Tue, 25 Oct 2016

Package pbdDEMO updated to version 0.3-1 with previous version 0.3-0 dated 2016-01-24

Title: Programming with Big Data -- Demonstrations and Examples Using 'pbdR' Packages
Description: A set of demos of 'pbdR' packages, together with a useful, unifying vignette.
Author: Drew Schmidt [aut, cre], Wei-Chen Chen [aut], George Ostrouchov [aut], Pragneshkumar Patel [aut]
Maintainer: Drew Schmidt <schmidt@math.utk.edu>

Diff between pbdDEMO versions 0.3-0 dated 2016-01-24 and 0.3-1 dated 2016-10-25

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 pbdDEMO-0.3-1/pbdDEMO/ChangeLog                                                    |    5 
 pbdDEMO-0.3-1/pbdDEMO/DESCRIPTION                                                  |   21 +-
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 pbdDEMO-0.3-1/pbdDEMO/demo/00Index                                                 |    1 
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 pbdDEMO-0.3-1/pbdDEMO/demo/ols.r                                                   |    2 
 pbdDEMO-0.3-1/pbdDEMO/demo/ols_dmat.r                                              |    2 
 pbdDEMO-0.3-1/pbdDEMO/demo/phyclust_bootstrap.r                                    |    2 
 pbdDEMO-0.3-1/pbdDEMO/demo/quantile.r                                              |    2 
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 pbdDEMO-0.3-1/pbdDEMO/demo/read_csv.r                                              |    2 
 pbdDEMO-0.3-1/pbdDEMO/demo/read_ncdf.r                                             |    2 
 pbdDEMO-0.3-1/pbdDEMO/demo/sample_stat.r                                           |    2 
 pbdDEMO-0.3-1/pbdDEMO/demo/sample_stat_dmat.r                                      |    2 
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More information about pbdDEMO at CRAN
Permanent link

Package MVR updated to version 1.31.0 with previous version 1.30.3 dated 2016-01-28

Title: Mean-Variance Regularization
Description: This is a non-parametric method for joint adaptive mean-variance regularization and variance stabilization of high-dimensional data. It is suited for handling difficult problems posed by high-dimensional multivariate datasets (p >> n paradigm). Among those are that the variance is often a function of the mean, variable-specific estimators of variances are not reliable, and tests statistics have low powers due to a lack of degrees of freedom. Key features include: (i) Normalization and/or variance stabilization of the data, (ii) Computation of mean-variance-regularized t-statistics (F-statistics to follow), (iii) Generation of diverse diagnostic plots, (iv) Computationally efficient implementation using C/C++ interfacing and an option for parallel computing to enjoy a faster and easier experience in the R environment.
Author: Jean-Eudes Dazard [aut, cre], Hua Xu [ctb], Alberto Santana [ctb]
Maintainer: Jean-Eudes Dazard <jean-eudes.dazard@case.edu>

Diff between MVR versions 1.30.3 dated 2016-01-28 and 1.31.0 dated 2016-10-25

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More information about MVR at CRAN
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Package Momocs updated to version 1.1.0 with previous version 1.0.0 dated 2016-03-18

Title: Morphometrics using R
Description: A complete toolkit for morphometrics, from data extraction to multivariate analyses. Most common 2D morphometrics approaches are included: outlines, open outlines, configurations of landmarks, traditional morphometrics, and facilities for data preparation, manipulation and visualization with a consistent grammar throughout. Momocs allows reproducible, complex morphometric analyses, paves the way for a pure open-source workflow in R, and other morphometrics approaches should be easy to plug in, or develop from, on top of this canvas.
Author: Vincent Bonhomme [aut, cre], Julien Claude [aut]
Maintainer: Vincent Bonhomme <bonhomme.vincent@gmail.com>

