inst/ksapp/www/md/overview.md
In geanes/kidstats: Subadult age and sex estimations based on long bone measurements
Overview
KidStats permits the application of robust multivariate statistical analyses to produce subadult age and sex estimations with 95% prediction intervals and bootstrapped classification accuracies, respectively. Kidstats communicates with R (R Core Team, 2013) and primarily uses the earth (Milborrow, 2013) and mda (Leisch et al., 2011) packages to produce the statistical outputs. The earth package employs multivariate adaptive regression splines (MARS) for age at death estimation and the mda package employs flexible discriminant analysis (FDA) for sex estimation.
The only reference sample that is currently available for model creation is from South Africa (n = 1310). The subadults are between the ages of birth and 12 years and include individuals from the three largest South African social races. The even age distribution (minus a few smaller sample sizes at the two youngest age categories and the oldest age category) and large sample ensures the skeletal variation in the South African population is adequately captured for all ages. For more information regarding the sample demographics and size please see Stull (2013). The raw data can be downloaded here.
Future intentions include the incorporation of additional populations so there are numerous reference samples. If there is data available that has measurements comparable to the descriptions in the Measurements section, please contact Kyra Stull, PhD to discuss incorporating the samples into the application.
Kyra E. Stull, PhD
Assistant Professor
Department of Anthropology
University of Nevada, Reno
kstull@unr.edu
homepage
The latest version of KidStats can be found on GitHub.
Bug reports can be submitted here.
Citing KidStats:
- Kyra Stull (2015). kidstats: Subadult age and sex estimations based on long bone measurements. R package version 0.1.1.9002. https://github.com/geanes/kidstats
geanes/kidstats documentation built on May 17, 2019, 12:15 a.m.
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Overview
KidStats permits the application of robust multivariate statistical analyses to produce subadult age and sex estimations with 95% prediction intervals and bootstrapped classification accuracies, respectively. Kidstats communicates with R (R Core Team, 2013) and primarily uses the earth (Milborrow, 2013) and mda (Leisch et al., 2011) packages to produce the statistical outputs. The earth package employs multivariate adaptive regression splines (MARS) for age at death estimation and the mda package employs flexible discriminant analysis (FDA) for sex estimation.
The only reference sample that is currently available for model creation is from South Africa (n = 1310). The subadults are between the ages of birth and 12 years and include individuals from the three largest South African social races. The even age distribution (minus a few smaller sample sizes at the two youngest age categories and the oldest age category) and large sample ensures the skeletal variation in the South African population is adequately captured for all ages. For more information regarding the sample demographics and size please see Stull (2013). The raw data can be downloaded here.
Future intentions include the incorporation of additional populations so there are numerous reference samples. If there is data available that has measurements comparable to the descriptions in the Measurements section, please contact Kyra Stull, PhD to discuss incorporating the samples into the application.
Kyra E. Stull, PhD Assistant Professor Department of Anthropology University of Nevada, Reno kstull@unr.edu homepage
The latest version of KidStats can be found on GitHub. Bug reports can be submitted here. Citing KidStats:
- Kyra Stull (2015). kidstats: Subadult age and sex estimations based on long bone measurements. R package version 0.1.1.9002. https://github.com/geanes/kidstats
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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