hmmlt.gof.x: Goodness-of-fit in perpendicular dimension.
In david-borchers/hmltm: Line transect estimation with hidden Markov availability models
hmmlt.gof.x R Documentation
Goodness-of-fit in perpendicular dimension.
Description
Calculates goodness-of-fit in perpendicular dimension, plots fit, and returns p-value and
other stuff. Returns two p-values: p.ks is the Kolmogarov-Smirnov p-value (which is
based on only the largest difference between emprical and theoretical cdfs), and Cramer-von Mises
p-value (which is based on all cdf values).
Usage
hmmlt.gof.x(hmltm, ks.plot = TRUE)
Arguments
hmltm
fitted model, as output by est.hmltm
ks.plot
If TRUE, does CDF-EDF plot (similar to a Q-Q plot, but using cumulative distribution function
values rather than quantiles). Point corresponding to largest difference between#' empirical and theoretical cdf (on which the Kolmogarov-Smirnov test is based) is circled in red.
david-borchers/hmltm documentation built on Oct. 29, 2023, 9:07 p.m.
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| hmmlt.gof.x | R Documentation |
Goodness-of-fit in perpendicular dimension.
Description
Calculates goodness-of-fit in perpendicular dimension, plots fit, and returns p-value and
other stuff. Returns two p-values: p.ks is the Kolmogarov-Smirnov p-value (which is
based on only the largest difference between emprical and theoretical cdfs), and Cramer-von Mises
p-value (which is based on all cdf values).
Usage
hmmlt.gof.x(hmltm, ks.plot = TRUE)
Arguments
hmltm |
fitted model, as output by |
ks.plot |
If TRUE, does CDF-EDF plot (similar to a Q-Q plot, but using cumulative distribution function values rather than quantiles). Point corresponding to largest difference between#' empirical and theoretical cdf (on which the Kolmogarov-Smirnov test is based) is circled in red. |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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