Package: lestat 1.9

lestat: A Package for Learning Statistics

Some simple objects and functions to do statistics using linear models and a Bayesian framework.

Authors:Petter Mostad <[email protected]>

lestat_1.9.tar.gz
lestat_1.9.zip(r-4.5)lestat_1.9.zip(r-4.4)lestat_1.9.zip(r-4.3)
lestat_1.9.tgz(r-4.4-any)lestat_1.9.tgz(r-4.3-any)
lestat_1.9.tar.gz(r-4.5-noble)lestat_1.9.tar.gz(r-4.4-noble)
lestat_1.9.tgz(r-4.4-emscripten)lestat_1.9.tgz(r-4.3-emscripten)
lestat.pdf |lestat.html
lestat/json (API)

# Install 'lestat' in R:
install.packages('lestat', repos = c('https://pettermostad.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.28 score 1 packages 64 scripts 183 downloads 202 exports 1 dependencies

Last updated 6 years agofrom:421a9c585b. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-winOKNov 13 2024
R-4.5-linuxOKNov 13 2024
R-4.4-winOKNov 13 2024
R-4.4-macOKNov 13 2024
R-4.3-winOKNov 13 2024
R-4.3-macOKNov 13 2024

Exports:anovatablebetabinomialbetadistributionbinomialbetabinomialdistributioncdfcdf.betabinomialcdf.betadistributioncdf.binomialdistributioncdf.defaultcdf.discretedistributioncdf.expgammacdf.fdistributioncdf.gammadistributioncdf.normalcdf.poissondistributioncdf.tdistributioncdf.uniformdistributioncomposecompose.defaultcompose.discretedistributioncompose.normalcompose.uniformdistributionconditionalconditional.binomialbetaconditional.defaultconditional.mdiscretedistributionconditional.mnormalconditional.mnormalexpgammaconditional.mnormalgammaconditional.mtdistributionconditional.muniformdistributionconditional.normalexpgammaconditional.normalgammacontrastcontrast.defaultcontrast.mnormalexpgammacontrast.mnormalgammacredibilityintervalcredibilityinterval.betadistributioncredibilityinterval.defaultcredibilityinterval.expgammacredibilityinterval.fdistributioncredibilityinterval.gammadistributioncredibilityinterval.normalcredibilityinterval.tdistributiondesignBalanceddesignFactorialdesignManyGroupsdesignOneGroupdesignTwoGroupsdifferencedifference.defaultdifference.normaldifference.tdistributiondiscretedistributionexpectationexpectation.betabinomialexpectation.betadistributionexpectation.binomialdistributionexpectation.defaultexpectation.discretedistributionexpectation.expgammaexpectation.fdistributionexpectation.gammadistributionexpectation.mdiscretedistributionexpectation.mnormalexpectation.mnormalexpgammaexpectation.mnormalgammaexpectation.mtdistributionexpectation.muniformdistributionexpectation.normalexpectation.normalexpgammaexpectation.normalgammaexpectation.poissondistributionexpectation.tdistributionexpectation.uniformdistributionexpgammafdistributionfittedvaluesgammadistributioninvcdfinvcdf.betadistributioninvcdf.binomialdistributioninvcdf.defaultinvcdf.discretedistributioninvcdf.expgammainvcdf.fdistributioninvcdf.gammadistributioninvcdf.normalinvcdf.poissondistributioninvcdf.tdistributioninvcdf.uniformdistributionleastsquareslinearmodellinearpredictlinearpredict.defaultlinearpredict.mnormallinearpredict.mnormalexpgammalinearpredict.mnormalgammalinearpredict.normallinearpredict.normalexpgammalinearpredict.normalgammamarginalmarginal.binomialbetamarginal.defaultmarginal.mdiscretedistributionmarginal.mnormalmarginal.mnormalexpgammamarginal.mnormalgammamarginal.mtdistributionmarginal.muniformdistributionmarginal.normalexpgammamarginal.normalgammamdiscretedistributionmnormalmnormalexpgammamnormalgammamtdistributionmuniformdistributionnormalnormalexpgammanormalgammap.valuep.value.defaultp.value.expgammap.value.fdistributionp.value.gammadistributionp.value.mnormalp.value.mtdistributionp.value.normalp.value.tdistributionpoissondistributionposteriornormal1posteriornormal2precisionprecision.betabinomialprecision.betadistributionprecision.binomialdistributionprecision.defaultprecision.discretedistributionprecision.expgammaprecision.fdistributionprecision.gammadistributionprecision.mdiscretedistributionprecision.mnormalprecision.mnormalexpgammaprecision.mnormalgammaprecision.mtdistributionprecision.muniformdistributionprecision.normalprecision.normalexpgammaprecision.normalgammaprecision.poissondistributionprecision.tdistributionprecision.uniformdistributionprobabilityprobability.betabinomialprobability.binomialdistributionprobability.defaultprobability.discretedistributionprobability.mdiscretedistributionprobability.poissondistributionprobabilitydensityprobabilitydensity.betadistributionprobabilitydensity.defaultprobabilitydensity.expgammaprobabilitydensity.fdistributionprobabilitydensity.gammadistributionprobabilitydensity.mnormalprobabilitydensity.mnormalexpgammaprobabilitydensity.mnormalgammaprobabilitydensity.mtdistributionprobabilitydensity.muniformdistributionprobabilitydensity.normalprobabilitydensity.normalexpgammaprobabilitydensity.normalgammaprobabilitydensity.tdistributionprobabilitydensity.uniformdistributiontdistributionuniformdistributionvariancevariance.betabinomialvariance.betadistributionvariance.binomialdistributionvariance.defaultvariance.discretedistributionvariance.expgammavariance.fdistributionvariance.gammadistributionvariance.mdiscretedistributionvariance.mnormalvariance.mnormalexpgammavariance.mnormalgammavariance.mtdistributionvariance.muniformdistributionvariance.normalvariance.normalexpgammavariance.normalgammavariance.poissondistributionvariance.tdistributionvariance.uniformdistribution

