Quantification of Mitochondrial DNA Heteroplasmy
Allows the estimation and downstream statistical analysis of the mitochondrial DNA Heteroplasmy calculated from single-cell datasets <https://github.com/ScialdoneLab/MitoHEAR/tree/master>.
Biostrings, circlize, ComplexHeatmap, dynamicTreeCut,
GenomicRanges, ggplot2, gridExtra, IRanges, magrittr, mcclust,
rdist, reshape2, rlist, Rsamtools,
clustree, fmsb, gam, karyoploteR, knitr, plotly, regioneR,
rmarkdown, testthat

Gurtek Gill [aut], Peter Straka [aut, cre]
c(
person("Gurtek", "Gill", email = "rickygill01@gmail.com",
role = "aut"),
person("Peter", "Straka", email = "p.straka@unsw.edu.au",
role = c("aut", "cre")))
Provides probability density, distribution function,
quantile function and random variate generation for the Mittag-Leffler
distributions, and the Mittag-Leffler function. Based on the algorithm
by Garrappa, R. (2015) <doi:10.1137/140971191>.

Calculates Mittag-Leffler probabilities and the Mittag-Leffler
function, generates Mittag-Leffler random variables,
and fits the Mittag-Leffler distribution to data. Based on the algorithm
by Garrappa, R. (2015) <doi:10.1137/140971191>.

Gurtek Gill [aut],
Peter Straka [aut, cre]
Implements the Mittag-Leffler function, distribution,
random variate generation, and estimation. Based on the Laplace-Inversion
algorithm by Garrappa, R. (2015) <doi:10.1137/140971191>.
knitr, rmarkdown, testthat, animation, magrittr

Katharina Hees [aut],
Peter Straka [aut, cre],
Gurtek Gill [aut],
Roberto Garrappa [ctb]
c(
person("Katharina", "Hees", email = "heeskatharina@gmail.com",
role = "aut"),
person("Peter", "Straka", email = "straka.ps@gmail.com",
role = c("aut", "cre")),
person("Gurtek", "Gill",
role = "aut"),
person("Roberto", "Garrappa", email = "roberto.garrappa@uniba.it",
role = "ctb")
)

c(person("Serge", "Iovleff", role = c("aut","cre"), email =
"Serge.Iovleff@stkpp.org"))
Algorithms and methods for estimating parametric mixture models with missing data.
'global.R' 'MixAll.R' 'ClusterAlgo.R' 'ClusterInit.R'
'ClusterStrategy.R' 'ClusterModelNames.R' 'IClusterModel.R'
'ClusterCategorical.R' 'ClusterDiagGaussian.R' 'ClusterGamma.R'
'ClusterPoisson.R' 'ClusterHeterogeneous.R' 'ClusterPlot.R'
'missingValues.R'