.mcee_check_no_missing_vars

Check data frame columns for missing/infinite values

Provides methods to analyze micro-randomized trials (MRTs) with binary treatment options. Supports four types of analyses: (1) proximal causal excursion effects, including weighted and centered least squares (WCLS) for continuous proximal outcomes by Boruvka et al. (2018) <doi:10.1080/01621459.2017.1305274> and the estimator for marginal excursion effect (EMEE) for binary proximal outcomes by Qian et al. (2021) <doi:10.1093/biomet/asaa070>; (2) distal causal excursion effects (DCEE) for continuous distal outcomes using a two-stage estimator by Qian (2025) <doi:10.1093/biomtc/ujaf134>; (3) mediated causal excursion effects (MCEE) for continuous distal outcomes, estimating natural direct and indirect excursion effects in the presence of time-varying mediators by Qian (2025) <doi:10.48550/arXiv.2506.20027>; and (4) standardized proximal effect size estimation for continuous proximal outcomes, generalizing the approach in Luers et al. (2019) <doi:10.1007/s11121-017-0862-5> to allow adjustment for baseline and time-varying covariates for improved efficiency.

Tianchen Qian

MRTAnalysis

Assessing Proximal, Distal, and Mediated Causal Excursion
Effects for Micro-Randomized Trials

Shaolin Xiang

Zhaoxi Cheng

Xinyi Song

John Dziak

Audrey Boruvka

.mcee_check_no_missing_vars function

<dl><dt>data</dt>
<dd>Data frame to check</dd>
<dt>vars</dt>
<dd>Character vector of column names to check</dd>
<dt>where</dt>
<dd>Optional context description for error messages</dd>
<dt>max_show</dt>
<dd>Maximum number of row indices to show per variable</dd></dl>

Arguments

Check data frame columns for missing/infinite values — .mcee_check_no_missing_vars

<dl>

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


<dt>vars</dt>
<dd>Character vector of column names to check</dd>


<dt>where</dt>
<dd>Optional context description for error messages</dd>


<dt>max_show</dt>
<dd>Maximum number of row indices to show per variable</dd>

</dl>

.mcee_check_no_missing_vars: Check data frame columns for missing/infinite values

Description

Usage

Value

Arguments