scanner: scanner

CRAN
envlpaster: Enveloping the Aster Model

R: scanner
scannerR Documentation
scanner

scanner: standard RGB scanners

CRAN
colorSpec: Color Calculations with Emphasis on Spectral Data

R: standard RGB scanners
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

Hardware: Create hardware settings.

CRAN
campsis: Generic PK/PD Simulation Platform Campsis

R: Create hardware settings.
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

Hardware: Daily receipts for a small hardware store for 31 working days

CRAN
BSDA: Basic Statistics and Data Analysis

R: Daily receipts for a small hardware store for 31 working days
const macros = { "\\R": "\\textsf{R}", "\\code

Hardware: Daily receipts for a small hardware store for 31 working days

GITHUB
alanarnholt/BSDA: Basic Statistics and Data Analysis

R: Daily receipts for a small hardware store for 31 working days
const macros = { "\\R": "\\textsf{R}", "\\code

AREDS: AREDS

CRAN
CopulaCenR: Copula-Based Regression Models for Multivariate Censored Data

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

ar: ar data

CRAN
forward: Robust Analysis using Forward Search

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

AR: Auto-Regressive (AR) input

CRAN
onlineforecast: Forecast Modelling for Online Applications

R: Auto-Regressive (AR) input
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

Ar: Ar: Archimedes number

GITHUB
cdmuir/tealeaves: Solve for Leaf Temperature Using Energy Balance

R: Ar: Archimedes number
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

AR: Estimate a AR model

CRAN
fable: Forecasting Models for Tidy Time Series

R: Estimate a AR model
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

ar: ngme AR(p) model specification

CRAN
ngme2: Linear Latent Non-Gaussian Models with Flexible Distributions

R: ngme AR(p) model specification
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

Scanner: Scan the contents of a dataset

CRAN
arrow: Integration to 'Apache' 'Arrow'

A Scanner iterates over a Dataset's fragments and returns data
according to given row filtering and column projection

scanner: Scan List of Text Files

GITHUB
couthcommander/packageDiff: Compare R Package Differences

string
Usage
scanner(files, full.names = FALSE)

Scanner: scans for dependences of a file scan a file for dependences

GITHUB
roverrobot/make: Make utility in R

of a file
scan a file for dependences
Description

Ar: Ar: Archimedes number

CRAN
tealeaves: Solve for Leaf Temperature Using Energy Balance

R: Ar: Archimedes number
ArR Documentation
Ar: Archimedes number

AR: Compute the Anti-Robinson (AR) score

CRAN
GAPR: Generalized Association Plots

R: Compute the Anti-Robinson (AR) score
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

AR: Create an Autoregressive P [AR(P)] Process

CRAN
gmwm: Generalized Method of Wavelet Moments

R: Create an Autoregressive P [AR(P)] Process
ARR Documentation
Create an Autoregressive P [AR(P)] Process

AR: Create an Autoregressive P [AR(P)] Process

GITHUB
schoi355/gmwm: Generalized Method of Wavelet Moments

R: Create an Autoregressive P [AR(P)] Process
ARR Documentation
Create an Autoregressive P [AR(P)] Process

ar: Convert between parameterizations for the AR(p) model

GITHUB
andrewzm/INLA: Functions which allow to perform full Bayesian analysis of latent Gaussian models using Integrated Nested Laplace Approximaxion

R: Convert between parameterizations for the AR(p) model
inla.arR Documentation
Convert between parameterizations

ar: Convert between parameterizations for the AR(p) model

GITHUB
INBO-BMK/INLA: Full Bayesian Analysis of Latent Gaussian Models using Integrated Nested Laplace Approximations

R: Convert between parameterizations for the AR(p) model
inla.arR Documentation
Convert between parameterizations