View source: R/convert_inputs.R
convert_inputs | R Documentation |
Converts data to a list of inputs suitable for Stan models, checks integrity of data and suggests the appropriate default model if needed. Typically all of this is done automatically by baggr, so this function is included only for debugging or running (custom) models "by hand".
convert_inputs(
data,
model,
quantiles,
effect = NULL,
group = "group",
outcome = "outcome",
treatment = "treatment",
covariates = c(),
test_data = NULL,
silent = FALSE
)
data |
'data.frameā with desired modelling input |
model |
valid model name used by baggr;
see baggr for allowed models
if |
quantiles |
vector of quantiles to use (only applicable if |
effect |
Only matters for binary data, use |
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 |
covariates |
Character vector with column names in |
test_data |
same format as |
silent |
Whether to print messages when evaluated |
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.
R structure that's appropriate for use by baggr Stan models;
group_label
, model
, effect
and n_groups
are included as attributes
and are necessary for baggr to work correctly
Witold Wiecek
# simple meta-analysis example,
# this is the formatted input for Stan models in baggr():
convert_inputs(schools, "rubin")
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