Index
_
|
A
|
B
|
C
|
D
|
F
|
G
|
I
|
K
|
L
|
M
|
N
|
P
|
R
|
S
|
T
_
_log_obs (pbjam.asy_peakbag.asymptotic_fit attribute)
_obs (pbjam.asy_peakbag.asymptotic_fit attribute)
_reflist (pbjam.jar.references attribute)
A
acceptance (pbjam.mcmc.mcmc attribute)
asy_fit (pbjam.peakbag.peakbag attribute)
asymp_spec_model (class in pbjam.asy_peakbag)
asymptotic_fit (class in pbjam.asy_peakbag)
B
bibdict (pbjam.jar.references attribute)
bibfile (pbjam.jar.references attribute)
bounds (pbjam.mcmc.nested attribute)
C
chain (pbjam.mcmc.mcmc attribute)
D
developer_mode (pbjam.asy_peakbag.asymptotic_fit attribute)
F
f (pbjam.asy_peakbag.asymptotic_fit attribute)
(pbjam.peakbag.peakbag attribute)
(pbjam.star.star attribute)
flatchain (pbjam.mcmc.mcmc attribute)
flatlnlike (pbjam.mcmc.mcmc attribute)
fold() (pbjam.mcmc.mcmc method)
G
get_bp_rp() (in module pbjam.star)
get_modeIDs() (pbjam.asy_peakbag.asymptotic_fit method)
get_percentiles() (in module pbjam.jar)
get_priorpath() (in module pbjam.jar)
I
init_model() (pbjam.peakbag.peakbag method)
isvalid() (in module pbjam.jar)
K
kde (class in pbjam.priors)
(pbjam.asy_peakbag.asymptotic_fit attribute)
kde_predict() (pbjam.priors.kde method)
kde_sampler() (pbjam.priors.kde method)
L
likelihood (pbjam.mcmc.nested attribute)
likelihood() (pbjam.asy_peakbag.asymptotic_fit method)
(pbjam.priors.kde method)
lnlike (pbjam.mcmc.mcmc attribute)
log_likelihood() (pbjam.mcmc.nested method)
log_prior() (pbjam.mcmc.nested method)
logpost() (pbjam.mcmc.mcmc method)
lor() (pbjam.peakbag.peakbag method)
M
make_kde() (pbjam.priors.kde method)
make_start() (pbjam.peakbag.peakbag method)
mcmc (class in pbjam.mcmc)
model (pbjam.asy_peakbag.asymptotic_fit attribute)
model() (pbjam.asy_peakbag.asymp_spec_model method)
(pbjam.peakbag.peakbag method)
N
names (pbjam.mcmc.nested attribute)
ndim (pbjam.mcmc.mcmc attribute)
nested (class in pbjam.mcmc)
normal() (in module pbjam.jar)
P
par_names (pbjam.asy_peakbag.asymptotic_fit attribute)
pb_model_type (pbjam.session.session attribute)
pbjam.asy_peakbag (module)
pbjam.jar (module)
pbjam.mcmc (module)
pbjam.peakbag (module)
pbjam.plotting (module)
pbjam.priors (module)
pbjam.session (module)
pbjam.star (module)
peakbag (class in pbjam.peakbag)
plot_corner() (pbjam.plotting.plotting method)
plot_echelle() (pbjam.plotting.plotting method)
plot_prior() (pbjam.plotting.plotting method)
plot_spectrum() (pbjam.plotting.plotting method)
plot_start() (pbjam.plotting.plotting method)
plotting (class in pbjam.plotting)
prior (pbjam.mcmc.nested attribute)
prior() (pbjam.asy_peakbag.asymptotic_fit method)
(pbjam.priors.kde method)
prior_data (pbjam.asy_peakbag.asymptotic_fit attribute)
prior_file (pbjam.asy_peakbag.asymptotic_fit attribute)
R
references (class in pbjam.jar)
remove_outsiders() (pbjam.peakbag.peakbag method)
run_asy_peakbag() (pbjam.star.star method)
run_kde() (pbjam.star.star method)
run_peakbag() (pbjam.star.star method)
S
s (pbjam.asy_peakbag.asymptotic_fit attribute)
(pbjam.star.star attribute)
sampler (pbjam.mcmc.mcmc attribute)
sel (pbjam.asy_peakbag.asymptotic_fit attribute)
select_prior_data() (pbjam.priors.kde method)
session (class in pbjam.session)
snr (pbjam.peakbag.peakbag attribute)
star (class in pbjam.star)
stars (pbjam.session.session attribute)
start (pbjam.asy_peakbag.asymptotic_fit attribute)
start_samples (pbjam.asy_peakbag.asymptotic_fit attribute)
stationarity() (pbjam.mcmc.mcmc method)
T
to_log10() (in module pbjam.jar)
trim_ladder() (pbjam.peakbag.peakbag method)
PBjam
Navigation
Installation
User Guide
API
License
Help & Contact
Related Topics
Documentation overview
Quick search