https://github.com/mhuiying/scp

R Package for Spatial Conformal Prediction
https://github.com/mhuiying/scp

Last synced: about 2 months ago
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R Package for Spatial Conformal Prediction

• Host: GitHub
• URL: https://github.com/mhuiying/scp
• Owner: mhuiying
• License: gpl-3.0
• Created: 2020-04-04T19:09:20.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2022-08-06T00:59:27.000Z (about 2 years ago)
• Last Synced: 2024-02-13T08:04:57.758Z (7 months ago)
• Language: R
• Homepage:
• Size: 106 MB
• Stars: 6
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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• awesome-conformal-prediction - R Package for Spatial Conformal Prediction

README

        


# R Package for Spatial Conformal Prediction

The goal of “scp” is to provide valid model-free spatial prediction

intervals.

## Installation

The current development version can be installed from source using

devtools.

``` r

devtools::install_github("mhuiying/scp", build_vignettes = TRUE)

```

## Example

``` r

library(scp)

# an example sample data

data('sample_data')

s  = sample_data$s

Y  = sample_data$Y

# locations to predict

s0  = c(0.5,0.5)

s0s = rbind(c(0.4, 0.4), c(0.5,0.5), c(0.6, 0.6))

# default prediction interval

scp(s0=s0,s=s,Y=Y)

scp(s0=s0s,s=s,Y=Y)

# user define eta=0.1, where LSCP is considered

scp(s0=s0,s=s,Y=Y,eta=0.1)

# user define non-conformity measure

scp(s0=s0,s=s,Y=Y,dfun="std_residual2")

# user define prediction function

fun = function(s0,s,Y) return(mean(Y))

scp(s0=s0,s=s,Y=Y,pred_fun=fun)

```

Want more example, please check our `vignettes`.

``` r

browseVignettes('scp')

```

## References

Mao, Huiying, Ryan Martin, and Brian Reich. **Valid model-free spatial

prediction**, 2020. [\[arxiv\]](https://arxiv.org/pdf/2006.15640.pdf)