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Quantal
Response
Quantal Response is a statistical package which provides a set of procedures for estimating models in which the dependent variable is qualitative in some way. These models are particularly useful for researchers in the social, behavioral, and biomedical sciences, as well as economics, public choice, education, and marketing.
Features
- Efficiently handles large
data sets
- Estimates unknown parameters
- Provides a variety of
goodness-of-fit measures
- All regression procedures
can be run at a specified data range
- Performs multiple linear
hypothesis testing with any form
- Accommodates both numeric
and character variables
Main Models
- LOGIT: Estimates multinomial
logit model, in which qualitative choices have more
than two categories
- ORDERED: Estimates the
ordered logit or ordered probit models in which the choice
variable is inherently ordered
- PROBIT: Estimates the
binomial probit model
- PSNREG: Estimates the
Poisson regression model
- QTEST: Tests the linear
hypothesis
Platform: Windows, LINUX and UNIX.
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