test_kimura: Monte Carlo Kolmogorov-Smirnov test for genetic drift
In lbozhilova/kimura: Fitting Kimura Distirbutions to Heteroplasmy Data
test_kimura R Documentation
Monte Carlo Kolmogorov-Smirnov test for genetic drift
Description
Given heteroplasmy fractions h, test whether their distribution is
consistent with random genetic drift.
Usage
test_kimura(h, num_MC = 1000, round = TRUE)
Arguments
h
numeric vector in [0; 1] of heteroplasmy fractions.
num_MC
number of Monte Carlo simulations.
round
logical, indicates whether heteroplasmy fractions are rounded to
two significant digits.
Value
object of class htest
Examples
h <- seq(0.2, 0.5, 0.01)
test_kimura(h)
lbozhilova/kimura documentation built on May 7, 2023, 12:07 p.m.
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| test_kimura | R Documentation |
Monte Carlo Kolmogorov-Smirnov test for genetic drift
Description
Given heteroplasmy fractions h, test whether their distribution is
consistent with random genetic drift.
Usage
test_kimura(h, num_MC = 1000, round = TRUE)
Arguments
h |
numeric vector in |
num_MC |
number of Monte Carlo simulations. |
round |
logical, indicates whether heteroplasmy fractions are rounded to two significant digits. |
Value
object of class htest
Examples
h <- seq(0.2, 0.5, 0.01)
test_kimura(h)
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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