Packaged: 2017-07-22 14:00:15 UTC; msautreuil

Title: Soft Maximin Estimation for Large Scale Array-Tensor Models
Description: Efficient design matrix free procedure for solving a soft maximin problem for  large scale array-tensor structured models. Currently Lasso and SCAD penalized estimation is implemented.

Description: Efficient design matrix free procedure for solving a soft maximin problem for  large scale array-tensor structured models, see Lund, Mogensen and Hansen (2019) <arXiv:1805.02407>. Currently Lasso and SCAD penalized estimation is implemented.

Title: Soft Maximin Estimation for Large Scale Heterogeneous Data
Description: Efficient procedure for solving the soft maximin problem for large scale heterogeneous data, see Lund, Mogensen and Hansen (2021) <arXiv:1805.02407>. Currently Lasso and SCAD penalized estimation is implemented. Note this package subsumes and replaces the SMMA package.

Title: Soft Maximin Estimation for Large Scale Heterogeneus Data

Description: Efficient procedure for solving the soft maximin problem for large scale heterogeneous data, see Lund, Mogensen and Hansen (2022) <doi:10.1111/sjos.12580>. Currently Lasso and SCAD penalized estimation is implemented. Note this package subsumes and replaces the SMMA package.

Title: The Swiss Municipality Merger Tool Maps Municipalities Over Time
Description: In Switzerland, the landscape of municipalities is changing rapidly
mainly due to mergers. The Swiss Municipality Merger Tool
automatically detects these mutations and maps municipalities over time, i.e. municipalities of an old state
to municipalities of a new state. This functionality is helpful when working
with datasets that are based on different spatial references. The spatial
reference in this context signifies a set of municipalities at a given point in time.
Author: Valentin Knechtl [aut, cre] (<https://orcid.org/0000-0002-8545-8883>)

Title: The Swiss Municipal Data Merger Tool Maps Municipalities Over
mainly due to mergers. The Swiss Municipal Data Merger Tool