alR (version 2.2.0)

kappa4NLSobj: Sigmoidal curve fitting.

Description

Support functions for fitting four-parameter kappa sigmoidal curves.

Usage

kappa4NLSobj(parms, xvec, y, x_min, x_max)
kappa4NLScon(parms, xvec, y, x_min, x_max)
kappa4NLShin(parms, xvec, y, x_min, x_max)
kappa4NLSheq(parms, xvec, y, x_min, x_max)
kappa4ALobj(parms, al_samp, x_min, x_max, q1, q2)
kappa4ALcon(parms, al_samp, x_min, x_max, q1, q2)
kappa4ALhin(parms, al_samp, x_min, x_max, q1, q2)
kappa4ALheq(parms, al_samp, x_min, x_max, q1, q2)

Arguments

parms

A numeric vector of parameters to be estimated.

xvec

A numeric vector of independent observations.

y

A numeric vector of dependent observations.

x_min

The minimum xvec value.

x_max

The maximum xvec value.

al_samp

The sample arc length statistic.

q1, q2

Numeric vectors, for the lower and upper bounds of the intervals over which arc lengths are to be computed.

Value

kappa4NLSobj: The nonlinear least squares objective function.

kappa4NLScon: A vector with three conditions evaluated.

kappa4NLShin: A vector specifying a single nonlinear inequality constraint.

kappa4NLSheq: A vector specifying two nonlinear equality constraints.

kappa4ALobj: The arc length objective function.

kappa4ALcon: A vector with three conditions evaluated.

kappa4ALhin: A vector specifying a single nonlinear inequality constraint.

kappa4ALheq: A vector specifying two nonlinear equality constraints.