tidyDegroot: Converts predictions from degroot into a tidy dataset
In jcfisher/latentnetDiffusion: Runs latent space diffusion model (ALPHA TESTING VERSION)
Description
Usage
Arguments
Value
Note
Description
Converts predictions from degroot into a tidy dataset
Usage
1
tidyDegroot(pred, id)
Arguments
pred:
a matrix of predictions
id:
a vector whose length is nrow(pred) that gives ID values for pred.
IF it is missing, it will be set to 1:nrow(pred)
Value
A tibble (i.e., a data.frame) with 3 columns: an id column (id),
a column for the predicted value from the simulation, and a value for the
number of iterations, and a column for the number of draws
Note
This function is in beta, please use with caution! It also involves
loading several other dependencies, which isn't ideal.
jcfisher/latentnetDiffusion documentation built on May 20, 2019, 5:26 p.m.
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Description Usage Arguments Value Note
Description
Converts predictions from degroot into a tidy dataset
Usage
1 | tidyDegroot(pred, id)
|
Arguments
pred: |
a matrix of predictions |
id: |
a vector whose length is nrow(pred) that gives ID values for pred. IF it is missing, it will be set to 1:nrow(pred) |
Value
A tibble (i.e., a data.frame) with 3 columns: an id column (id), a column for the predicted value from the simulation, and a value for the number of iterations, and a column for the number of draws
Note
This function is in beta, please use with caution! It also involves loading several other dependencies, which isn't ideal.
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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