Running examples in ‘restriktor-Ex.R’ failed
The error most likely occurred in:

> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: conTest
> ### Title: function for informative hypothesis testing (iht)
> ### Aliases: conTest iht
> 
> ### ** Examples
> 
> ## example 1:
> # the data consist of ages (in months) at which an 
> # infant starts to walk alone.
> 
> # prepare data
> DATA1 <- subset(ZelazoKolb1972, Group != "Control")
> 
> # fit unrestricted linear model
> fit1.lm <- lm(Age ~ -1 + Group, data = DATA1)
> 
> # the variable names can be used to impose constraints on
> # the corresponding regression parameters.
> coef(fit1.lm)
 GroupActive      GroupNo GroupPassive 
      10.125       12.350       11.375 
> 
> # constraint syntax: assuming that the walking 
> # exercises would not have a negative effect of increasing the 
> # mean age at which a child starts to walk. 
> myConstraints1 <- ' GroupActive  < GroupPassive; 
+                     GroupPassive < GroupNo '
> 
> conTest(fit1.lm, myConstraints1)

Restriktor: restricted hypothesis tests ( 14 residual degrees of freedom ):


Multiple R-squared remains 0.985 

Constraint matrix:
   GroupActive GroupNo GroupPassive    op rhs active
1:          -1       0            1    >=   0     no
2:           0       1           -1    >=   0     no


Overview of all available hypothesis tests:

Global test: H0: all parameters are restricted to be equal (==)
         vs. HA: at least one inequality restriction is strictly true (>)
       Test statistic: 5.9780,   p-value: 0.02834

Type A test: H0: all restrictions are equalities (==) 
         vs. HA: at least one inequality restriction is strictly true (>)
       Test statistic: 5.9780,   p-value: 0.02834

Type B test: H0: all restrictions hold in the population
         vs. HA: at least one restriction is violated
       Test statistic: 0.0000,   p-value: 1

Type C test: H0: at least one restriction is false or active (==) 
         vs. HA: all restrictions are strictly true (>)
       Test statistic: 1.0627,   p-value: 0.1529

Note: Type C test is based on a t-distribution (one-sided), 
      all other tests are based on a mixture of F-distributions.

> 
> 
> # another way is to first fit the restricted model
> fit.restr1 <- restriktor(fit1.lm, constraints = myConstraints1)
Error in UseMethod("conLM") : 
  no applicable method for 'conLM' applied to an object of class "lm"
Calls: restriktor
Execution halted