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SPAS  

Stratified-Petersen Analysis System
View on CRAN: Click here


Download and install SPAS package within the R console
Install from CRAN:
install.packages("SPAS")

Install from Github:
library("remotes")
install_github("cran/SPAS")

Install by package version:
library("remotes")
install_version("SPAS", "2024.1.31")



Attach the package and use:
library("SPAS")
Maintained by
Carl James Schwarz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-02-18
Latest Update: 2024-01-25
Description:
The Stratified-Petersen Analysis System (SPAS) is designed to estimate abundance in two-sample capture-recapture experiments where the capture and recaptures are stratified. This is a generalization of the simple Lincoln-Petersen estimator. Strata may be defined in time or in space or both, and the s strata in which marking takes place may differ from the t strata in which recoveries take place. When s=t, SPAS reduces to the method described by Darroch (1961) <doi:10.2307/2332748>. When s<t, SPAS implements the methods described in Plante, Rivest, and Tremblay (1988) <doi:10.2307/2533994>. Schwarz and Taylor (1998) <doi:10.1139/f97-238> describe the use of SPAS in estimating return of salmon stratified by time and geography. A related package, BTSPAS, deals with temporal stratification where a spline is used to model the distribution of the population over time as it passes the second capture location. This is the R-version of the (now obsolete) standalone Windows program available at <https://home.cs.umanitoba.ca/~popan/spas/spas_home.html>.
How to cite:
Carl James Schwarz (2019). SPAS: Stratified-Petersen Analysis System. R package version 2024.1.31, https://cran.r-project.org/web/packages/SPAS. Accessed 21 Nov. 2024.
Previous versions and publish date:
2019.2 (2019-02-18 10:30), 2020.1.1 (2019-12-02 10:30), 2023.3.31 (2023-04-21 00:12)
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