aldvmm
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.
Science Score: 13.0%
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Low similarity (9.2%) to scientific vocabulary
Keywords
Repository
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.
Basic Info
- Host: GitHub
- Owner: pletschm
- Language: HTML
- Default Branch: main
- Homepage: https://github.com/pletschm/aldvmm
- Size: 91.1 MB
Statistics
- Stars: 4
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 9
Topics
Metadata Files
README.md
aldvmm
The goal of '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.
Installation
You can install the released version of aldvmm from CRAN with:
r
install.packages("aldvmm")
Example
The package 'aldvmm' includes a simulated sample data set to run simple examples.
``` r library("aldvmm")
data(utility)
fit <- aldvmm(eq5d ~ age + female | 1, data = utility, psi = c(0.883, -0.594), ncmp = 2, init.method = "constant", optim.method = "BFGS")
summary(fit)
yhat <- predict(fit) ```
Vignette
Please consult the vignette for further details on the methods and the usage of the package.
References
Hernández Alava, Mónica, and Allan Wailoo. 2015. “Fitting Adjusted Limited Dependent Variable Mixture Models to EQ-5D.” The Stata Journal 15 (3): 737–50. doi: 10.1177/1536867X1501500307
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| Name | Commits | |
|---|---|---|
| Pletscher Mark | p****1@b****h | 103 |
| pletschm | m****r@g****h | 85 |
| Mark Pletscher | 5****m | 34 |
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Last synced: 8 months ago
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- Total issues: 2
- Total pull requests: 41
- Average time to close issues: 2 days
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- Total pull request authors: 1
- Average comments per issue: 7.5
- Average comments per pull request: 0.02
- Merged pull requests: 35
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- IsaMariaSteiner (1)
- thomasp85 (1)
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- pletschm (41)
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Packages
- Total packages: 1
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Total downloads:
- cran 352 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 6
- Total maintainers: 1
cran.r-project.org: aldvmm
Adjusted Limited Dependent Variable Mixture Models
- Homepage: https://github.com/pletschm/aldvmm/
- Documentation: http://cran.r-project.org/web/packages/aldvmm/aldvmm.pdf
- License: GPL-3
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Latest release: 0.8.8
published over 2 years ago
Rankings
Maintainers (1)
Dependencies
- R >= 3.5.0 depends
- checkmate * imports
- numDeriv * imports
- optimr * imports
- stats * imports
- bookdown * suggests
- covr * suggests
- ggplot2 * suggests
- knitr * suggests
- markdown * suggests
- reshape2 * suggests
- rmarkdown * suggests
- scales * suggests
- testthat >= 3.0.0 suggests
- tinytex * suggests
- xtable * suggests
- R >= 3.5.0 depends
- checkmate * imports
- numDeriv * imports
- optimr * imports
- stats * imports
- bookdown * suggests
- covr * suggests
- ggplot2 * suggests
- knitr * suggests
- markdown * suggests
- reshape2 * suggests
- rmarkdown * suggests
- scales * suggests
- testthat >= 3.0.0 suggests
- tinytex * suggests
- xtable * suggests
- R >= 3.5.0 depends
- checkmate * imports
- numDeriv * imports
- optimr * imports
- stats * imports
- bookdown * suggests
- covr * suggests
- ggplot2 * suggests
- knitr * suggests
- markdown * suggests
- reshape2 * suggests
- rmarkdown * suggests
- scales * suggests
- testthat >= 3.0.0 suggests
- tinytex * suggests
- xtable * suggests