Package: rmutil 1.1.10
rmutil: Utilities for Nonlinear Regression and Repeated Measurements Models
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 <https://www.commanster.eu/rcode.html>).
Authors:
rmutil_1.1.10.tar.gz
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rmutil.pdf |rmutil.html✨
rmutil/json (API)
NEWS
| # Install 'rmutil' in R: |
| install.packages('rmutil', repos = c('https://swihart.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/swihart/rmutil/issues
Last updated 2 years agofrom:f803cff306. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 07 2024 |
| R-4.5-win-x86_64 | OK | Sep 07 2024 |
| R-4.5-linux-x86_64 | OK | Sep 07 2024 |
| R-4.4-win-x86_64 | OK | Sep 07 2024 |
| R-4.4-mac-x86_64 | OK | Sep 07 2024 |
| R-4.4-mac-aarch64 | OK | Sep 07 2024 |
| R-4.3-win-x86_64 | OK | Sep 07 2024 |
| R-4.3-mac-x86_64 | OK | Sep 07 2024 |
| R-4.3-mac-aarch64 | OK | Sep 07 2024 |
Exports:as.data.frameas.data.frame.repeatedas.data.frame.responseas.data.frame.tccovas.data.frame.tvcovas.matrix.repeatedas.matrix.responseas.matrix.tccovas.matrix.tvcovcapplycoef.gnlmcontr.meancovariatescovariates.formulafncovariates.repeatedcovariates.tccovcovariates.tvcovcovindcovind.defaultdbetabinomdboxcoxdburrdconsulddoublebinomddoublepoisdeltadelta.repeateddelta.responsedescriptiondescription.defaultdescription.repeateddeviance.gnlmdf.residual.gnlmdftorepdgammacountdgextvaldggammadginvgaussdglogisdgweibulldhjorthdinvgaussdlaplacedlevydmultbinomdmultpoisdparetodpowexpdpvfpoisdsimplexdskewlaplacedtwosidedpowerfinterpfinterp.data.framefinterp.defaultfinterp.repeatedfinterp.tccovfinterp.tvcovfmobjfnenvirfnenvir.data.framefnenvir.defaultfnenvir.repeatedfnenvir.tccovfnenvir.tvcovformula.formulafnformula.repeatedformula.tccovgauss.hermitegettvcintint2iprofileiprofile.defaultlin.diff.eqnlvnamexpmodelmodel.formulafnmprofilemprofile.defaultnames.repeatednames.responsenames.tccovnames.tvcovnestingnesting.repeatednesting.responsenobsnobs.data.framenobs.defaultnobs.responsenobs.tvcovparametersparameters.formulafnpbetabinompboxcoxpburrpconsulpdoublebinompdoublepoispgammacountpgextvalpggammapginvgausspglogispgweibullphjorthpinvgaussplaplaceplevyplot.iprofileplot.mprofileplot.repeatedplot.residualsplot.responsepmultbinompmultpoispparetoppowexpppvfpoisprint.fmobjprint.formulafnprint.gnlmprint.repeatedprint.responseprint.tccovprint.tvcovpsimplexpskewlaplaceptwosidedpowerqbetabinomqboxcoxqburrqconsulqdoublebinomqdoublepoisqgammacountqgextvalqggammaqginvgaussqglogisqgweibullqhjorthqinvgaussqlaplaceqlevyqmultbinomqmultpoisqparetoqpowexpqpvfpoisqsimplexqskewlaplaceqtwosidedpowerrbetabinomrboxcoxrburrrconsulrdoublebinomrdoublepoisread.listread.repread.survresponseresponse.repeatedresponse.responseresptyperesptype.repeatedresptype.responserestovecrgammacountrgextvalrggammarginvgaussrglogisrgweibullrhjorthrinvgaussrlaplacerlevyrmnarmultbinomrmultpoisrparetorpowexprpvfpoisrsimplexrskewlaplacertwosidedpowerrunge.kuttatcctomattimestimes.defaulttimes.responsetransform.repeatedtransform.responsetransform.tccovtransform.tvcovtvctomatunitsunits.defaultunits.repeatedvcov.gnlmweights.gnlmweights.repeatedweights.responsewr
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Beta Binomial Distribution | dbetabinom pbetabinom qbetabinom rbetabinom |
| Box-Cox Distribution | dboxcox pboxcox qboxcox rboxcox |
| Burr Distribution | dburr pburr qburr rburr |
| A Fast Simplified Version of 'tapply' | capply |
| Consul Distribution | dconsul pconsul qconsul rconsul |
| Contrast Matrix for Constraints about the Mean | contr.mean |
