c(person("Steven", "Xu", email = "sgxu@ncsu.edu", role = c("aut","cre")),
person("Reetam", "Majumder", email = "rmajumd3@ncsu.edu", role = c("aut")),
person("Brian", "Reich", email = "bjreich@ncsu.edu", role = c("ctb")))
Methods for flexible estimation of conditional density and quantile function, as well as model agnostic tools for analyzing quantile covariate effect and variable importance. The estimation method implements the semi-parametric quantile regression model described in Xu and Reich (2021) <doi:10.1111/biom.13576>, and the model agnostic tools extend accumulative local effects (ALE) to quantile regression setting.
Rcpp (>= 1.0.8), stats, torch, splines2, ggplot2, loo,
progress, progressr, interp, RColorBrewer, yaImpute, coro (>=
1.0.2)
Steven Xu [aut, cre],
Reetam Majumder [aut],
Brian Reich [ctb]

Statistical Package for Reliability Data Analysis
The Statistical Package for REliability Data Analysis (SPREDA) implements recently-developed statistical methods for the analysis of reliability data. Modern technological developments, such as sensors and smart chips, allow us to dynamically track product/system usage as well as other environmental variables, such as temperature and humidity. We refer to these variables as dynamic covariates. The package contains functions for the analysis of time-to-event data with dynamic covariates and degradation data with dynamic covariates. The package also contains functions that can be used for analyzing time-to-event data with right censoring, and with left truncation and right censoring. Financial support from NSF and DuPont are acknowledged.

Wald's Sequential Probability Ratio Test
Perform Wald's Sequential Probability Ratio Test on variables with a Normal, Bernoulli, Exponential and Poisson distribution. Plot acceptance and continuation regions, or create your own with the help of closures.

Site Percolation on Square Lattice (SPSL)
SPSL package provides functionality for labeling of
percolation cluster on 2D & 3D square lattice with various
lattice size, relative fraction of accessible sites (occupation
probability), iso- & anisotropy, von Neumann & Moore
d-neighborhood