Analysis of Archaeological Mortality Data
c(
person("Nils", "Mueller-Scheessel", email = "nils.mueller-scheessel@ufg.uni-kiel.de", role = c("aut", "cre", "cph")),
person("Martin", "Hinz", email = "martin.hinz@ufg.uni-kiel.de", role = c("aut")),
person("Clemens", "Schmid", email = "clemens@nevrome.de", role = c("aut")),
person("Christoph", "Rinne", email = "crinne@ufg.uni-kiel.de", role = c("aut")),
person("Daniel", "Knitter", email = "knitter@geographie.uni-kiel.de", role = c("aut")),
person("Wolfgang", "Hamer", email = "hamer@geographie.uni-kiel.de", role = c("aut")),
person("Dirk", "Seidensticker", email = "dirk.seidensticker@uni-tuebingen.de", role = c("aut")),
person("Franziska", "Faupel", email = "ffaupel@ufg.uni-kiel.de", role = c("aut")),
person("Carolin", "Tietze", email = "Carolin Tietze <ctietze1991@gmail.com>", role = c("aut")),
person("Nicole", "Grunert", email = "nicolegrunert@gmail.com", role = c("aut")))
A collection of functions for the analysis of archaeological mortality
data (on the topic see e.g. Chamberlain 2006
<https://books.google.de/books?id=nG5FoO_becAC&lpg=PA27&ots=LG0b_xrx6O&dq=life%20table%20archaeology&pg=PA27#v=onepage&q&f=false>).
It takes demographic data in different formats and displays the result in a standard life table
as well as plots the relevant indices (percentage of deaths, survivorship, probability of death, life expectancy, percentage of population).
testthat, knitr, rmarkdown, tidyverse, tidyr, dplyr, ggplot2,
RCurl
Nils Mueller-Scheessel [aut, cre, cph],
Martin Hinz [aut],
Clemens Schmid [aut],
Christoph Rinne [aut],
Daniel Knitter [aut],
Wolfgang Hamer [aut],
Dirk Seidensticker [aut],
Franziska Faupel [aut],
Carolin Tietze [aut],
Nicole Grunert [aut]

testthat, knitr, rmarkdown, tidyr, dplyr, ggplot2, RCurl

c(
person("Nils", "Mueller-Scheessel", email = "nils.mueller-scheessel@ufg.uni-kiel.de", role = c("aut", "cre", "cph")),
person("Martin", "Hinz", email = "martin.hinz@ufg.uni-kiel.de", role = c("aut")),
person("Clemens", "Schmid", email = "clemens@nevrome.de", role = c("aut")),
person("Christoph", "Rinne", email = "crinne@ufg.uni-kiel.de", role = c("aut")),
person("Daniel", "Knitter", email = "knitter@geographie.uni-kiel.de", role = c("aut")),
person("Wolfgang", "Hamer", email = "hamer@geographie.uni-kiel.de", role = c("aut")),
person("Dirk", "Seidensticker", email = "dirk.seidensticker@uni-tuebingen.de", role = c("aut")),
person("Franziska", "Faupel", email = "ffaupel@ufg.uni-kiel.de", role = c("aut")),
person("Carolin", "Tietze", email = "ctietze1991@gmail.com", role = c("aut")),
person("Nicole", "Grunert", email = "nicolegrunert@gmail.com", role = c("aut")))
testthat, knitr, rmarkdown, tidyr, dplyr, ggplot2