Welcome to pypsignifit’s documentation!

Note that the “old” version of psignifit ( Version 2.5.6 and before, also known as: psignifit-classic) can still be found at http://www.bootstrap-software.org/psignifit/.

The sourceforge page for the current Version is at: http://sourceforge.net/projects/psignifit/.

Contents:

• Welcome to Psignifit 3.0
  • Getting in touch
  • Authors and Contributors
  • Conventions used throughout this Document
  • How to install
  • How to cite
• A quick start to pypsignifit
  • Getting started
  • Experimental scenario and data format
• Constrained Maximum Likelihood and Bootstrap Inference
  • Fitting
  • Goodness of fit assessment
  • Sensitivity Analysis
  • Parameter plots
  • Reparameterizing the model
  • References
• Bayesian inference
  • Convergence diagnostics
  • Goodness of fit
  • Posterior distributions
  • References
• Detecting influential observations using psignifit
  • Influential observations in bootstrapped data
  • Influential observations in Bayesian Inference
  • References
• Specifying the experimental design
  • A note on yes-no designs
  • References
• Specifying the shape of the psychometric function
  • Valid sigmoids
  • Valid cores
  • Combining sigmoids and cores
  • References
• Bayesian model fitting and prior selection
  • The idea of Bayesian inference
  • Specification of prior distributions
  • Prior distributions for lapse rate and guessing rate
  • Prior distributions for parameters of the psychometric function
• Contributing to Psignifit 3.0
  • Software Architecture
  • Dependencies
  • Build System
  • Git-Repositories
  • Execute without installation
  • Maintainers Notes
  • Extending
• psignifit API
  • Data Types
  • Diagnostic Plots
  • Simulated Observers
  • Errors
• Swignifit Docs
• psignifit TODO
  • Python interface (pypsignifit)
  • Python interface (swignifit/psypy)
  • C++ engine
  • Documentation
  • R statistical computing language
  • Recently done
• Linux (Debian/Ubuntu)
  • Obtaining the Sources
  • Installing Dependencies
  • Installing Psignifit for Python (python-psignifit)
  • Installing the Command Line Interface (cli)
  • Building the documentation
• Mac OSX
  • Installing the command line interface (optional)
• Windows
  • Installing the command line interface (optional)
  • Testing your installation
• Psignifit for Matlab users
  • Obtaining the Sources
  • Installing the Matlab Version of Psignifit (mspignifit)

Indices and tables

• Index
• Module Index
• Search Page