API for petedodd/MCIR
Monte Carlo Inference Routines: A Collection of Generic Algorithms for Bayesian Inference

Global functions
.onAttach Source code
AMMHstepper Source code
MHadapt Source code
MHstepper Source code
PTMCMC Source code
PTMCMCcontinue Source code
bm Source code
bmmat Source code
build_tree Source code
calc_ellipsoid Source code
continueAIESamples Source code
corplot Man page Source code
draw_from_ellipsoid Source code
draw_multinest Source code
enest Source code
espersec Source code
ess Source code
estvssamp Source code
factorSliceSampler Source code
find_reasonable_epsilon Source code
getAIESamples Man page Source code
getEmpSig Source code
getSliceSamples Man page Source code
getlist Source code
imse Source code
imsemat Source code
in_ellipsoids Source code
inelipse Source code
leapfrog Source code
logplus Source code
nest2pos Source code
nested_sampler Source code
nuts_da Man page Source code
optimal_ellipsoids Source code
plotAIELLchain Source code
plotAIEchains Source code
plotAIEposts Source code
plot_2d_livepoints_with_ellipses Source code
postprocess Source code
processAIESamples Source code
random_g Source code
rescale_parameters Source code
rsph Source code
scale_parameters Source code
split_ellipsoid Source code
stepOutSS Source code
stop_criterion Source code
tr Source code
tuneFactors Source code
update_step Source code
petedodd/MCIR documentation built on Jan. 9, 2020, 9:18 a.m.