**v.0.2.6**

* fst_WC84 is now a separate and very fast function that can compute: the overall and pairwise Weir and Cockerham 1984 Theta/Fst. Bootstrap resampling of markers is avalaible to build Confidence Intervals (For Louis Bernatchez and his students;). The estimates are available as a data frame and a matrix with upper diagonal filled with Fst values and lower diagonal filled with the confidence intervals.

DESCRIPTION

@@ -1,8 +1,8 @@
 Package: assigner
 Type: Package
 Title: Assignment Analysis with GBS/RADseq Data using R
-Version: 0.2.5
-Date: 2016-05-04
+Version: 0.2.6
+Date: 2016-05-15
 Encoding: UTF-8
 Authors@R: c(
   person("Thierry", "Gosselin", email = "[email protected]", role = c("aut", "cre")),
@@ -16,7 +16,6 @@ Depends:
 Imports:
     adegenet,
     data.table,
-    dplyr,
     ggplot2,
     lazyeval,
     parallel,
@@ -25,7 +24,9 @@ Imports:
     readr,
     stringi,
     stringr,
-    tidyr
+    tidyr,
+    utils,
+    dplyr
 Suggests:
     devtools,
     hierfstat,

README.md

@@ -142,6 +142,9 @@ The Amazon image can be imported into Google Cloud Compute Engine to start a new
 
 ## New
 
+**v.0.2.6**
+* fst_WC84 is now a separate and very fast function that can compute: the overall and pairwise Weir and Cockerham 1984 Theta/Fst. Bootstrap resampling of markers is avalaible to build Confidence Intervals (For Louis Bernatchez and his students;). The estimates are available as a data frame and a matrix with upper diagonal filled with Fst values and lower diagonal filled with the confidence intervals.
+
 **v.0.2.5**
 * cleaner code for strata section
 * bug fix restricted to `assignment_ngs` + `assignment.analysis = "adegenet"` + `sampling.method = "ranked"`.