jointNmix
Joint N-Mixture Models for Site-Associated Species
v1.0
·
Nov 12, 2016
·
GPL (>= 2)
Description
Fits univariate and joint N-mixture models for data on two unmarked site-associated species. Includes functions to estimate latent abundances through empirical Bayes methods.
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Show all 13 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | NOTE |
| r-devel-linux-x86_64-debian-gcc | NOTE |
| r-devel-linux-x86_64-fedora-clang | NOTE |
| r-devel-linux-x86_64-fedora-gcc | NOTE |
| r-devel-windows-x86_64 | NOTE |
| r-oldrel-macos-arm64 | NOTE |
| r-oldrel-macos-x86_64 | NOTE |
| r-oldrel-windows-x86_64 | NOTE |
| r-patched-linux-x86_64 | NOTE |
| r-release-linux-x86_64 | NOTE |
| r-release-macos-arm64 | NOTE |
| r-release-macos-x86_64 | NOTE |
| r-release-windows-x86_64 | NOTE |
Check details (13 non-OK)
NOTE
r-devel-linux-x86_64-debian-clang
Rd files
checkRd: (-1) jointNmix.Rd:30: Lost braces; missing escapes or markup?
30 | The function fits a bivariate extension to Royle's (2004) N-mixture model to data on the abundance of two species collected at R sites over T time occasions. The model for observation on site i at time t for species 1 can be specified as \deqn{Y_{1it}|N_{1i} ~ Bin(N_{1i},p_{1it})}\deqn{N_{1i} ~ a count distribution with mean \lambda_{1i}.} The model for species 2 is \deqn{Y_{2it}|N_{1i},N_{2i} ~ Bin(N_{2i},p_{2it})}\deqn{N_{2i}|N_{1i} ~ a count distribution with mean \psi+\lambda_{2i}N_{1i}.} Here, users may define a Poisson or negative binomial distribution for the latent abundances N_{1i} and N_{2i}.
|
...[truncated]...
specified as \deqn{Y_{1it}|N_{1i} ~ Bin(N_{1i},p_{1it})}\deqn{N_{1i} ~ a count distribution with mean \lambda_{1i}.} The model for species 2 is \deqn{Y_{2it}|N_{1i},N_{2i} ~ Bin(N_{2i},p_{2it})}\deqn{N_{2i}|N_{1i} ~ a count distribution with mean \psi+\lambda_{2i}N_{1i}.} Here, users may define a Poisson or negative binomial distribution for the latent abundances N_{1i} and N_{2i}.
| ^
NOTE
r-devel-linux-x86_64-debian-gcc
Rd files
checkRd: (-1) jointNmix.Rd:30: Lost braces; missing escapes or markup?
30 | The function fits a bivariate extension to Royle's (2004) N-mixture model to data on the abundance of two species collected at R sites over T time occasions. The model for observation on site i at time t for species 1 can be specified as \deqn{Y_{1it}|N_{1i} ~ Bin(N_{1i},p_{1it})}\deqn{N_{1i} ~ a count distribution with mean \lambda_{1i}.} The model for species 2 is \deqn{Y_{2it}|N_{1i},N_{2i} ~ Bin(N_{2i},p_{2it})}\deqn{N_{2i}|N_{1i} ~ a count distribution with mean \psi+\lambda_{2i}N_{1i}.} Here, users may define a Poisson or negative binomial distribution for the latent abundances N_{1i} and N_{2i}.
|
...[truncated]...
specified as \deqn{Y_{1it}|N_{1i} ~ Bin(N_{1i},p_{1it})}\deqn{N_{1i} ~ a count distribution with mean \lambda_{1i}.} The model for species 2 is \deqn{Y_{2it}|N_{1i},N_{2i} ~ Bin(N_{2i},p_{2it})}\deqn{N_{2i}|N_{1i} ~ a count distribution with mean \psi+\lambda_{2i}N_{1i}.} Here, users may define a Poisson or negative binomial distribution for the latent abundances N_{1i} and N_{2i}.
| ^
NOTE
r-devel-linux-x86_64-fedora-clang
Rd files
checkRd: (-1) jointNmix.Rd:30: Lost braces; missing escapes or markup?
