biotmle 1.11.0 (BioC 3.11):变化的评估后端“tmle”包“drtmle”包。——删除选项重复主题不支持以来新的后端。-增加论证“bppar_debug”,方便调试并行化。- - - biotmle 1.10.0 (BioC 3.10):没有明显的更新。- - - biotmle 1.8.0 (BioC 3.9):没有明显的更新。- - - biotmle 1.6.0 (BioC 3.8):没有明显的更新。- - - biotmle 1.4.0 (BioC 3.7):一个更新版本的这个包Bioconductor 3.7, 2018年4月发布。——这个版本主要实现了微小的变化,包括使用颜色的情节产生的可视化方法。- - - 1.3.0 biotmle版本(3.6 BioC):这个包的更新发布Bioconductor 3.6, 2017年10月发布。——一个选择将这种方法应用于新一代测序数据已经添加,基于的受欢迎的“轰”变换limma R包。 - Facilities for parallelized computation have been completely re-implemented: current routines favor a combination of future and BiocParallel. - The method for estimating biomarkers based on an observed outcome has been removed (temporarily). Inference based on this method requires re-thinking. - A full suite of unit tests have been added, covering most package functions. --- biotmle 1.0.0 (BioC 3.5): - The first release of this package was made as part of Bioconductor 3.5, in 2016. --- The biotmle R package provides routines for statistical methodology first described in the technical manuscript [1] and the software paper [2]: 1. Nima S. Hejazi, Sara Kherad-Pajouh, Mark J. van der Laan, Alan E. Hubbard. Variance stabilization of targeted sstimators of causal parameters in high-dimensional settings. https://arxiv.org/abs/1710.05451 2. Nima S. Hejazi, Weixin Cai, Alan E. Hubbard. biotmle: Targeted Learning for Biomarker Discovery. The Journal of Open Source Software, 2(15), 2017. https://dx.doi.org/10.21105/joss.00295