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0 votes
0 answers
32 views

Results dirichlet regression - brms vs DirichelReg comparison

I am new to Dirichlet regression, but I am trying to understand why model outputs are potentially different when I use two different R packages, and how I could interpret the slope and intercept ...
Vale's user avatar
  • 1
0 votes
0 answers
187 views

Using the methods of moments in R for the dirichlet distribution

I'm trying to build a distribution of transition probabilities to randomly sample from in a Markov model where individuals can transition from one health state to another (assume that in the image ...
James Moore's user avatar
2 votes
2 answers
863 views

Is it possible to fit a Dirichlet Regression to changing response variables?

A toy problem to illustrate my issue: We put a 100 people in a room with 10 candy bars. Each bar is different and has a different brand, flavor, size, color, etc. We ask each person in the group to ...
George's user avatar
  • 155
3 votes
1 answer
1k views

Convergence issue dirichlet model JAGS, implemented in R

I have data on the relative abundances of 3 species, stored in the matrix r.spp.y. Species 1 has a negative relationship with the variable ...
colin's user avatar
  • 1,242
1 vote
0 answers
57 views

Measuring covariance among multiple y-variables using a dirlichet model, implemented in JAGS in R

I have data on 3 species abundances as fractional compositions. Within each sample, the sum of all species abundances is 1. Essentially, each observation is a proportional abundance. Here is an ...
colin's user avatar
  • 1,242
4 votes
1 answer
2k views

Interpretation of the Precision Model in Dirichlet regression

I use dirichlet regression to analyze the result of a membership matrix (compositional data). For each observation, I have membership probabilities to different groups and these probabilities sum to ...
Matthias Studer's user avatar
1 vote
1 answer
135 views

multivariate dirichlet for multiple imputation

I dealing with 3 covariates {x1, x2, x3} all three are discrete and contain missing data. ...
Tyrone Williams's user avatar
1 vote
2 answers
495 views

Unkown 6-sided dice. After 600 rolls frequency for all sides exactly equal. What is the chance, that rolling "6" with this dice has frequency > 1/6?

Although it is unknown dice, the symmetry of the evidence tells us, that we can treat the dice as fair, so the chance should be exactly 50%. But if we simulate it by hand, the result is less then 50%:...
Adam Ryczkowski's user avatar
6 votes
3 answers
7k views

simulate dirichlet process in R

I am reading the paper of "Dirichlet Process Mixtures of Generalized Linear Models" authored by L. A. Hannah. If I would like to simulate the following model $$\mathcal{P}\sim \text{DP}(c\mathbb{G}_0)...
user785099's user avatar
  • 1,307
1 vote
1 answer
406 views

How to draw samples from a Bayesian nonparamatric density estimation? [DPpackage]

I am trying to compute a Kernel Density from high dimensional data ($n > 2$). The underlying (generative) model is assumed unknown. The goal is to draw samples from this estimate, in a sense ...
JoelKuiper's user avatar
0 votes
0 answers
538 views

can Dirichlet prior distribution be larger than 1?

This question is related to my quest of clustering the sequences using mixture Markov modeling. I have trouble understanding Dirichlet priors in the context of MAP-estimate (Mixture Markov Models). ...
zima's user avatar
  • 779
10 votes
2 answers
2k views

Implementation of Dirichlet cdf?

I need to compute the Dirichlet CDF, but I can only find implementations of the PDF. Do you guys know of any library (preferably in R) implementing it?
Ricky Robinson's user avatar
1 vote
0 answers
83 views

Dirichlet density with just one x value and one alpha parameter

Does it make any sense to apply the Dirichlet density function to only one x value and therefore one alpha parameter? (this would be the result of some bin merging) I'm asking because it appears ...
Ricky Robinson's user avatar
1 vote
0 answers
27 views

dirichlet density function returning values > 1.0 [duplicate]

Possible Duplicate: Probability distribution value exceeding 1 is OK? I'm comparing results given by this implementation and that from the gtool library in R, of the Dirichlet density function. ...
Ricky Robinson's user avatar
1 vote
1 answer
579 views

Input parameters in Dirichlet density function

I'm trying to feed the Dirichlet density function with some sample data and estimated alpha vector using R in Python (library rpy2), but I don't understand the error that I got: ...
Ricky Robinson's user avatar

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