Questions tagged [rjags]
149 questions
9
votes
1 answer
Weird output of poisson GLM with an iid random effect in r
I am trying run rjags in R (via Rstudio) to estimate parameters alpha&beta and hyperparameter tau.nu of the model following:
y_i|x_i~pois(eta_i),
eta_i=exp(alpha + beta*x_i + nu_i),
nu_i~N(0,tau.nu)
there is my code:
#generating data
N = 1000
x =…

Yuki
- 125
- 5
7
votes
1 answer
How to install Rjags on Ubuntu
I am trying to install Rjags on Ubuntu, I have first installed this
sudo apt-get install JAGS
Then I have tried
R
install.packages("rjags")
I have the following error
> install.packages("rjags")
Installing package into…

glouis
- 541
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6
votes
1 answer
Three-level nested mixed-effects model
I am trying to model a three-level nested linear mixed effects model in rjags
(by three-level: multiple observations for multiple individuals within multiple groups).
There are unique sets of individuals in the groups.
The equivalent model in lme4…

user2957945
- 2,353
- 2
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5
votes
1 answer
Bayesian Multinomial Regression using rjags package
I am trying to fit a multinomial logistic regression model using rjags for the outcome is a categorical (nominal) variable (Outcome) with 3 levels, and the explanatory variables are Age (continuous) and Group (categorical with 3 levels). In doing…

Minh Chau
- 83
- 4
5
votes
2 answers
Apply a Bayesian model (JAGS) for various iterations
Consider the following data frame:
set.seed(5678)
sub_df<- data.frame(clustersize= rep(1, 4),
lepsp= c("A", "B", "C", "D"),
dens= round(runif(4, c(0, 1)), 3),
db= sample(1:10, 4, replace=TRUE))
Let's say I…

Danielle
- 785
- 7
- 15
5
votes
1 answer
Differences between rjags and r2jags
I use both packages in order to do Bayesian analysis but there are some differences that I don't understand:
First of all the package rjags allows the adaptation phase, with the jags.model function, while the package r2jags does not have this phase,…

zick094
- 63
- 1
- 5
4
votes
1 answer
Error: package or namespace load failed for 'rjags'
In one of my conda environments in terminal, I am able to successfully install the package 'rjags'. However, when I run R within that environment and run library(rjags), I get the following error:
Loading required package: coda Error: package or…

merryberry
- 91
- 1
- 9
3
votes
1 answer
Error: package or namespace load failed for ‘rjags’
I have a M1 Macbook Pro running OS Big Sur and just tried to install rjags and JAGS. I downloaded JAGS from https://sourceforge.net/projects/mcmc-jags/ without a problem, and ran install_packages("rjags"), but when I run library(rjags) I get this…

AFH
- 665
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- 28
3
votes
1 answer
rjags installation error, can't find JAGS path on Windows
I'm having an issue getting rjags to load & run. I can install rjags, but it doesn't run because it can't find JAGS. My versions are listed below and are all updated to the latest versions. I'm also using a Thinkpad.
JAGS Version: 4.3.0
RStudio…

Matt Tietbohl
- 51
- 6
3
votes
2 answers
Why is the model output from a fit with rjags and R2Jags different?
I'm working on fitting a multi-level logistic regression model with group level predictors. I am using JAGS via R. I am getting different behaviors when I fit the model with the runjags versus the R2Jags packages.
I've tried to write a reproducible…

gregor-fausto
- 435
- 2
- 9
3
votes
1 answer
How to overwrite value of observed node?
New to JAGS and working with a model referred in this paper. Looks like the authors used a previous version of JAGS that was closer to BUGS since at some point, this appears in the model block (lines 28-29):
z[i,1:(K-1)] ~ dmnorm(etas[i,], omega)
…

Paco Cruz
- 73
- 1
- 8
3
votes
1 answer
Mixture prior not working in JAGS, only when likelihood term included
The code at the bottom will replicate the problem, just copy and paste it into R.
What I want is for the mean and precision to be (-100, 100) 30% of the time, and (200, 1000) for 70% of the time. Think of it as lined up in a, b, and p.
So 'pick'…

RP18912
- 33
- 2
3
votes
1 answer
Multiplying a vector of parameters by a matrix of independent variables in JAGS
I am fitting a multivariate model in JAGS using the dirlichet distribution. I have a matrix y of 3 species proportional abundances.
#generate 3 columns of species proprotional abundance data
y <- matrix(ncol = 3, nrow = 100)
y[,] <-…

colin
- 2,606
- 4
- 27
- 57
3
votes
1 answer
Fitting a multivariate dirlichet model in JAGS for R
I am trying to fit a a multivariate model to species composition data using JAGS, implemented in R. I have data on 3 species relative abundances (bounded between [0,1]), two of which are correlated. Here is code to generate similar data.
#generate…

colin
- 2,606
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- 27
- 57
3
votes
1 answer
Error: "Slicer stuck at value with infinite density" running binomial-beta model in JAGS
I'm trying to run a binomial-beta model in JAGS (see example code below). I keep getting the error:
Error: The following error was encountered while attempting to run the JAGS model:
Error in node a0
Slicer stuck at value with infinite…

C Yeates
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