lmtp 1.3.1

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.

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).

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

lmtp 1.3.0

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

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

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.

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).

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

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).

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.

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).