Changes in version 1.18.0                        

    o   Forthcoming.

                       Changes in version 1.17.0                        

    o   Removal of `future` and `doFuture` for simplification of parallelization. All
	control of parallel computation now done through `BiocParallel`.

                       Changes in version 1.16.0                        

    o   No significant updates.

                       Changes in version 1.15.0                        

    o   No significant updates.

                       Changes in version 1.14.0                        

    o   No significant updates.

                       Changes in version 1.13.0                        

    o   No significant updates.

                       Changes in version 1.12.0                        

    o   No significant updates.

                       Changes in version 1.11.0                        

    o   Change of estimation backend from the `tmle` package to the `drtmle` package.

    o   Removal of option to have repeated subjects since unsupported in new backend.

    o   Adds argument `bppar_debug` to facilitate debugging around parallelization.

                       Changes in version 1.10.0                        

    o   No significant updates.

                        Changes in version 1.8.0                        

    o   No significant updates.

                        Changes in version 1.6.0                        

    o   No significant updates.

                        Changes in version 1.4.0                        

    o   An updated release of this package for Bioconductor 3.7, released April 2018.

    o   This release primarily implements minor changes, including the use of colors
	in the plots produced by the visualization methods.

                        Changes in version 1.3.0                        

    o   An updated release of this package for Bioconductor 3.6, released in October
	2017.

    o   An option for applying this methodology to next-generation sequencing data has
	been added, based on the popular "voom" transform of the limma R package.

    o   Facilities for parallelized computation have been completely re-implemented:
	current routines favor a combination of future and BiocParallel.

    o   The method for estimating biomarkers based on an observed outcome has been
	removed (temporarily). Inference based on this method requires re-thinking.

    o   A full suite of unit tests have been added, covering most package functions.

                        Changes in version 1.0.0                        

    o   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