bayescount (version 0.9.9-1)

fec.power: FEC Power Analysis Calculations

Description

Finds the power for a faecal egg count study with the given combination of parameters. This represents the probability that the observed empirical mean FEC will lie between the lower.limit and upper.limit specified. The power is calculated using the negative binomial distribution when considering the true mean of a single individual, or using Monte Carlo integration for more than one animal. Confidence intervals for the true power are produced for the latter.

*THIS SOFTWARE IS INTENDED FOR EDUCATIONAL PURPOSES ONLY AND SHOULD NOT BE RELIED UPON FOR REAL WORLD APPLICATIONS*

Usage

fec.power(meanepg=200, g.faeces=3, sensitivity=1/25, 
   replicates=1, animals=10, coeffvarrep=0.4, coeffvarind=0.3, 
   coeffvargroup=0.7, true.sample=FALSE, accuracy=0.1, 
   lower.limit=meanepg*(1-accuracy), upper.limit=meanepg*(1+accuracy), 
   maxiterations=1000000, precision=2, confidence = 0.99, 
   feedback=FALSE, forcesim=FALSE)

Value

Returns a list containing the elements 'roundedci' and 'ci', which specifies the median and confidence limits (as defined by 'confidence') for the true power both rounded by 'precison' and unrounded. For analyses using the Monte Carlo integration method, 'within' 'without' and 'total' are also returned, and indicate the number of iterations for which the observed mean fell outside and inside the specified limits and the total number of iterations.

See Also

fec.power.limits, fecrt.power, fecrt, bayescount