makeBootCIs: Calculate percentile confidence intervals from a matrix of...
In lindesaysh/MRSea: Spatially adaptive regression splines using SALSA
makeBootCIs R Documentation
Calculate percentile confidence intervals from a matrix of bootstrapped predictions
Description
Calculate percentile confidence intervals from a matrix of bootstrapped predictions
Usage
makeBootCIs(preds, quants = c(0.025, 0.975))
Arguments
preds
matrix of bootstrap predictions where each column is a bootstrap realisation
quants
(default = c(0.025, 0.975). Vector of length two of quantiles.
Examples
## Not run:
makeBootCIs(bootPreds)
## End(Not run)
lindesaysh/MRSea documentation built on April 5, 2024, 4:39 p.m.
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| makeBootCIs | R Documentation |
Calculate percentile confidence intervals from a matrix of bootstrapped predictions
Description
Calculate percentile confidence intervals from a matrix of bootstrapped predictions
Usage
makeBootCIs(preds, quants = c(0.025, 0.975))
Arguments
preds |
matrix of bootstrap predictions where each column is a bootstrap realisation |
quants |
( |
Examples
## Not run:
makeBootCIs(bootPreds)
## End(Not run)
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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