# search for: gaussian

Displaying 20 results from an estimated 357 matches for "gaussian".

2015 Feb 13
1
Getting strange message in terminal
...;unix:abstract=/tmp/dbus-adjIuc8A5l,guid=d2289573889e3cae1ac3908354de3192" declare -x DESKTOP_SESSION="gnome-classic" declare -x DISPLAY=":0" declare -x FTP_PROXY="http://hproxy.iitm.ac.in:3128/" declare -x G09BASIS="/usr/local/gaussian/g09/basis" declare -x GAUSS_ARCHDIR="/usr/local/gaussian/g09/arch" declare -x GAUSS_BSDDIR="/usr/local/gaussian/g09/bsd" declare -x GAUSS_EXEDIR="/usr/local/gaussian/g09/bsd:/usr/local/gaus...
2005 May 10
4
density function
Hi, I wonder if the function "density" outputs the gaussian mixture formula that is estimated from the input data, assuming a gaussian model is used at each data point ? I want to take the derivative of the finally estimated gaussian mixture formula for further analysis. Thanks in advance for any help that you can offer me! Hui
2007 Mar 21
2
Hi all, Does anybody know any function that performs gaussian adapative quadrature integration of univariate functions? Thanks in advance, Regards, Caio __________________________________________________ [[alternative HTML version deleted]]
2005 Aug 26
2
Fitting data to gaussian distributions
Hi! I need to fit a data that shows up as two gaussians partially superimposed to the corresponding gaussian distributions, i.e. data=c(rnorm(100,5,2),rnorm(100,-6,1)) I figured it out how to do it with mle or fitdistr when only one gaussian is necessary, but not with two or more. Is there a function in R to do this? Thank you very much in advance,...
1999 Jun 08
1
inverse.gaussian, nbinom
Two questions: 1. inverse.gaussian is up there as one of the glm families, but do people ever use it? There is no inverse.gaussian in the R distribution family, and when I checked McCullagh & Nelder, it only appeared twice in the book (according to subject index), once in the table on p. 30 and once on p. 38 in a passing senten...
2011 Apr 08
1
Variance of random effects: survreg()
...an = 1, sd =2) mu <- rep(m, rep(10,10)) test1 <- data.frame(Time = qsurvreg(x, mean = mu, scale= 0.5, distribution = "weibull"), Status = rep(1, 100), Unit = gl(10,10) ) mod1 <- survreg(Surv(Time, Status) ~ 1 + frailty.gaussian(Unit), data = test1) > mod1 ... coef se(coef) se2 Chisq DF p (Intercept) 0.987 0.582 0.0457 2.87 1.00 9.0e-02 frailty.gaussian(Unit) 85.26 8.95 1.4e-14 Scale= 0.434 Iterations: 5 outer, 17 Newton-Raphson Variance of...
2006 Aug 25
4
fitting a gaussian to some x,y data
...'ve been Googling, searching the archive and reading the help all morning and I am not getting closer to my goal. I have a series of data( xi, yi). It is not evenly sampled and it is messy (meaning that there is a lot of scatter in the data). I want to fit a normal distribution (i.e. a gaussian) to the data in order to find the center. (The data has a loose "normal" look to it.) I have done this with polynomial fitting in R with nls but want to try it with a Gaussian (I am a student astronomer and have not a lot of experience in statistics). In looking at the fitdistr f...
2011 Feb 08
1
Simulation of Multivariate Fractional Gaussian Noise and Fractional Brownian Motion
Dear R Helpers, I have searched for any R package or code for simulating multivariate fractional Brownian motion (mFBM) or multivariate fractional Gaussian noise (mFGN) when a covariance matrix are given. Unfortunately, I could not find such a package or code. Can you suggest any solution for multivariate FBM and FGN simulation? Thank you for your help. Best Regards, Ryan ----- Wonsang You Leibniz Institute for Neurobiology -- View this message in...
2005 Oct 21
1
finite mixture model (2-component gaussian): plotting component gaussian components?
Dear Knowledgeable R Community Members, Please excuse my ignorance, I apologize in advance if this is an easy question, but I am a bit stumped and could use a little guidance. I have a finite mixture modeling problem -- for example, a 2-component gaussian mixture -- where the components have a large overlap, and I am trying to use the "mclust" package to solve this problem. I need to decompose that mixture into its 2 components which will need to be plotted. What I don't know how to do is: (1) restrict the number of components to...
2017 Dec 11
2
Gaussian Process Classification R packages
...ich produces prediction intervals for each sample. I would be grateful if anybody could inform me about it. Thank you. ________________________________ From: Bert Gunter <bgunter.4567 at gmail.com> Sent: 11 December 2017 15:50 To: Damjan Krstajic Cc: r-help at r-project.org Subject: Re: [R] Gaussian Process Classification R packages Google it! "R Gaussian process model binary classification." Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom C...
