md2s: md2s

In peterjbachman/md2s: Multi-Dataset Multidimensional Scaling

md2s

Description

Multi-Dataset Multidimensional Scaling

Usage

md2s(
  X,
  y,
  X.s = NULL,
  X.X = NULL,
  X.y = NULL,
  init = "svd",
  dim = 1,
  tol = 1e-06,
  BIC = FALSE
)

Arguments

X	First matrix of realized outcomes m = 1 for N observations and K_1 covariates; dimensions N \times K_1.
y	Second matrix of realized outcomes m = 2 for N observations and K_2 covariates; dimensions N \times K_1
X.s	Optional matrix of covariates for estimating scaled locations in the shared subspace.
X.X	Optional matrix of covariates for estimating scaled locations in the idiosyncratic subspace of X.
X.y	Optional matrix of covariates for estimating scaled locations in the idiosyncratic subspace of y.
init	INOPERABLE. Matrix initialization method.
dim	Number of dimensions to be estimated by the model (from most- to least-explanatory).
tol	Iteration tolerance threshold. Criteria for termination of iteration.
BIC	INOPERABLE. Bayesian Information Criterion.

Value

An object containing:

z	TODO
z.X	TODO
z.y	TODO
w.Xs	TODO
w.ys	TODO
beta.z	TODO
proportionX	TODO

Author(s)

Peter Bachman [e-mail], Patrick Edwards [e-mail], and Zion Little [e-mail]

See Also

md2sPermute()

Examples

## Not run: 
md2s()

## End(Not run)

peterjbachman/md2s documentation built on May 13, 2022, 8:14 p.m.