T
Function
Purpose Statement
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.