Title: Functions to calculate relatedness on diploid genetic data
Author: Philipp Kraemer and Gabriele Gerlach
Depends: R (>= 2.15.0), fts, mlogit, sfsmisc
Description: Functions to calculate pairwise relatedness on diploid
genetic datasets. Different estimators for relatedness can be
combined with information on geographical distances.
Information on heterozygosity, allele- and genotype diversity
as well as genetic F-statistics are provided for each

Description: Functions to calculate pairwise relatedness on diploid genetic datasets. Different estimators for relatedness can be combined with information on geographical distances. Information on heterozygosity, allele- and genotype diversity as well as genetic F-statistics are provided for each population.

Title: Functions to Calculate Relatedness on Diploid Genetic Data
Imports: grDevices, graphics, stats, utils, methods, fts, sfsmisc,

Imports: grDevices, graphics, stats, utils, methods
Depends: R (>= 2.15.0), fts, sfsmisc, vegan, mlogit

Description: Two general demographic decomposition methods are offered: Pseudo-continuous decomposition proposed by Horiuchi, Wilmoth, and Pletcher (2008) <doi:10.1353/dem.0.0033> and stepwise replacement decomposition proposed by Andreev, Shkolnikov and Begun (2002) <doi:10.4054/DemRes.2002.7.14>.

Title: Extrapolate Gender, Age and Nationality of a Name
Description: Connects to the <https://genderize.io/>, <https://agify.io/> and <https://nationalize.io/> APIs to estimate gender, age and nationality of a first name.
Suggests: covr, testthat, knitr, rmarkdown, dplyr
Packaged: 2020-04-24 09:22:09 UTC; Brenninkmeijer
Author: Matthias Brenninkmeijer [aut, cre]

Packaged: 2020-05-05 22:43:17 UTC; Brenninkmeijer

Description: Functions for creating demographic table with simple
summary statistics, with optional comparison(s) over one or
more groups.  Numeric variables are summarized in means,
standard deviations, medians, inter-quartile-ranges (IQR),
skewness, Shapiro-Wilk normality test and ranges, and
compared using two-sample t-test, Wilcoxon test, ANOVA
and/or Kruskal-Wallis test.  Logical and factor variables
are summarized in counts and percentages and compared using
chi-squared test and/or Fisher's exact test.
Authors@R: c(person(given = 'Tingting', family = 'Zhan', role =