Introducing PowerLMM.js!
A new tool for power analysis of longitudinal linear mixed-effects models (LMMs) β with support for missing data, plus non-inferiority and equivalence tests.
https://powerlmmjs.rpsychologist.com
Would really appreciate your feedback as I refine this app! Details below π§΅π
A new tool for power analysis of longitudinal linear mixed-effects models (LMMs) β with support for missing data, plus non-inferiority and equivalence tests.
https://powerlmmjs.rpsychologist.com
Would really appreciate your feedback as I refine this app! Details below π§΅π
Comments
One request: can you make the Cohen's D go to two decimal places (i.e., d=0.15)?
We have developed a shiny app with a similar purpose for log lineair growth models- we should maybe chat at some point? https://utrecht-university.shinyapps.io/Power_growth_models/
β’ Conduct power analyses for LMMs comparing rate of change across groups.
β’ Account for random slopes and missing data.
β’ Supports non-inferiority and equivalence tests.
β’ Provides tools to visualize core features of the model
Check out PowerLMM.js here: https://powerlmmjs.rpsychologist.com
(No honestly this is really amazing. What is "Last time point"? Maybe the input fields can have little question marks that show info on hover.)
(On a serious note, Iβm planning to offload these matrix computations from the main thread in the next release.)
seq(0, last_time_point, length.out = n1)
I think "duration" could be a better term? Will add question marks!