| optim_model_space_params | R Documentation | 
Given a dataset and an initial value for parameters, initializes a model space with parameters equal to the initial value for each model. Then for each model performs a numerical optimization and finds parameters which maximize the likelihood.
optim_model_space_params(
  df,
  timestamp_col,
  entity_col,
  dep_var_col,
  init_value,
  exact_value = FALSE,
  cl = NULL,
  control = list(trace = 0, maxit = 10000, fnscale = -1, REPORT = 100, scale = 0.05)
)
| df | Data frame with data for the analysis. | 
| timestamp_col | The name of the column with time stamps. | 
| entity_col | Column with entities (e.g. countries). | 
| dep_var_col | Column with the dependent variable. | 
| init_value | The value with which the model space will be initialized. This will be the starting point for the numerical optimization. | 
| exact_value | Whether the exact value of the likelihood should be
computed ( | 
| cl | An optional cluster object. If supplied, the function will use this
cluster for parallel processing. If  | 
| control | a list of control parameters for the optimization which are
passed to optim. Default is
 | 
List (or matrix) of parameters describing analyzed models.
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