Lists distr6 distributions in a data.table or a character vector, can be filtered by traits, implemented package, and tags.
listDistributions(simplify = FALSE, filter = NULL)Either a list of characters (if simplify is TRUE) or a data.table of
SDistributions and their traits.
listDistributions()
#> ShortName ClassName Type ValueSupport VariateForm
#> <char> <char> <char> <char> <char>
#> 1: Arc Arcsine ℝ continuous univariate
#> 2: Arrdist Arrdist ℝ^K discrete univariate
#> 3: Bern Bernoulli ℕ0 discrete univariate
#> 4: Beta Beta ℝ+ continuous univariate
#> 5: BetaNC BetaNoncentral ℝ+ continuous univariate
#> 6: Binom Binomial ℕ0 discrete univariate
#> 7: Cat Categorical V discrete univariate
#> 8: Cauchy Cauchy ℝ continuous univariate
#> 9: ChiSq ChiSquared ℝ+ continuous univariate
#> 10: ChiSqNC ChiSquaredNoncentral ℝ+ continuous univariate
#> 11: Degen Degenerate ℝ discrete univariate
#> 12: Diri Dirichlet [0,1]^K continuous multivariate
#> 13: DUnif DiscreteUniform ℤ discrete univariate
#> 14: Emp Empirical ℝ discrete univariate
#> 15: EmpMV EmpiricalMV ℝ discrete multivariate
#> 16: Erlang Erlang ℝ+ continuous univariate
#> 17: Exp Exponential ℝ+ continuous univariate
#> 18: F FDistribution ℝ+ continuous univariate
#> 19: FNC FDistributionNoncentral ℝ+ continuous univariate
#> 20: Frec Frechet ℝ continuous univariate
#> 21: Gamma Gamma ℝ+ continuous univariate
#> 22: Geom Geometric ℕ0 discrete univariate
#> 23: Gomp Gompertz ℝ+ continuous univariate
#> 24: Gumb Gumbel ℝ+ continuous univariate
#> 25: Hyper Hypergeometric ℕ0 discrete univariate
#> 26: InvGamma InverseGamma ℝ+ continuous univariate
#> 27: Lap Laplace ℝ continuous univariate
#> 28: Log Logarithmic ℕ0 discrete univariate
#> 29: Logis Logistic ℝ continuous univariate
#> 30: LLogis Loglogistic ℝ+ continuous univariate
#> 31: Lnorm Lognormal ℝ+ continuous univariate
#> 32: Matdist Matdist ℝ^K discrete univariate
#> 33: Multinom Multinomial ℕ0^K discrete multivariate
#> 34: MultiNorm MultivariateNormal ℝ^K continuous multivariate
#> 35: NBinom NegativeBinomial ℕ0 discrete univariate
#> 36: Norm Normal ℝ continuous univariate
#> 37: Pare Pareto ℝ+ continuous univariate
#> 38: Pois Poisson ℕ0 discrete univariate
#> 39: Rayl Rayleigh ℝ+ continuous univariate
#> 40: ShiftLLogis ShiftedLoglogistic ℝ+ continuous univariate
#> 41: T StudentT ℝ continuous univariate
#> 42: TNC StudentTNoncentral ℝ continuous univariate
#> 43: Tri Triangular ℝ continuous univariate
#> 44: Unif Uniform ℝ continuous univariate
#> 45: Wald Wald ℝ+ continuous univariate
#> 46: Weibull Weibull ℝ+ continuous univariate
#> 47: WeightDisc WeightedDiscrete ℝ discrete univariate
#> ShortName ClassName Type ValueSupport VariateForm
#> Package Tags Alias
#> <char> <char> <char>
#> 1: - limits AS
#> 2: - AD
#> 3: stats B
#> 4: stats BT
#> 5: stats BTNC
#> 6: stats limits BM, Bin
#> 7: - C
#> 8: stats locscale CH
#> 9: stats CSQ, CHI, C2
#> 10: stats CSQNC, CHINC, C2NC
