mc_mean: Compute the monte-carlo mean of a function

Description

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,
  ...
)

Value

The mean of the function evaluated at different parameter values.

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.