Beta Binomial	The Beta Binomial Distribution
Box-Cox	The Box-Cox Distribution
Burr	The Burr Distribution
covind	Create or add to a time-constant covariate (tccov) object
dbetabinom	The Beta Binomial Distribution
dboxcox	The Box-Cox Distribution
dburr	The Burr Distribution
ddoublebinom	The Double Binomial Distribution
ddoublepois	The Double Poisson Distribution
dgammacount	The Gamma Count Distribution
dgextval	The Generalized Extreme Value Distribution
dggamma	The Generalized Gamma Distribution
dginvgauss	The Generalized Inverse Gaussian Distribution
dglogis	The Generalized Logistic Distribution
dgweibull	The Generalized Weibull Distribution
dhjorth	The Hjorth Distribution
dinvgauss	The Inverse Gaussian Distribution
dlaplace	The Laplace Distribution
dlevy	The Levy Distribution
dmultbinom	The Multiplicative Binomial Distribution
dmultpois	The Multiplicative Poisson Distribution
Double Binomial	The Double Binomial Distribution
Double Poisson	The Double Poisson Distribution
dpareto	The Pareto Distribution
dpowexp	The power exponential Distribution
finterp	Formula interpreter
fnenvir	Check covariates and parameters of a function
Gamma Count	The Gamma Count Distribution
gauss.hermite	Calculate Gauss-Hermite Quadrature Points
Generalized Extreme Value	The Generalized Extreme Value Distribution
Generalized Gamma	The Generalized Gamma Distribution
Generalized Inverse Gaussian	The Generalized Inverse Gaussian Distribution
Generalized Logistic	The Generalized Logistic Distribution
Generalized Weibull	The Generalized Weibull Distribution
gettvc	Find the most recent value of a time-varying covariate before each observed response and possibly add them to a list of other time-varying covariates.
hboxcox	The Box-Cox Distribution
hburr	The Burr Distribution
hgextval	The Generalized Extreme Value Distribution
hggamma	The Generalized Gamma Distribution
hglogis	The Generalized Logistic Distribution
hgweibull	The Generalized Weibull Distribution
hhjorth	The Hjorth Distribution
hinvgauss	The Inverse Gaussian Distribution
Hjorth	The Hjorth Distribution
hlaplace	The Laplace Distribution
hpareto	The Pareto Distribution
int	Numerical Integration of a Function
Inverse Gaussian	The Inverse Gaussian Distribution
iprofile	Produce Individual Time Profiles for Plotting
Laplace	The Laplace Distribution
Levy	The Levy Distribution
mexp	Matrix Exponentiation
Multiplicative Binomial	The Multiplicative Binomial Distribution
Multiplicative Poisson	The Multiplicative Poisson Distribution
Pareto	The Pareto Distribution
pbetabinom	The Beta Binomial Distribution
pboxcox	The Box-Cox Distribution
pburr	The Burr Distribution
pdoublebinom	The Double Binomial Distribution
pdoublepois	The Double Poisson Distribution
pgammacount	The Gamma Count Distribution
pgextval	The Generalized Extreme Value Distribution
pggamma	The Generalized Gamma Distribution
pginvgauss	The Generalized Inverse Gaussian Distribution
pglogis	The Generalized Logistic Distribution
pgweibull	The Generalized Weibull Distribution
phjorth	The Hjorth Distribution
pinvgauss	The Inverse Gaussian Distribution
pkpd	Pharmacokinetic models
plaplace	The Laplace Distribution
plevy	The Levy Distribution
plot.repeated	Create a repeated object, removing NAs
plot.residuals	Plot Residuals
pmultbinom	The Multiplicative Binomial Distribution
pmultpois	The Multiplicative Poisson Distribution
power exponential	The power exponential Distribution
ppareto	The Pareto Distribution
ppowexp	The power exponential Distribution
print.repeated	Create a repeated object, removing NAs
print.tccov	Create or add to a time-constant covariate (tccov) object
print.tvccov	Create or add to a time-varying covariate (tvcov) object
profile	Produce Marginal Time Profiles for Plotting
read.list	Read a list of matrices from a file for unbalanced repeated measurements.
read.surv	Read a list of matrices from a file for use with kalsurv.
restovec	Create a response object
rmna	Create a repeated object, removing NAs
rmutil	Utilities for Repeated Measurements Library
tcctomat	Create or add to a time-constant covariate (tccov) object
tvctomat	Create or add to a time-varying covariate (tvcov) object
wr	Find the response vector and design matrix for a model formula
