mkin (version 1.0.3)

parms: Extract model parameters from mkinfit models

Description

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.

Usage

parms(object, ...)
# S3 method for mkinfit
parms(object, transformed = FALSE, ...)
# S3 method for mmkin
parms(object, transformed = FALSE, ...)

Arguments

object

A fitted model object. Methods are implemented for mkinfit() objects and for mmkin() objects.

…

Not used

transformed

Should the parameters be returned as used internally during the optimisation?

Value

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.

Examples

# NOT RUN {
# 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)
# }

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