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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

14,898

Version

1.1.9

License

GPL (>= 2)

Maintainer

Last Published

March 1st, 2022

Functions in rmutil (1.1.9)

Double Poisson Distribution

Beta Binomial Distribution

Box-Cox Distribution

Levy Distribution

Laplace Distribution

Generalized Inverse Gaussian

Generalized Inverse Gaussian Distribution

Power Variance Function Poisson Distribution

Burr Distribution

Calculate Gauss-Hermite Quadrature Points

Create a repeated Object, Removing NAs

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

Simplex Distribution

Generalized Logistic

Generalized Logistic Distribution

Consul Distribution

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

Hjorth Distribution

Generalized Extreme Value

Generalized Extreme Value Distribution

PowerExponential

Power Exponential Distribution

Generalized Gamma

Generalized Gamma Distribution

Pareto Distribution

Multiplicative Poisson Distribution

Multiplicative Binomial

Multiplicative Binomial Distribution

Double Binomial

Double Binomial Distribution

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

Create a repeated Object, Leaving NAs

Matrix Exponentiation

Inverse Gaussian

Inverse Gaussian Distribution

A Fast Simplified Version of tapply

Solution of Autonomous Linear Differential Equations

Produce Individual Time Profiles for Plotting

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

Contrast Matrix for Constraints about the Mean

Transform a Dataframe to a repeated Object

Vectorized Numerical Integration

Formula Interpreter

Vectorized Two-dimensional Numerical Integration

Check Covariates and Parameters of a Function

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

Create a response Object

Gamma Count Distribution

Generalized Weibull

Generalized Weibull Distribution

Utilities for Repeated Measurements Library

Pharmacokinetic Compartment Models

Runge-Kutta Method for Solving Differential Equations

Skew Laplace Distribution

Two-Sided Power

Two-Sided Power Distribution

Power of a Matrix

Produce Marginal Time Profiles for Plotting

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

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

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

Methods for formulafn Functions