30 | The function fits a bivariate extension to Royle's (2004) N-mixture model to data on the abundance of two species collected at R sites over T time occasions. The model for observation on site i at time t for species 1 can be specified as \deqn{Y_{1it}|N_{1i} ~ Bin(N_{1i},p_{1it})}\deqn{N_{1i} ~ a count distribution with mean \lambda_{1i}.} The model for species 2 is \deqn{Y_{2it}|N_{1i},N_{2i} ~ Bin(N_{2i},p_{2it})}\deqn{N_{2i}|N_{1i} ~ a count distribution with mean \psi+\lambda_{2i}N_{1i}.} Here, users may define a Poisson or negative binomial distribution for the latent abundances N_{1i} and N_{2i}.
|
...[truncated]...
specified as \deqn{Y_{1it}|N_{1i} ~ Bin(N_{1i},p_{1it})}\deqn{N_{1i} ~ a count distribution with mean \lambda_{1i}.} The model for species 2 is \deqn{Y_{2it}|N_{1i},N_{2i} ~ Bin(N_{2i},p_{2it})}\deqn{N_{2i}|N_{1i} ~ a count distribution with mean \psi+\lambda_{2i}N_{1i}.} Here, users may define a Poisson or negative binomial distribution for the latent abundances N_{1i} and N_{2i}.
| ^
NOTE
r-devel-linux-x86_64-fedora-gcc
Rd files
checkRd: (-1) jointNmix.Rd:30: Lost braces; missing escapes or markup?
30 | The function fits a bivariate extension to Royle's (2004) N-mixture model to data on the abundance of two species collected at R sites over T time occasions. The model for observation on site i at time t for species 1 can be specified as \deqn{Y_{1it}|N_{1i} ~ Bin(N_{1i},p_{1it})}\deqn{N_{1i} ~ a count distribution with mean \lambda_{1i}.} The model for species 2 is \deqn{Y_{2it}|N_{1i},N_{2i} ~ Bin(N_{2i},p_{2it})}\deqn{N_{2i}|N_{1i} ~ a count distribution with mean \psi+\lambda_{2i}N_{1i}.} Here, users may define a Poisson or negative binomial distribution for the latent abundances N_{1i} and N_{2i}.
|
...[truncated]...
specified as \deqn{Y_{1it}|N_{1i} ~ Bin(N_{1i},p_{1it})}\deqn{N_{1i} ~ a count distribution with mean \lambda_{1i}.} The model for species 2 is \deqn{Y_{2it}|N_{1i},N_{2i} ~ Bin(N_{2i},p_{2it})}\deqn{N_{2i}|N_{1i} ~ a count distribution with mean \psi+\lambda_{2i}N_{1i}.} Here, users may define a Poisson or negative binomial distribution for the latent abundances N_{1i} and N_{2i}.
| ^
NOTE
r-devel-windows-x86_64
Rd files
checkRd: (-1) jointNmix.Rd:30: Lost braces; missing escapes or markup?
30 | The function fits a bivariate extension to Royle's (2004) N-mixture model to data on the abundance of two species collected at R sites over T time occasions. The model for observation on site i at time t for species 1 can be specified as \deqn{Y_{1it}|N_{1i} ~ Bin(N_{1i},p_{1it})}\deqn{N_{1i} ~ a count distribution with mean \lambda_{1i}.} The model for species 2 is \deqn{Y_{2it}|N_{1i},N_{2i} ~ Bin(N_{2i},p_{2it})}\deqn{N_{2i}|N_{1i} ~ a count distribution with mean \psi+\lambda_{2i}N_{1i}.} Here, users may define a Poisson or negative binomial distribution for the latent abundances N_{1i} and N_{2i}.
|
...[truncated]...
specified as \deqn{Y_{1it}|N_{1i} ~ Bin(N_{1i},p_{1it})}\deqn{N_{1i} ~ a count distribution with mean \lambda_{1i}.} The model for species 2 is \deqn{Y_{2it}|N_{1i},N_{2i} ~ Bin(N_{2i},p_{2it})}\deqn{N_{2i}|N_{1i} ~ a count distribution with mean \psi+\lambda_{2i}N_{1i}.} Here, users may define a Poisson or negative binomial distribution for the latent abundances N_{1i} and N_{2i}.
| ^
NOTE
r-oldrel-macos-arm64
Rd files
checkRd: (-1) jointNmix.Rd:30: Lost braces; missing escapes or markup?
