Browse Items (8208 total)

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)…

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…

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…

Calling multi-threaded C++ code from R has its perils. Since the R interpreter is
single-threaded, one must not check for user interruptions or print to the R console from
multiple threads. One can, however, synchronize with R from the main thread.…

Checking data quality against domain knowledge is a common activity that pervades
statistical analysis from raw data to output. The R package validate facilitates this
task by capturing and applying expert knowledge in the form of validation rules:…

In several applied fields, multimodality assessment is a crucial task as a previous
exploratory tool or for determining the suitability of certain distributions. The goal of
this paper is to present the utilities of the R package multimode, which…

Time series data, i.e., temporally ordered data, is routinely collected and analysed
in in many fields of natural science, economy, technology and medicine, where it is of
importance to verify the assumption of stochastic stationarity prior to…

FamEvent is a comprehensive R package for simulating and modeling age-at-disease
onset in families carrying a rare gene mutation. The package can simulate complex family
data for variable time-to-event outcomes under three common family study…