Navigation
index
modules
|
Sam 0.5 documentation
»
Index
A
|
B
|
C
|
D
|
E
|
G
|
I
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
U
A
addAdaptiveMetropolis() (in module sam.Sam)
addHMC() (in module sam.Sam)
addMetropolis() (in module sam.Sam)
B
betaCDF() (in module sam)
betaDLDA() (in module sam)
betaDLDB() (in module sam)
betaLogPDF() (in module sam)
betaMean() (in module sam)
betaMode() (in module sam)
betaPDF() (in module sam)
betaRand() (in module sam)
betaStd() (in module sam)
betaVar() (in module sam)
binomialCDF() (in module sam)
binomialDLDP() (in module sam)
binomialLogPDF() (in module sam)
binomialMean() (in module sam)
binomialMode() (in module sam)
binomialPDF() (in module sam)
binomialRand() (in module sam)
binomialStd() (in module sam)
binomialVar() (in module sam)
C
clearSamplers() (in module sam.Sam)
D
disableSurrogate() (in module sam.Sam)
draw() (sam.GaussianProcess method)
E
enableSurrogate() (in module sam.Sam)
exponentialCDF() (in module sam)
exponentialDLDL() (in module sam)
exponentialLogPDF() (in module sam)
exponentialMean() (in module sam)
exponentialMode() (in module sam)
exponentialPDF() (in module sam)
exponentialRand() (in module sam)
exponentialStd() (in module sam)
exponentialVar() (in module sam)
G
gammaCDF() (in module sam)
gammaDLDA() (in module sam)
gammaDLDB() (in module sam)
gammaDLDX() (in module sam)
gammaLogPDF() (in module sam)
gammaMean() (in module sam)
gammaMode() (in module sam)
gammaPDF() (in module sam)
gammaRand() (in module sam)
gammaStd() (in module sam)
gammaVar() (in module sam)
GaussianProcess (class in sam)
getAIC() (in module sam.Sam)
getBIC() (in module sam.Sam)
getDIC() (in module sam.Sam)
getStats() (in module sam.Sam)
gradient() (sam.GaussianProcess method)
I
invGammaCDF() (in module sam)
invGammaDLDA() (in module sam)
invGammaDLDB() (in module sam)
invGammaDLDX() (in module sam)
invGammaLogPDF() (in module sam)
invGammaMean() (in module sam)
invGammaMode() (in module sam)
invGammaPDF() (in module sam)
invGammaRand() (in module sam)
invGammaStd() (in module sam)
invGammaVar() (in module sam)
L
logLikelihood() (sam.GaussianProcess method)
M
mvNormalLogPDF() (in module sam)
mvNormalPDF() (in module sam)
mvNormalRand() (in module sam)
N
normalCDF() (in module sam)
normalDLDM() (in module sam)
normalDLDS() (in module sam)
normalDLDV() (in module sam)
normalDLDX() (in module sam)
normalLogPDF() (in module sam)
normalMean() (in module sam)
normalMode() (in module sam)
normalPDF() (in module sam)
normalRand() (in module sam)
normalStd() (in module sam)
normalVar() (in module sam)
O
optimizeParams() (sam.GaussianProcess method)
P
poissonCDF() (in module sam)
poissonDLDL() (in module sam)
poissonLogPDF() (in module sam)
poissonMean() (in module sam)
poissonMode() (in module sam)
poissonPDF() (in module sam)
poissonRand() (in module sam)
poissonStd() (in module sam)
poissonVar() (in module sam)
precompute() (sam.GaussianProcess method)
predict() (sam.GaussianProcess method)
printSamplers() (in module sam.Sam)
R
results (in module sam.Sam)
run() (in module sam.Sam)
S
Sam (class in sam)
sam (module)
,
[1]
,
[2]
samples (in module sam.Sam)
setY() (sam.GaussianProcess method)
summary() (in module sam.Sam)
U
uniformCDF() (in module sam)
uniformDLDL() (in module sam)
uniformDLDU() (in module sam)
uniformLogPDF() (in module sam)
uniformMean() (in module sam)
uniformPDF() (in module sam)
uniformRand() (in module sam)
uniformStd() (in module sam)
uniformVar() (in module sam)
Quick search
Navigation
index
modules
|
Sam 0.5 documentation
»