R语言simDCM()函数-中英文对照帮助文档

MicroRbt

        R语言在一般动态社区（站点占用）模型下模拟检测/未检测数据simDCM()函数-中英文对照帮助文档

                                         By MicroRbt Martinez PhD

R语言函数名：simDCM()
R语言函数功能：在一般动态社区（站点占用）模型下模拟检测/未检测数据
来自资源库：CRAN
simDCM()函数所属R语言包：所在R包具体名称、包功能的中英文双语描述见正文后面'--所在R语言包信息--'部分。

描述-----Description-----

Function to simulate detection/nondetection data under a general dynamic community (= dynamic, multi-species site-occupancy) model, including:
在一般动态社区（=动态，多物种站点占用）模型下模拟检测/未检测数据的功能，包括：

* annual variation in the probabilities of patch persistence, colonization and detection is specified by the bounds of a uniform distribution.
*斑块持久性，定植和检测概率的年度变化由均匀分布的范围来确定。

* species heterogeneity around the means is specified by the SD of a normal distribution and expressed on the logit scale
*均值周围的物种异质性由正态分布的SD表示，并以对数刻度表示

* one covariate is allowed to a parameter (site covariate for psi1, site-year covariate for phi and gamma and site-year-rep covariate for p). Each covariate is allowed to differ among species again according to a logit-normal model of heterogeneity.
*一个协变量可以用作参数（psi1的位点协变量，phi和gamma的位点年协变量，p的位点年代表协变量）。根据异质性的对数正态模型，允许每个协变量在物种之间再次不同。

* additional detection heterogeneity at the site- or the occasion level, with the possibility of a temporal trend in this heterogeneity over years. E.g., an annual trend in detection heterogeneity at the site or the occasion level is specified by the value in the first and the last year. Hence, range.sd.site = c(0, 1) will result in a linear trend in the magnitude of site-level heterogeneity in detection from 0 in the first year to 1 in the last year, with interpolation for the years in between.
*在站点或场合级别上的其他检测异质性，这种异质性可能会随时间出现长期趋势。例如，第一年和最后一年的值指定了站点或场合级别的检测异质性的年度趋势。因此，range.sd.site = c（0，1）将导致站点级异质性检测的幅度呈线性趋势，从第一年的0到最后一年的1，并在之间的年份进行插值。

* additional detection heterogeneity that among occasions according to a quadratic effect of occasion number (to model phenology of an insect species for instance).
*附加的检测异质性，这些异质性是根据场合数的二次效应而进行的（例如，对昆虫物种的物候进行建模）。

These last two types of detection heterogeneity are not (yet) allowed to be species-specific.
（尚未）允许这最后两种类型的检测异质性是特定于物种的。


使用方法-----Usage-----

simDCM(nspec = 50, nsite = 100, nrep = 3, nyear = 10,
mean.psi1 = 0.4, sig.lpsi1 = 1, mu.beta.lpsi1 = 0, sig.beta.lpsi1 = 0,
range.mean.phi = c(0.8, 0.8), sig.lphi = 1, mu.beta.lphi = 0,
sig.beta.lphi = 0, range.mean.gamma = c(0.2, 0.2), sig.lgamma = 1,
mu.beta.lgamma = 0, sig.beta.lgamma = 0, range.mean.p = c(0.5, 0.5),
sig.lp = 1, mu.beta.lp = 0, sig.beta.lp = 0, range.beta1.season = c(0, 0),
range.beta2.season = c(0, 0), range.sd.site = c(0, 0),
range.sd.survey = c(0, 0), show.plot = TRUE)

参数-----Arguments-----

参数nspec介绍: number of species (typically called N in AHM book)
种类数（在AHM书中通常称为N）

参数nsite介绍: number of sites (M)
站点数（M）

参数nrep介绍: number of replicate occasions within a year (J)
一年内重复的次数（J）

参数nyear介绍: number of years (T)
年数（T）

参数mean.psi1介绍: average (across all species in the community) of the intercept of occupancy probability in first year
第一年占用概率的平均（整个社区中所有物种）

参数sig.lpsi1介绍: sd of the normal distribution from which species-specific occupancy intercepts are drawn (centered on logit(mean.psi1)), on logit scale
正态分布的sd，从中得出特定物种的占用截距（以logit（mean.psi1）为中心）

参数mu.beta.lpsi1介绍: community mean of the coefficients of the covariate in probabilities of initial occupancy: the probability-scale mean of the normal distribution from which the species-specific coefficients are drawn.
初始居住概率的协变量系数的均值平均值：从中得出特定物种系数的正态分布的概率尺度均值。

参数sig.beta.lpsi1介绍: sd of the normal distribution from which species-specific slopes are drawn (centered on mu.beta.lpsi1)
从中得出特定物种的斜率的正态分布的sd（以mu.beta.lpsi1为中心）

参数range.mean.phi介绍: bounds of uniform distribution from which the aver

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