Hello All , Dose anyone know , how can i do Inverse Modelling, Sensitivity and Monte Carlo Analysis in R ? I am waiting for your reaction. kind regards, Ali -------------- next part -------------- An HTML attachment was scrubbed... URL: <https://stat.ethz.ch/pipermail/r-sig-dynamic-models/attachments/20120411/3a0be8db/attachment-0001.html> -------------- next part -------------- A non-text attachment was scrubbed... Name: 4.docx Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document Size: 84577 bytes Desc: not available URL: <https://stat.ethz.ch/pipermail/r-sig-dynamic-models/attachments/20120411/3a0be8db/attachment-0001.bin>
[R-sig-dyn-mod] Inverse Modelling
2 messages · ali hydro, Thomas Petzoldt
On 11.04.2012 14:42, ali hydro wrote:
Hello All , Dose anyone know , how can i do Inverse Modelling, Sensitivity and Monte Carlo Analysis in R ? I am waiting for your reaction. kind regards, Ali
Dear Ali, you asked this question already last summer and we told you how to start. However, your new question is completely unspecific, so it is unlikely that someone can do more than pointing you to some relevant books and papers. You probably know: Soetaert, K and Petzoldt, T (2010) "Inverse Modelling, Sensitivity and Monte Carlo Analysis in R Using Package FME", Journal of Statistical Software 33(3). which cites (among others): Brun R, Reichert P, Kunsch HR (2001). Practical Identi fiability Analysis of Large Environmental Simulation Models. Water Resources Research, 37(4), 1015-1030. Related to water resources modeling with R there is now a recent publication about: Yiping Wu, Shuguang Liu (2012) Automating calibration, sensitivity and uncertainty analysis of complex models using the R package Flexible Modeling Environment (FME): SWAT as an example. Environmental Modelling & Software Volume 31, May 2012, Pages 99?109. ... and there are of course many more. Thomas