checknames |
check for valid model terms in a qgcomp fit |
coxmsm.fit |
marginal structural Cox model (MSM) fitting within quantile g-computation |
glance.qgcompfit |
Glance at a qgcompfit object |
metals |
Well water data |
mice.impute.leftcenslognorm |
imputation for limits of detection problems |
modelbound.boot |
estimating qgcomp regression line confidence bounds |
msm.fit |
fitting marginal structural model (MSM) within quantile g-computation |
msm.predict |
secondary prediction method for the (non-survival) qgcomp MSM. |
plot.qgcompfit |
default plotting method for a qgcompfit object |
pointwisebound.boot |
estimating pointwise comparisons for qgcomp.boot objects |
pointwisebound.noboot |
estimating pointwise comparisons for qgcomp.noboot objects |
predict.qgcompfit |
default prediction method for a qgcompfit object (non-survival outcomes only) |
print.qgcompfit |
default printing method for a qgcompfit object |
qgcomp |
quantile g-computation for continuous, binary, count, and censored survival outcomes |
qgcomp.boot |
quantile g-computation for continuous and binary outcomes |
qgcomp.cox.boot |
quantile g-computation for survival outcomes |
qgcomp.cox.noboot |
quantile g-computation for survival outcomes under linearity/additivity |
qgcomp.noboot |
quantile g-computation for continuous, binary, and count outcomes under linearity/additivity |
qgcomp.zi.boot |
quantile g-computation for zero-inflated count outcomes |
qgcomp.zi.noboot |
quantile g-computation for zero-inflated count outcomes under linearity/additivity |
quantize |
quantizing exposure data |
se_comb |
calculate standard error of weighted linear combination of random variables |
tidy.qgcompfit |
Tidy method for qgcompfit object |
vc_comb |
calculate covariance matrix between one random variable and a linear combination of random variables |
zimsm.fit |
secondary prediction method for the (zero-inflated) qgcomp MSM. |
zimsm.fit.control |
control of fitting parameters for zero inflated MSMs |