Render a publication-ready table from an MRM effect object

rmorie's own renderer (no stargazer / gt / gtable): the same table in plain text, Markdown, LaTeX (booktabs-style rules without requiring the package), or HTML.

Usage

morie_mrm_report(
  effect,
  format = c("text", "markdown", "latex", "html"),
  digits = 3,
  caption = "MRM causal-effect estimates"
)

Arguments

effect: A morie_mrm_effect object (or any list with a compatible results data frame).
format: One of "text", "markdown", "latex", "html".
digits: Significant digits (default 3).
caption: Table caption.

Value

Character vector of rendered lines (invisibly printed for "text").

Examples

set.seed(1)
df <- data.frame(y = rnorm(300), t = rbinom(300, 1, 0.5),
                 x = rnorm(300))
eff <- morie_mrm_estimate_causal_effect(df, "t", "y", "x",
                                        methods = "ate")
#> Warning: categorical coding hazards in covariates [x] - run morie_audit_categories(data) and fix before trusting these estimates.
cat(morie_mrm_report(eff, format = "markdown"), sep = "\n")
#> | Method                  | Estimate | SE    | 95% CI          | p (adj.) |
#> |-------------------------|----------|-------|-----------------|----------|
#> | ipw ate (rmorie native) | -0.0555  | 0.111 | [-0.274, 0.163] | 0.619    |
#> Consensus (inverse-variance): -0.0555 (SE 0.111). holm correction; n = 300.