If you are new to the package, start with the section; if you already have it installed and want to dive straight into the full‑mode workflow , skip ahead to the “Full‑Mode Feature Walk‑through” .
# Quick look at the pooled Cox model library(survival) cox_fit <- coxph(Surv(time, status) ~ age + sex + ph.ecog, data = lung_imp$imputed_data) summary(cox_fit) rmissax full
# Print the imputed data print(imputed_data) quick‑start If you are new to the package,
: A meta-series where performers interact with content. # Print the imputed data print(imputed_data) Watching Porn
## 4️⃣ Choose imputation methods ----------------------------------------- if (identical(impute_method, "auto")) meth_tbl <- select_best_method(df, candidate_methods = c("pmm","rf","knn","norm")) else meth_tbl <- impute_method # assume user supplied a named list/data.frame
## 2️⃣ Detect patterns ---------------------------------------------------- pat <- detect_pattern(df, plot = FALSE)