lm_robust_fit: Internal method that creates linear fits

Description Usage Arguments

View source: R/lm_robust_fit.R

Description

Internal method that creates linear fits

Usage

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lm_robust_fit(y, X, weights, cluster, ci, se_type, alpha, coefficient_name,
  return_vcov, try_cholesky)

Arguments

y

numeric outcome vector

X

numeric design matrix

weights

numeric weights vector

cluster

numeric cluster vector

ci

boolean that when T returns confidence intervals and p-values

se_type

character denoting which kind of SEs to return

alpha

numeric denoting the test size for confidence intervals

coefficient_name

character vector of coefficients to return

return_vcov

a boolean for whether to return the vcov matrix for later usage

try_cholesky

a boolean for whether to try using a cholesky decomposition to solve LS instead of a QR decomposition


DeclareDesign/DDestimate documentation built on Jan. 13, 2018, 2:19 a.m.