Package index • dsfit

Fitting and comparing

Fit a set of candidate keys at once and compare them on effective strip half-width and its coefficient of variation, rather than on AIC alone.

diagnose_sweep(): Diagnose common reasons a sweep fails, or succeeds meaninglessly
model_set(): Build a set of candidate detection functions
selection_table(): The ranked selection table from a sweep
sweep_models(): Fit a set of detection functions and compare them

Preparing survey data

Getting distance data into the shape a detection function wants, and describing the window an observer could actually see through.

detection_structure(): What a set of detections can and cannot support
prepare_distance_data(): Check and prepare distance data for fitting
view_window(): The time an animal stays within view of the platform
view_window_aerial(): The time an animal stays in view of an aircraft

Detection on the line

Availability and perception bias: what was there, versus what could have been seen at all.

availability(): Availability: the probability an animal was at the surface to be seen
effect_estimates(<ddf>) effect_estimates_ddf(): Extract a fitted detection function as a tidy frame
g0(): Assemble a g(0) correction from its named components

Bundled data

Dive-interval and detection data shipped with the package, so the examples and the availability correction run without needing an extract.

example_dive_intervals: Example surfacing and diving intervals, by month
ganley_availability: Right whale availability in Cape Cod Bay, by month
ganley_detection: Right whale annual detection probability in Cape Cod Bay