View source: R/clustered_weights.R
cluster_weights | R Documentation |
Re-weight groups to target population means
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,
...
)
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 |
weights Estimated primal weights
ind_imbalance Imbalance in individual-level covariates covariates
clus_imbalance Imbalance in cluster-level covariates covariates
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