ef_pearson: Pearson estimating function
In wbonat/mglm4twin: Multivariate Generalized linear Models for Twin Data

ef_pearson

R Documentation

Pearson estimating function

Description

Compute the Pearson estimating function its sensitivity and variability matrices.

Usage

ef_pearson(
  y_vec,
  mu_vec,
  Cfeatures,
  inv_J_beta = NULL,
  D = NULL,
  correct = FALSE,
  compute_variability = FALSE,
  compute_sensitivity = TRUE,
  W
)

Arguments

`y_vec`	A vector.
`mu_vec`	A vector.
`Cfeatures`	A list of matrices.
`inv_J_beta`	A matrix.
`D`	A matrix.
`correct`	Logical.
`compute_variability`	Logical.
`compute_sensitivity`	Logical.
`W`	Matrix of weights.

Details

Compute the Pearson estimating function its sensitivity and variability matrices. For more details see Bonat and Jorgensen (2016) equations 6, 7 and 8.

Value

A list with three components: (i) a vector of quasi-score values, (ii) the sensitivity and (iii) variability matrices associated with the Pearson estimating function.