First Passage Time Simulation for Gaussian Diffusion Processes
In this package we consider Gaussian Diffusion processes and smooth thresholds. After evaluating the mean of the process to check the subthreshold regimen hypothesis, the FPT density function is reconstructed via the numerical quadrature of the integral equation in (Buonocore 1987); first passage times are also generated by the method in (Buonocore 2014) and results are compared. The timestep of the simulations can iteratively be refined. User should provide the functional form for the drift and the infinitesimal variance in the script 'userfunc.R' and for the threshold in the script 'userthresh.R'. All the parameters required by the implementation are to be set in the script 'userparam.R'. Example scripts for common drifts and thresholds are given.

Train and Apply a Gaussian Stochastic Process Model
c(
person(given = "William J.",
family = "Welch",
role = c("aut", "cre", "cph"),
email = "will@stat.ubc.ca",
comment = c(ORCID = "0000-0002-4575-3124")),
person(given = "Yilin",
family = "Yang",
role = c("aut"),
email = "yangyl17@students.cs.ubc.ca",
comment = c(ORCID = "0000-0003-0885-6017"))
)
Train a Gaussian stochastic process model of an unknown function, possibly observed with error, via maximum likelihood or MAP estimation, run model diagnostics, and make predictions, following Sacks, J., Welch, W.J., Mitchell, T.J., and Wynn, H.P. (1989) "Design and Analysis of Computer Experiments", Statistical Science, <doi:10.1214/ss/1177012413>.  Perform sensitivity analysis and visualize low-order effects, following Schonlau, M. and Welch, W.J. (2006), "Screening the Input Variables to a Computer Model Via Analysis of Variance and Visualization", <doi:10.1007/0-387-28014-6_14>.

lpSolveAPI, combinat, gtools, ineq, kappalab
Implementation of a common set of punctual solutions  for Cooperative Game Theory.

Tools for Calculating Allocations in Game Theory
Many situations can be modeled as game theoretic situations. Some procedures are included in this package to calculate the most important allocations rules in Game Theory: Shapley value, Owen value or nucleolus, among other. First, we must define as an argument the value of the unions of the envolved agents with the characteristic function.