30 | The function fits a bivariate extension to Royle's (2004) N-mixture model to data on the abundance of two species collected at R sites over T time occasions. The model for observation on site i at time t for species 1 can be specified as \deqn{Y_{1it}|N_{1i} ~ Bin(N_{1i},p_{1it})}\deqn{N_{1i} ~ a count distribution with mean \lambda_{1i}.} The model for species 2 is \deqn{Y_{2it}|N_{1i},N_{2i} ~ Bin(N_{2i},p_{2it})}\deqn{N_{2i}|N_{1i} ~ a count distribution with mean \psi+\lambda_{2i}N_{1i}.} Here, users may define a Poisson or negative binomial distribution for the latent abundances N_{1i} and N_{2i}.
|
...[truncated]...
specified as \deqn{Y_{1it}|N_{1i} ~ Bin(N_{1i},p_{1it})}\deqn{N_{1i} ~ a count distribution with mean \lambda_{1i}.} The model for species 2 is \deqn{Y_{2it}|N_{1i},N_{2i} ~ Bin(N_{2i},p_{2it})}\deqn{N_{2i}|N_{1i} ~ a count distribution with mean \psi+\lambda_{2i}N_{1i}.} Here, users may define a Poisson or negative binomial distribution for the latent abundances N_{1i} and N_{2i}.
| ^
NOTE
r-oldrel-macos-x86_64
Rd files
checkRd: (-1) jointNmix.Rd:30: Lost braces; missing escapes or markup?
30 | The function fits a bivariate extension to Royle's (2004) N-mixture model to data on the abundance of two species collected at R sites over T time occasions. The model for observation on site i at time t for species 1 can be specified as \deqn{Y_{1it}|N_{1i} ~ Bin(N_{1i},p_{1it})}\deqn{N_{1i} ~ a count distribution with mean \lambda_{1i}.} The model for species 2 is \deqn{Y_{2it}|N_{1i},N_{2i} ~ Bin(N_{2i},p_{2it})}\deqn{N_{2i}|N_{1i} ~ a count distribution with mean \psi+\lambda_{2i}N_{1i}.} Here, users may define a Poisson or negative binomial distribution for the latent abundances N_{1i} and N_{2i}.
|
...[truncated]...
specified as \deqn{Y_{1it}|N_{1i} ~ Bin(N_{1i},p_{1it})}\deqn{N_{1i} ~ a count distribution with mean \lambda_{1i}.} The model for species 2 is \deqn{Y_{2it}|N_{1i},N_{2i} ~ Bin(N_{2i},p_{2it})}\deqn{N_{2i}|N_{1i} ~ a count distribution with mean \psi+\lambda_{2i}N_{1i}.} Here, users may define a Poisson or negative binomial distribution for the latent abundances N_{1i} and N_{2i}.
| ^
NOTE
r-oldrel-windows-x86_64
Rd files
checkRd: (-1) jointNmix.Rd:30: Lost braces; missing escapes or markup?
30 | The function fits a bivariate extension to Royle's (2004) N-mixture model to data on the abundance of two species collected at R sites over T time occasions. The model for observation on site i at time t for species 1 can be specified as \deqn{Y_{1it}|N_{1i} ~ Bin(N_{1i},p_{1it})}\deqn{N_{1i} ~ a count distribution with mean \lambda_{1i}.} The model for species 2 is \deqn{Y_{2it}|N_{1i},N_{2i} ~ Bin(N_{2i},p_{2it})}\deqn{N_{2i}|N_{1i} ~ a count distribution with mean \psi+\lambda_{2i}N_{1i}.} Here, users may define a Poisson or negative binomial distribution for the latent abundances N_{1i} and N_{2i}.
|
...[truncated]...
specified as \deqn{Y_{1it}|N_{1i} ~ Bin(N_{1i},p_{1it})}\deqn{N_{1i} ~ a count distribution with mean \lambda_{1i}.} The model for species 2 is \deqn{Y_{2it}|N_{1i},N_{2i} ~ Bin(N_{2i},p_{2it})}\deqn{N_{2i}|N_{1i} ~ a count distribution with mean \psi+\lambda_{2i}N_{1i}.} Here, users may define a Poisson or negative binomial distribution for the latent abundances N_{1i} and N_{2i}.
| ^
NOTE
r-patched-linux-x86_64
Rd files
checkRd: (-1) jointNmix.Rd:30: Lost braces; missing escapes or markup?
