Index A | B | C | D | E | F | G | H | I | K | L | M | N | O | P | Q | R | S | T | U | V | W A add_offset() (in module cpm.models.kernels) AIC() (PenalisedLikelihoods static method) B Bads (class in cpm.optimisation) bernoulli() (LogLikelihood static method) BIC() (PenalisedLikelihoods static method) bin_ratings() (in module cpm.utils.metad) bounds() (LogParameters method) (Parameters method) C categorical() (LogLikelihood static method) check_convergence() (VariationalBayes method) ChiSquare() (Discrete static method) choice() (GreedyRule method) (Sigmoid method) (Softmax method) choice_kernel() (in module cpm.models.kernels) ChoiceKernel (class in cpm.models.decision) choose() (in module cpm.models.kernels) clean_data() (MilkyWay method) (Scavenger method) (SpaceObserver method) (TreasureHunt method) combine_lists() (in module cpm.utils.data) competitive_gating() (in module cpm.models.kernels) CompetitiveGating (class in cpm.models.activation) compute() (CompetitiveGating method) (DeltaRule method) (GreedyRule method) (HumbleTeacher method) (Offset method) (ProspectUtility method) (QLearningRule method) (RapidAttentionShift method) (SARSATrace method) (SeparableRule method) (Sigmoid method) (SigmoidActivation method) (Softmax method) config() (GreedyRule method) connector() (Wrapper method) continuous() (LogLikelihood static method) convert_to_PTSM() (in module cpm.utils.data) convert_to_RLRW() (in module cpm.utils.data) copy() (Value method) count_trials() (in module cpm.utils.metad) cpm.models.kernels module CrossEntropy() (in module cpm.optimisation.minimise) D delta_rule() (in module cpm.models.kernels) DeltaRule (class in cpm.models.learning) diagnostics() (EmpiricalBayes method) (VariationalBayes method) difference_metrics() (MilkyWay method) DifferentialEvolution (class in cpm.optimisation) Discrete (class in cpm.optimisation.minimise) Distance (class in cpm.optimisation.minimise) E EmpiricalBayes (class in cpm.hierarchical) EstimatorMetaD (class in cpm.applications.signal_detection) expected_utility() (in module cpm.models.kernels) export() (Bads method) (DifferentialEvolution method) (EstimatorMetaD method) (Fmin method) (FminBound method) (Minimize method) (Parameters method) (SessionWrapper method) (Simulator method) (Wrapper method) F fill() (Value method) fit_metad() (in module cpm.applications.signal_detection) Fmin (class in cpm.optimisation) FminBound (class in cpm.optimisation) free() (Parameters method) G G2() (Discrete static method) gate() (in module cpm.models.kernels) gating_gain() (in module cpm.models.kernels) generate() (Simulator method) get_codebook() (MilkyWay method) (Scavenger method) (SpaceObserver method) (TreasureHunt method) get_lme() (VariationalBayes method) greedy() (in module cpm.models.kernels) GreedyRule (class in cpm.models.decision) H humble_teacher() (in module cpm.models.kernels) humble_teacher_change() (in module cpm.models.kernels) HumbleTeacher (class in cpm.models.learning) HybridMBMF (class in cpm.applications.reinforcement_learning) I irreducible_noise() (in module cpm.models.kernels) (Softmax method) K keys() (Parameters method) L load_bandit_data() (in module cpm.datasets) load_blocking_data() (in module cpm.datasets) load_csv() (in module cpm.datasets) load_metacognition_data() (in module cpm.datasets) load_model_based_model_free() (in module cpm.datasets) load_risky_choices() (in module cpm.datasets) load_two_step_data() (in module cpm.datasets) log_inverse_transform() (LogParameters method) log_softmax() (in module cpm.models.kernels) log_transform() (LogParameters method) logistic() (in module cpm.models.kernels) LogLikelihood (class in cpm.optimisation.minimise) LogParameters (class in cpm.generators) M metad_nll() (in module cpm.applications.signal_detection) metrics() (MilkyWay method) (Scavenger method) (SpaceObserver method) (TreasureHunt method) MilkyWay (class in cpm.brainexplorer.bandits) Minimize (class in cpm.optimisation) module cpm.models.kernels MSE() (Distance static method) multinomial() (LogLikelihood static method) N noisy_learning_rule() (DeltaRule method) (SeparableRule method) Nominal() (in module cpm.models.utils) O Offset (class in cpm.models.activation) offset() (in module cpm.models.kernels) optimise() (Bads method) (DifferentialEvolution method) (EmpiricalBayes method) (EstimatorMetaD method) (Fmin method) (FminBound method) (Minimize method) (VariationalBayes method) P p_second() (in module cpm.models.kernels) Parameters (class in cpm.generators) parameters() (EmpiricalBayes method) PDF() (Parameters method) (Value method) PenalisedLikelihoods (class in cpm.optimisation.compare) product() (LogLikelihood static method) prospect_utility() (in module cpm.models.kernels) prospect_weight() (in module cpm.models.kernels) ProspectUtility (class in cpm.models.activation) PTSM (class in cpm.applications.decision_making) PTSM1992 (class in cpm.applications.decision_making) PTSM2025 (class in cpm.applications.decision_making) Q q_learning() (in module cpm.models.kernels) QLearningRule (class in cpm.models.learning) R rapid_attention_shift() (in module cpm.models.kernels) RapidAttentionShift (class in cpm.models.attention) reset() (Bads method) (DeltaRule method) (DifferentialEvolution method) (Fmin method) (FminBound method) (Minimize method) (SeparableRule method) (SessionWrapper method) (Simulator method) (Wrapper method) RLRW (class in cpm.applications.reinforcement_learning) RMSE() (Distance static method) run() (SessionWrapper method) (Simulator method) (Wrapper method) run_vb() (VariationalBayes method) S sample() (Parameters method) (Value method) sarsa_trace() (in module cpm.models.kernels) sarsa_trace_update() (in module cpm.models.kernels) SARSATrace (class in cpm.models.learning) save() (Simulator method) (Wrapper method) Scavenger (class in cpm.brainexplorer.risky_decision_making) separable_rule() (in module cpm.models.kernels) SeparableRule (class in cpm.models.learning) session (SessionWrapper property) SessionWrapper (class in cpm.generators) Sigmoid (class in cpm.models.decision) sigmoid() (in module cpm.models.kernels) sigmoid_activation() (in module cpm.models.kernels) SigmoidActivation (class in cpm.models.activation) simulation (SessionWrapper property) Simulator (class in cpm.generators) Softmax (class in cpm.models.decision) softmax() (in module cpm.models.kernels) softmax_noise() (in module cpm.models.kernels) SpaceObserver (class in cpm.brainexplorer.perceptual_decision_making) SSE() (Distance static method) stair() (EmpiricalBayes method) T TreasureHunt (class in cpm.brainexplorer.information_gathering) ttest() (VariationalBayes method) U update() (LogParameters method) (Parameters method) (Simulator method) update_population() (VariationalBayes method) update_prior() (Parameters method) (Value method) V Value (class in cpm.generators) VariationalBayes (class in cpm.hierarchical) W weight_gw() (in module cpm.models.kernels) weight_power() (in module cpm.models.kernels) weight_prelec() (in module cpm.models.kernels) weight_tk() (in module cpm.models.kernels) Wrapper (class in cpm.generators)
