@osofr Hi
I would greatly appreciate if you could let me know whether your code is suitable for my data set which is as follows. In fact, it is an unbalanced longitudinal data set with time varying features. I want to predict RE to CS using x1 to x5 features.
ID year RE to CS x1 x2 x3 x4 x5
1 1 0.06039 1.28102412 0.022933584 0.87453816 1.216366609 0.06094049
1 2 0.01064 1.270012471 0.00645422 0.820672937 1.004861122 -0.014079609
1 3 -0.45597 1.052890304 -0.059378881 0.922421512 0.729264145 0.020475912
1 4 -0.32539 1.113115232 -0.01522879 0.858878436 0.809737564 0.07603735
1 5 -0.56657 1.219644234 -0.058675441 0.887087711 0.484342194 0.009777888
2 1 1.25097 1.06226374 0.107020836 0.814602294 0.835928139 0.19996023
2 2 1.35725 1.055785531 0.081916221 0.879486383 0.686727862 0.142627013
2 3 0.00719 0.970588058 0.076063501 0.906774596 0.809795658 0.165915285
2 4 1.20019 1.058995743 0.130202682 0.818111675 0.875989179 0.23445163
2 5 2.23481 1.12452475 0.147841049 0.758709609 1.079924775 0.276444488
2 6 1.34048 1.599780804 0.262461269 0.546150712 1.312740749 0.369478637
2 7 2.04740 1.575608388 0.262096474 0.564481097 1.156476191 0.3486243
2 8 2.34589 1.544272968 0.240910847 0.590728825 1.076969981 0.325612011
2 9 2.24994 1.721707641 0.215246493 0.552290866 0.841010871 0.293499528
2 10 2.28261 1.723163256 0.208630134 0.533981319 0.786512171 0.293033271
2 11 1.79821 1.630677468 0.186234679 0.547718673 0.728193067 0.273576931
2 12 2.82772 2.17231306 0.319454809 0.441392998 0.94698478 0.427395498
3 1 -0.30317 0.874395008 -0.034676249 0.79350188 0.609515013 -0.002631637
3 2 -1.65989 0.825239215 -0.14194334 0.952212806 0.572879612 -0.019154984
``
`Best regards,
@osofr Hi
I would greatly appreciate if you could let me know whether your code is suitable for my data set which is as follows. In fact, it is an unbalanced longitudinal data set with time varying features. I want to predict RE to CS using x1 to x5 features.