cluster_weights: Re-weight groups to target population means

In ebenmichael/balancer: Matrix constraints for covariate balance

Re-weight groups to target population means

Description

Re-weight groups to target population means

Usage

cluster_weights(
  ind_covs,
  clus_covs,
  trt,
  clusters,
  lambda = 0,
  icc = 0,
  lowlim = 0,
  uplim = 1,
  verbose = TRUE,
  eps_abs = 1e-05,
  eps_rel = 1e-05,
  ...
)

Arguments

ind_covs	n x d1 matrix of covariates for individual units
clus_covs	n x d2 matrix of covariates for clusters
trt	n vector of treatment assignment
clusters	n vector of cluster assignments
lambda	Regularization hyper parameter, default 0
icc	Intraclass correlation coefficient for regularization
lowlim	Lower limit on weights, default 0
uplim	Upper limit on weights, default 1
verbose	Whether to show messages, default T
eps_abs	Absolute error tolerance for solver
eps_rel	Relative error tolerance for solver
...	Extra arguments for osqp solver

Value

• weights Estimated primal weights

• ind_imbalance Imbalance in individual-level covariates covariates

• clus_imbalance Imbalance in cluster-level covariates covariates

ebenmichael/balancer documentation built on Jan. 17, 2024, 2:56 p.m.