Diff between Momocs versions 1.0.0 dated 2016-03-18 and 1.1.0 dated 2016-10-25

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New package countyweather with initial version 0.1.0
Package: countyweather
Type: Package
Title: Compiles Meterological Data for U.S. Counties
Version: 0.1.0
Date: 2016-10-25
Authors@R: c(person("Rachel", "Severson", email = "rachel.severson@colostate.edu", role = c("aut", "cre")), person("Brooke", "Anderson", email = "brooke.anderson@colostate.edu", role = c("aut")))
Description: Interacts with NOAA data sources (including the NCDC API at <http://www.ncdc.noaa.gov/cdo-web/webservices/v2> and ISD data) using functions from the 'rnoaa' package to obtain and compile weather time series for U.S. counties. This work was supported in part by grants from the National Institute of Environmental Health Sciences (R00ES022631) and the Colorado State University Water Center.
License: GPL-2
LazyData: TRUE
Imports: dplyr (>= 0.4.3), ggmap (>= 2.6.1), ggplot2 (>= 2.1.0), geosphere (>= 1.5.1), lubridate (>= 1.5.6), purrr (>= 0.2.1), raster (>= 2.5.8), rnoaa (>= 0.6.5), sp (>= 1.2.3), stringi (>= 1.1.1), tibble(>= 1.2), tidyr (>= 0.3.1), tigris (>= 0.3.3)
RoxygenNote: 5.0.1
Depends: R (>= 3.3.0)
Suggests: countytimezones (>= 0.1.0), knitr (>= 1.14.0), pander(>= 0.6.0), rmarkdown (>= 1.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-10-25 19:13:55 UTC; brookeanderson
Author: Rachel Severson [aut, cre], Brooke Anderson [aut]
Maintainer: Rachel Severson <rachel.severson@colostate.edu>
Repository: CRAN
Date/Publication: 2016-10-26 00:17:31

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New package cablecuttr with initial version 0.1.0
Package: cablecuttr
Type: Package
Title: A CanIStream.It API Wrapper
Version: 0.1.0
Date: 2016-10-25
Authors@R: person("Mikhail", "Popov", email = "mikhail@mpopov.com", role = c("aut", "cre"), comment = "@bearloga on Twitter")
Maintainer: Mikhail Popov <mikhail@mpopov.com>
Description: A wrapper for the CanIStream.It API for searching across the most popular streaming, rental, and purchase services to find where a movie is available.
Depends: R (>= 3.0.0)
Imports: httr, jsonlite
URL: https://github.com/bearloga/cablecuttr
BugReports: https://github.com/bearloga/cablecuttr/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-10-25 20:41:46 UTC; mikhail
Author: Mikhail Popov [aut, cre] (@bearloga on Twitter)
Repository: CRAN
Date/Publication: 2016-10-26 00:14:19

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Package rmcfs updated to version 1.1.2 with previous version 1.1.1 dated 2016-03-29

Title: The MCFS-ID Algorithm for Feature Selection and Interdependency Discovery
Description: MCFS-ID (Monte Carlo Feature Selection and Interdependency Discovery) is a Monte Carlo method-based tool for feature selection. It also allows for the discovery of interdependencies between the relevant features. MCFS-ID is particularly suitable for the analysis of high-dimensional, 'small n large p' transactional and biological data.
Author: Michal Draminski [aut, cre], Jacek Koronacki [aut], Julian Zubek [ctb]
Maintainer: Michal Draminski <mdramins@ipipan.waw.pl>

Diff between rmcfs versions 1.1.1 dated 2016-03-29 and 1.1.2 dated 2016-10-25

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 rmcfs-1.1.2/rmcfs/DESCRIPTION                                                            |   10 
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 rmcfs-1.1.2/rmcfs/NEWS                                                                   |   62 
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 rmcfs-1.1.2/rmcfs/man/build.idgraph.Rd                                                   |    2 
 rmcfs-1.1.2/rmcfs/man/mcfs.Rd                                                            |    7 
 rmcfs-1.1.2/rmcfs/man/plot.mcfs.Rd                                                       |    4 
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More information about rmcfs at CRAN
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Package readbulk updated to version 1.1.0 with previous version 1.0.0 dated 2016-02-14

Title: Read and Combine Multiple Data Files
Description: Combine multiple data files from a common directory. The data files will be read into R and bound together, creating a single large data.frame. A general function is provided along with a specific function for data that was collected using the open-source experiment builder 'OpenSesame' <http://osdoc.cogsci.nl/>.
Author: Pascal J. Kieslich [aut, cre], Felix Henninger [aut]
Maintainer: Pascal J. Kieslich <kieslich@psychologie.uni-mannheim.de>

Diff between readbulk versions 1.0.0 dated 2016-02-14 and 1.1.0 dated 2016-10-25

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Package mousetrap updated to version 2.0.0 with previous version 1.2.0 dated 2016-07-09

