compare.estimate.and.truth: Measuring model accuracy.
In dmt: Dependency Modeling Toolkit

Description Usage Arguments Details Value Note Author(s) References See Also Examples

Compare estimated parameters and the original parameters used to generate the toydata.

1	compare.estimate.and.truth(res, toy)

`res`	DependencyModel object.
`toy`	Toydata which was used to learn the model.

Given original data (including the original parameters) and model learned based on the data, compare the learned parameters to the original ones.

Vector with following elements

`wtw.x, wtw.y`	Correlation between the original and estimated values for W*t(W) for X and Y, respectively.
`phi.x, phi.y`	Correlation between the original and estimated values for phi for X and Y, respectively.

Additional tests added later.

Leo Lahti leo.lahti@iki.fi

See citation("dmt") for references.

generate.toydata

 
#toy <- generate.toydata(N = N, zDim = zdim, xDim = xdim, yDim = ydim, marginal.covariances = marginalCovariances, priors = priors)
#res <- fit.dependency.model(toy$X, toy$Y, zDimension = zdim,
#                      marginalCovariances = marginalCovariances,
#		      priors = priors, matched = FALSE)					  				  
#vec <- compare.estimate.and.truth(res, toy)
#