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gptools documentation

  • Background
  • Examples
    • Getting started
    • Logistic regression
    • Effect and importance of padding
    • Gaussian process Poisson regression
    • Density of T. panamensis on a 50 ha plot in Panama
    • Passengers on the London Underground network
    • Stan introduction
  • Function Reference
    • Likelihood Evaluations Based on Fast Fourier Transforms
    • Gaussian Processes on Graphs
    • Python Interface
    • Utility Functions

Index

C | G | M | S

C

  • compile_model() (in module gptools.stan)

G

  • get_include() (in module gptools.stan)
  • gptools.stan
    • module

M

  • module
    • gptools.stan

S

  • set_cmdstanpy_log_level() (in module gptools.stan)

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