30 | The function fits a bivariate extension to Royle's (2004) N-mixture model to data on the abundance of two species collected at R sites over T time occasions. The model for observation on site i at time t for species 1 can be specified as \deqn{Y_{1it}|N_{1i} ~ Bin(N_{1i},p_{1it})}\deqn{N_{1i} ~ a count distribution with mean \lambda_{1i}.} The model for species 2 is \deqn{Y_{2it}|N_{1i},N_{2i} ~ Bin(N_{2i},p_{2it})}\deqn{N_{2i}|N_{1i} ~ a count distribution with mean \psi+\lambda_{2i}N_{1i}.} Here, users may define a Poisson or negative binomial distribution for the latent abundances N_{1i} and N_{2i}.
|
...[truncated]...
specified as \deqn{Y_{1it}|N_{1i} ~ Bin(N_{1i},p_{1it})}\deqn{N_{1i} ~ a count distribution with mean \lambda_{1i}.} The model for species 2 is \deqn{Y_{2it}|N_{1i},N_{2i} ~ Bin(N_{2i},p_{2it})}\deqn{N_{2i}|N_{1i} ~ a count distribution with mean \psi+\lambda_{2i}N_{1i}.} Here, users may define a Poisson or negative binomial distribution for the latent abundances N_{1i} and N_{2i}.
| ^
NOTE
r-release-linux-x86_64
Rd files
checkRd: (-1) jointNmix.Rd:30: Lost braces; missing escapes or markup?
30 | The function fits a bivariate extension to Royle's (2004) N-mixture model to data on the abundance of two species collected at R sites over T time occasions. The model for observation on site i at time t for species 1 can be specified as \deqn{Y_{1it}|N_{1i} ~ Bin(N_{1i},p_{1it})}\deqn{N_{1i} ~ a count distribution with mean \lambda_{1i}.} The model for species 2 is \deqn{Y_{2it}|N_{1i},N_{2i} ~ Bin(N_{2i},p_{2it})}\deqn{N_{2i}|N_{1i} ~ a count distribution with mean \psi+\lambda_{2i}N_{1i}.} Here, users may define a Poisson or negative binomial distribution for the latent abundances N_{1i} and N_{2i}.
|
...[truncated]...
specified as \deqn{Y_{1it}|N_{1i} ~ Bin(N_{1i},p_{1it})}\deqn{N_{1i} ~ a count distribution with mean \lambda_{1i}.} The model for species 2 is \deqn{Y_{2it}|N_{1i},N_{2i} ~ Bin(N_{2i},p_{2it})}\deqn{N_{2i}|N_{1i} ~ a count distribution with mean \psi+\lambda_{2i}N_{1i}.} Here, users may define a Poisson or negative binomial distribution for the latent abundances N_{1i} and N_{2i}.
| ^
NOTE
r-release-macos-arm64
Rd files
checkRd: (-1) jointNmix.Rd:30: Lost braces; missing escapes or markup?
30 | The function fits a bivariate extension to Royle's (2004) N-mixture model to data on the abundance of two species collected at R sites over T time occasions. The model for observation on site i at time t for species 1 can be specified as \deqn{Y_{1it}|N_{1i} ~ Bin(N_{1i},p_{1it})}\deqn{N_{1i} ~ a count distribution with mean \lambda_{1i}.} The model for species 2 is \deqn{Y_{2it}|N_{1i},N_{2i} ~ Bin(N_{2i},p_{2it})}\deqn{N_{2i}|N_{1i} ~ a count distribution with mean \psi+\lambda_{2i}N_{1i}.} Here, users may define a Poisson or negative binomial distribution for the latent abundances N_{1i} and N_{2i}.
