covtheta(SightabilityModel)
covtheta()所属R语言包:SightabilityModel
Estimates var/cov matrix of inflation factors (1/prob detection) using a non-parametric bootstrap.
估计VAR /覆盖矩阵通货膨胀因素(1/prob检测)使用非参数bootstrap。
译者:生物统计家园网 机器人LoveR
描述----------Description----------
Estimates var/cov matrix of inflation factors (1/prob detection) using a non-parametric bootstrap. Called by function Sight.Est if Vm.boot = TRUE.
估计VAR /覆盖矩阵通货膨胀因素(1/prob检测)使用非参数bootstrap。称为的功能Sight.Est的如果Vm.boot = TRUE。
用法----------Usage----------
covtheta(total, srates, stratum, subunit, covars, betas, varbetas, nboots)
参数----------Arguments----------
参数:total
Number of animals in each independently sighted group
在每个独立有远见的组动物数
参数:srates
Plot sampling probability (associated with the independently observed animal groups)
图的抽样概率(与独立观察动物群体)
参数:stratum
Stratum identifiers (associated with the independently observed animal groups)
地层标识符(与独立观察动物群体)
参数:subunit
Plot ID (associated with the independently observed animal groups)
小区ID(与独立观察动物群体)
参数:covars
Matrix of sightability covariates (associated with the independently observed animal groups)
sightability协变量矩阵(与独立观察动物群体)
参数:betas
Logistic regression parameter estimates (from fitted sightability model)
Logistic回归参数估计值(从装sightability的模型)
参数:varbetas
Estimated variance-covariance matrix for the logistic regression parameter estimates (from fitted sightability model)
估计的logistic回归参数估计值的方差 - 协方差矩阵(从装sightability的模型)
参数:nboots
Number of bootstrap resamples.
引导重新采样数。
值----------Value----------
参数:smat
Estimated variance-covariance matrix for the inflation factors theta = (1/probability of detection). This is an n.animal x n.animal matrix.
估计方差 - 协方差矩阵的通货膨胀因素θ=(1/probability检测)。这是一个n.animal的x n.animal矩阵。
(作者)----------Author(s)----------
John Fieberg
参见----------See Also----------
Sight.Est
Sight.Est
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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