Authors@R: c(person("Alexios", "Galanos", email =

Title: Parallel Mutual Information estimation for Gene Network
Author: Gabriele Sales <gabriele.sales@unipd.it>, Chiara Romualdi
Description: The package provides a parallel estimation of the mutual
information based on entropy estimates from k-nearest neighbors
distances and algorithms for the reconstruction of gene

Title: Parallel Mutual Information Estimation for Gene Network
Description: Parallel estimation of the mutual information based on entropy
estimates from k-nearest neighbors distances and algorithms for the
reconstruction of gene regulatory networks
(Sales et al, 2011 <doi:10.1093/bioinformatics/btr274>).

Authors@R: c(person("Ashley", "Jacobson", email = "ashleypjacobson@gmail.com", role = c("aut", "cre")),
person("Victor", "Wilson", email = "victorjw26@yahoo.com", role = c("aut")),
person("Shannon", "Pileggi", email = "skmcclintock@gmail.com", role = c("aut")))
Description: Executes parametric survival analysis techniques similar to those in 'Minitab'. Fits right censored data to a
given parametric distribution, produces summary statistics of the fitted distribution, and plots parametric survival,
hazard, and cumulative hazard plots. Produces Anderson-Darling test statistic and probability plots to assess goodness
of fit of right censored data to a distribution.
Imports: fitdistrplus, flexsurv, ggplot2, stats, graphics
Suggests: survival, utils, knitr, rmarkdown

Title: Parametric Models for Survival Data
person("Ashley", "Jacobson", email = "ashleypjacobson@gmail.com", role = c("aut", "cre")),
person("Shannon", "Pileggi", email = "skmcclintock@gmail.com", role = c("aut"))
Description: Executes simple parametric models for right-censored
survival data.  Functionality emulates capabilities in 'Minitab', including
fitting right-censored data, assessing fit, plotting survival functions,
and summary statistics and probabilities.

Title: Parameter Optimizing of ODE-Systems
Institute of Biomaterials and Biomolecular Systems at the University of Stuttgart [his]
Description: Enable optimization of parameters of ordinary differential equations. Therefore, using 'SUNDIALS' to solve the ODE-System (see Hindmarsh, Alan C., Peter N. Brown, Keith E. Grant, Steven L. Lee, Radu Serban, Dan E. Shumaker, and Carol S. Woodward. (2005) <doi:10.1145/1089014.1089020>). Furthermore, for optimization the particle swarm algorithm is used (see: Akman, Devin, Olcay Akman, and Elsa Schaefer. (2018) <doi:10.1155/2018/9160793> and Sengupta, Saptarshi, Sanchita Basak, and Richard Peters. (2018) <doi:10.3390/make1010010>). The ODE-System has to be passed as 'Rcpp'-function. The information for the parameter boundaries and states are conveyed using text-files.