> library(sos)
> tn <- findFn('truncated normal', 999)
found 421 matches; retrieving 22 pages
2 3 4 5 6 7 8 9 10
11 12 13 14 15 16 17 18 19 20
21 22
Downloaded 305 links in 138 packages.
> tn # opens the list of 305 links in a web browser
> installPackages(tn) # installs the packages with the most links
> writeFindFn2xls(tn) # creates an Excel file in
> getwd() # the working directory
# the first sheet is a package summary
# providing more info for installed packages
# See also
> sos <- vignette('sos')
> sos
NOTES:
1. Many of the 305 links may not reference a "truncated
normal", but some of them do.
2. The directory "sos$Dir" contains "doc/sos.R", which contains
the lines of code that appear in "sos.pdf", which the print method for
"sos" above opens in a PDF reader.
Hope this helps.
Spencer
On 6/5/2014 5:10 AM, thanoon younis wrote:
Dear all members
The following function is truncated normal distribution function i wrote it
by using winbugs so now i want to write it by using R - program.
for(j in
1:P){y[i,j]~djl.dnorm.trunc(mu[i,j],psi[j],thd[j,z[i,j]],thd[j,z[i,j]+1])}
where y:underlying continuous variables and treated as a missing variable
and augmented wit the posterior analysis.
mu: mean
psi: variance
z:ordered categorical variables
the : preassigned values for thresholds and represent matrix(10*6)
dimention.
I hope anyone help me
Many thanks in advance
Thanoon
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