Title: Fishery Stock Assessment by Catch Dynamics 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 100 types of models of increasing complexity, and 72 likelihood models for the data.

Title: Encoders for Categorical Variables
Description: Contains some commonly used categorical variable encoders, such as 'LabelEncoder' and 'OneHotEncoder'. Inspired by the encoders implemented in python 'sklearn.preprocessing' package (see <http://scikit-learn.org/stable/modules/preprocessing.html>).
Imports: Matrix (>= 1.2-6), data.table (>= 1.9.6), methods

Description: Contains some commonly used categorical variable encoders, such as 'LabelEncoder' and 'OneHotEncoder'. Inspired by the encoders implemented in Python 'sklearn.preprocessing' package (see <http://scikit-learn.org/stable/modules/preprocessing.html>).

Title: Optimal Categorisation of Continuous Variables in Prediction
person("Irantzu Barrio", email = "irantzu.barrio@ehu.eus", role = c("aut", "cre")),
person("Maria Xose Rodriguez-Alvarez", role = "aut"),
person("Inmaculada Arostegui", role = "ctb"))
Imports: survival, rms, CPE, rgenoud, mgcv, stats, graphics
Description: Allows the user to categorise a continuous predictor variable in a logistic or a Cox proportional hazards regression setting, by maximising the discriminative ability of the model. I Barrio, I Arostegui, MX Rodriguez-Alvarez, JM Quintana (2015) <doi:10.1177/0962280215601873>. I Barrio,  MX Rodriguez-Alvarez, L Meira-Machado, C Esteban, I Arostegui (2017) <https://www.idescat.cat/sort/sort411/41.1.3.barrio-etal.pdf>.
Packaged: 2017-10-09 13:51:41 UTC; erabiltzailea