Browse Items (9465 total)

Gene expression data provide an abundant resource for inferring connections in gene
regulatory networks. While methodologies developed for this task have shown success, a
challenge remains in comparing the performance among methods. Gold-standard…

“Optimal cutpoints” for binary classification tasks are often established by testing
which cutpoint yields the best discrimination, for example the Youden index, in a specific
sample. This results in “optimal” cutpoints that are highly variable and…

This paper describes the R package EpiILMCT, which allows users to study the spread
of infectious disease using continuous time individual level models (ILMs). The package provides tools for simulation from continuous time ILMs that are based on…

Even though adaptive two-stage designs with unblinded interim analyses are becoming
increasingly popular in clinical trial designs, there is a lack of statistical software to make
their application more straightforward. The package adoptr fills…

Multiplex social networks are characterized by a common set of actors connected
through multiple types of relations. The multinet package provides a set of R functions
to analyze multiplex social networks within the more general framework of…

Conformal predictors estimate the reliability of outcomes made by supervised machine
learning models. Instead of a point value, conformal prediction defines an outcome region
that meets a user-specified reliability threshold. Provided that the data…

NScluster is an R package used for simulation and parameter estimation for NeymanScott cluster point process models and their extensions. For parameter estimation, NScluster uses the maximum Palm likelihood estimation procedure. As some estimation…

A plethora of disparate statistical methods have been proposed for subgroup identification to help tailor treatment decisions for patients. However a majority of them do not
have corresponding R packages and the few that do pertain to particular…

FRK is an R software package for spatial/spatio-temporal modeling and prediction
with large datasets. It facilitates optimal spatial prediction (kriging) on the most commonly used manifolds (in Euclidean space and on the surface of the sphere), for…

The MixGHD package for R performs model-based clustering, classification, and discriminant analysis using the generalized hyperbolic distribution (GHD). This approach
is suitable for data that can be considered a realization of a (multivariate)…