Browse Items (15 total)

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…

“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…

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)…

The INLAMSM package for the R programming language provides a collection of
multivariate spatial models for lattice data that can be used with the INLA package for
Bayesian inference. The multivariate spatial models implemented include different…

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…

We present mexhaz, an R package for fitting flexible hazard-based regression models
with the possibility to add time-dependent effects of covariates and to account for a twolevel hierarchical structure in the data through the inclusion of a normally…

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…

Multivariate time series observations are increasingly common in multiple fields of
science but the complex dependencies of such data often translate into intractable models
with large number of parameters. An alternative is given by first reducing…

Monitoring data while it is processed and transformed can yield detailed insight into
the dynamics of a (running) production system. The lumberjack package is a lightweight
package allowing users to follow how an R object is transformed as it is…

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…