A


Function	Purpose Statement
ad_normality_test	Performs an Anderson-Darling test for normality.
ancovar	Analyzes a one-way classification model with covariates.
anova_balanced	Analyzes a balanced complete experimental design for a fixed, random, or mixed model.
anova_factorial	Analyzes a balanced factorial design with fixed effects.
anova_nested	Analyzes a completely nested random model with possibly unequal numbers in the subgroups.
anova_oneway	Analyzes a one-way classification model.
apriori	Computes the frequent itemsets in a transaction set.
aggr_apriori	Computes the frequent itemsets in a transaction set using aggregation.
arma	Computes least-square estimates of parameters for an ARMA model.
arma_forecast	Computes forecasts and their associated probability limits for an ARMA model.
ascii_read	Reads freely-formatted ASCII files.
autocorrelation	Computes the sample autocorrelation function of a stationary time series.
auto_arima	Automatically identifies time series outliers, determines parameters of a multiplicative seasonal ARIMA model and produces forecasts that incorporate the effects of outliers whose effects persist beyond the end of the series.
auto_parm	Estimates structural breaks in non-stationary univariate time series.
auto_uni_ar	Automatic selection and fitting of a univariate autoregressive time series model.