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Changelog

Source: NEWS.md

SEQTaRget v1.4.1

CRAN release: 2026-03-31

  • Strip row-level vectors from fastglm objects to reduce weight.statistics memory usage and use a new internal function to print the coefficient table.
  • Strip row-level vectors from outcome models before storing in @outcome.model
  • Fix clean_fastglm to strip row-level vectors from nested multinomial weight models
  • No longer store survival.curve ggplot object; regenerate on demand via km_curve()
  • Removed several local() wrappers and made several code optimizations.
  • Improved documentation of the datasets in the package.
  • Implement check for perfect separation when fitting logistic regression models.
  • Fixed a bug in and make some improvements to internal.weights().
  • Removed three unused slots in SEQopts().
  • Add alt text to figures in vignettes.
  • Fixed SEQuential() time.col validation detecting and repairing non-zero-indexed time.
  • Add validation for eligible.col values
  • Add Paul Madley-Dowd as a co-author
  • Add check for overlapping time_varying.cols and fixed.cols
  • Add bounds validation for numeric and integer options in SEQopts()
  • Add check for duplicate id/time combinations in input data
  • Add check that treat.level values exist in the treatment column
  • Add validation for excused.cols flags
  • Add validation for followup.min/max ordering
  • Add binary check for outcome.col in non-hazard analyses
  • Add treat.level length validation for multinomial and non-multinomial analyses
  • Add binary validation for cense.eligible and weight.eligible_cols
  • Remove additional eligibility rows if not needed
  • Amend defaults for followup.min and weight.lower from -Inf to 0
  • Fix bootstrapping for risk difference and risk ratio estimates to use paired per-iteration estimates
  • Optimizations to use less RAM
  • Fix duplicate scale_color_manual warning and plot.subtitle label bug in internal.plot()
  • Run doseresponse and ITT vignette chunks on GitHub Actions
  • Fix km_curve() returning list instead of ggplot for non-subgroup case
  • Fix km_curve() subtitle condition
  • Fix risk.comparison() CIs being NA with competing events
  • Move selection.random before expansion to reduce peak memory usage
  • Replace cbind() with := in expansion chain to avoid intermediate copy
  • Replace merge() with data.table native join in expansion data_list combine step
  • Replace rbind weight construction with copy+in-place to reduce peak memory
  • Drop wt and tmp columns immediately after weight is computed in all code paths
  • Remove redundant setDF calls in fast_model_matrix
  • Free WDT before bootstrap loop when data.return is FALSE
  • Use match(TRUE, ...) instead of which(...)[1] to find first switch/event per group
  • Replace sapply loop with single matrix multiply in multinomial prediction
  • Vectorise survival curve predictions into a single inline.pred call per treatment level
  • Free result list after extraction in internal_survival.R to reduce peak memory during bootstrap
  • Free analytic list after subgroup loop in SEQuential.R to reduce peak memory during survival curve computation
  • Avoid copy() in data_all construction and free data list in internal_survival.R to reduce peak memory during bootstrap
  • Filter to followup==0 before adding trialID in internal.survival to avoid copying entire expanded dataset
  • Trim base_DT to only prediction-needed columns before replication in internal.survival to reduce peak memory
  • Remove unnecessary copy(weight) for model.data in internal.weights since it is never modified in-place
  • Free baseDT after bootstrap loop in internal.survival to reduce peak memory during survival curve computation
  • Fix multinomial.summary: replace vcov() with fastglm $se field and add missing Coefficient column to prevent rbind mismatch
  • Add test_coverage.R with tests targeting uncovered code paths to increase coverage
  • Remove some no longer used variables and dead code
  • Further memory reduction optimizations

SEQTaRget v1.3.6

CRAN release: 2026-02-16

  • Added a set.seed() call in internal.hazard() to make main estimate reproducible. And also implement fix to ensure the bootstrapping, including both standard error and percentiles, is deterministic given the seed.

SEQTaRget v1.3.5

CRAN release: 2026-02-05

  • The hazard_ratio() function now correctly desscribes the estimate as “Hazard ratio”
  • The bootstrapping now collects the log hazard ratio instead of the hazard ratio because the log hazard ratio has better normality properties.
  • The covariates() function now returns more nicely formatted output (with spaces around ~ and + symbols in the model formulae)

SEQTaRget v1.3.4

CRAN release: 2026-01-23

  • Implemented some code optimizations
    • Replace a table() call with data.table’s .N
    • Remove all gc() calls
    • Use a keyed index in bootstrapping
    • Remove some uses of copy()

SEQTaRget v1.3.3

CRAN release: 2026-01-08

  • Found and fixed a bug which caused excused switches to be overwritten.
  • Fix excusing override (#115)
  • Added visit option (#116)