hypothesis_df: brmsMethod: hypothesis_df
In joshuakrobertson/brmsMethods: What the Package Does (One Line, Title Case)
Description
Evaluate a non-linear hypothesis using Savage-Dickey method with data frame.
Usage
1
hypothesis_df(h, x, class = "b", alpha, name = NULL)
Arguments
h
A hypothesis to evaluate, in string form.
x
A data frame containing necessary values for hypothesis to be evaluated. Note that this dataframe must contain both prior data and true data for evaluation to be effective.
class
The class of predictors with which the hypothesis will evaluate. Default is b.
alpha
Alpha values used for hypothesis test.
joshuakrobertson/brmsMethods documentation built on Aug. 18, 2020, 1:24 p.m.
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Description
Evaluate a non-linear hypothesis using Savage-Dickey method with data frame.
Usage
1 | hypothesis_df(h, x, class = "b", alpha, name = NULL)
|
Arguments
h |
A hypothesis to evaluate, in string form. |
x |
A data frame containing necessary values for hypothesis to be evaluated. Note that this dataframe must contain both prior data and true data for evaluation to be effective. |
class |
The class of predictors with which the hypothesis will evaluate. Default is b. |
alpha |
Alpha values used for hypothesis test. |
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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