Package index • rcisignal

Build per-producer CIs

Compute one classification image (CI) per producer from trial-level responses. Pass group_by = to also build group-averaged CIs in one call.

ci_from_responses_briefrc(): Compute individual Brief-RC CIs from trial-level responses
ci_from_responses_2ifc(): Compute individual 2IFC CIs from trial-level responses
group_ci(): Collapse a per-producer signal matrix into per-group means

Within-condition reliability of the per-producer signal and per-producer infoVal.

infoval(): Per-producer informational value with trial-count-matched reference
rel_split_half(): Permuted split-half reliability with Spearman-Brown correction
rel_split_half_null(): Compute only the empirical-null distribution for split-half
rel_icc(): Intraclass correlation coefficients via direct mean squares
rel_loo(): Leave-one-out influence screening
rel_loo_z(): Z-scored leave-one-out influence (accessor)
run_reliability(): Run every within-condition reliability metric

Between-condition spatial difference: pixel-wise t, cluster-based permutation, Frobenius-distance bootstrap.

pixel_t_test(): Vectorised pixel-wise t-test (independent or paired)
rel_cluster_test(): Cluster-based permutation test with family-wise error control
rel_dissimilarity(): Between-condition dissimilarity with bootstrap confidence intervals
run_discriminability(): Run every between-condition discriminability metric
run_discriminability_pairwise(): Run all pairwise between-condition comparisons across K conditions

Producer-level agreement maps (descriptive and FWE-controlled).

agreement_map_test(): Per-pixel inferential agreement map with FWER control
plot_agreement_map(): Per-pixel agreement heatmap for a producer signal matrix

Cross-CI similarity, distance, and projection views. Accept any named collection of CIs (per-producer or group-level).

plot_ci_correlogram(): Pairwise Pearson-r correlogram across multiple group-mean CIs
plot_ci_distance_matrix(): Pairwise Euclidean distance matrix across multiple group-mean CIs
plot_ci_mds(): Multidimensional-scaling (MDS) projection of multiple CIs

plot_ci_overlay(): Render a group CI as a translucent agreement-map overlay on a base image
plot_mask_overlay(): Sanity-check a face mask against a base image
plot_face_mask(): Plot a face mask for visual verification
plot_dissimilarity_grid(): Compare Euclidean dissimilarity intervals across multiple contrasts on a single plot
save_ci_images(): Write CIs to PNG or JPEG files

read_responses(): Read reverse-correlation response data from a CSV file
read_noise_matrix(): Read a noise matrix from any supported source, with caching
read_cis(): Read a directory of CI images into a pixels x participants matrix
read_signal_matrix(): Read a directory of CI images and extract the base-subtracted signal
extract_signal(): Subtract the base image from each column of a CI matrix
simulate_briefrc_data(): Simulate Brief-RC reverse-correlation data
simulate_2ifc_data(): Simulate 2IFC reverse-correlation data

run_diagnostics(): Run the full battery of diagnostic checks
infoval_report(): Per-producer infoVal report (with calibration sanity checks)
check_duplicates(): Check for duplicate rows in response data
check_response_bias(): Check for response bias
check_response_coding(): Check that response values use the expected coding
check_response_inversion(): Detect response-code inversion
check_rt(): Response-time distributional checks
check_rt_infoval_consistency(): Cross-validate infoVal against RT quality
check_stimulus_alignment(): Check stimulus ids align with the stimulus pool
check_trial_counts(): Check trial counts per participant
check_version_compat(): Check rcicr version compatibility with a 2IFC rdata file
validate_noise_matrix(): Validate a noise matrix

make_face_mask(): Build an oval face-region mask for a square image
read_face_mask(): Read an image-based face-region mask from a PNG or JPEG
shift_mask(): Shift a face-region mask by a number of pixels
region_bounds_from_pixels(): Convert pixel-coordinate rectangle bounds to 0-1 image fractions
is_rcisignal_diag_result(): Test whether an object is an rcisignal_diag_result
rcisignal_diag_result(): Construct an rcisignal_diag_result object
rcisignal_diag_report(): Construct an rcisignal_diag_report object