Published on *OpenMx* (http://openmx.psyc.virginia.edu)

By *mspiegel*

Created *05/04/2010 - 11:06*

Tue, 05/04/2010 - 11:06 — mspiegel [1]

Currently the svn repository has an implementation of likelihood-based confidence intervals. For the moment, the interface looks like the following:

` model <- mxModel(model, mxNormalInterval(c('A', 'C[,]', 'E[1,1]'), 0.95, 0.95))`

The first argument to mxNormalInterval() is a vector of strings. These could be either matrix/algebra names or free parameter names. The second argument is the lower confidence level, and the third argument is the upper confidence level.

Is this a reasonable interface? Is there a need for asymmetric confidence levels in this interface? Should the confidence levels be expressed in units of 0-100 instead of 0-1?

The full example is present here [2].

**Links:**

[1] http://openmx.psyc.virginia.edu/users/mspiegel

[2] http://openmx.psyc.virginia.edu/repoview/1/trunk/models/passing/SimpleConfidenceIntervals.R

[3] http://openmx.psyc.virginia.edu/thread/605

[4] http://openmx.psyc.virginia.edu/thread/474

[5] http://openmx.psyc.virginia.edu/forums/openmx-developer-forums/new-feature-proposals