搜索资源列表
gibbs.met_1.1-3.tar
- 马尔可夫链蒙特卡洛算法，由R语言实现，是在Gibbs采样中每步利用Metropolis采样。程序非常清晰，是理解MCMC的好东西-Naive Gibbs Sampling with Metropolis Steps
weifen
- 欧拉格式、中点格式、预报—校正格式、经典四级四阶R-K格式C++语言实现-Euler scheme for the mid-point format, the prediction- correction format, the classic four fourth order RK the format C++ language to achieve
Cross-validation
- R语言实现范剑青的缺失数据估计（统计学目前最热研究方向），论文SCI引用超过1千次-R language Jianqing Fan of missing data estimates (statistical currently the hottest research), SCI papers cited more than one thousand times
item-based-recommend
- R语言实现Item-Base的CF算法，下载下来，可以直接在R语言编译环境下运行-Item-Based Collaborative Filtering Algorithm in R language
AHP
- 使用R语言实现的层次分析（AHP）代码，只要数据和判断矩阵即可运行得出所需结果-Using the R language implementation of AHP (AHP) code, as long as you can run data and judgment matrix obtained the desired result
AHP
- R语言实现的一个简单的AHP，层次分析的源码。-The code belonging to the data analysis of R language source code level analysis.
EM_GMM
- 基于EM算法实现的高斯混合模型数据分类，可以很优秀的对各种数据进行聚类分析，R语言实现-EM algorithm based on Gaussian mixture model data classification, can be very good for a variety of data clustering analysis, R language
Metropolis-Hastings
- 使用metropolis-hastings抽样方法，产生平稳马尔科夫链，R语言实现-Using sampling methods metropolis-hastings, produce smooth Markov chain, R language
linear-programming-R
- 用R语言实现单纯形法,来求解AX<=b类的线性规划问题。-R scr ipt realize simplex method