residualStats {dse} R Documentation

## Calculate Residuals Statistics and Likelihood

### Description

Calculate the residuals statistics and likelihood of a residual.

### Usage

    residualStats(pred, data, sampleT=nrow(pred), warn=TRUE)

### Arguments

 pred A matrix with columns representing time series. data A matrix with columns representing time series. sampleT An integer indicating the sample to use. warn If FALSE certain warnings are suppressed.

### Details

Residuals are calculated as pred[1:sampleT,,drop=FALSE] - data[1:sampleT,,drop=FALSE] and then statistics are calculated based on these residuals. If pred or data are NULL they are treated as zero.

### Value

A list with elements like, cov, pred, and sampleT. pred and sampleT are as supplied (and are returned as this is a utility function called by other functions and it is convenient to pass them along). cov is the covariance of the residual and like is a vector of four elements representing the total, constant, determinant and covariance terms of the negative log likelihood function.

l
    residualStats(matrix(rnorm(200), 100,2), NULL) # but typically used for a residual