Description: Provides R functions to access the API of the project and repository management web application gitlab. For many common tasks (repository file access, issue assignment and status, commenting) convenience wrappers are provided, and in addition the full API can be used by specifying request locations. Gitlab is open-source software and can be self-hosted or used on gitlab.com.
Author: Jirka Lewandowski [aut, cre]
Maintainer: Jirka Lewandowski <jirka.lewandowski@wzb.eu>

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Package EGRETci updated to version 2.0.3 with previous version 2.0.2 dated 2019-02-12

Title: Exploration and Graphics for RivEr Trends Confidence Intervals
Description: Collection of functions to evaluate uncertainty of results from water quality analysis using the Weighted Regressions on Time Discharge and Season (WRTDS) method. This package is an add-on to the EGRET package that performs the WRTDS analysis. The WRTDS modeling method was initially introduced and discussed in Hirsch et al. (2010) <doi:10.1111/j.1752-1688.2010.00482.x>, and expanded in Hirsch and De Cicco (2015) <doi:10.3133/tm4A10>. The paper describing the uncertainty and confidence interval calculations is Hirsch et al. (2015) <doi:10.1016/j.envsoft.2015.07.017>.
Author: Laura DeCicco [aut, cre] (<https://orcid.org/0000-0002-3915-9487>), Robert Hirsch [aut] (<https://orcid.org/0000-0002-4534-075X>), Jennifer Murphy [ctb]
Maintainer: Laura DeCicco <ldecicco@usgs.gov>

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