SEQTaRget v1.4.2
CRAN release: 2026-05-21
- Remove mention of units from time in docs.
- Improve memory usage in the bootstrapping.
- Fix off-by-one labeling in survival output so that
followup = kcorrectly represents survival afterkintervals, adding a row atfollowup = survival.max + 1for the final interval’s estimate. - Fix expansion bug where subjects experiencing the outcome early were incorrectly carried forward with
outcome=0rows from subsequent periods by truncating each trial at the first event row - Add
expand.onlyoption toSEQopts(). WhenTRUE,SEQuential()returns the expandeddata.tabledirectly and skips the analysis steps, for users who want to inspect or store the expanded dataset on its own. - Fix
followup.spline = TRUEso the basis is genuinely non-linear. Splines are now built into the model formula viasplines::ns()instead of being applied as a single-column transform offollowup, and the newfollowup.spline.dfoption (default4) controls the number of basis functions. The treatment-by-followup interaction now uses the same spline basis. Knots are baked from the full expandedfollowuponce at fit time so the basis is identical at fit and prediction time across bootstraps and survival grids. Internally, formula column extraction now usesall.vars(), so user-supplied covariates may includens(),bs(),I(),factor(),poly()etc. without breaking expansion. - Rename
format.time()toformat_time()because it wasn’t an S3 method and hence was causing roxygen2 to write incorrect information in its helpfile. - Add package level helpfile and bump roxygen2 to 8.0.0.
- Add parglm as an alternative GLM fitting backend.
- Add warm starts for bootstrap GLM fits.
- Add dataset size summary to verbose output.
- Fix
selection.randomnot being propagated fromSEQopts()to internal parameters. - Cap
data.tableto 2 threads during tests and vignette builds, and skip the multisession parallel test on CRAN, to comply with CRAN’s 2-core policy for checks. - Apply the
SEQopts(nthreads = ...)setting todata.tableduringSEQuential(). Previously it was only used by theparglmbackend and ignored in the default serialfastglmpath, sodata.tableran at its global default thread count. The previous global setting is restored when the call finishes. - Add
risk.timesoption toSEQopts(). Whenkm.curves = TRUE, risk difference and risk ratio (with CIs) are reported at each requested follow-up time, not just at the end of follow-up. Requested times are snapped to the latest available follow-up at or before them, and the final time is always included. Therisk.comparisonandrisk.datatables gain aFollowupcolumn. - Fix
factorize()to also coerce categorical (character) time-varying covariates - and their baseline (_bas) counterparts - to factors with levels fixed from the full data. Previously only fixed and treatment columns were factorized, so a character time-varying covariate could realise different level sets across bootstrap resamples and raise “newdata provided does not match fitted model” (most often in bootstrapped hazard analyses on larger samples or with a smallerbootstrap.sample). Numeric time-varying covariates are left unchanged.
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.colvalidation detecting and repairing non-zero-indexed time. - Add validation for
eligible.colvalues - Add Paul Madley-Dowd as a co-author
- Add check for overlapping
time_varying.colsandfixed.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.levelvalues exist in the treatment column - Add validation for
excused.colsflags - Add validation for
followup.min/maxordering - Add binary check for outcome.col in non-hazard analyses
- Add
treat.levellength validation for multinomial and non-multinomial analyses - Add binary validation for
cense.eligibleandweight.eligible_cols - Remove additional eligibility rows if not needed
- Amend defaults for
followup.minandweight.lowerfrom-Infto0 - 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 beingNAwith 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 ofwhich(...)[1]to find first switch/event per group - Replace
sapplyloop 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==0before 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 ininternal.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 describes 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)
