optimize_parameter: optimize_parameter

In RnaSeqSampleSize: RnaSeqSampleSize

Description

A function to optimize the parameters in power or sample size estimation.

Usage

optimize_parameter(
  fun = est_power,
  opt1,
  opt2,
  opt1Value,
  opt2Value,
  main,
  ...
)

Arguments

fun	function to be optimized, can be est_power, sample_size.
opt1	parameter1 to be optimized.
opt2	parameter2 to be optimized.
opt1Value	values of parameter1 to be optimized.
opt2Value	values of parameter2 to be optimized.
main	Title of optimization result figure.
...	Other parameters for optimized funtion.

Details

A function to optimize the parameters in power or sample size estimation.

Value

A power or sample size matrix, generated by different pair of two paramters.

Examples

#Optimization for power estimation
result<-optimize_parameter(fun=est_power,opt1="n",opt2="lambda0",opt1Value=c(3,5,10,15,20),opt2Value=c(1:5,10,20))
#Optimization for sample size estimation
result<-optimize_parameter(fun=sample_size,opt1="lambda0",opt2="phi0",opt1Value=c(1,3),opt2Value=c(1.5,2),power=0.8)

RnaSeqSampleSize documentation built on Nov. 8, 2020, 6:54 p.m.