fit_bounded_logistic: Fit a bounded logistic curve

In PUMP: Power Under Multiplicity Project

Fit a bounded logistic curve

Description

Curve is of form f(y) = pmin + (pmax-pmin) * logistic( beta0 + beta1*x )

Usage

fit_bounded_logistic(x, y, wt)

Arguments

x	The vector of covariate values of the logistics
y	The proportion of 1s for a given value of x. Same length as x.
wt	The weight to place on a given x-y pair. Same length as x, or scalar.

Details

(logistic as defined by plogis) Note that a logistic curve is not a perfect fit for the functional form of the power curve, but is a useful approximation for the search procedure.

Value

Vector of four estimated parameters for the logistic curve: beta0, beta1, pmin, pmax

PUMP documentation built on April 4, 2025, 5:19 a.m.