da: internal da

CRAN

generalCorr: Generalized Correlations, Causal Paths and Portfolio Selection

R: internal da
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

DA: Discriminant Analysis

CRAN

GDAtools: Geometric Data Analysis

analysis, aka "Analyse Factorielle Discriminante" for the French school of multivariate data analysis.
Usage
DA(data

DA: Analise discriminante linear (LDA) e quadratica (QDA

CRAN

MVar.pt: Analise multivariada (brazilian portuguese)

a classificados.
class
Vetor com os nomes das classes dos dados.

DA: Optimization using Dragonfly Algorithm

CRAN

metaheuristicOpt: Metaheuristic for Optimization

do not need to call it directly,
but just use metaOpt.
Usage

da: Calculate diagnostic accuracy measures for binary measures

GITHUB

lbraglia/yapomif: Yet another package of misc functions

measures (test, reference
standard)
Usage

dA: Derivative of normalization function

CRAN

plsdof: Degrees of Freedom and Statistical Inference for Partial Least Squares Regression

This function computes the derivative of the function
v\mapsto
\frac{w}{\|w\|_A}

da: Disproportionality Analysis

CRAN

pvda: Disproportionality Functions for Pharmacovigilance

with .xlsx. If you
do not want to export the output to an excel file, pass NULL (the default).
Value

DA: Discriminant analysis using the mixture of generalized

RFORGE

MixGHD: Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions

hyperbolic distributions (MCGHD).
Usage
DA(train,trainL,test,testL,method="MGHD",max.iter=100,

da: Calculate diagnostic accuracy measures for binary measures

GITHUB

lbraglia/lbdiag: Diagnostic Accuracy Miscellaneous Utilities

and NPV, calculated via bdpv a-la
Mercaldo)
Usage

DA: Discriminant Analysis for Evolutionary Inference

CRAN

DA: Discriminant Analysis for Evolutionary Inference

Package: DA
Version: 1.2.0
Date: 2021-07-11

dA: Derivative of normalization function

GITHUB

fbertran/plsdof: Degrees of Freedom and Statistical Inference for Partial Least Squares Regression

This function computes the derivative of the function
v\mapsto
\frac{w}{\|w\|_A}

DA: Declination Angle

GITHUB

mlguys/ShinySolarCalculator: Solar Energy Calculator

the equator and
a line drawn from the centre of the Earth to the centre of the sun.
Usage

da: Calculate diagnostic accuracy measures for binary measures

RFORGE

yapomif: Yet another package of misc functions

measures (test,
reference standard)
Usage

DA: Discriminant analysis using the mixture of generalized

CRAN

MixGHD: Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions

hyperbolic distributions (MCGHD).
Usage
DA(train,trainL,test,testL,method="MGHD",starting="km",max.iter=100,

da: Internal function for computing scores w/r to regression

CRAN

jumps: Hodrick-Prescott Filter with Jumps

} + D a^{(2)}_{t} - k^{(1)}_t x_t -
k^{(1)}_t D a^{(1)}_{t}
D a^{(2)}_{t+1} = a^{(2)}_{t} - k^{(2)}_t x_t - k^{(2)}_t Da

DAS: Distance-bAsed Statistical methods

GITHUB

kyoustat/DAS: Distance-bAsed Statistical methods

R: Distance-bAsed Statistical methods
DASR Documentation
Distance-bAsed

DA: Convert Data To Or From BUGS Format

CRAN

secr: Spatially Explicit Capture-Recapture

R: Convert Data To Or From BUGS Format
const macros = { "\\R": "\\textsf{R

DAS: Distance-bAsed Statistical methods

GITHUB

kisungyou/DAS: Distance-bAsed Statistical methods

R: Distance-bAsed Statistical methods
DASR Documentation
Distance-bAsed

copas: Copas selection model analysis

CRAN

metasens: Statistical Methods for Sensitivity Analysis in Meta-Analysis

R: Copas selection model analysis
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

copas: Copas selection model analysis

GITHUB

guido-s/metasens: Statistical Methods for Sensitivity Analysis in Meta-Analysis

R: Copas selection model analysis
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function