diff options
| author | Johannes Ranke <jranke@uni-bremen.de> | 2019-10-31 01:55:01 +0100 |
|---|---|---|
| committer | Johannes Ranke <jranke@uni-bremen.de> | 2019-10-31 01:59:05 +0100 |
| commit | 7091d3738e7e55acb20edb88772b228f6f5b6c98 (patch) | |
| tree | b6e31700074605c702662e5238162c57de330453 /docs/reference/logLik.mkinfit.html | |
| parent | 5e4ea59a41e00b05ea6664c08c7922e892e8ab77 (diff) | |
Add likelihood ratio test and other methods, fixes
The likelihood ratio test method is lrtest, in addition,
methods for update and residuals were added.
Diffstat (limited to 'docs/reference/logLik.mkinfit.html')
| -rw-r--r-- | docs/reference/logLik.mkinfit.html | 18 |
1 files changed, 10 insertions, 8 deletions
diff --git a/docs/reference/logLik.mkinfit.html b/docs/reference/logLik.mkinfit.html index c79146a9..9a54496e 100644 --- a/docs/reference/logLik.mkinfit.html +++ b/docs/reference/logLik.mkinfit.html @@ -36,10 +36,11 @@ <meta property="og:title" content="Calculated the log-likelihood of a fitted mkinfit object — logLik.mkinfit" /> -<meta property="og:description" content="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." /> +<meta property="og:description" content="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." /> <meta name="twitter:card" content="summary" /> @@ -136,10 +137,11 @@ deviation predicted by the error model." /> </div> <div class="ref-description"> - <p>This function simply calculates the product of the likelihood densities -calculated using <code><a href='https://rdrr.io/r/stats/Normal.html'>dnorm</a></code>, i.e. assuming normal distribution, -with of the mean predicted by the degradation model, and the standard -deviation predicted by the error model.</p> + <p>This function returns the product of the likelihood densities of each +observed value, as calculated as part of the fitting procedure using +<code><a href='https://rdrr.io/r/stats/Normal.html'>dnorm</a></code>, i.e. assuming normal distribution, and with the means +predicted by the degradation model, and the standard deviations predicted by +the error model.</p> </div> <pre class="usage"><span class='co'># S3 method for mkinfit</span> |