| Function |
Purpose
Statement |
| naiveBayesClassification |
Classifies unknown
patterns using a
previously trained
Naïve Bayes classifier. |
| naiveBayesTrainer |
Trains a Naïve Bayes
classifier. |
| nbClassifierFree |
Frees memory allocated
to an
Imsls_d_nb_classifier
data structure. |
| nbClassifierRead |
Retrieves a Naive Bayes
Classifier previously
filed using
nbClassifierWrite. |
| nbClassifierWrite |
Writes a Naive Bayes
Classifier to an ASCII
file for later
retrieval using
nbClassifierRead. |
| noetherCyclicalTrend |
Performs a Noether’s
test for cyclical
trend. |
| nonCentralBetaCdf |
Evaluates the
noncentral beta
cumulative distribution
function (CDF). |
| nonCentralBetaInverseCdf |
Evaluates the inverse
of the noncentral beta
cumulative distribution
function (CDF). |
| nonCentralBetaPdf |
Evaluates the
noncentral beta
probability density
function (PDF). |
| nonCentralChiSq |
Evaluates the
noncentral chi-squared
distribution function. |
| nonCentralChiSqInv |
Evaluates the inverse
of the noncentral
chi-squared function. |
| nonCentralChiSqPdf |
Evaluates the
noncentral chi-squared
probability density
function. |
| nonCentralFCdf |
Evaluates the
noncentral F
cumulative distribution
function. |
| nonCentralFInverseCdf |
Evaluates the inverse
of the noncentral F
cumulative distribution
function. |
| nonCentralFPdf |
Evaluates the
noncentral F
probability density
function. |
| nonCentralTCdf |
Evaluates the
noncentral Student’s
t distribution
function. |
| nonCentralTInvCdf |
Evaluates the inverse
of the noncentral
Student’s t
distribution function. |
| nonCentralTPdf |
Evaluates the
noncentral Student’s
t probability density
function. |
| nonlinearOptimization |
Fits a nonlinear
regression model using
Powell’s algorithm. |
| nonlinearRegression |
Fits a nonlinear
regression model. |
| nonparamHazardRate |
Performs nonparametric
hazard rate estimation
using kernel functions
and quasi-likelihoods. |
| normalCdf |
Evaluates the standard
normal (Gaussian)
distribution function. |
| normalInverseCdf |
Evaluates the inverse
of the standard normal
(Gaussian) distribution
function. |
| normalOneSample |
Computes statistics for
mean and variance
inferences using a
sample from a normal
population. |
| normalTwoSample |
Computes statistics for
mean and variance
inferences using
samples from two normal
populations. |