sbpiper (version 1.9.0)

compute_sampled_ple_stats: Compute the table for the sampled PLE statistics.

Description

Compute the table for the sampled PLE statistics.

Usage

compute_sampled_ple_stats(df, min_objval, cl66_objval, cl95_objval, cl99_objval,
  logspace = TRUE)

Arguments

df

the complete data frame

min_objval

the minimum objective value

cl66_objval

the 66% confidence level objective value

cl95_objval

the 95% confidence level objective value

cl99_objval

the 99% confidence level objective value

logspace

true if parameters are plotted in logspace (default: TRUE)

Value

the list of parameter values with their confidence intervals

Examples

# NOT RUN {
data(insulin_receptor_all_fits)
colnames(insulin_receptor_all_fits)[1] <- "ObjVal"
min_objval <- min(insulin_receptor_all_fits[,1])
# compute the stats for parameter k2. 
insulin_receptor_all_fits <- subset(insulin_receptor_all_fits, select=c(1,3))
compute_sampled_ple_stats(df=insulin_receptor_all_fits, 
                          min_objval=min_objval, 
                          cl66_objval=min_objval+0.01, 
                          cl95_objval=min_objval+0.02, 
                          cl99_objval=min_objval+0.03, 
                          logspace=FALSE)
# }