EbirdData: Training and Test sets for Multispecies Ebird data

In Megatvini/VIM: Variable Importance Measures for Multivariate Random Forests

Training and Test sets for Multispecies Ebird data

Description

Training and Test sets for Multispecies Ebird data

Usage

EbirdData

Format

List containing

trainX,testX1

data frames containing covariates for training (14037 by 87) and test (500 by 87) sets for the Ebird data.

trainY,testY1

data frames containing responses for training(14037 by 6) and test (500 by 6) of counts observed for each of 5 species.

Note that column 'X' is a row identifier that can be used to match responses to covariates in each case.

Source

Sikdar, Sharmistha, Giles Hooker, and Vrinda Kadiyali. "Variable importance measures for variable selection and statistical inference in multivariate random forests." (2023).

Megatvini/VIM documentation built on Sept. 13, 2024, 10:01 p.m.