Description: Algorithms for ordinal causal discovery. This package aims to enable users to discover causality for observational ordinal categorical data with greedy and exhaustive search. See Ni, Y., & Mallick, B. (2022) <https://proceedings.mlr.press/v180/ni22a/ni22a.pdf> "Ordinal Causal Discovery. Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, (UAI 2022), PMLR 180:1530–1540".
Imports: gRbase, MASS, bnlearn, igraph, stats

Title: Least squares, logistic, and Cox-regression with ordered
Description: In biomedical studies, researchers are often interested in
assessing the association between one or more ordinal
explanatory variables and an outcome variable, at the same time
adjusting for covariates of any type. The outcome variable may
be continuous, binary, or represent censored survival times. In
the absence of a precise knowledge of the response function,
using monotonicity constraints on the ordinal variables
improves efficiency in estimating parameters, especially when
sample sizes are small. This package implements an active set
algorithm that efficiently computes such estimators.
Packaged: Thu Apr 16 10:46:06 2009; rufibach

Description: In biomedical studies, researchers are often interested in assessing the association between one or more ordinal explanatory variables and an outcome variable, at the same time adjusting for covariates of any type. The outcome variable may be continuous, binary, or represent censored survival times. In the absence of a precise knowledge of the response function, using monotonicity constraints on the ordinal variables improves efficiency in estimating parameters, especially when sample sizes are small. This package implements an active set algorithm that efficiently computes such estimators.

Title: Least Squares, Logistic, and Cox-Regression with Ordered

Description: Develops a classification model for ordinal responses.  A
logic regression trees is constructed for ordinal categories in
the data and then all trees are used to predict the class of