transform_params_logistic: Parameter logistic/exp transform function
In jameshay218/mcmcJH: Generic random walk MCMC algorithm for parameter inference
Description
Usage
Arguments
Value
See Also
View source: R/helper_functions.R
Description
Takes a list of parameters and table of parameter bounds. Idea is to convert all parameters from log/specified logit scale to normal scale (-Inf to +Inf).
Table should have four columns: use_logistic, use_log, lower_bound, and upper_bound.
Usage
1
transform_params_logistic(params, param_table)
Arguments
params
vector of parameters to be transformed
param_table
a matrix of boolean flags and bounds
Value
a vector of the transformed parameters
See Also
param_check, transform_params_logit
jameshay218/mcmcJH documentation built on May 18, 2019, 11:20 a.m.
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Description Usage Arguments Value See Also
View source: R/helper_functions.R
Description
Takes a list of parameters and table of parameter bounds. Idea is to convert all parameters from log/specified logit scale to normal scale (-Inf to +Inf). Table should have four columns: use_logistic, use_log, lower_bound, and upper_bound.
Usage
1 | transform_params_logistic(params, param_table)
|
Arguments
params |
vector of parameters to be transformed |
param_table |
a matrix of boolean flags and bounds |
Value
a vector of the transformed parameters
See Also
param_check, transform_params_logit
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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