Description: Use the s3x package, not this package.

Title: Optimal Feature Weighting algorithm
Author: Kim-Anh Le Cao and Patrick Chabrier
Description: This package implements the stochastic meta algorithm called Optimal Feature Weighting for two multiclass classifiers, CART and SVM
Maintainer: Kim-Anh Le Cao <Kim-Anh.Le-Cao@toulouse.inra.fr>
Packaged: Mon Jan 28 15:14:25 2008; kim-anh

Packaged: Tue Feb 12 18:43:34 2008; kim-anh

Packaged: Tue Aug 19 15:24:46 2008; kim-anh

Packaged: Sun Nov 16 00:13:59 2008; zeileis

Title: Estimation of Ordered Generalized Linear Models
Description: Ordered models such as ordered probit and ordered logit presume that the error variance is constant across observations. In the case that this assumption does not hold estimates of marginal effects are typically biased. This package allows for generalization of ordered probit and ordered logit models by allowing the user to specify a model for the variance. Furthermore, the package includes functions to calculate the marginal effects.

Description: Ordered models such as ordered probit and ordered logit presume that the error variance is constant across observations. In the case that this assumption does not hold estimates of marginal effects are typically biased. This package allows for generalization of ordered probit and ordered logit models by allowing the user to specify a model for the variance. Furthermore, the package includes functions to calculate the marginal effects. Wrapper functions to estimate the standard limited dependent variable models are also included.

Description: Ordered models such as ordered probit and ordered logit presume that the error variance is constant across observations. In the case that this assumption does not hold estimates of marginal effects are typically biased (Weiss (1997)). This package allows for generalization of ordered probit and ordered logit models by allowing the user to specify a model for the variance. Furthermore, the package includes functions to calculate the marginal effects. Wrapper functions to estimate the standard limited dependent variable models are also included.