Description Usage Arguments Value References See Also
Computes a non-parametric estimate of mu(t). For the purposes of performing prediction, the alternatives are: (1) use a parameteric model as in Diggle P, Rowlingson B, Su T (2005), or (2) a constantInTime model.
1 |
xyt |
an stppp object |
... |
additional arguments to be passed to lowess |
object of class temporalAtRisk giving the smoothed mut using the lowess function
Benjamin M. Taylor, Tilman M. Davies, Barry S. Rowlingson, Peter J. Diggle (2013). Journal of Statistical Software, 52(4), 1-40. URL http://www.jstatsoft.org/v52/i04/
Brix A, Diggle PJ (2001). Spatiotemporal Prediction for log-Gaussian Cox processes. Journal of the Royal Statistical Society, Series B, 63(4), 823-841.
Diggle P, Rowlingson B, Su T (2005). Point Process Methodology for On-line Spatio-temporal Disease Surveillance. Environmetrics, 16(5), 423-434.
temporalAtRisk, constantInTime, ginhomAverage, KinhomAverage, spatialparsEst, thetaEst, lambdaEst
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