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I loaded the package from Github (as not currently on CRAN) and the version is 0.1.9. For the function tmlenet, there are warnings when using IDnode and NETIDnode. The function runs without the warning if I use NETIDmat.
Warning messages:
1: In [.data.table(OdataDT_R6$OdataDT, , :=(NETIDnode, NULL)) :
Column 'NETIDnode' does not exist to remove
2: In [.data.table(OdataDT_R6$OdataDT, , :=(IDnode, NULL)) :
Column 'IDnode' does not exist to remove
For this call below (from '1_tmlenet_example.R'), produces warnings (7 total). One of the variables may be a constant, or input variables are not independent (need to check this).
I loaded the package from Github (as not currently on CRAN) and the version is 0.1.9. For the function tmlenet, there are warnings when using IDnode and NETIDnode. The function runs without the warning if I use NETIDmat.
Warning messages:
1: In
[.data.table
(OdataDT_R6$OdataDT, ,:=
(NETIDnode, NULL)) :Column 'NETIDnode' does not exist to remove
2: In
[.data.table
(OdataDT_R6$OdataDT, ,:=
(IDnode, NULL)) :Column 'IDnode' does not exist to remove
For this call below (from '1_tmlenet_example.R'), produces warnings (7 total). One of the variables may be a constant, or input variables are not independent (need to check this).
res_K6_1 <- tmlenet(data = df_netKmax6, Kmax = Kmax, sW = sW, sA = sA,
intervene1.sA = def_new_sA(A = 0L),
# Anodes = "A", f_gstar1 = 0L,
Qform = "Y ~ sum.netW3 + sum.netAW2",
hform.g0 = "netA ~ netW2 + sum.netW3 + nF",
hform.gstar = "netA ~ sum.netW3",
NETIDmat = NetInd_mat_Kmax6 )
Warning messages:
1: In chol.default(B, pivot = TRUE) :
the matrix is either rank-deficient or not positive definite
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