Utilities for Repeated Measurements


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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