R: High-Dimensional Regression with Measurement Error

# High-Dimensional Regression with Measurement Error

## Documentation for package ‘hdme’ version 0.6.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

coef.corrected_lasso | Extract Coefficients of a Corrected Lasso object
coef.gds | Extract Coefficients of a Generalized Dantzig Selector Object
coef.gmus | Extract Coefficients of a GMUS object
coef.gmu_lasso | Extract Coefficients of a GMU Lasso object
corrected_lasso | Corrected Lasso
cv_corrected_lasso | Cross-validated Corrected lasso
cv_gds | Cross-Validated Generalized Dantzig Selector
gds | Generalized Dantzig Selector
gmus | Generalized Matrix Uncertainty Selector
gmu_lasso | Generalized Matrix Uncertainty Lasso
mus | Matrix Uncertainty Selector
plot.corrected_lasso | plot.corrected_lasso
plot.cv_corrected_lasso | plot.cv_corrected_lasso
plot.cv_gds | plot.cv_gds
plot.gds | Plot the estimates returned by gds
plot.gmus | Plot the estimates returned by gmus and mus
plot.gmu_lasso | Plot the estimates returned by gmu_lasso
print.corrected_lasso | Print a Corrected Lasso object
print.cv_corrected_lasso | Print a Cross-Validated Corrected Lasso object
print.cv_gds | Print a Cross-Validated GDS Object
print.gds | Print a Generalized Dantzig Selector Object
print.gmus | Print a GMUS object
print.gmu_lasso | Print a GMU Lasso object