lmtp 1.0.0

New Features

• New shifted parameter for directly passing shifted data instead of using a shift function (issue #89).
• New intervention_type parameter required for specifying if the intervention of interest is a static regime, a dynamic regime, or a modified treatment policy (issue #94).
• return_all_ratios removed as an argument. Returned density ratios are now non-cumulative product ratios.

Bug Fixes

• Density ratio trimming now occurs in the same spot for all estimators and is only performed on non-cumulative product ratios (issue #\93).
• Fixed issue where lmtp_tmle and lmtp_sdr weren’t using validation set density ratios.
• No longer fails when data is a data.table (issue #88).

General

• Removing extra column in sim_point_surv data set (issue #91).
• Paper citation updated with release in JASA (issue #103).

lmtp 0.9.1

Bug Fixes

• Fixed a bug that caused failure when knitting the getting-started.Rmd vignette when using new version of the future package (issue #100).

General

• GitHub links added to DESCRIPTION (issue # 99).

lmtp 0.9.0

New Features

• New weights parameter for observation sampling weights (issue #78).

• For time-to-event analysis, survival probability is now estimated instead of the cumulative incidence. This fixes a bug with IPW and survival problems.

• Outcome type now accepts "survival" for explicit indication of a survival outcome (issue #76). Because of this lmtp_ipw() now requires setting the outcome type.

• New .trimming parameter for trimming extreme density ratios.

• New .SL_folds parameter that controls the splits used for fitting the SuperLearner (issue #84).

• New .return_all_ratios parameter that allows for returning non-cumulative product density ratios to the user.

• bound parameter renamed to .bound.

Bug Fixes

• Fixed a bug that caused the final estimate to be incorrectly estimated with SDR (issue #87).

• Fixed a bug that outputted outcome regressions and density ratios in incorrect order compared to the original data.

• Fixed a bug in the missing data check that threw an error for missing data after an observation experiences the outcome.

• Fixed a bug in the calculation of standard errors when the id parameter is specified.

• Fixed a bug that resulted in NA censoring indicators throwing an error for missing data.

• Fixed a bug about values() being deprecated in the future package (issue #82).

• Fixed a warning from the future package regarding random number generation (issue #81).

• Fixed create_node_list() returns description (issue #77).

Dependencies

• Now relies on the SuperLearner package for estimation.

• slider dependency removed.

• data.table added as a dependency.

General

• event_locf() speed greatly improved (issue #80).

• Migrated continuous integration from Travis-CI to GitHub Actions.

• Added a NEWS.md file to track changes to the package.

• License change to GPL-3.