AH_TOBC_W_OTH           AH_TOBC_W_OTH
AH_TOBU_M_ASM           AH_TOBU_M_ASM
AH_TOBU_M_SNN           AH_TOBU_M_SNN
AH_TOBU_W_SNM           AH_TOBU_W_SNM
AH_TOBU_W_SNN           AH_TOBU_W_SNN
AN_ANEM_W_ANY           AN_ANEM_W_ANY IRdata Percentage of women aged
                        15-49 classified as having any anemia
AN_NUTS_W_OVW           AN_NUTS_W_OVW Women who are overweight
                        according to BMI (25.0-29.9) nt_wm_ovwt in
                        github IR
AN_NUTS_W_THN           AN_NUTS_W_THN IRdata Women who are thin
                        according to BMI (<18.5)
CH_ARIS_C_ADV           CH_ARIS_C_ADV Children with ARI for whom advice
                        or treatment was sought; ch_ari_care in github
                        KR
CH_DIAT_C_ABI           CH_DIAT_C_ABI
CH_DIAT_C_ADV           CH_DIAT_C_ADV Treatment of diarrhea: Advice or
                        treatment was sought; ch_diar_care in github KR
CH_DIAT_C_AMO           CH_DIAT_C_AMO
CH_DIAT_C_NOT           CH_DIAT_C_NOT
CH_DIAT_C_ORS           CH_DIAT_C_ORS
CH_DIAT_C_ORT           CH_DIAT_C_ORT
CH_DIAT_C_OSI           CH_DIAT_C_OSI
CH_DIAT_C_RHF           CH_DIAT_C_RHF
CH_DIFP_C_FAL           CH_DIFP_C_FAL
CH_FEVR_C_FEV           CH_FEVR_C_FEV
CH_FEVT_C_ADV           CH_FEVT_C_ADV Children with fever for whom
                        advice or treatment was sought ch_fev_care in
                        github ml_fev_care should produce the same data
                        KR
CH_SZWT_C_L25           CH_SZWT_C_L25
CH_VACC_C_BAS           CH_VACC_C_BAS KRdata Children with all 8 basic
                        vaccinations (age 12-23)
CH_VACC_C_BCG           CH_VACC_C_BCG Percentage of children 12-23
                        months who had received BCG vaccination
                        ms_afm_15 in github KR
CH_VACC_C_DP1           CH_VACC_C_DP1 KRdata Pentavalent 1st dose
                        vaccination Percentage of children (age 12-23)
                        with 1st dose of Pentavalent vaccine
CH_VACC_C_DP3           CH_VACC_C_DP3 KRdata Pentavalent 3rd dose
                        vaccination Percentage of children (age 12-23)
                        with 3rd dose of Pentavalent vaccine
CH_VACC_C_MSL           CH_VACC_C_MSL KRdata Measles vaccination
                        received Percentage of children (age 12-23)
CH_VACC_C_NON           CH_VACC_C_NON KRdata Children with no
                        vaccinations (age 12-23)
CH_VACC_C_PN3           CH_VACC_C_PN3 KRdata Pneumococcal 3rd dose
                        vaccination Percentage of children (age 12-23)
CH_VACC_C_RT1           CH_VACC_C_RT1 KRdata Rotavirus 1 vaccination
                        received
CH_VACS_C_PN3           CH_VACS_C_PN3 KRdata Pneumococcal 3 vaccination
                        received
CM_ECMR_C_IMF           CM_ECMR_C_IMF imr 5 years prior to survey.
CM_ECMR_C_IMR           CM_ECMR_C_IMR imr 10 years prior to survey.
CM_ECMR_C_NNF           CM_ECMR_C_NNF NMR five years prior to survey.
CM_ECMR_C_NNR           CM_ECMR_C_NNR BRdata Neonatal mortality rate
CM_ECMR_C_U5F           CM_ECMR_C_U5F u5mr 5 years prior to survey.
CM_ECMR_C_U5M           CM_ECMR_C_U5M u5mr 10 years prior to survey.
