Function computes the monte-carlo mean of a function by varying the parameter inputs to the function
Usage
mc_mean(
ofv_fcn,
poped.db,
bpopdescr = poped.db$parameters$bpop,
ddescr = poped.db$parameters$d,
doccdescr = poped.db$parameters$d,
user_distribution_pointer = poped.db$model$user_distribution_pointer,
ED_samp_size = poped.db$settings$ED_samp_size,
bLHS = poped.db$settings$bLHS,
...
)Arguments
- ofv_fcn
A function with poped.db as the first input
- poped.db
A PopED database.
- bpopdescr
Matrix defining the fixed effects, per row (row number = parameter_number) we should have:
column 1 the type of the distribution for E-family designs (0 = Fixed, 1 = Normal, 2 = Uniform, 3 = User Defined Distribution, 4 = lognormal and 5 = truncated normal)
column 2 defines the mean.
column 3 defines the variance of the distribution (or length of uniform distribution).
- ddescr
Matrix defining the diagonals of the IIV (same logic as for the
bpopdescr).- doccdescr
Matrix defining the IOV. per row (row number = parameter_number) we should have:
column 1 the type of the distribution for E-family designs (0 = Fixed, 1 = Normal, 2 = Uniform, 3 = User Defined Distribution, 4 = lognormal and 5 = truncated normal)
column 2 defines the mean of the variance.
column 3 defines the variance of the distribution (or length of uniform distribution).
- user_distribution_pointer
Function name for user defined distributions for E-family designs
- ED_samp_size
Sample size for E-family sampling
- bLHS
How to sample from distributions in E-family calculations. 0=Random Sampling, 1=LatinHyperCube –
- ...
Other arguments passed to the function.