|
...[truncated]...
specified as \deqn{Y_{1it}|N_{1i} ~ Bin(N_{1i},p_{1it})}\deqn{N_{1i} ~ a count distribution with mean \lambda_{1i}.} The model for species 2 is \deqn{Y_{2it}|N_{1i},N_{2i} ~ Bin(N_{2i},p_{2it})}\deqn{N_{2i}|N_{1i} ~ a count distribution with mean \psi+\lambda_{2i}N_{1i}.} Here, users may define a Poisson or negative binomial distribution for the latent abundances N_{1i} and N_{2i}.
| ^
NOTE
r-release-macos-x86_64
Rd files
checkRd: (-1) jointNmix.Rd:30: Lost braces; missing escapes or markup?
30 | The function fits a bivariate extension to Royle's (2004) N-mixture model to data on the abundance of two species collected at R sites over T time occasions. The model for observation on site i at time t for species 1 can be specified as \deqn{Y_{1it}|N_{1i} ~ Bin(N_{1i},p_{1it})}\deqn{N_{1i} ~ a count distribution with mean \lambda_{1i}.} The model for species 2 is \deqn{Y_{2it}|N_{1i},N_{2i} ~ Bin(N_{2i},p_{2it})}\deqn{N_{2i}|N_{1i} ~ a count distribution with mean \psi+\lambda_{2i}N_{1i}.} Here, users may define a Poisson or negative binomial distribution for the latent abundances N_{1i} and N_{2i}.
|
...[truncated]...
specified as \deqn{Y_{1it}|N_{1i} ~ Bin(N_{1i},p_{1it})}\deqn{N_{1i} ~ a count distribution with mean \lambda_{1i}.} The model for species 2 is \deqn{Y_{2it}|N_{1i},N_{2i} ~ Bin(N_{2i},p_{2it})}\deqn{N_{2i}|N_{1i} ~ a count distribution with mean \psi+\lambda_{2i}N_{1i}.} Here, users may define a Poisson or negative binomial distribution for the latent abundances N_{1i} and N_{2i}.
| ^
NOTE
r-release-windows-x86_64
Rd files
checkRd: (-1) jointNmix.Rd:30: Lost braces; missing escapes or markup?
30 | The function fits a bivariate extension to Royle's (2004) N-mixture model to data on the abundance of two species collected at R sites over T time occasions. The model for observation on site i at time t for species 1 can be specified as \deqn{Y_{1it}|N_{1i} ~ Bin(N_{1i},p_{1it})}\deqn{N_{1i} ~ a count distribution with mean \lambda_{1i}.} The model for species 2 is \deqn{Y_{2it}|N_{1i},N_{2i} ~ Bin(N_{2i},p_{2it})}\deqn{N_{2i}|N_{1i} ~ a count distribution with mean \psi+\lambda_{2i}N_{1i}.} Here, users may define a Poisson or negative binomial distribution for the latent abundances N_{1i} and N_{2i}.
|
...[truncated]...
specified as \deqn{Y_{1it}|N_{1i} ~ Bin(N_{1i},p_{1it})}\deqn{N_{1i} ~ a count distribution with mean \lambda_{1i}.} The model for species 2 is \deqn{Y_{2it}|N_{1i},N_{2i} ~ Bin(N_{2i},p_{2it})}\deqn{N_{2i}|N_{1i} ~ a count distribution with mean \psi+\lambda_{2i}N_{1i}.} Here, users may define a Poisson or negative binomial distribution for the latent abundances N_{1i} and N_{2i}.
| ^
Check History
NOTE 0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE
r-devel-linux-x86_64-debian-clang
Rd files
checkRd: (-1) jointNmix.Rd:30: Lost braces; missing escapes or markup?
30 | The function fits a bivariate extension to Royle's (2004) N-mixture model to data on the abundance of two species collected at R sites over T time occasions. The model fo
...[truncated]...
^
NOTE
r-devel-linux-x86_64-debian-gcc
Rd files
checkRd: (-1) jointNmix.Rd:30: Lost braces; missing escapes or markup?
30 | The function fits a bivariate extension to Royle's (2004) N-mixture model to data on the abundance of two species collected at R sites over T time occasions. The model fo
...[truncated]...
