email = "derek.young@uky.edu", comment = c(ORCID = "0000-0002-3048-3803")),
Imports: kernlab, MASS, segmented, stats, survival
Description: Analyzes finite mixture models for various parametric and semiparametric settings.  This includes mixtures of parametric distributions (normal, multivariate normal, multinomial, gamma), various Reliability Mixture Models (RMMs), mixtures-of-regressions settings (linear regression, logistic regression, Poisson regression, linear regression with changepoints, predictor-dependent mixing proportions, random effects regressions, hierarchical mixtures-of-experts), and tools for selecting the number of components (bootstrapping the likelihood ratio test statistic, mixturegrams, and model selection criteria).  Bayesian estimation of mixtures-of-linear-regressions models is available as well as a novel data depth method for obtaining credible bands.  This package is based upon work supported by the National Science Foundation under Grant No. SES-0518772.
Packaged: 2020-02-06 13:42:31 UTC; derekyoung
Author: Derek Young [aut, cre] (<https://orcid.org/0000-0002-3048-3803>),

Title: Predictive Toxicity Assessment of Chemical Mixtures
Description: Toxicity prediction of chemical mixtures using reference models such as
'concentration addition' and 'independent action' (Backhaus, T., Faust, M., Environmental

Title: Curve Fitting and Mixture Toxicity Assessment
Description: Curve Fitting for monotonic(sigmoidal) & non-monotonic(J-shaped)
concentration-response data. Toxicity prediction of chemical mixtures using reference
models such as 'concentration addition' and 'independent action' (Backhaus, T., Faust,
M., Environmental Science and Technology. 2012, 46, 2564-2573. doi:10.1021/es2034125).

concentration-response data. Prediction of mixture toxicity based on reference
models such as 'concentration addition', 'independent action', and 'generalized

Title: Dose Response Curve Fitting and Mixture Toxicity Assessment
Description: Curve Fitting of monotonic(sigmoidal) & non-monotonic(J-shaped)
dose-response data. Predicting mixture toxicity based on reference