lodi (version 0.9.2)

lod_root2: Single pollutant sqrt(2) imputation.

Description

lod_root2 is a helper function that performs single imputation with lod / sqrt(2), a common ad hoc approach used in single-pollutant modeling. The function can be used to compare with clmi.

Usage

lod_root2(formula, df, lod, type)

Arguments

formula

A R formula in the form outcome ~ exposure + covariates.

df

A data.frame that contains the variables formula references.

lod

Name of the limit of detection variable.

type

The type of regression to perform. Acceptable options are linear and logistic.

Examples

# NOT RUN {
# load lodi's toy data
library(lodi)
data("toy_data")
lodi.out <- lod_root2(case_cntrl ~ poll + smoking + gender, toy_data, lod,
                        logistic)
# see the fit model
lodi.out$model

# we can log transform poll to make it normally distributed
lodi.out <- lod_root2(case_cntrl ~ log(poll) + smoking + gender, toy_data,
                        lod, logistic)
lodi.out$model

# transforming the exposure results in a new column being added to data,
# representing the transformed lod.
head(lodi.out$data)

# You can even define your own transformation functions and use them
f <- function(x) exp(sqrt(x))
lodi.out <- lod_root2(case_cntrl ~ f(poll) + smoking + gender, toy_data, lod,
                        logistic)
head(lodi.out$data)
# }