Description: Provides numeric and graphical

Imports: GGally, cairoDevice (>= 2.23), grid, reshape
Suggests: Hmisc, norm, mice, mi (>= 1.0)

Description: A system for Analysis of LSD when there is one missing observation. Methods for this process is described in A.M.Gun,M.K.Gupta,B.Dasgupta(2019,ISBN:81-87567-81-3).

Description: A system for Analysis of RBD when there is one missing observation. Methods for this process is described in A.M.Gun,M.K.Gupta,B.Dasgupta(2019,ISBN:81-87567-81-3).

Title: Missing Plot Technique in Design of Experiment
Description: A system for testing differential effects among treatments in case of Randomised Block Design and Latin Square Design when there is one missing observation. Methods for this process are as described in A.M.Gun,M.K.Gupta and B.Dasgupta(2019,ISBN:81-87567-81-3).

Title: Mixture of Student t Distributions using Importance Sampling and
Description: Flexible multivariate function approximation using adapted
Mixture of Student t Distributions. Mixture of t distribution
is obtained using Importance Sampling weighted Expectation
Author: N. Basturk, L.F. Hoogerheide, A. Opschoor, H.K. van Dijk

Title: Quantification of Mitochondrial DNA Heteroplasmy
Description: Allows the estimation and downstream statistical analysis of the mitochondrial DNA Heteroplasmy calculated from single-cell datasets <https://github.com/ScialdoneLab/MitoHEAR/tree/master>.
Imports: Biostrings, circlize, ComplexHeatmap, dynamicTreeCut,
GenomicRanges, ggplot2, gridExtra, IRanges, magrittr, mcclust,
Suggests: clustree, fmsb, gam, karyoploteR, knitr, plotly, regioneR,
Packaged: 2022-02-28 13:04:23 UTC; gabriele.lubatti

Author: Gurtek Gill [aut], Peter Straka [aut, cre]
person("Gurtek", "Gill", email = "rickygill01@gmail.com",
Description: 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
Suggests: knitr, rmarkdown, testthat, animation

Description: 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