logit_integrand: Default integrand for the group-level propensity score
In inferference: Methods for Causal Inference with Interference

logit_integrand

R Documentation

Default integrand for the group-level propensity score

Description

Computes the following function:

\prod_{j=1}^{n} (r h_{j}(b))^{A_j} (1 - r h_{j}(b))^{1 - A_j} f_b(b; \theta_b)

where r is the randomization scheme. X is the covariate(s) vectors. fixef is the vector of fixed effects. b is the random (group-level) effect. ranef is the random effect variance.

Usage

logit_integrand(b, X, A, parameters, allocation = A, randomization = 1)

Arguments

`b`	vector argument of values necessary for `integrate`.
`X`	n by length(fixed effects) matrix of covariates.
`A`	vector of binary treatments
`parameters`	vector of fixed effect (and random effect if applicable). Random effect should be last element in vector.
`allocation`	The allocation strategy. Defaults to A so that is essentially ignored if allocation is not set to a value within (0, 1).
`randomization`	Randomization probability. Defaults to 1.