[R-pkgs] new package 'SeleMix' for selective editing

[Teresa Buglielli]

Dear R users,

we would like to announce that on the CRAN a new package (SeleMix
version 0.8.1) for selective editing is available.

This package includes functions for identification of outliers and
influential errors in numerical data. For each unit, it provides also
anticipated values (predictions) for both observed and non observed
variables. The method is based on explicitly modelling both true
(error-free) data and error mechanism through a two-component Gaussian
mixture. Specifically, true data (first mixture component) are supposed
to follow normal or log-normal distribution. We assume that only a
subset of data (second mixture component) is affected by error and that
the error mechanism is specified through a Gaussian random variable with
zero mean vector and covariance matrix proportional to the covariance
matrix of the true data distribution.


We would appreciate any feedback

Sincerely,

Teresa Buglielli and Ugo Guarnera

-- 
Teresa Buglielli
Methods, Tools and Methodological Support
Italian National Institute of Statistics
bugliell at istat.it

Ugo Guarnera
Methods, Tools and Methodological Support
Italian National Institute of Statistics
guarnera at istat.it