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. |