mse: Calculate mean square error
In ChubingZeng/classo: Regularized Regression with Differential Penalties Integrating External Information

mse calculate mean square error (MSE) between prediction values and true values

1	mse(pred, true)

`pred`	Prediction values vector
`true`	Actual values vector

mean square error

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Y1 <- rnorm(10,0,1)
Y2 <- rnorm(10,0,1)
mse(Y1,Y2)

ChubingZeng/classo documentation built on June 4, 2019, 12:37 p.m.

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