makemissing

data

Fraction of missing data in each column

Which columns (name or index) to alter

cols

Should missing occur row-wise (either none or all selected columns are missing)

rowwise

(Optional) function to be applied on data.frame before return (e.g. <code>na.omit</code> to return complete-cases only)

nafun

seed

Generates missing entries in data.frame/matrix

utilities

A general implementation of Structural Equation Models
with latent variables (MLE, 2SLS, and composite likelihood
estimators) with both continuous, censored, and ordinal
outcomes (Holst and Budtz-Joergensen (2013) <doi:10.1007/s00180-012-0344-y>).
Mixture latent variable models and non-linear latent variable models
(Holst and Budtz-Joergensen (2018) <arXiv:1803.06578>).
The package also provides methods for graph exploration (d-separation,
back-door criterion), simulation of general non-linear latent variable
models, and estimation of influence functions for a broad range of
statistical models.

makemissing: Create random missing data

Description

Usage

Arguments

Value