Description Usage Arguments Value
Support functions for fitting four-parameter kappa sigmoidal curves.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | 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)
|
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. |
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.
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