R: Robust Regression with Compositional Covariates

# Robust Regression with Compositional Covariates

## Documentation for package ‘robregcc’ version 1.1

- DESCRIPTION file

## Help Pages

classo | Estimate parameters of linear regression model with compositional covariates using method suggested by Pixu shi.
classo_path | Compute solution path of constrained lasso.
coef_cc | Extract coefficients estimate from the sparse version of the robregcc fitted object.
cpsc_sp | Principal sensitivity component analysis with compositional covariates in sparse setting.
plot_cv | Plot cross-validation error plot
plot_path | Plot solution path at different value of lambda
plot_resid | Plot residuals estimate from robregcc object
residuals | Extract residuals estimate from the sparse version of the robregcc fitted object.
residuals.robregcc | Extract residuals estimate from the sparse version of the robregcc fitted object.
robregcc_option | Control parameter for model estimation:
robregcc_sim | Simulation data
robregcc_sp | Robust model estimation approach for regression with compositional covariates.
simulate_robregcc | Simulated date for testing functions in the robregcc package (sparse setting).