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aldvmm
View on CRAN: Click
here
Download and install aldvmm package within the R console
Install from CRAN:
install.packages("aldvmm")
Install from Github:
library("remotes")
install_github("cran/aldvmm") Install by package version:
library("remotes")
install_version("aldvmm", "0.9.0") Attach the package and use:
library("aldvmm")
Maintained by
Mark Pletscher
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-06-16
Latest Update: 2023-10-28
Description:
The goal of the package 'aldvmm' is to fit adjusted limited
dependent variable mixture models of health state utilities. 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.
How to cite:
Mark Pletscher (2021). aldvmm: Adjusted Limited Dependent Variable Mixture Models. R package version 0.9.0, https://cran.r-project.org/web/packages/aldvmm. Accessed 04 Jun. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for aldvmm
Functions, R codes and Examples using
the aldvmm R package
Some associated functions: aldvmm-package . aldvmm.check . aldvmm.cv . aldvmm.getnames . aldvmm.getpar . aldvmm.gof . aldvmm.gr . aldvmm.init . aldvmm.ll . aldvmm.mm . aldvmm . aldvmm.pred . aldvmm.sc . aldvmm.sefit . aldvmm.sum . aldvmm.tm . coef . estfun . formula . model.matrix . nobs . predict . print . print.summary . residuals . summary . terms . update . utility . vcov .
Some associated R codes: aldvmm.R . aldvmm.check.R . aldvmm.cv.R . aldvmm.getnames.R . aldvmm.getpar.R . aldvmm.gof.R . aldvmm.gr.R . aldvmm.init.R . aldvmm.ll.R . aldvmm.mm.R . aldvmm.pred.R . aldvmm.sc.R . aldvmm.sefit.R . aldvmm.sum.R . aldvmm.tm.R . aldvmmMethods.R . data.R . new_aldvmm.R . predict.aldvmm.R . summary.aldvmm.R . validate_aldvmm.R . Full aldvmm package functions and examples
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