getMeanFunctions.RdDisplay information about available, built-in dose-response models.
getMeanFunctions(noParm = NA, fname = NULL, flist = NULL, display =TRUE)
| noParm | numeric specifying the number of parameters of the models to be displayed. The default (NA) results in display of all models, regardless of number of parameters. |
|---|---|
| fname | character string or vector of character strings specifying the short name(s) of the models to be displayed (need to match exactly). |
| flist | list of built-in functions to be displayed. |
| display | logical indicating whether or not the requested models should be displayed on the R console. |
The arguments noParm and fname can be combined.
An invisible list of functions or a list of strings with brief function descriptions is returned.
## Listing all functions getMeanFunctions()#> Log-logistic (ED50 as parameter) with lower limit at 0 and upper limit at 1 #> (2 parameters) #> In 'drc': LL.2 #> #> Log-logistic (ED50 as parameter) with lower limit at 0 #> (3 parameters) #> In 'drc': LL.3 #> #> Log-logistic (ED50 as parameter) with upper limit at 1 #> (3 parameters) #> In 'drc': LL.3u #> #> Log-logistic (ED50 as parameter) #> (4 parameters) #> In 'drc': LL.4 #> #> Generalized log-logistic (ED50 as parameter) #> (5 parameters) #> In 'drc': LL.5 #> #> Weibull (type 1) with lower limit at 0 and upper limit at 1 #> (2 parameters) #> In 'drc': W1.2 #> #> Weibull (type 1) with lower limit at 0 #> (3 parameters) #> In 'drc': W1.3 #> #> Weibull (type 1) #> (4 parameters) #> In 'drc': W1.4 #> #> Weibull (type 2) with lower limit at 0 and upper limit at 1 #> (2 parameters) #> In 'drc': W2.2 #> #> Weibull (type 2) with lower limit at 0 #> (3 parameters) #> In 'drc': W2.3 #> #> Weibull (type 2) #> (4 parameters) #> In 'drc': W2.4 #> #> Brain-Cousens (hormesis) with lower limit fixed at 0 #> (4 parameters) #> In 'drc': BC.4 #> #> Brain-Cousens (hormesis) #> (5 parameters) #> In 'drc': BC.5 #> #> Log-logistic (log(ED50) as parameter) with lower limit at 0 and upper limit at 1 #> (2 parameters) #> In 'drc': LL2.2 #> #> Log-logistic (log(ED50) as parameter) with lower limit at 0 #> (3 parameters) #> In 'drc': LL2.3 #> #> Log-logistic (log(ED50) as parameter) with upper limit at 1 #> (3 parameters) #> In 'drc': LL2.3u #> #> Log-logistic (log(ED50) as parameter) #> (4 parameters) #> In 'drc': LL2.4 #> #> Generalised log-logistic (log(ED50) as parameter) #> (5 parameters) #> In 'drc': LL2.5 #> #> Asymptotic regression with lower limit at 0 #> (2 parameters) #> In 'drc': AR.2 #> #> Shifted asymptotic regression #> (3 parameters) #> In 'drc': AR.3 #> #> Michaelis-Menten #> (2 parameters) #> In 'drc': MM.2 #> #> Shifted Michaelis-Menten #> (3 parameters) #> In 'drc': MM.3 #>## Listing all functions with 4 parameters getMeanFunctions(4)#> Log-logistic (ED50 as parameter) #> (4 parameters) #> In 'drc': LL.4 #> #> Weibull (type 1) #> (4 parameters) #> In 'drc': W1.4 #> #> Weibull (type 2) #> (4 parameters) #> In 'drc': W2.4 #> #> Brain-Cousens (hormesis) with lower limit fixed at 0 #> (4 parameters) #> In 'drc': BC.4 #> #> Log-logistic (log(ED50) as parameter) #> (4 parameters) #> In 'drc': LL2.4 #>## Listing all (log-)logistic functions getMeanFunctions(fname = "L") ## Listing all three-parameter (log-)logistic or Weibull functions getMeanFunctions(3, fname = c("LL", "W")) ## Listing all four-parameter (log-)logistic or Weibull functions getMeanFunctions(4, fname = c("LL", "W"))