copula_0.5-7.tar

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.)

说明：  金融时间序列第九章的代码加数据，用的r语言(Analysis of Financial Time Series 3th)

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)

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

利用R软件建立混合效应模型，对于不同随机效应参数的混合模型进行对比(develop the mixed-effects models and compare the goodness-of-fit)

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.)

《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)

主要是利用r语言做简单线性回归，一元线性回归(use r language to solve simple ols)

荧光屏谱中，连续小波变换后消基线，haar，墨西哥小波(Spectrum of the phosphor screen, the continuous wavelet transform eliminate baseline, Haar, Mexico wavelet)

计算CVAR 条件下的最有权重，主要针对股票收益率进行分析(compute the optimal weight under CVAR condition)