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**v.0.4.0**
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* `assignment_ngs` and `assignment_mixture` code cleaning to prep for CRAN and
make them easier to debug.
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thierrygosselin committed Dec 8, 2016
1 parent 5c26386 commit a4a0c16
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4 changes: 2 additions & 2 deletions DESCRIPTION
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Package: assigner
Type: Package
Title: Assignment Analysis with GBS/RADseq Data using R
Version: 0.3.9
Date: 2016-11-28
Version: 0.4.0
Date: 2016-12-08
Encoding: UTF-8
Authors@R: c(
person("Thierry", "Gosselin", email = "[email protected]", role = c("aut", "cre")),
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9 changes: 9 additions & 0 deletions NAMESPACE
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export("%>%")
export(.assigner_parallel)
export(assignment_adegenet)
export(assignment_function)
export(assignment_gsi_sim)
export(assignment_marker_loop)
export(assignment_mixture)
export(assignment_ngs)
export(assignment_random)
export(assignment_ranking)
export(dlr)
export(fst_NEI87)
export(fst_WC84)
export(gsi_sim_binary)
export(import_subsamples)
export(import_subsamples_fst)
export(install_gsi_sim)
export(marker_selection)
export(mclapply_win)
export(mixture_baseline_intersect)
export(subsampling_data)
export(write_gsi_sim)
import(ggplot2)
importFrom(SNPRelate,snpgdsClose)
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7 changes: 5 additions & 2 deletions NEWS.md
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# assigner v.0.4.0

* `assignment_ngs` and `assignment_mixture` code cleaning to prep for CRAN and
make them easier to debug.

# assigner v.0.3.9
* I'm pleased to announce that `assigner` now works in parallel with **Windows**
* bug fix introduce in last commit in `write_gsi_sim` where the file was not
created properly from an internal module.



# assigner v.0.3.8
* `assigner::fst_WC84` can now use [SNPRelate](https://github.com/zhengxwen/SNPRelate)
to compute Fst. The confidence intervals are not implemented, yet.
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