ADS: ADS class

GITHUB
SvenKlaassen/AdaptiveDiscreteSmoothing: Adaptive Discrete Smoothing

R: ADS class
ADSR Documentation
ADS class

adding: An adding function

GITHUB
LiYingWang/mytest:

R: An adding function
addingR Documentation
An adding function

adding: Adding function

GITHUB
ClaraLichee/agreattry: Just a try

R: Adding function
addingR Documentation
Adding function

ad: Constructor for "ad" class

GITHUB
awqx/qsarr: Useful Functions for Building a QSAR in R

R: Constructor for "ad" class
adR Documentation
Constructor for "ad" class

AD: Convert R object to AD

CRAN
RTMB: 'R' Bindings for 'TMB'

R: Convert R object to AD
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

ads: Internet Ads Revenue

GITHUB
gmlang/ezplot: A collection of functions for making common statistical charts in ggplot2

R: Internet Ads Revenue
adsR Documentation
Internet Ads Revenue

AD: AD: Average Deviation Within-Groups

GITHUB
james-lebreton/WGA: WGA: Within-Group Agreement & Data Aggregation

R: AD: Average Deviation Within-Groups
ADR Documentation
AD: Average Deviation Within-Groups

ad: ad: anomaly detection with normal probability density...

GITHUB
dbolotov/amelie: Anomaly Detection with Normal Probability Functions

R: ad: anomaly detection with normal probability density...
adR Documentation
ad: anomaly detection with normal

ad: ad: anomaly detection with normal probability density...

CRAN
amelie: Anomaly Detection with Normal Probability Functions

R: ad: anomaly detection with normal probability density...
adR Documentation
ad: anomaly detection with normal

ads: The Captain's Problem. 'ads': Relation between variables...

CRAN
dst: Using the Theory of Belief Functions

R: The Captain's Problem. 'ads': Relation between variables...
const macros = { "\\R": "\\textsf{R}", "\\code

ad: ad: anomaly detection with normal probability density...

GITHUB
dbolotov/anode: Anomaly Detection with Normal Probability Functions

R: ad: anomaly detection with normal probability density...
adR Documentation
ad: anomaly detection with normal

telegram: telegram.

CRAN
telegram: R Wrapper Around the Telegram Bot API

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

ad-class: Class '"ad"'

CRAN
mvnTest: Goodness of Fit Tests for Multivariate Normality

R: Class '"ad"'
ad-classR Documentation
Class "ad"

telegram: telegram.

GITHUB
lbraglia/telegram: R Wrapper Around the Telegram Bot API

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

ads: Age-Dependent Spline

CRAN
dplR: Dendrochronology Program Library in R

smoothing spline to y.
Usage
ads(y, nyrs0 = 50, pos.slope = TRUE)

ad: Anderson and friend test

GITHUB
atzo92/normtest: Normality test

Anderson and friend test
Usage
ad(x)

aD: Decreasing Life Annuities

GITHUB
JoaquinAuza/DetLifeInsurance: Life Insurance Premium and Reserves Valuation

of a decreasing life annuity.
Usage
aD(

AD: statistic of the Anderson-Darling goodness-of-fit test

CRAN
gofgamma: Goodness-of-Fit Tests for the Gamma Distribution

of gamma distributions, i.e. a bootstrap procedure is implemented to perform the test, see crit.values.
Usage
AD(data

ADE: Arbitrated Dynamic Ensemble

CRAN
tsensembler: Dynamic Ensembles for Time Series Forecasting

Ensemble (ADE) is an ensemble approach
for adaptively combining forecasting models. A metalearning
strategy is used

AD: Dermal conctact with chemicals in soil

CRAN
EnviroPRA2: Environmental Probabilistic Risk Assessment Tools

Description
Estimates the Absorbed dose [mg/Kg*day] of chemicals through dermal contact with a soil
Usage