Description Usage Arguments Value
View source: R/fct_gp_impute_Bayes.R
This could use a considerable refactor - need to back through and break up a lot of these complicated functions
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 |
iter |
number of iterations per chain |
warmup |
number of warmup iterations |
adapt_delta |
parameter passed to rstan call |
time_min |
lower boundary of the time window for imputation |
time_max |
upper boundary of the time window for imputation |
ppg_data |
the processed PPG data.frame be used in the analysis |
ibi_data |
the IBI data used to define priors for the imputation model |
respiration_cat |
the population age group used to define the respiration range |
ds |
the downsampled sampling rate for the PPG data |
selected_ibis |
IBI values that will be used in setting the priors (defined by a combination of the expansion factor and the individual respiration rate. |
ppg_col |
column name in |
ibi_col |
column name in |
time_col |
defaults to "Time" and represents the synchronized time values for the |
expansion_factor |
is the number of respiration cycles to use in setting the data used to define the paramters in the imputation model |
applies a series of helper function and returns a list
of values that are used to define the Gaussian
process imputation model.
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