The goal of ‘aldvmm’ is to fit adjusted limited dependent variable mixture models of health state utilities in R. Adjusted limited dependent variable mixture models are finite mixtures of normal distributions with an accumulation of density mass at the limits, and a gap between 100% quality of life and the next smaller utility value. The package ‘aldvmm’ uses the likelihood and expected value functions proposed by Hernandez Alava and Wailoo (2015) using normal component distributions and a multinomial logit model of probabilities of component membership.
Is it possible to estimate cluster-robust standard errors? In the stata package this is possible in the vce argument of the function.
I could, however, not find an equivalent option in the R package.
We preparing the next release of ggplot2 and our reverse dependency checks show that your package is failing with the new version. Looking into it we see that your package somehow includes references to ggplot2 code from when it was build, either by reloading saved plot objects or by grabbing functions at build time. Please see https://www.tidyverse.org/blog/2022/09/playing-on-the-same-team-as-your-dependecy/ for some more info about why this can cause issues.
You can install the release candidate of ggplot2 using devtools::install_github('tidyverse/[email protected]') to test this out.
We plan to submit ggplot2 by the end of October and hope you can have a fix ready before then