logit_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

Description

Fitting an empirical logistic spline curve for detection proportion

Usage

logit_ztbinom(dp, X, wt, beta0, b0.upper = 0, b1.upper = Inf)

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.
beta0	Start values for the beta coefficients.
b0.upper	Upper bound for b0.
b1.upper	Upper bound for b1.

Value

Fitted beta coefficients and the fitting history.

Examples

## See the vignettes.

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