Arguments
obs
a data frame with one row per observation and columns for
@c date of observation and @c age of individual on that date;
Note: all ages should be in months
camps
a data frame with one row per activity and columns providing
the activity's @c date, targeted age range (@c age.low and
@c age.high), size of targeted population (@c N) and the
number of vaccine doses nominally distributed (@c v)
trans.rho
the log-odds (aka logit) of @c rho, the proportion
of the population (scalar) that can be vaccinated;
see note above
alpha
the vaccination efficiency parameter (scalar) for the campaign;
@codealpha = -inf implies perfect efficiency,
@codealpha = 0 implies random efficiency;
see note above
z
the eligibility matrix for each individual/campaign pairing,
i.e. @codez[i,j] = 1 if this individual @c i is eligible
for campaign @c j, otherwise @codez[i,j] = 0;
Note: if @c z is @c NULL, then the eligibilty matrix
is calculated from @p obs and @p camps parameters using
@code z.matrix function.
w
the weight matrix for each individual/campaign pairing, i.e.
@code w[i,k] gives the probability of individual @c i
receiving a routine vaccination in year @c k
Note: if @c w is @c NULL, then the weight matrix is
calculated from @p obs, @p camps, @p cdf.fun and @p ...
parameters using @code w.matrix function.
cdf.fun
a cumulative distribution function (CDF) used to
calculate the probability of routine vaccination based
upon age, e.g. @code constant.post.9mo .
Note: this parameter is only required if the weight
matrix, @p w, is not provided.
...
any additional arguments to the @p cdf.fun, e.g. @c lambda
Note: this parameter is only required if the weight
matrix, @p w, is not provided.