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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  • Dropped has_rem, has_dex, has_qexit, has_qrem (superseded by the existing used_const_* flags).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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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