MultiBUGS
Home
About
Download
Documentation
Examples
(current)
Contents
Examples
Volume I
Contents
Rats
Pumps
Dogs
Seeds
Surgical
Magnesium
Salm
Equiv
Dyes
Stacks
Epil
Blockers
Oxford
LSAT
Bones
Inhalers
Mice
Kidney
Leuk
LeukFr
Volume II
Contents
Dugongs
Orange trees
MV Orange trees
Biopsies
Eyes
Hearts
Air
Cervix
Jaw
Birats
Schools
Ice
Beetles
Alligators
Endo
Stagnant
Asia
Pigs
Simulating data
Volume III
Contents
Camel
Eye Tracking
Fire insurance claims
Fun Shapes
Hepatitis
Hips1
Hips2
Hips3
Hips4
Jama
Pig Weights
Pines
St Veit
Volume IV
Contents
Seeds
Coins
Smart phones
Abbey
Beetles
Preeclampsia
Lotka-Volterra
Five compartment
Change points
Pollution
Methadone
Functionals
Ecology
Contents
Gentians
Sparrowhawks
Birds
Lizards
Voles
Impala
GeoBUGS
Contents
Conditional Autoregressive (CAR) models for disease mapping
Convolution priors
Proper CAR model
Bayesian kriging and spatial prediction
Poisson-gamma spatial moving average (convolution) model
Poisson-gamma spatial moving average (convolution) model
Shared component for mapping multiple diseases
Random walk priors for temporal smoothing of daily air pollution estimates
ReliaBUGS
Contents
Birnbuam-Saunders model
BurrX model
BurrXII model
Two Parameter Exponentiated Weibull Example model
Exponential Power model
Marshal-Olkin Extended Exponential (MOEE) model
Marshal-Olkin Extended Weibull model
Flexible Weibull model
Censored Generalized Exponential model
Gompertz model
Two Parameter (GP) Exponentiated Weibull Example model
Gumbel model
Inverse Weibull model
Inverse Gaussian model
Linear Failure Rate (LFR) model
Logistic-Exponential model
Log-Logistic model
Log-Weibull model
Modified Weibull model
Weibull-shifted model
Examples Volume 1
Rats: Normal hierarchical model
Pumps: conjugate gamma-Poisson hierarchical model
Dogs: log linear binary model
Seeds: random effects logistic regression
Surgical: institutional ranking
Magnesium meta-analysis prior sensitivity
Salm: extra-Poisson variation in dose-response study
Equiv: bioequivalence in a cross-over trial
Dyes: variance components model
Stacks: robust and ridge regression
Epil: repeated measures on Poisson counts
Blockers: random effects meta-analysis of
clinical trials
Oxford: smooth fit to log-odds ratios in
case control studies
LSAT: latent variable models for item-response data
Bones: latent trait model for multiple
ordered categorical responses
Inhalers: random effects model for ordinal responses
from a cross-over trial
Mice: Weibull regression in censored
survival analysis
Kidney: Weibull regression with random effects
Leuk: survival analysis using Cox regression
LeukFr: Cox regression with frailties
On this page