multcomp-deprecated         package:multcomp         R Documentation

_D_e_p_r_e_c_a_t_e_d _F_u_n_c_t_i_o_n_s _m_u_l_t_c_o_m_p _P_a_c_k_a_g_e

_D_e_s_c_r_i_p_t_i_o_n:

     These functions are provided for compatibility with older versions
     of 'multcomp' only, and may be defunct in the next release.

_U_s_a_g_e:

     csimint(estpar, df, covm, cmatrix=NULL, ctype="user-defined",
             conf.level=0.95, alternative=c("two.sided","less","greater"), 
             asympt=FALSE, eps=0.001, maxpts=1000000)
     ## Default S3 method:
     simint(object,
         type = c("Dunnett", "Tukey", "Sequen", "AVE", "Changepoint", 
         "Williams", "Marcus", "McDermott"),
         cmatrix = NULL, conf.level = 0.95,
         alternative = c("two.sided","less","greater"),
         eps = 0.001, maxpts = 1e+06, whichf)
     ## S3 method for class 'formula':
     simint(formula, data=list(), subset, na.action, ...)
     ## S3 method for class 'lm':
     simint(object, psubset = NULL, ...)
     csimtest(estpar, df, covm, cmatrix=NULL, ctype="user-defined",
              ttype=c("free","logical"),
              alternative=c("two.sided","less","greater"), asympt=FALSE,
              eps=0.001, maxpts=1000000)
     ## Default S3 method:
     simtest(object,
         type = c("Dunnett", "Tukey", "Sequen", "AVE", "Changepoint", 
         "Williams", "Marcus", "McDermott"),
         ttype = c("free", "logical"),
         cmatrix = NULL, conf.level = 0.95,
         alternative = c("two.sided","less","greater"), 
         eps = 0.001, maxpts = 1e+06, whichf)
     ## S3 method for class 'formula':
     simtest(formula, data=list(), subset, na.action, ...)
     ## S3 method for class 'lm':
     simtest(object, psubset = NULL, ...)

_A_r_g_u_m_e_n_t_s:

    type: the type of contrast to be used.

 cmatrix: the contrast matrix itself can be specified. If 'cmatrix' is
          defined, 'type' is ignored.

conf.level: confidence level.

alternative: the alternative hypothesis must be one of '"two.sided"'
          (default), '"greater"' or   '"less"'.  You can specify just
          the initial letter.

  asympt: a logical indicating whether the (exact) t-distribution or
          the normal approximation should be used.

     eps: absolute error tolerance as double.

  maxpts: maximum number of function values as integer.

 psubset: a vector of integers or characters indicating for which
          subset of coefficients of a (generalized) linear model 'y' 
          simultaneous confidences intervals should be computed.

 formula: a symbolic description of the model to be fit.

    data: an optional data frame containing the variables in the model.
          By default the variables are taken from
          'Environment(formula)', typically the environment from which
          'simint' is called.

  subset: an optional vector specifying a subset of observations to be
          used.

na.action: a function which indicates what should happen when the data
          contain 'NA''s.  Defaults to   'GetOption("na.action")'.

  whichf: if more than one factor is given in the right hand side of  
          'formula', 'whichf' can be used to defined the factor to
          compute contrasts of.

   ttype: Specifies whether the logical constraint method of Westfall
          (1997) will be used,    or whether the unconstrained method
          will be used.

  estpar: estimated parameter vector. 

      df: degrees of freedom. 

    covm: estimated covariance matrix of 'estpar'. 

   ctype: a string describing the kind of contrast matrix used.

  object: a fitted model.

     ...: further arguments to be passed to or from methods.

_D_e_t_a_i_l_s:

     The generics 'simint' and 'simtest' implement the user interface
     for multcomp versions up to 0.4-8. The user visible functions
     'simint', 'csimint',  'simtest', 'csimtest' have been replaced by
     one single function 'glht' which offers 'summary.glht' and
     'confint.glht' methods for simultaneous tests and confidence
     intervals, respectively.

     Please use 'glht' for your analyses. The old user interface will
     be removed in future versions of this package.

