Displaying 20 results from an estimated 200 matches similar to: "Fitting Mixed Distributions in the fitdistrplus package"
2020 Oct 21
1
Fitting Mixed Distributions in the fitdistrplus package
Dear Sirs,
The below listed code fits a gamma and a pareto distribution to a data set
danishuni. However the distributions are not appropriate to fit both tails
of the data set hence a mixed distribution is required which has ben
defined as "mixgampar"
as shown below.
library(fitdistrplus)
x<- danishuni$Loss
fgam<- fitdist(x,"gamma",lower=0)
fpar<-
2017 Feb 03
0
Announcing fitdistrplus 1.0-8
Dear useRs,
We are pleased to announce you a new version of "fitdistrplus" on CRAN :
https://cran.r-project.org/web/packages/fitdistrplus/index.html
"fitdistrplus" is a package dedicated to help the fit of a parametric
distribution to non-censored or censored data.
The main new features in this release are few new topics in the FAQ
vignette
2017 Feb 03
0
Announcing fitdistrplus 1.0-8
Dear useRs,
We are pleased to announce you a new version of "fitdistrplus" on CRAN :
https://cran.r-project.org/web/packages/fitdistrplus/index.html
"fitdistrplus" is a package dedicated to help the fit of a parametric
distribution to non-censored or censored data.
The main new features in this release are few new topics in the FAQ
vignette
2016 Jul 07
0
new version of the package fitdistrplus
We are pleased to announce your a new version of fitdistrplus (
https://cran.r-project.org/package=fitdistrplus). Among the new features of
the package (https://cran.r-project.org/web/packages/fitdistrplus/NEWS), a
FAQ vignette is now available (
https://cran.r-project.org/web/packages/fitdistrplus/vignettes/FAQ.html).
We will be delighted to update it with new questions sent by users. Do not
2016 Jul 07
0
new version of the package fitdistrplus
We are pleased to announce your a new version of fitdistrplus (
https://cran.r-project.org/package=fitdistrplus). Among the new features of
the package (https://cran.r-project.org/web/packages/fitdistrplus/NEWS), a
FAQ vignette is now available (
https://cran.r-project.org/web/packages/fitdistrplus/vignettes/FAQ.html).
We will be delighted to update it with new questions sent by users. Do not
2011 May 20
1
outout clarification of fitdist {fitdistrplus} output
Hello,
I like to fit data against a negative binominal distribution
x2<-c(rep(10,14),rep(9,8),rep(8,13),rep(7,11),rep(6,6),rep(5,18),rep(4,7),re
p(3,21),rep(2,33),rep(1,55),rep(0,225))
f2<-fitdist(x2,"nbinom",method="mle")
plot(f2)
summary(f2)
gofstat(f2)
I receive the following result:
Fitting of the distribution ' nbinom ' by maximum
2016 Aug 26
2
[PATCH 9/9] Optimize silk_inner_prod_aligned_scale() for ARM NEON
Created corresponding unit test, and the optimization is bit exact with C
function.
---
silk/SigProc_FIX.h | 7 ++-
silk/arm/arm_silk_map.c | 12 ++++
silk/arm/inner_prod_aligned_arm.h | 58 +++++++++++++++++++
silk/arm/inner_prod_aligned_neon_intr.c | 66 ++++++++++++++++++++++
silk/enc_API.c
2017 Nov 07
0
Fitdistrplus and Custom Probability Density
Why not define your own functions based on d?
e.g.
myCumDist <- function(x) { integrate(d, lower=-Inf, upper=x)$value }
myQuantile <- function(x) { uniroot(f=function(y) { h(y) - x },
interval=c(-5,5)) } # limits -5,5 should be replaced by your own which
might require some fiddling
e.g.
d <- function(x) { exp(-x^2/2)/(sqrt(2*pi)) } # just an example for you to
test with; use your own
2017 Nov 07
2
Fitdistrplus and Custom Probability Density
Dear All,
Apologies for not providing a reproducible example, but if I could, then I
would be able to answer myself my question.
Essentially, I am trying to fit a very complicated custom probability
distribution to some data.
