From a77a10ea6c607346778ba0700b3b66ac393101a2 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Wed, 27 May 2020 06:06:08 +0200 Subject: Create up to date pkgdown docs in development mode --- docs/dev/reference/logLik.mkinfit.html | 229 +++++++++++++++++++++++++++++++++ 1 file changed, 229 insertions(+) create mode 100644 docs/dev/reference/logLik.mkinfit.html (limited to 'docs/dev/reference/logLik.mkinfit.html') diff --git a/docs/dev/reference/logLik.mkinfit.html b/docs/dev/reference/logLik.mkinfit.html new file mode 100644 index 00000000..840a4821 --- /dev/null +++ b/docs/dev/reference/logLik.mkinfit.html @@ -0,0 +1,229 @@ + + + + + + + + +Calculated the log-likelihood of a fitted mkinfit object — logLik.mkinfit • mkin + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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Calculated the log-likelihood of a fitted mkinfit object

+ Source: R/logLik.mkinfit.R + +
+ +
+

This function returns the product of the likelihood densities of each +observed value, as calculated as part of the fitting procedure using +dnorm, i.e. assuming normal distribution, and with the means +predicted by the degradation model, and the standard deviations predicted by +the error model.

+
+ + 
# S3 method for mkinfit
+logLik(object, ...)
+ +

Arguments

+ + + + + + + + + + +
object

An object of class mkinfit.

...

For compatibility with the generic method

+ +

Value

+ +

An object of class logLik with the number of estimated +parameters (degradation model parameters plus variance model parameters) +as attribute.

+

Details

+ +

The total number of estimated parameters returned with the value of the +likelihood is calculated as the sum of fitted degradation model parameters +and the fitted error model parameters.

+

See also

+ +

Compare the AIC of columns of mmkin objects using +AIC.mmkin.

+ +

Examples

+ 

+  # \dontrun{
+  sfo_sfo <- mkinmod(
+    parent = mkinsub("SFO", to = "m1"),
+    m1 = mkinsub("SFO")
+  )
#> Successfully compiled differential equation model from auto-generated C code.
  d_t <- FOCUS_2006_D
+  f_nw <- mkinfit(sfo_sfo, d_t, quiet = TRUE) # no weighting (weights are unity)
#> Warning: Observations with value of zero were removed from the data
  f_obs <- mkinfit(sfo_sfo, d_t, error_model = "obs", quiet = TRUE)
#> Warning: Observations with value of zero were removed from the data
  f_tc <- mkinfit(sfo_sfo, d_t, error_model = "tc", quiet = TRUE)
#> Warning: Observations with value of zero were removed from the data
  AIC(f_nw, f_obs, f_tc)
#>       df      AIC
+#> f_nw   5 204.4486
+#> f_obs  6 205.8727
+#> f_tc   6 141.9656
  # }
+
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+
+ +
+ + + +
+ + + + + + + + -- cgit v1.2.1