From c3700bec3a704660d3ade7a54c56b7084beb02b4 Mon Sep 17 00:00:00 2001
From: Johannes Ranke Akaike weights are calculated based on the relative
+expected Kullback-Leibler information as specified
+by Burnham and Anderson (2004). An mmkin column object, containing two or more
+ Not used in the method for mmkin column objects,
+further mkinfit objects in the method for mkinfit objects. Burnham KP and Anderson DR (2004) Multimodel
+ Inference: Understanding AIC and BIC in Model Selection
+ Sociological Methods & Research 33(2) 261-304Calculate Akaike weights for model averaging
+
+ aw.Rd
aw(object, ...)
+
+# S3 method for mkinfit
+aw(object, ...)
+
+# S3 method for mmkin
+aw(object, ...)
+
+ Arguments
+
+
+
+
+
+ object
+
+ mkinfit
models that have been fitted to the same data,
+or an mkinfit object. In the latter case, further mkinfit
+objects fitted to the same data should be specified
+as dots arguments.
+
+ ...
+
+ References
+
+ Examples
+
+
An mmkin column object, containing two or more
-mkinfit
models that have been fitted to the same data,
+
An mmkin column object, containing two or more +mkinfit models that have been fitted to the same data, or an mkinfit object. In the latter case, further mkinfit objects fitted to the same data should be specified as dots arguments.
Not used in the method for mmkin column objects, -further mkinfit objects in the method for mkinfit objects.
Not used in the method for mmkin column objects, +further mkinfit objects in the method for mkinfit objects.
Burnham KP and Anderson DR (2004) Multimodel - Inference: Understanding AIC and BIC in Model Selection - Sociological Methods & Research 33(2) 261-304
+Inference: Understanding AIC and BIC in Model Selection. +Sociological Methods & Research 33(2) 261-304# \dontrun{ -- cgit v1.2.1