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using Documenter
using SequentialSamplingModels
using Turing
using Plots
makedocs(
warnonly = true,
sitename = "SequentialSamplingModels",
format = Documenter.HTML(
assets = [
asset(
"https://fonts.googleapis.com/css?family=Montserrat|Source+Code+Pro&display=swap",
class = :css
)
],
collapselevel = 1
),
modules = [
SequentialSamplingModels,
Base.get_extension(SequentialSamplingModels, :TuringExt),
Base.get_extension(SequentialSamplingModels, :PlotsExt)
],
pages = [
"Home" => "index.md",
"Models" => [
"Single Choice Models" => [
"Ex-Gaussian" => "ex_gaussian.md",
"Shifted Log Normal" => "shifted_lognormal.md",
"Wald" => "wald.md",
"Wald Mixture" => "wald_mixture.md"
],
"Multi-choice Models" => [
"Single Attribute Models" => [
"Drift Diffusion Model (DDM)" => "DDM.md",
"Leaky Competing Accumulator (LCA)" => "lca.md",
"Linear Ballistic Accumulator (LBA)" => "lba.md",
"Log Normal Race (LNR)" => "lnr.md",
"Poisson Race" => "poisson_race.md",
"Racing Diffusion Model (RDM)" => "rdm.md",
"Starting-time Drift Diffusion Model (stDDM)" => "stDDM.md"
],
"Multi-attribute Models" => [
"Muti-attribute Attentional Drift Diffusion Model" => "maaDDM.md",
"Multi-attribute Decision Field Theory" => "mdft.md",
"Multi-attribute Linear Ballistic Accumulator" => "mlba.md"
]
],
"Alternative Geometries" => [
"Circular Drift Diffusion Model (CDDM)" => "cddm.md"
]
],
"Parameter Estimation" => [
"Mode Estimation" => "mode_estimation.md",
"Simple Bayesian Model" => "turing_simple.md",
"Advanced Model Specification" => "turing_advanced.md",
"Hierarchical Models" => "turing_hierarchical.md",
"Amorized Inference" => "neuralestimators_amorized.md",
],
"Model Comparison" => [
"Bayes Factors" => "bayes_factor.md",
"PSIS-LOO" => "loo_compare.md"
],
"Predictive Distributions" => "predictive_distributions.md",
"Plotting" => [
"Basic Example" => "basic_plot_example.md",
"Changing the Layout" => "layout.md",
"Plot Model Process" => "plot_model.md"
],
"Performance Tips" => "performance_tips.md",
"API" => "api.md",
"Developer Guide" => "developer_guide.md"
]
)
deploydocs(repo = "github.com/itsdfish/SequentialSamplingModels.jl.git")