monotone_bart: Monotone Bart
In demetrios1/Causallysensitive: What the Package Does (One Line, Title Case)
monotone_bart R Documentation
Monotone Bart
Description
Implements bart with a monotonicity constraint, i.e. $b_1(x)> b_0(x)$
Arguments
y
observed outputs
z
1 if y==0, 0 o.w.
x
Dataframe of covariates
xpred
Dataframe of covariates we predict on (the test set)
nskip
Number of burn in draws
ndpost
Number of posterior draws we keep
m
Number of trees
n
Number of observations
Examples
monotone_bart()
demetrios1/Causallysensitive documentation built on Nov. 18, 2022, 5:27 p.m.
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| monotone_bart | R Documentation |
Monotone Bart
Description
Implements bart with a monotonicity constraint, i.e. $b_1(x)> b_0(x)$
Arguments
y |
observed outputs |
z |
1 if y==0, 0 o.w. |
x |
Dataframe of covariates |
xpred |
Dataframe of covariates we predict on (the test set) |
nskip |
Number of burn in draws |
ndpost |
Number of posterior draws we keep |
m |
Number of trees |
n |
Number of observations |
Examples
monotone_bart()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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