Multiple Break-Point Detection via the Cross-Entropy Method
Implements the cross-entropy (CE) method, which is a model based stochastic optimization technique to estimate both the number and their corresponding locations of break-points in biological sequences of continuous and discrete measurements as described in Priyadarshana and Sofronov (2014, 2012a, 2012b).
ggplot2, MASS, msm, foreach, doParallel, parallel

Implements the Cross-Entropy (CE) method, which is a model based stochastic optimization technique to estimate both the number and their corresponding locations of break-points in continuous and discrete measurements (Priyadarshana and Sofronov (2015), Priyadarshana and Sofronov (2012a), Priyadarshana and Sofronov (2012b)).

Core Functions to Read and Fit 13c Time Series from Breath Tests
c(
person("Dieter", "Menne", , "dieter.menne@menne-biomed.de", role = c("aut", "cre")),
person("Menne Biomed Consulting Tuebingen", role = c("cph")),
person("Benjamin","Misselwitz", , role = c("fnd")),
person("Mark", "Fox", , role = c("fnd")),
person("University Hospital of Zurich, Dep. Gastroenterology", role = c("fnd", "dtc"))
)
Reads several formats of 13C data (IRIS/Wagner, BreathID) and CSV.
Creates artificial sample data for testing.
Fits Maes/Ghoos, Bluck-Coward self-correcting formula using 'nls', 'nlme'.
See Bluck L J C and Coward W A 2006 <doi:10.1088/0967-3334/27/3/006>.
This package contains a refactored subset of github package
'dmenne/d13cbreath' without database and display functions. Methods to
fit breath test curves with Bayesian Stan methods are refactored to
github package 'dmenne/breathteststan'. For a Shiny GUI, see
package 'dmenne/breathtestshiny'.
nlme, MASS, stringr, dplyr, purrr, readr, tibble, methods,
assertthat, broom, tidyr, ggplot2, signal, utils
Dieter Menne [aut, cre],
Menne Biomed Consulting Tuebingen [cph],
Benjamin Misselwitz [fnd],
Mark Fox [fnd],
University Hospital of Zurich, Dep. Gastroenterology [fnd, dtc]

c(
person("Dieter", "Menne", , "dieter.menne@menne-biomed.de", role = c("aut", "cre")),
person("Menne Biomed Consulting Tuebingen", role = c("cph")),
person("Benjamin","Misselwitz", , role = c("fnd")),
person("Mark", "Fox", , role = c("fnd")),
person("Andreas", "Steingoetter", , role = c("dtc")),
person("University Hospital of Zurich, Dep. Gastroenterology", role = c("fnd", "dtc"))
)
Reads several formats of 13C data (IRIS/Wagner, BreathID) and CSV.
Creates artificial sample data for testing.
Fits Maes/Ghoos, Bluck-Coward self-correcting formula using 'nls', 'nlme'.
See Bluck L J C and Coward W A 2006 <doi:10.1088/0967-3334/27/3/006>.
Methods to
fit breath test curves with Bayesian Stan methods are refactored to
package 'breathteststan'. For a Shiny GUI, see
package 'dmenne/breathtestshiny', currently on github only.
nlme, MASS, stringr, dplyr, purrr, readr, tibble, methods,
readxl, assertthat, broom, tidyr, ggplot2, ggfittext, signal,
utils, multcomp, xml2
testthat, covr, knitr, survival, gridExtra
Dieter Menne [aut, cre],
Menne Biomed Consulting Tuebingen [cph],
Benjamin Misselwitz [fnd],
Mark Fox [fnd],
Andreas Steingoetter [dtc],
University Hospital of Zurich, Dep. Gastroenterology [fnd, dtc]