five_optima_posterior_surface: A dataset containing results for reproducing Figure 3 in...
In igbucur/MASSIVE: MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models
Description
A dataset containing results for reproducing Figure 3 in Section 4 of the UAI article.
Usage
1
Format
A list containing all the necessary elements for reproducing the
posterior contour surface in Figure 3.
- optima
List containing the parameters found at each of the five
local optima in list format.
- grid_values
Data frame containing maximum posterior values (z)
computed on a two-dimensional grid (x, y) of values for the scale-free
confounding coefficients (skappa_X, skappa_Y).
- simulation_details
Details of the data and generating model in
the simulation.
igbucur/MASSIVE documentation built on Oct. 26, 2020, 1:26 a.m.
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Description
A dataset containing results for reproducing Figure 3 in Section 4 of the UAI article.
Usage
1 |
Format
A list containing all the necessary elements for reproducing the posterior contour surface in Figure 3.
- optima
List containing the parameters found at each of the five local optima in list format.
- grid_values
Data frame containing maximum posterior values (z) computed on a two-dimensional grid (x, y) of values for the scale-free confounding coefficients (skappa_X, skappa_Y).
- simulation_details
Details of the data and generating model in the simulation.
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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