msaenet.fn: Get the Number of False Negative Selections

In nanxstats/msaenet: Multi-Step Adaptive Estimation Methods for Sparse Regressions

Get the Number of False Negative Selections

Description

Get the number of false negative selections from msaenet model objects, given the indices of true variables (if known).

Usage

msaenet.fn(object, true.idx)

Arguments

object	An object of class msaenet produced by aenet, amnet, asnet, msaenet, msamnet, or msasnet.
true.idx	Vector. Indices of true variables.

Value

Number of false negative variables in the model.

Author(s)

Nan Xiao <https://nanx.me>

Examples

dat <- msaenet.sim.gaussian(
  n = 150, p = 500, rho = 0.6,
  coef = rep(1, 5), snr = 2, p.train = 0.7,
  seed = 1001
)

msaenet.fit <- msaenet(
  dat$x.tr, dat$y.tr,
  alphas = seq(0.2, 0.8, 0.2),
  nsteps = 3L, seed = 1003
)

msaenet.fn(msaenet.fit, 1:5)

nanxstats/msaenet documentation built on March 8, 2024, 9:37 p.m.