Description Usage Arguments Details Value References Examples
megabot
tests for correlation between a variable, X, and another variable, Y,
conditional on other variables, Z. The basic approach involves fitting an specified model of X on
Z, a specified model of Y on Z, and then determining whether there is any
remaining information between X and Y. This is done by
computing residuals for both models, calculating their correlation, and
testing the null of no residual correlation. The test statistic output
is the correlation between probabilityscale residuals. X and Y can
be continous or ordered discrete variables. megabot
replicates the functionality
of cobot
, cocobot
, and countbot
1 2 3 4 
formula 
an object of class 
data 
an optional data frame, list or environment (or object
coercible by 
fit.x, fit.y 
The fitting function used for the model of X or Y on Z. Options are ordinal, lm, lm.emp, poisson, nb, and orm. 
link.x, link.y 
The link family to be used for the ordinal model of X on Z. Defaults to logit. Other options are probit, cloglog,loglog, cauchit, and logistic(equivalent with logit). Used only when fit.x is either ordinal or orm. 
subset 
an optional vector specifying a subset of observations to be used in the fitting process. 
na.action 
action to take when 
fisher 
logical indicating whether to apply fisher transformation to compute confidence intervals and pvalues for the correlation. 
conf.int 
numeric specifying confidence interval coverage. 
Formula is specified as X  Y ~ Z
.
This indicates that models of X ~ Z
and
Y ~ Z
will be fit. The null hypothesis to be
tested is H0 : X independent of Y conditional
on Z.
object of cocobot class.
Li C and Shepherd BE (2012) A new residual for ordinal outcomes. Biometrika. 99: 473–480.
Shepherd BE, Li C, Liu Q (submitted) Probabilityscale residuals for continuous, discrete, and censored data.
1 2  data(PResidData)
megabot(yw ~ z, fit.x="ordinal", fit.y="lm.emp", data=PResidData)

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