Title: Process and Analyze Mouse-Tracking Data
Description: Mouse-tracking, the analysis of mouse movements in computerized experiments, is a method that is becoming increasingly popular in the cognitive sciences. The mousetrap package offers functions for importing, preprocessing, analyzing, aggregating, and visualizing mouse-tracking data.
Author: Pascal J. Kieslich [aut, cre], Felix Henninger [aut], Dirk U. Wulff [ctb], Sarah Brockhaus [ctb]
Maintainer: Pascal J. Kieslich <kieslich@psychologie.uni-mannheim.de>

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Package MBC updated to version 0.10-1 with previous version 0.1 dated 2016-10-13

Title: Multivariate Bias Correction of Climate Model Outputs
Description: Calibrate and apply multivariate bias correction algorithms for climate model simulations of multiple climate variables. Three methods by Cannon (2016, submitted) are supported: MBCp, MBCr, and MBCn.
Author: Alex J. Cannon
Maintainer: Alex J. Cannon <alex.cannon@canada.ca>

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Package lexRankr updated to version 0.3.0 with previous version 0.2.0 dated 2016-09-21

Title: Extractive Summarization of Text with the LexRank Algorithm
Description: An R implementation of the LexRank algorithm described by G. Erkan and D. R. Radev (2004) <DOI:10.1613/jair.1523>.
Author: Adam Spannbauer <spannbaueradam@gmail.com>
Maintainer: Adam Spannbauer <spannbaueradam@gmail.com>

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Package GeneticSubsetter updated to version 0.8 with previous version 0.7 dated 2016-03-29

Title: Identify Favorable Subsets of Germplasm Collections
Description: Finds subsets of sets of genotypes with a high Heterozygosity, and Mean of Transformed Kinships (MTK), measures that can indicate a subset would be beneficial for rare-trait discovery and genome-wide association scanning, respectively.
Author: Ryan C. Graebner and Alfonso Cuesta-Marcos
Maintainer: Ryan C. Graebner <ryan.graebner@gmail.com>

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Package BayesianNetwork updated to version 0.1.1 with previous version 0.1.0 dated 2016-07-20

Title: Bayesian Network Modeling and Analysis
Description: A 'Shiny' web application for creating interactive Bayesian Network models, learning the structure and parameters of Bayesian networks, and utilities for classical network analysis.
Author: Paul Govan [aut, cre]
Maintainer: Paul Govan <pgovan1@aggienetwork.com>

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Package smooth updated to version 1.4.6 with previous version 1.4.5 dated 2016-10-17

Title: Forecasting Using Smoothing Functions
Description: The set of smoothing functions used for time series analysis and in forecasting. Currently the package includes exponential smoothing models and SARIMA in state-space form + several simulation functions.
Author: Ivan Svetunkov [aut, cre] (Research Associate at Lancaster Centre for Forecasting, UK)
Maintainer: Ivan Svetunkov <ivan@svetunkov.ru>

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Package rehh updated to version 2.0.1 with previous version 2.0.0 dated 2016-08-01

Title: Searching for Footprints of Selection using Haplotype Homozygosity Based Tests
Description: Functions for the detection of footprints of selection on dense SNP data using Extended Homozygosity Haplotype (EHH) based tests. The package includes computation of EHH, iHS (within population) and Rsb or XP-EHH (across pairs of populations) statistics. Various plotting functions are also included to facilitate visualization and interpretation of the results.
Author: Mathieu Gautier, Alexander Klassmann and Renaud Vitalis
Maintainer: Mathieu Gautier <mathieu.gautier@supagro.inra.fr>

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Package Rcmdr updated to version 2.3-1 with previous version 2.3-0 dated 2016-08-24

Title: R Commander
Description: A platform-independent basic-statistics GUI (graphical user interface) for R, based on the tcltk package.
Author: John Fox [aut, cre], Milan Bouchet-Valat [aut], Liviu Andronic [ctb], Michael Ash [ctb], Theophilius Boye [ctb], Stefano Calza [ctb], Andy Chang [ctb], Philippe Grosjean [ctb], Richard Heiberger [ctb], Kosar Karimi Pour [ctb], G. Jay Kerns [ctb], Renaud Lancelot [ctb], Matthieu Lesnoff [ctb], Uwe Ligges [ctb], Samir Messad [ctb], Martin Maechler [ctb], Robert Muenchen [ctb], Duncan Murdoch [ctb], Erich Neuwirth [ctb], Dan Putler [ctb], Brian Ripley [ctb], Miroslav Ristic [ctb], Peter Wolf [ctb], Kevin Wright [ctb]
Maintainer: John Fox <jfox@mcmaster.ca>

