Thu, 24 Jan 2019

New package ri2 with initial version 0.1.2
Package: ri2
Type: Package
Title: Randomization Inference for Randomized Experiments
Version: 0.1.2
Authors@R: person("Alexander", "Coppock", email = "acoppock@gmail.com", role = c("aut", "cre"))
Description: Randomization inference procedures for simple and complex randomized designs, including multi-armed trials, as described in Gerber and Green (2012, ISBN: 978-0393979954). Users formally describe their randomization procedure and test statistic. The randomization distribution of the test statistic under some null hypothesis is efficiently simulated.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: generics, ggplot2, pbapply
Depends: randomizr (>= 0.16.0), estimatr
Suggests: testthat, knitr, rmarkdown, ri
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-01-24 18:25:12 UTC; ac2595
Author: Alexander Coppock [aut, cre]
Maintainer: Alexander Coppock <acoppock@gmail.com>
Repository: CRAN
Date/Publication: 2019-01-24 22:00:03 UTC

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Package rgenoud updated to version 5.8-3.0 with previous version 5.8-2.0 dated 2018-05-06

Title: R Version of GENetic Optimization Using Derivatives
Description: A genetic algorithm plus derivative optimizer.
Author: Walter R. Mebane, Jr. <wmebane@umich.edu>, Jasjeet Singh Sekhon <sekhon@berkeley.edu>
Maintainer: Jasjeet Singh Sekhon <sekhon@berkeley.edu>

Diff between rgenoud versions 5.8-2.0 dated 2018-05-06 and 5.8-3.0 dated 2019-01-24

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New package rdhs with initial version 0.6.1
Package: rdhs
Type: Package
Title: API Client and Dataset Management for the Demographic and Health Survey (DHS) Data
Version: 0.6.1
Authors@R: c(person(given = "OJ", family = "Watson", role = c("aut", "cre"), email = "oj.watson@hotmail.co.uk", comment = c(ORCID = "0000-0003-2374-0741")), person(given = "Jeff", family = "Eaton", role = "aut", comment = c(ORCID = "0000-0001-7728-728X")), person(given = "Lucy", family = "D'Agostino McGowan", role = "rev", comment = c(ORCID = "0000-0001-7297-9359")), person(given = "Duncan", family = "Gillespie", role = "rev"))
Maintainer: OJ Watson <oj.watson@hotmail.co.uk>
URL: https://ropensci.github.io/rdhs/
BugReports: https://github.com/ropensci/rdhs/issues
Description: Provides a client for (1) querying the DHS API for survey indicators and metadata (<https://api.dhsprogram.com/#/index.html>), (2) identifying surveys and datasets for analysis, (3) downloading survey datasets from the DHS website, (4) loading datasets and associate metadata into R, and (5) extracting variables and combining datasets for pooled analysis.
LazyData: TRUE
Depends: R (>= 3.3.0)
Imports: R6, httr, jsonlite, foreign, magrittr, rappdirs, digest, storr, xml2, qdapRegex, rgdal, getPass, haven, iotools
Suggests: testthat, knitr, rmarkdown, ggplot2, survey, data.table, microbenchmark
License: MIT + file LICENSE
RoxygenNote: 6.1.1
VignetteBuilder: knitr
Language: en-GB
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-01-24 18:14:20 UTC; oj
Author: OJ Watson [aut, cre] (<https://orcid.org/0000-0003-2374-0741>), Jeff Eaton [aut] (<https://orcid.org/0000-0001-7728-728X>), Lucy D'Agostino McGowan [rev] (<https://orcid.org/0000-0001-7297-9359>), Duncan Gillespie [rev]
Repository: CRAN
Date/Publication: 2019-01-24 22:00:07 UTC

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Package intccr updated to version 1.1.0 with previous version 1.0.5 dated 2019-01-16

Title: Semiparametric Competing Risks Regression under Interval Censoring
Description: Semiparametric regression models on the cumulative incidence function with interval-censored competing risks data as described in Bakoyannis, Yu, & Yiannoutsos (2017) <doi:10.1002/sim.7350>. The main function fits the proportional subdistribution hazards model (Fine-Gray model), the proportional odds model, and other models that belong to the class of semiparametric generalized odds rate transformation models.
Author: Giorgos Bakoyannis <gbakogia@iu.edu>, Jun Park <jp84@iu.edu>
Maintainer: Jun Park <jp84@iu.edu>

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Package googledrive updated to version 0.1.3 with previous version 0.1.2 dated 2018-10-06

