Model Parameters
Directly specify estimated model parameters and their covariance matrix.
parm(coef, vcov, df = 0)
coef |
estimated coefficients. |
vcov |
estimated covariance matrix of the coefficients. |
df |
an optional specification of the degrees of freedom to be used in subsequent computations. |
When only estimated model parameters and the corresponding
covariance matrix is available for simultaneous inference
using glht (for example, when only the results
but not the original data are available or, even worse, when the model
has been fitted outside R), function parm sets up an
object glht is able to compute on (mainly
by offering coef and vcov methods).
An object of class parm with elements
coef |
model parameters |
vcov |
covariance matrix of model parameters |
df |
degrees of freedom |
## example from
## Bretz, Hothorn, and Westfall (2002).
## On multiple comparisons in R. R News, 2(3):14-17.
beta <- c(V1 = 14.8, V2 = 12.6667, V3 = 7.3333, V4 = 13.1333)
Sigma <- 6.7099 * (diag(1 / c(20, 3, 3, 15)))
confint(glht(model = parm(beta, Sigma, 37),
linfct = c("V2 - V1 >= 0",
"V3 - V1 >= 0",
"V4 - V1 >= 0")),
level = 0.9)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.