cappedLogit_ztbinom: Fitting an empirical logistic spline curve for detection...

In Mengbo-Li/protDP: Estimation of the Detection Probability Curve in Label Free Shotgun Proteomics Data

Fitting an empirical logistic spline curve for detection proportion with capped probabilities

Description

Fitting an empirical logistic spline curve for detection proportion with capped probabilities

Usage

cappedLogit_ztbinom(
  dp,
  X,
  wt,
  alpha0 = 0.8,
  beta0,
  maxit = 100,
  trace = TRUE,
  eps = 1e-04
)

Arguments

dp	A vector of detection proportion in all precursors.
X	The basis matrix for a natural cubic spline.
wt	A vector of the numbers of trials (samples size) for zero-truncated binomial distribution.
alpha0	A start value for alpha.
beta0	Start values for the beta coefficients.
maxit	Maximum number of iterations.
trace	Logical. Whether to print out alpha estimates at each iteration.
eps	Convergence tolerance.

Value

Fitted parameters and the fitting history.

Examples

## See the vignettes.

Mengbo-Li/protDP documentation built on Oct. 26, 2023, 9:50 p.m.