marg_loglike_poisson

spline parameter vector length num_params

beta

An integer vector of reported cases.

reported

spline basis matrix Tmod x num_params

matrix size Tobs x Tobs, log of make_likelihood_matrix

lnPmat

Marginal log likelihood 
This function computes the marginal probability of Pr(reported | beta). Note that
lnPmat must be zero padded enough (or censored) to match the length of 
reported cases vector.

Make empirical Bayes incidence curves from reported case data using a specified delay distribution.

Lauren Hannah

incidental

Implements Empirical Bayes Incidence Curves

Andrew Miller

Nicholas Foti

Joseph Futoma

Apple, Inc. 

marg_loglike_poisson function

Marginal log likelihood 
This function computes the marginal probability of Pr(reported | beta).  Note that
lnPmat must be zero padded enough (or censored) to match the length of 
reported cases vector. — marg_loglike_poisson

Marginal log likelihood 
This function computes the marginal probability of Pr(reported | beta).  Note that
lnPmat must be zero padded enough (or censored) to match the length of 
reported cases vector.

marg_loglike_poisson: Marginal log likelihood This function computes the marginal probability of Pr(reported | beta). Note that lnPmat must be zero padded enough (or censored) to match the length of reported cases vector.

Description

Usage

Arguments

Value