Last updated on 2026-08-25 06:52:01 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.0-1 | 2.75 | 28.79 | 31.54 | OK | |
| r-devel-linux-x86_64-debian-gcc | 1.0-1 | 2.28 | 22.33 | 24.61 | OK | |
| r-devel-linux-x86_64-fedora-clang | 1.0-1 | 22.03 | OK | |||
| r-devel-linux-x86_64-fedora-gcc | 1.0-1 | 19.79 | OK | |||
| r-devel-windows-x86_64 | 1.0-1 | 5.00 | 57.00 | 62.00 | OK | |
| r-patched-linux-x86_64 | 1.0 | 3.01 | 26.26 | 29.27 | NOTE | |
| r-release-linux-x86_64 | 1.0-1 | 2.72 | 26.14 | 28.86 | OK | |
| r-release-macos-arm64 | 1.0-1 | 1.00 | 11.00 | 12.00 | OK | |
| r-release-macos-x86_64 | 1.0-1 | 2.00 | 32.00 | 34.00 | OK | |
| r-release-windows-x86_64 | 1.0-1 | 5.00 | 45.00 | 50.00 | OK | |
| r-oldrel-macos-arm64 | 1.0-1 | 1.00 | 18.00 | 19.00 | OK | |
| r-oldrel-macos-x86_64 | 1.0-1 | 2.00 | 33.00 | 35.00 | OK | |
| r-oldrel-windows-x86_64 | 1.0-1 | 6.00 | 52.00 | 58.00 | OK |
Version: 1.0
Check: Rd files
Result: NOTE
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}.
| ^
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}.
| ^
Flavor: r-patched-linux-x86_64