All Questions
18 questions from the last 30 days
6
votes
1
answer
127
views
Is there a way to forecast by subgroup without forecasting each subgroup separately?
I am trying to find an appropriate model to forecast the number of applications received at the end of a recruitment cycle based on previous recruitment cycles and the number of applications received ...
4
votes
2
answers
41
views
Accounting for non-independence and autocorrelation in HGAM
I am currently trying to fit a HGAM to model differences in daily activity patterns of fish in two treatments. Data were collected with high-resolution telemetry, and I currently have estimates of ...
3
votes
2
answers
109
views
R: How to fit a linear mixed model with a custom covariance structure for two random intercepts
Suppose I have a dataset with repeated measurements on q clusters. I want to fit an LMM with two random intercepts, on the same cluster, with a non-diagonal covariance structure on the random effects (...
3
votes
1
answer
46
views
Calculate marginal effects for random effects model with two crossed random effects
I am trying to get effects marginal of two crossed random effects (using STAN or brms). I understand how to do it for a single random effect following McElreath's book and Kurtz's brms version of the ...
4
votes
0
answers
73
views
Major discordance between uncertainties estimated by `predictInterval()` and `bootMer()` for binomial GLMM with cloglog link
We have been using predictInterval() from the merTools package to bootstrap uncertainty for binomial GLMM models (complementary ...
1
vote
0
answers
51
views
Opposite results using Bayesian (STAN) vs Multilevel model (nlme). How is this possible?
My datasets contains the median wages and the cumulative installed wind-capacity for 4000 counties over a period of 20 years. The wages tend to rise over the period and the capacity tends to highly ...
0
votes
3
answers
43
views
Problem finding a distribution for my data (glmm)
I want to do a correlation analysis of two variables ranging from zero to one (including those values), and including other possible environmental explanatory variables.
I opted for a mixed model, ...
0
votes
0
answers
42
views
LMM: effect of day may differ between subjects - fixed or random effect?
We tested 12 animals in a test with three phases (a/b/c) in three conditions (C1/C2/C3) on nine days, i.e. every animal experienced each condition three times. On each day, four animals were tested in ...
1
vote
2
answers
31
views
Should I conduct a multilevel for this or another analysis? Need help
I have three sources of data (teachers, parents and students) assessing students, in three waves. I want to assess all and see the differences between moments but then I also want to use variables for ...
1
vote
1
answer
38
views
Correct binomial GLMM for temporal trends in species occurrences
I have a dataset with 80 species which were sampled in about 120 water bodies at two time periods (historical / recent). Only presence/absence of the species in each water body is considered. The data ...
0
votes
0
answers
18
views
How to Forecast Sales for Sub-Locations Without Historical Proportion Data?
I have a time series dataset of total sales for a product in a store over time. This product is available in two different locations within the store: one stand near the checkout and another stand in ...
0
votes
0
answers
32
views
GLMM with log-Gaussian, log-Gamma
I need someone smarter than I am to look at this problem, and I'd appreciate it if you'd take the time. So, I am trying to predict reaction times here in a glmm using a battery of IVs. You can see the ...
0
votes
0
answers
22
views
Derive gamma-parameters from preset R^2 in mixed models
For a simulation study in R, I want to select the effect sizes according to a preset $R^2$.
Consider this two level random intercept mixed model, with one L1 predictor $X_{ij}$ and one L2 predictor $...
1
vote
0
answers
11
views
How to model frequency data with mixed effects?
I have some frequency data that I am not sure how to model
I have two independent experiments (replicate: A, B), where I treat neurons (10 per treatment) with the same drug but for different time ...
1
vote
0
answers
9
views
Fauna activity responses to fire with camera traps - issues with lacking spatial independence and how to analyse
I am trying to work out the best approach for data analysis for my PhD and have gotten a bit stuck.
I am working in the field of ecology, trying to understand responses of fauna before and after a ...
-1
votes
0
answers
8
views
what happens when a network has low closeness centrality - what happens to nodes on the periphery [closed]
I have thirty-nine nodes with closeness centrality scores but I do not know what to say about the nodes on the periphery who do not have scores.
0
votes
0
answers
6
views
Does mediate() in r work with a multicategorical predictor?
My data is multilevel (multiple measures for each participant within each condition) with 3 conditions.
DV = continuous; Mediator = continuous; IV = categorical (with 3 conditions: control, condition ...
0
votes
0
answers
9
views
Extracting individual level posterior class memebership probabilities in multilevel LCA
I am conducting a multilevel laten class analysis using the R package multilevLCA.
I have fitted the model using multiple steps (i.e. determining optimal number of classes as well as clusters). I now ...