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我都会发现一条错误消息：
[1] "Error in optim(par = vstart, fn = fnobj, fix.arg = fix.arg, obs = data, : \n non-finite finite-differenceddistnam = ddistname, hessian = TRUE, method = meth, lower = lower, upper = upper, ...): non-finite finite-difference
浏览 4提问于2015-02-17得票数 0
我不断地得到non-finite finite-difference value的错误，这是我无法绕过的。= TRUE) non-finite finite-differenceNelder-Mead") non-finite <em
浏览 10提问于2021-06-24得票数 0
.) : In addition: There were 37 warnings (use warnings() to
浏览 0修改于2020-10-22得票数 0
1回答
Error in optim(par = c(shape = 1, scale = 1, thres = 0), fn = function (p) :
non-finite finite-difference
浏览 0修改于2019-03-27得票数 0
回答已采纳
Error in optim(b0, cjll, method = "BFGS", hessian = TRUE, control = list(fnscale = -1)) :
# non-finite finite-difference
浏览 1修改于2015-01-28得票数 8
Error in optim(theta.start, fn = logl, x = x, y = y, control = list(fnscale = -1), :
non-finite finite-difference
浏览 2提问于2015-03-06得票数 0
Error in stats::optim(x = c(30.9012208754183, 223.738029433835,
46.4287558537441, : non-finite finite-difference
浏览 2修改于2014-05-13得票数 2
回答已采纳
我发现了以下错误：Error in optim(par0, LL, hessian = TRUE, method = "L-BFGS-B", lower = 1e-05, : non-finite finite-difference
浏览 5提问于2021-06-24得票数 0
.): non-finite finite-difference value [1]>
Error in fitdist(testData, "truncnorm", start = list(a =
浏览 10提问于2016-08-09得票数 1
回答已采纳
方法遇到了错误Error in stats::optim(x = c(12.0267113881516, 0, 3.80379771067847, 7.05725491534987, : non-finite finite-difference
浏览 4提问于2022-06-23得票数 0
)Error in optim(x = c(26, 73, 84, 115, 123, 132, 159, 207, 240, 241, 254, :
non-finite finite-difference
浏览 5修改于2013-11-16得票数 10
回答已采纳
Error in optim(par = theta, fn = EMV, data = data, method = "BFGS") :
non-finite finite-difference value
浏览 0修改于2016-06-20得票数 3
回答已采纳
但是通过运行这一行，我得到了一个错误：
Error in optim(par = c(1, 1, 1, 2), fr, method = "L-BFGS-B", lower = c(1, : non-finite finite-difference
浏览 3修改于2014-06-08得票数 1
回答已采纳
1回答
.): non-finite finite-difference value [3]>
Error in fitdist(Hs, "gamma3", start = list(1, 1, 3)) :
浏览 0提问于2016-12-26得票数 2
回答已采纳
.) : In addition: There were 50 or more warnings (use warnings
浏览 9修改于2017-09-21得票数 7
回答已采纳
# fd is the first derivative of f(x), calculated from
# the finite-difference
浏览 11修改于2022-09-10得票数 3
回答已采纳
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