**Here are some of my personal favorites, which are freely available
on the Internet**

LEM can fit latent class models, survival models, and lisrel-type
models for categorical data. The author of the program is Jeroen K. Vermunt.

A manual is also available. This
software is used in my course: Seminar:
Selected topics in measurement theory.
Sample LEM programs for

mixture
and latent class signal detection
models are available in my 2002
MBR article and on my homepage.

*aML**—
aML is now free!*

aML allows one to fit multilevel multiprocess models typically
used in econometrics and biostatistics. It can be used
to fit multivariate signal

detection models with and without sample selection, as
well as mixture and latent class signal detection models. A
sample program for fitting

a multivariate signal detection model with sample selection
is given on my homepage.

Mixor can be used for ordinal logistic regression with random
effects; the author is Donald Hedeker. There is also software for regression,

poisson regression, and survival analysis with random effects, as well
as a list of publications involving use of the software.

Click on download and directions will follow.

WinBUGS performs **B**ayesian inference
**U**sing **G**ibbs **S**ampling,
and can fit many types of complex models. A users manual and relevant

references are provided. Lately I've been using the open version, **OpenBUGS**, some sample programs are given on my homepage.

*R*

R is an environment for statistical computing and graphics; it
is similar to the commercially available software S-PLUS.
It can be used for

many types of statistical analysis and, thanks to contributed packages, can
fit many types of advanced models.

**Next are commercially available software
that I like and also use in some** **of
my courses**

Latent Gold is software for latent class and mixture models, including models with continuous latent variables. **Version 4.5** includes

syntax that allows one to fit a wide variety of models, including the unequal variance SDT model, latent class SDT, mixture SDT,

multivariate SDT, and even multivariate models with sample selection. Examples can be found in many of my articles, I use this

software extensively in my research.

Mplus is software for structural equation modeling. A nice feature
is that it can also be used for latent class models, and
combined

structural equation/latent class models. Some sample programs
for using Mplus to fit latent class and mixture signal
detection models

can be found on my homepage
and on my presentations
page. This software is used in my course: Latent
Structure Analysis.

HLM is software for hierarchical linear and nonlinear modeling.
The latest version is very user friendly. This software
is used in my

course: Multilevel and
longitudinal data analysis, along with Mplus.

Stata is a general statistical package. It offers many types
of analysis and models, including many add-ons. One I find of particular interest

is GLLAMM, which is a Stata program to fit
generalized linear latent and mixed models. Note:
TC students, faculty, and staff can obtain

this software at a significant discount because the computing center at Columbia
has an arrangement with Stata to distribute the

software through their Gradplan program; for details click here.

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