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    -------- pdf, cdf, inverse and random deviate functions --------

    beta_cdf    : cdf of the beta distribution
    beta_d      : demo of beta distribution functions
    beta_inv    : inverse of the cdf (quantile) of the beta(a,b) distribution
    beta_pdf    : pdf of the beta(a,b) distribution
    beta_rnd    : random draws from the beta(a,b) distribution
    bincoef     : generate binomial coefficients
    bingen      : generate binomial probability
    bino_cdf    : cdf at x of the binomial(n,p) distribution
    bino_d      : demo of binomial distribution functions
    bino_pdf    : pdf at x of the binomial(n,p) distribution
    bino_rnd    : random sampling from a binomial distribution
    chis_cdf    : returns the cdf at x of the chisquared(n) distribution
    chis_d      : demo of chis-squared distribution functions
    chis_inv    : returns the inverse (quantile) at x of the chisq(n) distribution
    chis_pdf    : returns the pdf at x of the chisquared(n) distribution
    chis_prb    : computes the chi-squared probability function
    chis_rnd    : generates random chi-squared deviates
    com_size    : makes a,b scalars equal to constant matrices size(x)
    demo_distr  : demo all distribution functions
    fdis_cdf    : returns cdf at x of the F(a,b) distribution
    fdis_d      : demo of F-distribution functions
    fdis_inv    : returns inverse (quantile) at x of the F(a,b) distribution
    fdis_pdf    : returns pdf at x of the F(a,b) distribution
    fdis_prb    : computes f-distribution probabilities
    fdis_rnd    : returns random draws from the F(a,b) distribution
    gamm_cdf    : returns the cdf at x of the gamma(a) distribution
    gamm_d      : demo of gamma distribution functions
    gamm_inv    : returns the inverse of the cdf at p of the gamma(a) distribution
    gamm_pdf    : returns the pdf at x of the gamma(a) distribution
    gamm_rnd    : a matrix of random draws from the gamma distribution
    hypg_cdf    : hypergeometric cdf function
    hypg_d      : demo of Hypergeometric distribution functions
    hypg_inv    : hypergeometric inverse (quantile) function
    hypg_pdf    : hypergeometric pdf function
    hypg_rnd    : hypergeometric random draws
    is_scalar   : determines if argument x is scalar
    logn_cdf    : cdf of the lognormal distribution
    logn_d      : demo of log-normal distribution functions
    logn_inv    : inverse cdf (quantile) of the lognormal distribution
    logn_pdf    : pdf of the lognormal distribution
    logn_rnd    : random draws from the lognormal distribution
    logt_cdf    : cdf of the logistic distribution
    logt_d      : demo of logistic distribution functions
    logt_inv    : inv of the logistic distribution
    logt_pdf    : pdf of the logistic distribution at x
    logt_rnd    : random draws from the logistic distribution
    norm_cdf    : computes the cumulative normal distribution
    norm_crnd   : random numbers from a contaminated normal distribution
    norm_inv    : computes the quantile (inverse of the CDF)
    norm_pdf    : computes the normal probability density function
    norm_prb    : computes normal probability given
    norm_prbd   : demo of norm_prb function
    norm_rnd    : random multivariate random vector based on
    normc_d     : demo of contaminated normal random numbers
    normlt_d    : demo of left-truncated normal random numbers
    normlt_inv  : compute inverse of cdf for left-truncated normal
    normlt_rnd  : compute random draws from a left-truncated normal
    normrt_d    : demo of right-truncated normal random numbers
    normrt_inv  : compute inverse of cdf for right-truncated normal
    normrt_rnd  : compute random draws from a right-truncated normal
    normt_d     : demo of truncated normal random numbers
    normt_inv   : compute inverse of cdf for truncated normal
    normt_rnd   : random draws from a normal truncated to (left,right) interval
    pois_cdf    : computes the cumulative distribution function at x
    pois_d      : demo of poisson distribution functions
    pois_inv    : computes the quantile (inverse of the cdf) at x
    pois_pdf    : computes the probability density function at x
    pois_rnd    : generate random draws from the possion distribution
    quantile    : compute empirical quantile (percentile).
    stdn_cdf    : computes the standard normal cumulative
    stdn_d      : demo of standard normal distribution functions
    stdn_inv    : computes the quantile (inverse of the CDF)
    stdn_pdf    : computes the standard normal probability density
    tdis_cdf    : returns cdf at x of the t(n) distribution
    tdis_d      : demo of Student t-distribution functions
    tdis_inv    : returns the inverse (quantile) at x of the t(n) distribution
    tdis_pdf    : returns the pdf at x of the t(n) distribution
    tdis_prb    : calculates t-probabilities for elements in x-vector
    tdis_rnd    : returns random draws from the t(n) distribution
    trunc_d     : demo of truncated normal draws
    unif_d      : demo of uniform distribution functions
    unif_rnd    : returns a uniform random number between a,b
    wish_d      : demo of random draws from a Wishart distribution
    wish_rnd    : generate random wishart matrix