{"Package":"lpirfs","Type":"Package","Title":"Local Projections Impulse Response Functions","Version":"0.1.9","Authors@R":"c(\nperson(\"Philipp\", \"Admmer\",\nemail = \"adaemmer@hsu-hh.de\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-3770-0097\")),\nperson(\"James P.\", \"LeSage\",\nemail = \"jlesage@spatial-econometrics.com\",\nrole = c(\"ctb\")),\nperson(\"Mehmet\", \"Balcilar\",\nemail = \"mbalcilar@yahoo.com\",\nrole = c(\"ctb\")),\nperson(\"Jon\", \"Danielsson\",\nemail = \"j.danielsson@lse.ac.uk\",\nrole = c(\"ctb\")))","Maintainer":"Philipp Admmer ","BugReports":"https://github.com/adaemmerp/lpirfs/issues","Description":"Provides functions to estimate and plot linear as well as nonlinear impulse\nresponses based on local projections by Jord (2005) .","License":"GPL (>= 2)","Depends":"R (>= 3.1.2)","Encoding":"UTF-8","LazyData":"true","NeedsCompilation":"yes","Imports":"doParallel(>= 1.0.15), dplyr(>= 1.0.0), foreach(>= 1.5.0),\nggplot2(>= 3.3.0), ggpubr(>= 0.3.0), gridExtra(>= 2.3),\nlmtest(>= 0.9-36), plm(>= 2.2-3), sandwich(>= 2.5-1), Rcpp(>=\n1.0.4.6)","RoxygenNote":"7.1.0","LinkingTo":"Rcpp, RcppArmadillo","Suggests":"testthat, httr, readxl, knitr, rmarkdown, zoo, vars","VignetteBuilder":"knitr","Packaged":"2020-06-14 08:15:06 UTC; adaemmep","Author":"Philipp Admmer [aut, cre] (),\nJames P. LeSage [ctb],\nMehmet Balcilar [ctb],\nJon Danielsson [ctb]","Repository":"CRAN","Date/Publication":"2020-06-14 08:50:02 UTC","repoType":"cran","tarballUrl":"ftp://cran.r-project.org/pub/R/src/contrib/lpirfs_0.1.9.tar.gz","jsonAuthors":[{"name":"Philipp Admmer","email":"adaemmer@hsu-hh.de","maintainer":true},{"name":"James P. LeSage","email":"jlesage@spatial-econometrics.com","maintainer":false},{"name":"Mehmet Balcilar","email":"mbalcilar@yahoo.com","maintainer":false},{"name":"Jon Danielsson","email":"j.danielsson@lse.ac.uk","maintainer":false}],"readme":"\n\n\n# lpirfs [![CRAN Version](https://www.r-pkg.org/badges/version/lpirfs)](https://CRAN.R-project.org/package=lpirfs)\n\n[![Build\nStatus](https://travis-ci.com/AdaemmerP/lpirfs.svg)](https://travis-ci.com/AdaemmerP/lpirfs)\n[![Downloads](https://cranlogs.r-pkg.org/badges/lpirfs)](https://CRAN.R-project.org/package=lpirfs)\n[![Total\nDownloads](https://cranlogs.r-pkg.org/badges/grand-total/lpirfs?color=orange)](https://CRAN.R-project.org/package=lpirfs)\n[![Coverage\nStatus](https://codecov.io/gh/adaemmerp/lpirfs/graph/badge.svg)](https://codecov.io/github/adaemmerp/lpirfs?branch=master)\n\n# About\n\nAn R-package which estimates linear and nonlinear impulse responses with\nlocal projections by [Jordà\n(2005)](https://www.aeaweb.org/articles?id=10.1257/0002828053828518).\n\n## Main features\n\n - Estimates linear and nonlinear impulse responses with local\n projections.\n - Estimates linear and nonlinear impulse responses with identified\n shock and/or with 2SLS.\n - Estimates linear and nonlinear impulse responses with local\n projections for panel data.\n - Functions to plot linear and nonlinear impulse responses.\n - Functions are partly implemented in *Rcpp*/*RcppArmadillo* and\n partly written for parallel computation to improve efficiency.\n\n## Installation\n\nYou can install the released version of **lpirfs** from\n[CRAN](https://CRAN.R-project.org):\n\n``` r\ninstall.packages(\"lpirfs\")\n```\n\nYou can install the development version of **lpirfs** from\n[GitHub](https://github.com/):\n\n``` r\n# install.packages(\"devtools\")\ndevtools::install_github(\"AdaemmerP/lpirfs\")\n```\n\nThe package compiles some C++ source code for installation, which is why\nyou need the appropriate compilers:\n\nOn Windows you need\n[Rtools](https://cran.r-project.org/bin/windows/Rtools/) available from\nCRAN.\n\nOn macOS you need the Clang 6.x compiler and the GNU Fortran compiler\nfrom [macOS tools](https://cran.r-project.org/bin/macosx/tools/). Having\ninstalled the compilers, you need to open a terminal and start R via\n‘PATH=/usr/local/clang6/bin:$PATH R’. Yo can then install the package\nvia *devtools::install\\_github(“AdaemmerP/lpirfs”)*\n\n## How to use\n\nThe paper about the package can be found\n[here.](https://journal.r-project.org/archive/2019/RJ-2019-052/index.html)\nThe vignette of the package can be found\n[here.](https://cran.r-project.org/package=lpirfs)\n\n## Acknowledgements\n\nI am thankful to Òscar\n[Jordà](https://sites.google.com/site/oscarjorda/) for encouraging\ncomments and helpful suggestions. I am also indebted to Sarah\n[Zubairy](https://sites.google.com/site/sarahzubairy/) for providing the\nMatlab code before the publication of their\n[paper](https://www.journals.uchicago.edu/doi/10.1086/696277).\n\nI greatly benefitted from the helpful remarks by Jon\n[Danielsson](http://www.systemicrisk.ac.uk/people/jon-danielsson) and\nthe profound *R*, *Rcpp* and *GitHub* knowledge of Philipp\n[Wittenberg](https://github.com/wittenberg) and Detlef (overflow)\n[Steuer](https://github.com/dsteuer). Last but not least, I am grateful\nto Philipp Dybowski without whom I would have never started this\nproject.\n\nAll remaining errors are obviously mine.\n\n### Author\n\nPhilipp Adämmer\n\n### License\n\nGPL (\\>= 2)","jobInfo":{"package":"lpirfs","version":"0.1.9","parsingStatus":"success","parserVersion":1,"parsedAt":"2021-03-23T17:30:08+0000"}}

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