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Results tagged with r
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user 297627
Use this tag for any *on-topic* question that (a) involves `R` either as a critical part of the question or expected answer, & (b) is not *just* about how to use `R`.
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How can I include random effects (or repeated measures) into a randomForest
There is now an R package called SAEforest that provides the command MERFranger: https://cran.r-project.org/web/packages/SAEforest/index.html
The focus of the package is not precisely on the MERF. …
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Tobit panel data or panel data with truncated dependent variable
You can estimate Tobit regresssions with random intercepts with the censReg package and with the pldv command of the plm package.
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1
answer
101
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test proportional odds assumption of lagged variable in ordered logistic regression
I want to estimate transition probabilities between different disease states called "Remission", "Mild" and "moderate/severe".
I have an unbalanced panel of 250 patients with time differences between …
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0
votes
Accepted
test proportional odds assumption of lagged variable in ordered logistic regression
In the end I created two new variables for lag(Mod_Sev) and lag(Mild) so that I did not need to use the lag() operator in the regression formula.
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0
votes
Accepted
Test score Variable interpretation in Brandsma data (mice package)
In the end I assumed that the test results each have their own maximum number of points and that lpr, apr, lpo and apo give the number of points each student achieved. As far as I understand, we don't …
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2
answers
388
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How to do LASSO regression with a dependent variable that has two limits
I would like to estimate a LASSO regression for a dependent variable that has a lower limit at -0.661 and an upper limit at 1 in R. …
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2
votes
1
answer
2k
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Linear probability model: Why do lm() and glm() not give the same results in R?
I do realise that R does not specify binomial(link = "identity") as a family object for models. However, it does not give an error or warning message when I use it. … So I have two questions:
What does R do differently when it uses glm and not lm for estimating the linear probability model? …
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1
answer
40
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Test score Variable interpretation in Brandsma data (mice package)
I am currently working with the Brandsma data of the mice package in R for teaching purposes. … A. & Bosker, R. J. (2011). Multilevel analysis: An
introduction to basic and ad-vanced multilevel modeling. Sage.
Brandsma, H. P., & Knuver, J. W. M. (1989). …
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2
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1
answer
2k
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Making sense of importance measures offered in Ranger
I have trained a regression forest using the R package ranger. Now I would like to discuss the variable importance measures of the included features. …
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