ols

r语言可视化领域最详细的说明，从最简单的作图到可视化分析，内容详尽(The most detailed description of the field of R language visualization, from the simplest mapping to visual analysis, is exhaustive.)

说明：  利用R语言，根据GARCH模型进行波动率的预测。(GARCH model is used to forecast volatility.)

混频回归模型的r语言包，里边包括例题啥的。(The package of midas (mixed frequecncy), which includes the concrete code of some examples.)

R语言用于多元回归树分析，适用高版本的R。(Multiple regression tree analysis in R language)

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.)

说明：  PSTR模型，解决面板数据的非线性关系问题，适合初学者使用(PSTR model, which solves the problem of non-linear relationship of panel data, is suitable for beginners to use.)

说明：  R 语言 bootRes包算相关系数 计算bootstrapped 相关系数(calculate bootstrapped correlation)

很好用的代码 简单操作 且是用R语言编写 真的很好用啊( Conceptually, this is a good model, but all too often people actually implement their code this way.)

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

R 语言 bootRes包算相关系数 计算bootstrapped 相关系数(calculate bootstrapped correlation)