| hybrid_eval_perf_1cmpt | R Documentation |
Constructs a grid of all combinations of ka, cl, and vd parameters from different sources (e.g., simpcal, graph, NCA methods), and removes combinations that are redundant based on relative tolerance. Only oral routes consider ka value for deduplication. Any parameter value set that includes NA is removed up front.
hybrid_eval_perf_1cmpt(
route = "bolus",
dat,
sp_out_ka,
sp_out_cl,
sp_out_vd,
graph_out_ka,
graph_out_cl,
graph_out_vd,
nca_fd_ka,
nca_fd_cl,
nca_fd_vd,
nca_efd_ka,
nca_efd_cl,
nca_efd_vd,
nca_all_ka,
nca_all_cl,
nca_all_vd,
verbose = TRUE
)
route |
Route of administration. Must be one of bolus, oral, or infusion. |
dat |
A data.frame containing PK data with columns such as EVID and DV. |
sp_out_ka |
Numeric; ka estimated from adaptive single-point methods. |
sp_out_cl |
Numeric; clearance estimated from adaptive single-point methods. |
sp_out_vd |
Numeric; volume of distribution estimated from adaptive single-point methods. |
graph_out_ka |
Numeric; ka estimated from naive pooled graphic methods. |
graph_out_cl |
Numeric; clearance estimated from naive pooled graphic methods. |
graph_out_vd |
Numeric; volume of distribution estimated from naive pooled graphic methods. |
nca_fd_ka |
Numeric; ka estimated from naive pooled NCA using first-dose data. |
nca_fd_cl |
Numeric; clearance estimated from naive pooled NCA using first-dose data. |
nca_fd_vd |
Numeric; volume of distribution estimated from naive pooled NCA using first-dose data. |
nca_efd_ka |
Numeric; ka estimated from naive pooled NCA using repeated-dose data. |
nca_efd_cl |
Numeric; clearance estimated from naive pooled NCA using repeated-dose data. |
nca_efd_vd |
Numeric; volume of distribution estimated from naive pooled NCA using repeated-dose data. |
nca_all_ka |
Numeric; ka estimated from naive pooled NCA using combined first- and repeated-dose data. |
nca_all_cl |
Numeric; clearance estimated from naive pooled NCA using combined first- and repeated-dose data. |
nca_all_vd |
Numeric; volume of distribution estimated from naive pooled NCA using combined first- and repeated-dose data. |
verbose |
Logical; if TRUE (default), displays a textual progress bar during model evaluation using the 'progressr' package. Set to FALSE to run silently without showing progress information, which is recommended for automated analyses or CRAN checks. |
A data.frame of unique parameter combinations with source labels and values.
dat <- Bolus_1CPT
# Example parameter estimates from different methods
sp_out_ka <- 1.2; sp_out_cl <- 3.5; sp_out_vd <- 50
graph_out_ka <- 1.1; graph_out_cl <- 3.6; graph_out_vd <- 52
nca_fd_ka <- 1.3; nca_fd_cl <- 3.4; nca_fd_vd <- 49
nca_efd_ka <- NA; nca_efd_cl <- NA; nca_efd_vd <- NA
nca_all_ka <- 1.25; nca_all_cl <- 3.55; nca_all_vd <- 51
# Run hybrid evaluation (silent)
hybrid_eval_perf_1cmpt(
route = "oral",
dat = dat,
sp_out_ka = sp_out_ka, sp_out_cl = sp_out_cl, sp_out_vd = sp_out_vd,
graph_out_ka = graph_out_ka, graph_out_cl = graph_out_cl, graph_out_vd = graph_out_vd,
nca_fd_ka = nca_fd_ka, nca_fd_cl = nca_fd_cl, nca_fd_vd = nca_fd_vd,
nca_efd_ka = nca_efd_ka, nca_efd_cl = nca_efd_cl, nca_efd_vd = nca_efd_vd,
nca_all_ka = nca_all_ka, nca_all_cl = nca_all_cl, nca_all_vd = nca_all_vd,
verbose = FALSE
)
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