tg: tg "to grob" helper function

GITHUB
almartin82/mapvizieR: Visualization and Data Analysis tools for NWEA MAP student data

R: tg "to grob" helper function
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

TGS: Rapid Reconstruction of Time-Varying Gene Regulatory Networks

CRAN
TGS: Rapid Reconstruction of Time-Varying Gene Regulatory Networks

Package: TGS
Version: 1.0.1
Title: Rapid Reconstruction of Time-Varying Gene Regulatory Networks

R/TGS-package.R
man/TGS-package.Rd

experiments/20180801_DT验.Rmd:

GITHUB
ahorawzy/HVS: This package is designed for Highway Virtual Traffic Survey Station project.

title: "20180801_DT验"
author: "wzy"
date: "2018年8月1日"

TG: Generalized g-Prior Distribution for Coefficients in BMA

CRAN
BAS: Bayesian Variable Selection and Model Averaging using Bayesian Adaptive Sampling

g-priors on coefficients for BAS, where u = 1/(1+g) has a Gamma distribution
supported on (0, 1].
Usage

tg: Run metamodel

GITHUB
lucabutikofer/LingraNR: R Interface to LINGRA-N Tool

in Qi et al. 2018 for
grassland productivity on temporary (tg()), permanent (pg())
and semi-natural (rough grazing, rg

TGS-package: TGS: A package for Rapid Reconstruction of Time-Varying Gene...

CRAN
TGS: Rapid Reconstruction of Time-Varying Gene Regulatory Networks

R: TGS: A package for Rapid Reconstruction of Time-Varying Gene...
TGS-packageR Documentation
TGS: A package

TGS-package: TGS: A package for Rapid Reconstruction of Time-Varying Gene...

GITHUB
sap01/TGS: Rapid Reconstruction of Time-Varying Gene Regulatory Networks

R: TGS: A package for Rapid Reconstruction of Time-Varying Gene...
TGS-packageR Documentation
TGS: A package

tg: FUSION output on 2013 Triglycerides GWAS

GITHUB
bogdanlab/RHOGE: Genome-wide genetic correlation between two complex traits using TWAS effect-size estimates

FUSION output on 2013 Triglycerides GWAS
Usage
tg

TG: Thermogravimetry curves

CRAN
ILS: Interlaboratory Study

oxalate samples were tested by thermogravimetric (TG) analysis,
obtaining 105 TG curves that shows the mass loss of oxalate

aibot_env: 增器人查询测试env

GITHUB
takewiki/tsai: takewiki solution for AI

R: 增器人查询测试env
aibot_envR Documentation
器人查询测试env

tg: Summarized ToothGrowth data

GITHUB
wch/gcookbook: Data for "R Graphics Cookbook"

ToothGrowth data
Usage
tg

sap01/TGS: Rapid Reconstruction of Time-Varying Gene Regulatory Networks

GITHUB
sap01/TGS: Rapid Reconstruction of Time-Varying Gene Regulatory Networks

Package: TGS
Version: 1.0.1.9000
Title: Rapid Reconstruction of Time-Varying Gene Regulatory Networks

R/TGS-package.R
man/TGS-package.Rd

aibot: 创建查询器人

GITHUB
takewiki/tsai: takewiki solution for AI

R: 创建查询器人
aibotR Documentation
创建查询器人

experiments/20180409_序列生成制分析.Rmd:

GITHUB
ahorawzy/TFTSA: Traffic Flow Time Series Analysis

非平稳过程,即该过程是线性时间趋势上平稳误差,与过程是随游动、差分非平稳的真情况相反。这个例子说明在小样本下,很难区分趋势非平稳和差分平稳。
### 对交通流数据的平稳性分析
#### 差分非平稳VS平稳

nse_subScramble: 测试取子集后随排序

GITHUB
takewiki/tsdo: data objects in takewiki solutions

R: 测试取子集后随排序
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

experiments/20171219_10月1日交通流随森林建模.Rmd:

GITHUB
ahorawzy/TFTSA: Traffic Flow Time Series Analysis

更少,模型更简洁,更适用。
今天的验尝试用随森林回归建模。
读取数据

spgarbet/tg: The Grammar of Tables

GITHUB
spgarbet/tg: The Grammar of Tables

Package: tangram
Title: The Grammar of Tables
Version: 0.8.2

get_fit: 重复随试验计算最优参数

GITHUB
catlain/LTV:

R: 重复随试验计算最优参数
get_fitR Documentation
重复随试验计算最优参数

R/TGS-package.R:

CRAN
TGS: Rapid Reconstruction of Time-Varying Gene Regulatory Networks

#' TGS: A package for Rapid Reconstruction of Time-Varying Gene Regulatory
#' Networks
#'

R/TGS-package.R:

GITHUB
sap01/TGS: Rapid Reconstruction of Time-Varying Gene Regulatory Networks

#' TGS: A package for Rapid Reconstruction of Time-Varying Gene Regulatory
#' Networks
#'