package ocaml-r

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Utilities
Random number generators
Normal distribution
Uniform distribution
Gamma distribution
Beta distribution
Lognormal distribution
Chi-squared distribution
F distribution
Student t distribution
Binomial distribution
Cauchy distribution
Exponential distribution
Geometric distribution
Hypergeometric distribution
Negative binomial distribution
Poisson distribution
Weibull distribution
Logistic distribution
Studentized Range distribution
Wilcoxon Rank Sum distribution
Wilcoxon Sign Rank distribution
Gamma and related functions
Bessel functions
General support functions

package ocaml-r

OCamlR: use the R environment for statistical computing and graphics from OCaml.
- Library ocaml-r
  - OCamlR
    
    SXP
    
    Sexp
    
    Nilsxp
    
    Dotsxp
    
    Envsxp
    
    Langsxp
    
    Symsxp
    
    Vector
    
    Atomic_vector
    
    Intsxp
    
    Lglsxp
    
    Realsxp
    
    Strsxp
    
    Vecsxp
    
    Sexptype
    
    Conversion
    
    Enc
    
    Dec
    
    Environment
    
    Standard_environment
    
    Interpreter_initialization
    
    Low_level
- Library ocaml-r.base
  - OCamlR_base
    
    Environment
    
    Matrix
    
    Vector
    
    Matrix
    
    Numeric
    
    Matrix
    
    Logical
    
    Matrix
    
    Integer
    
    Matrix
    
    Character
    
    Matrix
    
    Factor
    
    Matrix
    
    List_
    
    Dataframe
    
    Formula
  - OCamlR_base_stubs2
    
    Matrix
- Library ocaml-r.grDevices
  - OCamlR_grDevices
- Library ocaml-r.graphics
  - OCamlR_graphics
    
    Enc
  - OCamlR_graphics_stubs
- Library ocaml-r.interpreter
  - OCamlR_interpreter
- Library ocaml-r.math
  - OCamlR_math
- Library ocaml-r.methods
  - OCamlR_methods
- Library ocaml-r.stats
  - OCamlR_stats
    
    Ecdf
    
    Test
    
    T'test
    
    Fisher'test
    
    Chisq'test
    
    Ks'test
  - OCamlR_stats_stubs
    
    Symbol
- Library ocaml-r.utils
  - OCamlR_utils
- Library ocaml-r.wraputils
  - OCamlR_wraputils
- Sources
  - ocaml-r
    
    OCamlR.ml
    
    oCamlR__.ml
  - ocaml-r.base
    
    OCamlR_base.ml
    
    OCamlR_base_stubs2.ml
  - ocaml-r.grDevices
    
    OCamlR_grDevices.ml
  - ocaml-r.graphics
    
    OCamlR_graphics.ml
    
    OCamlR_graphics_stubs.ml
  - ocaml-r.interpreter
    
    OCamlR_interpreter.ml
  - ocaml-r.math
    
    OCamlR_math.ml
  - ocaml-r.methods
    
    OCamlR_methods.ml
  - ocaml-r.stats
    
    OCamlR_stats.ml
    
    OCamlR_stats_stubs.ml
  - ocaml-r.utils
    
    OCamlR_utils.ml
  - ocaml-r.wraputils
    
    OCamlR_wraputils.ml

Legend:
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Library
Module
Module type
Parameter
Class
Class type
Source

Module `OCamlR_math`Source

Access to the R math library.

Utilities

Sourceval pow : float -> float -> float

pow x y is the exponentiation of base x and power y.

Sourceval pow_di : float -> int -> float

pow x n is the exponentiation of base x and integer power n.

Random number generators

Sourceval norm_rand : unit -> float

Random variates from the standard normal distribution.

Sourceval unif_rand : unit -> float

Random variates from the uniform distribution, using * Marsaglia MultiCarry methodology for random number generation.

Sourceval exp_rand : unit -> float

Random variates from the standard exponential distribution.

Normal distribution

Sourceval dnorm : ?mean:float -> ?sd:float -> ?log:bool -> float -> float

dnorm ~mean:mu ~sd:sigma ~log:give_log x computes the density of the normal distribution.

parameter mean
Mean of the normal distribution.

parameter sd
Standard deviation of the normal distribution.

parameter log
If true, returns the logarithm of the density.

Source

val pnorm : 
  ?mean:float ->
  ?sd:float ->
  ?lower_tail:bool ->
  ?logp:bool ->
  float ->
  float

Source

val qnorm : 
  ?mean:float ->
  ?sd:float ->
  ?lower_tail:bool ->
  ?logp:bool ->
  float ->
  float

Sourceval rnorm : ?mean:float -> ?sd:float -> unit -> float

Uniform distribution

Sourceval dunif : ?min:float -> ?max:float -> ?log:bool -> float -> float

Source

val punif : 
  ?min:float ->
  ?max:float ->
  ?lower_tail:bool ->
  ?logp:bool ->
  float ->
  float

Source

val qunif : 
  ?min:float ->
  ?max:float ->
  ?lower_tail:bool ->
  ?logp:bool ->
  float ->
  float

