pymodelfit.builtins.PowerLawModel ================================= .. currentmodule:: pymodelfit.builtins .. autoclass:: PowerLawModel :members: :inherited-members: .. automethod:: __init__ .. rubric:: Methods .. autosummary:: ~PowerLawModel.chi2Data ~PowerLawModel.derivative ~PowerLawModel.f ~PowerLawModel.findroot ~PowerLawModel.findval ~PowerLawModel.fitData ~PowerLawModel.fitLinearized ~PowerLawModel.fromLinear ~PowerLawModel.getCall ~PowerLawModel.getCov ~PowerLawModel.getMCMC ~PowerLawModel.integrate ~PowerLawModel.integrateCircular ~PowerLawModel.integrateSpherical ~PowerLawModel.inv ~PowerLawModel.isVarnumModel ~PowerLawModel.maximize ~PowerLawModel.minimize ~PowerLawModel.pixelize ~PowerLawModel.plot ~PowerLawModel.plotResiduals ~PowerLawModel.resampleFit ~PowerLawModel.residuals ~PowerLawModel.setCall ~PowerLawModel.stdData .. rubric:: Attributes .. autosummary:: ~PowerLawModel.A ~PowerLawModel.data ~PowerLawModel.defaultIntMethod ~PowerLawModel.defaultInvMethod ~PowerLawModel.defaultparval ~PowerLawModel.errors ~PowerLawModel.fittype ~PowerLawModel.fittypes ~PowerLawModel.fixedpars ~PowerLawModel.p ~PowerLawModel.params ~PowerLawModel.pardict ~PowerLawModel.parvals ~PowerLawModel.rangehint ~PowerLawModel.weightstype ~PowerLawModel.xaxisname ~PowerLawModel.yaxisname