Classifies unknown patterns using a previously trained Naïve Bayes classifier.

Trains a Naïve Bayes classifier.

Frees memory allocated to an Imsls_f_nb_classifier data structure.

Retrieves a Naive Bayes Classifier previously filed using imsls_f_nb_clssifier_write.

Writes a Naive Bayes Classifier to an ASCII file for later retrieval using imsls_f_nb_classifier_read.

Performs a Noether’s test for cyclical trend.

Evaluates the noncentral beta cumulative distribution function (CDF).

Evaluates the inverse of the noncentral beta cumulative distribution function (CDF).

Evaluates the noncentral beta probability density function (PDF).

Evaluates the noncentral chi-squared distribution function.

Evaluates the inverse of the noncentral chi-squared function.

Evaluates the noncentral chi-squared probability density function.

Evaluates the noncentral F cumulative distribution function.

Evaluates the inverse of the noncentral F cumulative distribution function.

Evaluates the noncentral F probability density function.

Evaluates the noncentral Student’s t distribution function.

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

Evaluates the noncentral Student's t probability density function.

Fits a nonlinear regression model using Powell's algorithm.

Fits a nonlinear regression model.

Performs nonparametric hazard rate estimation using kernel functions and quasi-likelihoods.

Evaluates the standard normal (Gaussian) distribution function.

Evaluates the inverse of the standard normal (Gaussian) distribution function.

Computes statistics for mean and variance inferences using a sample from a normal population.

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