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| a | b/inst/NEWS | ||
|---|---|---|---|
| 1 | biotmle 1.18.0 (BioC 3.14): |
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| 2 | - Forthcoming. |
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| 3 | |||
| 4 | --- |
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| 5 | |||
| 6 | biotmle 1.17.0: |
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| 7 | - Removal of `future` and `doFuture` for simplification of parallelization. All |
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| 8 | control of parallel computation now done through `BiocParallel`. |
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| 9 | |||
| 10 | --- |
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| 11 | |||
| 12 | biotmle 1.16.0 (BioC 3.13): |
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| 13 | - No significant updates. |
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| 14 | |||
| 15 | --- |
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| 16 | |||
| 17 | biotmle 1.15.0: |
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| 18 | - No significant updates. |
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| 19 | |||
| 20 | --- |
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| 21 | |||
| 22 | biotmle 1.14.0 (BioC 3.12): |
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| 23 | - No significant updates. |
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| 24 | |||
| 25 | --- |
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| 26 | biotmle 1.13.0: |
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| 27 | - No significant updates. |
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| 28 | |||
| 29 | --- |
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| 30 | |||
| 31 | biotmle 1.12.0: |
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| 32 | - No significant updates. |
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| 33 | |||
| 34 | --- |
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| 35 | |||
| 36 | biotmle 1.11.0 (BioC 3.11): |
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| 37 | - Change of estimation backend from the `tmle` package to the `drtmle` package. |
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| 38 | - Removal of option to have repeated subjects since unsupported in new backend. |
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| 39 | - Adds argument `bppar_debug` to facilitate debugging around parallelization. |
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| 40 | |||
| 41 | --- |
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| 42 | |||
| 43 | biotmle 1.10.0 (BioC 3.10): |
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| 44 | - No significant updates. |
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| 45 | |||
| 46 | --- |
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| 47 | |||
| 48 | biotmle 1.8.0 (BioC 3.9): |
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| 49 | - No significant updates. |
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| 50 | |||
| 51 | --- |
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| 52 | |||
| 53 | biotmle 1.6.0 (BioC 3.8): |
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| 54 | - No significant updates. |
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| 55 | |||
| 56 | --- |
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| 57 | |||
| 58 | biotmle 1.4.0 (BioC 3.7): |
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| 59 | - An updated release of this package for Bioconductor 3.7, released April 2018. |
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| 60 | - This release primarily implements minor changes, including the use of colors |
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| 61 | in the plots produced by the visualization methods. |
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| 62 | |||
| 63 | --- |
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| 64 | |||
| 65 | biotmle 1.3.0 (BioC 3.6): |
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| 66 | - An updated release of this package for Bioconductor 3.6, released in October |
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| 67 | 2017. |
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| 68 | - An option for applying this methodology to next-generation sequencing data has |
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| 69 | been added, based on the popular "voom" transform of the limma R package. |
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| 70 | - Facilities for parallelized computation have been completely re-implemented: |
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| 71 | current routines favor a combination of future and BiocParallel. |
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| 72 | - The method for estimating biomarkers based on an observed outcome has been |
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| 73 | removed (temporarily). Inference based on this method requires re-thinking. |
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| 74 | - A full suite of unit tests have been added, covering most package functions. |
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| 75 | |||
| 76 | --- |
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| 77 | |||
| 78 | biotmle 1.0.0 (BioC 3.5): |
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| 79 | - The first release of this package was made as part of Bioconductor 3.5, in |
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| 80 | 2016. |
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| 81 | |||
| 82 | --- |
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| 83 | |||
| 84 | The biotmle R package provides routines for statistical methodology first |
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| 85 | described in the technical manuscript [1] and the software paper [2]: |
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| 86 | |||
| 87 | 1. Nima S. Hejazi, Sara Kherad-Pajouh, Mark J. van der Laan, Alan E. Hubbard. |
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| 88 | Variance stabilization of targeted sstimators of causal parameters in |
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| 89 | high-dimensional settings. https://arxiv.org/abs/1710.05451 |
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| 90 | |||
| 91 | 2. Nima S. Hejazi, Weixin Cai, Alan E. Hubbard. biotmle: Targeted Learning for |
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| 92 | Biomarker Discovery. The Journal of Open Source Software, 2(15), 2017. |
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| 93 | https://dx.doi.org/10.21105/joss.00295 |
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| 94 |