Description Usage Arguments Value
Evaluates the score functions (gradients of the log-likelihood) for a Poisson distribution with log-linear model for the mean.
1 |
data |
matrix of observations, with rows equal to the number of observations and columns equal to the number of categories |
params |
vector of model parameters, consisting of \boldsymbol{α}, \boldsymbol{β}, \boldsymbol{γ}. |
event |
vector of labels with one entry per row of data, where each entry identifies the event to which the corresponding row belongs |
specific |
vector of logical values, one entry per column of data, with each entry indicating whether the corresponding column of the data is a human-specific bacterium |
The score functions, evaluated at the current parameter values.
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