SparsifyM: Sparsify a dense Riemannian process

View source: R/Simulation.R

SparsifyMR Documentation

Sparsify a dense Riemannian process

Description

Sparsify a dense Riemannian process

Usage

SparsifyM(X, pts, sparsity)

Arguments

X

A three dimensional array such that X[i, j, t] = X_ij(t).

pts

A vector of grid points corresponding to the columns of samp.

sparsity

A vector of integers. The number of observation per sample is chosen to be one of the elements in sparsity with equal chance


CrossD/RFPCA documentation built on Aug. 24, 2023, 4:42 p.m.