calc_precision: Function for calculating MRD precision
In AdaptiveCompBio/EOS: Commonly used functions for the EOS project

Function for calculating MRD precision

1
2
3

calc_precision(MRD, input_cancer_cells, precision.plot = TRUE, log = TRUE,
  log_offset = 1e-06, precision_type = "CV", sadler_params = list(b1 = 2,
  b2 = 0.1, b3 = -1.8))

`MRD`	The measured MRD values
`input_cancer_cells`	The pre-specified input. Note: can be frequency or any other input value
`precision.plot`	If TRUE, returns a ggplot of the Precision and Sadler's fit
`log`	Boolean for log10-transforming input_cancer_cells, default TRUE
`log_offset`	log offset for transformation to avoid log(0), default 1e-6
`precision_type`	The type of precision. Either percent CV ("CV") or relative S.D. ("rel_SD") , default "CV"
`sadler_params`	A list of initial values for sadler's fit

Returns a list containing LOQ, LCL.LOQ and UCL.LOQ. Note that LCL.LOQ will almost always be NA; use LOD as the lower limit. If TE.plot == TRUE, also contains TE_fit, fitted_data and TE_plot.

AdaptiveCompBio/EOS documentation built on May 26, 2019, 6:37 a.m.