similar to: how to get loglik parameter from splm package?

Hello, I'm attempting to install the splm package from R-Forge. https://r-forge.r-project.org/R/?group_id=352 The page says, "In order to successfully install the packages provided on R-Forge, you have to switch to the most recent version of R..." It later says "To install this package directly within R type: install.packages("splm",

Dear R-project members, I'm a newbie in R and I'm trying to install the "splm" package to analyze spatial panel data. I have the R x64 2.12.0 beta version installed in my computer. When I try to install the package from within R typing ">install.packages("splm", repos="http://R-Forge.R-project.org")", I get the error message "Warning:

Dear all, Does anyone know if the PLM package (to run Panel Data Analysis) accepts quarterly data? The package vignette and documentation only use annual data -and the only time index available seems to work for years. José Mr José Luis Iparraguirre Senior Research Economist Economic Research Institute of Northern Ireland 2 -14 East Bridge Street Belfast BT1 3NQ Northern

I am working with the splm package. I use the spgm function: general estimation of a panel data model. Based on this approach, I know it is possible to compute a R2, eg the ratio of variation explained by a given model. My model is : bivmod<-spgm(logIKA~NBLITRE0+NBLITRE1,data=mydatap,listw=comsKnn.nbW,spatial.error=TRUE) I know that we can calculate the R^2 as the variance of the fitted

Hello to all on the list, I'm trying to estimate a fixed effects model from a large (unbalanced) panel data set. I have no problems when using only an individual effect or only a time effect, but I get an error message when I try for a "twoways" effect. Here is some of the code: paneldata27 is the entire panel data set: > dim(paneldata27) [1] 1178831 8 >

Dear List, the advent of multicore machines in the consumer segment makes me wonder whether it would, at least in principle, be possible to divide a computational task into more slave R processes running on the different cores of the same processor, more or less in the way package SNOW would do on a cluster. I am thinking of simple 'embarassingly parallel' problems, just like inverting

Dear List, I just installed R 2.6.1 (on Win2K) and I get a strange error in functions min() and max(): > min(1:3) Errore in .Internal(min(..., na.rm = na.rm)) : nessuna funzione interna "min" which, as you may have guessed, means 'no internal function "min" '. The same happens for max(). Maybe this is a bug in the new release, or maybe I'm missing

Hi all, I have estimated a random panel model using plm function. I have a question about the vector of resduals obtained with the object $residuals. example: data("Produc", package = "plm") zz <- plm(log(gsp) ~ log(pcap) + log(pc) + log(emp) + unemp, model="random", data = Produc, index = c("state","year")) res<-zz$residuals #

Good Morning Everyone, I was going through my list of FTBFS packages today and I fixed all my R packages but 2: qvalue and xtable. qvalue requires ggplot2 xtable requires: lsmeans, spdep, splm, sphet, plm I am not doing any R anymore these days and in fact spot has been the one maintaining most of my R packages these days (thanks spot!!), so I am not really interested in maintaining more R

Dear all, i just wonder if there´s a way to use a two column time index field in plm package. the manual says the following concerning data indexing: a character vector of length two containing the names of the individual and the time index, What would y´all do with a quarterly dataset that contains one column for the period and one for the year. Do I have to convert it to one single date

Dear r-helpers, I am working with plm package. I am trying to fit a fixed effects (or a 'within') model of the form y_it = a_i + b_i*t + e_it, i.e. a model with an individual-specific intercept and an individual- specific slope. Does plm support this directly? Thanks in advance! Otto Kassi

Dear R users, I have panel data on the amount of money spent by travellers from 8 origin countries in 4 destinations. I would like to carry out analysis for destinations, origins and time. However, it seems to me that the package "plm" can only esitmate two-way panel data (indexed by a two-dimensional array). Any suggestions would be greatly appreciated. Thank you. Best regards,

Hello, I am trying to create a panel with the attached data frame. using the following code: > PanelRio = DataRiopaila[which(duplicated(DataRiopaila$SEC_STE)==T),] > PanelRio=plm.data(PanelRio,index=c("SEC_STE","FechaSiembra")) series Pluv3Meses,PluvMes4al10,Pluv2UltimosMeses,Rad3Meses,RadMes4al10,Rad2UltimosMeses are NA and have been removed It tells me it removes

Dear Sir/ Madam, I am writing about the panel data for my bachelor degree. I would really appreciate if You could help dealing with R functions. I am trying to estimate the panel data lm model with plm function. When i include 3dummy variables into the regression it dont appear in the sumarry of the model, but when i estimate a simple lm model it appears. Why is it so? What should i do to

Hi, I have a new workstation and am in the process of moving all my work onto it. I have also installed R 2.10.0 on the new machine. I remember changing my R settings of my old machine (R 2.9.1) to connect to the internet, but I can't remember exactly how. I have tried Sys.getenv(), but it does not give me the proxy settings I would need to finish the setup of my new machine. Does anyone

 Hi R users:  I am using the plm package for linear panel data analysis but encountered the following message when I try plm function to estimate an random model with individual effect.  data.re.ind <- plm(X.RETURN. ~ IOB + IOBS,data=E,model="random",effect = "individual")  Error in swar(object, data, effect) :  the estimated variance of the individual effect is negative

Hi all, I a semi-beginner with R and I am working with the plm package to examine a longitudinal dataset. Each individual in this dataset has a longitudinal weight for the probability that he or she remains in the sample. Unfortunately, I have not found an argument to use weights in the plm function? I tried ?weights=? like in standard lm or in nlme or lm4 but it does not work. I asked the

Hi! I am quite a new user of R. I wanted to ask if there was some package for dynamic panel analysis (with Arneallo-Bond Method) like stata. PLM is for panel analysis but not for dynamic. Best regards, Tanveer

I am working with panel data. I am using the plm package to do this. I would like to do be able to adjust for autocorrelation, as one does with glm models and correlation structures (eg corr=corARMA(q=4)) . In particular, I want to employ MA(4) error structure. Is there a way of doing this with the plm package? (Note: I do not really want to use the pggls function for various

Dear all I am working on unbalanced panel data and I can readily fit a "pooling" model using plm(), but not a "within" or "random" model. Reproducing the examples in vignette("plm") and in the AER package I encountered no such issues. ##unfortunately I cannot disclose the data, and it is too big anyway > dim(ibes.kld.exp.p[x.subs , ]) [1] 13189 34