RNetCDF, ncdf4, maps, fields, shiny, ppcor, pbmcapply,
pbapply, parallel, visNetwork, igraph

Contains miscellaneous functions useful for managing 'NetCDF' files (see <https://en.wikipedia.org/wiki/NetCDF>), get moon phase and time for sun rise and fall, tide level, analyse and reconstruct periodic time series of temperature with irregular sinusoidal pattern, show scales and wind rose in plot with change of color of text, Metropolis-Hastings algorithm for Bayesian MCMC analysis, plot graphs or boxplot with error bars, search files in disk by there names or their content, read the contents of all files from a folder at one time.

RNetCDF, ncdf4, maps, fields, shiny, ppcor, pbmcapply,
pbapply, parallel, visNetwork, igraph, shinyWidgets

RNetCDF, ncdf4, maps, fields, shiny, ppcor, pbmcapply,
pbapply, parallel, visNetwork, igraph, shinyWidgets, cranlogs

lme4, coda, R (>= 4.1), MASS, ggplot2, rlang
RNetCDF, ncdf4, maps, fields, shiny, ppcor, pbmcapply,
Matrix, pbapply, parallel, visNetwork, igraph, shinyWidgets,
cranlogs

R (>= 4.1), MASS, ggplot2, rlang, coda, Matrix
lme4, RNetCDF, ncdf4, maps, fields, shiny, ppcor, pbmcapply,
pbapply, parallel, visNetwork, igraph, shinyWidgets, cranlogs

Heritability of Gene Expression for Next-Generation Sequencing
W. Jenny Shi [aut, cre],
Pamela Russell [aut],
Pratyaydipta Rudra [aut, cre],
Brian Vestal [aut, cre],
Katerina Kechris [aut],
Laura Saba [aut]
Statistical framework to analyze heritability of gene expression
based on next-generation sequencing data and simulating sequencing reads.
Variance partition coefficients (VPC) are computed using linear mixed effects
and generalized linear mixed effects models. Compound Poisson and negative
binomial models are included.
cplm, DESeq2, lme4, pbapply, tweedie, MASS,
SummarizedExperiment

Statistical framework to analyze heritability of gene expression
based on next-generation sequencing data and simulating sequencing reads.
Variance partition coefficients (VPC) are computed using linear mixed effects
and generalized linear mixed effects models. Compound Poisson and negative
binomial models are included. Reference: Rudra, Pratyaydipta, et al. "Model based heritability scores for high-throughput sequencing data." BMC bioinformatics 18.1 (2017): 143.