Last updated on 2024-12-22 13:49:07 CET.
Package | NOTE | OK |
---|---|---|
anocva | 10 | 3 |
Current CRAN status: NOTE: 10, OK: 3
Version: 0.1.1
Check: Rd files
Result: NOTE
checkRd: (-1) anocva.Rd:16: Lost braces; missing escapes or markup?
16 | \item{id}{A list in range {1,2,...,n}, where id[i] identifies the population id for the i-th subject.}
| ^
checkRd: (-1) anocva.Rd:20: Lost braces; missing escapes or markup?
20 | \item{r}{The optimal number of clusters. If NULL, then it will be estimated by the slope criterion in the interval {2..20}.}
| ^
checkRd: (-1) anocvaStats.Rd:14: Lost braces; missing escapes or markup?
14 | \item{id}{A list in range {1,2,...,n}, where id[i] identifies the population id for i-th subject.}
| ^
checkRd: (-1) checkNClust.Rd:5: Lost braces; missing escapes or markup?
5 | \title{If the number of clusters has not been set, estimates it by using Slope criterion in the range {2, 20}.}
| ^
checkRd: (-1) checkNClust.Rd:24: Lost braces; missing escapes or markup?
24 | If the number of clusters has not been set, estimates it by using Slope criterion in the range {2, 20}.
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checkRd: (-1) checkRange01.Rd:5: Lost braces; missing escapes or markup?
5 | \title{Check for {0,1} Interval Normalization.}
| ^
checkRd: (-1) checkRange01.Rd:16: Lost braces; missing escapes or markup?
16 | Verifies if the data is normalized in the range {0,1}.
| ^
checkRd: (-1) checkRange01.Rd:13: Lost braces; missing escapes or markup?
13 | The data matrix normalized in the range {0,1}.
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checkRd: (-1) nClust.Rd:26: Lost braces; missing escapes or markup?
26 | verified in the range {2,..., maxClust}.
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checkRd: (-1) nClustMulti.Rd:26: Lost braces; missing escapes or markup?
26 | verified in the range {2,..., maxClust}. Takes the mean of all samples in order to perform the estimation.
| ^
checkRd: (-1) optimalSlope.Rd:6: Lost braces; missing escapes or markup?
6 | The optimal number of clusters will be verified in the range {2,..., maxClust}.}
| ^
checkRd: (-1) optimalSlope.Rd:22: Lost braces; missing escapes or markup?
22 | The optimal number of clusters will be verified in the range {2,..., maxClust}.
| ^
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They may not be fully stable and should be used with caution. We make no claims about them.