mc_pearson: Pearson estimating function
In wbonat/mcglm: Multivariate Covariance Generalized Linear Models

Description Usage Arguments Details Value Author(s)

Compute the Pearson estimating function its sensitivity and variability matrices.

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

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

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

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.

Wagner Hugo Bonat

wbonat/mcglm documentation built on June 23, 2020, 11:06 a.m.