Index

A

arg_constraints (mcmc.OrderedNormal attribute)

assess_causality() (in module causality)

C

causality module cdf() (mcmc.OrderedNormal method)

check_valid_covmat() (in module likelihoods) compute_bias() (in module mcmc) compute_hsic() (in module causality) compute_information_criterion() (regressor.RoxyRegressor method)

F

find_best_gmm() (regressor.RoxyRegressor method)

G

get_param_index() (regressor.RoxyRegressor method)

gradient() (regressor.RoxyRegressor method)

I

icdf() (mcmc.OrderedNormal method)

L

Likelihood_GMM (class in mcmc) Likelihood_MNR (class in mcmc) Likelihood_MNR_MV (class in mcmc) Likelihood_MNR_uplims (class in mcmc) Likelihood_prof (class in mcmc) Likelihood_prof_MV (class in mcmc) Likelihood_unif (class in mcmc) Likelihood_unif_MV (class in mcmc) likelihood_warnings() (in module likelihoods) likelihoods module

log_cdf() (mcmc.OrderedNormal method) log_prob() (mcmc.Likelihood_GMM method) (mcmc.Likelihood_MNR method) (mcmc.Likelihood_MNR_MV method) (mcmc.Likelihood_MNR_uplims method) (mcmc.Likelihood_prof method) (mcmc.Likelihood_prof_MV method) (mcmc.Likelihood_unif method) (mcmc.Likelihood_unif_MV method) (mcmc.OrderedNormal method)

M

mcmc module mcmc() (regressor.RoxyRegressor method) mcmc2opt_index() (regressor.RoxyRegressor method) mean (mcmc.OrderedNormal property)

module causality likelihoods mcmc plotting regressor

N

negloglike() (regressor.RoxyRegressor method) negloglike_gmm() (in module likelihoods) negloglike_mnr() (in module likelihoods) negloglike_mnr_mv() (in module likelihoods)

negloglike_mnr_uplims() (in module likelihoods) negloglike_prof() (in module likelihoods) negloglike_prof_mv() (in module likelihoods) negloglike_unif() (in module likelihoods) negloglike_unif_mv() (in module likelihoods)

O

optimise() (regressor.RoxyRegressor method)

OptResult (class in regressor) OrderedNormal (class in mcmc)

P

plotting module

posterior_predictive_plot() (in module plotting)

R

regressor module

reparametrized_params (mcmc.OrderedNormal attribute) RoxyRegressor (class in regressor)

S

sample() (mcmc.Likelihood_GMM method) (mcmc.Likelihood_MNR method) (mcmc.Likelihood_MNR_MV method) (mcmc.Likelihood_MNR_uplims method) (mcmc.Likelihood_prof method) (mcmc.Likelihood_prof_MV method) (mcmc.Likelihood_unif method) (mcmc.Likelihood_unif_MV method) (mcmc.OrderedNormal method)

samples_to_array() (in module mcmc) second_derivative() (regressor.RoxyRegressor method) support (mcmc.OrderedNormal attribute)

T

trace_plot() (in module plotting)

triangle_plot() (in module plotting)

V

value() (regressor.RoxyRegressor method)

variance (mcmc.OrderedNormal property)