Transforms coefficients from a quadratic regression model generated from squares and crossproducts of centered variables to a model using uncentered variables.

Gets today’s date.

Evaluates the Student’s t cumulative distribution function.

Categorizes bivariate data and compute the tetrachoric correlation coefficient.

Computes preliminary estimates of parameters for a univariate transfer function model.

Gets time of day.

Evaluates the inverse of the Student’s t distribution function.

Evaluates the noncentral Student’s t cumulative distribution function.

Evaluates the inverse of the noncentral Student’s t cumulative distribution function.

This function evaluates the noncentral Student's t probability density function.

This function evaluates the Student’s t probability density function.

Prints a binary tree.

Computes Turnbull’s generalized Kaplan‑Meier estimates of survival probabilities in samples with interval censoring.

Detects and determines outliers and simultaneously estimates the model parameters in a time series.

Computes forecasts for an outlier contaminated time series.

Tallies observations into a two‑way frequency table.

Computes statistics for mean and variance inferences using samples from two normal populations.