Non-Parametric Estimation of Spatial Segregation in a Multivariate Point Process (spatialkernel)
Edge-corrected kernel density estimation and binary kernel regression estimation for multivariate spatial point process data. For details, see Diggle, P.J., Zheng, P. and Durr, P. A. (2005) <doi:10.1111/j.1467-9876.2005.05373.x>.

Time Series Regression Models with Distributed Lag Models (dLagM)
Provides time series regression models with one predictor using finite distributed lag models, polynomial (Almon) distributed lag models, geometric distributed lag models with Koyck transformation, and autoregressive distributed lag models. It also consists of functions for computation of h-step ahead forecasts from these models. See Baltagi (2011) <doi:10.1007/978-3-642-20059-5> for more information.

Change the Default Arguments in R Functions (default)
A simple syntax to change the default values for function arguments, whether they are in packages or defined locally.