Package index • libqe

All functions

center_points(): Center points (subtract column means)
choose_two(): Number of upper-triangle pairs for n codes
code_connections(): Pairwise products as an upper-triangle vector
connection_indices(): Upper-triangle index pairs
connection_names(): Code-name pairs for upper-triangle positions ("A & B")
dist_dist_correlation(): Distance-distance matrix correlation for stability analysis
door_ema(): Door EMA smoothing across units
door_ema_block(): Door EMA smoothing for a single block
door_lookback(): Door lookback window pooling across units
door_lookback_block(): Door lookback window pooling for a single block
eval_trajectory_curve(): Evaluate 2D parametric polynomial curve at specified time points
eval_trajectory_derivatives(): Evaluate trajectory differential geometry (velocities, speed, curvature, turns)
fit_trajectory_poly(): Fit 2D parametric polynomial curve with LOOCV-2D or AIC degree selection
fold_directed_network(): Fold a directed (n*n) vector into an undirected upper-triangle vector
group_stats(): Two-group comparison statistics
integrated_trajectory_distance(): Integrated Euclidean distance between two trajectory polynomial curves
lagged_trajectory_distance(): Lagged curve distance between follower and leader
libqe-package libqe: libqe: Shared C++ Core for Quantitative Ethnography Packages
mean_ci(): Confidence interval for the mean of a group of ENA unit points
n_connections(): Number of undirected connection columns
nesting_candidates(): Nested-code candidates from a binary code matrix
network_to_vector(): Flatten an adjacency matrix to a connection vector
normalize_networks(): Row-wise L2 (sphere) normalization
outlier_ci(): Outlier interval based on IQR (Tukey fence) for a group of ENA unit points
pairwise_trajectory_distance(): Pairwise integrated trajectory distance matrix
scale_networks(): Max-norm scaling (divide all rows by the largest row L2 norm)
signed_turn_lag(): Signed turn-lag distance between two agents at specific lag delta
sweep_signed_turn_lags(): Sweep signed turn lags to find optimal leader-follower lag