Move EKF to dev, formatting

.gitignore

@@ -1,3 +1,9 @@
+# IDE ignores
+.vscode/
+
+# Project ignores
+_dev/
+
 # Files generated by invoking Julia with --code-coverage
 *.jl.cov
 *.jl.*.cov

src/OptimalEstimation.jl

@@ -20,20 +20,15 @@ using DocStringExtensions   # Docstring utilities
 # INCLUDES
 # --------------------------------------------------------------------------- #
 
+include("common.jl")
 include("modules/modules.jl")
 
 # --------------------------------------------------------------------------- #
-# METHODS
+# EXPORTS
 # --------------------------------------------------------------------------- #
 
-
-"""
-    greet()
-
-Prints a boilerplate hello world for the package.
-"""
-greet() = print("Hello World!")
-
-export greet
+export
+    greet,
+    Filter
 
 end # module

src/common.jl

@@ -14,3 +14,14 @@ A collection of common definitions and utilities for the OptimalEstimation.jl pa
 An abstract type for all filters.
 """
 abstract type Filter end
+
+# --------------------------------------------------------------------------- #
+# METHODS
+# --------------------------------------------------------------------------- #
+
+"""
+    greet()
+
+Prints a boilerplate hello world for the package.
+"""
+greet() = print("Hello World!")

src/modules/EKF.jl

@@ -4,35 +4,4 @@
 An implementation of an Extended Kalman Filter (EKF).
 """
 
-"""
-    EKF < Filter
-
-Stateful representation of the Extended Kalman Filter (EKF)
-"""
-mutable struct EKF < Filter
-    # tkm1 = t_{k-1},     time at the (k-1)th time
-    # mkm1 = m_{k-1}^{+}, posterior mean at the (k-1)th time
-    # Pkm1 = P_{k-1}^{+}, posterior covariance at the (k-1)th time
-    # tk   = t_{k},       time at the kth time
-    # mkm  = m_{k}^{-},   prior mean at the kth time
-    # Pkm  = P_{k}^{-},   prior covariance at the kth time
-    # mkp  = m_{k}^{+},   posterior mean at the kth time
-    # Pkp  = P_{k}^{+},   posterior covariance at the kth time
-    # Wk   = W_{k},       residual covariance at the kth time
-    # Rk   = R_{k},       measurement noise covariance at the kth time
-
-    tkm1
-    mkm1    # Posterior mean at (k-1)th time
-    Pkm1
-    tk
-    mkm
-    Pkm
-    mkp
-    Pkp
-    Wk
-    Rk
-end
-
-function update!(filter::EKF)
-
-end
+# TODO