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Welcome to this discussion group about r-inla. Please ask your questions here in case you think they will be useful for others, otherwise send them to
help@r-inla.org
. You are of'course free to comment on questions from others as well.
Best,
H
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Evan Baker
9:53 AM
ar1c with replicate /group / etc
Hi all, I believe a similar question has been asked before, but wasn't answered. Is it possible,
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ar1c with replicate /group / etc
Hi all, I believe a similar question has been asked before, but wasn't answered. Is it possible,
9:53 AM
Andrew
,
Finn Lindgren
4
Mar 23
GMRFLib_2order_approx: rescue NAN/INF values in logl for idx
Hi Finn, Thanks for the quick response. I have just tried running again but with the following
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GMRFLib_2order_approx: rescue NAN/INF values in logl for idx
Hi Finn, Thanks for the quick response. I have just tried running again but with the following
Mar 23
Mik
,
Helpdesk (Haavard Rue)
5
Mar 23
Spatial INLA model computing negative predictive values
Hi Håvard, I have tried using inv.logit() in place of exp() but i am still obtaining predicted values
unread,
Spatial INLA model computing negative predictive values
Hi Håvard, I have tried using inv.logit() in place of exp() but i am still obtaining predicted values
Mar 23
Bas Matsuura
,
Helpdesk (Haavard Rue)
2
Mar 23
How to specify control.family and control.link arguments for multiple distributions
with three likelihoods, then the control.family needs to be control.family=list( list(), list(), list
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How to specify control.family and control.link arguments for multiple distributions
with three likelihoods, then the control.family needs to be control.family=list( list(), list(), list
Mar 23
JJ Hubbard
Mar 22
Precision dominates individual linear.predictor standard deviation
Hello, I have noticed that my model$summary.linear.predictor$sd values are typically two orders of
unread,
Precision dominates individual linear.predictor standard deviation
Hello, I have noticed that my model$summary.linear.predictor$sd values are typically two orders of
Mar 22
TheCorinna1994
,
Finn Lindgren
9
Mar 22
non-stationary precipitation model
Ok Ok thanks. One last question: I have my mesh and now I just imported a file containing the
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non-stationary precipitation model
Ok Ok thanks. One last question: I have my mesh and now I just imported a file containing the
Mar 22
Subramanian Swaminathan
Mar 22
inla.group.cv - post-estimation
Hi prof Rue, This is in connection with ' inla.group.cv'. This has greatly simplified
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inla.group.cv - post-estimation
Hi prof Rue, This is in connection with ' inla.group.cv'. This has greatly simplified
Mar 22
Evan Baker
,
Finn Lindgren
6
Mar 22
Inlabru hierarchical model - incorrect random effect estimates
Hi, I've attached these things (summary, bruverbose = 3 output, and covnergence plots for both
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Inlabru hierarchical model - incorrect random effect estimates
Hi, I've attached these things (summary, bruverbose = 3 output, and covnergence plots for both
Mar 22
Sònia Gil
Mar 21
interpretation results and minimum of data
Hi all, I would like to understand what is the interpertration of my results. I apply a bym model for
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interpretation results and minimum of data
Hi all, I would like to understand what is the interpertration of my results. I apply a bym model for
Mar 21
rafa.arc...@gmail.com
,
Finn Lindgren
4
Mar 21
Predictive scoring of Point Processes
No, CPO isn't well defined for point process likelihoods. Some node on prediction scores (that
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Predictive scoring of Point Processes
No, CPO isn't well defined for point process likelihoods. Some node on prediction scores (that
Mar 21
Saran Ahluwalia
, …
Helpdesk (Haavard Rue)
5
Mar 21
Error when running in Google's Colaboratory
looks good to me On Mon, 2023-03-20 at 08:46 -0700, Saran Ahluwalia wrote: > Incorporating both of
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Error when running in Google's Colaboratory
looks good to me On Mon, 2023-03-20 at 08:46 -0700, Saran Ahluwalia wrote: > Incorporating both of
Mar 21
Lorenzo Valleggi
, …
Virgilio Gómez-Rubio
4
Mar 20
Variance modeling
Hi, \sigma^2_{i,j}(X) = abs(X)^{2\theta_j}} where i are the observations and j are groups where
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Variance modeling
Hi, \sigma^2_{i,j}(X) = abs(X)^{2\theta_j}} where i are the observations and j are groups where
Mar 20
Saran Ahluwalia
Mar 19
Running R-inla on Colaboratory Yields Error
Hi All: Here is an MVP of the issue I am running into. I am not sure what is the best way to
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Running R-inla on Colaboratory Yields Error
Hi All: Here is an MVP of the issue I am running into. I am not sure what is the best way to
Mar 19
JJ Hubbard
, …
Finn Lindgren
11
Mar 19
How can I calculate the standard deviation of the linear.predictor from the standard deviation of the model components?
sd=, not mean=. The mean should be 0. Finn On 19 Mar 2023, at 04:51, JJ Hubbard <jordanjhubbard@
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How can I calculate the standard deviation of the linear.predictor from the standard deviation of the model components?
