fitexp5: Exponential 5 Model Fit

In tcplfit2: Concentration-Response Modeling of HTS or Transcriptomics Data

Exponential 5 Model Fit

Description

Function that fits to f(x) = tp*(1-2^{(-(x/ga)^p)}) and returns generic model outputs.

Usage

fitexp5(
  conc,
  resp,
  bidirectional = TRUE,
  verbose = FALSE,
  nofit = FALSE,
  dmin = 0.3
)

Arguments

conc	Vector of concentration values NOT in log units.
resp	Vector of corresponding responses.
bidirectional	If TRUE, model can be positive or negative; if FALSE, it will be positive only.
verbose	If TRUE, gives optimization and hessian inversion details.
nofit	If nofit = TRUE, returns formatted output filled with missing values.
dmin	Minimum allowed value of p.

Details

Zero background and increasing absolute response are assumed. Parameters are "tp" (top), "ga" (AC50), "p" (power), and error term "er". success = 1 for a successful fit, 0 if optimization failed, and NA if nofit = TRUE. cov = 1 for a successful hessian inversion, 0 if it fails, and NA if nofit = TRUE. aic, rme, modl, parameters, and parameter sds are set to NA in case of nofit or failure.

Value

Named list containing: success, aic (Akaike Information Criteria), cov (success of covariance calculation), rme (root mean square error), modl (vector of model values at given concentrations), parameters values, parameter sd (standard deviation) estimates, pars (vector of parameter names), sds (vector of parameter sd names).

Examples

fitexp5(c(.03,.1,.3,1,3,10,30,100), c(0,0,.1, .2, .5, 1, 1.5, 2))

tcplfit2 documentation built on Oct. 11, 2023, 1:07 a.m.