make logpdf return vector for DDM

Author: itsdfish

Project.toml

@@ -1,7 +1,7 @@
 name = "SequentialSamplingModels"
 uuid = "0e71a2a6-2b30-4447-8742-d083a85e82d1"
 authors = ["itsdfish"]
-version = "0.12.4"
+version = "0.12.5"
 
 [deps]
 Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"

src/DDM.jl

@@ -127,18 +127,6 @@ end
 logpdf(d::DDM, choice, rt; ϵ::Real = 1.0e-12) = log(pdf(d, choice, rt; ϵ))
 #logpdf(d::DDM, t::Real; ϵ::Real = 1.0e-12) = log(pdf(d, t; ϵ))
 
-function logpdf(d::DDM, data::T) where {T <: NamedTuple}
-    return sum(logpdf.(d, data...))
-end
-
-function logpdf(dist::DDM, data::Array{<:Tuple, 1})
-    LL = 0.0
-    for d in data
-        LL += logpdf(dist, d...)
-    end
-    return LL
-end
-
 logpdf(d::DDM, data::Tuple) = logpdf(d, data...)
 
 #########################################

src/LBA.jl

@@ -131,7 +131,6 @@ end
 
 function pdf(d::AbstractLBA{T, T1}, c, rt) where {T, T1 <: Vector{<:Real}}
     (; τ, A, k, ν, σ) = d
-    b = A + k
     den = 1.0
     rt < τ ? (return 1e-10) : nothing
     for i ∈ 1:length(ν)