Remove julia 1.2 from CI, update README

.github/workflows/ci.yml

@@ -13,7 +13,6 @@ jobs:
       fail-fast: false
       matrix:
         version:
-          - '1.2'
           - '1.6' # current LTS
           - '1' # automatically expands to the latest stable 1.x release of Julia
         os:

README.md

@@ -9,7 +9,7 @@ FlashWeave predicts ecological interactions between microbes from large-scale co
 
 ## Installation ##
 
-To install Julia, please follow instructions on https://github.com/JuliaLang/julia. The preferred way is to obtain a binary from https://julialang.org/downloads/. Make sure you install Julia 1.2 or above, the versions currently supported by FlashWeave.
+To install Julia, please follow instructions on https://github.com/JuliaLang/julia. The preferred way is to obtain a binary from https://julialang.org/downloads/. Make sure you install Julia 1.6 or above, the versions currently supported by FlashWeave.
 
 In an interactive Julia session, you can then install FlashWeave after typing `]` via
 

src/hiton.jl

@@ -400,7 +400,9 @@ end
 
 ## convenience function for learning local neighborhoods
 function si_HITON_PC(T, data; test_name, levels=isdiscrete(test_name) ? get_levels(data) : Int[], 
-    max_vals=isdiscrete(test_name) ? get_max_vals(data) : Int[], cor_mat=zeros(Float32, 0, 0), kwargs...)
-univar_res = FlashWeave.pw_univar_neighbors(data, test_name=test_name, levels=levels, max_vals=max_vals, cor_mat=cor_mat)
-FlashWeave.si_HITON_PC(T, data, levels, max_vals, cor_mat; test_name=test_name, univar_nbrs=univar_res[T], kwargs...)
+    max_vals=isdiscrete(test_name) ? get_max_vals(data) : Int[], cor_mat=zeros(Float32, 0, 0), n_obs_min=0, kwargs...)
+    univar_res = pw_univar_neighbors(data, test_name=test_name, levels=levels, max_vals=max_vals, cor_mat=cor_mat, 
+        n_obs_min=n_obs_min)
+    si_HITON_PC(T, data, levels, max_vals, cor_mat; test_name=test_name, univar_nbrs=univar_res[T], n_obs_min=n_obs_min,
+        kwargs...)
 end