standardize_indirect_z | R Documentation |
Re-weight population to group z's target
standardize_indirect_z(
focal_z,
X,
Z,
lambda = 0,
lowlim = 0,
uplim = 1,
scale_sample_size = F,
verbose = TRUE,
eps_abs = 1e-05,
eps_rel = 1e-05,
...
)
focal_z |
Group to use as target |
X |
n x d matrix of covariates |
Z |
Vector of group indicators with J levels |
lambda |
Regularization hyper parameter, default 0 |
lowlim |
Lower limit on weights, default 0 |
uplim |
Upper limit on weights, default 1 |
scale_sample_size |
Whether to scale the dispersion penalty by the sample size of each group, default T |
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 as an n x J matrix
imbalance Imbalance in covariates as a d X J matrix
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