acme.est: Parameter Estimation for Persistence and Search Proficiency

Description Usage Arguments Value

Description

Finds Maximum Likelihood Estimates Weibull persistence parameters, and for exponentially decreasing search proficiency.

Usage

1
acme.est(rd, fname = "acme.est")

Arguments

rd

list output from acme::read.data()

fname

file name to which the output parameters are saved

Value

acme.est returns a list with the following components:

params

5-element vector: alpha and rho parameters for the Weibull persistence distribution, a and b parameters for the exponentially decreasing search proficiency, and bt as the bleed-through rate

info

list of select system information inherited from acme::read.data() output


acmeR documentation built on May 2, 2019, 9:24 a.m.