Supplement 1. R scripts for calculating maximum likelihood estimates, restricted maximum likelihood estimates, and parametric bootstrap likelihood ratio tests of density dependence, for the Ornstein-Uhlenbeck state-space model, using population-abundance data having possibly unequal observation time intervals.

2016-08-10T06:35:55Z (GMT) by Brian Dennis José Miguel Ponciano
<h2>File List</h2><div> <p><a href="RUNNING-ROUSS.R">RUNNING-ROUSS.R</a> (MD5: c07b061d09a71a54d0a0f70844ef9d77)</p> <p><a href="RUNNING-PBLRT.R">RUNNING-PBLRT.R</a> (MD5: f786fefc7684bd3bd099a1f682babaa5)</p> <p><a href="ROUSSE-1.0.R">ROUSSE-1.0.R</a> (MD5: d3ced6b948020ce1231da2262e3f0648)</p> </div><h2>Description</h2><div> <p>This supplement contains three R scripts: (1) RUNNING-ROUSS.R calculates maximum likelihood and restricted maximum likelihood estimates for the Ornstein Uhlenbeck state space model (stationary and non-stationary), using population-abundance data having possibly unequal observation time intervals. (2) RUNNING-PBLRT.R performs parametric bootstrap likelihood ratio test of exponential growth state space model vs. Ornstein-Uhlenbeck state space model. (3) ROUSSE-1.0.R contains the functions used in statistical inferences for the Ornstein-Uhlenbeck state space model. ROUSSE-1.0.R is called by both RUNNING-ROUSS.R and RUNNING-PBLRT.R and must be present (as a file by that name) in the working directory of R.</p> </div>