Class L9c: Categorical data analysis using the log-linear model
Modules
Package IMSLS (Installed on ITL)
- DPRPFT
- Perform iterative proportional fitting of a contingency table using a loglinear model.
- PRPFT
- Perform iterative proportional fitting of a contingency table using a loglinear model.
Package NAG
- G02GCF
- Fits a generalized linear model with Poisson errors
- G02GKF
- Estimates and standard errors of parameters of a general linear model for given constraints
- G02GNF
- Computes estimable function of a generalized linear model and its standard error
- g02gcc
- Fits a generalized linear model with Poisson errors
- g02gkc
- Estimates and standard errors of parameters of a general linear model for given constraints
- g02gnc
- Estimable function and the standard error of a generalized linear model
Package SAS (Installed on ITL)
- CATMOD
- Analyzes two-dimensional contingency tables by fitting linear models to functions of response frequencies using a maximum-likelihood estimation of parameters for log-linear models and the analysis of generalized logits, or using a weighted-least-squares estimation of parameters for general linear models. Options: weights, parameter testing.