Sparse High-Dimensional Linear Regression with PROBE

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Documentation for package ‘probe’ version 1.1

• DESCRIPTION file.

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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