object
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an object inheriting from class gls , representing
a generalized least squares fitted model.
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maxLag
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an optional integer giving the maximum lag for which the
autocorrelation should be calculated. Defaults to maximum lag in the
residuals.
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resType
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an optional character string specifying the type of
residuals to be used. If "response" , the "raw" residuals
(observed - fitted) are used; else, if "pearson" , the
standardized residuals (raw residuals divided by the corresponding
standard errors) are used; else, if "normalized" , the
normalized residuals (standardized residuals pre-multiplied by the
inverse square-root factor of the estimated error correlation
matrix) are used. Partial matching of arguments is used, so only the
first character needs to be provided. Defaults to "pearson" .
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form
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an optional one sided formula of the form ~ t , or
~ t | g , specifying a time covariate t and, optionally, a
grouping factor g . The time covariate must be integer
valued. When a grouping factor is present in
form , the autocorrelations are calculated using residual pairs
within the same group. Defaults to ~ 1 , which corresponds to
using the order of the observations in the data as a covariate, and
no groups.
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na.action
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a function that indicates what should happen when the
data contain NA s. The default action (na.fail ) causes
ACF.gls to print an error message and terminate if there are any
incomplete observations.
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