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:
lestat_1.9.tar.gz
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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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:421a9c585b. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 13 2024 |
R-4.5-win | OK | Nov 13 2024 |
R-4.5-linux | OK | Nov 13 2024 |
R-4.4-win | OK | Nov 13 2024 |
R-4.4-mac | OK | Nov 13 2024 |
R-4.3-win | OK | Nov 13 2024 |
R-4.3-mac | OK | Nov 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 page | Topics |
---|---|
LEarning STATistics using Bayesian object oriented computation | lestat-package lestat |
Computes ANOVA table given data and design | anovatable |
Create an Object Representing a Beta-Binomial Distribution | betabinomial |
A Beta Distribution | betadistribution |
Create an Object Representing a bivariate Binomial Beta Distribution | binomialbeta |
Create an Object Representing a Binomial Distribution | binomialdistribution |
Compute Cumulative Distribution Function | cdf 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 Distribution | conditional 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 Contrast | contrast contrast.default contrast.mnormalexpgamma contrast.mnormalgamma |
Compute Credibility Interval for a Univariate Distribution | credibilityinterval credibilityinterval.betadistribution credibilityinterval.default credibilityinterval.expgamma credibilityinterval.fdistribution credibilityinterval.gammadistribution credibilityinterval.normal credibilityinterval.tdistribution |
Create a Design Matrix for a Balanced Design | designBalanced |
Create a Design Matrix for a Factorial Design | designFactorial |
Create a Design Matrix for Several Groups of Normal Observations | designManyGroups |
Create a Design Matrix for One Group of Observations | designOneGroup |
Create a Design Matrix for Two Groups of Observations | designTwoGroups |
Create Object Representing Difference Between Two Distributions | difference difference.default difference.normal difference.tdistribution |
Create Object Representing a Discrete Distribution | discretedistribution |
Compute Expectation | expectation 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 distribution | expgamma |
Create an F distribution | fdistribution |
Compute Fitted Values for a Linear Model | fittedvalues |
Create a Gamma Distribution | gammadistribution |
Compute the Inverse Cumulative Distribution Function | invcdf 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 Model | leastsquares |
Compute the Posterior Distribution for a Linear Model | linearmodel |
Create a Linear Extension of a Distribution | linearpredict linearpredict.default linearpredict.mnormal linearpredict.mnormalexpgamma linearpredict.mnormalgamma linearpredict.normal linearpredict.normalexpgamma linearpredict.normalgamma |
A Marginal of a Multivariate Distribution | marginal 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 Distribution | mdiscretedistribution |
A Multivariate Normal Distribution | mnormal |
A Multivariate Normal-ExpGamma Distribution | mnormalexpgamma |
A Multivariate Normal-Gamma Distribution | mnormalgamma |
A Multivariate t-Distribution | mtdistribution |
A Multivariate Uniform Distribution | muniformdistribution |
A Normal Distribution | normal |
A Normal-ExpGamma Distribution | normalexpgamma |
A Normal-Gamma Distribution | normalgamma |
Compute the p-value for a Distribution | p.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 Distribution | plot.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 Poissondistribution | poissondistribution |
Compute the Posterior Distribution for Parameters of One Normal Distribution | posteriornormal1 |
Compute a Posterior Distribution for Parameters of Two Normal Distributions | posteriornormal2 |
The Precision of a Distribution | precision 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 Distributions | print.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 Distribution | probability probability.betabinomial probability.binomialdistribution probability.default probability.discretedistribution probability.mdiscretedistribution probability.poissondistribution |
The Probability Density at a Value for a Continuous Distribution | probabilitydensity 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 Distribution | simulate.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 Object | summary.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-distribution | tdistribution |
A Uniform Distribution | uniformdistribution |
The Variance of a Distribution | variance 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 |