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inst/apps/rcapture/helpfiles/lcmcrEssText.md
In shinyrecap: 'Shiny' User Interface for Multiple Source Capture Recapture Models
Effective Sample Size
This algorithm draws samples from the posterior distribution to estimate population size. These samples are correlated, and the effective sample size is the effective number of "independent" samples we have. If this is too low, the population size estimate will vary considerably from one run to the next. Increase the # of samples until this is high enough (> 1000 preferably) that there is little difference in the estimates from one run to the next.
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shinyrecap documentation built on July 30, 2026, 1:07 a.m.
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Effective Sample Size
This algorithm draws samples from the posterior distribution to estimate population size. These samples are correlated, and the effective sample size is the effective number of "independent" samples we have. If this is too low, the population size estimate will vary considerably from one run to the next. Increase the # of samples until this is high enough (> 1000 preferably) that there is little difference in the estimates from one run to the next.
Try the shinyrecap package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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