Robust Estimation of Multivariate Location and Scatter in the
        Presence of Cellwise and Casewise Contamination and Missing Data.

R-interface to C++ implementation of the rank/score permutation based GSEA test (Subramanian et al 2005 <doi: 10.1073/pnas.0506580102>).

Mark your interesting genes on plot and support more parameters to handle your own gene set enrichment analysis plot.

Provides function to apply "Group sequential enrichment design incorporating subgroup selection" (GSED) method proposed by Magnusson and Turnbull (2013) <doi:10.1002/sim.5738>.

Using an approach based on similarity graph to estimate change-point(s) and the corresponding p-values.  Can be applied to any type of data (high-dimensional, non-Euclidean, etc.) as long as a reasonable similarity measure is available.

Genomic selection is a specialized form of marker assisted selection. The package contains functions to select important genetic markers and predict phenotype on the basis of fitted training data using integrated model framework (Guha Majumdar et. al. (2019) <doi:10.1089/cmb.2019.0223>) developed by combining one additive (sparse additive models by Ravikumar et. al. (2009) <doi:10.1111/j.1467-9868.2009.00718.x>) and one non-additive (hsic lasso by Yamada et. al. (2014) <doi:10.1162/NECO_a_00537>) model.

'R' version of 'G-Series', Statistics Canada's generalized system devoted
    to the benchmarking and reconciliation of time series data. The methods
    used in 'G-Series' essentially come from Dagum, E. B., and P. Cholette 
    (2006) <doi:10.1007/0-387-35439-5>.

Simple package to download Google Sheets using just the sharing
    link. Spreadsheets can be downloaded as a data frame, or as plain text to parse
    manually. Google Sheets is the new name for Google Docs Spreadsheets <https://www.google.com/sheets/about>.

R implementation of the 'Octave' package 'signal', containing
    a variety of signal processing tools, such as signal generation and
    measurement, correlation and convolution, filtering, filter design,
    filter analysis and conversion, power spectrum analysis, system
    identification, decimation and sample rate change, and windowing.