coef_summary: Computes mean and optional quantiles for a coefficient.
In TriDimRegression: Bayesian Statistics for 2D/3D Transformations
coef_summary R Documentation
Computes mean and optional quantiles for a coefficient.
Description
Computes mean and optional quantiles for a coefficient.
Usage
coef_summary(coef_name, coef_matrix, probs)
Arguments
coef_name
String, name of the coefficient.
coef_matrix
Numeric matrix samplesN x 2 or a
numeric vector with length samplesN.
probs
A numeric vector of quantiles to compute.
Value
data.frame with columns "Coef", "Mean", and a column
for each quantile.
Examples
coef_summary("test", c(1, 2, 3), NULL)
TriDimRegression documentation built on Sept. 13, 2023, 5:07 p.m.
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| coef_summary | R Documentation |
Computes mean and optional quantiles for a coefficient.
Description
Computes mean and optional quantiles for a coefficient.
Usage
coef_summary(coef_name, coef_matrix, probs)
Arguments
coef_name |
String, name of the coefficient. |
coef_matrix |
Numeric matrix |
probs |
A numeric vector of quantiles to compute. |
Value
data.frame with columns "Coef", "Mean", and a column for each quantile.
Examples
coef_summary("test", c(1, 2, 3), NULL)
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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