economic_growth_ms_full_proj_const | R Documentation |
A matrix representing the model space built using all regressors from
the economic_growth
dataset. Therefore the model space contains
2^9 = 512
models (columns). The same projection matrix is used for
each model.
economic_growth_ms_full_proj_const
economic_growth_ms_full_proj_const
A double matrix with 106 rows and 512 columns.
TODO: to avoid NaNs when computing estimates of standard deviations, the step size in the hessian function has to be increased to 1e-2. This is most likely cause by the fact that the likelihood values are much closer to each other after the correction for the projection matrix is introduced. Hence we have to either increase the relative tolerance of the optimization algorithm or loosen the precision when computing approximate hessian.
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