survival, rms, rgenoud, mgcv, stats, graphics

Solution Paths for Linear and Logistic Regression Models with
SCOPE Penalty
Computes solutions for linear and logistic regression models with a nonconvex penalty (SCOPE) in an efficient path-wise fashion (Stokell, Shah and Tibshirani 2020, <arXiv:2002.12606>). The scaling of the solution paths is selected automatically. Includes functionality for selecting tuning parameter lambda by k-fold cross-validation and early termination based on information criteria. Solutions are computed by cyclical block-coordinate descent, iterating an innovative dynamic programming algorithm to compute exact solutions for each block.
Benjamin Stokell [aut],
Daniel Grose [ctb, cre],
Rajen Shah [ctb]

Computes solutions for linear and logistic regression models with a nonconvex penalty (SCOPE) in an efficient path-wise fashion. The scaling of the solution paths is selected automatically. Includes functionality for selecting tuning parameter lambda by k-fold cross-validation and early termination based on information criteria. Solutions are computed by cyclical block-coordinate descent, iterating an innovative dynamic programming algorithm to compute exact solutions for each block.

Solution Paths for Linear and Logistic Regression Models with
Categorical Predictors, with SCOPE Penalty
Computes solutions for linear and logistic regression models with potentially high-dimensional categorical predictors. This is done by applying a nonconvex penalty (SCOPE) and computing solutions in an efficient path-wise fashion. The scaling of the solution paths is selected automatically. Includes functionality for selecting tuning parameter lambda by k-fold cross-validation and early termination based on information criteria. Solutions are computed by cyclical block-coordinate descent, iterating an innovative dynamic programming algorithm to compute exact solutions for each block.

Interface to the API 'Sede Electronica Del Catastro'
c(
person("Ángel", "Delgado Panadero", , "delgadopanadero@gmail.com", role = c("aut", "cph"),
comment = c(ORCID = "0000-0002-8189-9251")),
person("Iñaki", "Ucar", role = "ctb",
comment = c(ORCID = "0000-0001-6403-5550")),
person("Diego", "Hernangómez", , "diego.hernangomezherrero@gmail.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0001-8457-4658"))
)
Access public spatial data available under the 'INSPIRE'
directive. Tools for downloading references and addresses of
properties, as well as map images.
dplyr, httr, lifecycle, mapSpain (>= 0.6.0), rappdirs (>=
0.3.0), sf (>= 1.0.0), stringi, terra, tibble, xml2
ggplot2, ggspatial, knitr, png, raster, rmarkdown,
slippymath, testthat (>= 3.0.0)
© Dirección General del Catastro
<https://www.catastro.meh.es/>
Ángel Delgado Panadero [aut, cph]
(<https://orcid.org/0000-0002-8189-9251>),
Iñaki Ucar [ctb] (<https://orcid.org/0000-0001-6403-5550>),
Diego Hernangómez [aut, cre] (<https://orcid.org/0000-0001-8457-4658>)