c(
person("Philipp", "Adämmer",
email   = "adaemmer@hsu-hh.de",
role    = c("aut", "cre"),
comment = c(ORCID = "0000-0003-3770-0097")),
person("James P.", "LeSage",
email   = "jlesage@spatial-econometrics.com",
role    = c("ctb")),
person("Mehmet", "Balcilar",
email   = "mbalcilar@yahoo.com",
role    = c("ctb")))
Provides functions to estimate and plot linear as well as nonlinear impulse
responses based on local projections by Jordà (2005) <doi:10.1257/0002828053828518>.
Philipp Adämmer [aut, cre] (<https://orcid.org/0000-0003-3770-0097>),
James P. LeSage [ctb],
Mehmet Balcilar [ctb]

testthat, ggpubr, gridExtra, httr, readxl

c(
person("Philipp", "Adämmer",
email   = "adaemmer@hsu-hh.de",
role    = c("aut", "cre"),
comment = c(ORCID = "0000-0003-3770-0097")),
person("James P.", "LeSage",
email   = "jlesage@spatial-econometrics.com",
role    = c("ctb")),
person("Mehmet", "Balcilar",
email   = "mbalcilar@yahoo.com",
role    = c("ctb")),
person("Jon", "Danielsson",
email   = "j.danielsson@lse.ac.uk",
role    = c("ctb")))
testthat, httr, readxl, knitr, rmarkdown, quantmod, zoo, vars
Philipp Adämmer [aut, cre] (<https://orcid.org/0000-0003-3770-0097>),
James P. LeSage [ctb],
Mehmet Balcilar [ctb],
Jon Danielsson [ctb]

testthat, httr, ggpubr, readxl, knitr, rmarkdown, quantmod,
zoo, vars

testthat, httr, readxl, knitr, rmarkdown, zoo, vars

testthat, readxl, knitr, rmarkdown, zoo, vars

Provides functions to estimate and visualize linear as well as nonlinear impulse
responses based on local projections by Jordà (2005) <doi:10.1257/0002828053828518>.
The methods and the package are explained in detail in Adämmer (2019) <doi:10.32614/RJ-2019-052>.
testthat (>= 3.0.0), readxl, knitr, ggpubr, rmarkdown, zoo,
vars

Local Partial Likelihood Estimation and Simultaneous Confidence
Band
Bingshu Chen [aut, cre], Yicong Liu [aut], Siwei Zhang [aut], Teng Wen [aut]
Local partial likelihood estimation by Fan, Lin and Zhou(2006)<doi:10.1214/009053605000000796> and simultaneous confidence band is a set of tools to test the covariates-biomarker interaction for survival data. Test for the covariates-biomarker interaction using the bootstrap method and the asymptotic method with simultaneous confidence band (Liu, Jiang and Chen (2015)<doi:10.1002/sim.6563>).