计算VaR

说明：  《时间序列分析及应用：R语言，潘红宇》书籍分享(Time Series Analysis and Application: R Language, Pan Hongyu)

葡萄酒数据集， 基于Wine数据集的数据分析报告 R语言+实验结果文档(Wine datasets Data Analysis Report R Language + Experimental Results Document Based on Wine Data Set)

关于时间序列分析的一些比较简单的例子，有注释。使用R语言编写。(Some examples of time series in R)

SIR。。。。 传染病传播的SIR模型，很全，可直接应用仿真模拟 (SIR model the spread of infectious diseases, it is full, the simulation can be applied directly)(SIR model the spread of infectious diseases, it is full, the simulation can be applied directly)

说明：  garch copula 带论文和code例句(garch copula with paper and code)

水动力模型MIKE21数据后处理 dfsu格式文件导出模拟结果xyz格式文件 R语言可以迅速批量读取xyz文件，并根据文件名排序 以便于后期处理(MIKE 21 export results from dsfu R read numerous xyz files)

在各种边缘分布状态下，计算序列的风险值，尤其适用于极值理论。(Calculation of risk values)

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.)

双重差分估计 双重差分模型（difference-in-difference，DID）近年来多用于计量经济学中对于公共政策或项目实施效果 的定量评估。 通常大范围的公共政策有别于普通科研性研究，难以保证对于政策实施组和对照组在样本分配上的完全随机。非随机分配政策实施组和对照组的试验称为自然试验（naturaltrial），此类试验存在较显著的特点，即不同组间样本在政策实施前可能存在事前差异，仅通过单一前后对比或横向对比的分析方法会忽略这种差异，继而导致对政策实施效果的有偏估计。(Quantitative evaluation of policy or project implementation effect. Generally, a wide range of public policies is different from general scientific research, and it is difficult to ensure that the sample allocation for the policy implementation group and the control group is completely random. The non-randomly assigned policy implementation group and the control group are called natural trials, which have significant characteristics, i.e. there may be prior differences between the different groups of samples before the implementation of the policy, and this difference will be ignored only through a single pre-and post-comparison or horizontal comparison analysis method, which leads to the policy. Biased estimation of implementation)

说明：  从plots文件中读取目标站点信息 从station文件读取气象站点信息 自动匹配距离目标站点最近的气象站名称(Automatically match the closest meteorogical station of subject plot.)