CausalState 0.10.2

Bug fixes

• density_ratio(): crashed fold workers (returned as try-error by mclapply) now cause an immediate hard stop with a descriptive message, rather than being silently converted to Rt_t = 1. A second guard stops if any subject has NA density-ratio weight after the fold loop.

Internal

• R/diagnostics.R merged into R/helpers.R; diagnostics.R removed.

CausalState 0.10.1

CRAN resubmission fixes

• Title shortened to comply with CRAN length requirement.
• DOI references added to Description field in DESCRIPTION.
• Added \value tag to sl_tmle.Rd.
• Removed dead cat()/SL_WARN_FILE logging block from R/sl.R.
• Removed inst/sim_study/ (non-standard directory containing local simulation scripts with global environment side-effects).
• Replaced non-ASCII em dash characters in R/helpers.R with — escapes.
• Added documentation for exported sim_bin(), sim_cont(), and sim_multi() (missing man pages).
• Added skip_on_cran() to tests/testthat/test-accuracy.R.

CausalState 0.10.0

Breaking changes

• New pool_time = c("spline", "linear", "factor") argument on sdr(), itmle(), and qreg(), defaulting to "spline" (restricted cubic spline, K = min(5, tmax) equally-spaced knots, df = K - 1). Applies only when pool_g_death = TRUE or pool_q_exit = TRUE. Point estimates from pooled fits will change compared to 0.9.0; pass pool_time = "linear" to reproduce the previous behaviour.

• Q_rem at the terminal block (tt == tmax) now uses sl_recursive (routed through sl_rec_early when tt <= rec_transition), reverting the 0.9.0 behaviour where it used sl_y. The family switch (binomial when the outcome is binomial at tmax) is retained. Terminal-block estimates change.

• sl_rec_simple renamed to sl_rec_early in sdr(), itmle(), and internal helpers. Update any call that used the old argument name.

• weight_diagnostics() default trim changed from 0.99 to 1 (no trimming by default). Pass trim = 0.99 explicitly for the previous output.

• $diagnostics$recursion_diag cleanup (sdr() and itmle()):

  • Renamed internal pseudo_pre_ar_tr to Y_target_ar; the diagnostic table now carries Y_target_{mean,sd,min,max} and resid_{sd,q95_abs,max_abs} columns.
  • Dropped has_rem, has_dex, has_qexit, has_qrem (superseded by the existing used_const_* flags).
  • Dropped mean_pseudo_pre_ar, sd_pseudo_pre_ar, Q_pre_diff_*, delta_mean, corr_*, exit_contrib_*_mean, rem_contrib_*_mean.
  • iTMLE additionally drops Q_post_diff_*, delta_nat_target_mean, delta_shf_target_mean, delta_nat_vl_target_mean, and delta_shf_vl_target_mean.

New features

• Exported simulation helpers for vignettes, examples, and user experimentation:
  • sim_bin() – single binary treatment.
  • sim_cont() – single continuous treatment.
  • sim_multi(n_binary, n_continuous) – arbitrary number of binary and/or continuous treatments (columns A_b1..A_bK, A_c1..A_cM).
• User-facing diagnostic helpers:
  • weight_diagnostics() – per-time weight summary (instantaneous and cumulative-product means, quantiles, Kish ESS) from a density-ratio object.
  • branch_cal_summary() – fold-averaged per-(t, branch) calibration table from an sdr() / itmle() fit.
  • contrast() – risk difference, risk ratio, and odds ratio between two fits (or between a fit and the observed mean), with SEs derived from the influence curves.

Documentation

• New vignette("diagnostics") walking through the recommended workflow: density-ratio weights and trim selection, natural-course Q calibration and SuperLearner tuning, final estimation, then post-estimation sanity checks.
• ?sdr and ?itmle gain a Diagnostics section listing all diagnostic slots (branch_cal, recursion_diag, target_cal, target_sl, sl_summary, ic_df) with one-sentence purposes and a pointer to the vignette.
• ?sdr and ?itmle @examples reworked to use the new exported simulation helpers – one block each for binary, continuous, and mixed multi-treatment scenarios.
• sl_workers documentation simplified: no longer names specific learners as incompatible, just notes that fork-parallel evaluation is not compatible with all learners.

Bug fixes

• weight_diagnostics() cumulative-product weights now computed over all N subjects (previously restricted, causing under-reporting of the mean cumulative weight).

CausalState 0.9.0

• First public pre-release.
• Main estimators: sdr(), itmle(), density_ratio(), qreg().
• Supports joint multi-treatment policies via a_names = c("A1", "A2", ...).
• Gaussian outcome support with internal [0, 1] scaling via y_bounds.
• Pooled death model option (pool_g_death) and pooled exit-outcome model option (pool_q_exit) for sparse late time points.
• Custom SuperLearner wrappers for SDR (SL.tgt.*) and iTMLE (SL.tmle_*) targeting steps.
• Cross-fitted density ratio weights reusable across estimators and time horizons.
• Cluster-robust standard errors via cluster argument.