kkholst / targeted

Compare 8cfbfa2 ... +0 ... e6ca493

47.39% 0.00% -0.04%

Overview Diff Coverage Changes Files Commits
Coverage Reach
R/cate.R R/riskreg.R R/RATE.R R/riskreg_cens.R R/ate.R R/cv.R R/calibration.R R/procform.R R/ml_model.R R/NB2.R R/scoring.R R/predict.NB.R R/intsurv.R R/design.R R/NB.R R/cumhaz.R R/expand.list.R R/SL.R R/ode.R R/utils.R R/pava.R R/targeted-methods.R R/predict.density.R R/NB-methods.R R/softmax.R src/target.cpp src/utils.cpp src/nb.cpp src/riskreg_interface.cpp src/glm.cpp src/pava.cpp src/odesolver.cpp src/utils_interface.cpp src/nb_interface.cpp src/ode_interface.cpp inst/include/target/target.hpp inst/include/target/riskreg.hpp inst/include/target/odesolver.hpp inst/include/target/glm.hpp inst/include/targeted_RcppExports.h

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Showing 1 of 1 files from the diff.

@@ -82,10 +82,13 @@
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##' ## a <- riskreg(y ~ a, target=~z, nuisance=~x,  propensity=~x, data=d, type="rr")
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##' a <- riskreg(y ~ a | z, nuisance=~x,  propensity=~x, data=d, type="rr")
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##' a
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##' predict(a, d[1:5,])
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##'
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##' riskreg(y ~ a, nuisance=~x,  data=d, type="rr", mle=TRUE)
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##'
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##'
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##'
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##'
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riskreg <- function(formula,
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             nuisance=~1,
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             propensity=~1,
@@ -356,6 +359,9 @@
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  if (missing(X))
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    X <- with(object, update(des.nuisance, newdata)$x)
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  p <- coef(object)
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  if (tolower(object$estimator)!="mle") {
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    p <- coef(object$mle)
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  }
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  ##nx <- NCOL(object$nuisance$x)
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  ##nz <- NCOL(object$target$x)
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  pz <- p[seq_len(ncol(Z))]

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2 Commits

Klaus K. Holst
47.39% 0.00% -0.04%
use MLE for predictions when estimator='dre'
kkholst
e6ca493
CI Passed
+2
+2
Klaus K. Holst
47.43% 38.46% +0.02%
up
kkholst
8cfbfa2
CI Passed
Files Coverage
R -0.05% 49.05%
inst/include 35.71%
src 43.47%
Project Totals (40 files) 47.39%
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