Bengkulu: Food Prices in Bengkulu

CRAN

ifpd: Indonesia Food Prices Data

R: Food Prices in Bengkulu
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

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

ma: MA

CRAN

linea: Linear Regression Interface

R: MA
maR Documentation
MA

mas: mas

GITHUB

USDA-ARS-GBRU/crossword: Breeding program similation sotware

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

ma: ma

GITHUB

SVA-SE/svamap: Package to produce data summaries for the web

R: ma
maR Documentation
ma

ma: Prepare data for MA plot

GITHUB

LUMC/dgeAnalysis: dgeAnalysis

R: Prepare data for MA plot
maR Documentation
Prepare data for MA plot

Ma: Moving average (MA) model

CRAN

gsignal: Signal Processing

R: Moving average (MA) model
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

standarized: Standarizar Variables

GITHUB

Aulide81/estadisticos: Herramientas para el analisis de datos

variables standarizadas
Usage
standarized(df, w)

ma: Prepare data for MA plot

GITHUB

LUMC/DGE_analysis: dgeAnalysis

R: Prepare data for MA plot
maR Documentation
Prepare data for MA plot

MA: Generates the MA plot

GITHUB

dianalow/nMyo: nMyo

R: Generates the MA plot
MAR Documentation
Generates the MA plot

standarization: Calculation of a matrix z-score from scratch

GITHUB

olapuentesantana/easier_manuscript: Evaluate patient immune response to ICBs through a systems approach

scratch.
Description
standarization implements the z-score normalization.

MA: Create an Moving Average Q [MA(Q)] Process

GITHUB

SMAC-Group/gmwm: Generalized Method of Wavelet Moments

R: Create an Moving Average Q [MA(Q)] Process
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

Ma: Create a moving average (MA) model

RFORGE

signal: Signal Processing

R: Create a moving average (MA) model
MaR Documentation
Create a moving average (MA) model

Ma: Create a moving average (MA) model

CRAN

signal: Signal Processing

R: Create a moving average (MA) model
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

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

MA: Create an Moving Average Q [MA(Q)] Process

CRAN

gmwm: Generalized Method of Wavelet Moments

R: Create an Moving Average Q [MA(Q)] Process
MAR Documentation
Create an Moving Average Q [MA(Q)] Process

MA: Create an Moving Average Q [MA(Q)] Process

GITHUB

schoi355/gmwm: Generalized Method of Wavelet Moments

R: Create an Moving Average Q [MA(Q)] Process
MAR Documentation
Create an Moving Average Q [MA(Q)] Process

MA: Create an Moving Average Q [MA(Q)] Process

CRAN

simts: Time Series Analysis Tools

R: Create an Moving Average Q [MA(Q)] Process
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt

ma: Set up MA(q) correlation structures

CRAN

brms: Bayesian Regression Models using 'Stan'

R: Set up MA(q) correlation structures
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function