Description Usage Arguments Value
This is where you describe the function itself contains the rownames and the subsequent columns are the sample identifiers. Any rows with duplicated row names will be dropped with the first one being
1 2 3 4 5 6 7 8 | cyclic_fit(
spi_input,
n_chains = 1,
iter = 1000,
cores = 1,
engine = "sample",
output_dir = getwd()
)
|
engine |
options are sample (full MCMC), variational (variational approximation of posterior), optimize (Stan's LBFGS algorithm), |
data |
Dataframe with the underlying data. Columns must include variable names |
spline_type |
List of spline types. Either cc or cr are accepted. Names must agree with knot_loc |
knot_loc |
List of knot locations |
A matrix of the infile
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