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lmtp 1.5.4

New Features

Bug Fixes

General

  • Added check that the number of Super Learner cross-validation folds isn't greater than the number of clusters (see issue #105).
  • origami has been removed as a dependency.
  • Now requires ife version be greater than 0.1.2 (see issue #180).
  • Risk ratio and odds ratio in lmtp_contrast are now estimated on the log scale and then the estimate and confidence intervals are exponentiated (see issue #180).

lmtp 1.5.3

New Features

Bug Fixes

  • Fixes bug where the shifted argument wouldn't work with multivariate exposure (see issue #175).
  • Fixes bug where mtp = FALSE wouldn't work with multivariate exposure.

General

lmtp 1.5.2

New Features

Bug Fixes

General

  • The default for the mtp argument has been changed from FALSE to TRUE (see issue #170).
  • A warning message is now printed in lmtp_contrast() that p-values aren't adjusted for multiple comparisons (see issue #172).
  • A warning message is now printed in lmtp_contrast() if ref is a constant.

lmtp 1.5.1

New Features

Bug Fixes

  • Super learner prediction failing for some learners. Now using onlySL = TRUE in predict.SuperLearner (see issue #162).

General

  • Making sure to only pass the necessary variables to predict.SuperLearner to suppress some warnings.

lmtp 1.5.0

New Features

  • Added the ability to estimate the so-called "total effect" for survival outcome with competing risks (see issue #143).
  • IPW and g-computation estimators are no-longer supported; they have been given deprecation errors.
  • Added lmtp_survival() function for estimating the entire survival curve. Enforces monotonicity using isotonic regression (see issue #140).

Bug Fixes

  • Using fitted values from isotonic regression in lmtp_survival() instead of the original values (see issue #149).

General

  • Removed dependency on schoolmath which used a very slow function for testing if a vector was "decimalish".
  • Fixed "F used instead of FALSE" error in CRANs tests.

lmtp 1.4.0

New Features

  • Can now estimate the effects of simultaneous interventions on multiple variables.
  • New pre-packaged shift function, ipsi() for estimating IPSI effects using the risk ratio.
  • lmtp_control() now replaces extra estimator arguments.

Bug Fixes

  • Standard errors now incorporate survey weights (see issue #134).
  • Bug fix when shift is NULL and data is a tibble (see issue #137)

General

  • The intervention_type argument has been fully deprecated.
  • Now attempting to detect intervention type errors (see issue #98).

lmtp 1.3.3

New Features

Bug Fixes

  • Fixed a bug where estimators return incorrect parameter estimates for a specific DGP (see issue #130)

General

lmtp 1.3.2

New Features

Bug Fixes

  • Fixed bug in calculation of EIF where density ratios were not non-cumulative product ratios. Previous variance estimates starting with version 1.0 were incorrect. Point-estimates remain unaffected.

General

  • Updating citations

lmtp 1.3.1

New Features

  • Added parameter .return_full_fits. Allows the user to decide if full SuperLearner fit should be returned (issue #119).
  • intervention_type argument replaced with mtp.

Bug Fixes

  • Added a check for fits$id being NULL. Fixes a backwards compatibility bug (issue #117).
  • data.table version must be 1.13.0 or later. This was when the function fcase was released (issue #122).

General

  • Changed 'effect' to 'estimate' in 'Population mean effects' portion of output (issue #120).

lmtp 1.3.0

New Features

Bug Fixes

General

  • Major internal refactor. Argument checking is now performed using checkmate package.
  • .SL_folds argument split into .learners_outcome_folds and .learners_trt_folds.

lmtp 1.1.0

New Features

Bug Fixes

  • Corrected standard errors when providing id with lmtp_contrast (issue #110).

General

  • Removed the requirement that folds must be greater than 1 (issue #112).

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).

Bug Fixes

  • Fixed a bug that caused failure when no variation existed in the outcome at a type point (issue #92).
  • No longer fails when data is a data.table (issue #88).

General

  • Removing extra column in sim_point_surv data set (issue #91).

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

  • 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.