Man pages for SimonDedman/gbm.auto
Automated Boosted Regression Tree Modelling and Mapping Suite
| Adult_Females | Data: Numbers of 4 adult female rays caught in 2137 Irish Sea... |
| AllPreds_E | Data: Predicted abundances of 4 ray species generated using... |
| AllScaledData | Data: Scaled abundance data for 2 subsets of 4 rays in the... |
| breaks.grid | Defines breakpoints for draw.grid and legend.grid; mapplots... |
| calibration | calibration |
| gbm.auto | Automated Boosted Regression Tree modelling and mapping suite |
| gbm.auto-package | gbm.auto: Automated Boosted Regression Tree Modelling and... |
| 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... |
| gbm.lmplots | Plot linear models for all expvar against the resvar |
| gbm.loop | Calculate Coefficient Of Variation surfaces for gbm.auto... |
| gbm.map | Maps of predicted abundance from Boosted Regression Tree... |
| gbm.mapsf | Maps of predicted abundance from Boosted Regression Tree... |
| gbm.rsb | Representativeness Surface Builder |
| gbm.step.sd | Function to assess optimal no of boosting trees using k-fold... |
| gbm.subset | Subset gbm.auto input datasets to 2 groups using the partial... |
| gbm.valuemap | Decision Support Tool that generates (Marine) Protected Area... |
| grids | Data: Explanatory variables for rays in the Irish Sea |
| Juveniles | Data: Explanatory and response variables for 4 juvenile rays... |
| lmplot | Plot linear model for two variables with R2 & P printed and... |
| roc | roc |
| samples | Data: Numbers of 4 ray species caught in 2137 Irish Sea... |
