Description Usage Arguments Value Author(s) References See Also Examples

The L-moments have particular constraints on magnitudes and relation to each other. This function evaluates and L-moment object whether the bounds for *λ_2 > 0* (L-scale), *|τ_3| < 1* (L-skew), *τ_4 < 1* (L-kurtosis), and *|τ_5| < 1* are satisfied. An optional check on *τ_4 ≥ (5τ_3^2 - 1)/4* is made. Also for further protection, the finitenesses of the mean (*λ_1*) and *λ_2* are also checked. These checks provide protection against say L-moments being computed on the logarithms of some data but the data themselves have values less than or equal to zero.

The TL-moments as implemented by the `TL`

functions (`TLmoms`

) are not applicable to the boundaries (well finiteness of course). The `are.lmom.valid`

function should not be consulted on the TL-moments.

1 | ```
are.lmom.valid(lmom, checkt3t4=TRUE)
``` |

`lmom` |
An L-moment object created by |

`checkt3t4` |
A logical triggering the above test on L-skew to L-kurtosis. This bounds in very small samples can be violated—usually the user will want this set and until (first release in 2017, v2.2.6) this bounds check was standard in lmomco for over a decade. |

`TRUE` |
L-moments are valid. |

`FALSE` |
L-moments are not valid. |

W.H. Asquith

Hosking, J.R.M., 1990, L-moments—Analysis and estimation of distributions using linear combinations of order statistics: Journal of the Royal Statistical Society, Series B, v. 52, pp. 105–124.

Hosking, J.R.M. and Wallis, J.R., 1997, Regional frequency analysis—An approach based on L-moments: Cambridge University Press.

1 2 3 4 5 6 7 8 9 10 11 12 13 | ```
lmr <- lmoms(rnorm(20))
if(are.lmom.valid(lmr)) print("They are.")
## Not run:
X <- c(1.7106278, 1.7598761, 1.2111335, 0.3447490, 1.8312889,
1.3938445, -0.5376054, -0.2341009, -0.4333601, -0.2545229)
are.lmom.valid(lmoms(X))
are.lmom.valid(pwm2lmom(pwm.pp(X, a=0.5)))
# Prior to version 2.2.6, the next line could leak through as TRUE. This was a problem.
# Nonfiniteness of the mean or L-scale should have been checked; they are for v2.2.6+
are.lmom.valid(lmoms(log10(c(1,23,235,652,0)), nmom=1)) # of other nmom
## End(Not run)
``` |

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