| /dports/math/R-cran-VGAM/VGAM/man/ |
| H A D | rrvglm.optim.control.Rd | 1 \name{rrvglm.optim.control}
2 \alias{rrvglm.optim.control}
4 \title{ Control Function for rrvglm() Calling optim() }
7 \code{rrvglm} are set using this function.
12 rrvglm.optim.control(Fnscale = 1, Maxit = 100,
18 \item{Fnscale}{ Passed into \code{optim} as \code{fnscale}. }
19 \item{Maxit}{ Passed into \code{optim} as \code{maxit}. }
26 \item{Abstol}{ Passed into \code{optim} as \code{abstol}. }
32 See \code{\link[stats]{optim}} for more details.
61 \code{\link{rrvglm.control}},
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| H A D | calibrate.rrvglm.control.Rd | 1 \name{calibrate.rrvglm.control}
2 \alias{calibrate.rrvglm.control}
7 \code{\link{calibrate.rrvglm}} are set using this function.
11 calibrate.rrvglm.control(object, trace = FALSE, method.optim = "BFGS",
17 The fitted \code{\link{rrvglm}} model.
25 \item{trace, method.optim}{
26 Same as \code{\link{calibrate.qrrvglm.control}}.
32 Same as \code{\link{calibrate.qrrvglm.control}}.
51 Similar to \code{\link{calibrate.qrrvglm.control}}.
65 \code{\link{calibrate.rrvglm}},
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| H A D | calibrate.rrvglm.Rd | 1 \name{calibrate.rrvglm}
2 \alias{calibrate.rrvglm}
14 calibrate.rrvglm(object, newdata = NULL,
22 \item{object}{ The fitted \code{\link{rrvglm}} model.
66 \code{\link{calibrate.rrvglm.control}}.
72 \code{\link{calibrate.rrvglm.control}}.
111 The function \code{\link{calibrate.rrvglm.control}}
112 allows the user some control over the choice of these.
116 % Also, \code{\link[stats]{optim}} is used to search for
163 \code{\link{rrvglm}},
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| H A D | rrvglm.control.Rd | 1 \name{rrvglm.control}
2 \alias{rrvglm.control}
4 \title{ Control Function for rrvglm() }
11 rrvglm.control(Rank = 1, Algorithm = c("alternating", "derivative"),
190 Same as \code{\link{vglm.control}}.
203 \code{\link{vglm.control}}.
205 into \code{\link{rrvglm.optim.control}};
208 into \code{\link{valt.control}}.
264 \code{\link{rrvglm}},
265 \code{\link{rrvglm.optim.control}},
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| H A D | qrrvglm.control.Rd | 1 \name{qrrvglm.control}
2 \alias{qrrvglm.control}
212 \item{Maxit.optim}{
214 \code{\link[stats]{optim}} at each of the \code{optim.maxit}
233 \item{optim.maxit}{
236 \code{Maxit.optim} is fed into \code{\link[stats]{optim}}.
261 Passed into \code{optim(..., control = list(parscale = Parscale))};
430 \code{\link{rrvglm.control}} and \code{\link{vglm.control}}.
485 % \code{\link{rrvglm}},
486 % \code{\link{rrvglm.control}},
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| H A D | calibrate.qrrvglm.Rd | 142 \code{\link{calibrate.qrrvglm.control}}.
148 \code{\link{calibrate.qrrvglm.control}}.
162 The function \code{\link[stats]{optim}} is used to search for
164 needed, and arguments in \code{\link{calibrate.qrrvglm.control}}
165 allows the user some control over the choice of these.
328 \code{\link{calibrate.qrrvglm.control}},
329 \code{\link{calibrate.rrvglm}},
333 \code{\link[stats]{optim}},
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| H A D | cao.Rd | 17 control = cao.control(...), offset = NULL,
95 \item{control}{
97 See \code{\link{cao.control}} for details.
112 \code{\link[stats]{optim}}.
168 further arguments passed into \code{\link{cao.control}}.
