Fit a logistic curve to the raw effective number of parameters over log smoothing parameter
logistic.enp(log.spar, enps, maximum, minimum = 2, eps = 1e-08)
A numeric vector of log smoothing parameters
A numeric vector of raw effective number of parameters
A numeric scalar of upper bound of the effective number of parameters
A numeric scalar of lower bound of the effective enumber of parameters
A small numeric scalar of error of tolerence
A numeric vector of fitted effective number of parameters, with attributes
log of smoothing parameter
rate parameter of the logistic curve
the center parameter of the logistic curve
the exponent parameter of the logistic curve
a nonlinear least squared fit object
Indices of enps whose values are reasonably estimated
The model of enps from a isotonic fit
The purpose is of this function is to reduce some estimation variability of effective number of parameters. The function heuristically fit a smooth logistic curve to the raw effective number of parameters.