update project to include docstring extesnions; and updated compat as…

… needed; added some docstrings within neural directiort

Project.toml

@@ -9,6 +9,7 @@ DSP = "717857b8-e6f2-59f4-9121-6e50c889abd2"
 Discretizers = "6e83dbb3-75ca-525b-8ae2-3751f0dd50b4"
 Distributed = "8ba89e20-285c-5b6f-9357-94700520ee1b"
 Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
+DocStringExtensions = "ffbed154-4ef7-542d-bbb7-c09d3a79fcae"
 Flatten = "4c728ea3-d9ee-5c9a-9642-b6f7d7dc04fa"
 ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
 HypothesisTests = "09f84164-cd44-5f33-b23f-e6b0d136a0d5"
@@ -30,20 +31,21 @@ StatsFuns = "4c63d2b9-4356-54db-8cca-17b64c39e42c"
 TaylorSeries = "6aa5eb33-94cf-58f4-a9d0-e4b2c4fc25ea"
 
 [compat]
-BasisFunctionExpansions = "1.1"
+BasisFunctionExpansions = "1.1.1"
 DSP = "0.7.9"
 Discretizers = "3.2.3"
 Distributed = "1"
-Distributions = "0.25.109"
+Distributions = "0.25.111"
+DocStringExtensions = "0.9.3"
 Flatten = "0.4.3"
 ForwardDiff = "0.10.36"
 HypothesisTests = "0.11.0"
 ImageFiltering = "0.7.8"
-LineSearches = "7.2.0"
+LineSearches = "7.3.0"
 LinearAlgebra = "1"
 MAT = "0.10.7"
-NBInclude = "2.3.1"
 Missings = "1.2.0"
+NBInclude = "2.3.1"
 Optim = "1.9.4"
 Parameters = "0.12.3"
 Polynomials = "4.0.11"
@@ -53,5 +55,5 @@ Random = "1"
 SpecialFunctions = "2.4.0"
 StatsBase = "0.33.21"
 StatsFuns = "1.3.1"
-TaylorSeries = "0.18.0"
+TaylorSeries = "0.18.1"
 julia = "1.10"

src/PulseInputDDM.jl

@@ -7,6 +7,7 @@ and/or neural data from pulse-based evidence accumlation tasks.
 
 module PulseInputDDM
 
+using DocStringExtensions
 using StatsBase, Distributions, LineSearches
 using ForwardDiff, Distributed, LinearAlgebra
 using Optim, DSP, SpecialFunctions, MAT, Random

src/neural_model/neural_model.jl

@@ -57,19 +57,18 @@ end
 
 
 """
-    fit(model, options)
-
 Optimize model parameters for a `neuralDDM`.
 
+ $(SIGNATURES)
+
 Arguments: 
 
 - `model`: an instance of a `neuralDDM`.
-- `options`: some details related to the optimzation, such as which parameters were fit (`fit`), and the upper (`ub`) and lower (`lb`) bounds of those parameters.
+- `data`: an instance of a `neuralDDM`.
 
 Returns:
 
 - `model`: an instance of a `neuralDDM`.
-- `output`: results from [`Optim.optimize`](@ref).
 
 """
 function fit(model::neuralDDM, data;

src/neural_model/types.jl

@@ -1,4 +1,5 @@
 """
+$(TYPEDEF)
 """
 @with_kw struct neuralinputs{T1,T2}
     clicks::T1