PyRBIT
See also
Home page
Exponential Forgetting Model
ACT-R Model
Memory Utilities
Evaluating the informativeness of a schedule
Comparing block recall percentages, power analysis
API reference
pyrbit.abc
pyrbit.actr
pyrbit.design
pyrbit.ef
pyrbit.information
pyrbit.information.compute_full_observed_information
compute_full_observed_information()
pyrbit.information.compute_observed_information
pyrbit.information.gen_hessians
pyrbit.information.get_cumulative_J_for_sequence
pyrbit.information.get_sample_J_for_sequence
pyrbit.information.get_sample_observed_information
pyrbit.information.get_sample_score
pyrbit.information.get_sample_score_variance_for_sequence
pyrbit.mem_utils
pyrbit.mle_utils
pyrbit.plot_utils
PyRBIT
pyrbit
pyrbit.information
pyrbit.information.compute_full_observed_information
View page source
pyrbit.information.compute_full_observed_information
compute_full_observed_information
(
TRUE_VALUE
,
recall_array
,
observed_hessians
,
estimated_parameters
,
subsample_sequence
,
axs
=
None
,
recall_kwargs
=
None
,
observed_information_kwargs
=
None
,
bias_kwargs
=
None
,
std_kwargs
=
None
)
[source]
recall_array.shape = (REPET, N)