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README.md

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@@ -9,15 +9,23 @@ This repo consists of two models of mouse behavior.
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2. A time-varying logistic regression model that learns the probability of licking on a flash by flash basis, using weights that vary over time by following random walk priors.
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## Poisson GLM
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Documentation in progress
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## Fitting the Time Varying Regression model
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## Time Varying Regression Model
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### Check if the Time Varying Regression model has already been fit to a session
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> import src/psy_tools as ps
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> ps.check_session(id)
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### Fitting the Time Varying Regression model
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> import src/psy_tools as ps
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> for ID in IDS:
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> ps.process_session(ID)
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> ps.plot_fit(ID)
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> ps.plot_session_summary(IDS)
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## Integrating the Time Varying Regression Model clustering with the flash_response_df
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### Integrating the Time Varying Regression Model clustering with the flash_response_df
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> import src/psy_tools as ps
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> import src/psy_sdk_tools as psd
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> from allensdk.brain_observatory.behavior.swdb import behavior_project_cache as bpc

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