doi/Su_et_al_2023_HuePrior: Datasets and codes of "A Bayesian observer model reveals a prior for natural daylights in hue perception" @ 6bdfcc5b66bc492a63bb440a33298d0d402fa126

yannansoda 48a3208c03 gin commit from red		1 rok pred
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model_estimates_v2	48a3208c03 gin commit from red	1 rok pred
pf_estimates	48a3208c03 gin commit from red	1 rok pred
scaled_H_ensemble_mean_dev	48a3208c03 gin commit from red	1 rok pred
__init__.py	48a3208c03 gin commit from red	1 rok pred
color4plot.py	48a3208c03 gin commit from red	1 rok pred
estimate_likelihood.py	48a3208c03 gin commit from red	1 rok pred
estimate_prior.py	48a3208c03 gin commit from red	1 rok pred
evaluate_prior.py	48a3208c03 gin commit from red	1 rok pred
fit_bstrp.py	48a3208c03 gin commit from red	1 rok pred
fit_curves.py	48a3208c03 gin commit from red	1 rok pred
fit_noise.py	48a3208c03 gin commit from red	1 rok pred
fit_pf_bayes.py	48a3208c03 gin commit from red	1 rok pred
fit_pf_nls.py	48a3208c03 gin commit from red	1 rok pred
get_MAP.py	48a3208c03 gin commit from red	1 rok pred
load_data.py	48a3208c03 gin commit from red	1 rok pred
plot_model_estimates.py	48a3208c03 gin commit from red	1 rok pred
plot_pf_estimates.py	48a3208c03 gin commit from red	1 rok pred
rgb4plot.yaml	48a3208c03 gin commit from red	1 rok pred