lgcp.correction: Calculate Overdispersion factor for IPP fit via Monte Carlo...
In DSpat: Spatial Modelling for Distance Sampling Data
Description
Usage
Arguments
Value
Author(s)
See Also
Description
Calculate Overdispersion factor for IPP fit via Monte Carlo Integration
Usage
1
lgcp.correction(fit.ppm, fit.lgcp, reps = 100, J.inv, silent = FALSE, lines.psp)
Arguments
fit.ppm
fitted model from ppm of spatstat
fit.lgcp
fitted model from lgcp.estK
reps
number of replicates for approximation
J.inv
variance-covariance matrix from fitted ppm model
silent
if FALSE, shows counter for replicates
lines.psp
line segment process
Value
J.inv.corr
Adjusted var-cov matrix
u
score matrix
Author(s)
Devin Johnson
See Also
DSpat documentation built on May 2, 2019, 11:10 a.m.
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Description Usage Arguments Value Author(s) See Also
Description
Calculate Overdispersion factor for IPP fit via Monte Carlo Integration
Usage
1 | lgcp.correction(fit.ppm, fit.lgcp, reps = 100, J.inv, silent = FALSE, lines.psp)
|
Arguments
fit.ppm |
fitted model from ppm of spatstat |
fit.lgcp |
fitted model from lgcp.estK |
reps |
number of replicates for approximation |
J.inv |
variance-covariance matrix from fitted ppm model |
silent |
if FALSE, shows counter for replicates |
lines.psp |
line segment process |
Value
J.inv.corr |
Adjusted var-cov matrix |
u |
score matrix |
Author(s)
Devin Johnson
See Also
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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