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rmutil (version 1.1.3)

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

11,258

Version

1.1.3

License

GPL-2

Maintainer

Bruce Swihart

Last Published

March 4th, 2019

Functions in rmutil (1.1.3)

Laplace Distribution

Generalized Weibull

Generalized Weibull Distribution

Gamma Count Distribution

Produce Individual Time Profiles for Plotting

Levy Distribution

Solution of Autonomous Linear Differential Equations

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

Beta Binomial Distribution

Generalized Extreme Value

Generalized Extreme Value Distribution

Create a response Object

Generalized Gamma

Generalized Gamma Distribution

Generalized Inverse Gaussian

Generalized Inverse Gaussian Distribution

Box-Cox Distribution

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

Runge-Kutta Method for Solving Differential Equations

Transform a Dataframe to a repeated Object

Generalized Logistic

Generalized Logistic Distribution

Hjorth Distribution

Formula Interpreter

Inverse Gaussian

Inverse Gaussian Distribution

Burr Distribution

Pareto Distribution

Matrix Exponentiation

Create a repeated Object, Leaving NAs

PowerExponential

Power Exponential Distribution

Power of a Matrix

Produce Marginal Time Profiles for Plotting

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

Consul Distribution

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

A Fast Simplified Version of tapply

Vectorized Numerical Integration

Double Poisson Distribution

Contrast Matrix for Constraints about the Mean

Calculate Gauss-Hermite Quadrature Points

Skew Laplace Distribution

Methods for formulafn Functions

Multiplicative Binomial

Multiplicative Binomial Distribution

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

Read a List of Matrices from a File for Unbalanced Repeated Measurements

Two-Sided Power

Two-Sided Power Distribution

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

Multiplicative Poisson Distribution

Power Variance Function Poisson Distribution

Create a repeated Object, Removing NAs

Vectorized Two-dimensional Numerical Integration

Utilities for Repeated Measurements Library

Pharmacokinetic Compartment Models

Simplex Distribution

Check Covariates and Parameters of a Function

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

Double Binomial

Double Binomial Distribution