2007
DOI: 10.18637/jss.v022.i11
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Estimating and Analyzing Demographic Models Using thepopbioPackage inR

Abstract: A complete assessment of population growth and viability from field census data often requires complex data manipulations, statistical routines, mathematical tools, programming environments, and graphical capabilities. We therefore designed an R package called popbio to facilitate both the construction and analysis of projection matrix models. The package consists primarily of the R translation of MATLAB code found in Caswell (2001) and Morris and Doak (2002) for the analysis of projection matrix models. The p… Show more

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Cited by 609 publications
(501 citation statements)
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“…To test the demographic sensitivity and elasticity of the current wild populations we used the 'popbio' package in Program R (Stubben and Milligan 2007). We applied the sensitivity and elasticity functions in the 'popbio' package to the deterministic projection matrix for the Base Model.…”
Section: Testing Demographic Sensitivitymentioning
confidence: 99%
“…To test the demographic sensitivity and elasticity of the current wild populations we used the 'popbio' package in Program R (Stubben and Milligan 2007). We applied the sensitivity and elasticity functions in the 'popbio' package to the deterministic projection matrix for the Base Model.…”
Section: Testing Demographic Sensitivitymentioning
confidence: 99%
“…vital rate) on the population growth rate (Caswell, 2001). Matrix population models were analyzed using the package popbio (Stubben and Milligan, 2007) for program R (R Development Core Team, 2011). All results obtained from survival, fecundity and population modeling are given as mean ± standard error, unless otherwise indicated.…”
Section: Population Modelingmentioning
confidence: 99%
“…We used a mark-recapture population estimate of 94 individuals from the Aspen study (P.M. Lukacs, Colorado Parks and Wildlife, Personal Communication) to set the initial stage densities for the three older stage classes and calculated the number of cubs so that each simulation began at a stable stage distribution (SSD). We used the R package popbio version 2.4 (Stubben and Milligan, 2007) to calculate a SSD for each scenario determined from the eigen-vector associated with the dominate eigen-value of a projection matrix populated with good year vital rate means. Natural food failures in Aspen are often attributed to late spring freezes, so we used 30 years of minimum daily temperatures during the month of June and assumed temperatures below −2.2 • C caused a failure of the main natural food sources (Neilson and Wullstein, 1980;Pierre, 1989).…”
Section: Simulation: 50-year Projectionsmentioning
confidence: 99%