helper to remove stops and reduce complexity of make_par_values
make_par_values_stops(
model,
alter = "priors",
x = NA,
alter_at = NA,
node = NA,
label = NA,
nodal_type = NA,
param_set = NA,
given = NA,
statement = NA,
join_by = "|",
param_names = NA,
distribution = NA,
normalize = FALSE
)model created with make_model
character vector with one of "priors" or "param_value" specifying what to alter
vector of real non negative values to be substituted into "priors" or "param_value"
string specifying filtering operations to be applied to parameters_df, yielding a logical vector indicating parameters for which values should be altered. (see examples)
string indicating nodes which are to be altered
string. Label for nodal type indicating nodal types for which values are to be altered. Equivalent to nodal_type.
string. Label for nodal type indicating nodal types for which values are to be altered
string indicating the name of the set of parameters to be altered
string indicates the node on which the parameter to be altered depends
causal query that determines nodal types for which values are to be altered
string specifying the logical operator joining expanded
types when statement contains wildcards.
Can take values '&' (logical AND) or '|' (logical OR).
vector of strings. The name of specific parameter in the form of, for example, 'X.1', 'Y.01'
string indicating a common prior distribution (uniform, jeffreys or certainty)
logical. If TRUE normalizes such that param set probabilities sum to 1.