Point Process Models with LASSO Penalties
Toolkit for fitting point process models with sequences of LASSO penalties ("regularisation paths"). Regularisation paths of Poisson point process models or area-interaction models can be fitted with LASSO, adaptive LASSO or elastic net penalties. A number of criteria are available to judge the bias-variance tradeoff.

Point Process Models with LASSO-Type Penalties
Toolkit for fitting point process models with sequences of LASSO penalties ("regularisation paths"), as described in Renner, I.W. and Warton, D.I. (2013) <doi:10.1111/j.1541-0420.2012.01824.x>. Regularisation paths of Poisson point process models or area-interaction models can be fitted with LASSO, adaptive LASSO or elastic net penalties. A number of criteria are available to judge the bias-variance tradeoff.
R (>= 4.0.0), spatstat.core, spatstat.geom, spatstat (>=
2.0-0)
methods, data.table, lattice, stats, plyr

The pps package contains functions to select samples using PPS
(probability proportional to size) sampling. It also includes a function for
stratified simple random sampling, a function to compute joint
inclusion probabilities for Sampford's method of PPS sampling, and a few
utility functions.

The pps package contains functions to select samples using
PPS (probability proportional to size) sampling. It also
includes a function for stratified simple random sampling, a
function to compute joint inclusion probabilities for
Sampford's method of PPS sampling, and a few utility functions.
The user's guide pps-ug.pdf is included.

Functions to select samples using PPS (probability proportional to size) sampling. The package also includes a function for stratified simple random sampling, a function to compute joint inclusion probabilities for Sampford's method of PPS sampling, and a few utility functions. The user's guide pps-ug.pdf is included in the .../pps/doc directory. The methods are described in standard survey sampling theory books such as Cochran's "Sampling Techniques"; see the user's guide for references.