dual_discrim_dual_likelihood: Calculate likelihood of two beta-sharing candidate alpha-beta...
In edwardslee/alphabetr: Algorithms for High-Throughput Sequencing of Antigen-Specific T Cells
Description
Usage
Arguments
Value
Description
dual_discrim_dual_likelihood() is used within dual_top
to calculate the likelihood that two alpha-beta pairs identified by
bagpipe sharing the same beta chain derive from a single
dual-alpha clone (instead of two distinct clones sharing the same beta).
Usage
1
dual_discrim_dual_likelihood(est, err, numb_cells, numb_wells, binomials)
Arguments
est
Frequency estimate of the putative dual-alpha clone
err
Mean drop error rate
numb_cells
Vector containing the number of cells per well
numb_wells
Vector containing the number of wells with the sample
sizes given by numb_cells
binomials
Calculations of the needed binomial coefficients; this is
faster in R than in Rcpp (from my own tests)
Value
A numeric containing the negative log likelihood
edwardslee/alphabetr documentation built on May 15, 2019, 11:03 p.m.
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Description Usage Arguments Value
Description
dual_discrim_dual_likelihood() is used within dual_top
to calculate the likelihood that two alpha-beta pairs identified by
bagpipe sharing the same beta chain derive from a single
dual-alpha clone (instead of two distinct clones sharing the same beta).
Usage
1 | dual_discrim_dual_likelihood(est, err, numb_cells, numb_wells, binomials)
|
Arguments
est |
Frequency estimate of the putative dual-alpha clone |
err |
Mean drop error rate |
numb_cells |
Vector containing the number of cells per well |
numb_wells |
Vector containing the number of wells with the sample
sizes given by |
binomials |
Calculations of the needed binomial coefficients; this is faster in R than in Rcpp (from my own tests) |
Value
A numeric containing the negative log likelihood
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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