sd=, not mean=. The mean should be 0. Finn On 19 Mar 2023, at 04:51, JJ Hubbard <jordanjhubbard@
Mar 19
Prince Michael Amegbor
,
Helpdesk (Haavard Rue)
4
Mar 17
FDR in INLA
this is old code that I do not know if it will work with inla.mode="experimental" which is
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FDR in INLA
this is old code that I do not know if it will work with inla.mode="experimental" which is
Mar 17
Natoya j
,
Helpdesk (Haavard Rue)
2
Mar 17
approximate variance of data-level prediction
the easy way would be to include year 2021 in the model, but with data equal to NA In this way you
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approximate variance of data-level prediction
the easy way would be to include year 2021 in the model, but with data equal to NA In this way you
Mar 17
Pooja B S
,
Helpdesk (Haavard Rue)
2
Mar 17
unable to fit the shared multiscale model for the count data using two datas sets(one is of district level and another state level)
This seems straight forward. and its look like its something minor only. btw, you use 'g1'
unread,
unable to fit the shared multiscale model for the count data using two datas sets(one is of district level and another state level)
This seems straight forward. and its look like its something minor only. btw, you use 'g1'
Mar 17
Daniel Johnson
, …
Johnson, Daniel P
9
Mar 15
Error Running Blangiardo Camelleti Piemonte SPDE S-T Example
Havard, Insang, and Elias- This last bit from Havard did the trick on the HPC system. I will load
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Error Running Blangiardo Camelleti Piemonte SPDE S-T Example
Havard, Insang, and Elias- This last bit from Havard did the trick on the HPC system. I will load
Mar 15
Sylvan Benaksas
,
INLA help
3
Mar 15
model doesn't run with larger mesh
Hi Haavard, Following another group post https://groups.google.com/g/r-inla-discussion-group/c/
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model doesn't run with larger mesh
Hi Haavard, Following another group post https://groups.google.com/g/r-inla-discussion-group/c/
Mar 15
aynaz lotfata
,
Elias T. Krainski
2
Mar 15
ntrial
Hi, The 'Ntrials' argument is for 'binomial' while the equivalent for 'nbinomial
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ntrial
Hi, The 'Ntrials' argument is for 'binomial' while the equivalent for 'nbinomial
Mar 15
Insang Song
,
Helpdesk (Haavard Rue)
4
Mar 13
Successful inla.cpo results still include failures
Dear Dr. Rue: Thank you for the prompt response. I will try inla.group.cv. Best, Insang Song On
unread,
Successful inla.cpo results still include failures
Dear Dr. Rue: Thank you for the prompt response. I will try inla.group.cv. Best, Insang Song On
Mar 13
JJ Hubbard
, …
Håvard Rue
3
Mar 13
Is it possible to continue training a fitted INLA model?
with more data, then likely the latent dimension change, hence you can only carry over the
unread,
Is it possible to continue training a fitted INLA model?
with more data, then likely the latent dimension change, hence you can only carry over the
Mar 13
Josh Cullen
,
Finn Lindgren
3
Mar 13
Hierarchical Gaussian Process Regression
Hi Finn, Thanks for the quick response! I'll take a look at trying to fit this model via inlabru.
unread,
Hierarchical Gaussian Process Regression
Hi Finn, Thanks for the quick response! I'll take a look at trying to fit this model via inlabru.
Mar 13
Vera Tibot
,
Finn Lindgren
2
Mar 13
Larger values of the posterior standard deviation at the mesh nodes?
Hi, this is due to the conditionally deterministic behaviour inside each triangle. For visualisation,
unread,
Larger values of the posterior standard deviation at the mesh nodes?
Hi, this is due to the conditionally deterministic behaviour inside each triangle. For visualisation,
Mar 13
Moisés Augusto
,
Helpdesk (Haavard Rue)
3
Mar 13
Another distribution
Hi, to be short, I want to incorporate the Bell distribution and use it to fit a spatio-temporal
unread,
Another distribution
Hi, to be short, I want to incorporate the Bell distribution and use it to fit a spatio-temporal
Mar 13
Geir Storvik
,
Håvard Rue
2
Mar 6
Marginal likelihoods for the generic0 model
On Mon, 2023-03-06 at 01:22 -0800, Geir Storvik wrote: > As stated in the documentation of the
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Marginal likelihoods for the generic0 model
On Mon, 2023-03-06 at 01:22 -0800, Geir Storvik wrote: > As stated in the documentation of the
Mar 6
Shilpa Jose
Mar 4
Compare classical and Bayesian linear regression
Hi, I have doubt that whether we can compare the Ordinary linear regression and Bayesian regression
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Compare classical and Bayesian linear regression
Hi, I have doubt that whether we can compare the Ordinary linear regression and Bayesian regression
Mar 4
Geir Storvik
, …
FredrikLAa
3
Mar 3
Reparametrization from x to eta
Hi, In the classical way of estimating models with INLA, in the Gaussian approx of pi(Latent field|
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Reparametrization from x to eta
Hi, In the classical way of estimating models with INLA, in the Gaussian approx of pi(Latent field|
Mar 3
Christos Kokaliaris
,
Finn Lindgren
6
Mar 2
spatially varying effect in a coregionalisation model (inlabru)
Yes, in inlabru, the "copy" feature is nearly only needed when estimating a single scaling
unread,
spatially varying effect in a coregionalisation model (inlabru)
Yes, in inlabru, the "copy" feature is nearly only needed when estimating a single scaling
Mar 2
richard baidoo
Feb 28
INLA Keeps crashing
Below is the code I run: ## Without interactions count_total_gv ~ gini + urban + minority +
unread,
INLA Keeps crashing
Below is the code I run: ## Without interactions count_total_gv ~ gini + urban + minority +
Feb 28