Editing Mark and recapture (section)

== More than two visits ==
The literature on the analysis of capture-recapture studies has blossomed since the early 1990s{{Citation needed|date=May 2013}}. There are very elaborate statistical models available for the analysis of these experiments.<ref name="mccrea">McCrea, R.S. and Morgan, B.J.T. (2014) {{cite web|title=Analysis of capture-recapture data.|url=http://www.capturerecapture.co.uk|access-date=19 Nov 2014}} {{cite web|title=Chapman and Hall/CRC Press|url=http://www.crcpress.com/product/isbn/9781439836590|access-date=19 Nov 2014}}</ref> A simple model which easily accommodates the three source, or the three visit study, is to fit a [[Poisson regression]] model. Sophisticated mark-recapture models can be fit with several packages for the Open Source [[R programming language]].  These include "Spatially Explicit Capture-Recapture (secr)",<ref>{{cite web |last1=Efford |first1=Murray |title=Spatially Explicit Capture-Recapture (secr) |url=https://cran.r-project.org/web/packages/secr/index.html |access-date=2016-09-02 |publisher=Comprehensive R Archive Network (CRAN) |date=2016-09-02 }}</ref> "Loglinear Models for Capture-Recapture Experiments (Rcapture)",<ref>{{cite web |last1=Rivest |first1=Louis-Paul |last2=Baillargeon |first2=Sophie |title=Loglinear Models for Capture-Recapture Experiments (Rcapture) |url=https://cran.r-project.org/web/packages/Rcapture/index.html |access-date=2016-09-02 |publisher=Comprehensive R Archive Network (CRAN) |date=2014-09-01 }}</ref> and "Mark-Recapture Distance Sampling (mrds)".<ref>{{cite web |last1=Laake |first1=Jeff |last2=Borchers |first2=David |last3=Thomas |first3=Len |last4=Miller |first4=David |last5=Bishop |first5=Jon |title=Mark-Recapture Distance Sampling (mrds) |date=2015-08-17 |publisher=Comprehensive R Archive Network (CRAN) |url=https://cran.r-project.org/web/packages/mrds/index.html }}</ref>  Such models can also be fit with specialized programs such as [[MARK (Software)|MARK]]<ref name=MARK>{{cite web|title=Program MARK|url=http://www.warnercnr.colostate.edu/~gwhite/mark/mark.htm|access-date=29 May 2013|url-status=dead|archive-url=https://web.archive.org/web/20060221143512/http://www.warnercnr.colostate.edu/~gwhite/mark/mark.htm|archive-date=21 February 2006}}</ref> or [[E-SURGE]].<ref name=Logiciels>{{cite web|title=Logiciels|url=http://www.cefe.cnrs.fr/biom/Logiciels.htm|url-status=dead|archive-url=https://web.archive.org/web/20090724143418/http://www.cefe.cnrs.fr/biom/logiciels.htm|archive-date=2009-07-24}}</ref>

Other related methods which are often used include the [[Jolly–Seber model]] (used in open populations and for multiple census estimates) and Schnabel estimators<ref>{{cite journal | last1 = Schnabel | first1 = Z. E. | year = 1938 | title = The Estimation of the Total Fish Population of a Lake | journal = [[American Mathematical Monthly]] | volume = 45 | issue = 6| pages = 348–352 | doi=10.2307/2304025| jstor = 2304025 }}</ref> (an expansion to the Lincoln–Petersen method for closed populations). These are described in detail by Sutherland.<ref name="sutherland">{{cite book|title=Ecological Census Techniques: A Handbook|editor=William J. Sutherland|year=1996|publisher=Cambridge University Press|isbn=0-521-47815-4}}</ref>