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. |