tg: tg "to grob" helper function

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

TGS: Rapid Reconstruction of Time-Varying Gene Regulatory Networks

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

TG: Generalized g-Prior Distribution for Coefficients in BMA

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

tg: Run metamodel

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...

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...

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

tg: FUSION output on 2013 Triglycerides GWAS

FUSION output on 2013 Triglycerides GWAS
Usage
tg

TG: Thermogravimetry curves

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

tg: Summarized ToothGrowth data

ToothGrowth data
Usage
tg

aibot: 创建查询机器人

R: 创建查询机器人
aibotR Documentation
创建查询机器人

f_weibo_app_followtags: 文本向量词云

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

aibot_env: 增加机器人查询测试env

R: 增加机器人查询测试env
aibot_envR Documentation
增加机器人查询测试env

inst/other/get_tuple.R:

1.438亿，日活跃用户6660万，其中包括大量政府机构、官员、企业、个人认证账号，开放的传播机制使新浪微博成为中国的“公共议事厅”。[3]
发展简史
2009年7月，经过一个多月的调研分析，管理层明确了目标，下决心要做微博这个产品

pkgName_get: 返回包名

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

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

getPhoneNumber: 获取电话号码

, macros }); }
return;
getPhoneNumberR Documentation

experiments/20180409_序列生成机制分析.Rmd:

"))
## 平稳性分析
Dickey-Fuller检验

voucher_afterReClass_vchNo_list: 凭证号查询重分类凭证

R: 凭证号查询重分类凭证
voucher_afterReClass_vchNo_listR Documentation
凭证号查询重分类凭证

str_contain_phone: 判断文件中是否包含电话号码

R: 判断文件中是否包含电话号码
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

get_fit: 重复随机试验计算最优参数

参数时，新用户留存参数的下限，即第一个参数–第3、4日对次日的环比系数–的下限。默认0.3
max:
随机获得参数时，参数的上限，包括360日及以上新用户留存和老用户留存。默认0.9999