# compute.mse

From mobForest v1.3.1
by Kasey Jones

##### Predictive accuracy estimates (MSE) across trees for linear or poisson regression model.

Predictive accuracy estimates (MSE) across trees for linear or poisson regression model.

##### Usage

`compute.mse(response, predictions)`

##### Arguments

- response
A vector of actual response of outcome variable.

- predictions
A vector of predicted response for the same outcome variable.

##### Value

MSE estimates

##### Examples

```
# NOT RUN {
# The MSE should be 2.5. Off by 2 half the time, off by 1 the other half
response <- matrix(c(rep(0,100), rep(10,100)))
predictions <-
matrix(nrow=20, ncol = 3,
data = c(rep(1,100), rep(8,100), rep(1,100), rep(8,100),
rep(1,100), rep(8,100)))
compute.mse(response, predictions)
# }
```

*Documentation reproduced from package mobForest, version 1.3.1, License: GPL (>= 2)*

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