Index

_ | A | B | C | D | E | F | G | H | I | K | L | M | N | P | Q | R | S | U | V | W

_

_logpdf{T<:Real}() (built-in function)

A

ABC() (built-in function)
AbstractChains
AMM() (built-in function)
AMMVariate() (built-in function)
AMWG() (built-in function)
AMWGVariate() (built-in function)
autocor() (built-in function)

B

BHMC() (built-in function)
BHMCVariate() (built-in function)
BMC3() (built-in function)
BMC3Variate() (built-in function)
BMG() (built-in function)
BMGVariate() (built-in function)

C

cat() (built-in function)
Chains
Chains Types
Chains() (built-in function)
ChainSummary
changerate() (built-in function)
Convergence Diagnostics
Gelman-Rubin-Brooks
Geweke
Heidelberger-Welch
Raftery-Lewis
cor() (built-in function)

D

Dependent Types
AbstractDependent
describe() (built-in function)
Deviance Information Criterion (DIC)
DGS() (built-in function)
DGSVariate() (built-in function)
dic() (built-in function)
DiscreteVariate() (built-in function)
Distributions
Block-Diagonal Normal
Flat
Matrix-Variate
Multivariate
Univariate
User-Defined Multivariate
User-Defined Univariate
draw() (built-in function), [1]

E

Examples
Asthma: State Transitions in a Clinical Trial
Birats: A Bivariate Normal Hierarchical Model
Blocker: Random Effects Meta-Analysis of Clinical Trials
Bones: Latent Trait Model for Multiple Ordered Categorical Responses
Dogs: Loglinear Model for Binary Data
Dyes: Variance Components Model
Epilepsy: Repeated Measures on Poisson Counts
Equiv: Bioequivalence in a Cross-Over Trial
Eyes: Normal Mixture Model
GK: Approximate Bayesian Computation
Inhalers: Ordered Categorical Data
Jaws: Repeated Measures Analysis of Variance
Kidney: Weibull Regression with Random Effects
LSAT: Item Response
Leuk: Cox Regression
Line: Approximate Bayesian Computation
Line: Block-Specific Sampling with AMWG and Slice
Linear Regression
Magnesium: Meta-Analysis Prior Sensitivity
Mice: Weibull Regression
Oxford: Smooth Fit to Log-Odds Ratios
Pollution: Bayesian Variable Selection
Pumps: Gamma-Poisson Hierarchical Model
Rats: A Normal Hierarchical Model
Salm: Extra-Poisson Variation in a Dose-Response Study
Seeds: Random Effect Logistic Regression
Stacks: Robust Regression
Surgical: Institutional Ranking

F

first() (built-in function)

G

gelmandiag() (built-in function)
getindex() (built-in function), [1]
gettune() (built-in function)
gewekediag() (built-in function)
gradlogpdf!() (built-in function)
gradlogpdf() (built-in function)
graph() (built-in function)
graph2dot() (built-in function)

H

hcat() (built-in function)
heideldiag() (built-in function)
HMC() (built-in function)
HMCVariate() (built-in function)
hpd() (built-in function)

I

insupport{T<:Real}() (built-in function)

K

keys() (built-in function)

L

last() (built-in function)
length() (built-in function)
Logical Types
AbstractLogical
ArrayLogical
ScalarLogical
Logical() (built-in function)
logpdf!() (built-in function)
logpdf() (built-in function), [1], [2], [3], [4]

M

MALA() (built-in function)
MALAVariate() (built-in function)
maximum() (built-in function)
mcmc() (built-in function)
mcse() (built-in function)
minimum() (built-in function)
MISS() (built-in function)
Model
Model() (built-in function)
ModelChains
ModelChains() (built-in function)

N

Nodes
Input
Logical
Stochastic
NUTS() (built-in function)
NUTSVariate() (built-in function)

P

Parallel Computing
plot() (built-in function)
Posterior Predictive Distribution
Posterior Summaries
Autocorrelations
Cross-Correlations
Highest Posterior Density (HPD) Intervals
Plotting
Summary Statistics
predict() (built-in function)

Q

quantile() (built-in function)

R

rafterydiag() (built-in function)
rand() (built-in function)
read() (built-in function)
readcoda() (built-in function)
relist!() (built-in function)
relist() (built-in function), [1], [2]
RWM() (built-in function)
RWMVariate() (built-in function)

S

sample!() (built-in function), [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12]
Sampler Types
ABCTune
AMMTune
AMMVariate
AMWGTune
AMWGVariate
BHMCTune
BHMCVariate
BMC3Tune
BMC3Variate
BMGVariate
DGSVariate
DSForm
DSTune
DiscreteVariate
HMCTune
HMCVariate
MALATune
MALAVariate
MISSTune
NUTSTune
NUTSVariate
RWMTune
RWMVariate
Sampler
SamplerTune
SamplerVariate
SliceForm
SliceMultivariate
SliceSimplexTune
SliceSimplexVariate
SliceTune
SliceUnivariate
Sampler() (built-in function)
SamplerVariate() (built-in function)
SamplerVariate{T<:SamplerTune}() (built-in function)
Sampling Functions
Adaptive Metropolis within Gibbs
Adaptive Mixture Metropolis
Approximate Bayesian Computation
Binary Hamiltonian Monte Carlo
Binary MCMC Model Composition
Binary Metropolised Gibbs
Discrete Gibbs Sampler
Hamiltonian Monte Carlo
Metropolis-Adjusted Langevin Algorithm
Missing Values Sampler
No-U-Turn Sampler
Random Walk Metropolis
Shrinkage Slice
Slice Simplex
setindex!() (built-in function)
setinits!() (built-in function), [1], [2]
setinputs!() (built-in function)
setmonitor!() (built-in function)
setsamplers!() (built-in function)
show() (built-in function), [1], [2]
showall() (built-in function), [1], [2]
Slice() (built-in function)
SliceMultivariate() (built-in function)
SliceSimplex() (built-in function)
SliceSimplexVariate() (built-in function)
SliceUnivariate() (built-in function)
step() (built-in function)
Stochastic() (built-in function)
StochasticTypes
AbstractStochastic
ArrayStochastic
ScalarStochastic
summarystats() (built-in function)

U

unlist() (built-in function), [1], [2]
update!() (built-in function), [1], [2]

V

Variate Types
AbstractVariate
ArrayVariate
MatrixVariate
ScalarVariate
VectorVariate
vcat() (built-in function)

W

write() (built-in function)