coef.cv.ncpen | coef.cv.ncpen: extracts the optimal coefficients from... |
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... |
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_pen_fun_ | Native Penalty function. |
native_cpp_pen_grad_fun_ | Native Penalty Gradient function. |
native_cpp_p_ncpen_fun_ | Native point ncpen 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... |
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 |
same.base | Check whether column names are derivation of a same base. |
sam.gen.ncpen | sam.gen.ncpen: generate a simulated dataset. |
to.indicators | Construct Indicator Matrix |
to.ncpen.x.mat | Convert a 'data.frame' to a 'ncpen' usable 'matrix'. |
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