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outbreaker2 1.1.3 (2022-05-18)
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==================
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### Bug fixes
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* Email addresses fixed
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* Adegenet added to Suggests
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<br>
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<br>
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outbreaker2 1.1.2 (2021-01-25)
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==================
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### New features
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* Custom likelihoods now support local likelihood calculations via the optional
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  `i` argument; this will speed up likelihood calculations by avoiding global
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  calculations where these are unnecessary
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### Bug fixes
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* Random index shuffling in cpp_move_swap_cases to ensure correct mixing
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* Negative serial intervals now allowed in can_be_ances
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* ID labels fix in plotting functions
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<br>
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outbreaker2 1.1.1 (2020-01-31)
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==================
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### Bug fixes
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* Fixed uninitialized variable use
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* Updated email addresses
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outbreaker2 1.1.0 (2019-06-06)
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==================
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### Bug fixes
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* The genetic likelihood of the [original *outbreaker* paper](https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003457) was found to contain a minor mistake in accounting for unobserved generations of infection. As of June 7th 2019, *outbreaker2* will use the correct genetic likelihood published [here](https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006930).
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### New features
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* *outbreaker2* now accepts `epicontacts` objects for contact data
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* Contact tracing data can be directed or not by toggling `ctd_directed`
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* Cyclical consensus trees can now be avoided by using `method = 'decyle'` in `summary.outbreaker_chains`
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* Added support for case-labelling in `plot.outbreaker_chains`
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* Added progress bar
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outbreaker2 1.0.1 (2018-03-06)
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==================
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### Minor bug fixes
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* Fixed convolution operator to keep values in log space with high kappa (thanks to [@gtonkinhill](https://github.com/gtonkinhill/))
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* C++ garbage collection fix
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outbreaker2 1.0.0 (2017-11-24)
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==================
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### First version of outbreaker2!
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* This package re-implements and generalises the package
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  [*outbreaker*](https://CRAN.R-project.org/package=outbreaker)
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* It provides various functions to process input data, specify settings of the
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  method, and even specify custom priors, likelihoods, or movement functions.
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* Outputs of the main function `outbreaker` have a dedicated class extending the
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  regular `data.frame`, with `print`, `summary` and `plot` methods.
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* Its engine is written in C++, interfaced via Rcpp.
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* Its C++ API is accessible via the function `get_cpp_api()`.
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* Functionalities are documented in 4 vignettes.