Title: An Interface to Google Drive
Description: Manage Google Drive files from R.
Author: Lucy D'Agostino McGowan [aut], Jennifer Bryan [aut, cre] (<https://orcid.org/0000-0002-6983-2759>), RStudio [cph, fnd]
Maintainer: Jennifer Bryan <jenny@rstudio.com>

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Package Data2LD updated to version 2.0.0 with previous version 1.1.0 dated 2018-07-04

Title: Functional Data Analysis with Linear Differential Equations
Description: Provides methods for using differential equations as modelling objects as described in J. Ramsay G. and Hooker (2017,ISBN 978-1-4939-7188-6) Dynamic Data Analysis, New York: Springer. Data sets and script files for analyzing many of the examples in this book are included. This version corrects bugs and adds a new demo, CruiseControl. 'Matlab' versions of the code and sample analyses are available by ftp from <http://www.psych.mcgill.ca/misc/fda/downloads/Data2LD/>. There you find a set of .zip files containing the functions and sample analyses, as well as two .txt files giving instructions for installation and some additional information.
Author: James Ramsay [aut, cre]
Maintainer: James Ramsay <James.Ramsay@mcgill.ca>

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Package HARModel updated to version 0.2 with previous version 0.1 dated 2018-10-12

Title: Heterogeneous Autoregressive Models
Description: Estimation, simulation, and forecasting using the HAR model from Corsi(2009) <DOI:10.1093/jjfinec/nbp001> and extensions.
Author: Emil Sjoerup
Maintainer: Emil Sjoerup <emilsjoerup@live.dk>

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Package ROI.plugin.nloptr updated to version 0.3-3 with previous version 0.3-1 dated 2018-10-01

Title: 'nloptr' Plug-in for the 'R' Optimization Infrastructure
Description: Enhances the R Optimization Infrastructure ('ROI') package with the 'NLopt' solver for solving nonlinear optimization problems.
Author: Florian Schwendinger [aut, cre]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

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Package osrm updated to version 3.2.0 with previous version 3.1.1 dated 2018-03-12

Title: Interface Between R and the OpenStreetMap-Based Routing Service OSRM
Description: An interface between R and the OSRM API. OSRM is a routing service based on OpenStreetMap data. See <http://project-osrm.org/> for more information. This package allows to compute distances (travel time and kilometric distance) between points and travel time matrices.
Author: Timothée Giraud [cre, aut], Robin Cura [ctb], Matthieu Viry [ctb]
Maintainer: Timothée Giraud <timothee.giraud@cnrs.fr>

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Package qgraph updated to version 1.6 with previous version 1.5 dated 2018-04-25

Title: Graph Plotting Methods, Psychometric Data Visualization and Graphical Model Estimation
Description: Weighted network visualization and analysis, as well as Gaussian graphical model computation. See Epskamp et al. (2012) <doi:10.18637/jss.v048.i04>.
Author: Sacha Epskamp [aut, cre], Giulio Costantini [aut], Jonas Haslbeck [aut], Angelique O. J. Cramer [ctb], Lourens J. Waldorp [ctb], Verena D. Schmittmann [ctb], Denny Borsboom [ctb]
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

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Package clubSandwich updated to version 0.3.3 with previous version 0.3.2 dated 2018-05-21

Title: Cluster-Robust (Sandwich) Variance Estimators with Small-Sample Corrections
Description: Provides several cluster-robust variance estimators (i.e., sandwich estimators) for ordinary and weighted least squares linear regression models, including the bias-reduced linearization estimator introduced by Bell and McCaffrey (2002) <http://www.statcan.gc.ca/pub/12-001-x/2002002/article/9058-eng.pdf> and developed further by Pustejovsky and Tipton (2017) <DOI:10.1080/07350015.2016.1247004>. The package includes functions for estimating the variance- covariance matrix and for testing single- and multiple- contrast hypotheses based on Wald test statistics. Tests of single regression coefficients use Satterthwaite or saddle-point corrections. Tests of multiple- contrast hypotheses use an approximation to Hotelling's T-squared distribution. Methods are provided for a variety of fitted models, including lm() and mlm objects, glm(), ivreg (from package 'AER'), plm() (from package 'plm'), gls() and lme() (from 'nlme'), robu() (from 'robumeta'), and rma.uni() and rma.mv() (from 'metafor').
Author: James Pustejovsky [aut, cre]
Maintainer: James Pustejovsky <jepusto@gmail.com>

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Package ranger updated to version 0.11.1 with previous version 0.11.0 dated 2019-01-21

