coef.cv.ncpen           coef.cv.ncpen: extracts the optimal
                        coefficients from 'cv.ncpen'.
coef.ncpen              coef.ncpen: extract the coefficients from an
                        'ncpen' object
control.ncpen           control.ncpen: do preliminary works for
                        'ncpen'.
cv.ncpen                cv.ncpen: cross validation for 'ncpen'
cv.ncpen.reg            cv.ncpen: cross validation for 'ncpen'
excluded                Check whether a pair should be excluded from
                        interactions.
fold.cv.ncpen           fold.cv.ncpen: extracts fold ids for
                        'cv.ncpen'.
gic.ncpen               gic.ncpen: compute the generalized information
                        criterion (GIC) for the selection of lambda
interact.data           Construct Interaction Matrix
make.ncpen.data         Create ncpen Data Structure Using a Formula
native_cpp_ncpen_fun_   Native ncpen function.
native_cpp_nr_fun_      N/A.
native_cpp_obj_fun_     Native object function.
native_cpp_obj_grad_fun_
                        Native object gradient function.
native_cpp_obj_hess_fun_
                        Native object Hessian function.
native_cpp_p_ncpen_fun_
                        Native point ncpen function.
native_cpp_pen_fun_     Native Penalty function.
native_cpp_pen_grad_fun_
                        Native Penalty Gradient function.
native_cpp_qlasso_fun_
                        Native QLASSO function.
native_cpp_set_dev_mode_
                        N/A.
ncpen                   ncpen: nonconvex penalized estimation
ncpen-package           ncpen: A package for non-convex penalized
                        estimation for generalized linear models
ncpen.reg               ncpen.reg: nonconvex penalized estimation
plot.cv.ncpen           plot.cv.ncpen: plot cross-validation error
                        curve.
plot.ncpen              plot.ncpen: plots coefficients from an 'ncpen'
                        object.
power.data              Power Data
predict.ncpen           predict.ncpen: make predictions from an 'ncpen'
                        object
sam.gen.ncpen           sam.gen.ncpen: generate a simulated dataset.
same.base               Check whether column names are derivation of a
                        same base.
to.indicators           Construct Indicator Matrix
to.ncpen.x.mat          Convert a 'data.frame' to a 'ncpen' usable
                        'matrix'.
