person("Sebastian", "Letmathe", role = "ctb"))
Packaged: 2021-08-17 20:55:21 UTC; Bastian Schäfer

person("Bastian", "Schaefer", , "bastian.schaefer@uni-paderborn.de", role = c("aut", "cre")),
person("Sebastian", "Letmathe", role = "ctb"),
Description: Nonparametric smoothing techniques for data on a lattice and
functional time series. Smoothing is done via kernel regression or
local polynomial regression, a bandwidth selection procedure based on
an iterative plug-in algorithm is implemented. This package allows for
modeling a dependency structure of the error terms of the
nonparametric regression model.  Methods used in this paper are
Imports: doParallel, foreach, fracdiff, parallel, plotly, Rcpp, stats
Packaged: 2021-10-21 14:58:07 UTC; Bastian Schäfer

Title: Analyzing Dichotomous Choice Contingent Valuation Data
Authors@R: c( person("Tomoaki", "Nakatani", role = c("aut",
"cph"), email = "naktom2@gmail.com", comment = "original developer"), person("Hideo", "Aizaki",
role = c("aut", "cre"), email = "azk-r@spa.nifty.com", comment = "code
patches"), person("Kazuo", "Sato", role = "ctb", email =
"satokazu@rakuno.ac.jp", comment = "theoretical part of the
Depends: R (>= 3.1.0), stats, MASS, Ecdat, interval
Description: Functions for analyzing dichotomous choice contingent valuation (CV) data. It provides
functions for estimating parametric and nonparametric models for single- and double-bounded
Author: Tomoaki Nakatani [aut, cph] (original developer),
Kazuo Sato [ctb] (theoretical part of the manual)

Depends: R (>= 3.1.0), stats, MASS, interval, Formula

functions for estimating parametric and nonparametric models for single-, one-and-one-half-,

Depends: R (>= 3.5.0), stats, MASS, interval, Formula
and double-bounded CV data. For details, see Aizaki et al. (2014) <doi:10.1201/b17292>.

Authors@R: c( person("Tomoaki", "Nakatani", role = c("aut", "cph"),
email = "naktom2@gmail.com", comment = "original developer"),
person("Hideo", "Aizaki", role = c("aut", "cre"),
email = "azk-r@spa.nifty.com", comment = "code patches"),
person("Kazuo", "Sato", role = "ctb", email = "satokazu@rakuno.ac.jp",
comment = "theoretical part of the manual"))
Description: Functions for analyzing dichotomous choice contingent
valuation (CV) data. It provides functions for estimating parametric and
nonparametric models for single-, one-and-one-half-, and double-bounded
CV data. For details, see Aizaki et al. (2014) <doi:10.1201/b17292>.