AΒΆ

Function Purpose Statement
adNormalityTest Performs an Anderson-Darling test for normality.
ancovar Analyzes a one-way classification model with covariates.
anovaBalanced Analyzes a balanced complete experimental design for a fixed, random, or mixed model.
anovaFactorial Analyzes a balanced factorial design with fixed effects.
anovaNested Analyzes a completely nested random model with possibly unequal numbers in the subgroups.
anovaOneway Analyzes a one-way classification model.
apriori Computes the frequent itemsets in a transaction set.
aggrApriori Computes the frequent itemsets in a transaction set using aggregation.
arma Computes least-square estimates of parameters for an ARMA model.
armaForecast Computes forecasts and their associated probability limits for an ARMA model.
autocorrelation Computes the sample autocorrelation function of a stationary time series.
autoArima

Automatically identifies time series outliers, determines parameters of a multiplicative seasonal ARIMA

\[(p,0,q) \times (0,d,0)_s\]

model and produces forecasts that incorporate the effects of outliers whose effects persist beyond the end of the series.

autoParm Estimates structural breaks in non-stationary univariate time series.
autoUniAr Automatic selection and fitting of a univariate autoregressive time series model.