BM: Bateman-mukai estimators for MA data
In dwinter/dfe: Distributions of Fitness Effects from new mutations
Description
Usage
Arguments
Value
Examples
Description
Bateman-mukai estimators for MA data
Usage
1
BM(obs, Ve)
Arguments
obs,
a vector of ftiness values
Ve,
an estimate of within-line ('environmental') variance
Value
U numeric BM estimator of mutation rate
Ea numeric BM estimator of effect-size
Examples
1
2
3
4
low_var <- rma_normal(n=100, a=0.01, Va=1e-9, Ve=1e-4, Ut=10)
BM(low_var, 1e-4)
high_var <- rma_normal(n=100, a=0.01, Va=1e-3, Ve=1e-4, Ut=10)
BM(high_var, 1e-4)
dwinter/dfe documentation built on May 15, 2019, 6:21 p.m.
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Description Usage Arguments Value Examples
Description
Bateman-mukai estimators for MA data
Usage
1 | BM(obs, Ve)
|
Arguments
obs, |
a vector of ftiness values |
Ve, |
an estimate of within-line ('environmental') variance |
Value
U numeric BM estimator of mutation rate
Ea numeric BM estimator of effect-size
Examples
1 2 3 4 | low_var <- rma_normal(n=100, a=0.01, Va=1e-9, Ve=1e-4, Ut=10)
BM(low_var, 1e-4)
high_var <- rma_normal(n=100, a=0.01, Va=1e-3, Ve=1e-4, Ut=10)
BM(high_var, 1e-4)
|
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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