warna: warna

GITHUB

ilyamaclean/climvars: Functions for calculating biologically meaningful climate variables

R: warna
warnaR Documentation
warna

ema: Exponential Moving Average (EMA)

GITHUB

andreas50/utsOperators: Moving Averages and Other Rolling Operators for Unevenly Spaced Time Series

R: Exponential Moving Average (EMA)
emaR Documentation
Exponential Moving Average (EMA)

ema: Ecological Momentary Assessment (EMA) Data

CRAN

codyna: Complex Dynamic Systems

R: Ecological Momentary Assessment (EMA) Data
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

ema: Exponential moving average filter (EMA)

GITHUB

steffenhartmeyer/lightdosimetry: Functions for quantifying personal light exposure data

R: Exponential moving average filter (EMA)
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

ema: Add Exponentially-Weighted Moving Average (EMA) to the chart

CRAN

cryptoQuotes: Open Access to Cryptocurrency Market Data, Sentiment Indicators and Interactive Charts

R: Add Exponentially-Weighted Moving Average (EMA) to the chart
const macros = { "\\R": "\\textsf{R}", "\\code

WA: Weighted averaging (WA) regression and calibration

CRAN

rioja: Analysis of Quaternary Science Data

R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

WA: Weighted averaging (WA) regression and calibration

GITHUB

nsj3/rioja: Analysis of Quaternary Science Data

R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

EMA-package: EMA - Easy Microarray Analysis

CRAN

EMA: Easy Microarray Data Analysis

R: EMA - Easy Microarray Analysis
EMA-packageR Documentation
EMA - Easy Microarray Analysis

WA: While-Alive Loss Rate for Recurrent Event in the Presence of Death

CRAN

WA: While-Alive Loss Rate for Recurrent Event in the Presence of Death

Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of

EMA: Easy Microarray Data Analysis

CRAN

EMA: Easy Microarray Data Analysis

Package: EMA
Type: Package
Title: Easy Microarray Data Analysis

R/EMA-internal.R
man/EMA-package.Rd

EMA: Create a streamer for calculating the exponential moving

GITHUB

THargreaves/online-oceanarium: Online Oceanarium

the exponential moving average
Description
EMA creates a streaming algorithm that can be used to

ema: Exponential Moving Average

CRAN

QuantTools: Enhanced Quantitative Trading Modelling

moving average aka EMA is exponentially weighted SMA. EMAs have faster response to recent value changes than SMAs.
Usage

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB

tmcd82070/SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

Emas: Epigenome-Wide Mediation Analysis Study

CRAN

EMAS: Epigenome-Wide Mediation Analysis Study

Description
This function can perform the Epigenome-Wide Mediation Analysis Study (EMAS).
Usage

ema: Exponential Moving Average

GITHUB

AkselA/R-rollfun:

R: Exponential Moving Average
emaR Documentation
Exponential Moving Average

WA: SpatialPolygonsDataFrame for the state of Washington, USA

GITHUB

semmons1/TEST-SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

WA: SpatialPolygonsDataFrame for the state of Washington, USA

CRAN

SDraw: Spatially Balanced Samples of Spatial Objects

of Washington.
Usage
data("WA")

ema: exponentially weighted moving average; only return the last

GITHUB

larryleihua/fmlr: Financial Machine Learning using R

ema(x, n)
Arguments
a numeric vector

EMA: Create a streamer for calculating the exponential moving

GITHUB

THargreaves/onlineoceanarium: Online Oceanarium

the exponential moving average
Description
EMA creates a streaming algorithm that can be used to

wa: Weighted averaging transfer functions

CRAN

analogue: Analogue and Weighted Averaging Methods for Palaeoecology

and classicial
deshrinking are supported.
Usage