NEWS.md

In tlverse/tmle3shift: Targeted Learning of the Causal Effects of Stochastic Interventions

tmle3shift 0.2.2

• Change default value of argument max_shifted_ratio from 2 to 5 throughout.
• Bump up minimum versions of dependencies sl3, hal9001, and haldensify.

tmle3shift 0.2.1

• Change all instances of default shift being shift_additive_bounded to use shift_additive instead, since the former is incompatible with the simpler identifying functional under the modified treatment policy definition.

tmle3shift 0.1.9

• Change Spec_shift object to use point treatment helpers from tmle3.
• Support missing data functionality based on updates to tmle3.
• Change conditional density estimation in tests and vignettes to rely on Lrnr_density_semiparametric over Lrnr_haldensify to reduce time.
• Remove reliance on Lrnr_rfcde since package appears unstable.

tmle3shift 0.1.8

• Change default for MSMs to use identity-based weighting over variance-based, improving stability of estimates.
• Bug fixes for cross-validation: cv_fold -> fold_number.

tmle3shift 0.1.7

• Addition of cvtmle = TRUE in Updater objects as the default.
• Bug fixes to bounding of conditional densities at the natural exposure value.
• Tweaks to cvtmle option and fold_number argument to match tmle3 updates.

tmle3shift 0.1.6

• Addition of HAL-based conditional density estimation as an option.
• Addition of random forest-based conditional density estimation as an option.
• Addition of bounding to Spec objects for variable importance measures.
• Addition of bounding for conditional density and likelihood objects.
• Minor bug fixes, including to vignettes.

tmle3shift 0.1.5

• An initial stable release of the package.

tlverse/tmle3shift documentation built on Sept. 24, 2024, 4:21 a.m.