Binom2.or(VGAM)
Binom2.or()所属R语言包：VGAM
Bivariate Binary Regression with an Odds Ratio
二元二元回归，其比值比
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Density and random generation for a bivariate binary regression model using an odds ratio as the measure of dependency.
密度和随机生成的二元二元回归模型的比值比作为衡量的依赖。
用法----------Usage----------
rbinom2.or(n, mu1,
mu2 = if(exchangeable) mu1 else stop("argument 'mu2' not specified"),
oratio = 1, exchangeable = FALSE, tol = 0.001, twoCols = TRUE,
colnames = if(twoCols) c("y1","y2") else c("00", "01", "10", "11"),
ErrorCheck = TRUE)
dbinom2.or(mu1,
mu2 = if(exchangeable) mu1 else stop("'mu2' not specified"),
oratio = 1, exchangeable = FALSE, tol = 0.001,
colnames = c("00", "01", "10", "11"), ErrorCheck = TRUE)
参数----------Arguments----------
参数：n
number of observations. Must be a single positive integer. The arguments mu1, mu2, oratio are recycled to length n.
若干意见。必须是一个单一的正整数。的参数mu1，mu2，oratio被回收长度n。
参数：mu1, mu2
The marginal probabilities. Only mu1 is needed if exchangeable = TRUE. Values should be between 0 and 1.
边缘概率。只有mu1如果exchangeable = TRUE。值应该是在0和1之间。
参数：oratio
Odds ratio. Must be numeric and positive. The default value of unity means the responses are statistically independent.
赔率比。必须是数字和积极的。统一的默认值表示的反应是统计独立的。
参数：exchangeable
Logical. If TRUE, the two marginal probabilities are constrained to be equal.
逻辑。如果TRUE，这两个边缘概率的约束是平等的。
参数：twoCols
Logical. If TRUE, then a n * 2 matrix of 1s and 0s is returned. If FALSE, then a n * 4 matrix of 1s and 0s is returned.
逻辑。如果TRUE，然后是n*2矩阵1s和0s返回。如果FALSE，然后是n*4矩阵1s和0s返回。
参数：colnames
The dimnames argument of matrix is assigned list(NULL, colnames).
dimnamesmatrix参数分配list(NULL, colnames)。
参数：tol
Tolerance for testing independence. Should be some small positive numerical value.
测试独立的公差。应该有一些小的正数值。
参数：ErrorCheck
Logical. Do some error checking of the input parameters?
逻辑。做一些错误的输入参数的检查？
Details
详细信息----------Details----------
The function rbinom2.or generates data coming from a bivariate binary response model. The data might be fitted with the VGAM family function binom2.or.
的功能rbinom2.or产生的数据来自一个二元二元响应模型。的数据可能会被安装与VGAM家庭函数binom2.or。
The function dbinom2.or does not really compute the density (because that does not make sense here) but rather returns the four joint probabilities.
的功能dbinom2.or并没有真正计算密度（因为这是没有意义的），而是返回四个联合概率。
值----------Value----------
The function rbinom2.or returns either a 2 or 4 column matrix of 1s and 0s, depending on the argument twoCols.
函数rbinom2.or返回1s和0s 2或4列的矩阵，根据参数twoCols。
The function dbinom2.or returns a 4 column matrix of joint probabilities; each row adds up to unity.
函数dbinom2.or的联合概率返回一个4列的矩阵，每行统一。
（作者）----------Author(s)----------
T. W. Yee
参见----------See Also----------
binom2.or.
binom2.or。
实例----------Examples----------
# Example 1[例1]
nn = 2000
ymat = rbinom2.or(n = nn, mu1 = 0.8, oratio = exp(2), exch = TRUE)
(mytab = table(ymat[,1], ymat[,2], dnn=c("Y1", "Y2")))
(myor = mytab["0","0"] * mytab["1","1"] / (mytab["1","0"] * mytab["0","1"]))
fit = vglm(ymat ~ 1, binom2.or(exch = TRUE))
coef(fit, matrix = TRUE)
# Example 2[例2]
x = sort(runif(nn))
mu1 = logit(-2+4*x, inv = TRUE)
mu2 = logit(-1+3*x, inv = TRUE)
dmat = dbinom2.or(mu1 = mu1, mu2 = mu2, oratio = exp(2))
ymat = rbinom2.or(n = nn, mu1 = mu1, mu2 = mu2, oratio = exp(2))
fit2 = vglm(ymat ~ x, binom2.or)
coef(fit2, matrix = TRUE)
## Not run: [＃不运行：]
matplot(x, dmat, lty = 1:4, col = 1:4, type = "l",
main = "Joint probabilities", ylim = 0:1, lwd = 2)
legend(x = 0, y = 0.5, lty = 1:4, col = 1:4, lwd = 2,
legend = c("1 = (y1=0, y2=0)", "2 = (y1=0, y2=1)",
"3 = (y1=1, y2=0)", "4 = (y1=1, y2=1)"))
## End(Not run)[＃（不执行）]
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
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发表于 2012-10-1 15:26:54
