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[Other resource] sbgcop_0.95.tar DL : 0: 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 imputation procedure for missing multivariate data. Version: 0.95 Date: 2007-03-09 Author: Peter Hoff Maintainer: Peter Hoff <hoff at stat.washington.edu> License: GPL Version 2 or later URL: http://www.stat.washington.edu/hoff CRAN checks: sbgcop results Downloads: Package source: sbgcop_0.95.tar.gz MacOS X binary: sbgcop_0.95.tgz Windows binary: sbgcop_0.95.zip Reference manual: sbgcop.pdf
Update : 2008-10-13 Size : 5.15kb Publisher : 陈远
[Other resource] imputation.tar DL : 0: 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
Update : 2008-10-13 Size : 17.71kb Publisher : 林枫
[matlab] sbgcop_0.95.tar DL : 0: 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 imputation procedure for missing multivariate data. Version: 0.95 Date: 2007-03-09 Author: Peter Hoff Maintainer: Peter Hoff <hoff at stat.washington.edu> License: GPL Version 2 or later URL: http://www.stat.washington.edu/hoff CRAN checks: sbgcop results Downloads: Package source: sbgcop_0.95.tar.gz MacOS X binary: sbgcop_0.95.tgz Windows binary: sbgcop_0.95.zip Reference manual: sbgcop.pdf
Update : 2025-03-07 Size : 5kb Publisher : cy
[AI-NN-PR] imputation.tar DL : 0: 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-A useful package of the EM algorithm can be used in mixed-Gaussian model, see Oh
Update : 2025-03-07 Size : 18kb Publisher : 林枫
[Other] phase.2.1.1.source.tar DL : 0: 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 population genotype data. American Journal of Human Genetics, 73:1162-1169. Stephens, M., Smith, N., and Donnelly, P. (2001). A new statistical method for haplotype reconstruction from population data. American Journal of Human Genetics, 68, 978--989. Stephens, M., and Scheet, P. (2005). Accounting for Decay of Linkage Disequilibrium in Haplotype Inference and Missing-Data Imputation. American Journal of Human Genetics, 76:449-462. The software also incorporates methods for estimating recombination rates, and identifying recombination hotspots: Crawford et al (2004). Evidence for substantial fine-scale variation in recombination rates across the human genome. Nature Genetics,. The software is free for non-commercial use, and may be licensed for commercial use
Update : 2025-03-07 Size : 241kb Publisher : zcrself