Title: Datasets for Categorical Data Analysis by Agresti
<https://users.stat.ufl.edu/~aa/cda/data.html> by the R script foo.R,

Title: Fishery Stock Assessment by Catch Dynamic Models
Maintainer: Ruben H. Roa Ureta <ruben.roa.ureta@gmail.com>
Description: Using catch in biomass, fishing effort, and mean body mass
by time step, estimate stock abundance, natural mortality rate,
and fishing operational parameters. It includes methods for
plotting standard exploratory and analytical plots and to
pre-process data, five types of catch dynamics models of
increasing complexity, and two distributions for the catch

Maintainer: Ruben H. Roa-Ureta <ruben.roa.ureta@mail.com>
Description: Using high-frequency or medium-frequency catch in biomass or numbers, fishing nominal effort, and mean body mass by time step, from one or two fishing fleets, estimate stock abundance, natural mortality rate, and fishing operational parameters. It includes methods for data organization, plotting standard exploratory and analytical plots, predictions, for 57 types of catch dynamics models of increasing complexity, and two distributions for the catch data.

Title: Fishery Stock Assessment by Generalized Depletion Models
Description: Using high-frequency or medium-frequency catch in biomass or numbers, fishing nominal effort, and mean body weight by time step, from one or two fishing fleets, estimate stock abundance, natural mortality rate, and fishing operational parameters. It includes methods for data organization, plotting standard exploratory and analytical plots, predictions, for 237 types of models of increasing complexity, and six likelihood models.

Description: Based on fishery Catch Dynamics instead of fish Population Dynamics (hence CatDyn) and using high-frequency or medium-frequency catch in biomass or numbers, fishing nominal effort, and mean fish body weight by time step, from one or two fishing fleets, estimate stock abundance, natural mortality rate, and fishing operational parameters. It includes methods for data organization, plotting standard exploratory and analytical plots, predictions, for 77 types of models of increasing complexity, and 56 likelihood models for the data.