CEAMEC: Cost-Effective Animal Management via Environmental Capacity
For those do not want to be troubled with R and have small projects, please feel free to access CEAMEC on the Shiny Cloud: https://qt37t247.shinyapps.io/ceamec/
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Please use the latest R: https://www.r-project.org/
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Please use the latest RTools: https://cran.r-project.org/bin/windows/Rtools/
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Please use the latest Java (version > 8): https://www.java.com/download
Check whether all dependent R packages are installed (for the first time installing CEAMEC).
list.of.packages <- c("shiny","rgdal","leaflet","shinycssloaders","shinythemes","tibble","unmarked","DT","data.table","xlsx","rgenoud","htmltools","bsplus","dplyr","shinycssloaders","rgeos","plyr","shinyjs")
req.packages <- list.of.packages[!(list.of.packages %in% installed.packages()[,"Package"])]
if(length(req.packages)) install.packages(req.packages, dependencies = TRUE)Install and run CEAMEC.
shiny::runGitHub('CEAMEC', 'qt37t247')Please prepare the input files according to the structure of R package unmarked based on survey types:
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Distance sampling: https://cran.r-project.org/web/packages/unmarked/vignettes/distsamp.html
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Repeated count: https://studylib.net/doc/6696451/fitting-royle-s-n-mixture-model-with-package-unmarked-in-...
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Removal sampling: https://rdrr.io/cran/unmarked/man/ovendata.html
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Double observer sampling: https://rdrr.io/cran/unmarked/man/unmarkedFrameMPois.html
Dr. Qian Tang <[email protected]>