rGAI: rGAI: Generalised Abundance Index fitting for seasonal...
In calliste-fagard-jenkin/GAI: Generalised Abundance Index for Seasonal Invertibrates
rGAI R Documentation
rGAI: Generalised Abundance Index fitting for seasonal invertibrates, with
covariates
Description
Fitting of the GAI from Dennis et al (2016), with normal mixture, stopover
and spline-based seasonal trend models, as well as poisson, negative binomial
and zero-inflated count models. Covariates can be fitted to mean brood
arrival time, mean brood dispersion and the proportion of the population
which finds itself in each brood. The package slightly extends the
supplementary materials of the paper to provide flexible model-fitting
options and covariate inclusion.
Details
The package should be used through the fit_GAI function.
Options should be specified to give more detail of the model being fitted.
Bootstraps can be used to produce confidence interval estimates of the
abundance index and parameter values.
Author(s)
C. Fagard-Jenkin, based on work by E. Dennis, et al.
calliste-fagard-jenkin/GAI documentation built on July 26, 2022, 11:20 a.m.
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| rGAI | R Documentation |
rGAI: Generalised Abundance Index fitting for seasonal invertibrates, with covariates
Description
Fitting of the GAI from Dennis et al (2016), with normal mixture, stopover and spline-based seasonal trend models, as well as poisson, negative binomial and zero-inflated count models. Covariates can be fitted to mean brood arrival time, mean brood dispersion and the proportion of the population which finds itself in each brood. The package slightly extends the supplementary materials of the paper to provide flexible model-fitting options and covariate inclusion.
Details
The package should be used through the fit_GAI function. Options should be specified to give more detail of the model being fitted. Bootstraps can be used to produce confidence interval estimates of the abundance index and parameter values.
Author(s)
C. Fagard-Jenkin, based on work by E. Dennis, et al.
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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