From af2e1540cdad2fd00bb6216a38a754ff748629ad Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Fri, 25 Oct 2019 02:10:08 +0200 Subject: Static documentation rebuilt by pkgdown --- docs/reference/logLik.mkinfit.html | 51 ++++++++++++++++++-------------------- 1 file changed, 24 insertions(+), 27 deletions(-) (limited to 'docs/reference/logLik.mkinfit.html') diff --git a/docs/reference/logLik.mkinfit.html b/docs/reference/logLik.mkinfit.html index dbe0c116..c79146a9 100644 --- a/docs/reference/logLik.mkinfit.html +++ b/docs/reference/logLik.mkinfit.html @@ -8,11 +8,13 @@ Calculated the log-likelihood of a fitted mkinfit object — logLik.mkinfit • mkin + + @@ -32,19 +34,17 @@ - + +calculated using dnorm, i.e. assuming normal distribution, +with of the mean predicted by the degradation model, and the standard +deviation predicted by the error model." /> + @@ -115,7 +115,6 @@ The total number of estimated parameters returned with the value News - @@ -137,20 +136,15 @@ The total number of estimated parameters returned with the value
-

This function simply calculates the product of the likelihood densities - calculated using dnorm, i.e. assuming normal distribution, - with of the mean predicted by the degradation model, and the - standard deviation predicted by the error model.

-

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.

- +calculated using dnorm, i.e. assuming normal distribution, +with of the mean predicted by the degradation model, and the standard +deviation predicted by the error model.

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

Arguments

@@ -163,21 +157,25 @@ The total number of estimated parameters returned with the value

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.

- +

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{
+    

+  # \dontrun{
   sfo_sfo <- mkinmod(
     parent = mkinsub("SFO", to = "m1"),
     m1 = mkinsub("SFO")
@@ -186,17 +184,16 @@ The total number of estimated parameters returned with the value
 #> f_nw   5 204.4486
 #> f_obs  6 205.8727
 #> f_tc   6 141.9656
  # }
+