na.pass0: Handle Missing Values in Objects

In lava: Latent Variable Models

Handle Missing Values in Objects

Description

Returns the object with missing data replaced by zeros. This is sometimes useful for example when working with inverse probability weighting of the complete-case data.

Usage

na.pass0(object, na.action = na.omit, row.wise = FALSE, value = 0, ...)

Arguments

object	data.frame, vector
na.action	function used to identify missing values
row.wise	when true entire row is set to zero whenever a missing data is observed in that row
value	value to replace NAs with (default 0)
...	additional arguments to lower level functions

See Also

na.pass(), na.omit(), na.fail()

Examples

d <- data.frame(y=c(1,1,NA,2,NA,2), r=c(1,1,0,1,1,1))
na.pass0(d)
glm(y ~ 1, weights=d$r, data=d, na.action=na.pass0)

lava documentation built on Oct. 23, 2026, 1:09 a.m.