Man pages for javirudolph/StabilityToolkit
Statistical inference for bacterial stability assays

bblogist.simSimulates data picking from a beta binomial
dynamic.fitGeneral function to fit either the SS model or the HT model
flexss.bootstrappedMLEsMaximum Likelihood estimation of the SS model parameters...
HT.bootstrappedMLEsMaximum Likelihood estimation of the HT model parameters...
HTdatasimSimulates picking colonies data from a serial transfer...
HT.predictComputing the fraction over time of the plasmid-free cells in...
jointflexssMLEsJoint Maximum Likelihood estimation of the SS model...
joint.negllSS.flexjoint likelihod from a competition experiment and initial...
joint.vs.sep.fitComparisson between fits
loss.timeFunction to compute the time (in generations) it takes for a...
negll.bblogistLog likelihood for beta binomial model
negllSS.flexComputes the negative log-likelihood for the Segregation...
negllSS.flex.nobeta0Computes the negative log-likelihood for the Segregation...
negloglikeHTComputes the negative log-likelihood for the Horizontal...
negloglikeHT.combJoint likelihood for two different stability assays are the...
negloglikeSSComputes the negative log-likelihood for the Segregation...
negloglikeSS.combJoint likelihood for two different stability assays
pairwise.fitHTJoint estimation of the HT model parameters
pairwise.fitSSJoint estimation of the SS model parameters
SSdatasimSimulates picking colonies data from a serial transfer...
SS.predictComputes the solution of the difference equation for the...
StabilityToolkit-packageStabilityToolkit: Statistical inference for bacterial...
vs.simData simulation under the variable selection model
javirudolph/StabilityToolkit documentation built on Jan. 3, 2021, 11:29 p.m.