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Introducing Response Time Modeling (facebookresearch#361)
Summary: Pull Request resolved: facebookresearch#361 Implements https://arxiv.org/abs/2306.06296 (Response Time Improves Choice Prediction and Function Estimation for Gaussian Process Models of Perception and Preferences, UAI 2024). Code to make figures etc in the paper will be available at https://github.com/facebookresearch/response-time-gps. Differential Revision: D59561138
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aepsych/__init__.py

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from . import acquisition, config, factory, generators, models, strategy, utils
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from .config import Config
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from .distributions import RTDistWithUniformLapseRate, LogNormalDDMDistribution, ShiftedGammaDDMDistribution, ShiftedInverseGammaDDMDistribution, ShiftedLogNormalDDMDistribution
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from .likelihoods import BernoulliObjectiveLikelihood
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from .models import GPClassificationModel
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from .strategy import SequentialStrategy, Strategy
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"BernoulliObjectiveLikelihood",
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"BernoulliLikelihood",
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"GaussianLikelihood",
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"RTDistWithUniformLapseRate",
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"LogNormalDDMDistribution",
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"ShiftedGammaDDMDistribution",
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"ShiftedInverseGammaDDMDistribution",
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"ShiftedLogNormalDDMDistribution",
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]
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