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22 thg 12, 2015 · How to deal with clmm warning: 'hessian is numerically singular'? Ask Question Asked 9 years, 8 months ago Modified 9 years, 8 months ago
22 thg 6, 2021 · Interpreting the results of a clmm model with one independent variable - Some questions Ask Question Asked 4 years, 2 months ago Modified 4 years, 2 months ago
17 thg 9, 2021 · I am estimating a Cumulative Link Mixed Model (CLMM) in R on a dataset similar to the following: Likert Age Income Location Uncomfortable 65 High East Comfortable 42 Low West …
29 thg 3, 2019 · I am running an ordinal model on rating data, with 1 random effect (subject) and 2 fixed effects (condition with 3 levels, probe.position with 6). I use the clmm function from the …
6 thg 5, 2017 · This is a beginner level question, and I apologise in advance if the answer is obvious. If a by-subject random slope for a predictor 'X' improves the model fit*, but the predictor 'X' is …
9 thg 8, 2022 · I have Likert scale responses (DV) from a survey rating 10 voices on 10 personality traits. I need to run a regression model in R to look at the effect of accent and some other …
26 thg 3, 2024 · I am running the following CLMM model in R Studio (version 4.3.1): incr_clmm <- clmm (OLR_Response ~ Distance + Species + (1|Bird_ID), data=olr_increm) I am able to run it but …
18 thg 1, 2021 · So, say the random intercept of subject 1 is -0.74, what does this mean? Does it mean that the odds to get a lower level response is are higher than a higher level one? I have …
7 thg 6, 2016 · I am using the CLMM procedure in R:Ordinal package. Because there are three possible levels of tsf (short, medium, very long), the model tests both linear (L) and quadratic (Q) …
4 thg 9, 2023 · I am using ordinal R-package to fit a cumulative link mixed model to an ordered, categorical outcome (5 levels) using logit function as the link function. The model is a random …
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