sampled_p_vector {EMC2} | R Documentation |
Makes a vector with zeroes, with names and length corresponding to the model parameters of the design.
sampled_p_vector(
design,
model = NULL,
doMap = TRUE,
add_da = FALSE,
all_cells_dm = FALSE
)
design |
a list of the design made with |
model |
a model list. Defaults to the model specified in the design list. |
doMap |
logical. If |
add_da |
Boolean. Whether to include the relevant data columns in the map attribute |
all_cells_dm |
Boolean. Whether to include all levels of a factor in the mapping attribute, even when one is dropped in the design |
Named vector.
# First define a design
design_DDMaE <- design(data = forstmann,model=DDM,
formula =list(v~0+S,a~E, t0~1, s~1, Z~1, sv~1, SZ~1),
constants=c(s=log(1)))
# Then for this design get which cognitive model parameters are sampled:
sampled_p_vector(design_DDMaE)