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Apply Model Modules Using A Simple And Consistent Syntax

library(ready4) 

Motivation

To be used in health economic analyses, model modules need to be called using a programming syntax. Ideally that syntax should be relatively simple, with the name and description of each command reliably communicating the category of operations it performs.

Implementation

ready4 provides a simple syntax that is used by all model modules developed with the ready4 framework.

Use

A table that itemises ready4 commands along with examples of how these commands are used can be ingested from a periodically updated database using get_methods_tb. In the below example we will search for examples of where that syntax has been used by modules from the readyforwhatsnext model. The value supplied to the gh_repo_1L_chr argument specifies the repository in which a dataset of readyforwhatsnext module libraries is stored.

x <- get_methods_tb(gh_repo_1L_chr = "ready4-dev/ready4")
## A character string is being returned. If this is not what you expected, it is likely to be the error message produced when the requested online resource has not been found. Set the not_chr_1L_lgl argument to TRUE to force a NULL return value when an internet resource is not found.

Core commands

A HTML table of ready4’s core commands and examples of the use of each command can be displayed using the print_methods function, using the return_1L_chr = "core" argument.

print_methods(x,
              return_1L_chr = "core",
              scroll_width_1L_chr = "100%") 
Method Purpose Examples
author Author and save files 5 , 6, 7 , 16 , 17
characterize Characterize model module data by generating (tabular) descriptive statistics
depict Depict (plot) features of model module data 13, 14 , 15
enhance Enhance a model module by adding new elements
exhibit Exhibit features of model module data by printing them to the R console 2 , 5 , 6, 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20
ingest Ingest data 1 , 2 , 3 , 6, 13 , 14 , 15 , 16 , 17 , 18
investigate Investigate solutions to an inverse problem 16 , 17
manufacture Manufacture a new object
metamorphose Metamorphose a model module to a model module of a different (non-inheriting) class 17
procure Procure items from a dataset 5, 17
prognosticate Prognosticate (make predictions) by solving a forward problem
ratify Ratify that input or output data meet validity criteria 13, 17 , 19 , 20
reckon Reckon (calculate) a value
renew Renew (update) values 1 , 2 , 13, 14 , 15 , 16 , 17 , 19 , 20
share Share data via an online repository 1 , 13, 14 , 15 , 16

Applying commands to module “slots”

Each of the “core” commands also has a “slot” version, which applies the command to a specified slot (a named element of a module). Two of these “slot” methods can also be used for additional purposes:

A HTML table of slot commands and relevant examples can be displayed using the print_methods function, using the return_1L_chr = "slot" argument.

print_methods(x,
              return_1L_chr = "slot",
              scroll_width_1L_chr = "100%")
Method Purpose Examples
authorSlot Apply the author method to a model module slot
characterizeSlot Apply the characterize method to a model module slot
depictSlot Apply the depict method to a model module slot
enhanceSlot Apply the enhance method to a model module slot
exhibitSlot Apply the exhibit method to a model module slot 4, 17 , 19 , 20
ingestSlot Apply the ingest method to a model module slot
investigateSlot Apply the investigate method to a model module slot
manufactureSlot Apply the manufacture method to a model module slot
metamorphoseSlot Apply the metamorphose method to a model module slot
procureSlot Procure (get) data from a slot 4, 14 , 16 , 17
prognosticateSlot Apply the prognosticate method to a model module slot
ratifySlot Apply the ratify method to a model module slot
reckonSlot Apply the reckon method to a model module slot
renewSlot Renew (set) the values of data in a module slot 4, 14 , 17 , 19 , 20
shareSlot Apply the share method to a model module slot

Extended commands

Finally, there are a small number of other commands that are more general extensions of the core commands. Currently, these extended commands are all variants on the author command, with each extension specifying the type of output to be authored by the method. A HTML table of the extended generics bundled with ready4 can be displayed using the print_methods function, using the return_1L_chr = "extended" argument.

print_methods(x,
              exclude_mthds_for_chr = "Ready4Module",
              return_1L_chr = "extended",
              scroll_width_1L_chr = "100%")
Method Purpose Examples
authorClasses Author and document classes
authorData Author and document datasets 4, 17
authorFunctions Author and document functions
authorReport Author and save a report 4

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.