The Cochran-Armitage Trend Test (CATT)
The Cochran-Armitage trend test can be applied to a two by k contingency table. The test statistic (Z) and p-value will be reported. A linear trend in the frequencies will be calculated, because the weights (0,1,2) will be used by default.

Out of Bag Learning Curve (OOBCurve)
Provides a function to calculate the out-of-bag learning curve for random forests for any measure that is available in the ‘mlr’ package. Supported random forest packages are ‘randomForest’ and ‘ranger’ and trained models of these packages with the train function of ‘mlr’.

Fitting Point Process Models via the Palm Likelihood (palm)
Functions for the fitting of point process models using the Palm likelihood. First proposed by Tanaka, Ogata, and Stoyan (2008) <DOI:10.1002/bimj.200610339>, maximisation of the Palm likelihood can provide computationally efficient parameter estimation in situations where the full likelihood is intractable. This package is chiefly focused on Neyman-Scott point processes, but can also fit void processes. The development of this package was motivated by the analysis of capture-recapture surveys on which individuals cannot be identified—the data from which can conceptually be seen as a clustered point process. As such, some of the functions in this package are specifically for the estimation of cetacean density from two-camera aerial surveys.

Data Frames in R for Make (drake)
Efficiently keep your results up to date with your code.

GeoServer REST API R Interface (geosapi)
Provides an R interface to the GeoServer REST API, allowing to upload and publish data in a GeoServer web-application and expose data to OGC Web-Services. The package currently supports all CRUD (Create,Read,Update,Delete) operations on GeoServer workspaces, namespaces, datastores (stores of vector data), featuretypes, layers, styles, as well as vector data upload operations. For more information about the GeoServer REST API, see <http://…/>.