birds

Environmental variables and bird counts for identifying
  suitable bird habitats

datasets

Functional gradient descent algorithms (boosting) for
        optimizing general loss functions utilizing componentwise least
        squares, either of parametric linear form or smoothing splines,
        or regression trees as base learners for fitting generalized
        linear, additive and interaction models to potentially
        high-dimensional data.

Torsten Hothorn

mboost

Model-Based Boosting

birds function

Joerg Mueller (2005).
 Forest structures as key factor for beetle and bird communities 
 in beech forests. PhD thesis, Munich University of Technology.
 <url>http://mediatum.ub.tum.de</url>-

birds: Habitat Suitability for Breeding Bird Communities

Description

Usage

Arguments

source

Details

References