Index

Symbols | _ | A | C | D | E | G | H | I | K | L | M | N | P | Q | R | S | T | U | V

Symbols

@modelexpr() (built-in function)

_

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

A

amm!() (built-in function)
AMM() (built-in function)
AMMTune
AMMVariate
AMMVariate() (built-in function)
amwg!() (built-in function)
AMWG() (built-in function)
AMWGTune
AMWGVariate
AMWGVariate() (built-in function)
autocor() (built-in function)

C

Chains
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
describe() (built-in function)
Deviance Information Criterion (DIC)
DGS() (built-in function)
dic() (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
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
Inhalers: Ordered Categorical Data
Jaws: Repeated Measures Analysis of Variance
Kidney: Weibull Regression with Random Effects
LSAT: Item Response
Leuk: Cox Regression
Linear Regression
Magnesium: Meta-Analysis Prior Sensitivity
Mice: Weibull Regression
Oxford: Smooth Fit to Log-Odds Ratios
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

G

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

H

heideldiag() (built-in function)
hpd() (built-in function)

I

insupport() (built-in function)
insupport{T<:Real}() (built-in function)
invlink() (built-in function), [1]

K

keys() (built-in function)

L

length() (built-in function)
link() (built-in function), [1]
Logical
Logical() (built-in function)
logpdf!() (built-in function)
logpdf() (built-in function), [1], [2], [3]

M

MatrixVariate
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)
MultiVariate

N

Nodes
Input
Logical
Stochastic
nuts!() (built-in function)
NUTS() (built-in function)
nutsepsilon() (built-in function)
NUTSTune
NUTSVariate
NUTSVariate() (built-in function)

P

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)
relist!() (built-in function)
relist() (built-in function)

S

Sampler
Sampler() (built-in function)
Sampling Functions
Adaptive Metropolis within Gibbs
Adaptive Mixture Metropolis
Direct Grid Sampler
Missing Values Sampler
No-U-Turn Sampler
Shrinkage Slice
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]
simulate!() (built-in function)
slice!() (built-in function)
Slice() (built-in function)
SliceTune
SliceVariate
SliceVariate() (built-in function)
Stochastic
Stochastic() (built-in function)
summarystats() (built-in function)

T

tune() (built-in function)

U

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

V

Variate
Variate Types
VariateType
VectorVariate