Title: A Fast Implementation of Random Forests
Description: A fast implementation of Random Forests, particularly suited for high dimensional data. Ensembles of classification, regression, survival and probability prediction trees are supported. Data from genome-wide association studies can be analyzed efficiently. In addition to data frames, datasets of class 'gwaa.data' (R package 'GenABEL') and 'dgCMatrix' (R package 'Matrix') can be directly analyzed.
Author: Marvin N. Wright [aut, cre], Stefan Wager [ctb], Philipp Probst [ctb]
Maintainer: Marvin N. Wright <cran@wrig.de>

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Package mlVAR updated to version 0.4.2 with previous version 0.4.1 dated 2018-08-26

Title: Multi-Level Vector Autoregression
Description: Estimates the multi-level vector autoregression model on time-series data. Three network structures are obtained: temporal networks, contemporaneous networks and between-subjects networks.
Author: Sacha Epskamp, Marie K. Deserno and Laura F. Bringmann
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

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Package lulcc updated to version 1.0.3 with previous version 1.0.2 dated 2017-03-27

Title: Land Use Change Modelling in R
Description: Classes and methods for spatially explicit land use change modelling in R.
Author: Simon Moulds <sim.moulds@gmail.com>
Maintainer: Simon Moulds <sim.moulds@gmail.com>

Diff between lulcc versions 1.0.2 dated 2017-03-27 and 1.0.3 dated 2019-01-24

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Package eurostat updated to version 3.3.1.2 with previous version 3.3.1.1 dated 2019-01-23

Title: Tools for Eurostat Open Data
Description: Tools to download data from the Eurostat database <http://ec.europa.eu/eurostat> together with search and manipulation utilities.
Author: Leo Lahti [aut, cre], Janne Huovari [aut], Markus Kainu [aut], Przemyslaw Biecek [aut], Joona Lehtomaki [ctb], Francois Briatte [ctb], Oliver Reiter [ctb]
Maintainer: ORPHANED

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Package bootnet updated to version 1.2 with previous version 1.1.0 dated 2018-07-27

Title: Bootstrap Methods for Various Network Estimation Routines
Description: Bootstrap methods to assess accuracy and stability of estimated network structures and centrality indices. Allows for flexible specification of any undirected network estimation procedure in R, and offers default sets for 'qgraph', 'IsingFit', 'IsingSampler', 'glasso', 'huge' and 'parcor' packages.
Author: Sacha Epskamp [aut, cre], Eiko I. Fried [ctb]
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

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Package qgam updated to version 1.2.3 with previous version 1.2.2 dated 2018-05-28

Title: Smooth Additive Quantile Regression Models
Description: Smooth additive quantile regression models, fitted using the methods of Fasiolo et al. (2017) <arXiv:1707.03307>. Differently from 'quantreg', the smoothing parameters are estimated automatically by marginal loss minimization, while the regression coefficients are estimated using either PIRLS or Newton algorithm. The learning rate is determined so that the Bayesian credible intervals of the estimated effects have approximately the correct coverage. The main function is qgam() which is similar to gam() in 'mgcv', but fits non-parametric quantile regression models.
Author: Matteo Fasiolo [aut, cre], Simon N. Wood [ctb], Yannig Goude [ctb], Raphael Nedellec [ctb]
Maintainer: Matteo Fasiolo <matteo.fasiolo@gmail.com>

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Package ordinalForest updated to version 2.3 with previous version 2.2 dated 2018-07-16

Title: Ordinal Forests: Prediction and Variable Ranking with Ordinal Target Variables
Description: The ordinal forest (OF) method allows ordinal regression with high-dimensional and low-dimensional data. After having constructed an OF prediction rule using a training dataset, it can be used to predict the values of the ordinal target variable for new observations. Moreover, by means of the (permutation-based) variable importance measure of OF, it is also possible to rank the covariates with respect to their importances in the prediction of the values of the ordinal target variable. OF is presented in Hornung (2019). The main functions of the package are: ordfor() (construction of OF) and predict.ordfor() (prediction of the target variable values of new observations). References: Hornung R. (2019) Ordinal Forests. Journal of Classification, <doi:10.1007/s00357-018-9302-x>.
Author: Roman Hornung
Maintainer: Roman Hornung <hornung@ibe.med.uni-muenchen.de>

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Package DriftBurstHypothesis updated to version 0.1.1 with previous version 0.1 dated 2019-01-02

