Refactor interface, add many features

    pick ab82e6e Refactor interface, add many features

Author: kshedden

Project.toml

@@ -8,6 +8,7 @@ version = "0.10.2"
 
 [deps]
 Arpack = "7d9fca2a-8960-54d3-9f78-7d1dccf2cb97"
+DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
@@ -16,9 +17,8 @@ StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
 
 [compat]
 Arpack = "0.3, 0.4, 0.5"
-Statistics = "1"
 StatsAPI = "^1.3"
-StatsBase = "^0.33, 0.34"
+StatsBase = "^0.33"
 julia = "1.1"
 
 [extras]

src/MultivariateStats.jl

@@ -112,11 +112,11 @@ module MultivariateStats
     CA,                     # Type: correspondence analysis
 
     MCA,                    # Type: multiple correspondence analysis
-    ca,                     # fit and return a correspondence analysis
-    mca,                    # fit and return a multiple correspondence analysis
-    objectscores,           # return the object scores or coordinates from CA or MCA
-    variablescores,         # return the variable/category scores or coordinates from CA or MCA
-    inertia                 # return the inertia (derived from eigenvalues) for CA
+    object_coords,          # return the object scores or coordinates from CA or MCA
+    variable_coords,        # return the variable/category scores or coordinates from CA or MCA
+    inertia,                # return the inertia (derived from eigenvalues) for CA
+    ca_stats,               # fit statistics
+    quali_passive           # handle qualitative passive variables
 
     ## source files
     include("types.jl")