diff --git a/DESCRIPTION b/DESCRIPTION index d474334..e79e71b 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -48,6 +48,6 @@ Suggests: knitr VignetteBuilder: knitr -RoxygenNote: 7.2.1 +RoxygenNote: 7.2.3 Encoding: UTF-8 LazyData: true diff --git a/R/amelia-package.R b/R/amelia-package.R new file mode 100644 index 0000000..36b9b75 --- /dev/null +++ b/R/amelia-package.R @@ -0,0 +1,2 @@ +#' @keywords internal +"_PACKAGE" diff --git a/man/Amelia-package.Rd b/man/Amelia-package.Rd new file mode 100644 index 0000000..c06429f --- /dev/null +++ b/man/Amelia-package.Rd @@ -0,0 +1,28 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/amelia-package.R +\docType{package} +\name{Amelia-package} +\alias{Amelia} +\alias{Amelia-package} +\title{Amelia: A Program for Missing Data} +\description{ +A tool that "multiply imputes" missing data in a single cross-section (such as a survey), from a time series (like variables collected for each year in a country), or from a time-series-cross-sectional data set (such as collected by years for each of several countries). Amelia II implements our bootstrapping-based algorithm that gives essentially the same answers as the standard IP or EMis approaches, is usually considerably faster than existing approaches and can handle many more variables. Unlike Amelia I and other statistically rigorous imputation software, it virtually never crashes (but please let us know if you find to the contrary!). The program also generalizes existing approaches by allowing for trends in time series across observations within a cross-sectional unit, as well as priors that allow experts to incorporate beliefs they have about the values of missing cells in their data. Amelia II also includes useful diagnostics of the fit of multiple imputation models. The program works from the R command line or via a graphical user interface that does not require users to know R. +} +\seealso{ +Useful links: +\itemize{ + \item \url{https://gking.harvard.edu/amelia} +} + +} +\author{ +\strong{Maintainer}: Matthew Blackwell \email{mblackwell@gov.harvard.edu} (\href{https://orcid.org/0000-0002-3689-9527}{ORCID}) + +Authors: +\itemize{ + \item James Honaker \email{james@hona.kr} + \item Gary King \email{king@harvard.edu} +} + +} +\keyword{internal} diff --git a/man/amelia.package.Rd b/man/amelia.package.Rd deleted file mode 100755 index 135b46e..0000000 --- a/man/amelia.package.Rd +++ /dev/null @@ -1,37 +0,0 @@ -\name{Amelia-package} -\alias{Amelia-package} -\docType{package} -\title{Amelia II: A Program for Missing Data} -\description{Uses a bootstrap+EM algorithm to impute missing values - from a dataset and produces multiple output datasets for analysis.} -\details{ -\tabular{ll}{ -Package: \tab amelia\cr -Type: \tab Package\cr -Version: \tab 1.0\cr -Date: \tab 2006-03-03\cr -License: \tab See Manual\cr -} -You can use the package in one of two ways: either by invoking the -\code{ameliagui()} command and running the program from a graphical -interface or by loading in your data and then running the \code{amelia} -function on the data. - -If you use the GUI in Windows, makes sure that you run R under a Single -Window Interface (SDI) as it will try to grab focus from the GUI if -you don't. -} -\author{ -James Honaker, Matthew Blackwell, Gary King -} -\references{James Honaker, Gary King, Matthew Blackwell (2011). - Amelia II: A Program for Missing Data. - \emph{Journal of Statistical Software}, \bold{45(7)}, 1--47. - URL http://www.jstatsoft.org/v45/i07/. - -King, Gary; James Honaker, Anne Joseph, and Kenneth Scheve. \"Analyzing -Incomplete Political Science Data: An Alternative Algorithm for Multiple -Imputation\", \emph{American Political Science Review}, Vol. 95, No. 1 -(March, 2001): Pp. 49-69. -} -\keyword{package}