aws: AWS downloader

GITHUB

RajLabMSSM/downloadR: echoverse module: Single- and multi-threaded downloading functions

R: AWS downloader
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

aws: AWS for local constant models on a grid

GITHUB

neuroconductor-releases/aws: Adaptive Weights Smoothing

R: AWS for local constant models on a grid
awsR Documentation
AWS for local constant models on a grid

aws: AWS for local constant models on a grid

GITHUB

WIAS-BERLIN/aws: Adaptive Weights Smoothing

R: AWS for local constant models on a grid
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

aws: AWS for local constant models on a grid

CRAN

aws: Adaptive Weights Smoothing

R: AWS for local constant models on a grid
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

aws: AWS for local constant models on a grid

GITHUB

neuroconductor/aws: Adaptive Weights Smoothing

R: AWS for local constant models on a grid
awsR Documentation
AWS for local constant models on a grid

awes: awes - Adaptively Weighted Ensembles via Stacking

GITHUB

reichlab/adaptively-weighted-ensemble: Adaptively Weighted Ensembles via Stacking

R: awes - Adaptively Weighted Ensembles via Stacking
awesR Documentation
awes - Adaptively Weighted Ensembles via

web: web

GITHUB

SigbertIngress/findWeb: Ingress: Find a mapping of a given linking structure to a set of real-world portals

R: web
webR Documentation
web

mpv_upload: 上传服务器

GITHUB

takewiki/jlrdspkg: package for jlrds app

R: 上传服务器
mpv_uploadR Documentation
上传服务器

aws-class: Class '"aws"'

GITHUB

neuroconductor/aws: Adaptive Weights Smoothing

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

aws: Adaptive Weights Smoothing

CRAN

aws: Adaptive Weights Smoothing

Package: aws
Version: 2.5-6
Date: 2024-09-29

inst/doc/aws-Example.pdf
inst/doc/aws-Example.R

aws-class: Class '"aws"'

GITHUB

neuroconductor-releases/aws: Adaptive Weights Smoothing

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

aws-class: Class '"aws"'

CRAN

aws: Adaptive Weights Smoothing

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

aws-class: Class '"aws"'

GITHUB

WIAS-BERLIN/aws: Adaptive Weights Smoothing

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

f_weibo_app_followtags: 文本向量词云

GITHUB

yibochen/weiBor: fetch and analyse weibo data

R: 文本向量词云
f_weibo_app_followtagsR Documentation
文本向量词云

Web: Create a web instance

GITHUB

tpemartin/econIDV:

R: Create a web instance
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

Web: Create a web instance

GITHUB

tpemartin/econWeb:

R: Create a web instance
WebR Documentation
Create a web instance

webs: Spider web length data

CRAN

asbio: A Collection of Statistical Tools for Biologists

R: Spider web length data
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

file_upload2: 文件上传服务器

GITHUB

takewiki/tsui: user interface elements from shiny,H5,css,js in takewiki solutions

R: 文件上传服务器
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

file_upload: 文件上传服务器

GITHUB

takewiki/tsui: user interface elements from shiny,H5,css,js in takewiki solutions

R: 文件上传服务器
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

AW: Collection of Free Induction Decay of Urine Spectra

CRAN

musicNMR: Conversion of Nuclear Magnetic Resonance Spectra in Audio Files

) from eight urine samples. All urine were collected from the donor "AW". The urine are divided in two group; in each group