validMDBinom_EC: Generalized Method of Moments Valid Moment Combination...
In lalondetl/GMM:

Description Usage Arguments Examples

This function calculates the values of the derivatives of all valid moment conditions for a single subject in a longitudinal study with count (0-n) outcomes. It is assumed that the count represents the number of events from n identical trials, and that n is equal for all subjects and times. This is modeled similarly to a Logistic Regression for Binomial responses. It allows for unbalanced data, and uses the extended classification method to determine validity of moment conditions. The function returns a matrix of derivatives for all valid moment condition for subject i.

1	validMDBinom_EC(ymat, subjectIndex, Zmat, Xmat, betaI, T, Tmax, types)

`ymat`	The matrix of responses, ordered by subject, time within subject. The first column is the number of successes, the second the number of failures.
`subjectIndex`	The location of the first index of subject i responses within ymat.
`Zmat`	The design matrix for time-independent covariates.
`Xmat`	The design matrix for time-dependent covariates.
`betaI`	The current or initial estimates of the model parameters.
`T`	The number of time points for subject i.
`Tmax`	The maximum number of times of observation among all subjects.
`types`	A matrix indicating valid moment conditions for all time-dependent covariate parameters.
`N`	The number of subjects.