Displaying 3 results from an estimated 3 matches for "gaussion".
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gaussian
2004 Feb 22
6
help for MLE
Dear Sir/Madam,
I am using R version 1.8.1. I am doing following tast:
First generate 100 Gaussion(3,1) numbers, then write the likelihood function
to estimate the parameters of Gaussian distribution by direct maximizing the
likelihood function.
My likelihood function is:
>fn<-function(x)
>(-50*log((sd(x))^2))-50*log(sqrt(2*pi))-(1/2*((mean(x))^2))*(sum((x-(mean(x))^2))
After I inp...
2011 Jan 03
3
Inverse Gaussian Distribution
Dear,
I want to fit an inverse gaussion distribution to a data set.
The predictor variables are gender, area and agecategory.
For each of these variables I've defined a baseline
e.g.
#agecat: baseline is 3
data<-transform(data, agecat=C(factor(agecat,ordered=TRUE),
contr.treatment(n=6,base=3)))
The variable 'area' g...
2010 Nov 19
0
glmnet_1.5.1 uploaded to CRAN
In glmnet_1.5 a poor default was set for the argument type which caused the program
to be very slow or even crash when nvar (p) is very large.
The argument type (now called type.gaussian) has two options,
"covariance" or "naive", and is used for the default family="gaussion" model (squared error loss).
When type.gaussian="covariance", all inner-products between variables in the active set
and all other variables are cached, and can cause considerable speedup when nobs is large.
However, when nvar is large (>500) the matrix to be stored gets large, a...