GARCH in mean VAR

利用R语言进行两个变量的空间自相关分析，从而进行克里金插值(The spatial autocorrelation analysis of two variables is carried out by using R language.)

利用R语言SEM程序包进行通径分析，简单易学，容易上手(SEM path analysis model)

说明：  代码详细解释了bagging方法的运用，以及包含了详细的bagging代码(The code explains the application of bagging method in detail, and contains detailed bagging code.)

说明：  本书提供了快速绘制高质量图形的150多种技巧，每个技巧用来解决一个特定的绘图需求。读者可以通过目录快速定位到自己遇到的问题，查询相应的解决方案。(This book provides more than 150 techniques for quickly drawing high quality graphics, each of which addresses a specific drawing requirement. Readers can quickly locate their own problems through the directory, query the corresponding solution.)

一篇论文的GARCH in mean VAR(GARCH in mean VAR of a published paper)

结合案例来描述每一种统计学模型，解释如何开展数据分析，讨论采用模拟手段来检验模型，这是模型开发与评估中的重要方面，给出多层回归模型（如多层ANOVA、多层线性回归和广义多层模型），指导如何用R语言采实现诸多方法，在线提供书中所用到的数据集和R语言脚本。(Combined with the case to describe each kind of statistical model, how to carry out data analysis and interpretation, discusses the use of simulation to test the model, this is an important aspect of the development and evaluation of the model, given the multi regression model (such as multilayer ANOVA, multi linear regression and generalized multi model), how to achieve a lot of mining method with the R language guide online provide the data set and the R script used in the book.)

R语言对数据进行Garch-t-Copula建模和Garch-Clayton-Copula建模(Garch-t-Copula modeling and Garch-Clayton-Copula modeling for data in R language)

说明：  制作pcoa、饼图、venn图、热图、柱状图的脚本，可直接改参数使用，内有注释，适用于微生物多样性(the Script to make PCOA)

该文档中包含大量代码，首先是一些R语言基本语法练习的，然后是一些机器学习相关的，最后是一些评分卡指标计算、建模相关的。(This document contains a lot of code, first some basic grammar exercises of R language, then some machine learning related, and finally some scorecard index calculation, modeling related.)

说明：  一篇论文的GARCH in mean VAR(GARCH in mean VAR of a published paper)