distER: Simulating many sequential testing with evidence ratios and...
In ESTER: Efficient Sequential Testing with Evidence Ratios
Description
Usage
Arguments
Author(s)
See Also
Examples
Description
Simulating many sequential evidence ratios using simER, keeps the last
of each simulation, and plotting their distribution.
Usage
1
Arguments
cohensd
Expected effect size
nmin
Minimum sample size from which start computing ERs
nmax
Maximum sample size at which stop computing ERs
nsims
Number of experiments to simulate.
ic
Indicates whether to use the aic or the bic
Author(s)
Ladislas Nalborczyk <ladislas.nalborczyk@gmail.com>
See Also
Examples
1
## Not run: distER(cohensd = 0.6, nmin = 20, nmax = 100, nsims = 100, ic = bic)
ESTER documentation built on May 2, 2019, 12:13 p.m.
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Description Usage Arguments Author(s) See Also Examples
Description
Simulating many sequential evidence ratios using simER, keeps the last
of each simulation, and plotting their distribution.
Usage
1 |
Arguments
cohensd |
Expected effect size |
nmin |
Minimum sample size from which start computing ERs |
nmax |
Maximum sample size at which stop computing ERs |
nsims |
Number of experiments to simulate. |
ic |
Indicates whether to use the aic or the bic |
Author(s)
Ladislas Nalborczyk <ladislas.nalborczyk@gmail.com>
See Also
Examples
1 | ## Not run: distER(cohensd = 0.6, nmin = 20, nmax = 100, nsims = 100, ic = bic)
|
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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