RR
can be used to calculate the causal risk ratio of a binary/continuous/discrete endogenous predictor/treatment, with
corresponding interval obtained using posterior simulation.
1 2 3 4 5 
x 
A fitted 
nm.end 
Name of the endogenous variable. 
E 
If 
treat 
If 
type 
This argument can take three values: 
ind 
Binary logical variable. It can be used to calculate the RR for a subset of the data. Note that it does not make sense to use 
n.sim 
Number of simulated coefficient vectors from the posterior distribution of the estimated model parameters. This is used
when 
prob.lev 
Overall probability of the left and right tails of the RR distribution used for interval calculations. 
length.out 
Ddesired length of the sequence to be used when calculating the effect that a continuous/discrete treatment has on a binary outcome. 
hd.plot 
If 
rr.plot 
For the case of continuous/discrete endogenous variable and binary outcome, if 
main 
Title for the plot. 
xlab 
Title for the x axis. 
... 
Other graphics parameters to pass on to plotting commands. These are used only when 
RR calculates the causal risk ratio of the probabilities of positive outcome under treatment (the binary predictor or treatment assumes value 1) and under control (the binary treatment assumes value 0). Posterior simulation is used to obtain a confidence/credible interval.
RR works also for the case of continuous/discrete endogenous treatment variable.
prob.lev 
Probability level used. 
sim.RR 
It returns a vector containing simulated values of the average RR. This is used to calculate intervals. 
Ratios 
For the case of continuous/discrete endogenous variable and binary outcome, it returns a matrix made up of three columns containing the risk ratios for each incremental value in the endogenous variable and respective intervals. 
Maintainer: Giampiero Marra giampiero.marra@ucl.ac.uk
SemiParBIVProbitpackage
, SemiParBIVProbit
, copulaReg
1  ## see examples for SemiParBIVProbit and copulaReg

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
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