MLE (bristlecone) | bristlecone

bristlecone

MLE Module

Namespace: Bristlecone.Data
Assembly: Bristlecone.dll

Functions of loading and saving Maximum Likelihood Estimates from model fits

Types

Type	Description
IndividualMLE

Functions and values

Function or value	Description
`MLE.load directory subject modelSystem modelId` Full Usage: `MLE.load directory subject modelSystem modelId` Parameters: directory : `string` - The results folder where files are saved subject : `string` - An identifier for the subject of the fit modelSystem : `ModelSystem<'modelTimeUnit>` modelId : `string` - An identifier for the model that was fit Returns: `(Guid * (float * ParameterPool)) seq` A sequence of tuples which contain the analysis ID followed by another tuple that contains the likelihood and theta (parameter set)	Load the Maximum Likelihood Estimates from the given directory for a given subject and model combination. directory : `string` The results folder where files are saved subject : `string` An identifier for the subject of the fit modelSystem : `ModelSystem<'modelTimeUnit>` modelId : `string` An identifier for the model that was fit Returns: `(Guid * (float * ParameterPool)) seq` A sequence of tuples which contain the analysis ID followed by another tuple that contains the likelihood and theta (parameter set)
`MLE.loadBest directory subject modelSystem modelId` Full Usage: `MLE.loadBest directory subject modelSystem modelId` Parameters: directory : `string` - The results folder where files are saved subject : `string` - An identifier for the subject of the fit modelSystem : `ModelSystem<'u>` modelId : `string` - An identifier for the model that was fit Returns: `Guid * (float * ParameterPool)` A tuple containing the analysis ID followed by another tuple that contains the likelihood and theta (parameter set)	Load the Maximum Likelihood Estimate (with the lowest -log Liklihood) from the given directory for a given subject and model combination. directory : `string` The results folder where files are saved subject : `string` An identifier for the subject of the fit modelSystem : `ModelSystem<'u>` modelId : `string` An identifier for the model that was fit Returns: `Guid * (float * ParameterPool)` A tuple containing the analysis ID followed by another tuple that contains the likelihood and theta (parameter set)
`MLE.save directory subject modelId result` Full Usage: `MLE.save directory subject modelId result` Parameters: directory : `string` subject : `string` modelId : `string` result : `EstimationResult<'a, 'b, 'c>`	directory : `string` subject : `string` modelId : `string` result : `EstimationResult<'a, 'b, 'c>`