NEWS.md

In evgam: Generalised Additive Extreme Value Models

evgam 1.0.0

Changes:

• Version increased to 1.0.0 to reflect publication of Youngman (2022, JSS, \doi{10.18637/jss.v103.i03}).

• References to Youngman (2022, JSS, \doi{10.18637/jss.v103.i03}) added, where appropriate.

Bug fixes:

• That all variables have been supplied to data is now properly detected.

evgam 0.1.4

Changes:

• None.

Bug fixes:

• An error is thrown if there are fewer than r data for any pp.args$id, as opposed to r + 1 incorrectly implemented previously. (Thanks, Yousra El Bachir.)

evgam 0.1.3

Changes:

• plot() for an evgam object now calls mgcv::plot.gam() to plot smooths (with thanks to Debbie Dupuis for triggering this). plot() no longer has the addMap option, for adding map outlines via maps::map(); instead using one-figure devices with maps::map() separately is recommended.

• Calculations of log(|S|_+) for penalty matrix S now fully implements Wood (JRSSB, 2011(73)1, Appendix B).

• Calculations of log(|H|) for Hessian H now use diagonality simpifications; see Wood (book: GAMs in R 2nd ed. (2017) pp. 286).

evgam 0.1.2

Changes:

• The Fremantle data from package ismev have been added, and are used for examples. Usage is data(fremantle), as in ismev.

• colplot() adds the option to add a legend, which defaults to FALSE.

• logLik.evgam() now returns an object of class 'logLik', allowing, e.g., AIC() and BIC() to be used.

• extremal0() has gone, as extremal() can now do the same.

• evgam()'s trace argument now allows -1, which suppresses any information on the console.

Bug fixes:

• Negative response data now work okay with family = "ald".

• evgams()'s formula argument may have smooths and parametric-only terms in any order. (Previously, smooths had to come first, so formula = list(response ~ s(), ~ 1, ~ s()) broke.)

• predict.evgam(object) with missing(newdata) only gave one set predictions for object$data. It now gives predictions for all rows of object$data (as it should).

evgam 0.1.1

Changes:

• plot.evgam() now has informative y-axis labels for one-dimensional smooths.

Bug fixes:

• Compilation flag with clang++ in gradHess.cpp addressed.

• simulate.evgam() correctly labels variables for family = "response".

evgam 0.1.0

• Initial release.

evgam documentation built on June 28, 2022, 5:07 p.m.