[EMAIL PROTECTED] wrote:
hi,

i'm trying to learn how to use aregImpute by doing the examples provided with the package, and after installing Hmisc.1.6-1.zip (for Windows),

Hmisc_2.0-0 is current.


use e.g. update.packages() to update to the recent version.

and running the very first example on R 1.7.1, i get an error message warning me about "mace" (see below) and acepack.

i found the acepack package, but its filename ends in tar.gz
and i'm finding it difficult to open (because its designed for Unix, i guess).
is there an acepack.zip file?  is there any way that i can play
with aregImpute on my Windows system?

So also update those packages. If they are not already installed, use install.packages() to install them.


The binary packages for R-1.7.x can be found at CRAN/bin/windows/contrib/1.7 , if you tend to install manually.

Uwe Ligges


thank you for your help,

alexis


# Multiple imputation and estimation of variances and covariances of
# regression coefficient estimates accounting for imputation
# Example 1: large sample size, much missing data, no overlap in

. . .

# Use 100 imputations to better check against individual true values
f <- aregImpute(~y + x1 + x2 + x3, n.impute=100, data=d)


Loading required package: acepack Iteration:1 Error in .Fortran("mace", p = as.integer(ncol(x)), n = as.integer
(nrow(x)), : C/Fortran function name not in load table
In addition: Warning message: There is no package called 'acepack' in: library(package, character.only = TRUE, logical = TRUE, warn.conflicts = warn.conflicts,


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