parms {mkin} | R Documentation |
This function always returns degradation model parameters as well as error model parameters, in order to avoid working with a fitted model without considering the error structure that was assumed for the fit.
parms(object, ...) ## S3 method for class 'mkinfit' parms(object, transformed = FALSE, ...) ## S3 method for class 'mmkin' parms(object, transformed = FALSE, ...)
object |
A fitted model object. Methods are implemented for
|
... |
Not used |
transformed |
Should the parameters be returned as used internally during the optimisation? |
For mkinfit objects, a numeric vector of fitted model parameters. For mmkin row objects, a matrix with the parameters with a row for each dataset. If the mmkin object has more than one row, a list of such matrices is returned.
# mkinfit objects fit <- mkinfit("SFO", FOCUS_2006_C, quiet = TRUE) parms(fit) parms(fit, transformed = TRUE) # mmkin objects ds <- lapply(experimental_data_for_UBA_2019[6:10], function(x) subset(x$data[c("name", "time", "value")])) names(ds) <- paste("Dataset", 6:10) ## Not run: fits <- mmkin(c("SFO", "FOMC", "DFOP"), ds, quiet = TRUE, cores = 1) parms(fits["SFO", ]) parms(fits[, 2]) parms(fits) parms(fits, transformed = TRUE) ## End(Not run)