# Sparse High-Dimensional Linear Regression with PROBE

## Documentation for package ‘probe’ version 1.1

- DESCRIPTION file

## Help Pages

probe-package | probe: Sparse High-Dimensional Linear Regression with PROBE
e_step_func | Function for fitting the empirical Bayes portion of the E-step
m_step_regression | Function for fitting the initial part of the M-step
predict_probe_func | Obtaining predictions, confidence intervals and prediction intervals from probe
probe | Fitting PaRtitiOned empirical Bayes Ecm (PROBE) algorithm to sparse high-dimensional linear models.
probe_one | Fitting PaRtitiOned empirical Bayes Ecm (PROBE) algorithm to sparse high-dimensional linear models.
Sim_data | Simulated high-dimensional data set for sparse linear regression
Sim_data_cov | Simulated high-dimensional data set for sparse linear regression with non-sparse covariates.
Sim_data_test | Simulated high-dimensional test data set for sparse linear regression
_PACKAGE | probe: Sparse High-Dimensional Linear Regression with PROBE