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Interface Between R and the OpenStreetMap-Based Routing Service OSRM
An interface between R and the 'OSRM' API. 'OSRM' is a routing service based on 'OpenStreetMap' data. See < http://project-osrm.org/> for more information. This package enables the computation of routes, trips, isochrones and travel distances matrices (travel time and kilometric distance).
ROBustness in Network
Assesses the robustness of the community structure of a network found by one or more community detection algorithm to give indications about their reliability. It detects if the community structure found by a set of algorithms is statistically significant and compares the different selected detection algorithms on the same network. robin helps to choose among different community detection algorithms the one that better fits the network of interest. Reference in Policastro V., Righelli D., Carissimo A., Cutillo L., De Feis I. (2021) < https://journal.r-project.org/archive/2021/RJ-2021-040/index.html>.
Visualize the Effect of a Continuous Variable on a Time-to-Event Outcome
Graphically display the (causal) effect of a continuous variable on a time-to-event outcome
using multiple different types of plots based on g-computation. Those functions
include, among others, survival area plots, survival contour plots, survival quantile plots and
3D surface plots. Due to the use of g-computation, all plot allow confounder-adjustment naturally.
For details, see Robin Denz, Nina Timmesfeld (2023)
Weierstrass and Jacobi Elliptic Functions
A suite of elliptic and related functions including Weierstrass and Jacobi forms. Also includes various tools for manipulating and visualizing complex functions.
Calculate Slopes of Roads, Rivers and Trajectories
Calculates the slope (longitudinal gradient or steepness)
of linear geographic features such as roads (for more details, see Ariza-López et al. (2019)
Easy Spatial Microsimulation (Raking) in R
Functions for performing spatial microsimulation ('raking') in R.
Alluvial Diagrams
Creating alluvial diagrams (also known as parallel sets plots) for multivariate and time series-like data.
Simulate Data from a (Time-Dependent) Causal DAG
Simulate complex data from a given directed acyclic graph and information about each individual node.
Root nodes are simply sampled from the specified distribution. Child Nodes are simulated according to
one of many implemented regressions, such as logistic regression, linear
regression, poisson regression or any other function. Also includes a comprehensive framework for discrete-time
simulation, discrete-event simulation, and networks-based simulation which can generate even more complex longitudinal and dependent data.
For more details, see Robin Denz, Nina Timmesfeld (2025)
Meta-Package for Thematic Mapping with 'tmap'
Attaches a set of packages commonly used for spatial plotting with 'tmap'. It includes 'tmap' and its extensions ('tmap.glyphs', 'tmap.networks', 'tmap.cartogram', 'tmap.mapgl'), as well as supporting spatial data packages ('sf', 'stars', 'terra') and 'cols4all' for exploring color palettes. The collection is designed for thematic mapping workflows and does not include the full set of packages from the R-spatial ecosystem.
Bayesian Calibration of Complex Computer Codes
Performs Bayesian calibration of computer models as per Kennedy and O'Hagan 2001. The package includes routines to find the hyperparameters and parameters; see the help page for stage1() for a worked example using the toy dataset. A tutorial is provided in the calex.Rnw vignette; and a suite of especially simple one dimensional examples appears in inst/doc/one.dim/.