asus.cuts {asus} | R Documentation |

## Risk of asus with pre-defined grouping thresholds

### Description

Estimates the risk of asus when there are k(>2) groups with pre-defined grouping thresholds

### Usage

```
asus.cuts(d, v.d, s, cutpoints)
```

### Arguments

`d` |
an n vector of primary observations |

`v.d` |
an n vector of variances for each component of d |

`s` |
an n vector of side information |

`cutpoints` |
k-1 pre-defined grouping thresholds for k groups. k must be bigger than 2. |

### Details

Estimates the risk of asus when there are k(>2) groups
with k pre-defined grouping thresholds. This function is called when `asus`

executes.

### Value

mse - estimate of risk

### References

Banerjee. T, Mukherjee. G and Sun. W. Adaptive Sparse Estimation with Side Information. Journal of the American Statistical Association 115, no. 532 (2020): 2053-2067.

### See Also

`asus`

,`sureshrink`

,`ejs`

,`sureshrink.mse`

### Examples

```
library(asus)
set.seed(42)
d<-rnorm(10)
v.d<- rep(1,10)
set.seed(42)
s<-rnorm(10)
out<-asus.cuts(d,v.d,s,c(0.1,0.5,1))
```

[Package

*asus*version 1.5.0 Index]