Fitdistrplus does in principle everything which I need, but if require me
to specify not only the density function d, but also the cumulative p and
and inverse cumulative
2012 Feb 15
1
Parameter estimation of gamma distribution
Hi,
I am trying to estiamte parameters for gamma distribution using mle for
below data using fitdist & fitdistr functions which are from "fitdistrplus"
& "MASS"packages . I am getting errors for both functions. Can someone
please let me know how to overcome this issue??
data
y1<-
c(256656, 76376, 6467673, 46446, 3400, 3100, 5760, 4562, 8000, 512, 4545,
4562,
2009 Sep 19
1
generic methods - in particular the summary function
Hi all,
I'm currently working on the fitdistrplus package (that basically fit
distributions). There is something I do not understand about the
generic function summary.
In the current version on CRAN, there is no NAMESPACE saying
S3method(summary, fitdist)
.
However if we use summary on an object send by fitdist function it
works fine...
According to R-lang, we have
"
The most
2010 Oct 03
1
Johnson Distribution Fit
Hi,
I am trying to fit a Johnson SB distribution using fitdist function in
fitdistrplus Library. I have defined the Johnson SB distribution from (
http://www.ntrand.com/johnson-sb-distribution/) . But it gives me the
follwing errors. Any help would be appreciated
#xi = xi
#lambda =l
#delta =d
#gamma = g
djohn = function(x,xi,l,d,g)
(d/(l*sqrt(2*pi)*((x-xi)/l)*(1-((x-xi)/l))))*exp[-0.5*(g +
2018 Jan 29
0
Result show the values of fitting gamma parameter
Capture the results of the apply command into an object and then work with
that. Here is one way to do it:
> res <- apply(C, 2, fitdist, "gamma")
> out <- c( res$A$estimate["shape"], res$B$estimate["shape"],
res$A$estimate["rate"], res$B$estimate["rate"])
> names(out) <- c("A shape","B shape","A
2018 Jan 29
2
Result show the values of fitting gamma parameter
Hi,
Let say I have data by two columns A and B, and I have fit each column using the gamma distribution by 'fitdist' . I just want the result show only the shape and rate only.
Eg:
library(fitdistrplus)
A <-c(1,2,3,4,5)
B<-c(6,7,8,9,10)
C <-cbind(A,B)
apply(C, 2, fitdist, "gamma")
Output show like this:
$A
Fitting of the distribution ' gamma ' by maximum
2012 Jan 20
0
fit Johnson Sb with fitdist(method="mme")
Dear R-helpers,
I am trying to fit my data to a 4-parameter lognormal distribution (aka
Johnson Sb dist) with fitdist function from the library(fitdistrplus). So
far, I have learnt that with "mle" method it's not always possible to
estimate the gamma and delta parameters even if the bounding estimates are
"known"/"guessed".
Therefore, I tried to fit it with the
2010 Jul 16
0
Elementary question about computing confidence intervals.
I would have thought this to be relatively elementary, but I can't find it
mentioned in any of my stats texts.
Please consider the following:
library(fitdistrplus)
fp = fitdist(y,"exp");
rate = fp$estimate;
sd = fp$sd
fOneWeek = exp(-rate*7); #fraction that happens within a week - y is
measured in days
fr = exp(-rate*dt); #fraction remaining - dt = elapsed time from
2011 Feb 06
1
Confidence interval based on MLE
Hi there,
I have fitted a sample (with size 20) to a normal and/or logistic
distribution using fitdistr() in MASS or fitdist() in fitdistrplus
package. It's easy to get the parameter estimates. Now, I hope to report
the confidence interval for those parameter estimates. However, I don't
find a function that could give the confidence interval in R.
I hope to write a function, however,
2011 Nov 03
1
Fit continuous distribution to truncated empirical values
Hi all,
I am trying to fit a distribution to some data about survival times.
I am interested only in a specific interval, e.g., while the data lies in the interval (0,...., 600), I want the best for the interval (0,..., 24).
I have tried both fitdistr (MASS package) and fitdist (from the fitdistrplus package), but I could not get them working, e.g.
fitdistr(left, "weibull", upper=24)
2006 Apr 08
0
MSN like blind - BottomToTop
Previously, by mistake I added request in wish list for slide like MSN.
Actully it was Blind like msn. However it was my mistake so I tried to
created script by my slef - and able to do it.
But I am new to this, so my script is not in good condition.
Effect.Scale2 = Class.create();
Object.extend(Object.extend(Effect.Scale2.prototype, Effect.Base.prototype), {
initialize: function(element,
2012 Nov 08
0
Estimate two parameter for exponential dist
I'm trying to estimate two parameter for a markov chain (exponential). I used
maximum likelihood to do it. (fitdistr{MASS},fitdist{fitdistrplus}), but I
get just one parameter. Do you have any suggestion to help me? THANKS!!
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