DemoKin

DemoKin uses matrix demographic methods to compute expected (average) kin counts from demographic rates under a range of scenarios and assumptions. The package is an R-language implementation of Caswell (2019, 2020, 2022), and Caswell and Song (2021). It draws on previous theoretical development by Goodman, Keyfitz and Pullum (1974).

Installation

Download the stable version from CRAN:

install.packages("DemoKin")

Or you can install the development version from GitHub:

# install.packages("devtools")
devtools::install_github("IvanWilli/DemoKin")

Usage

Consider an average Swedish woman called ‘Focal.’ For this exercise, we assume a female closed population in which everyone experiences the Swedish 2015 mortality and fertility rates at each age throughout their life; i.e., the ‘time-invariant’ assumption in Caswell (2019).

We then ask:

What is the expected number of relatives of Focal over her life course?

Let’s explore this using the Swedish data already included with DemoKin.

library(DemoKin)
swe_surv_2015 <- swe_px[,"2015"]
swe_asfr_2015 <- swe_asfr[,"2015"]
swe_2015 <- kin(p = swe_surv_2015, f = swe_asfr_2015, time_invariant = TRUE)

p is the survival probability by age from a life table and f are the age specific fertility ratios by age (see ?kin for details).

Now, we can visualize the implied kin counts (i.e., the average number of living kin) of Focal at age 35 using a network or ‘Keyfitz’ kinship diagram with the function plot_diagram:

# We need to reformat the data a little bit
kin_total <- swe_2015$kin_summary
# Keep only data for Focal's age 35
kin_total <- kin_total[kin_total$age_focal == 35 , c("kin", "count_living")]
names(kin_total) <- c("kin", "count")
plot_diagram(kin_total, rounding = 2)

Relatives are identified by a unique code:

DemoKin	Labels_female	Labels_male	Labels_2sex
coa	Cousins from older aunts	Cousins from older uncles	Cousins from older aunts/uncles
cya	Cousins from younger aunts	Cousins from younger uncles	Cousins from younger aunts/uncles
c	Cousins	Cousins	Cousins
d	Daughters	Brothers	Siblings
gd	Grand-daughters	Grand-sons	Grand-childrens
ggd	Great-grand-daughters	Great-grand-sons	Great-grand-childrens
ggm	Great-grandmothers	Great-grandfathers	Great-grandfparents
gm	Grandmothers	Grandfathers	Grandparents
m	Mother	Father	Parents
nos	Nieces from older sisters	Nephews from older brothers	Niblings from older siblings
nys	Nieces from younger sisters	Nephews from younger brothers	Niblings from younger siblings
n	Nieces	Nephews	Niblings
oa	Aunts older than mother	Uncles older than fathers	Aunts/Uncles older than parents
ya	Aunts younger than mother	Uncles younger than father	Aunts/Uncles younger than parents
a	Aunts	Uncles	Aunts/Uncles
os	Older sisters	Older brothers	Older siblings
ys	Younger sisters	Younger brothers	Younger siblings
s	Sisters	Brothers	Siblings

Vignette

For more details, including an extension to time-variant rates, deceased kin, and multi-state models in a one-sex framework, see the Reference_OneSex vignette; also accessible from DemoKin: vignette("Reference_OneSex", package = "DemoKin"). For two-sex models, see the Reference_TwoSex vignette; also accessible from DemoKin: vignette("Reference_TwoSex", package = "DemoKin"). If the vignette does not load, you may need to install the package as devtools::install_github("IvanWilli/DemoKin", build_vignettes = T).

Citation

Williams, Iván; Alburez-Gutierrez, Diego; and the DemoKin team. (2021) DemoKin: An R package to implement demographic matrix kinship models. URL: https://github.com/IvanWilli/DemoKin.

Acknowledgments

We thank Silvia Leek from the Max Planck Institute for Demographic Research for designing the DemoKin logo. The logo includes elements that have been taken or adapted from this file, originally by Ansunando, CC BY-SA 4.0 via Wikimedia Commons. Sha Jiang provided useful comments for improving the package.

Get involved!

DemoKin is under constant development. If you’re interested in contributing, please get in touch, create an issue, or submit a pull request. We look forward to hearing from you!

References

Caswell, Hal. 2019. “The Formal Demography of Kinship: A Matrix Formulation.” Demographic Research 41 (September): 679–712. https://doi.org/10.4054/DemRes.2019.41.24.

———. 2020. “The Formal Demography of Kinship II: Multistate Models, Parity, and Sibship.” Demographic Research 42 (June): 1097–1146. https://doi.org/10.4054/DemRes.2020.42.38.

———. 2022. “The Formal Demography of Kinship IV: Two-Sex Models and Their Approximations.” Demographic Research 47 (September): 359–96. https://doi.org/10.4054/DemRes.2022.47.13.

Caswell, Hal, and Xi Song. 2021. “The Formal Demography of Kinship III: Kinship Dynamics with Time-Varying Demographic Rates.” Demographic Research 45 (August): 517–46. https://doi.org/10.4054/DemRes.2021.45.16.

Goodman, Leo A, Nathan Keyfitz, and Thomas W. Pullum. 1974. “Family Formation and the Frequency of Various Kinship Relationships.” Theoretical Population Biology, 27. https://doi.org/10.1016/0040-5809(74)90049-5.