Description Details Slots Author(s)
Data stroge for log negative binomial probability
This class is a storage for precomputated log negative binomial probability. This also has the index conversion matrix and vector for parameter p and count.
values
Numeric Matrix, This storage log negative binomial probability. Each column and row represent each grid of count and p.
lprior.values
Numeric vector, log prior probability values for each gridpoints
count.dict
This is a sparse vector each elements have the row index of value
cressponding the count represented by index of this vector
p.dict
This is a dense matrix. Each element has a column index of value
after correction against mean.bias.vec
. Each row represents index of p before correction. Each column represents observation index.
p.width.vec
grid width of p
Yasuhiro Kojima
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