Description: Quantifies hypothesis to data fit for repeated measures
and time series data, as described by Thorngate (1987)

and longitudinal data, as described by Thorngate (1987)

Authors@R: person("Timothy", "Beechey", email = "tim.beechey@proton.me",

Suggests: e1071, knitr, knitrBootstrap, rmarkdown
Description: Data integration Web application for biobanks by OBiBa. Opal is
OBiBa's core database application for biobanks. Participant data, once
data repository under a uniform model. Opal is such a central repository.
Opal is typically used in a research center to analyze the data acquired at
assessment centres. Its ultimate purpose is to achieve seamless

Title: 'Opal' Data Repository Client and 'DataSHIELD' Utils
Description: Data integration Web application for biobanks by 'OBiBa'. 'Opal' is
the core database application for biobanks. Participant data, once
'Opal' is typically used in a research center to analyze the data acquired at
data-sharing among biobanks. This 'Opal' client allows to interact with 'Opal'
web services and to perform operations on the R server side. 'DataSHIELD'

Suggests: e1071, knitr, knitrBootstrap, rmarkdown, tibble, testthat

Imports: jsonlite, mime, progress, labelled

Description: A reference implementation of standard optimal partitioning
algorithm in C using square-error loss and Poisson loss functions as described by
It scales quadratically with number of data points in terms of time-complexity.
Suggests: knitr, rmarkdown, testthat, dplyr, ggplot2, directlabels,
data.table, covr, neuroblastoma, microbenchmark, changepoint,
Packaged: 2019-09-03 20:10:02 UTC; AnuraagUS

Title: Optimal Distribution Preserving Down-Sampling of Bio-Medical
Author: Jorn Lotsch[aut,cre], Sebastian Malkusch[aut], Alfred Ultsch[aut]
Description: An optimized method for distribution-preserving class-proportional down-sampling of bio-medical data.
Imports: caTools, twosamples, pracma, parallel, pbmcapply, methods,

Imports: parallel, graphics, methods, stats, caTools, pracma,

twosamples, utils, benchmarkme, memuse, doParallel, foreach