2011 Apr 03
3
kernel density plot
I am using the following commands for plotting kernel density for three kinds of crops density(s22\$Net_income_Total.1, bw="nrd0",adjust=1, kernel=c("gaussian"))->t plot(t, xlim=c(-30000,40000), main="Net Income Distribution", axes=F, ylim=c(0,0.00035). xlab="Value in Rupees") par(new=T) density(s33\$Net_income_Total.1, bw="nrd0",adjust=1, kernel=c("gaussian"))->u plot(u, xlim=c(-30000,40000), axes=F, mai...
2017 Dec 11
2
Gaussian Process Classification R packages
...ause with all of them you may create a GP classification model but it only produces a single prediction probability, and not a prediction interval of probabilities. Packages that I have tried may provide a prediction interval for regression but not for binary classification. You mention "The Gaussian Processes Web Site", have you checked how many R packages are listed there? I have been coding in R for more than a decade and contact r-help when I am struggling (I don't see anything wrong with this word) to find a solution in R. Replies like "Google it!" are below my level o...
2004 Oct 21
1
inverse gaussian distribution of frailty variable
Hello, I'm Emanuela, I'm implemented a survival analysis and I'm trying to use a frailty model with inverse gaussian distribution, but I'm not able to find the right code, because it seems to be only a gamma and a gaussian distribution. Is there also the inverse gaussian distribution? Thanks a lot Emanuela Rossi -------------------------------------------------------------------------
2011 Feb 07
1
tri-cube and gaussian weights in loess
>From what I understand, loess in R uses the standard tri-cube function. SAS/INSIGHT offers loess with Gaussian weights. Is there a function in R that does the same? Also, can anyone offer any references comparing properties between tri-cube and Gaussian weights in LOESS? Thanks. - Andr? -- View this message in context: http://r.789695.n4.nabble.com/tri-cube-and-gaussian-weights-in-loess-tp326...
2017 Dec 11
0
Gaussian Process Classification R packages
...capabilities of a package or failed to grasp an inobvious way to use the package to reach your goal. In any case, providing some background of why you think the obvious leads do not work in your case can be helpful. Doing that search myself I see links to R packages, R functions, and to "The Gaussian Processes Web Site" which has a table of possibly relevant softwares. It seems like there is a lot there to digest. HTH, Chuck > I did google it prior to sending my request, and I could not find any R package which provides GP classification model which produces prediction intervals for...
2017 Dec 11
2
Gaussian Process Classification R packages
Dear All, I am struggling to find an R package which contains a function for building a Gaussian Process model for binary classification which may produce prediction intervals for predicted probabilities. I would be grateful if somebody could point me to such package. Thank you very much in advance. DK [[alternative HTML version deleted]]
2006 May 11
1
Simulating scalar-valued stationary Gaussian processes
Hi, I have a sample of size 100 from a function in interval [0,1] which can be assumed to come from a scalar-valued stationary Gaussian process. There are about 500 observation points in the interval. I need an effective and fast way to simulate from the Gaussian process conditioned on the available data. I can of course estimate the mean and 500x500 covariance matrix from data. I have searched both the Rsite and Internet in gener...
2010 Apr 14
2
Gaussian Quadrature Numerical Integration In R
Hi All, I am trying to use A Gaussian quadrature over the interval (-infty,infty) with weighting function W(x)=exp(-(x-mu)^2/sigma) to estimate an integral. Is there a way to do it in R? Is there a function already implemented which uses such weighting function. I have been searching in the statmode package and I found the functio...
2017 Dec 11
0
Gaussian Process Classification R packages
...constructive about documenting your issue with a reproducible example and mentioning what you have tried and how it failed, you won't prompt such frustrated/unhelpful responses in the future. Did you find  or ?  https://stats.stackexchange.com/questions/177677/gaussian-process-prediction-interval  https://stats.stackexchange.com/questions/9131/obtaining-a-formula-for-prediction-limits-in-a-linear-model/9144#9144 -- Sent from my phone. Please excuse my brevity. On December 11, 2017 9:53:01 AM PST, Damjan Krstajic <dkrstajic at hotm...
2011 Dec 07
1
How to fit the log Gaussian Cox process model
Hi, As far as I know, there exist some programs via the function INLA, but I'm so curious if there is a specific function directly used to fit the log Gaussian Cox process model and predict the latent Gaussian field. That is, if I have a data points, then I input it in the function and don't need to revise the program. Thanks for your help. Joseph -- View this message in context: http://r.789695.n4.nabble.com/How-to-fit-the-log-Gaussia...