CN_ANMC_C_ANY           CN_ANMC_C_ANY PRdata Children with any anemia
                        Children under five with any anemia
CN_BRFI_C_EVR           CN_BRFI_C_EVR
CN_BRFS_C_EXB           CN_BRFS_C_EXB KRdata Children exclusively
                        breastfed Prevalence of exclusive breastfeeding
                        of children under six months of age
CN_IYCF_C_4FA           CN_IYCF_C_4FA Percentage of children age 6-23
                        months fed five or more food groups. The food
                        groups are a. breastmilk b. infant formula,
                        milk other than breast milk, cheese or yogurt
                        or other milk products; c. foods made from
                        grains, roots, and tubers, including porridge
                        and fortified baby food from grains; d. vitamin
                        A-rich fruits and vegetables (and red palm
                        oil); e. other fruits and vegetables; f. eggs;
                        g. meat, poultry, fish, and shellfish (and
                        organ meats); h. legumes and nuts. nt_mdd in
                        github KR
CN_NUTS_C_HA2           CN_NUTS_C_HA2
CN_NUTS_C_HA3           CN_NUTS_C_HA3
CN_NUTS_C_WA2           CN_NUTS_C_WA2
CN_NUTS_C_WA3           CN_NUTS_C_WA3
CN_NUTS_C_WAP           CN_NUTS_C_WAP
CN_NUTS_C_WH2           CN_NUTS_C_WH2
CN_NUTS_C_WH3           CN_NUTS_C_WH3
CN_NUTS_C_WHP           CN_NUTS_C_WHP
CO_INUS_W_EVU           CO_INUS_W_EVU
CO_INUS_W_U12           CO_INUS_W_U12
CO_MOBB_W_BNK           CO_MOBB_W_BNK
CO_MOBB_W_MBF           CO_MOBB_W_MBF
CO_MOBB_W_MOB           CO_MOBB_W_MOB
CP_BREG_C_CRT           CP_BREG_C_CRT
CP_BREG_C_NCT           CP_BREG_C_NCT
CP_BREG_C_REG           CP_BREG_C_REG
DV_AFSV_W_A10           DV_AFSV_W_A10
DV_AFSV_W_A12           DV_AFSV_W_A12
DV_EXPV_W_12M           DV_EXPV_W_12M Percentage of women who have
                        experienced physical violence in the past 12
                        months often or sometimes dv_phy_12m in github
                        IR
DV_EXSV_W_12M           DV_EXSV_W_12M Percentage of women who ever
                        experienced sexual violence dv_sex_12m in
                        github IR
DV_EXSV_W_EVR           DV_EXSV_W_EVR Percentage of women who ever
                        experienced sexual violence dv_sex in github IR
DV_PCPV_W_CBF           DV_PCPV_W_CBF
DV_PCPV_W_CHD           DV_PCPV_W_CHD
DV_PCPV_W_EMP           DV_PCPV_W_EMP
DV_PCPV_W_FLW           DV_PCPV_W_FLW
DV_PCPV_W_OLW           DV_PCPV_W_OLW
DV_STPS_W_BFR           DV_STPS_W_BFR
DV_VPRG_W_VPG           DV_VPRG_W_VPG
ED_EDUC_W_SEH           ED_EDUC_W_SEH IRdata Percentage of women with
                        secondary or higher education
ED_LITR_W_LIT           ED_LITR_W_LIT
ED_MDIA_W_3MD           ED_MDIA_W_3MD
ED_MDIA_W_N3M           ED_MDIA_W_N3M
ED_MDIA_W_NWS           ED_MDIA_W_NWS
ED_MDIA_W_RDO           ED_MDIA_W_RDO
ED_MDIA_W_TLV           ED_MDIA_W_TLV
EM_EMPM_W_EMP           EM_EMPM_W_EMP
FG_KFCC_W_HFC           FG_KFCC_W_HFC IRdata Percentage of women who
                        have ever heard of female circumcision
FG_PFCC_W_WCC           FG_PFCC_W_WCC IRdata Percentage of women