Dependencies:MASS

Readme and manuals

Help Manual

Help pageTopics
LEarning STATistics using Bayesian object oriented computationlestat-package lestat
Computes ANOVA table given data and designanovatable
Create an Object Representing a Beta-Binomial Distributionbetabinomial
A Beta Distributionbetadistribution
Create an Object Representing a bivariate Binomial Beta Distributionbinomialbeta
Create an Object Representing a Binomial Distributionbinomialdistribution
Compute Cumulative Distribution Functioncdf cdf.betabinomial cdf.betadistribution cdf.binomialdistribution cdf.default cdf.discretedistribution cdf.expgamma cdf.fdistribution cdf.gammadistribution cdf.normal cdf.poissondistribution cdf.tdistribution cdf.uniformdistribution
Building a new probability distribution from an old.compose compose.betadistribution compose.default compose.discretedistribution compose.normal compose.uniformdistribution
The Conditional Distributionconditional conditional.binomialbeta conditional.default conditional.mdiscretedistribution conditional.mnormal conditional.mnormalexpgamma conditional.mnormalgamma conditional.mtdistribution conditional.muniformdistribution conditional.normalexpgamma conditional.normalgamma
Computing the distribution of a Contrastcontrast contrast.default contrast.mnormalexpgamma contrast.mnormalgamma
Compute Credibility Interval for a Univariate Distributioncredibilityinterval credibilityinterval.betadistribution credibilityinterval.default credibilityinterval.expgamma credibilityinterval.fdistribution credibilityinterval.gammadistribution credibilityinterval.normal credibilityinterval.tdistribution
Create a Design Matrix for a Balanced DesigndesignBalanced
Create a Design Matrix for a Factorial DesigndesignFactorial
Create a Design Matrix for Several Groups of Normal ObservationsdesignManyGroups
Create a Design Matrix for One Group of ObservationsdesignOneGroup
Create a Design Matrix for Two Groups of ObservationsdesignTwoGroups
Create Object Representing Difference Between Two Distributionsdifference difference.default difference.normal difference.tdistribution
Create Object Representing a Discrete Distributiondiscretedistribution
Compute Expectationexpectation expectation.betabinomial expectation.betadistribution expectation.binomialdistribution expectation.default expectation.discretedistribution expectation.expgamma expectation.fdistribution expectation.gammadistribution expectation.mdiscretedistribution expectation.mnormal expectation.mnormalexpgamma expectation.mnormalgamma expectation.mtdistribution expectation.muniformdistribution expectation.normal expectation.normalexpgamma expectation.normalgamma expectation.poissondistribution expectation.tdistribution expectation.uniformdistribution
Create an ExpGamma distributionexpgamma
Create an F distributionfdistribution
Compute Fitted Values for a Linear Modelfittedvalues
Create a Gamma Distributiongammadistribution
Compute the Inverse Cumulative Distribution Functioninvcdf invcdf.betadistribution invcdf.binomialdistribution invcdf.default invcdf.discretedistribution invcdf.expgamma invcdf.fdistribution invcdf.gammadistribution invcdf.normal invcdf.poissondistribution invcdf.tdistribution invcdf.uniformdistribution
Find the Least Squares Solution in a Linear Modelleastsquares
Compute the Posterior Distribution for a Linear Modellinearmodel
Create a Linear Extension of a Distributionlinearpredict linearpredict.default linearpredict.mnormal linearpredict.mnormalexpgamma linearpredict.mnormalgamma linearpredict.normal linearpredict.normalexpgamma linearpredict.normalgamma
A Marginal of a Multivariate Distributionmarginal marginal.binomialbeta marginal.default marginal.mdiscretedistribution marginal.mnormal marginal.mnormalexpgamma marginal.mnormalgamma marginal.mtdistribution marginal.muniformdistribution marginal.normalexpgamma marginal.normalgamma
Create Object Representing a Multivariate Discrete Distributionmdiscretedistribution
A Multivariate Normal Distributionmnormal
A Multivariate Normal-ExpGamma Distributionmnormalexpgamma
A Multivariate Normal-Gamma Distributionmnormalgamma
A Multivariate t-Distributionmtdistribution
A Multivariate Uniform Distributionmuniformdistribution
A Normal Distributionnormal
A Normal-ExpGamma Distributionnormalexpgamma
A Normal-Gamma Distributionnormalgamma
