Spatial and Spatio-Temporal Semiparametric Regression Models
with Spatial Lags
c(person("Roman", "Minguez", email = "roman.minguez@uclm.es",
role = c("aut", "cre"), comment = c(ORCID = "0000-0002-0490-3181")),
person("Roberto", "Basile", email = "roberto.basile@univaq.it",
role = c("aut"), comment = c(ORCID = "0000-0002-4531-2820")),
person("Maria", "Durban", email = "mdurban@est-econ.uc3m.es",
role = c("aut"), comment = c(ORCID = "0000-0002-4272-7895")),
person("Gonzalo", "Espana-Heredia", email = "gehllanza@gmail.com",
role = c("aut")))
Estimation and inference of spatial and spatio-temporal
semiparametric models including spatial or spatio-temporal non-parametric
trends, parametric and non-parametric covariates and, possibly, a spatial
lag for the dependent variable and temporal correlation in the noise.
The spatio-temporal trend can be decomposed in ANOVA way including main and
interaction functional terms. Use of SAP algorithm to estimate the spatial
or spatio-temporal trend and non-parametric covariates. The methodology of
these models can be found in next references
Basile, R. et al. (2014), <doi:10.1016/j.jedc.2014.06.011>;
Rodriguez-Alvarez, M.X. et al. (2015) <doi:10.1007/s11222-014-9464-2> and,
particularly referred to the focus of the package, Minguez, R.,
Basile, R. and Durban, M. (2020) <doi:10.1007/s10260-019-00492-8>.
Roman Minguez [aut, cre] (<https://orcid.org/0000-0002-0490-3181>),
Roberto Basile [aut] (<https://orcid.org/0000-0002-4531-2820>),
Maria Durban [aut] (<https://orcid.org/0000-0002-4272-7895>),
Gonzalo Espana-Heredia [aut]

2022-07-04 19:20:19 UTC; Roman Minguez Salido

Spearman's rank correlation test with improved accuracy

Spearman's rank correlation test with precomputed exact
null distribution for n <= 22.

S original by Jim Ramsey <ramsay@psych.mcgill.ca>.
R port by  Brian Ripley <ripley@stats.ox.ac.uk>.
Smoothing splines with penalties on order m derivatives.

S original by Jim Ramsey <ramsay@psych.mcgill.ca>. R port by
Brian Ripley <ripley@stats.ox.ac.uk>.