Added support for multinomial baseline logit model with random effects.

pkg/DESCRIPTION

@@ -5,13 +5,19 @@ Version: 0.5
 Date: 2017-01-05
 Author: Martin Elff
 Maintainer: Martin Elff <mclogit@elff.eu>
-Description: Specification and estimation of conditional logit models of binary responses and multinomial counts is provided,
-  with or without alternative-specific random effects.
-  The current implementation of the estimator for random effects variances uses a Laplace approximation (or PQL) 
-  approach and thus should be used only if groups sizes are large.
+Description: Specification and estimation of conditional logit models of binary
+    responses and multinomial counts is provided, with or without alternative-
+    specific random effects. The current implementation of the estimator for random
+    effects variances uses a Laplace approximation (or PQL) approach and thus should
+    be used only if groups sizes are large.
 License: GPL-2
-Depends: stats, Matrix
-Imports: memisc, methods
+Depends:
+    stats,
+    Matrix
+Imports:
+    memisc,
+    methods
 LazyLoad: Yes
 URL: http://www.elff.eu/software/mclogit/,http://github.com/melff/mclogit/
 BugReports: http://github.com/melff/mclogit/issues
+RoxygenNote: 5.0.1

pkg/NAMESPACE

@@ -33,7 +33,10 @@ S3method(fitted,mblogit)
 S3method(predict,mblogit)
 S3method(weights,mblogit)
 
-
 S3method(print,mmclogit)
 S3method(summary,mmclogit)
 S3method(print,summary.mmclogit)
+
+S3method(print,mmblogit)
+S3method(summary,mmblogit)
+S3method(print,summary.mmblogit)

pkg/R/getSummary-mblogit.R

@@ -78,3 +78,5 @@ getSummary.mblogit <- function(obj,
        xlevels = obj$xlevels,
        sumstat=sumstat)
 }
+
+getSummary.mmblogit <- getSummary.mblogit