bounds_support          Worst-case (support) bounds for person means
                        under arbitrary nonresponse
break_even              Break-even sensitivity values and identified
                        sets from a tilt profile
calibrate_delta         Calibrate the self-censoring sensitivity
                        parameter from a design feature
default_params          Default population parameters used in the
                        simulation studies of Yu (2026)
dm_graph                Declare a dynamic missingness graph (dm-graph)
dsep                    d-separation in a dm-graph
fatigue_check           Descriptive check for burden or fatigue in the
                        response sequence
fit_fiml                Full-information maximum likelihood under
                        missing at random (state-space EM)
fit_ipw                 Inverse-probability-weighted within-person
                        VAR(1) for observed context confounding
fit_pairs               Within-person VAR(1) estimated from complete
                        adjacent pairs
fit_tilt                Tilted (self-censoring-adjusted) within-person
                        VAR(1) at a fixed value of the sensitivity
                        parameter
loglik_fiml             Log-likelihood of the two-level VAR(1) at given
                        parameters (MAR)
make_pairs              Build adjacent prompt pairs from long
                        experience-sampling data
missingness_declaration
                        Missingness declaration for preregistrations
                        and reports
partial_cors            Partial correlations from a covariance matrix
plot.delta_calibration
                        Plot the model-implied curve of a calibration
plot.dm_graph           Plot a dm-graph
plot.tilt_profile       Plot a tilt profile
recoverability          Recoverability report for a dm-graph
sensor_gap_test         The sensor-gap test: does an always-observed
                        sensor differ at skipped prompts?
silence_test            The silence test: does the state after a
                        skipped prompt differ?
silentema-package       silentema: dynamic missingness graphs and
                        sensitivity analysis for EMA data
simulate_ema            Simulate experience-sampling data with a
                        declared missingness mechanism
simulate_from_fit       Simulate data from a fitted tilt model
stationary_cov          Stationary covariance of a VAR(1) process
summary.pairs_fit       Standard errors and confidence intervals for
                        the lagged coefficients
tilt_profile            Sensitivity profile over a grid of
                        self-censoring values
