Enter the unit for catch data in the field above, e.g. "Tonnes".
If you do not enter a month, it will be assumed to be at the beginning of the year. Leave all values blank if you do not have an appropriate index
If you do not enter a month, it will be assumed to be at the beginning of the year. Leave all values blank if you do not have an appropriate index
If you do not enter a month, it will be assumed to be at the beginning of the year. Leave all values blank if you do not have an appropriate index
If you do not enter a month, it will be assumed to be at the beginning of the year. Leave all values blank if you do not have an appropriate index
Based on the spict guidelines documentation
The assessment converged (fit$opt$convergence equals 0).
All variance parameters of the model parameters are finite (all(is.finite(fit$sd)) should be TRUE).
No violation of model assumptions based on one-step-ahead residuals (bias, auto-correlation, normality). This means, that p-values are insignificant (> 0.05), indicated by green titles in the graphs of spictplot.diagnostic(fit). Slight violations of these assumptions do not necessarily invalidate model results.
Please note that this is a preliminary checklist, you should consult the SPiCt guidelines documentation for a full list of requirements to check.
Manual for the Stochastic Production model in Continuous Time (SPiCT)
Mildenberger, Tobias K, Casper W Berg, Martin W Pedersen, Alexandros Kokkalis, and J Rasmus Nielsen. 2019. "Time-variant productivity in biomass dynamic models on seasonal and long-term scales." ICES Journal of Marine Science, September. https://doi.org/10.1093/icesjms/fsz154
Pedersen, Martin W., and Casper W. Berg. 2017. "A stochastic surplus production model in continuous time." Fish and Fisheries 18 (2): 226–43. https://doi.org/10.1111/faf.12174