176 in \code{\link{cao.control}}. Currently, not all of the
199 to use \code{\link{rrvglm}}.
299 (see \code{\link{cao.control}}). Trying many initial values becomes
316 \code{\link{cao.control}},
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| /dports/math/R-cran-VGAM/VGAM/R/ |
| H A D | rrvglm.control.q | 10 rrvglm.control <-
121 c(vglm.control(
131 "alternating" = valt.control(...),
132 "derivative" = rrvglm.optim.control(...)),
153 if (Quadratic) qrrvglm.control(Rank = Rank, ...) else NULL)
175 setClass("summary.rrvglm",
176 representation("rrvglm",
188 setMethod("summary", "rrvglm",
190 summary.rrvglm(object, ...))
195 show.summary.rrvglm <-
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| H A D | cao.fit.q | 35 optim.maxit <- control$optim.maxit
187 for (iter in 1:optim.maxit) {
198 maxit = control$Maxit.optim,
363 Maxit.optim = 250, argument
364 optim.maxit = 20,
424 stop("Bad input for argument 'Maxit.optim'")
425 if (!is.Numeric(optim.maxit, length.arg = 1,
481 Maxit.optim = Maxit.optim,
482 optim.maxit = optim.maxit,
2101 setMethod("calibrate", "rrvglm", function(object, ...)
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| H A D | cqo.fit.q | 16 control <- Control functionVar
17 Rank <- control$Rank
40 control$MUXfactor[lookat] * control$isd.latvar[lookat]) {
304 control = qrrvglm.control(...), argument
405 stop("use vglm(), not rrvglm()!")
498 for (iter in 1:control$optim.maxit) {
585 control = control, nameattr
748 nice31 <- (!control$eq.tol || control$I.tolerances) &&
774 quasi.newton <- optim(par = Cmat, fn = callcqoc,
779 maxit = control$Maxit.optim),
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| H A D | family.rrr.R | 254 Rank <- control$Rank
366 control = control)
439 if (length(control$Quadratic) && control$Quadratic)
623 C = Cmat, control = control)
669 which.optimizer <- if (control$Quadratic && control$FastAlgorithm) {
682 nice31 <- (!control$eq.tol || control$I.tolerances) &&
688 if (control$Quadratic && control$FastAlgorithm) {
726 optim(par = Cmat, fn = callcqof,
758 optim(par = theta0,
1706 if (length(fit@control$Nested) && fit@control$Nested)
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| /dports/math/R-cran-VGAM/VGAM/ |
| H A D | NAMESPACE | 136 export(calibrate.rrvglm.control, calibrate.rrvglm)
250 "na.fail", "napredict", "optim", "pbeta", "pbinom",
633 lms.bcg.control, lms.bcn.control, lmscreg.control,
669 show.Coef.qrrvglm, show.Coef.rrvglm, show.rrvglm,
671 show.summary.rrvglm,
700 summary.rrvglm,
791 alaplace1.control, alaplace2.control, alaplace3.control,
901 rrar, rrvglm.control,
902 rrvglm.optim.control)
906 rrvglm,
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| H A D | MD5 | 83 97f021e4c43e011eb0ee6aab689560f0 *R/rrvglm.R
84 fb2024175deba78bc3b68d40fe61d1ef *R/rrvglm.control.q
85 fd1a567f88bd1231a7be4e59ca86a400 *R/rrvglm.fit.q
98 f116b03f0b400b3ed2dbae08483030f8 *R/vgam.control.q
102 752214dbdddce38244f26f195a5d522e *R/vglm.control.q
183 cca9be7f9ff585bbd4163e07efbae59e *man/Coef.rrvglm.Rd
276 dbffa086f16a82076ced59b2b596384d *man/calibrate.rrvglm.control.Rd
579 f08d83f1ff379d1530c3098ff412eee5 *man/rrvglm-class.Rd
580 5d4db35d6093dfeaa78d7c254137d63f *man/rrvglm.Rd
581 74184887e8706e5fbb9d05c53a8d6193 *man/rrvglm.control.Rd
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