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Package Rblpapi updated to version 0.3.5 with previous version 0.3.4 dated 2016-05-08

Title: R Interface to 'Bloomberg'
Description: An R Interface to 'Bloomberg' is provided via the 'Blp API'.
Author: Whit Armstrong, Dirk Eddelbuettel and John Laing
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package oem updated to version 2.0.2 with previous version 2.0.1 dated 2016-10-19

Title: Orthogonalizing EM
Description: Solves penalized least squares problems using the orthogonalizing EM algorithm of Xiong et al. (2016) <doi:10.1080/00401706.2015.1054436>. The main fitting function is oem() and the functions cv.oem() and xval.oem() are for cross validation, the latter being an accelerated cross validation function for linear models. The big.oem() function allows for out of memory fitting.
Author: Bin Dai [aut], Jared Huling [aut, cre], Yixuan Qiu [ctb]
Maintainer: Jared Huling <jaredhuling@gmail.com>

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Package nonmem2R updated to version 0.1.5 with previous version 0.1.4 dated 2016-05-10

Title: Loading NONMEM Output Files and Simulate with Parameter Uncertainty
Description: Loading NONMEM (NONlinear Mixed-Effect Modeling, <http://www.iconplc.com/innovation/solutions/nonmem/> ) output files and simulate with parameter uncertainty.
Author: Magnus Astrand
Maintainer: Magnus Astrand <magnus.astrand@astrazeneca.com>

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Package mvMORPH updated to version 1.0.8 with previous version 1.0.7 dated 2016-06-18

Title: Multivariate Comparative Tools for Fitting Evolutionary Models to Morphometric Data
Description: Fits multivariate (Brownian Motion, Early Burst, ACDC, Ornstein-Uhlenbeck and Shifts) models of continuous traits evolution on trees and time series.
Author: Julien Clavel, with contributions from Aaron King, and Emmanuel Paradis
Maintainer: Julien Clavel <julien.clavel@hotmail.fr>

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Package MEGENA updated to version 1.3.5-2 with previous version 1.3.4-6 dated 2016-10-06

Title: Multiscale Clustering of Geometrical Network
Description: Co-Expression Network Analysis by adopting network embedding technique.
Author: Won-Min Song, Bin Zhang
Maintainer: Won-Min Song <wonmin1984@gmail.com>

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Package JRF updated to version 0.1-4 with previous version 0.1-3 dated 2016-01-20

Title: Joint Random Forest (JRF) for the Simultaneous Estimation of Multiple Related Networks
Description: Simultaneous estimation of multiple related networks.
Author: Francesca Petralia Developer [aut, cre], Pei Wang Developer [aut], Zhidong Tu Developer [aut], Won-min Song Developer [aut], Adele Cutler Developer [ctb], Leo Breiman Developer [ctb], Andy Liaw Developer [ctb], Matthew Wiener Developer [ctb]
Maintainer: Francesca Petralia Developer <francesca.petralia@mssm.edu>

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Package imp4p updated to version 0.2 with previous version 0.1 dated 2016-08-18

Title: Imputation for Proteomics
Description: Functions to analyse missing value mechanisms and to impute data sets in the context of bottom-up MS-based proteomics.
Author: Quentin Giai Gianetto
Maintainer: Quentin Giai Gianetto <quentin2g@yahoo.fr>

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Package homeR updated to version 0.3.0 with previous version 0.2 dated 2016-06-06

Title: Useful Functions for Building Physics
Description: A collection of functions useful for the analysis of building physics experiments.
Author: Neurobat AG
Maintainer: David Lindelöf <david.lindelof@neurobat.net>

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Package gnumeric updated to version 0.7-6 with previous version 0.7-4 dated 2015-07-03

Title: Read Data from Files Readable by 'gnumeric'
Description: Read data files readable by 'gnumeric' into 'R'. Can read whole sheet or a range, from several file formats, including the native format of 'gnumeric'. Reading is done by using 'ssconvert' (a file converter utility included in the 'gnumeric' distribution <http://projects.gnome.org/gnumeric/>) to convert the requested part to CSV. From 'gnumeric' files (but not other formats) can list sheet names and sheet sizes or read all sheets.
Author: Karoly Antal <antalk2@gmail.com>.
Maintainer: Karoly Antal <antalk2@gmail.com>

