offset_values_extract

Extracts offset values by applying a formula with an offset term
to a data frame.

Contains model-based treatment of missing data for regression
models with missing values in covariates or the dependent
variable using maximum likelihood or Bayesian estimation
(Ibrahim et al., 2005; <doi:10.1198/016214504000001844>;
Luedtke, Robitzsch, & West, 2020a, 2020b;
<doi:10.1080/00273171.2019.1640104><doi:10.1037/met0000233>).
The regression model can be nonlinear (e.g., interaction
effects, quadratic effects or B-spline functions).
Multilevel models with missing data in predictors are
available for Bayesian estimation. Substantive-model compatible
multiple imputation can be also conducted.

Alexander Robitzsch

mdmb

Model Based Treatment of Missing Data

offset_values_extract function

<dl> <dt>formula</dt>
<dd>An R Formula</dd> <dt>data</dt>
<dd>Data frame</dd></dl>

Arguments

Extracts Offset Values — offset_values_extract

<dl>

 <dt>formula</dt>
<dd>An R Formula</dd>

 <dt>data</dt>
<dd>Data frame</dd>

</dl>

offset_values_extract: Extracts Offset Values

Description

Usage

Value

Arguments

See Also

Examples