Glht in r, glht' tidy (x, ) glht extracts the number of degrees of freedom for models of class lm (via modelparm) and the exact multivariate t distribution is evaluated. e. Create a set of confidence intervals on the differences between the means of the levels of a factor with the specified family-wise probability of coverage. The coef and vcov methods compute the linear function K θ ^ K θ^ and its covariance, respectively. This also works since summary. Exactly what tidy considers to be a model component varies across models but is usually self-evident. When called with linfct being an mcp object, an additional element focus is available storing the names of the factors under test. Searle (1971), Linear Models. A convenience function for univariate testing via z- and t-tests of estimated model coefficients cftest(model, parm, test = univariate(), ) model a fitted model. # S3 method for class 'summary. Description Extension of glht from the multcomp package to handle Fisher family-wise error and Bonferroni testing. Pairwise comparison with multiple testing compensation. May 17, 2023 · In the Value section of ?glht it says that df is a component of the output of glht so if g is a glht object, i. glht maintains the df component: Mar 17, 2022 · The multcomp package that provides the glht() function also can correct for multiple comparisons. John Wiley & Sons, New York Details The methods for general linear hypotheses as described by objects returned by glht can be used to actually test the global null hypothesis, each of the partial hypotheses and for simultaneous confidence intervals for the linear function K θ K θ. Oct 19, 2025 · glht methods return a specification of the null hypothesis H_0: K \theta = m. You can just issue the two lines or wrap it in a function if you like. summary. The correct form depends on precisely which null hypothesis you want to test. test a function for computing p values, see . glht extracts the number of degrees of freedom for models of class lm (via modelparm) and the exact multivariate t distribution is evaluated. The value of the linear function K \theta can be extracted using the coef method and the corresponding covariance matrix is available from the vcov method. . The test argument to summary takes a May 2, 2019 · An object of classes "simple. glht extracts the number of degrees of freedom for models of class lm (via modelparm) and the exact multivariate t distribution is evaluated. glht", "summary. glht". References Shayle R. If a model has several distinct types of components, you will need to specify which components to return. An object of class glht, more specifically a list with elements with print, summary, confint, coef and vcov methods being available. For all other models, results rely on the normal approximation. glht additional arguments passed to This is a first attempt at a presentation of the use of the glht function of the multcomp package to demonstrate how to construct and use a General Linear Hypothesis Test (glht). Apr 12, 2025 · glht extracts the number of degrees of freedom for models of class lm (via modelparm) and the exact multivariate t distribution is evaluated. glht" and "glht" containing information to produce confidence intervals, tests and plotting. There are print, plot and cld methods for class "simple. parm a vector of parameters to be tested, either a character vector of names or an integer. the output of glht, then the following shows the summary and the degrees of freedom.


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