搜索资源列表
sbgcop_0.95.tar
- sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric i
sbgcop_0.95
- sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric i
imputation.tar
- 一个很有用的EM算法程序包，可用于混合高斯模型，值得一看哦
imputation
- 不完全数据分析MATLAB程序（部分信息重建）：最小均方估计、协方差矩阵、缺失值推测-Analysis of incomplete datasets: Estimation of mean values and covariance matrices and imputation of missing values
phase.2.1.1.source.tar
- 预测单倍型根据基因型数据,根据已经知道的数据,预测未知的数据- The program PHASE implements methods for estimating haplotypes from population genotype data described in Stephens, M., and Donnelly, P. (2003). A comparison of Bayesian methods for haplotype reconstruction from p
hgfrz
- This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data.
C2
- The Impact of Missing Values Imputation Methods in cDNA Microarrays on Downstream Data Analysis
sun1
- Imputation Report – HapMap 3 reference panel
ImputationSOM
- SOM toolbox used as an imputation method
inpaint_nans
- 缺失数据的填补函数，用来估计缺失的数据。 single and mutiple imputation-Solves approximation to one of several pdes to interpolate and extrapolate holes in an array
imputation
- Matlab 工具箱，基于正则期望最大化方法(Regularied Expectation Maximization)的数据填充。-A Matlab toolbox based on the regularied expectation maximization (RegEM) based data imputation.
MI_Exp
- 平均插补：对缺失的数据，用已记录数据的平均值进行填补-mean imputation
chabu
- C语言实现的插补程序，用于数控开发，方便移植51或tsm32-C language implementation of the imputation procedure for numerical development, ease of porting 51 or tsm32
tMiefore
- tMissing data in large insurance datasets affects the learning and classification accuracies in predictivemodelling. Insurance datasets will continue to increase in size as more variables are added to aid inmanaging client risk and will therefore be
CALIBERrfimpute
- R语言编写的一种missing data Imputation Package -Author:Anoop Shah [aut, cre],Jonathan Bartlett [ctb],Harry Hemingway [ths]