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Package findviews updated to version 0.1.2 with previous version 0.1.1 dated 2016-10-10

Title: A View Generator for Multidimensional Data
Description: A tool to explore wide data sets, by detecting, ranking and plotting groups of statistically dependent columns.
Author: Thibault Sellam
Maintainer: Thibault Sellam <thibault.sellam@cwi.nl>

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Package feedeR updated to version 0.0.7 with previous version 0.0.4 dated 2016-08-14

Title: Read RSS/Atom Feeds from R
Description: Retrieve data from RSS/Atom feeds.
Author: Andrew Collier [aut, cre]
Maintainer: Andrew Collier <andrew@exegetic.biz>

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Package enpls updated to version 5.0 with previous version 4.5 dated 2016-09-15

Title: Ensemble Partial Least Squares Regression
Description: An algorithmic framework for measuring feature importance, outlier detection, model applicability domain evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.
Author: Nan Xiao <me@nanx.me>, Dong-Sheng Cao, Miao-Zhu Li <miaozhu.li@duke.edu>, Qing-Song Xu <qsxu@csu.edu.cn>
Maintainer: Nan Xiao <me@nanx.me>

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Package scrypt updated to version 0.1.1 with previous version 0.1.0 dated 2014-02-25

Title: scrypt key derivation functions for R
Description: scrypt is an R package for working with scrypt. Scrypt is a password-based key derivation function created by Colin Percival. The algorithm was specifically designed to make it costly to perform large-scale custom hardware attacks by requiring large amounts of memory.
Author: RStudio, Inc.; Colin Percival
Maintainer: ORPHANED

Diff between scrypt versions 0.1.0 dated 2014-02-25 and 0.1.1 dated 2016-10-25

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Package VarfromPDB updated to version 2.1.10 with previous version 2.1.9 dated 2016-08-20

Title: Capture the Genes and Variants Related to a Genetic Disease from Public Databases and PubMed
Description: Captures and compiles the genes and variants related to a disease, a phenotype or a clinical feature based on the public databases including HPO (Human Phenotype Ontology, <http://human-phenotype-ontology.github.io/about.html>), Orphanet <http://www.orpha.net/consor/cgi-bin/index.php>, OMIM (Online Mendelian Inheritance in Man, <http://www.omim.org>), ClinVar <http://www.ncbi.nlm.nih.gov/clinvar>, and UniProt (Universal Protein Resource, <http://www.uniprot.org>) and PubMed abstracts. HPO provides a standardized vocabulary of phenotypic abnormalities encountered in human disease. HPO currently contains approximately 11,000 terms and over 115,000 annotations to hereditary diseases. Orphanet is the reference portal for information on rare diseases and orphan drugs, whose aim is to help improve the diagnosis, care and treatment of patients with rare diseases. OMIM is a continuously updated catalog of human genes and genetic disorders and traits, with particular focus on the molecular relationship between genetic variation and phenotypic expression. ClinVar is a freely accessible, public archive of reports of the relationships among human variations and phenotypes, with supporting evidence. UniProt focuses on amino acid altering variants imported from Ensembl Variation databases. For Homo sapiens, the variants including human polymorphisms and disease mutations in the UniProt are manually curated from UniProtKB/Swiss-Prot. Additionally, PubMed provides the primary and latest source of the information. Text mining was employed to capture the information from PubMed abstracts.
Author: Zongfu Cao
Maintainer: Zongfu Cao <caozongfu@gmail.com>

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Package sns updated to version 1.1.2 with previous version 1.1.1 dated 2016-09-08

Title: Stochastic Newton Sampler (SNS)
Description: Stochastic Newton Sampler (SNS) is a Metropolis-Hastings-based, Markov Chain Monte Carlo sampler for twice differentiable, log-concave probability density functions (PDFs) where the proposal density function is a multivariate Gaussian resulting from a second-order Taylor-series expansion of log-density around the current point. The mean of the Gaussian proposal is the full Newton-Raphson step from the current point. A Boolean flag allows for switching from SNS to Newton-Raphson optimization (by choosing the mean of proposal function as next point). This can be used during burn-in to get close to the mode of the PDF (which is unique due to concavity). For high-dimensional densities, mixing can be improved via 'state space partitioning' strategy, in which SNS is applied to disjoint subsets of state space, wrapped in a Gibbs cycle. Numerical differentiation is available when analytical expressions for gradient and Hessian are not available. Facilities for validation and numerical differentiation of log-density are provided.
Author: Alireza S. Mahani, Asad Hasan, Marshall Jiang, Mansour T.A. Sharabiani
Maintainer: Alireza Mahani <alireza.s.mahani@gmail.com>

