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rmutil (version 1.1.9)

Utilities for Nonlinear Regression and Repeated Measurements Models

Description

A toolkit of functions for nonlinear regression and repeated measurements not to be used by itself but called by other Lindsey packages such as 'gnlm', 'stable', 'growth', 'repeated', and 'event' (available at ).

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Version

Install

install.packages('rmutil')

Monthly Downloads

10,825

Version

1.1.9

License

GPL (>= 2)

Maintainer

Last Published

March 1st, 2022

Functions in rmutil (1.1.9)

DoublePoisson

Double Poisson Distribution
Beta Binomial

Beta Binomial Distribution
Box-Cox

Box-Cox Distribution
Levy

Levy Distribution
Laplace

Laplace Distribution
Generalized Inverse Gaussian

Generalized Inverse Gaussian Distribution
PvfPoisson

Power Variance Function Poisson Distribution
Burr

Burr Distribution
gauss.hermite

Calculate Gauss-Hermite Quadrature Points
rmna

Create a repeated Object, Removing NAs
gettvc

Find the Most Recent Value of a Time-varying Covariate Before Each Observed Response
Simplex

Simplex Distribution
Generalized Logistic

Generalized Logistic Distribution
Consul

Consul Distribution
DataMethods

Methods for response, tccov, tvcov, and repeated Data Objects
Hjorth

Hjorth Distribution
Generalized Extreme Value

Generalized Extreme Value Distribution
PowerExponential

Power Exponential Distribution
Generalized Gamma

Generalized Gamma Distribution
Pareto

Pareto Distribution
MultPoisson

Multiplicative Poisson Distribution
Multiplicative Binomial

Multiplicative Binomial Distribution
Double Binomial

Double Binomial Distribution
read.surv

Read a List of Matrices from a File for Repeated Times to Events
lvna

Create a repeated Object, Leaving NAs
mexp

Matrix Exponentiation
Inverse Gaussian

Inverse Gaussian Distribution
capply

A Fast Simplified Version of tapply
lin.diff.eqn

Solution of Autonomous Linear Differential Equations
iprofile

Produce Individual Time Profiles for Plotting
tvctomat

Create a Time-varying, Intra-individual Covariate (tvcov) Object
contrast

Contrast Matrix for Constraints about the Mean
dftorep

Transform a Dataframe to a repeated Object
int

Vectorized Numerical Integration
finterp

Formula Interpreter
int2

Vectorized Two-dimensional Numerical Integration
fnenvir

Check Covariates and Parameters of a Function
fmobj

Object Finder
wr

Find the Response Vector and Design Matrix for a W\&R Model Formula
restovec

Create a response Object
Gamma Count

Gamma Count Distribution
Generalized Weibull

Generalized Weibull Distribution
rmutil

Utilities for Repeated Measurements Library
plot.residuals

Plot Residuals
pkpd

Pharmacokinetic Compartment Models
runge.kutta

Runge-Kutta Method for Solving Differential Equations
SkewLaplace

Skew Laplace Distribution
Two-Sided Power

Two-Sided Power Distribution
mpower

Power of a Matrix
mprofile

Produce Marginal Time Profiles for Plotting
read.list

Read a List of Matrices from a File for Unbalanced Repeated Measurements
read.rep

Read a Rectangular Data Set from a File to Create a repeated Object
tcctomat

Create a Time-constant, Inter-individual Covariate (tccov) Object
FormulaMethods

Methods for formulafn Functions