Pcm for Python
stable

Contents:

  • Installation
  • Introduction
  • Models Specification
  • Model Fitting
  • Visualisation
  • Inference
  • Regularized regression
  • Application examples
  • Mathematical details
  • API reference
    • Dataset module
    • Model module
    • Inference module
    • Optimization module
    • Regression module
    • Matrix module
    • Util module
    • Simulation module
  • References
Pcm for Python
  • API reference
  • Edit on GitHub

API reference

  • Dataset module
    • Dataset
  • Model module
    • Model Classes
    • Noise Model Classes
  • Inference module
    • fit_model_group()
    • fit_model_group_crossval()
    • fit_model_individ()
    • get_scale0()
    • group_to_individ_param()
    • likelihood_group()
    • likelihood_individ()
    • sample_model_group()
    • set_up_fit()
    • set_up_fit_group()
  • Optimization module
    • best_algorithm()
    • mcmc()
    • newton()
  • Regression module
    • RidgeDiag
    • compute_iVr()
    • likelihood_diagYTY_ZZT()
    • likelihood_diagYYT_ZTZ()
    • likelihood_diagYYT_ZZT()
  • Matrix module
    • centering()
    • indicator()
    • pairwise_contrast()
  • Util module
    • G_to_dist()
    • check_grad()
    • classical_mds()
    • est_G_crossval()
    • make_pd()
  • Simulation module
    • make_dataset()
    • make_design()
    • make_signal()
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© Copyright 2020, Jörn Diedrichsen. Revision ba82d26e.

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