point_trans: Helper Functions for Point Estimators
In Zyx0Wu/tmle3trans: What the Package Does (One Line, Title Case)

Handles the common W (covariates), S (location), Y (outcome) data structure

point_o_npsem(node_list, variable_types = NULL)

point_e_npsem(node_list, variable_types = NULL)

point_task(data, node_list, make_npsem, variable_types = NULL, ...)

point_o_likelihood(tmle_task, learner_list)

point_e_likelihood(tmle_task, learner_list)

`node_list`	a list of character vectors, listing the variables that comprise each node
`variable_types`	a list of variable types, one for each node. If missing, variable types will be guessed
`data`	a `data.frame`, or `data.table` containing data for use in estimation
`...`	extra arguments.
`tmle_task`	a `tmle3_Task` as constructed via `point_task`
`learner_list`	a list of sl3 learners, one for A and one for Y to be used for likelihood estimation