Performs Hit Call and Model Winner Selection on Bootstrap Results
toxbootHitParamCI takes input dose response data and returns a matrix
of sampled dose response values.
data.table, a data.table resulting from a toxboot query minimally with columns m4id, max_med, hill_ga, hill_gw, hill_tp, hill_aic, gnls_ga, gnls_gw, gnls_tp, gnls_la, gnls_lw, gnls_aic, cnst_aic
data.table. Minimally this data.table must have a column for
m4id and coff (cutoff value, used in determining the hitcall). Often use
the resulting data.table from
Based upon mc5 processing in
This function will first choose a winning model for each bootstrap replicate, based on that row's values for cnst_aic, hill_aic, gnls_aic.
Second, if the winning model is hill or gnls, the max_med is greater than the cutoff, and the winning model modl_tp parameter is greater than the cutoff, the hitcall for that row is 1 (boot_hitc == 1).
Finally, if boot_hitc == 1, values for modl_ga, modl_gw, and modl_tp are set to the corresponding values in the winning model. Else, these parameters are set to NA.
dat_boot, a data.table equivalent to dat_db with added columns coff (from dat_pipe), maic (winning model aic), modl (winning model), boot_hitc, modl_ga, modl_gw, and modl_tp
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