alpha2N                 Internal function. convert mixture proportions
                        to mixture sample size with a fixed total
                        sample size
batch.estimation        Two stage estimation, a pilot estimate of
                        mixing alpha and a following importance
                        sampling, with or without control variates
compatible.test         Test the compatibility of user defined
                        functions _fname, rpname, rqname, dpname,
                        dqname_ with _mixture.param_
do.mixture.sample       Internal function. sample from the mixture
                        distribution q_{alpha}
do.plain.mc             Do plain monte carlo with target density
get.index.b             Internal function. Get the row index in the
                        stacked sample matrices for the b^{th} batch
get.initial.alpha       Internal function. Calculate the initial alpha
                        vector for the optimization of _alpha_ with a
                        lower bound constraint
get.var                 Internal function. With stratified samples,
                        calculate the variance of the estimate from
                        importance sampling without control variates
mixture.is.estimation   For a given mixture weight alpha, use
                        importance sample with or withour control
                        variates for estimation
optismixture            Optimal Mixture Weights in Multiple Importance
                        Sampling
penoptpersp             penalized optimization of the constrained
                        linearized perspective function
penoptpersp.alpha.only
                        penalized optimization of the constrained
                        linearized perspective function
