Local regression, likelihood and density estimation.

Local Regression, Likelihood and Density Estimation
c(person("Catherine", "Loader", role = "aut"),
person("Jiayang", "Sun", role = "ctb"),
person("Lucent Technologies", role = "cph"),
person("Andy", "Liaw", role = "cre",
email="andy_liaw@merck.com"))
Catherine Loader [aut],
Jiayang Sun [ctb],
Lucent Technologies [cph],
Andy Liaw [cre]
Local regression, likelihood and density estimation methods as described in the 1999 book by Loader.

Test of stationarity and localized autocovariance
c(person("Guy", "Nason", role=c("aut", "cre"),
email="g.p.nason@bristol.ac.uk"))
Provides test of second-order stationarity for time
series. Provides localized autocovariance, with confidence
intervals, for locally stationary (nonstationary) time series.

Test of Stationarity and Localized Autocovariance
Provides test of second-order stationarity for time
series (for dyadic and arbitrary-n length data). Provides
localized autocovariance, with confidence intervals,
for locally stationary (nonstationary) time series.

c(person("Guy", "Nason", role=c("aut", "cre"),
email="g.nason@imperial.ac.uk"))
Provides test of second-order stationarity for time
series (for dyadic and arbitrary-n length data). Provides
localized autocovariance, with confidence intervals,
for locally stationary (nonstationary) time series.
See Nason, G P (2013) "A test for second-order stationarity and
approximate confidence intervals for localized autocovariance
for locally stationary time series." Journal of the Royal Statistical
Society, Series B, 75, 879-904.  <doi:10.1111/rssb.12015>.

Computes local polynomial estimators for
the regression and also density. It comprises several
different utilities to handle kernel estimators.

c(
person("Jorge Luis", "Ojeda Cabrera", email="jojeda@unizar.es", role = c("aut", "cre")),
person("Bastiaan", "Quast", email="bquast@gmail.com", role = "ctb",
comment = c(ORCID = "0000-0002-2951-3577")))
Jorge Luis Ojeda Cabrera [aut, cre],
Bastiaan Quast [ctb] (<https://orcid.org/0000-0002-2951-3577>)