weighted_kernel_est: Calculation of weighted nonparametric regression estimate of...
In independenceWeights: Estimates Weights for Confounding Control for Continuous-Valued Exposures
weighted_kernel_est R Documentation
Calculation of weighted nonparametric regression estimate of the dose response function
Description
Calculates weighted nonparametric regression estimate of the causal average dose response function
Usage
weighted_kernel_est(A, y, weights, Aseq)
Arguments
A
vector indicating the value of the treatment or exposure variable. Should be a numeric vector.
y
vector of responses
weights
a vector of sample weights of length equal to the length of y
Aseq
a vector of new points for which to obtain estimates of E(Y(a))
Value
A list with the following elements
fit
A fitted model object from the lp function
estimated
a vector of estimates of a causal ADRF at the values of the treatment specified by Aseq
independenceWeights documentation built on May 10, 2022, 5:11 p.m.
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| weighted_kernel_est | R Documentation |
Calculation of weighted nonparametric regression estimate of the dose response function
Description
Calculates weighted nonparametric regression estimate of the causal average dose response function
Usage
weighted_kernel_est(A, y, weights, Aseq)
Arguments
A |
vector indicating the value of the treatment or exposure variable. Should be a numeric vector. |
y |
vector of responses |
weights |
a vector of sample weights of length equal to the length of |
Aseq |
a vector of new points for which to obtain estimates of E(Y(a)) |
Value
A list with the following elements
fit |
A fitted model object from the |
estimated |
a vector of estimates of a causal ADRF at the values of the treatment specified by |
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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