(2013) <http://ftp.cs.ucla.edu/pub/stat_ser/r410.pdf>) and arbitrary combinations of these. Also supports
identification in the presence of context-specific independence (CSI) relations through labeled directed
acyclic graphs (LDAG). For details on CSIs see Corander et al. (2019) <doi:10.1016/j.apal.2019.04.004>.
For further information on the search-based approach see Tikka et al. (2019) <arXiv:1902.01073>.

Imports: Rcpp (>= 0.12.19), igraph, dagitty

Description: Identification of causal effects from arbitrary observational and experimental probability distributions via do-calculus and standard probability manipulations using a search-based algorithm by Tikka et al. (2021) <doi:10.18637/jss.v099.i05>. Allows for the presence of mechanisms related to selection bias (Bareinboim, E. and Tian, J. (2015) <http://ftp.cs.ucla.edu/pub/stat_ser/r445.pdf>), transportability (Bareinboim, E. and Pearl, J. (2014) <http://ftp.cs.ucla.edu/pub/stat_ser/r443.pdf>), missing data (Mohan, K. and Pearl, J. and Tian., J. (2013) <http://ftp.cs.ucla.edu/pub/stat_ser/r410.pdf>) and arbitrary combinations of these. Also supports identification in the presence of context-specific independence (CSI) relations through labeled directed acyclic graphs (LDAG). For details on CSIs see Corander et al. (2019) <doi:10.1016/j.apal.2019.04.004>.

Author: Santtu Tikka, Antti Hyttinen, Juha Karvanen
Description: Identification of causal effects from arbitrary observational and experimental probability distributions via do-calculus and standard probability manipulations using a search-based algorithm. Allows for the presence of mechanisms related to selection bias (Bareinboim, E. and Tian, J. (2015) <http://ftp.cs.ucla.edu/pub/stat_ser/r445.pdf>), transportability (Bareinboim, E. and Pearl, J. (2014) <http://ftp.cs.ucla.edu/pub/stat_ser/r443.pdf>) and missing data (Mohan, K. and Pearl, J. and Tian., J. (2013) <http://ftp.cs.ucla.edu/pub/stat_ser/r410.pdf>).

Title: Interactive Designing of Dose Finding Studies
Author: F. Mendolia, K. Walkamp, K. Roth, T. Schmelter, C. Neumann,  Z. Gao, A. Kaiser, S. Jeske, H. Kulmann
Description: Provides the user with an interactive application which can be used to facilitate the planning of dose finding studies by applying the theory of optimal experimental design (e.g., Ling (2006) <doi:10.1007/0-387-33706-7>).
Imports: shiny, shinyjs, ggplot2, DoseFinding, DT, lattice,