Last updated on 2026-04-26 02:49:51 CEST.
| Package | NOTE | OK |
|---|---|---|
| hnp | 12 | |
| jointNmix | 12 |
Current CRAN status: OK: 12
Current CRAN status: NOTE: 12
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}.
| ^
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