Predict_status: Predict Status for new data with pre-existing model
In Best-Nicklas/Dataprojekt: Simulation and Analysis of Genetic Data
View source: R/Predict_status.R
Predict_status R Documentation
Predict Status for new data with pre-existing model
Description
This function is used to predict the status of one or more new persons.
Usage
Predict_status(rds.obj, model, configs = NULL, prevalence)
Arguments
rds.obj
A rds object containing an FBM.code256.
model
A model to use for predicting.
configs
A data frame with configurations and their liabilities. Only used for LTFH.
prevalence
The likelihood of having the disease in the population.
Value
A vector of 1's and 0's indicating predicted status.
Best-Nicklas/Dataprojekt documentation built on June 7, 2022, 12:08 a.m.
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.
View source: R/Predict_status.R
| Predict_status | R Documentation |
Predict Status for new data with pre-existing model
Description
This function is used to predict the status of one or more new persons.
Usage
Predict_status(rds.obj, model, configs = NULL, prevalence)
Arguments
rds.obj |
A rds object containing an FBM.code256. |
model |
A model to use for predicting. |
configs |
A data frame with configurations and their liabilities. Only used for LTFH. |
prevalence |
The likelihood of having the disease in the population. |
Value
A vector of 1's and 0's indicating predicted status.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.