============= psignifit API ============= Data Types ========== .. automodule:: pypsignifit.psignidata .. currentmodule:: pypsignifit.psignidata .. autosummary:: BootstrapInference BayesInference .. autoclass:: BootstrapInference :members: .. autoclass:: BayesInference :members: Diagnostic Plots ================ Default functions ----------------- The following functions will be imported by default: .. currentmodule:: pypsignifit.psigniplot .. autosummary:: GoodnessOfFit ConvergenceMCMC ParameterPlot ThresholdPlot plotSensitivity plotInfluential plotMultiplePMFs .. automodule:: pypsignifit.psigniplot :members: Subfunctions ------------ To get access to all plot functions in isolation, they can also be imported separately. Here is the documentation .. currentmodule:: pypsignifit.psigniplot .. autosummary:: drawaxes plotRd plotHistogram plotPMF plotThres plotGeweke plotChains plotParameterDist .. autofunction:: drawaxes .. autofunction:: plotRd .. autofunction:: plotHistogram .. autofunction:: plotppScatter .. autofunction:: plotPMF .. autofunction:: plotThres .. autofunction:: plotGeweke .. autofunction:: plotChains .. autofunction:: plotParameterDist Simulated Observers =================== psignifit allows to simulate a number of observers to access stability of psychometric functions. .. currentmodule:: pypsignifit.psigobservers .. autosummary:: Observer LinearSystemLearner CriterionSettingObserver BetaBinomialObserver .. autoclass:: Observer :members: .. autoclass:: LinearSystemLearner :members: .. autoclass:: CriterionSettingObserver :members: .. autoclass:: BetaBinomialObserver :members: Errors ====== .. automodule:: pypsignifit.psignierrors :members: