Package index • CSHShydRometry

Fitting a single-segment curve

Each function fits one model, and returns a fit that predict() and coef() work with.

rc_powerlaw(): Fit a power-law rating curve on the original scale
rc_powerlaw_log(): Fit a power-law rating curve on the log-log scale
rc_poly(): Fit polynomial rating curve
rc_loess(): Fit rating curve using loess smoother

Fitting a two-segment curve

rc_2seg_powerlaw(): Fit two-segment power-law rating curve using nls on untransformed data

Variance

How the scatter of the gaugings about the curve is modelled.

var_none() var_prop() var_power() var_spec() print(<rc_variance>): Variance schemes for rating-curve fits

Predicting, with confidence and prediction limits

predict(<rc_2seg_powerlaw>): Predict discharge with confidence / prediction limits from a two-segment fit
predict(<rc_loess>): Predict method for rc_loess objects
predict(<rc_poly>): Predict method for rc_poly objects
predict(<rc_powerlaw>): Predict method for rc_powerlaw objects
predict(<rc_powerlaw_log>): Predict method for rc_powerlaw_log objects

Fitted curves

What a fit contains, and the methods every fit shares.

rating_curve: Rating curve fits
coef(<rating_curve>) coef(<rc_2seg_powerlaw>): Estimated parameters of a rating curve
fitted(<rating_curve>) residuals(<rating_curve>): Fitted values and residuals of a rating curve
print(<rating_curve>): Print a rating curve fit

Data

thompson: Thompson River gaugings