Last updated on 2024-08-16 21:49:33 CEST.
Package | NOTE | OK |
---|---|---|
epmrob | 13 | |
lmtestrob | 10 | 3 |
ssmrob | 13 |
Current CRAN status: OK: 13
Current CRAN status: NOTE: 10, OK: 3
Version: 0.1
Check: Rd files
Result: NOTE
checkRd: (-1) robfmtest.Rd:24: Lost braces; missing escapes or markup?
24 | an optional data frame containing the variables in the model. If not found in data, the variables are taken from \code{environment(formula)}, typically the environment from which {robfmtest} is called.
| ^
checkRd: (-1) robfmtest.Rd:37: Lost braces; missing escapes or markup?
37 | Since the classical tests including {resettest}, {raintest} and {harvtest} implemented in {lmtest} are not resistant to outliers and can become misleading even in the presence of one outlier, we provide a test which is resistant to outliers. The price to pay for robustness is a small loss of power, when the model holds exactly.
| ^
checkRd: (-1) robfmtest.Rd:37: Lost braces; missing escapes or markup?
37 | Since the classical tests including {resettest}, {raintest} and {harvtest} implemented in {lmtest} are not resistant to outliers and can become misleading even in the presence of one outlier, we provide a test which is resistant to outliers. The price to pay for robustness is a small loss of power, when the model holds exactly.
| ^
checkRd: (-1) robfmtest.Rd:37: Lost braces; missing escapes or markup?
37 | Since the classical tests including {resettest}, {raintest} and {harvtest} implemented in {lmtest} are not resistant to outliers and can become misleading even in the presence of one outlier, we provide a test which is resistant to outliers. The price to pay for robustness is a small loss of power, when the model holds exactly.
| ^
checkRd: (-1) robfmtest.Rd:37: Lost braces; missing escapes or markup?
37 | Since the classical tests including {resettest}, {raintest} and {harvtest} implemented in {lmtest} are not resistant to outliers and can become misleading even in the presence of one outlier, we provide a test which is resistant to outliers. The price to pay for robustness is a small loss of power, when the model holds exactly.
| ^
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Current CRAN status: OK: 13
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