Package index • acir

Assimilation and the causal measure

aci_range(): Causal influence range
aci_conditional(): Conditional ACI specification
aci_conditional_reduce(): Reduce a model by prescribing the conditioning channels
lag_table(): Finite-lag divergence table
lt_diag(): Diagonal of a lag table
lt_row(): One row of a lag table
lt_tail_bound(): Heuristic tail estimate of a lag table

aci_model(): Conditional-Gaussian nonlinear system
aci_model_from_affine(): CGNS model from an affine-in-hidden drift pair
aci_linear_model(): Conditionally linear model from constant coefficients
aci_dyad_model(): Nonlinear dyad (andreou2026aci eq. 1-2)
aci_predprey_model(): Noisy predator-prey benchmark model
aci_enso_model(): Six-variable stochastic conceptual ENSO model (andreou2026aci SI via chen2022enso eqs. 1a-1f).
aci_simulate(): Simulate a path from a model
as_obs(): Coerce to an observed trajectory
observed_trajectory(): Observed trajectory on a uniform time grid

safe_chol(): Cholesky with escalating jitter ladder
spd_floor(): Project to SPD by eigenvalue flooring (used after Euler covariance updates)

Print, plot, coercion and simulation methods for the package’s classes.

print(<aci_result>): Print aci() result
print(<cir_result>): Print the causal influence range
print(<da_path_gaussian>): Print a Gaussian assimilation path
print(<lag_table>): Print a lag table
print(<obs_traj>): Print an observed trajectory
print(<aci_conditional_spec>): Print a conditional ACI specification
print(<stochastic_model>): Print a stochastic model
plot(<aci_result>): Plot an ACI result
plot(<cir_result>): Plot a causal influence range result
plot(<da_path_gaussian>): Plot a Gaussian assimilation path
as.data.frame(<aci_result>): aci() result to data.frame
as.data.frame(<da_path_gaussian>): Coerce a Gaussian assimilation path to a data frame
as.data.frame(<lag_table>): Coerce a lag table to a data frame
as.data.frame(<obs_traj>): Coerce an observed trajectory to a data frame
simulate(<stochastic_model>): Simulate a stochastic or conditional-Gaussian model

The model contract, the assimilation surface, the causal measures, and the references.