Description Usage Arguments Value Examples
get optimized mu ########
1 2 | getmu_post_optimize(y, offset, mu1, mu2, phi, sigma, span, cores,
zero_p = 0)
|
y |
The input data |
offset |
offset of input data |
mu1 |
mu_hat |
mu2 |
mu_hat_glm |
phi |
dispersion parameter when negative binomial model is used. Otherwise, it will be 0. |
sigma |
dispersion |
span |
The extention |
cores |
number of thread |
zero_p |
probability of zero portion if zero-inflated model is used. Otherwise, it will be 0 |
A vector mutation count for 96 trinucleotide context
1 2 3 4 | ## Not run:
getmu_post_optimize(mut, gid)
## End(Not run)
|
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