**v.0.4.6**

* I'm pleased to announce that `stackr` parallel mode now works with **Windows**!
Nothing to install, just need to choose the number of CPU,
the rest is done automatically.
* `haplo2colony` is deprecated. Use the new function called `write_colony`!
* `write_colony`: works similarly to the deprecated function `haplo2colony`,
      * with the major advantage that it's no longer restricted to STACKS
      haplotypes file.
      * The function is using the `tidy_genomic_data` module
      to import files. So you can choose one of the 10 input file formats supported
      by `stackr`!
      * other benefits also include the possibility to efficiently test MAF,
      snp.ld, haplotypes/snp approach, whitelist of markes,
      blacklist of individuals, blacklist of genotypes, etc. with the buit-it
      arguments.
      * the function only **keeps markers in common** between populations/groups
      and **is removing monomorphic markers**.
      * **Note:** there are several *defaults* in the function and
      it's a complicated file format, so make sure to read the function
      documentation, please, and `COLONY` manual.

DESCRIPTION

@@ -1,8 +1,8 @@
 Package: stackr
 Type: Package
 Title: GBS/RADseq Data Exploration, Manipulation and Visualization using R
-Version: 0.4.5
-Date: 2016-11-18
+Version: 0.4.6
+Date: 2016-11-29
 Encoding: UTF-8
 Authors@R: c(
   person("Thierry", "Gosselin", email = "thierrygosselin@icloud.com", role = c("aut", "cre")),

NAMESPACE

@@ -27,7 +27,6 @@ export(filter_snp_number)
 export(fis_summary)
 export(genomic_converter)
 export(genotypes_summary)
-export(haplo2colony)
 export(ibdg_fh)
 export(individuals2strata)
 export(keep_common_markers)
@@ -79,6 +78,7 @@ export(whitelist_loci_snp)
 export(whitelist_snp_vcf)
 export(write_arlequin)
 export(write_betadiv)
+export(write_colony)
 export(write_genepop)
 export(write_genind)
 export(write_genlight)
@@ -90,10 +90,8 @@ export(write_vcf)
 import(adegenet)
 import(dplyr)
 import(ggplot2)
-import(lazyeval)
 import(parallel)
 import(readr)
-import(reshape2)
 import(strataG)
 import(stringi)
 importFrom(adegenet,chromosome)
@@ -116,6 +114,7 @@ importFrom(dplyr,bind_cols)
 importFrom(dplyr,bind_rows)
 importFrom(dplyr,coalesce)
 importFrom(dplyr,contains)
+importFrom(dplyr,count)
 importFrom(dplyr,distinct)
 importFrom(dplyr,filter)
 importFrom(dplyr,filter_)
@@ -144,8 +143,12 @@ importFrom(dplyr,ungroup)
 importFrom(lazyeval,interp)
 importFrom(magrittr,"%>%")
 importFrom(methods,new)
+importFrom(parallel,clusterExport)
 importFrom(parallel,detectCores)
+importFrom(parallel,makeCluster)
 importFrom(parallel,mclapply)
+importFrom(parallel,parLapply)
+importFrom(parallel,stopCluster)
 importFrom(purrr,detect_index)
 importFrom(purrr,discard)
 importFrom(purrr,flatten)
@@ -158,6 +161,7 @@ importFrom(readr,read_delim)
 importFrom(readr,read_lines)
 importFrom(readr,read_tsv)
 importFrom(readr,write_delim)
+importFrom(readr,write_file)
 importFrom(readr,write_tsv)
 importFrom(reshape2,dcast)
 importFrom(reshape2,melt)
@@ -202,6 +206,7 @@ importFrom(tidyr,unite_)
 importFrom(utils,combn)
 importFrom(utils,count.fields)
 importFrom(utils,packageVersion)
+importFrom(utils,sessionInfo)
 importFrom(utils,write.table)
 importFrom(vcfR,extract.gt)
 importFrom(vcfR,read.vcfR)