| Adult_Females |
Data: Numbers of 4 adult female rays caught in 2137 Irish Sea trawls, 1994 to 2014 |
| AllPreds_E |
Data: Predicted abundances of 4 ray species generated using gbm.auto |
| AllScaledData |
Data: Scaled abundance data for 2 subsets of 4 rays in the Irish Sea, by gbm.cons |
| breaks.grid |
Defines breakpoints for draw.grid and legend.grid; mapplots fork |
| calibration |
calibration |
| gbm.auto |
Automated Boosted Regression Tree modelling and mapping suite |
| gbm.basemap |
Creates Basemaps for Gbm.auto mapping from your data range |
| gbm.bfcheck |
Calculates minimum Bag Fraction size for gbm.auto |
| gbm.cons |
Conservation Area Mapping |
| gbm.factorplot |
Creates ggplots of marginal effect for factorial variables from plot.gbm in gbm.auto. |
| gbm.lmplots |
Plot linear models for all expvar against the resvar |
| gbm.loop |
Calculate Coefficient Of Variation surfaces for gbm.auto predictions |
| gbm.map |
Maps of predicted abundance from Boosted Regression Tree modelling |
| gbm.mapsf |
Maps of predicted abundance from Boosted Regression Tree modelling |
| gbm.rsb |
Representativeness Surface Builder |
| gbm.step.sd |
Function to assess optimal no of boosting trees using k-fold cross validation |
| gbm.subset |
Subset gbm.auto input datasets to 2 groups using the partial deviance plots |
| gbm.valuemap |
Decision Support Tool that generates (Marine) Protected Area options using species predicted abundance maps |
| grids |
Data: Explanatory variables for rays in the Irish Sea |
| Juveniles |
Data: Explanatory and response variables for 4 juvenile rays in the Irish Sea |
| lmplot |
Plot linear model for two variables with R2 & P printed and saved |
| roc |
roc |
| samples |
Data: Numbers of 4 ray species caught in 2137 Irish Sea trawls, 1994 to 2014 |
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