check_args_treatment_kernel: Check that data is in right shape and hyparameters are...

In ebenmichael/balancer: Matrix constraints for covariate balance

Check that data is in right shape and hyparameters are feasible

Description

Check that data is in right shape and hyparameters are feasible

Usage

check_args_treatment_kernel(
  X0,
  Xtau,
  target,
  S,
  Z,
  pscores,
  X0s,
  Xtaus,
  nj,
  lambda,
  lowlim,
  uplim,
  data_in
)

Arguments

X0	n x d0 matrix of covariates
Xtau	n x dtau matrix of covariates
target	Vector of population means to re-weight to
S	Vector of group indicators with J levels
Z	Vector of treatment indicators
pscores	Vector of propensity scores
X0s	List of J n x d0 matrices of covariates split by group
Xtaus	List of J n x dtau matrices of covariates split by group
nj	Number of units in jth site
lambda	Regularization hyper parameter
lowlim	Lower limit on weights, default 0
uplim	Upper limit on weights, default 1
data_in	Optional list containing pre-computed objective matrix/vector and constraints (without regularization term)

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