From 91a5834dd701211f929fd25419dc34561ce3b4e7 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Fri, 14 Feb 2025 09:15:20 +0100 Subject: Initialize dev docs --- docs/dev/reference/aw.html | 153 +++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 153 insertions(+) create mode 100644 docs/dev/reference/aw.html (limited to 'docs/dev/reference/aw.html') diff --git a/docs/dev/reference/aw.html b/docs/dev/reference/aw.html new file mode 100644 index 00000000..c87247c5 --- /dev/null +++ b/docs/dev/reference/aw.html @@ -0,0 +1,153 @@ + +Calculate Akaike weights for model averaging — aw • mkin + Skip to contents + + +
+
+
+ +

Calculate Akaike weights for model averaging

+ Source: R/aw.R +
aw.Rd
+
+ +
+

Akaike weights are calculated based on the relative +expected Kullback-Leibler information as specified +by Burnham and Anderson (2004).

+
+ +
+

Usage

+ 
aw(object, ...)
+
+# S3 method for class 'mkinfit'
+aw(object, ...)
+
+# S3 method for class 'mmkin'
+aw(object, ...)
+
+# S3 method for class 'mixed.mmkin'
+aw(object, ...)
+
+# S3 method for class 'multistart'
+aw(object, ...)
+
+ +
+

Arguments

+ + +
object
+

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.

+ +
+
+

References

+

Burnham KP and Anderson DR (2004) Multimodel +Inference: Understanding AIC and BIC in Model Selection. +Sociological Methods & Research 33(2) 261-304

+
+ +
+

Examples

+ 
# \dontrun{
+f_sfo <- mkinfit("SFO", FOCUS_2006_D, quiet = TRUE)
+f_dfop <- mkinfit("DFOP", FOCUS_2006_D, quiet = TRUE)
+aw_sfo_dfop <- aw(f_sfo, f_dfop)
+sum(aw_sfo_dfop)
+#> [1] 1
+aw_sfo_dfop # SFO gets more weight as it has less parameters and a similar fit
+#> [1] 0.5970258 0.4029742
+f <- mmkin(c("SFO", "FOMC", "DFOP"), list("FOCUS D" = FOCUS_2006_D), cores = 1, quiet = TRUE)
+aw(f)
+#> [1] 0.4808722 0.1945539 0.3245740
+sum(aw(f))
+#> [1] 1
+aw(f[c("SFO", "DFOP")])
+#> [1] 0.5970258 0.4029742
+# }
+
+
+
+ + +
+ + + + + + + -- cgit v1.2.1