mnrfit
              Perform logistic regression for binomial responses or multiple ordinal responses.
 Note: This function is currently a wrapper for the logistic_regression
 function. It can only be used for fitting an ordinal logistic model and a
 nominal model with 2 categories (which is an ordinal case).  Hierarchical
 models as well as nominal model with more than two classes are not currently
 supported.  This function is a work in progress.
 B = mnrfit (X, Y)  returns a matrix, B, of
 coefficient estimates for a multinomial logistic regression of the nominal
 responses in Y on the predictors in X.  X is an 
 numeric matrix the observations on predictor variables, where 
 corresponds to the number of observations and  corresponds to
 predictor variables.  Y contains the response category labels and it
 either be an  categorical or numerical matrix (containing only 1s
 and 0s) or an  numeric vector with positive integer values, a cell
 array of character vectors and a logical vector.  Y can also be defined
 as a character matrix with each row corresponding to an observation of
 X.
 B = mnrfit (X, Y, name, value) returns a
 matrix, B, of coefficient estimates for a multinomial model fit with
 additional parameterss specified Name-Value pair arguments.
| Name | Value | |
|---|---|---|
| "model" | Specifies the type of model to fit.
 Currently, only "ordinal"is fully supported."nominal"is
 only supported for 2 classes in Y. | |
| "display" | A flag to enable/disable displaying
 information about the fitted model.  Default is "off". | 
 [B, dev, stats] = mnrfit (…  also returns the
 deviance of the fit, dev, and the structure stats for any of the
 previous input arguments. stats currently only returns values for the
 fields "beta", same as B, "coeffcorr", the estimated
 correlation matrix for B, "covd", the estimated covariance
 matrix for B, and "se", the standard errors of the coefficient
 estimates B.
See also: logistic_regression
Source Code: mnrfit