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CompCor.HCP()
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CompCor for HCP data |
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CompCor()
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CompCor |
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DVARS()
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Computes the DSE decomposition and DVARS-related statistics.
Citation: Insight and inference for DVARS (Afyouni and Nichols, 2018) |
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Dat1
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Example fMRI Time Series for Subject 1 |
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Dat2
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Example fMRI Time Series for Subject 2 |
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Matrix_to_VolumeTimeSeries()
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Applies a 2D/3D mask to a matrix to get a 3D/4D volume time series. |
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PCATF()
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PCA Trend Filtering. From: https://github.com/Lei-D/PCATF |
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choose_PCs.kurtosis()
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Selects the principle components (PCs) of sufficient kurtosis from a SVD. |
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choose_PCs.variance()
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Selects the principle components of above-average variance from a SVD. |
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clever()
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Identify outliers with clever |
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clever_plot_indiv_panel()
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Plots one or several outlyingness measures of the same type. |
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erode_vol()
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Erode volumetric mask |
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est_trend()
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Estimates the trend of ts using a robust discrete cosine transform. |
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fit.F()
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Estimates the parameters of the F distribution of MCD distances. |
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get_leverage_images()
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Calculate the leverage images for each outlier that meets the
outlier_level threshold, with 3 (default) being the highest/strictest
and 1 being the lowest. |
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out_measures.leverage()
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Computes PCA leverage. |
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out_measures.robdist()
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Computes MCD distances. |
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plot(<clever>)
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Plots the outlyingness measures from a clever result. Can support multiple panels of
different outlyingness measures, but by default, it will plot only the first method. |
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scale_med()
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Scale data columns robustly |
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sd_hIQR()
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Estimates standard deviation robustly using the half IQR (and power trans.). |