solve_cont_problem: Solve a univariate continuous problem
In MichaelHoltonPrice/yada: Yet Another Demographic Analysis package
Description
Usage
Arguments
Value
Description
Solve the input unaviriate continuous problem by doing a maximum likelihood
fit to find the best parameter vector. A save file is added to the data
directory (data_dir) in .rds format.
Usage
1
solve_cont_problem(data_dir, analysis_name, cont_prob)
Arguments
data_dir
Data directory directory where the solution will be saved
cont_prob
The continuous problem to solve (likely generated by
[build_univariate_cont_problems]
Value
Whether or not the fit succeeded (TRUE or FALSE)
MichaelHoltonPrice/yada documentation built on Sept. 19, 2021, 11:27 p.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.
Description Usage Arguments Value
Description
Solve the input unaviriate continuous problem by doing a maximum likelihood fit to find the best parameter vector. A save file is added to the data directory (data_dir) in .rds format.
Usage
1 | solve_cont_problem(data_dir, analysis_name, cont_prob)
|
Arguments
data_dir |
Data directory directory where the solution will be saved |
cont_prob |
The continuous problem to solve (likely generated by [build_univariate_cont_problems] |
Value
Whether or not the fit succeeded (TRUE or FALSE)
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.