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baggr (version 0.2.0)

convert_inputs: Convert inputs for baggr models

Description

Converts data to Stan inputs, checks integrity of data and suggests default model if needed. Typically used automatically by baggr but useful for debugging.

Usage

convert_inputs(data, model, quantiles, group = "group",
  outcome = "outcome", treatment = "treatment", test_data = NULL)

Arguments

data

`data.frame`` with desired modelling input

model

valid model name used by baggr; see baggr for allowed models if model = NULL, this function will try to find appropriate model automatically

quantiles

vector of quantiles to use (only applicable if model = "quantiles")

group

name of the column with grouping variable

outcome

name of column with outcome variable (designated as string)

treatment

name of column with treatment variable

test_data

same format as data argument, gets left aside for testing purposes (see baggr)

Value

R structure that's appropriate for use by baggr Stan models; group_label, model and n_groups are included as attributes and are necessary for baggr to work correctly

Details

Typically this function is only called within baggr and you do not need to use it yourself. It can be useful to understand inputs or to run models which you modified yourself.

Examples

Run this code
# NOT RUN {
# simple meta-analysis example:
convert_inputs(schools, "rubin")
# }

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