Latex regression table from splm

Question

I would like to know what is the easiest way to deliver regression output (splm object) to TeX. Stargazer, texreg, latex does not recognize this type of object, so the table must be executed manually. I already put the coefficients and standard errors in the matrix (standard error below) as follows (each column is different from the other):

[,1] [,2] [,3] [,4] [,5] [,6] lambda -0.550153770 -0.606755198 -1.0894505645 0.703821961 -0.560769652 -0.698232106 0.056878033 0.056878033 0.0568780329 0.056878033 0.056878033 0.056878033 rho 0.571742772 0.618236404 0.7365074175 -1.017060680 0.745559212 0.733598140 0.034064728 0.034064728 0.0340647282 0.034064728 0.034064728 0.034064728 

However, I don’t know how to put stars in this matrix (if they are in a vector), brackets for standard errors, and finally put this matrix in TeX, including the names of rosers.

Answer 1

This is not an ideal answer, but you can connect something.

  smry <- summary(splm_lag) pander(data.frame(R.Square = smry$rsqr)) pander(smry$CoefTable) ---------- R.Square ---------- 0.9161 ---------- ----------------------------------------------------------------------- &nbsp; Estimate Std. Error t-value Pr(>|t|) -------------------------- ---------- ------------ --------- ---------- **lambda** 0.574 0.05808 9.883 4.943e-23 **PC1** -0.06165 0.03741 -1.648 0.09931 **PC2** 0.05824 0.02296 2.537 0.01118 **PC3** 0.02966 0.01937 1.531 0.1258 **PC4** -0.04165 0.02289 -1.82 0.06879 **I(as.numeric(years))** 0.03059 0.00939 3.258 0.001122 -----------------------------------------------------------------------