Imports: dplyr, maxLik, gtools, stats, MASS, scales

Imports: dplyr, maxLik, gtools, MASS, stats, scales, Rdpack

Description: Generates efficient designs for discrete choice experiments based on the multinomial logit model, and individually adapted designs for the mixed multinomial logit model. The generated designs can be presented on screen and choice data can be gathered using a shiny application. Crabbe M, Akinc D and Vandebroek M (2014) <doi:10.1016/j.trb.2013.11.008>.
Imports: dplyr, gtools, MASS, maxLik, Rdpack, stats, scales, utils

Imports: dplyr, gtools, MASS, maxLik, mlogit, parallel, Rcpp (>=
0.12.18), Rdpack, stats, scales, tmvtnorm, utils

person("Frits", "Traets", email = "frits.traets@kuleuven.be", role = c("aut", "cre")),
person("Daniel", "Gil", email = "danielgils@gmail.com", role = "ctb"))
Imports: dplyr, MASS, mlogit, parallel, Rcpp (>= 0.12.18), Rdpack,

Description: Generates efficient designs for discrete choice experiments based on the multinomial logit model, and individually adapted designs for the mixed multinomial logit model. The generated designs can be presented on screen and choice data can be gathered using a shiny application. Traets F, Sanchez G, and Vandebroek M (2020) <doi:10.18637/jss.v096.i03>.

Imports: dplyr, MASS, parallel, Rcpp (>= 0.12.18), Rdpack, stats,

Title: Inference in Randomized Controlled Trials with Death and
Description: In randomized studies involving severely ill patients, functional
outcomes are often unobserved due to missed clinic visits, premature
withdrawal or death. It is well known that if these unobserved functional
outcomes are not handled properly, biased treatment comparisons can be
produced. In this package, we implement a procedure for comparing treatments
that is based on the composite endpoint of both the functional outcome and
survival. The procedure considers missing data imputation with a sensitivity
analysis strategy to handle the unobserved functional outcomes not due to
Imports: sqldf (>= 0.4), survival (>= 2.38), parallel (>= 3.2), coda
Suggests: knitr, shiny, rmarkdown, pander