API for stochvol
Efficient Bayesian Inference for Stochastic Volatility (SV) Models

Global functions
.onAttach Source code
contains_beta Source code
contains_indicators Source code
contains_tau Source code
default_fast_sv Man page
exrates Man page
extractors Man page
get_default_fast_sv Man page
get_default_general_sv Man page
get_omori_constants Source code
latent Man page
latent0 Man page
logret Man page Source code
logret.default Man page
mydensplot Source code
observations Man page
para Man page
paradensplot Man page Source code
paratraceplot Man page Source code
paratraceplot.svdraws Man page Source code
plot.svdraws Man page Source code
plot.svpredict Man page Source code
plot.svresid Source code
plot.svsim Source code
predict.svdraws Man page Source code
predlatent Man page
predvola Man page
predy Man page
print.summary.svsim Source code
print.sv_priorspec Source code
print.svsim Source code
priors Man page
residuals.svdraws Source code
runtime Man page
sampled_parameters Man page
specify_priors Man page
stochvol Man page
stochvol-package Man page
summary.svsim Source code
sv_beta Man page
sv_constant Man page
sv_exponential Man page
sv_gamma Man page
sv_infinity Man page
sv_inverse_gamma Man page
sv_multinormal Man page
sv_normal Man page
svbeta Man page
svlsample Man page Source code
svlsample_roll Man page
svsample Man page Source code
svsample2 Man page Source code
svsample_fast_cpp Man page Source code
svsample_general_cpp Man page Source code
svsample_roll Man page
svsim Man page Source code
svtau Man page
svtlsample Man page Source code
svtlsample_roll Man page
svtsample Man page Source code
svtsample_roll Man page
thinning Man page
update_fast_sv Man page Source code
update_general_sv Man page Source code
update_regressors Man page Source code
update_t_error Man page Source code
updatesummary Man page Source code
validate_and_process_expert Man page
vola Man page
volplot Man page Source code
stochvol documentation built on May 20, 2021, 5:08 p.m.