Datasetsfor Categorical Data Analysis by Agresti
Datasets used in the book "Categorical Data Analysis"
by Agresti (2012, ISBN:978-0-470-46363-5) but not printed in the book.
Datasets and help pages were automatically produced from the source
<http://www.stat.ufl.edu/~aa/cda/data.html> by the R script foo.R,
which can be found in the GitHub repository.

Datasets for Categorical Data Analysis by Agresti
Datasets used in the book "Categorical Data Analysis"
by Agresti (2012, ISBN:978-0-470-46363-5) but not printed in the book.
Datasets and help pages were automatically produced from the source
<https://users.stat.ufl.edu/~aa/cda/data.html> by the R script foo.R,
which can be found in the GitHub repository.

Fishery Stock Assessment by Catch Dynamic Models
Ruben H. Roa Ureta <ruben.roa.ureta@gmail.com>
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
data.

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.

Fishery Stock Assessment by Generalized Depletion Models
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.