Compute the p-value for a Distributionp.value p.value.default p.value.expgamma p.value.fdistribution p.value.gammadistribution p.value.mnormal p.value.mtdistribution p.value.normal p.value.tdistribution
Plotting a Probability Distributionplot.betabinomial plot.betadistribution plot.binomialbeta plot.binomialdistribution plot.discretedistribution plot.expgamma plot.fdistribution plot.gammadistribution plot.mdiscretedistribution plot.mnormal plot.mnormalexpgamma plot.mnormalgamma plot.mtdistribution plot.muniformdistribution plot.normal plot.normalexpgamma plot.normalgamma plot.poissondistribution plot.tdistribution plot.uniformdistribution
A Poissondistributionpoissondistribution
Compute the Posterior Distribution for Parameters of One Normal Distributionposteriornormal1
Compute a Posterior Distribution for Parameters of Two Normal Distributionsposteriornormal2
The Precision of a Distributionprecision precision.betabinomial precision.betadistribution precision.binomialdistribution precision.default precision.discretedistribution precision.expgamma precision.fdistribution precision.gammadistribution precision.mdiscretedistribution precision.mnormal precision.mnormalexpgamma precision.mnormalgamma precision.mtdistribution precision.muniformdistribution precision.normal precision.normalexpgamma precision.normalgamma precision.poissondistribution precision.tdistribution precision.uniformdistribution
Printing Probability Distributionsprint.betabinomial print.betadistribution print.binomialbeta print.binomialdistribution print.discretedistribution print.expgamma print.fdistribution print.gammadistribution print.mdiscretedistribution print.mnormal print.mnormalexpgamma print.mnormalgamma print.mtdistribution print.muniformdistribution print.normal print.normalexpgamma print.normalgamma print.poissondistribution print.tdistribution print.uniformdistribution
The Probability at a Value for a Discrete Distributionprobability probability.betabinomial probability.binomialdistribution probability.default probability.discretedistribution probability.mdiscretedistribution probability.poissondistribution
The Probability Density at a Value for a Continuous Distributionprobabilitydensity probabilitydensity.betadistribution probabilitydensity.default probabilitydensity.expgamma probabilitydensity.fdistribution probabilitydensity.gammadistribution probabilitydensity.mnormal probabilitydensity.mnormalexpgamma probabilitydensity.mnormalgamma probabilitydensity.mtdistribution probabilitydensity.muniformdistribution probabilitydensity.normal probabilitydensity.normalexpgamma probabilitydensity.normalgamma probabilitydensity.tdistribution probabilitydensity.uniformdistribution
Simulate values from a Probability Distributionsimulate.betabinomial simulate.betadistribution simulate.binomialbeta simulate.binomialdistribution simulate.discretedistribution simulate.expgamma simulate.fdistribution simulate.gammadistribution simulate.mdiscretedistribution simulate.mnormal simulate.mnormalexpgamma simulate.mnormalgamma simulate.mtdistribution simulate.muniformdistribution simulate.normal simulate.normalexpgamma simulate.normalgamma simulate.poissondistribution simulate.tdistribution simulate.uniformdistribution
Summary of a Probability Distribution Objectsummary.betabinomial summary.betadistribution summary.binomialbeta summary.binomialdistribution summary.discretedistribution summary.expgamma summary.fdistribution summary.gammadistribution summary.mdiscretedistribution summary.mnormal summary.mnormalexpgamma summary.mnormalgamma summary.mtdistribution summary.muniformdistribution summary.normal summary.normalexpgamma summary.normalgamma summary.poissondistribution summary.tdistribution summary.uniformdistribution
A t-distributiontdistribution
A Uniform Distributionuniformdistribution
The Variance of a Distributionvariance variance.betabinomial variance.betadistribution variance.binomialdistribution variance.default variance.discretedistribution variance.expgamma variance.fdistribution variance.gammadistribution variance.mdiscretedistribution variance.mnormal variance.mnormalexpgamma variance.mnormalgamma variance.mtdistribution variance.muniformdistribution variance.normal variance.normalexpgamma variance.normalgamma variance.poissondistribution variance.tdistribution variance.uniformdistribution