Loglinear
Analysis MT
The Loglinear Analysis
MT
application module (LOGLIN) contains procedures for the analysis of
categorical
data using loglinear analysis. This application is thread-safe and
takes advantage of structures.
The estimation is
based on the assumption that the cells of the K-way table are
independent Poisson random variables. The parameters are found by
applying the Newton-Raphson method using an algorithm found in A.
Agresti (1984) Analysis of Ordinal Categorical Data.
You may construct
your own design matrix or use LOGLIN procedures to compute one for you.
You may also select the type of constraint and the parameters.
Features
- Fits a
hierarchical model given fit configurations
- Will fit
all 3-way hierarchical models of a table
- Provides
for cell weights
- LOGLIN
can estimate most of the models described in such texts as Y.M.M.
Bishop, S.E. Fienberg, and P.W. Holland (1975) Discrete Multivariate
Analysis, S. Haberman (1979) Analysis of Qualitative Data, Vols. 1 and
2, as well as the book by A. Agresti.
Platform: Windows, Mac, Linux and Solaris.
Requirements: GAUSS/GAUSS Light version 8.0 or higher.
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