-------- 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)
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
skewtdis_cdf  : returns the cdf at x of Hansen's (1994) 'skewed t' distribution
skewtdis_inv  : returns the inverse cdf at u of Hansen's (1994) 'skewed t' distribution
skewtdis_ll   : returns the log-likelihood at x of Hansen's (1994) 'skewed t' distribution
skewtdis_pdf  : returns the pdf at x of Hansen's (1994) 'skewed t' distribution
skewtdis_rnd  : returns random draws from Hansen's (1994) 'skewed t' distribution
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