nEffNaive: Effective Sample Size
In csoneson/compcodeR: RNAseq data simulation, differential expression analysis and performance comparison of differential expression methods
View source: R/simulatePhyloPoissonLogNormal.R
nEffNaive R Documentation
Effective Sample Size
Description
Sample size so that the variance of the estimator is sigma^2 / nEff.
Usage
nEffNaive(tree, id.condition, model, selection.strength)
Arguments
tree
A phylogenetic tree. If NULL, samples are assumed to be iid.
id.condition
A named vector giving the state of each tip (sample).
model
The trait evolution model. One of "BM" or "OU".
selection.strength
If model="OU", the selection strength parameter.
Value
The effective sample size.
csoneson/compcodeR documentation built on Oct. 25, 2023, 1:28 a.m.
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View source: R/simulatePhyloPoissonLogNormal.R
| nEffNaive | R Documentation |
Effective Sample Size
Description
Sample size so that the variance of the estimator is sigma^2 / nEff.
Usage
nEffNaive(tree, id.condition, model, selection.strength)
Arguments
tree |
A phylogenetic tree. If |
id.condition |
A named vector giving the state of each tip (sample). |
model |
The trait evolution model. One of "BM" or "OU". |
selection.strength |
If |
Value
The effective sample size.
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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