Displaying 6 results from an estimated 6 matches for "rfit".
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2009 Nov 16
1
lmomco package and confidence limits?
Hello,
I am using the lmomco package (lmom.ub and pargev) to compute the GEV
parameters (location, scale, and shape), which are used to estimate
return values. I was wondering how/if I can calculate upper and lower
confidence (CI_u, CI_l) intervals for each return frequency using the
GEV parameters to fill-in the table below?
Xi (location) = 35.396
Alpha (scale) = 1.726
Kappa (shape) =
2003 Jun 09
1
questions about nls
Dear R users,
I am new in R and I want to use the nls package to analyze some
experimental data. The data is in the attached file "data". It is the
response "Sav" measured at different "C0". Basically, the "C0" is a
function of C1, K2, and r, and the "Sav" is a function of C0, C1, K2,
and r. The math equations are shown in the attached
2015 Oct 22
2
C_LogLin (stats/loglin)
...56,36,91);
mytable[3,,5] = c(32,65,63,14);
# Call of the original function works fine
loglin(mytable,list(c(1,2),c(1,3)))
# line by line does not work
table = mytable; margin = list(c(1,2),c(1,3)); start = rep(1,
length(table)); fit = FALSE; eps = 0.1;
iter = 20L; param = FALSE; print = TRUE;
rfit <- fit
dtab <- dim(table)
nvar <- length(dtab)
ncon <- length(margin)
conf <- matrix(0L, nrow = nvar, ncol = ncon)
nmar <- 0
varnames <- names(dimnames(table))
for (k in seq_along(margin)) {
tmp <- margin[[k]]
if (is.character(tmp)) {
## Rewrit...
2011 Jan 06
4
Different LLRs on multinomial logit models in R and SPSS
Hello, after calculating a multinomial logit regression on my data, I
compared the output to an output retrieved with SPSS 18 (Mac). The
coefficients appear to be the same, but the logLik (and therefore fit)
values differ widely. Why?
The regression in R:
set.seed(1234)
df <- data.frame(
"y"=factor(sample(LETTERS[1:3], 143, repl=T, prob=c(4, 1, 10))),
"a"=sample(1:5,
2012 Jun 30
1
How do I extract coefficient standard errors /CI for a "coxme" model
Hello, and thanks for your time
I'm trying to extract standard errors to produce confidence intervals from a
multivariable coxme model object so I can write a function that will print
a summary for some reproducible research. As far as I can glean, the SE is
produced on-the-fly by the print method. I'll dig into the source code if I
have to, but I'd rather not have to.
Any help
2015 Oct 22
0
C_LogLin (stats/loglin)
...4);
>
> # Call of the original function works fine
> loglin(mytable,list(c(1,2),c(1,3)))
>
> # line by line does not work
> table = mytable; margin = list(c(1,2),c(1,3)); start = rep(1,
> length(table)); fit = FALSE; eps = 0.1;
> iter = 20L; param = FALSE; print = TRUE;
> rfit <- fit
> dtab <- dim(table)
> nvar <- length(dtab)
> ncon <- length(margin)
> conf <- matrix(0L, nrow = nvar, ncol = ncon)
> nmar <- 0
> varnames <- names(dimnames(table))
> for (k in seq_along(margin)) {
> tmp <- margin[[k]]
> if (...