| Methods for response, tccov, tvcov, and repeated Data Objects | as.data.frame as.data.frame.repeated as.data.frame.response as.data.frame.tccov as.data.frame.tvcov as.matrix as.matrix.repeated as.matrix.response as.matrix.tccov as.matrix.tvcov coef.gnlm covariates covariates.repeated covariates.tccov covariates.tvcov covind covind.default DataMethods delta delta.repeated delta.response description description.default description.repeated deviance.gnlm df.residual.gnlm formula formula.repeated formula.tccov names names.repeated names.response names.tccov names.tvcov nesting nesting.repeated nesting.response nobs nobs.data.frame nobs.default nobs.response nobs.tvcov plot.repeated plot.response print.fmobj print.gnlm print.repeated print.response print.tccov print.tvcov response response.repeated response.response resptype resptype.repeated resptype.response times times.default times.response transform transform.repeated transform.response transform.tccov transform.tvcov units units.default units.repeated vcov.gnlm weights weights.gnlm weights.repeated weights.response |
| Transform a Dataframe to a repeated Object | dftorep |
| Double Binomial Distribution | ddoublebinom pdoublebinom qdoublebinom rdoublebinom |
| Double Poisson Distribution | ddoublepois pdoublepois qdoublepois rdoublepois |
| Formula Interpreter | finterp finterp.data.frame finterp.default finterp.repeated finterp.tccov finterp.tvcov |
| Object Finder | fmobj |
| Check Covariates and Parameters of a Function | fnenvir fnenvir.data.frame fnenvir.default fnenvir.repeated fnenvir.tccov fnenvir.tvcov |
| Methods for formulafn Functions | covariates.formulafn formula.formulafn model model.formulafn parameters parameters.formulafn print.formulafn |
| Gamma Count Distribution | dgammacount pgammacount qgammacount rgammacount |
| Calculate Gauss-Hermite Quadrature Points | gauss.hermite |
| Generalized Extreme Value Distribution | dgextval pgextval qgextval rgextval |
| Generalized Gamma Distribution | dggamma pggamma qggamma rggamma |
| Generalized Inverse Gaussian Distribution | dginvgauss pginvgauss qginvgauss rginvgauss |
| Generalized Logistic Distribution | dglogis pglogis qglogis rglogis |
| Generalized Weibull Distribution | dgweibull pgweibull qgweibull rgweibull |
| Find the Most Recent Value of a Time-varying Covariate Before Each Observed Response | gettvc |
| Hjorth Distribution | dhjorth phjorth qhjorth rhjorth |
| Vectorized Numerical Integration | int |
| Vectorized Two-dimensional Numerical Integration | int2 |
| Inverse Gaussian Distribution | dinvgauss pinvgauss qinvgauss rinvgauss |
| Produce Individual Time Profiles for Plotting | iprofile iprofile.default plot.iprofile |
| Laplace Distribution | dlaplace plaplace qlaplace rlaplace |
| Levy Distribution | dlevy plevy qlevy rlevy |
| Solution of Autonomous Linear Differential Equations | lin.diff.eqn |
| Create a repeated Object, Leaving NAs | lvna |
| Matrix Exponentiation | mexp |
| Power of a Matrix | %^% |
| Produce Marginal Time Profiles for Plotting | mprofile mprofile.default plot.mprofile |
| Multiplicative Binomial Distribution | dmultbinom pmultbinom qmultbinom rmultbinom |
| Multiplicative Poisson Distribution | dmultpois pmultpois qmultpois rmultpois |
| Pareto Distribution | dpareto ppareto qpareto rpareto |
| Pharmacokinetic Compartment Models | mu1.0o1c mu1.1o1c mu1.1o2c mu1.1o2cc mu1.1o2cl mu2.0o1c mu2.0o1cfp mu2.0o2c1 mu2.0o2c1fp mu2.0o2c2 mu2.0o2c2fp mu2.1o1c mu2.1o1cfp pkpd |
| Plot Residuals | plot.residuals |
| Power Exponential Distribution | dpowexp ppowexp qpowexp rpowexp |
| Power Variance Function Poisson Distribution | dpvfpois ppvfpois qpvfpois rpvfpois |
| Read a List of Matrices from a File for Unbalanced Repeated Measurements | read.list |
| Read a Rectangular Data Set from a File to Create a repeated Object | read.rep |
| Read a List of Matrices from a File for Repeated Times to Events | read.surv |
| Create a response Object | restovec |
| Create a repeated Object, Removing NAs | rmna |
| Utilities for Repeated Measurements Library | rmutil |
| Runge-Kutta Method for Solving Differential Equations | runge.kutta |
| Simplex Distribution | dsimplex psimplex qsimplex rsimplex |
| Skew Laplace Distribution | dskewlaplace pskewlaplace qskewlaplace rskewlaplace |
| Create a Time-constant, Inter-individual Covariate (tccov) Object | tcctomat |
| Create a Time-varying, Intra-individual Covariate (tvcov) Object | tvctomat |
| Two-Sided Power Distribution | dtwosidedpower ptwosidedpower qtwosidedpower rtwosidedpower |
| Find the Response Vector and Design Matrix for a W&R Model Formula | wr |
