Adjusted Limited Dependent Variable Mixture Models
aldvmm: Adjusted Limited Dependent Variable Mixture Models
Checking the Validity of Objects Supplied to
Numerical Approximation of Covariance Matrix
Creating Names of Parameter Vectors
Extracting Parameters from Parameter Vector into Nested List.
Calculating Goodness of Fit Measures
Calculating Numeric Gradients of the Negative Log-Likelihood
Creating Initial Values
Calculating the Negative Log-Likelihood of the Adjusted Limited Depend...
Creating Design Matrices
Predicting Expected Values from Adjusted Limited Dependent Variable Mi...
Fitting Adjusted Limited Dependent Variable Mixture Models
Calculating analytical Gradients of the Negative Log-Likelihood for ea...
Calculating Standard Errors of Fitted and Predicted Outcomes
Creating Summary Table
Creating Terms Objects
Extract Coefficients of Adjusted Limited Dependent Variable Mixture Mo...
Create Matrix of Adjusted Limited Dependent Variable Mixture Model Gra...
Extract Adjusted Limited Dependent Variable Mixture Model Formula
Extract Adjusted Limited Dependent Variable Mixture Model Model Matric...
Extract Adjusted Limited Dependent Variable Mixture Model Number of Ob...
Predict Method for Adjusted Limited Dependent Variable Mixture Model F...
Print Adjusted Limited Dependent Variable Mixture Model Fits
Printing Adjusted Limited Dependent Variable Mixture Model Summaries
Extract Adjusted Limited Dependent Variable Mixture Model Residuals
Summarizing Adjusted Limited Dependent Variable Mixture Model Fits
Extract Adjusted Limited Dependent Variable Mixture Model Terms
Update Adjusted Limited Dependent Variable Mixture Model Fit
Extract Adjusted Limited Dependent Variable Mixture Model Covariance M...
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) <doi:10.1177/1536867X1501500307> using normal component distributions and a multinomial logit model of probabilities of component membership.