latentMultipleRegExample2


Data set used in some of OpenMx's examples.


datasets

Facilitates treatment of statistical model specifications as things
that can be generated and manipulated programmatically. Structural equation
models may be specified with reticular action model matrices or paths, linear
structural relations matrices or paths, or directly in matrix algebra. Fit
functions include full information maximum likelihood, maximum likelihood, and
weighted least squares. Example models include confirmatory factor, multiple
group, mixture distribution, categorical threshold, modern test theory,
differential equations, state space, and many others.

Joshua Pritikin

OpenMx

Extended Structural Equation Modelling

latentMultipleRegExample2 function

A data frame with 200 observations on the following variables.
  <dl>
    <dt><code>X1</code></dt><dd>Factor 1 indicator</dd> <dt><code>X2</code></dt><dd>Factor 1 indicator</dd> <dt><code>X3</code></dt><dd>Factor 1 indicator</dd> <dt><code>X4</code></dt><dd>Factor 1 indicator</dd> <dt><code>X5</code></dt><dd>Factor 2 indicator</dd> <dt><code>X6</code></dt><dd>Factor 2 indicator</dd> <dt><code>X7</code></dt><dd>Factor 2 indicator</dd> <dt><code>X8</code></dt><dd>Factor 2 indicator</dd> <dt><code>X9</code></dt><dd>Factor 3 indicator</dd> <dt><code>X10</code></dt><dd>Factor 3 indicator</dd> <dt><code>X11</code></dt><dd>Factor 3 indicator</dd> <dt><code>X12</code></dt><dd>Factor 3 indicator</dd> </dl> 

latentMultipleRegExample2: Example data for multiple regression among latent variables

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Examples