getEtas: Construct ingredients for probability calculation.

In oglmx: Estimation of Ordered Generalized Linear Models

Description

The probability of a particular outcome j for observation i is given by:

F((α_(j+1)-xβ)/g(zδ))-F((α_(j+1)-xβ)/g(zδ))

where F is the link function, the αs refer to threshold values and g is the function that describes the model for the variance. This function calculates the two inputs to the link function in the above expression given precalculated values of the mean of the latent variable given parameters and the standard deviation given parameters.

Usage

getEtas(thresholds,xb,std.dev)

getEtas.Exp(thresholds,xb_matrix,sd_matrix)

Arguments

thresholds	Numeric matrix of dimension (number of observations * 2). Columns refer to the right and left threshold corresponding to the desired outcome.
xb, xb_matrix	Numeric vector/matrix of expected values of the latent variable.
std.dev, sd_matrix	Numeric vector/matrix of standard deviations of the error term given variables.

Value

eta_1	Numeric vector/matrix corresponding to the right threshold.
eta_0	Numeric vector/matrix corresponding to the left threshold.

Author(s)

Nathan Carroll, [e-mail]

See Also

oglmx

oglmx documentation built on May 2, 2019, 5:14 a.m.