Auxiliary for Controlling the inner algorithm in a GAMLSS Fitting
Auxiliary function used for the inner iteration of gamlss algorithm. Typically
only used when calling gamlss function through the option i.control.
glim.control(cc = 0.001, cyc = 50, glm.trace = FALSE,
bf.cyc = 30, bf.tol = 0.001, bf.trace = FALSE,
...)cc |
the convergence criterion for the algorithm |
cyc |
the number of cycles of the algorithm |
glm.trace |
whether to print at each iteration (TRUE) or not (FALSE) |
bf.cyc |
the number of cycles of the backfitting algorithm |
bf.tol |
the convergence criterion (tolerance level) for the backfitting algorithm |
bf.trace |
whether to print at each iteration (TRUE) or not (FALSE, the default) |
... |
for extra arguments |
A list with the arguments as components
Mikis Stasinopoulos d.stasinopoulos@londonmet.ac.uk, Bob Rigby
Rigby, R. A. and Stasinopoulos D. M. (2005). Generalized additive models for location, scale and shape, (with discussion), Appl. Statist., 54, part 3, pp 507-554.
Rigby, R. A., Stasinopoulos, D. M., Heller, G. Z., and De Bastiani, F. (2019) Distributions for modeling location, scale, and shape: Using GAMLSS in R, Chapman and Hall/CRC. An older version can be found in https://www.gamlss.com/.
Stasinopoulos D. M. Rigby R.A. (2007) Generalized additive models for location scale and shape (GAMLSS) in R. Journal of Statistical Software, Vol. 23, Issue 7, Dec 2007, https://www.jstatsoft.org/v23/i07/.
Stasinopoulos D. M., Rigby R.A., Heller G., Voudouris V., and De Bastiani F., (2017) Flexible Regression and Smoothing: Using GAMLSS in R, Chapman and Hall/CRC.
(see also https://www.gamlss.com/).
data(aids) con<-glim.control(glm.trace=TRUE) h<-gamlss(y~poly(x,3)+qrt, family=PO, data=aids, i.control=con) # rm(h,con)
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