Pier Ferrari

Pier Ferrari

3 packages on CRAN

ForImp

cran
99.99th

Percentile

Imputation of missing values in datasets of ordinal variables through a forward imputation algorithm

GenForImp

cran
99.99th

Percentile

Two methods based on the Forward Imputation approach are implemented for the imputation of quantitative missing data. One method alternates Nearest Neighbour Imputation and Principal Component Analysis (function 'ForImp.PCA'), the other uses Nearest Neighbour Imputation with the Mahalanobis distance (function 'ForImp.Mahala').

GenOrd

cran
99.99th

Percentile

A gaussian copula based procedure for generating samples from discrete random variables with prescribed correlation matrix and marginal distributions.