Browse Items (9465 total)

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…

The rapid development of modern technology has created many complex datasets
in non-linear spaces, while most of the statistical hypothesis tests are only available in
Euclidean or Hilbert spaces. To properly analyze the data with more complicated…

Structural vector autoregressive (SVAR) models are frequently applied to trace the
contemporaneous linkages among (macroeconomic) variables back to an interplay of orthogonal structural shocks. Under Gaussianity the structural parameters are…

Forest inventories provide reliable evidence-based information to assess the state and
development of forests over time. They typically consist of a random sample of plot locations in the forest that are assessed individually by field crews. Due to…