binaryPGLMM: Phylogenetic GLM for binary data

In arives/rr2: R2s for Regression Models

Phylogenetic GLM for binary data

Description

Fitting phylogenetic generalized linear models for binary data (0 and 1).

Usage

binaryPGLMM(
  formula,
  data = list(),
  phy,
  s2.init = 0.1,
  B.init = NULL,
  tol.pql = 10^-6,
  maxit.pql = 200,
  maxit.reml = 100
)

Arguments

formula	Regression formula.
data	Data frame to fit the model with.
phy	Phylogenetic tree of type phylo with branch lengths.
s2.init	Initial variance values for random terms, default is 0.1.
B.init	Initial coefficient values for fixed terms, if not provided, will use those from lm.
tol.pql	Tolerance value, default is 10^-6.
maxit.pql	The number of iterations, default is 200.
maxit.reml	The number of iterations for optim, default is 100.

Value

A large list with class as binaryPGLMM.

arives/rr2 documentation built on Aug. 20, 2023, 3:24 a.m.