pawn_matrix: Creation of the matrices to compute PAWN (tailored approach)
In arnaldpuy/pawnr: Computation of PAWN Sensitivity Indices
Description
Usage
Arguments
Value
Examples
Description
Creates the matrices to compute the model output and then calculate
the PAWN sensitivity indices of the model inputs following the
'tailored approach'. The matrix for the unconditional model output
is created via Sobol' quasi-random number sequences.
Usage
1
pawn_matrix(N, Nc, n, k)
Arguments
N
Numeric, sample size of the unconditional model output
Nc
Numeric, sample size of the conditional model output
n
Numeric, number of conditioning intervals
k
Numeric, number of parameters
Value
A matrix
Examples
1
2
3
4
pawn_matrix(N = 10,
Nc = 5,
n = 3,
k = 3)
arnaldpuy/pawnr documentation built on Sept. 20, 2019, 12:15 p.m.
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Description Usage Arguments Value Examples
Description
Creates the matrices to compute the model output and then calculate the PAWN sensitivity indices of the model inputs following the 'tailored approach'. The matrix for the unconditional model output is created via Sobol' quasi-random number sequences.
Usage
1 | pawn_matrix(N, Nc, n, k)
|
Arguments
N |
Numeric, sample size of the unconditional model output |
Nc |
Numeric, sample size of the conditional model output |
n |
Numeric, number of conditioning intervals |
k |
Numeric, number of parameters |
Value
A matrix
Examples
1 2 3 4 | pawn_matrix(N = 10,
Nc = 5,
n = 3,
k = 3)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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