Optim.Boot: Run bootsrap on optimized resistance surfaces
In wpeterman/ResistanceOptimization: Optimizes continuous resistance surfaces using CIRCUITSCAPE v4.0 or greater
Description
Usage
Arguments
Value
Author(s)
Description
This function will allow you to run the bootstrap implemented as part of 'Resistance.Optimization' independently
Usage
1
Optim.Boot(boot.iters = 10000, Optim.input, Sample_Proportion = 0.75)
Arguments
Optim.input
This is the object created from running 'Optim.prep'
boot.iters
Number of bootstrap iterations to conduct. Default = 10,000
Sample_Proportion
The proportion of samples to subsample in each bootstrap iteration. Default = 0.75
Value
This function will generate two .csv files.
1) Boot_ModelSelection_Freq.csv will contain the summary of how often a given was the top model
2) Boot_AvgRank_summary.csv will contain the average model rank of each model
Author(s)
Bill Peterman
wpeterman/ResistanceOptimization documentation built on May 4, 2019, 9:48 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value Author(s)
Description
This function will allow you to run the bootstrap implemented as part of 'Resistance.Optimization' independently
Usage
1 | Optim.Boot(boot.iters = 10000, Optim.input, Sample_Proportion = 0.75)
|
Arguments
Optim.input |
This is the object created from running 'Optim.prep' |
boot.iters |
Number of bootstrap iterations to conduct. Default = 10,000 |
Sample_Proportion |
The proportion of samples to subsample in each bootstrap iteration. Default = 0.75 |
Value
This function will generate two .csv files. 1) Boot_ModelSelection_Freq.csv will contain the summary of how often a given was the top model 2) Boot_AvgRank_summary.csv will contain the average model rank of each model
Author(s)
Bill Peterman
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.