full quantile functions (univariate) and nonparametric correlation
Stephanou, Michael and Varughese, Melvin. "On the properties of Hermite series based distribution function estimators." Metrika (2020) <doi:10.1007/s00184-020-00785-z> and Stephanou, Michael and Varughese, Melvin. "Sequential estimation of Spearman rank correlation using Hermite series estimators." Journal of Multivariate Analysis (2021) <doi:10.1016/j.jmva.2021.104783>.

Imports: Rcpp (>= 1.0.5), methods, RcppParallel (>= 5.1.1)

Description: Data and data-generating functions related to the paper Fast Bivariate Penalized Splines by Xiao et al. (2012) <doi:10.1111/rssb.12007>.    A hero is a specific type of sandwich.  Dictionary.com (2018) <https://www.dictionary.com> describes a hero as: a large sandwich, usually consisting of a small loaf of bread or long roll cut in half lengthwise and containing a variety of ingredients, as meat, cheese, lettuce, and tomatoes.

Title: Spatio-Temporal (Hero) Sandwich Smoother
Description: An implementation of the sandwich smoother proposed in Fast Bivariate Penalized Splines by Xiao et al. (2012) <doi:10.1111/rssb.12007>.    A hero is a specific type of sandwich.  Dictionary.com (2018) <https://www.dictionary.com> describes a hero as: a large sandwich, usually consisting of a small loaf of bread or long roll cut in half lengthwise and containing a variety of ingredients, as meat, cheese, lettuce, and tomatoes.
Imports: Matrix, splines, optimx, pbapply, rgeos, sp, fields
Suggests: autoimage, devtools, fda, igraph, testthat

Title: Health-Economic Simulation Modeling and Decision Analysis
person("Devin", "Incerti", , "devin.incerti@gmail.com", c("aut", "cre"))
Description: Functionality for developing and analyzing the output of health-economic
simulation models. Contains random sampling functions for conducting probabilistic
sensitivity analyses (Claxton et al. 2005) <doi:10.1002/hec.985> and
individual patient simulations (Brennan et al. 2006) <doi:10.1002/hec.1148>.
Individualized cost-effectiveness analysis (Basu and Meltzer 2007, Ioannidis and Garber 2011)
can be performed on simulation output and used to
summarize a probabilistic sensitivity analysis at the subgroup or individual
level. Core functions are written in C++ to facilitate computationally
Imports: data.table, Rcpp (>= 0.12.9), stats
Suggests: covr, ggplot2, knitr, msm, rmarkdown, scales, testthat,
Packaged: 2017-12-01 19:20:15 UTC; devin.incerti