ar_g          - Gibbs sampling Bayesian AR model
bma_g         - Bayesian model averaging
egarchm       - EGARCH(p,q)-in-Mean regression model
hmarkov_em    - Hamilton's markov switching model
hwhite        - White's hetero consistent estimates
lad           - least-absolute deviation estimates
lmtest        - LM test
logit         - logit regression
nwest         - Newey-West hetero/serial consistent estimates
ols           - ordinary least-squares
ols_g         - Gibbs sampling Bayesian regression model
olsar1        - max like for ols with AR(1) errors
olsc          - Cochrane-Orcutt ols with AR(1) errors
olst          - regression with t-distributed errors
probit        - probit regression
probit_g      - Gibbs sampling Bayesian probit regression
ridge         - ridge regression
robust        - robust regression
rtrace        - ridge estimates vs parameters (plot) 
sur           - seemingly unrelated regression
theil         - Theil-Goldberger mixed estimation
thsls         - three-stage least-squares regression
tobit         - tobit regression
tobit_g       - Gibbs sampling Bayesian tobit regression
tsls          - two-stage least-squares regression
waldf         - Wald F-test 

 
ar_gd         - demos ar_g
bma_gd        - demos bma_g
demo_all      - demos all regression functions
egarchm_d     - demo of egarch(p,q)-in-mean regression
hmarkov_emd   - demo of hamiltons markov model
hmarkov_emd2  - demo of hamiltons markov model
hwhite_d      - H. White's hetero consistent estimates demo
lad_d         - demonstrates lad regression
lmtest_d      - demo of LM test
logit_d       - demonstrates logit regression
neweyw_d      - demonstrates Newey-West regression
ols_d         - demonstrates ols regression
ols_d2        - Monte Carlo demo using ols regression
ols_gd        - demonstrates ols_g regression
olsar1_d      - demonstrates olsar1 regression
olsc_d        - Cochrane-Orcutt demo program
olst_d        - olst demo program
probit_d      - probit regression demo
probit_gd     - demo for probit_g
ridge_d       - ridge regression demo
robust_d      - robust regression demo
sur_d         - sur regression demo using grun.data
mixed_d       - demonstrates Theil mixed estimation
thsls_d       - three-stage least-squares demo
tobit_d       - tobit regression demo
tobit_d2      - tobit right-censoring regression demo
tobit_gd      - demo for tobit_g
tobit_gd2     - right-censoring tobit_g demo
tsls_d        - two-stage least-squares demo
waldf_d       - Wald F-test 

 
ar1_like       - used by olsar1 (likelihood) 
bmapost        - log posterior used by bma_g
hmarkov_llf    - likelihood used by hmarkov_em
hmarkov_llf2   - likelihood used by hmarkov_em
egarchm_likm   - likelihood used by egarchm
find_new       - used by bma_g
grun.data      - Grunfeld's data for sur_d
grun.doc       - Grunfeld's data documentation
hessian        - determines hessian for tobit
gradt          - determines gradient for tobit
stepsize       - used by tobit
lo_like        - used by logit  (likelihood)
mcov           - used by hwhite 
olse           - ols routine used by sur
pr_like        - used by probit (likelihood)
plt_eqs        - plots multi-eqs regression output (thsls,sur)
plt_reg        - plots any regression structure output 
prt_eqs        - prints multi-eqs regression output (thsls,sur)
prt_gibbs      - prints Gibbs sampling model results
prt_reg        - prints any regression structure output 
sample         - used by bma_g
to_like        - used by tobit  (likelihood)
chis_prb       - computes chi-squared probabilities 
fdis_prb       - computes F-statistic probabilities 
norm_cdf       - used by probit, pr_like
norm_pdf       - used by prt_reg, probit
stdn_cdf       - used by norm_cdf
stdn_pdf       - used by norm_pdf
tdis_prb       - computes t-statistic probabilities