Title: MIXED EFFECTS MODELS FOR MULTICATEGORY DATA
Author@R: c(person("Georgios", "Papageorgiou", email =
"gpapageo@gmail.com"), person("John", "Hinde", email =
Author: Georgios Papageorgiou and John Hinde
Description: Mixed effects models for the analysis of binary or
multinomial (ordinal or nominal) data with non-parametric

Title: Mixed effects cumulative link and logistic regression models
Description: Mixed effects cumulative and baseline logit link models for the analysis of ordinal or nominal responses, with non-parametric distribution for the random effects

Description: Mixed effects cumulative and baseline logit link models
for the analysis of ordinal or nominal responses, with
non-parametric distribution for the random effects

Authors@R: c(person("Georgios", "Papageorgiou", role = c("aut", "cre"),
email = "gpapageo@gmail.com"), person("John", "Hinde", role =

Title: Mixed Effects Cumulative Link and Logistic Regression Models
Author: Georgios Papageorgiou [aut, cre],
Description: Mixed effects cumulative and baseline logit link models for the analysis of ordinal or nominal responses, with non-parametric distribution for the random effects.

Title: Mixture Model for the Deconvolution of Thermal Decay Curves
Authors@R: c(person("Saras", "Windecker", role = c("aut", "cre"),
Description: Deconvolution of thermal decay curves allows you to quantify proportions
of biomass components in plant litter. Thermal decay curves derived from
thermogravimetric analysis (TGA) are imported, modified, and then modelled in a
three- or four- part  mixture model using the Fraser-Suzuki function. The output
is estimates for weights of pseudo-components corresponding to hemicellulose,
cellulose, and lignin. For more information see: Müller-Hagedorn, M. and Bockhorn,
Chen, H. and Zheng, C. and Lee, D. H. and Liang, D. T. (2006) <doi:10.1021/ef0580117>.
Imports: graphics, minpack.lm, nloptr, stats, zoo, tmvtnorm
Suggests: knitr, rmarkdown, devtools, testthat, covr
Packaged: 2018-08-15 15:32:45 UTC; windeckers

Description: Implementation of parametric and semiparametric mixture cure models based on existing R packages. See details of the models in Peng and Yu (2020) <ISBN: 9780367145576>.
Imports: boot, flexsurv, survey, gam, timereg