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Package qfasar updated to version 1.1.0 with previous version 1.0.0 dated 2016-08-25

Title: Quantitative Fatty Acid Signature Analysis in R
Description: An implementation of Quantitative Fatty Acid Signature Analysis (QFASA) in R. QFASA is a method of estimating the diet composition of predators. The fundamental unit of information in QFASA is a fatty acid signature (signature), which is a vector of proportions describing the composition of fatty acids within lipids. Signature data from at least one predator and from samples of all potential prey types are required. Calibration coefficients, which adjust for the differential metabolism of individual fatty acids by predators, are also required. Given those data inputs, a predator signature is modeled as a mixture of prey signatures and its diet estimate is obtained as the mixture that minimizes a measure of distance between the observed and modeled signatures. A variety of estimation options and simulation capabilities are implemented. Please refer to the vignette for additional details and references.
Author: Jeffrey F. Bromaghin [aut, cre]
Maintainer: Jeffrey F. Bromaghin <jbromaghin@usgs.gov>

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New package mockery with initial version 0.2.0
Package: mockery
Version: 0.2.0
Title: Mocking Library for R
Description: The two main functionalities of this package are creating mock objects (functions) and selectively intercepting calls to a given function that originate in some other function. It can be used with any testing framework available for R. Mock objects can be injected with either this package's own stub() function or a similar with_mock() facility present in the testthat package.
Authors@R: c( person("Noam", "Finkelstein", role = c("aut", "cre"), email = "noam.finkelstein@jhu.edu"), person("Lukasz", "Bartnik", rol = c("aut"), email = "l.bartnik@gmail.com") )
URL: https://github.com/n-s-f/mockery
BugReports: https://github.com/n-s-f/mockery/issues
Imports: testthat, utils
Suggests: knitr, rmarkdown (>= 1.0)
License: MIT + file LICENSE
Collate: 'expect_called.R' 'expectations.R' 'function_source_utils.R' 'mockery.R' 'mock-object.R' 'stub.R'
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-10-25 00:03:35 UTC; lukaszb
Author: Noam Finkelstein [aut, cre], Lukasz Bartnik [aut]
Maintainer: Noam Finkelstein <noam.finkelstein@jhu.edu>
Repository: CRAN
Date/Publication: 2016-10-25 10:30:48

More information about mockery at CRAN
Permanent link

Package lawn updated to version 0.3.0 with previous version 0.1.7 dated 2016-05-03

Title: Client for 'Turfjs' for 'Geospatial' Analysis
Description: Client for 'Turfjs' (<http://turfjs.org>) for 'geospatial' analysis. The package revolves around using 'GeoJSON' data. Functions are included for creating 'GeoJSON' data objects, measuring aspects of 'GeoJSON', and combining, transforming, and creating random 'GeoJSON' data objects.
Author: Scott Chamberlain [aut, cre], Jeff Hollister [aut], Morgan Herlocker [cph]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package hamlet updated to version 0.9.5 with previous version 0.9.4-2 dated 2015-10-15

Title: Hierarchical Optimal Matching and Machine Learning Toolbox
Description: Various functions and algorithms are provided here for solving optimal matching tasks in the context of preclinical cancer studies. Further, various helper and plotting functions are provided for unsupervised and supervised machine learning as well as longitudinal mixed-effects modeling of tumor growth response patterns.
Author: Teemu Daniel Laajala <teelaa@utu.fi>
Maintainer: Teemu Daniel Laajala <teelaa@utu.fi>

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Package yarrr updated to version 0.1.2 with previous version 0.1.1 dated 2016-10-16

Title: A Companion to the e-Book "YaRrr!: The Pirate's Guide to R"
Description: Contains a mixture of functions and data sets referred to in the introductory e-book "YaRrr!: The Pirate's Guide to R". The latest version of the e-book is available for free at <https://www.thepiratesguidetor.com>.
Author: Nathaniel Phillips [aut, cre]
Maintainer: Nathaniel Phillips <yarrr.book@gmail.com>

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