PALMPermutation Analysis of Linear Models — is a tool that allows inference using permutation methods, offering a number of features not available in other analysis software. These features currently include:

PALM requires Matlab or Octave. It can be executed from inside either environment, or directly from the shell. It can also be called from scripts.

PALM is experimental software. As novel features are introduced, tested, verified, and validated, eventually they will be implemented and made available in randomise or in other tools. PALM is for users who are familiar with statistics and willing to use experimental analysis tools.

To download PALM, please visit the User Guide.


References

The main reference for PALM is the same as for randomise:

* Winkler AM, Ridgway GR, Webster MA, Smith SM, Nichols TE. Permutation inference for the general linear model. NeuroImage, 2014;92:381-397 (Open Access)

For the multi-level exchangeability blocks, the reference is:

* Winkler AM, Webster MA, Vidaurre D, Nichols TE, Smith SM. Multi-level block permutation. Neuroimage. 2015;123:253-68. (Open Access)

For Non-Parametric Combination (NPC), classical multivariate tests (MANOVA, MANCOVA, CCA) assessed with permutations, and for correction over contrasts and/or modalities (options -corrcon and -corrmod), the reference is:

* Winkler AM, Webster MA, Brooks JC, Tracey I, Smith SM, Nichols TE. Non-Parametric Combination and related permutation tests for neuroimaging. Hum Brain Mapp. 2016 Apr;37(4):1486-511. (Open Access)

For additional theory of permutation tests in neuroimaging, please see and cite:

* Nichols TE, Holmes AP. Nonparametric permutation tests for functional neuroimaging: a primer with examples. Hum Brain Mapp. 2002 Jan;15(1):1-25.

* Holmes AP, Blair RC, Watson JD, Ford I. Nonparametric analysis of statistic images from functional mapping experiments. J Cereb Blood Flow Metab. 1996 Jan;16(1):7-22.


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PALM (last edited 16:43:02 01-05-2016 by AndersonWinkler)