seas: Specifying a smooth long term trend within a 'modTempEff'...
In modTempEff: Modelling temperature effects using time series data

Description Usage Arguments Details Value Author(s) References See Also

Function employed within the tempeff formula to specify the variable with a smooth effect. The function does not fit the model, it simply returns information exploited by tempeff.

1	seas(x, ndx = stop("please, provide `ndx' in seas()"))

`x`	the long term trend variable
`ndx`	the apparent dimension (i.e. the rank) of the B-spline employed to model the long trend. For instance it could be `min(40,n/4)` where `n` is the time series length.

The function is used within the formula of tempeff() when the long term trend of the daily time series is fitted via a smooth term. A standard P-spline with a cubic B-spline basis and a second-order difference penalty is employed.

A list with relevant information.

Vito Muggeo

Eilers, P., Marx, B. (1996). Flexible Smoothing with B-splines and Penalties Statistical Science 11, 89–121.

Wood, S.N. (2006) Generalized Additive Models: An Introduction with R. Chapman and Hall/CRC Press.

csdl, tempeff

modTempEff documentation built on May 1, 2019, 10:08 p.m.