confint(MASS)
confint()所属R语言包：MASS
Confidence Intervals for Model Parameters
模型参数的置信区间
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Computes confidence intervals for one or more parameters in a fitted model. Package MASS adds methods for glm and nls fits.
在拟合模型计算为一个或多个参数的置信区间。包MASS添加glm和nls适合的方法。
用法----------Usage----------
## S3 method for class 'glm'
confint(object, parm, level = 0.95, trace = FALSE, ...)
## S3 method for class 'nls'
confint(object, parm, level = 0.95, ...)
参数----------Arguments----------
参数：object
a fitted model object. Methods currently exist for the classes "glm", "nls" and for profile objects from these classes.
拟合模型对象。方法目前存在的类"glm"，"nls"“从这些类的配置文件对象。
参数：parm
a specification of which parameters are to be given confidence intervals, either a vector of numbers or a vector of names. If missing, all parameters are considered.
其中一个规范的参数都被给定的置信区间，无论是矢量的数字或名称的向量。如果丢失，所有参数都考虑。
参数：level
the confidence level required.
所需的信心水平。
参数：trace
logical. Should profiling be traced?
逻辑。应当分析被追踪吗？
参数：...
additional argument(s) for methods.
额外的参数（S）的方法。
Details
详情----------Details----------
confint is a generic function in package stats.
confint包stats是泛型函数。
These confint methods call the appropriate profile method, then find the confidence intervals by interpolation in the profile traces. If the profile object is already available it should be used as the main argument rather than the fitted model object itself.
这些confint的方法调用适当的配置方法，然后通过插值轮廓痕迹置信区间。如果配置文件对象是已经上市，它应作为拟合模型对象本身，而不是主要论点。
值----------Value----------
A matrix (or vector) with columns giving lower and upper confidence limits for each parameter. These will be labelled as (1 - level)/2 and 1 - (1 - level)/2 in % (by default 2.5% and 97.5%).
与每个参数的上下信心限制列矩阵（或向量）。这些将被标记为（1 - 级）/ 2和1 - （1 - 级）/ 2（％）（默认情况下，2.5％和97.5％）。
参考文献----------References----------
Modern Applied Statistics with S. Fourth edition. Springer.
参见----------See Also----------
confint (the generic and "lm" method), profile
confint（通用和"lm"方法），profile
举例----------Examples----------
expn1 <- deriv(y ~ b0 + b1 * 2^(-x/th), c("b0", "b1", "th"),
function(b0, b1, th, x) {})
wtloss.gr <- nls(Weight ~ expn1(b0, b1, th, Days),
data = wtloss, start = c(b0=90, b1=95, th=120))
expn2 <- deriv(~b0 + b1*((w0 - b0)/b1)^(x/d0),
c("b0","b1","d0"), function(b0, b1, d0, x, w0) {})
wtloss.init <- function(obj, w0) {
p <- coef(obj)
d0 <- - log((w0 - p["b0"])/p["b1"])/log(2) * p["th"]
c(p[c("b0", "b1")], d0 = as.vector(d0))
}
out <- NULL
w0s <- c(110, 100, 90)
for(w0 in w0s) {
fm <- nls(Weight ~ expn2(b0, b1, d0, Days, w0),
wtloss, start = wtloss.init(wtloss.gr, w0))
out <- rbind(out, c(coef(fm)["d0"], confint(fm, "d0")))
}
dimnames(out) <- list(paste(w0s, "kg:"), c("d0", "low", "high"))
out
ldose <- rep(0:5, 2)
numdead <- c(1, 4, 9, 13, 18, 20, 0, 2, 6, 10, 12, 16)
sex <- factor(rep(c("M", "F"), c(6, 6)))
SF <- cbind(numdead, numalive = 20 - numdead)
budworm.lg0 <- glm(SF ~ sex + ldose - 1, family = binomial)
confint(budworm.lg0)
confint(budworm.lg0, "ldose")
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 2012-2-16 18:04:45
