Bug with matrix of logical values on rhs of feols estimation

[SebKrantz]

library(collapse)
library(fixest)

# This creates a lag-matrix of a logical variable
with(mtcars, L(as.logical(vs), 1:2))
#>          L1    L2
#>  [1,]    NA    NA
#>  [2,] FALSE    NA
#>  [3,] FALSE FALSE
#>  [4,]  TRUE FALSE
#>  [5,]  TRUE  TRUE
#>  [6,] FALSE  TRUE
#>  [7,]  TRUE FALSE

# This gives a bug
feols(mpg ~ L(as.logical(vs), 1:2) | cyl, mtcars)
#> NOTE: 2 observations removed because of NA values (RHS: 2).
#> Error in cpp_demean(y, X, weights, iterMax = fixef.iter, diffMax = fixef.tol, : The current SEXP type is not supported by the sMat class.

# Works with numeric data
feols(mpg ~ L(vs, 1:2) | cyl, mtcars)
#> NOTE: 2 observations removed because of NA values (RHS: 2).
#> OLS estimation, Dep. Var.: mpg
#> Observations: 30 
#> Fixed-effects: cyl: 3
#> Standard-errors: Clustered (cyl) 
#>              Estimate Std. Error t value Pr(>|t|)    
#> L(vs, 1:2)L1 0.829345   0.275969 3.00521 0.095181 .  
#> L(vs, 1:2)L2 1.243851   0.747170 1.66475 0.237875    
#> ---
#> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#> RMSE: 3.05353     Adj. R2: 0.711392
#>                 Within R2: 0.057662

feols(mpg ~ L(as.integer(vs), 1:2) | cyl, mtcars)
#> NOTE: 2 observations removed because of NA values (RHS: 2).
#> OLS estimation, Dep. Var.: mpg
#> Observations: 30 
#> Fixed-effects: cyl: 3
#> Standard-errors: Clustered (cyl) 
#>                          Estimate Std. Error t value Pr(>|t|)    
#> L(as.integer(vs), 1:2)L1 0.829345   0.275969 3.00521 0.095181 .  
#> L(as.integer(vs), 1:2)L2 1.243851   0.747170 1.66475 0.237875    
#> ---
#> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
#> RMSE: 3.05353     Adj. R2: 0.711392
#>                 Within R2: 0.057662

^{Created on 2022-05-18 by the reprex package (v2.0.1)}