From 966da79af48c371c05dd8011702ef2bd3b1d1e03 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Thu, 1 Mar 2018 10:35:09 +0100 Subject: Static documentation rebuilt using current pkgdown --- docs/reference/loq.html | 110 +++++++++++++++++++++++++++--------------------- 1 file changed, 63 insertions(+), 47 deletions(-) (limited to 'docs/reference/loq.html') diff --git a/docs/reference/loq.html b/docs/reference/loq.html index ad7fa86..2fb01a8 100644 --- a/docs/reference/loq.html +++ b/docs/reference/loq.html @@ -18,19 +18,34 @@ + + + + + + + - + + + @@ -79,62 +94,63 @@ $$L = k c(L)$$ where c(L) is half of the length of the confidence interval at the limit L (DIN 32645, equivalent to ISO 11843). c(L) is internally estimated by - inverse.predict, and L is obtained by iteration.

+ inverse.predict, and L is obtained by iteration.

- 
loq(object, …, alpha = 0.05, k = 3, n = 1, w.loq = "auto",
+    
loq(object, …, alpha = 0.05, k = 3, n = 1, w.loq = "auto",
     var.loq = "auto", tol = "default")

     
     
 Arguments

-    

-      
object

-      

-    A univariate model object of class lm or 
+    
+    
+    
+      
+      
+    
+    
+      
+      
+    
+    
+      
+      
+    
+    
+      
+      
+    
+    
+      
+      
+    
+    
+      
+      
+    
+    
+      
+      
+    
+    
+      
+      
+    
+    
object
A univariate model object of class lm or 
     rlm 
     with model formula y ~ x or y ~ x - 1, 
     optionally from a weighted regression. If weights are specified
     in the model, either w.loq or var.loq have to 
-    be specified.
-  
-      
alpha

-      

-    The error tolerance for the prediction of x values in the calculation.
-  

-      
…

-      

-    Placeholder for further arguments that might be needed by 
-    future implementations.
-  

-      
k

-      
 
-    The inverse of the maximum relative error tolerated at the
-    desired LOQ.
-  

-      
n

-      

-    The number of replicate measurements for which the LOQ should be
-    specified.
-  

-      
w.loq

-      

-    The weight that should be attributed to the LOQ. Defaults
+    be specified.
alpha
The error tolerance for the prediction of x values in the calculation.
…
Placeholder for further arguments that might be needed by 
+    future implementations.
k
The inverse of the maximum relative error tolerated at the
+    desired LOQ.
n
The number of replicate measurements for which the LOQ should be
+    specified.
w.loq
The weight that should be attributed to the LOQ. Defaults
     to one for unweighted regression, and to the mean of the weights
-    for weighted regression. See massart97ex3 for 
+    for weighted regression. See massart97ex3 for 
     an example how to take advantage of knowledge about the 
-    variance function.
-  
-      
var.loq

-      

-    The approximate variance at the LOQ. The default value is 
-    calculated from the model.
-  

-      
tol

-      

-    The default tolerance for the LOQ on the x scale is the value of the
+    variance function.
var.loq
The approximate variance at the LOQ. The default value is 
+    calculated from the model.
tol
The default tolerance for the LOQ on the x scale is the value of the
     smallest non-zero standard divided by 1000. Can be set to a 
-    numeric value to override this.
-  
-    
+    numeric value to override this.

     
     
Value

 
@@ -149,7 +165,7 @@
     
     
See also

 
-    
Examples for din32645

+    
Examples for din32645

     
 
     
Examples

@@ -195,7 +211,7 @@
 
 
 

-  
Site built with pkgdown.

+  
Site built with pkgdown.

 

 
       
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