create_runlines: Create runlines to be used by 'run()'

In ArkaB-DS/nlsCompare: Compare the best parameter values and sum-of-squares involved in solving nonlinear least squares (nls)

Description

This is a helper unction used by the run function. It creates the runlines that can used by a nonlinear least squares (nls) function like nls.

Usage

create_runline(NLSsolver,NLSalgorithm,NLScontrol,NLSdata,
			NLSstart,NLSlower,NLSupper,NLSweights,NLSsubset,
			NLSna.action=NULL,NLSmasked=NULL)

Arguments

NLSsolver	a string that is the name of an nls function viz. nlxb.
NLSalgorithm	a string that is the name of the algorithm used in the solver. For exmaple, "marquardt", "plinear", "port", etc.
NLScontrol	a list of control settings. See, for example, nls.control,nls.lm.control.
NLSdata	a dataframe that contains the nonlinear problem data
NLSstart	a named list or named numeric vector of starting estimates.
NLSlower	vector of lower bound
NLSupper	vector of upper bound
NLSweights	a numeric vector of (fixed) weights. When present, the objective function is weighted least squares.
NLSsubset	an vector specifying a subset of observations to be used in the fitting process
NLSna.action	a function which indicates what should happen when the data contain NAs.
NLSmasked	Character vector of quoted parameter names. See nlxb

Value

Returns a string used inside run

Note

This is a helper function used inside run.

See Also

run

ArkaB-DS/nlsCompare documentation built on Jan. 1, 2022, 2 p.m.