Recover the "discoverability coefficient".
Description
Estimates the effect of the degree on the rate of sampling. Also known as the "coefficient of discoverability" in the oildiscovery literature [2]. Formally, we estimate theta and beta_0 assuming that beta_k:= beta_0 * k^theta.
Usage
1 
Arguments
rds.object 
A 
bin 
Bin degree counts. See Note. 
robust 
Should beta_0 and theta be recovered from beta_k using a robust method (default) or not. 
Value
A list including the following components:
log.beta_0 
The log of beta_0 in beta_k:= beta_0 * k^theta. 
theta 
theta in beta_k:= beta_0 * k^theta. 
Note
If degree counts have been binned by initializeRdsObject
(for variance reduction), the same value has to be supplied to getTheta
for correct estimation.
Author(s)
Jonathan D. Rosenblatt john.ros.work@gmail.com
References
[1] Berchenko, Yakir, Jonathan Rosenblatt, and Simon D. W. Frost. "Modeling and Analyzing Respondent Driven Sampling as a Counting Process."" arXiv:1304.3505. HTTP://arXiv.org/abs/1304.3505. [2] Bloomfield, P., K.S. Deffeyes, B. Silverman, G.S. Watson, Y. Benjamini, and R.A. Stine. Volume and Area of Oil Fields and Their Impact on Order of Discovery, 1980. http://www.osti.gov/scitech/servlets/purl/6037591.
See Also
estimate.b.k
, initializeRdsObject
, makeRdsSample
Examples
1  # See in estimate.b.k()