#> 11: - limits DGN, Deg, Delta, Dirac
#> 12: extraDistr DRC
#> 13: extraDistr limits DU
#> 14: - E
#> 15: - EMV
#> 16: stats ER
#> 17: stats scale EX
#> 18: stats FD
#> 19: stats FDNC
#> 20: extraDistr locscale FR
#> 21: stats G, Gam
#> 22: stats GM, Geo
#> 23: - GPZ, Gom
#> 24: extraDistr locscale GB, Gum
#> 25: stats limits HGM
#> 26: extraDistr IG, InvGam
#> 27: extraDistr locscale LP
#> 28: extraDistr L
#> 29: stats locscale LG
#> 30: actuar LL, LLG
#> 31: stats LN
#> 32: - MD
#> 33: extraDistr limits MN
#> 34: - locscale MVN
#> 35: - limits NB
#> 36: stats locscale N
#> 37: extraDistr PR, Par
#> 38: stats P, Poi, Pois
#> 39: extraDistr scale RY, Ray
#> 40: - SLL
#> 41: stats ST
#> 42: stats STNC
#> 43: extraDistr limits TR
#> 44: stats limits U, Uni
#> 45: extraDistr W
#> 46: stats WB, Weib
#> 47: - WD
#> Package Tags Alias
# Filter list
listDistributions(filter = list(VariateForm = "univariate"))
#> ShortName ClassName Type ValueSupport VariateForm
#> <char> <char> <char> <char> <char>
#> 1: Arc Arcsine ℝ continuous univariate
#> 2: Arrdist Arrdist ℝ^K discrete univariate
#> 3: Bern Bernoulli ℕ0 discrete univariate
#> 4: Beta Beta ℝ+ continuous univariate
#> 5: BetaNC BetaNoncentral ℝ+ continuous univariate
#> 6: Binom Binomial ℕ0 discrete univariate
#> 7: Cat Categorical V discrete univariate
#> 8: Cauchy Cauchy ℝ continuous univariate
#> 9: ChiSq ChiSquared ℝ+ continuous univariate
#> 10: ChiSqNC ChiSquaredNoncentral ℝ+ continuous univariate
#> 11: Degen Degenerate ℝ discrete univariate
#> 12: DUnif DiscreteUniform ℤ discrete univariate
#> 13: Emp Empirical ℝ discrete univariate
#> 14: Erlang Erlang ℝ+ continuous univariate
#> 15: Exp Exponential ℝ+ continuous univariate
#> 16: F FDistribution ℝ+ continuous univariate
#> 17: FNC FDistributionNoncentral ℝ+ continuous univariate
#> 18: Frec Frechet ℝ continuous univariate
#> 19: Gamma Gamma ℝ+ continuous univariate
#> 20: Geom Geometric ℕ0 discrete univariate
#> 21: Gomp Gompertz ℝ+ continuous univariate
#> 22: Gumb Gumbel ℝ+ continuous univariate
#> 23: Hyper Hypergeometric ℕ0 discrete univariate
#> 24: InvGamma InverseGamma ℝ+ continuous univariate
#> 25: Lap Laplace ℝ continuous univariate
#> 26: Log Logarithmic ℕ0 discrete univariate
#> 27: Logis Logistic ℝ continuous univariate
#> 28: LLogis Loglogistic ℝ+ continuous univariate
#> 29: Lnorm Lognormal ℝ+ continuous univariate
#> 30: Matdist Matdist ℝ^K discrete univariate
#> 31: NBinom NegativeBinomial ℕ0 discrete univariate
#> 32: Norm Normal ℝ continuous univariate
#> 33: Pare Pareto ℝ+ continuous univariate
#> 34: Pois Poisson ℕ0 discrete univariate
#> 35: Rayl Rayleigh ℝ+ continuous univariate
#> 36: ShiftLLogis ShiftedLoglogistic ℝ+ continuous univariate
#> 37: T StudentT ℝ continuous univariate
#> 38: TNC StudentTNoncentral ℝ continuous univariate
#> 39: Tri Triangular ℝ continuous univariate
#> 40: Unif Uniform ℝ continuous univariate