^
NOTE
r-devel-linux-x86_64-fedora-clang
Rd files
checkRd: (-1) jointNmix.Rd:30: Lost braces; missing escapes or markup?
30 | The function fits a bivariate extension to Royle's (2004) N-mixture model to data on the abundance of two species collected at R sites over T time occasions. The model fo
...[truncated]...
^
NOTE
r-devel-linux-x86_64-fedora-gcc
Rd files
checkRd: (-1) jointNmix.Rd:30: Lost braces; missing escapes or markup?
30 | The function fits a bivariate extension to Royle's (2004) N-mixture model to data on the abundance of two species collected at R sites over T time occasions. The model fo
...[truncated]...
^
NOTE
r-devel-macos-arm64
Rd files
checkRd: (-1) jointNmix.Rd:30: Lost braces; missing escapes or markup?
30 | The function fits a bivariate extension to Royle's (2004) N-mixture model to data on the abundance of two species collected at R sites over T time occasions. The model fo
...[truncated]...
^
NOTE
r-devel-windows-x86_64
Rd files
checkRd: (-1) jointNmix.Rd:30: Lost braces; missing escapes or markup?
30 | The function fits a bivariate extension to Royle's (2004) N-mixture model to data on the abundance of two species collected at R sites over T time occasions. The model fo
...[truncated]...
^
NOTE
r-patched-linux-x86_64
Rd files
checkRd: (-1) jointNmix.Rd:30: Lost braces; missing escapes or markup?
30 | The function fits a bivariate extension to Royle's (2004) N-mixture model to data on the abundance of two species collected at R sites over T time occasions. The model fo
...[truncated]...
^
NOTE
r-release-linux-x86_64
Rd files
checkRd: (-1) jointNmix.Rd:30: Lost braces; missing escapes or markup?
30 | The function fits a bivariate extension to Royle's (2004) N-mixture model to data on the abundance of two species collected at R sites over T time occasions. The model fo
...[truncated]...
^
NOTE
r-release-macos-arm64
Rd files
checkRd: (-1) jointNmix.Rd:30: Lost braces; missing escapes or markup?
30 | The function fits a bivariate extension to Royle's (2004) N-mixture model to data on the abundance of two species collected at R sites over T time occasions. The model fo
...[truncated]...
^
NOTE
r-release-macos-x86_64
Rd files
checkRd: (-1) jointNmix.Rd:30: Lost braces; missing escapes or markup?
30 | The function fits a bivariate extension to Royle's (2004) N-mixture model to data on the abundance of two species collected at R sites over T time occasions. The model fo
...[truncated]...
^
NOTE
r-release-windows-x86_64
Rd files
checkRd: (-1) jointNmix.Rd:30: Lost braces; missing escapes or markup?
30 | The function fits a bivariate extension to Royle's (2004) N-mixture model to data on the abundance of two species collected at R sites over T time occasions. The model fo
...[truncated]...
^
NOTE
r-oldrel-macos-arm64
Rd files
checkRd: (-1) jointNmix.Rd:30: Lost braces; missing escapes or markup?
30 | The function fits a bivariate extension to Royle's (2004) N-mixture model to data on the abundance of two species collected at R sites over T time occasions. The model fo
...[truncated]...
^
NOTE
r-oldrel-macos-x86_64
Rd files
checkRd: (-1) jointNmix.Rd:30: Lost braces; missing escapes or markup?
30 | The function fits a bivariate extension to Royle's (2004) N-mixture model to data on the abundance of two species collected at R sites over T time occasions. The model fo
...[truncated]...
^
NOTE
r-oldrel-windows-x86_64
Rd files
checkRd: (-1) jointNmix.Rd:30: Lost braces; missing escapes or markup?
30 | The function fits a bivariate extension to Royle's (2004) N-mixture model to data on the abundance of two species collected at R sites over T time occasions. The model fo
...[truncated]...
^
Code
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Version History
1 tracked
new
1.0
Mar 10, 2026
R Observatory began tracking this package on Mar 10, 2026; it first appeared on CRAN Nov 12, 2016. Releases before tracking aren’t shown.