MLE.se.logitp: Take a series of Poisson count signals x, with data on...

In shimlab/HMTree: Hidden Markov tree prior for analysis of multiple functional data

Description

Take a series of Poisson count signals x, with data on different samples in each row, and compute estimate for logit(p) and its standard error optionally estimate the "effect" of a covariate g if g is provided.

Usage

MLE.se.logitp(x, g = NULL, reflect = FALSE, minobs = 1,
  pseudocounts = 0.5, all = FALSE, center = FALSE, repara = TRUE,
  forcebin = FALSE, lm.approx = TRUE, disp = "add")

shimlab/HMTree documentation built on May 29, 2019, 9:25 p.m.