Title: Calculates the Test-Statistic for the Drift Burst Hypothesis
Description: Calculates the T-Statistic for the drift burst hypothesis from the working paper Christensen, Oomen and Reno (2018) <DOI:10.2139/ssrn.2842535>. The authors' MATLAB code is available upon request, see: <https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2842535>.
Author: Emil Sjoerup
Maintainer: Emil Sjoerup <emilsjoerup@live.dk>

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Package cdcfluview updated to version 0.9.0 with previous version 0.7.0 dated 2017-11-14

Title: Retrieve Flu Season Data from the United States Centers for Disease Control and Prevention ('CDC') 'FluView' Portal
Description: The 'U.S.' Centers for Disease Control and Prevention (CDC) maintain a portal <http://gis.cdc.gov/grasp/fluview/fluportaldashboard.html> for accessing state, regional and national influenza statistics as well as mortality surveillance data. The web interface makes it difficult and time-consuming to select and retrieve influenza data. Tools are provided to access the data provided by the portal's underlying 'API'.
Author: Bob Rudis [aut, cre] (<https://orcid.org/0000-0001-5670-2640>), Craig McGowan [ctb] (<https://orcid.org/0000-0002-6298-0185>), JJ Chen [ctb] (<https://orcid.org/0000-0001-8482-8398>), Sebastian Meyer [ctb] (<https://orcid.org/0000-0002-1791-9449>), James Turtle [ctb] (<https://orcid.org/0000-0003-0735-7769>)
Maintainer: Bob Rudis <bob@rud.is>

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Package RNeXML updated to version 2.3.0 with previous version 2.2.0 dated 2018-11-01

Title: Semantically Rich I/O for the 'NeXML' Format
Description: Provides access to phyloinformatic data in 'NeXML' format. The package should add new functionality to R such as the possibility to manipulate 'NeXML' objects in more various and refined way and compatibility with 'ape' objects.
Author: Carl Boettiger [cre, aut] (<https://orcid.org/0000-0002-1642-628X>), Scott Chamberlain [aut] (<https://orcid.org/0000-0003-1444-9135>), Hilmar Lapp [aut] (<https://orcid.org/0000-0001-9107-0714>), Kseniia Shumelchyk [aut], Rutger Vos [aut] (<https://orcid.org/0000-0001-9254-7318>)
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package iNEXT updated to version 2.0.19 with previous version 2.0.18 dated 2018-12-15

Title: Interpolation and Extrapolation for Species Diversity
Description: Provides simple functions to compute and plot two types (sample-size- and coverage-based) rarefaction and extrapolation of species diversity (Hill numbers) for individual-based (abundance) data or sampling-unit- based (incidence) data.
Author: T. C. Hsieh, K. H. Ma and Anne Chao
Maintainer: T. C. Hsieh <euler96@gmail.com>

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Package BNSL updated to version 0.1.4 with previous version 0.1.3 dated 2017-09-18

Title: Bayesian Network Structure Learning
Description: From a given data frame, this package learns its Bayesian network structure based on a selected score.
Author: Joe Suzuki and Jun Kawahara
Maintainer: Joe Suzuki <j-suzuki@sigmath.es.osaka-u.ac.jp>

Diff between BNSL versions 0.1.3 dated 2017-09-18 and 0.1.4 dated 2019-01-24

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More information about BNSL at CRAN
Permanent link

Package boostSeq (with last version 1.0) was removed from CRAN

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

2012-08-11 1.0

Permanent link
Package Sleuth2 updated to version 2.0-5 with previous version 2.0-4.1 dated 2019-01-23

Title: Data Sets from Ramsey and Schafer's "Statistical Sleuth (2nd Ed)"
Description: Data sets from Ramsey, F.L. and Schafer, D.W. (2002), "The Statistical Sleuth: A Course in Methods of Data Analysis (2nd ed)", Duxbury.
Author: Original by F.L. Ramsey and D.W. Schafer; modifications by Daniel W. Schafer, Jeannie Sifneos and Berwin A. Turlach; vignettes contributed by Nicholas Horton, Kate Aloisio and Ruobing Zhang, with corrections by Randall Pruim
Maintainer: Berwin A Turlach <Berwin.Turlach@gmail.com>

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Package ROI.plugin.deoptim updated to version 0.3-2 with previous version 0.3-0 dated 2017-10-23

Title: 'DEoptim' and 'DEoptimR' Plugin for the 'R' Optimization Interface
Description: Enhances the R Optimization Infrastructure ('ROI') package with the 'DEoptim' and 'DEoptimR' package. 'DEoptim' is used for unconstrained optimization and 'DEoptimR' for constrained optimization.
Author: Florian Schwendinger [aut, cre]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

