pCClik2: Evaluate unnormalized likelihood for auxiliary variable
In binspp: Bayesian Inference for Neyman-Scott Point Processes
pCClik2 R Documentation
Evaluate unnormalized likelihood for auxiliary variable
Description
Calculates the unnormalized likelihood for an auxiliary variable by evaluating pairwise interaction between points. The interaction thresholds are derived from the input theta vector.
Usage
pCClik2(thetaprop, CC)
Arguments
thetaprop
A vector of theta1 and theta2.
CC
A coordinate matrix of points.
Value
A list of the computed likelihood and a row vector of summed interaction between points.
binspp documentation built on June 8, 2025, 1:50 p.m.
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| pCClik2 | R Documentation |
Evaluate unnormalized likelihood for auxiliary variable
Description
Calculates the unnormalized likelihood for an auxiliary variable by evaluating pairwise interaction between points. The interaction thresholds are derived from the input theta vector.
Usage
pCClik2(thetaprop, CC)
Arguments
thetaprop |
A vector of theta1 and theta2. |
CC |
A coordinate matrix of points. |
Value
A list of the computed likelihood and a row vector of summed interaction between points.
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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