combineDistn.fn: A simple way to sample from multiple models with no...
In allanhicks/Ensemble: Functions for working with and combining ensemble models
combineDistn.fn R Documentation
A simple way to sample from multiple models with no correlation between parameters
Description
A simple way to sample from multiple models with no correlation between parameters
Usage
combineDistn.fn(totSamps, means, stds, wts = 1)
Arguments
totSamps
Total number of samples across all models
means
The means of the parameter for each model
stds
The standard deviations of the parameter for each model
wts
The weight for each model. A single value is equal weighting. Standardized to 1.
allanhicks/Ensemble documentation built on Feb. 16, 2024, 1:37 a.m.
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| combineDistn.fn | R Documentation |
A simple way to sample from multiple models with no correlation between parameters
Description
A simple way to sample from multiple models with no correlation between parameters
Usage
combineDistn.fn(totSamps, means, stds, wts = 1)
Arguments
totSamps |
Total number of samples across all models |
means |
The means of the parameter for each model |
stds |
The standard deviations of the parameter for each model |
wts |
The weight for each model. A single value is equal weighting. Standardized to 1. |
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.
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