Diff between ROI.plugin.deoptim versions 0.3-0 dated 2017-10-23 and 0.3-2 dated 2019-01-24

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Package lorentz updated to version 1.0-1 with previous version 1.0-0 dated 2018-10-08

Title: The Lorentz Transform in Relativistic Physics
Description: This package furnishes functionality to work with Lorentz transforms in special relativity. It also implements the gyrogroup structure of three-velocities following Ungar (2006) <doi:10.1088/0143-0807/27/3/L02>. For general relativity, see the 'schwarzschild' package.
Author: Robin K. S. Hankin
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package cIRT updated to version 1.3.0 with previous version 1.2.1 dated 2017-04-26

Title: Choice Item Response Theory
Description: Jointly model the accuracy of cognitive responses and item choices within a bayesian hierarchical framework as described by Culpepper and Balamuta (2015) <doi:10.1007/s11336-015-9484-7>. In addition, the package contains the datasets used within the analysis of the paper.
Author: Steven Andrew Culpepper [aut, cph] (<https://orcid.org/0000-0003-4226-6176>), James Joseph Balamuta [aut, cph, cre] (<https://orcid.org/0000-0003-2826-8458>)
Maintainer: James Joseph Balamuta <balamut2@illinois.edu>

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Package MScombine updated to version 1.3 with previous version 1.2 dated 2018-12-20

Title: Combine Data from Positive and Negative Ionization Mode Finding Common Entities
Description: Find common entities detected in both positive and negative ionization mode, delete this entity in the less sensible mode and combine both matrices.
Author: Monica Calderon-Santiago
Maintainer: Monica Calderon-Santiago <b42casam@uco.es>

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Package rabi updated to version 1.0.0 with previous version 0.1.0 dated 2017-10-18

Title: Generate Codes to Uniquely and Robustly Identify Individuals for Animal Behavior Studies
Description: Facilitates the design and generation of optimal color (or symbol) codes that can be used to mark and identify individual animals. These codes are made such that the IDs are robust to partial erasure: even if sections of the code are lost, the entire identity of the animal can be reconstructed. Thus, animal subjects are not confused and no ambiguity is introduced.
Author: Andrew Taylor Burchill [aut, cre], Theodore P. Pavlic [ctb]
Maintainer: Andrew Taylor Burchill <andrew.burchill@asu.edu>

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Package spongebob updated to version 0.2.0 with previous version 0.1 dated 2019-01-12

Title: Spongebob-Case Converter : spOngEboB-CASe CoNVertOR
Description: Convert character strings to Spongebob case. CoNVErt ChaRaCTer StRINgs TO spONGebOB caSE.
Author: Jay Qi [aut, cre]
Maintainer: Jay Qi <jayqi.opensource@gmail.com>

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Package spc4sts updated to version 0.4.0 with previous version 0.3.1 dated 2018-04-09

Title: Statistical Process Control for Stochastic Textured Surfaces
Description: Provides statistical process control tools for stochastic textured surfaces. The current version supports the following tools: (1) generic modeling of stochastic textured surfaces. (2) local defect monitoring and diagnostics in stochastic textured surfaces, which was proposed by Bui and Apley (2018a) <doi:10.1080/00401706.2017.1302362>. (3) global change monitoring in the nature of stochastic textured surfaces, which was proposed by Bui and Apley (2018b) <doi:10.1080/00224065.2018.1507559>. (4) computation of dissimilarity matrix of stochastic textured surface images.
Author: Anh Bui [aut, cre] and Daniel Apley [ths]
Maintainer: Anh Bui <atbui@u.northwestern.edu>

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Package mdsstat updated to version 0.2.2 with previous version 0.2.1 dated 2018-12-11

Title: Statistical Trending for Medical Devices Surveillance
Description: A collection of common statistical algorithms used in active surveillance of medical device events. Context includes post-market surveillance, pharmacovigilance, signal detection and trending, and regulatory reporting. Primary inputs are device-event time series. Outputs include trending results with the ability to run multiple algorithms at once. This package works well with the 'mds' package, but does not require it.
Author: Gary Chung [aut, cre], Stephane Bottine [ctb] ((derived code from 'SPRT' package)), Ismaïl Ahmed [ctb] ((derived code from 'PhViD' package)), John Ihrie [ctb] ((derived code from 'openEBGM' package))
Maintainer: Gary Chung <gchung05@gmail.com>

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