> 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
>
> [[alternative HTML version deleted]]
>
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