similar to: Seemingly unrelated model with spatial processes

Hi Everyone, I am doing a project based on "Spatially Lagged Predictor Variable Models", I would like to know which package in R would execute this model. Also, I am new to this field of spatial statistics. Any suggestions for a good book on spatial regression analysis would be appreciated. Thanks Again. Cheers Arun -- View this message in context:

Hi everyone, I am looking for a package in R which can help me in using the imputation technique to find the missing values for my regression analysis. Any help would be appreciated. Cheers Arun -- View this message in context: http://www.nabble.com/Imputation-Packages-tp15790749p15790749.html Sent from the R help mailing list archive at Nabble.com.

Dear all, I am trying to estimate a system of equations with a Seemingly Unrelated Regression. However because of the characteristics of the data I'd like to do it with a negative binomial estimation. Would anybody know how to implement a Seemingly Unrelated Negative Binomial (SUNB) estimation in R? Thank you in advance for your help. Best regards, Elisa Lanzi -- Elisa Lanzi PhD student in

Hello, I am working on the model of seemingly unrelated regression. I came across with the error message: Log determinant of residual covariance: NA Warning messages: NAs generated in: log(x) I have three linear models which contain 21 explanatory variables and there are about 300 data points. Could anyone please give some idea what is wrong with the model? -- View this message in context:

Hello to everyone, I found some problems using R in the estimation of systems of nonlinear equations like SURE (Seemingly Unrelated Regression Equations) with mutual parameters as the following system example: EQ1 PQ1=P1*G1+B1*(Y-P1*G1-P2*G2-P3*G3) EQ2 PQ2=P2*G2+B2*(Y-P1*G1-P2*G2-P3*G3) where G1,G2,G3,B1,B2 are the coefficients to estimate. command "nls" accept only single

I am having problem using output of lm() function for further analysing using systemfit package. Basicaly, the problem s following - I generate several formulas using lm() > fo1 <- lm(r98[,2] ~ f98[,1] + f98[,2] + ... + f98[,43]) > fo2 <- lm(r98[,1] ~ f98[,1] + f98[,2] + ... + f98[,43]) and than I want to estimate a general model using package systemfit. > fitsur <-

Hello all, Would anybody tell me how to present spatial-temoral point processes in R, for example, I'd like to plot the spatial points in the sequence of their time domain? Cheers -- Pingping Zheng Department of Mathematics and Statistics Fylde College Lancaster University Lancaster LA1 4YF UK

Hi all, I am using "spatstat" to investigate the spatial structure of some plant populations, but I have no idea about detecting the spatial point pattern with Thomas process based on pcf. Additionally, generating simulation envelope using this null model is another problem for me. I am not very familiar with R, so I hope anyone have any experience with this work can give me any

Dear all, I am new here ,I attempted to use R to estimate the spatial Durbin (mixed) model,and mydata is a panel data form,and the matrix is generated by geoda software ,here is my Command and error,really hope your help ,thank you! #??gal library(spdep) w<- read.gal("E:/splm/zj.GAL",override.id=TRUE) ww<-nb2listw(w,zero.policy=TRUE) #???? library(foreign)

Hi all, I've been working with a friend's model that is a spatial model consisting of 4 patches. She uses the code found below to add migration between the patches for the three species of concern. When I run a script incorporating this code, all four patches run independently without migration occuring. When I type m1[1,2] into the workspace to see if it will return a figure, it returns,

I have this problem with loading RPyGeo package when using update.views. How can I fix this. I have tried to use other CRAN mirrors with the same result. Below is a copy of my session. ---------------------session----------------------- R version 2.12.1 (2010-12-16) Copyright (C) 2010 The R Foundation for Statistical Computing ISBN 3-900051-07-0 Platform: i486-pc-linux-gnu (32-bit) R is free

We are pleased to announce the following book: Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA Authors: Zuur, Ieno, Saveliev Book website: www.highstat.com Paperback or EBook can be order (exclusively) from www.highstat.com TOC: http://highstat.com/Books/BGS/SpatialTemp/Zuuretal2017_TOCOnline.pdf Summary: We explain how to apply linear regression models,

Hi, I am stuck in a looping problem. It might be an easy problem for experienced R users but I have been unable to do it. Any kind of help or advice will be great appreciated. I am creating a spatial grid and have a list of spatial points in a folder. I can read the spatial points separately and get a count of the points in the spatial grid in R. The output should be a table showing the counts of

Dear R users, I am putting together reading and resources lists for spatial statistics and spatial econometrics and am looking for some pointers from more experienced practitioners. In particular, I find two "camps" in spatial modelling, and am wondering which approach is better suitied to which situation. The first camp is along the lines of Venables and Ripley's Chapter 14

Hi all, before I roll my own, naive implementation of a particular spatial point process, I thought I'd ask whether this has already been done. Specifically, I am looking for essentially the opposite of the Strauss and Mate'rn processes included in library(spatial) and documented in MASS. I am examining daily travel patterns, focusing on just the destinations of trips, not the

We're happy to announce the CRAN release of "sp", an R package which has new-style classes and methods for spatial data, version 0.7-9. Spatial data types that sp implements are: points, grids, lines, and polygons (i.e., rings) optionally with holes. Methods include + the usual print, summary, plot, [, [[, $, ... + coercion between types (e.g. points and grids, matrices,

We're happy to announce the CRAN release of "sp", an R package which has new-style classes and methods for spatial data, version 0.7-9. Spatial data types that sp implements are: points, grids, lines, and polygons (i.e., rings) optionally with holes. Methods include + the usual print, summary, plot, [, [[, $, ... + coercion between types (e.g. points and grids, matrices,

Hi, Is there any package or functions in R that can perform tests and estimation for a spatial econometric model in a simultaneous system? Thank you!!! Xia Feng

I am having difficulty getting the trend.spatial function in geoR to work properly. After creating a trend.spatial object with a covariate, I try to add the command into my likfit() function as follows: trend1.trend.spatial <- trend.spatial("1st", trend1.geodata) trend1.spatial.EC0.1.reml <- likfit(spatial.geodata, trend1.trend.spatial, ini.cov.pars = spatial.EC0.1.eyefit,

Much like time, spatial locations are not likely to change for observed data. Still, R has no infrastructure or knowledge about spatial locations. Many packages that deal with spatial data in R use their own classes to deal with spatial data. On the workshop on spatial statistics software held during DSC2003 (organized by Roger Bivand), we decided that a base class that defines classes for