Utilities for Repeated Measurements

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

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