Sourceval runif : ?min:float -> ?max:float -> unit -> float

Gamma distribution

Sourceval dgamma : ?scale:float -> ?log:bool -> shape:float -> float -> float

Source

val pgamma : 
  ?scale:float ->
  ?lower_tail:bool ->
  ?logp:bool ->
  shape:float ->
  float ->
  float

Source

val qgamma : 
  ?scale:float ->
  ?lower_tail:bool ->
  ?logp:bool ->
  shape:float ->
  float ->
  float

Sourceval rgamma : ?scale:float -> float -> float

Sourceval logspace_add : float -> float -> float

Sourceval logspace_sub : float -> float -> float

Beta distribution

Sourceval dbeta : ?ncp:float -> ?log:bool -> a:float -> b:float -> float -> float

Source

val pbeta : 
  ?ncp:float ->
  ?lower_tail:bool ->
  ?logp:bool ->
  a:float ->
  b:float ->
  float ->
  float

Source

val qbeta : 
  ?ncp:float ->
  ?lower_tail:bool ->
  ?logp:bool ->
  a:float ->
  b:float ->
  float ->
  float

Sourceval rbeta : a:float -> b:float -> float

Lognormal distribution

Sourceval dlnorm : ?meanlog:float -> ?sdlog:float -> ?log:bool -> float -> float

Source

val plnorm : 
  ?meanlog:float ->
  ?sdlog:float ->
  ?lower_tail:bool ->
  ?logp:bool ->
  float ->
  float

Source

val qlnorm : 
  ?meanlog:float ->
  ?sdlog:float ->
  ?lower_tail:bool ->
  ?logp:bool ->
  float ->
  float

Sourceval rlnorm : ?meanlog:float -> ?sdlog:float -> unit -> float

Chi-squared distribution

Sourceval dchisq : ?ncp:float -> ?log:bool -> df:float -> float -> float

Source

val pchisq : 
  ?ncp:float ->
  ?lower_tail:bool ->
  ?logp:bool ->
  df:float ->
  float ->
  float

Source

val qchisq : 
  ?ncp:float ->
  ?lower_tail:bool ->
  ?logp:bool ->
  df:float ->
  float ->
  float

Sourceval rchisq : ?ncp:float -> float -> float

F distribution

Sourceval df : ?ncp:float -> ?log:bool -> df1:float -> df2:float -> float -> float

Source

val pf : 
  ?ncp:float ->
  ?lower_tail:bool ->
  ?logp:bool ->
  df1:float ->
  df2:float ->
  float ->
  float

Source

val qf : 
  ?ncp:float ->
  ?lower_tail:bool ->
  ?logp:bool ->
  df1:float ->
  df2:float ->
  float ->
  float

Sourceval rf : df1:float -> df2:float -> float

Student t distribution

Sourceval dt : ?ncp:float -> ?log:bool -> df:float -> float -> float

Source

val pt : 
  ?ncp:float ->
  ?lower_tail:bool ->
  ?logp:bool ->
  df:float ->
  float ->
  float

Source

val qt : 
  ?ncp:float ->
  ?lower_tail:bool ->
  ?logp:bool ->
  df:float ->
  float ->
  float

Sourceval rt : float -> float

Binomial distribution

Sourceval dbinom : ?log:bool -> size:float -> prob:float -> float -> float

Source

val pbinom : 
  ?lower_tail:bool ->
  ?logp:bool ->
  size:float ->
  prob:float ->
  float ->
  float

Source

val qbinom : 
  ?lower_tail:bool ->
  ?logp:bool ->
  size:float ->
  prob:float ->
  float ->
  float

Sourceval rbinom : size:float -> prob:float -> float

Cauchy distribution

Sourceval dcauchy : ?location:float -> ?scale:float -> ?log:bool -> float -> float

Source

val pcauchy : 
  ?location:float ->
  ?scale:float ->
  ?lower_tail:bool ->
  ?logp:bool ->
  float ->
  float

Source

val qcauchy : 
  ?location:float ->
  ?scale:float ->
  ?lower_tail:bool ->
  ?logp:bool ->
  float ->
  float

Sourceval rcauchy : ?location:float -> ?scale:float -> unit -> float

Exponential distribution

Sourceval dexp : ?rate:float -> ?log:bool -> float -> float

Sourceval pexp : ?rate:float -> ?lower_tail:bool -> ?logp:bool -> float -> float

Sourceval qexp : ?rate:float -> ?lower_tail:bool -> ?logp:bool -> float -> float

Sourceval rexp : ?rate:float -> unit -> float

Geometric distribution

Sourceval dgeom : ?log:bool -> prob:float -> float -> float

Sourceval pgeom : ?lower_tail:bool -> ?logp:bool -> prob:float -> float -> float

Sourceval qgeom : ?lower_tail:bool -> ?logp:bool -> prob:float -> float -> float

Sourceval rgeom : float -> float

Hypergeometric distribution

Sourceval dhyper : ?log:bool -> m:float -> n:float -> k:float -> float -> float

Source

val phyper : 
  ?lower_tail:bool ->
  ?logp:bool ->
  m:float ->
  n:float ->
  k:float ->
  float ->
  float

