ncpen-package |
ncpen: A package for non-convex penalized estimation for generalized linear models |
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_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.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'. |