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.ef.covar_delta_method_log_alpha
pyrbit.ef.diagnostics
pyrbit.ef.ef_ddq0_dalpha_dalpha_sample
pyrbit.ef.ef_ddq0_dalpha_dbeta_sample
pyrbit.ef.ef_ddq0_dbeta_dbeta_sample
pyrbit.ef.ef_ddq1_dalpha_dalpha_sample
pyrbit.ef.ef_ddq1_dalpha_dbeta_sample
pyrbit.ef.ef_ddq1_dbeta_dbeta_sample
pyrbit.ef.ef_dq0_dalpha_sample
pyrbit.ef.ef_dq0_dbeta_sample
pyrbit.ef.ef_dq1_dalpha_sample
pyrbit.ef.ef_dq1_dbeta_sample
pyrbit.ef.ef_observed_information_matrix
pyrbit.ef.ef_p0_sample
pyrbit.ef.ef_p1_sample
pyrbit.ef.ef_q0_sample
pyrbit.ef.ef_q1_sample
pyrbit.ef.flatten
flatten()
pyrbit.ef.get_k_delta_schedule
pyrbit.ef.identify_ef_from_recall_sequence
pyrbit.ef.loglogpplot
pyrbit.ef.plot_exponent_scatter
pyrbit.ef.ExponentialForgetting
pyrbit.information
pyrbit.mem_utils
pyrbit.mle_utils
pyrbit.plot_utils
PyRBIT
pyrbit
pyrbit.ef
pyrbit.ef.flatten
View page source
pyrbit.ef.flatten
flatten
(
data
,
schedule
=
None
,
population_model
=
None
,
test_blocks
=
None
,
get_k_delta
=
False
,
replications
=
1
)
[source]