syn.survctree

a vector of length <code>n</code> with original time data.

a vector of length <code>n</code> with original event indicator data.

yevent

a matrix (<code>n</code> x <code>p</code>) of original covariates.

a matrix (<code>k</code> x <code>p</code>) of synthesised covariates.

for proper synthesis (<code>proper = TRUE</code>) a CART 
    model is fitted to a bootstrapped sample of the original data.

proper

the minimum number of observations in
    any terminal node. See <code><a rd-options="" href="/link/ctree_control?package=synthpop&version=1.2-1" data-mini-rdoc="synthpop::ctree_control">ctree_control</a></code>
    for details.

minbucket

additional parameters passed to <code><a rd-options="" href="/link/ctree?package=synthpop&version=1.2-1" data-mini-rdoc="synthpop::ctree">ctree</a></code>.


  Generates synthetic event indicator and time to event data using 
  classification and regression trees (without or with bootstrap).


datagen

A tool for producing synthetic versions of microdata containing confidential information so that they are safe to be released to users for exploratory analysis. The key objective of generating synthetic data is to replace sensitive original values with synthetic ones causing minimal distortion of the statistical information contained in the data set. Variables, which can be categorical or continuous, are synthesised one-by-one using sequential modelling. Replacements are generated by drawing from conditional distributions fitted to the original data using parametric or classification and regression trees models. Data are synthesised via the function syn() which can be largely automated, if default settings are used, or with methods defined by the user. Optional parameters can be used to influence the disclosure risk and the analytical quality of the synthesised data.

syn.survctree: Synthesis of survival time by classification and regression trees (CART)

Description

Usage

Arguments

Value

Details

See Also