c(person(given = "David", family = "Springate", role = "aut",
email = "daspringate@gmail.com"),
person(given = "Rosa", family = "Parisi", role = c("aut","cre"),
email = "rosa.parisi@manchester.ac.uk"),
person(given = "Evangelos", family = "Kontopantelis", role = c("ctb"),
email = "E.Kontopantelis@manchester.ac.uk"),
person(given = "Ivan", family = "Olier", role = c("ctb"),
email = "i.olier@keele.ac.uk"))
Manipulating and Analysing Electronic Health Record Data
Tools for processing and extracting clinical information from
Electronic Medical Records Databases.
R (>= 3.0.2), sqldf, RSQLite, methods, utils, dplyr
assertthat, stringr, foreign, parallel, readstata13, combinat,
xlsx
testthat, devtools, roxygen2, knitr, reshape2, survival
David Springate [aut],
Rosa Parisi [aut, cre],
Evangelos Kontopantelis [ctb],
Ivan Olier [ctb]

Extensible Markov Model (EMM) for Data Stream Clustering in R
The Extensible Markov Model (EMM) adds a temporal
component to data stream clustering by superimposing a
dynamically adapting Markov Chain. This package implements EMM
on top of threshold NN, a simple clustering algorithm for data
streams.
R (>= 2.7.0), methods, stats, graph, proxy, cluster, MASS,
clusterGeneration

The Extensible Markov Model (EMM) adds a temporal
component to data stream clustering by superimposing a
dynamically adapting Markov Chain. This package implements EMM
on top of threshold NN, a simple clustering algorithm for data
streams. Development of this package was supported in part by
NSF IIS-0948893.
R (>= 2.7.0), methods, stats, proxy, cluster, MASS,
clusterGeneration

Extensible Markov Model for Modelling Temporal Relationships
Between Clusters
c(person("Michael", "Hahsler", role = c("aut", "cre", "cph"),
email = "mhahsler@lyle.smu.edu"),
person("Margaret H.", "Dunham", role = c("aut", "cph")))
Implements TRACDS (Temporal Relationships
between Clusters for Data Streams), a generalization of
Extensible Markov Model (EMM). TRACDS adds a temporal or order model
to data stream clustering by superimposing a dynamically adapting
Markov Chain. Also provides an implementation of EMM (TRACDS on top of tNN
data stream clustering). Development of this
package was supported in part by NSF IIS-0948893 and R21HG005912 from
the National Human Genome Research Institute.
methods, stats, clusterGeneration, MASS, utils
Michael Hahsler [aut, cre, cph],
Margaret H. Dunham [aut, cph]