similar to: fixed effects Tobit, Honore style?

R-Experts: Does anyone know if there are R functions to perform the Freeman-Tukey double arcsine transformation and then backtransform it? Thanks, Brant Inman Mayo Clinic

Dear R-help community, Does anybody know of a stats function in R that tells you which distribution best fits your data? I have tried look through the archives but have only found functions that tell you if it's normal or log etc. specifically - I am looking for a function that tells you (given a timeseries) what the distribution is. Any help/advice will be greatly appreciated, All the

Dear list users, I need to learn about MCMC methods, and since there are several packages in R that deal with this subject, I want to use them. I want to buy a book (or more than one, if necessary) that satisfies the following requirements: - it teaches well MCMC methods; - it is easy to implement numerically the ideas of the book, and notation and concepts are similar to the corresponding R

Hi all, I have a file of average SWE observations for 40 years at over 4,000 points and am attempting to do a spatiotemporal analysis of the data using PCA, much like this paper did using snow depth: http://journals.ametsoc.org/doi/pdf/10.1175/1520-0442%281998%29011%3C0856%3ATCIRWS%3E2.0.CO%3B2 I have followed the code in the link below by my loadings are far too small (For example, the paper

Hello, Ive had a poke around through various linux routing documents, but haven''t found what I think is an elegant solution to a routing issue I''m having with a hosting provider and RHEL ES 4 running in a VMware VM. Here''s a diagram of the situation : Default route at provider our host (A) 72.3.230.1/26 ---- 72.3.230.30/26 the VM (B)

Hi list, i'm have samba installed at debian squeeze 2.6.32-5-686 :~# dpkg -l | grep samba ii samba 2:3.5.6~dfsg-3squeeze2 SMB/CIFS file, print, and login server for Unix ii samba-common 2:3.5.6~dfsg-3squeeze2 common files used by both the Samba server and client ii samba-common-bin 2:3.5.6~dfsg-3squeeze2

Dear WizaRds, This is mostly a statistics question, but I'm figuring that R is the right solution (even before I start!) I have some bio data of heart rate versus time (rats taken from resting to maximal heart rate). I want to regress heart rate on time. The data have been normalized such that resting heart rate is zero at time=0, so that all curves intersect at the origin (and at the origin

(Moved to R-devel) Niek, Would you please provide the details on this test case, including your benchmarks, and what you are trying to achieve at the high-level? Thanks, Michael On Wed, Jun 17, 2015 at 4:55 AM, Niek Bouman <niek.bouman at keygene.com> wrote: > Dear R-core team, > > I was wondering whether you have any plans to improve the current implementation of reference

Hello, I am working on a Tobit Model for a consumer good, left censored with zero. Relation: Sales of product depend on price, promotion (dummy), Season(dummy) and store (dummy) Used standard Tobitmodel with package(AER) vor a 48 week period: tobitmodel<-tobit(SALE~Price+Promotion+Season+Store,data= datatobit) Now I want to predict the values for week 49-52. Used predict device:

hi. i'm hitting a wall each time i try to format a 3 terabyte partition. i'm able to create the partition using parted but whenever i try to create a 3 terabyte xfs or jfs or ext3 filesystem, the mounted filesystem created is only 1 terabyte. i tried centos x86 and x86_64 4.0 but i always hit a 1 terabyte limit. please help.

Hello! I'm thinking of applying a censored regression model to cross-sectional data, using either the tobit (package survival) or the censReg function (package censReg). The dependent variable is left and right-censored. My hopefully not too silly question is this: I understand that heteroskedasticity and nonnormal errors are even more serious problems in a censored regression than in an

Dear R experts, I am currently working on a rather simple tobit regression, where the dependet variable is left-censored (>0). I would like to apply a Tobit regression and then use the parameters of this regression to make a prediction with new data. The intention behind this is to do an extrapolation. by using the VGAM or AER package, I already succeeded in getting fitted values. However

Having read previous correspondance on this topic, am I right in using a gaussian distribution for a tobit model, one article suggests a normal distribution? Also, I want to censure at the upper bound, so, using the survival5 package I use: survreg(Surv(y,y<c,type="right")~x) for a censored regression. Could anybody who's had experience of this, confirm whether I'm in the

Dear All: I need some guidance in calculating a goodness-of-fit statistic for a Tobit Regression model. To develop the Tobit regression, I used the tobit() method from the AER package, which is basically a simpler interface to the survreg() method. I've read about pseudo R2 and C-index and was wondering if there is a package that calculates this for me. Also, is there a reason to select

What is command for tobit Heteroscedasticity? FErnando Freitas [[alternative HTML version deleted]]

Hi, I am trying to model a score over time. This score shows a ceiling effect. I was willing to use a longitudinal tobit model, such as the one described by Twisk et al. (Twisk_Longitudinal tobit regression: A new approach to analyze outcome variables with floor or ceiling effects_JCE_2009) but it is programmed for STATA. Has anyone used such models in R? Any other idea? David Biau.

Dear R users: I am using survreg for modeling left censored longitudinal data. When I am using the following code for fitting the tobit model I am getting some output with an warning message(highlighted with red color): > survreg(Surv(y, y>=0, type='left')~x + frailty(id), cytokine.data, weight=w, dist='gaussian', scale=1) Call: survreg(formula = Surv(y, y >= 0, type

Hi, what is the best way to estimate a tobit(truncated) regression model in R ? Is there already a packet available ? Gruss Ralph Leonhardt -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body",

I have an unbalanced panel of daily, county data that is naturally bounded at zero so my intention is to use a tobit. I'm using tobit from the AER package. There is cyclicality in the data for each pattern that I would like to control for before I add my variables of interest. I run the regression: derp <- tobit(x ~ factor(Month)*factor(County), data = data0, left = 0, right = Inf) If I

Hi all, Quick question - Which, if any, of the R packages contains procedures for running Tobit analysis? Regards, Matt --------------------------------- [[alternative HTML version deleted]]