if `y` has no column names, `lm_robust_fit` fails to `tidy`

[lukesonnet]

library(DeclareDesign)
dat <- 
  fabricate(N = 100, 
            Z = complete_ra(N),
            Y = .9 * X + .2 * Z + rnorm(N))
fit <- 
lm_robust_fit(
  y = dat$Y,
  X = matrix(dat$Z),
  weights = NULL,
  ci = FALSE,
  cluster = NULL,
  alpha = 0.05,
  se_type = "none",
  return_vcov = FALSE,
  try_cholesky = FALSE,
  has_int = TRUE
)

tidy(fit)

Should force y to have column names and should test S3 methods on lm_robust_fit since it will remain exported.

[nfultz]

lm_robust_fit is not the friendly one iirc - agree that this is low priority - error checking / warnings etc belongs in lm_robust.

To the extent that tidy fails, if there is no colname provided to lm_robust, maybe just set it to Y.

[lukesonnet]

lm_robust assigns a colname via model.matrix, so even if you pass it a matrix with no names it works. It's just lm_robust_fit, and you're correct I just need to set a colname to Y (and Y1, Y2, ... YN if there are N outcomes).