Displaying 4 results from an estimated 4 matches for "lowerexact".
2009 Jun 23
1
implementing Maximum Likelihood with distrMod when only the PDF is known
...,
contains="Parameter"
)
##Class: distribution (created using the pdf of the skew normal defined
above)
setClass("SkewNorm",prototype = prototype(
d = function(x, log = FALSE){fsn(x, mu=0, sd=1,d=0)},
param = new("SkewNormParameter"),
.logExact = TRUE,.lowerExact = TRUE),
contains = "AbscontDistribution"
)
#so far so good but then with
setMethod("mu", "SkewNormParameter", function(object) object at mu)
#I get the following error message:
> Error in setMethod("mu", "SkewNormParameter", function(object)...
2017 Aug 26
0
Find maxima of a function
> On 26 Aug 2017, at 16:39, niharika singhal <niharikasinghal1990 at gmail.com> wrote:
>
> Hi,
>
> Thanks for your mail, and time
>
> It is not working for some arguments, when mean value is like >6.
>
>
> case
>
> mc0 <- c(0.08844446,0.1744455,0.1379778,0.1209769,0.1573065,0.
> 1134463,0.2074027)
>
> rv
2017 Aug 26
1
Fwd: Find maxima of a function
Hi,
Thanks for your mail, and time
It is not working for some arguments, when mean value is like >6.
case
mc0 <- c(0.08844446,0.1744455,0.1379778,0.1209769,0.1573065,0.
1134463,0.2074027)
rv <-UnivarMixingDistribution(Norm(486.4255, 53.24133),
Norm(664.0713, 3.674773),
Norm(669.0484, 4.101381),
2017 Aug 27
2
Fwd: Find maxima of a function
.....@ d :function (x, log = FALSE)
> ..@ p :function (q, lower.tail = TRUE, log.p = FALSE)
> ..@ q :function (p, lower.tail = TRUE, log.p = FALSE)
> ..@ .withSim : logi FALSE
> ..@ .withArith : logi TRUE
> ..@ .logExact : logi FALSE
> ..@ .lowerExact: logi FALSE
> ..@ Symmetry :Formal class 'NoSymmetry' [package "distr"] with 2 slots
> .. .. ..@ type : chr "non-symmetric distribution"
> .. .. ..@ SymmCenter: NULL
> > str(density(rv))
> Error in density.default(rv) : argument 'x'...