R语言 unmarked包 nonparboot-methods()函数中文帮助文档(中英文对照)

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nonparboot-methods(unmarked)
nonparboot-methods()所属R语言包：unmarked

                                         Nonparametric bootstrapping in unmarked
                                         在无人盯防的非参数自举

                                         译者：生物统计家园网 机器人LoveR

描述----------Description----------

Call nonparboot on an unmarkedFit to obtain non-parametric bootstrap samples.  These can then be used by vcov in order to get bootstrap estimates of standard errors.
调用“nonparboot的unmarkedFit获得非参数bootstrap样本。然后可以使用vcov，以获得的bootstrap估计标准误差。


Details

详细信息----------Details----------

Calling nonparboot on an unmarkedFit returns the original unmarkedFit, with the bootstrap samples added on.  Then subsequent calls to vcov with the argument method="nonparboot" will use these bootstrap samples. Additionally, standard errors of derived estimates from either linearComb or backTransform can be instructed to use bootstrap samples by providing the argument method = "nonparboot".
调用nonparboot了一个unmarkedFit，返回原unmarkedFit的，加在bootstrap样本。然后的后续调用vcov的说法method="nonparboot"将使用这些bootstrap样本。此外，得出的估计标准误差是linearComb或backTransform可以指示使用提供的参数method = "nonparboot"bootstrap样本。


方法----------Methods----------




signature(object = "unmarkedFit")  Obtain nonparametric
signature(object = "unmarkedFit")获取非参数




signature(object = "unmarkedFitColExt")  Obtain nonparametric
signature(object = "unmarkedFitColExt")获取非参数




signature(object = "unmarkedFitDS")  Obtain nonparametric
signature(object = "unmarkedFitDS")获取非参数




signature(object = "unmarkedFitMPois")  Obtain nonparametric
signature(object = "unmarkedFitMPois")获取非参数




signature(object = "unmarkedFitOccu")   Obtain nonparametric
signature(object = "unmarkedFitOccu")获取非参数




signature(object = "unmarkedFitOccuRN")   Obtain nonparametric
signature(object = "unmarkedFitOccuRN")获取非参数




signature(object = "unmarkedFitPCount")   Obtain nonparametric
signature(object = "unmarkedFitPCount")获取非参数


实例----------Examples----------


data(ovendata)
ovenFrame <- unmarkedFrameMPois(ovendata.list$data,
siteCovs=as.data.frame(scale(ovendata.list$covariates[,-1])), type = "removal")
(fm <- multinomPois(~ 1 ~ ufp + trba, ovenFrame))
fm &lt;- nonparboot(fm, B = 20) # should use larger B in real life.[在现实生活中，应该使用大一些的B。]
vcov(fm, method = "hessian")
vcov(fm, method = "nonparboot")
avg.abundance <- backTransform(linearComb(fm, type = "state", coefficients = c(1, 0, 0)))

## Bootstrap sample information propagates through to derived quantities.[＃引导的样本信息传播通过导出量。]
vcov(avg.abundance, method = "hessian")
vcov(avg.abundance, method = "nonparboot")
SE(avg.abundance, method = "nonparboot")

转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。


注：
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