R: Fast and Robust Deconvolution of Tumor Infiltrating Lymphocyte from Expression Profiles using Least Trimmed Squares

# Fast and Robust Deconvolution of Tumor Infiltrating Lymphocyte from Expression Profiles using Least Trimmed Squares

## Documentation for package ‘FARDEEP’ version 1.0.1

- DESCRIPTION file

## Help Pages

alts | Using the basic idea of least trimmed square to detect and remove outliers before estimating the coefficients. Adaptive least trimmed square.
fardeep | Using the idea of least trimmed square to detect and remove outliers before estimating the coefficients. A robust method for gene-expression deconvolution.
LM22 | Siganature matrix
mixture | Gene-expression data from 14 follicular lymphoma patients
sample.sim | Generate random sample with different proportion of outliers and leverage points
tuningBIC | Tuning parameter k in function alts using Bayesian Information Criterion (BIC) with some adjustment.