calculatePdict: calculatePvec
In kojikoji/nbcf: Change point detection for time course multi negative binomial observation
Description
Usage
Arguments
Details
Value
Author(s)
Description
Calculate p dictionary from each observation grid to grids corrected for mean.bias.vec
Usage
1
calculatePdict(p.vec, mean.bias.vec)
Arguments
p.res
Integer, Approximation resolution of p
Details
We have to calculate negative binomial probability to p corrected for mean.bias.vec Hence, we need to use conversion before after correction.
Value
p.dict Numeric matrix, conversion index form each grid point in each observation to reference grid points. each row represents grid point. each column represents each observation.
Author(s)
Yasuhiro Kojima
kojikoji/nbcf documentation built on June 16, 2019, 6:08 p.m.
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Description Usage Arguments Details Value Author(s)
Description
Calculate p dictionary from each observation grid to grids corrected for mean.bias.vec
Usage
1 | calculatePdict(p.vec, mean.bias.vec)
|
Arguments
p.res |
Integer, Approximation resolution of p |
Details
We have to calculate negative binomial probability to p corrected for mean.bias.vec Hence, we need to use conversion before after correction.
Value
p.dict Numeric matrix, conversion index form each grid point in each observation to reference grid points. each row represents grid point. each column represents each observation.
Author(s)
Yasuhiro Kojima
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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