#> 41: Wald Wald ℝ+ continuous univariate
#> 42: Weibull Weibull ℝ+ continuous univariate
#> 43: WeightDisc WeightedDiscrete ℝ discrete univariate
#> ShortName ClassName Type ValueSupport VariateForm
#> Package Tags Alias
#> <char> <char> <char>
#> 1: - limits AS
#> 2: - AD
#> 3: stats B
#> 4: stats BT
#> 5: stats BTNC
#> 6: stats limits BM, Bin
#> 7: - C
#> 8: stats locscale CH
#> 9: stats CSQ, CHI, C2
#> 10: stats CSQNC, CHINC, C2NC
#> 11: - limits DGN, Deg, Delta, Dirac
#> 12: extraDistr limits DU
#> 13: - E
#> 14: stats ER
#> 15: stats scale EX
#> 16: stats FD
#> 17: stats FDNC
#> 18: extraDistr locscale FR
#> 19: stats G, Gam
#> 20: stats GM, Geo
#> 21: - GPZ, Gom
#> 22: extraDistr locscale GB, Gum
#> 23: stats limits HGM
#> 24: extraDistr IG, InvGam
#> 25: extraDistr locscale LP
#> 26: extraDistr L
#> 27: stats locscale LG
#> 28: actuar LL, LLG
#> 29: stats LN
#> 30: - MD
#> 31: - limits NB
#> 32: stats locscale N
#> 33: extraDistr PR, Par
#> 34: stats P, Poi, Pois
#> 35: extraDistr scale RY, Ray
#> 36: - SLL
#> 37: stats ST
#> 38: stats STNC
#> 39: extraDistr limits TR
#> 40: stats limits U, Uni
#> 41: extraDistr W
#> 42: stats WB, Weib
#> 43: - WD
#> Package Tags Alias
# Filter is case-insensitive
listDistributions(filter = list(VaLuESupport = "discrete"))
#> ShortName ClassName Type ValueSupport VariateForm Package
#> <char> <char> <char> <char> <char> <char>
#> 1: Arrdist Arrdist ℝ^K discrete univariate -
#> 2: Bern Bernoulli ℕ0 discrete univariate stats
#> 3: Binom Binomial ℕ0 discrete univariate stats
#> 4: Cat Categorical V discrete univariate -
#> 5: Degen Degenerate ℝ discrete univariate -
#> 6: DUnif DiscreteUniform ℤ discrete univariate extraDistr
#> 7: Emp Empirical ℝ discrete univariate -
#> 8: EmpMV EmpiricalMV ℝ discrete multivariate -
#> 9: Geom Geometric ℕ0 discrete univariate stats
#> 10: Hyper Hypergeometric ℕ0 discrete univariate stats
#> 11: Log Logarithmic ℕ0 discrete univariate extraDistr
#> 12: Matdist Matdist ℝ^K discrete univariate -
#> 13: Multinom Multinomial ℕ0^K discrete multivariate extraDistr
#> 14: NBinom NegativeBinomial ℕ0 discrete univariate -
#> 15: Pois Poisson ℕ0 discrete univariate stats
#> 16: WeightDisc WeightedDiscrete ℝ discrete univariate -
#> Tags Alias
#> <char> <char>
#> 1: AD
#> 2: B
#> 3: limits BM, Bin
#> 4: C
#> 5: limits DGN, Deg, Delta, Dirac
#> 6: limits DU
#> 7: E
#> 8: EMV
#> 9: GM, Geo
#> 10: limits HGM
#> 11: L
#> 12: MD
#> 13: limits MN
#> 14: limits NB
#> 15: P, Poi, Pois
#> 16: WD
# Multiple filters
listDistributions(filter = list(VaLuESupport = "discrete", package = "extraDistr"))
#> ShortName ClassName Type ValueSupport VariateForm Package Tags
#> <char> <char> <char> <char> <char> <char> <char>
#> 1: DUnif DiscreteUniform ℤ discrete univariate extraDistr limits
#> 2: Log Logarithmic ℕ0 discrete univariate extraDistr
#> 3: Multinom Multinomial ℕ0^K discrete multivariate extraDistr limits
#> Alias
#> <char>
#> 1: DU
#> 2: L
#> 3: MN