Imports: utils, stats, methods, graphics, grDevices, MASS, Rcpp
LinkingTo: Rcpp, RcppEigen, RcppProgress, BH, bigmemory

Imports: utils, stats, methods, graphics, grDevices, MASS, Rcpp,

Title: A Robust Missing Imputation Method for Gene Expression Data
Author: Md. Shahjaman and Md. Nurul Haque Mollah
Description: It was developed especially for gene expression and metabolomics data analysis when the datasets are corrupted by outliers and missing values. The beta-divergence method was used to impute the missing values and modify the outliers.

person("Shuxia", "Guo", email = "shuxia.guo@uni-jena.de", role = c("cre","aut")),
Description: A framework of cross-validation for spectral data analysis that allows for automatic tuning of model parameters and for model evaluation. It is particularly useful for applications where intra-group heterogeneity is significant due to inter individual differences. S. Guo, T. Bocklitz, U. Neugebauer, J.Popp (2017) <doi:10.1039/C7AY01363A>.

Description: Collection of functions to calculate performance metrics of mutual funds/exchange traded funds. This package aids investors in researching mutual funds/exchange traded funds for their investment decision. Also, this package contains tools to manage a portfolio of different mutual fund/exchange traded funds. For more information see Bruce J. Feibel [2003, ISBN:978-0471445630].
Imports: PerformanceAnalytics, quantmod, xts, stringr, rvest, xml2,
readr, purrr, tidyr, stringi, ggplot2, dplyr
Packaged: 2020-06-25 17:29:28 UTC; Kanhaiiya Agrawal

Title: Automate Mouse Clicks and Send Keyboard Input
Authors@R: person("Dejan", "Prvulovic", email = "dejan.prv@gmail.com", role = c("aut", "cre"))
Description: Provides wrapper functions to the Java Robot class to automate user input, like mouse movements, clicks and keyboard input.

Title: Robust Nonnegative Matrix Factorization
Description: An implementation of robust nonnegative matrix factorization (rNMF). The rNMF algorithm decomposes a nonnegative high dimension data matrix into the product of two low rank nonnegative matrices, while detecting and trimming outliers. The main function is rnmf(). The package also includes a visualization tool, see(), that arranges and prints vectorized images.
Author: Yifan Ethan Xu <ethan.yifanxu@gmail.com>, Jiayang Sun <jsun@case.edu>
Maintainer: Yifan Ethan Xu <ethan.yifanxu@gmail.com>