Source

val qhyper : 
  ?lower_tail:bool ->
  ?logp:bool ->
  m:float ->
  n:float ->
  k:float ->
  float ->
  float

Sourceval rhyper : m:float -> n:float -> k:float -> float

Negative binomial distribution

Sourceval dnbinom : ?log:bool -> size:float -> prob:float -> float -> float

Source

val pnbinom : 
  ?lower_tail:bool ->
  ?logp:bool ->
  size:float ->
  prob:float ->
  float ->
  float

Source

val qnbinom : 
  ?lower_tail:bool ->
  ?logp:bool ->
  size:float ->
  prob:float ->
  float ->
  float

Sourceval rnbinom : size:float -> prob:float -> float

Poisson distribution

Sourceval dpois : ?log:bool -> lambda:float -> float -> float

Sourceval ppois : ?lower_tail:bool -> ?logp:bool -> lambda:float -> float -> float

Sourceval qpois : ?lower_tail:bool -> ?logp:bool -> lambda:float -> float -> float

Sourceval rpois : float -> float

Weibull distribution

Sourceval dweibull : ?scale:float -> ?log:bool -> shape:float -> float -> float

Source

val pweibull : 
  ?scale:float ->
  ?lower_tail:bool ->
  ?logp:bool ->
  shape:float ->
  float ->
  float

Source

val qweibull : 
  ?scale:float ->
  ?lower_tail:bool ->
  ?logp:bool ->
  shape:float ->
  float ->
  float

Sourceval rweibull : ?scale:float -> float -> float

Logistic distribution

Sourceval dlogis : ?location:float -> ?scale:float -> ?log:bool -> float -> float

Source

val plogis : 
  ?location:float ->
  ?scale:float ->
  ?lower_tail:bool ->
  ?logp:bool ->
  float ->
  float

Source

val qlogis : 
  ?location:float ->
  ?scale:float ->
  ?lower_tail:bool ->
  ?logp:bool ->
  float ->
  float

Sourceval rlogis : ?location:float -> ?scale:float -> unit -> float

Studentized Range distribution

Source

val ptukey : 
  ?nranges:float ->
  ?lower_tail:bool ->
  ?logp:bool ->
  nmeans:float ->
  df:float ->
  float ->
  float

Source

val qtukey : 
  ?nranges:float ->
  ?lower_tail:bool ->
  ?logp:bool ->
  nmeans:float ->
  df:float ->
  float ->
  float

Wilcoxon Rank Sum distribution

Sourceval dwilcox : ?log:bool -> m:float -> n:float -> float -> float

Source

val pwilcox : 
  ?lower_tail:bool ->
  ?logp:bool ->
  m:float ->
  n:float ->
  float ->
  float

Source

val qwilcox : 
  ?lower_tail:bool ->
  ?logp:bool ->
  m:float ->
  n:float ->
  float ->
  float

Sourceval rwilcox : m:float -> n:float -> float

Wilcoxon Sign Rank distribution

Sourceval dsignrank : ?log:bool -> n:float -> float -> float

Sourceval psignrank : ?lower_tail:bool -> ?logp:bool -> n:float -> float -> float

Sourceval qsignrank : ?lower_tail:bool -> ?logp:bool -> n:float -> float -> float

Sourceval rsignrank : float -> float

Sourceval gammafn : float -> float

Sourceval lgammafn : float -> float

Sourceval psigamma : ?deriv:float -> float -> float

Sourceval digamma : float -> float

Sourceval trigamma : float -> float

Sourceval beta : a:float -> b:float -> float

Sourceval lbeta : a:float -> b:float -> float

Sourceval choose : n:float -> k:float -> float

Sourceval lchoose : n:float -> k:float -> float

Bessel functions

Sourceval bessel_i : ?expon_scaled:bool -> nu:float -> float -> float

Sourceval bessel_k : ?expon_scaled:bool -> nu:float -> float -> float

Sourceval bessel_j : x:float -> nu:float -> float

Sourceval bessel_y : x:float -> nu:float -> float

General support functions

Sourceval sign : float -> float

Sourceval ftrunc : float -> float

Sourceval fround : ?digits:int -> float -> float

Sourceval fsign : ?digits:int -> float -> float

Sourceval log1pmx : float -> float

Sourceval lgamma1p : float -> float

package ocaml-r

Module OCamlR_mathSource

Utilities

Random number generators

Normal distribution

Uniform distribution

Gamma distribution

Beta distribution

Lognormal distribution

Chi-squared distribution

F distribution

Student t distribution

Binomial distribution

Cauchy distribution

Exponential distribution

Geometric distribution

Hypergeometric distribution

Negative binomial distribution

Poisson distribution

Weibull distribution

Logistic distribution

Studentized Range distribution

Wilcoxon Rank Sum distribution

Wilcoxon Sign Rank distribution

Gamma and related functions

Bessel functions

General support functions

Module `OCamlR_math`Source