                        circumcised (women who experienced female
                        genital cutting (FGM))
FP_CUSA_W_ANY           FP_CUSA_W_ANY
FP_CUSA_W_EMC           FP_CUSA_W_EMC
FP_CUSA_W_FCN           FP_CUSA_W_FCN
FP_CUSA_W_FST           FP_CUSA_W_FST
FP_CUSA_W_IMP           FP_CUSA_W_IMP
FP_CUSA_W_INJ           FP_CUSA_W_INJ
FP_CUSA_W_IUD           FP_CUSA_W_IUD
FP_CUSA_W_MCN           FP_CUSA_W_MCN
FP_CUSA_W_MOD           FP_CUSA_W_MOD IRdata Modern contraceptive
                        prevalence rate (women currently using any
                        modern method of contraception)
FP_CUSA_W_MST           FP_CUSA_W_MST
FP_CUSA_W_PIL           FP_CUSA_W_PIL
FP_CUSA_W_STD           FP_CUSA_W_STD
FP_CUSA_W_TRA           FP_CUSA_W_TRA
FP_CUSA_W_WTH           FP_CUSA_W_WTH
FP_CUSM_W_MOD           FP_CUSM_W_MOD IRdata Modern contraceptive
                        prevalence rate (Married women currently using
                        any modern method of contraception)
FP_EFPM_M_NWS           FP_EFPM_M_NWS
FP_EFPM_M_TLV           FP_EFPM_M_TLV
FP_EFPM_W_NWS           FP_EFPM_W_NWS
FP_EFPM_W_RDO           FP_EFPM_W_RDO
FP_EFPM_W_TLV           FP_EFPM_W_TLV
FP_EVUM_W_MOD           FP_EVUM_W_MOD
FP_KMTA_W_ANY           FP_KMTA_W_ANY
FP_KMTA_W_EMC           FP_KMTA_W_EMC
FP_KMTA_W_FCN           FP_KMTA_W_FCN
FP_KMTA_W_FST           FP_KMTA_W_FST
FP_KMTA_W_IMP           FP_KMTA_W_IMP
FP_KMTA_W_INJ           FP_KMTA_W_INJ
FP_KMTA_W_IUD           FP_KMTA_W_IUD
FP_KMTA_W_MST           FP_KMTA_W_MST
FP_KMTA_W_OMD           FP_KMTA_W_OMD
FP_KMTA_W_PIL           FP_KMTA_W_PIL
FP_KMTA_W_STD           FP_KMTA_W_STD
FP_KMTA_W_TRA           FP_KMTA_W_TRA
FP_KMTA_W_WTH           FP_KMTA_W_WTH
FP_NADA_W_UNT           FP_NADA_W_UNT IRdata Women with an unmet need
                        for family planning for spacing and limiting
FP_NADM_W_PDM           FP_NADA_W_UNT IRdata Women with an unmet need
                        for family planning for spacing and limiting
FP_NADM_W_UNT           FP_NADM_W_UNT #unmet_family IRdata Married
                        women with an unmet need for family planning
                        for spacing and limiting, line 17 manually
                        added by Qianyu
FP_NDYA_W_PDM           FP_NADA_W_UNT IRdata Women with an unmet need
                        for family planning for spacing and limiting
HA_AFSY_M_A15           HA_AFSY_M_A15
HA_AFSY_M_A18           HA_AFSY_M_A18
HA_AFSY_W_A18           HA_AFSY_W_A18
HA_ANSS_M_CND           HA_ANSS_M_CND
HA_ANSS_W_CND           HA_ANSS_W_CND
HA_ANSS_W_RSX           HA_ANSS_W_RSX
HA_CATH_W_ATN           HA_CATH_W_ATN
HA_CATH_W_NRS           HA_CATH_W_NRS
HA_HIVP_B_HIV           HA_HIVP_B_HIV hv_hiv_pos "HIV prevalence among
                        general population"
HA_HRSX_W_CND           HA_HRSX_W_CND
HA_HVST_M_HRD           HA_HVST_M_HRD
HA_HVST_M_USD           HA_HVST_M_USD
HA_HVTY_M_TRR           HA_HVTY_M_TRR
HA_HVTY_W_TRR           HA_HVTY_W_TRR
HA_KAID_W_HRD           HA_KAID_W_HRD Percentage of women who have
                        heard of HIV or AIDS hk_ever_heard in github IR
HA_STIS_M_DIS           HA_STIS_M_DIS
HA_STIS_M_SOR           HA_STIS_M_SOR
HA_STIS_W_STI           HA_STIS_W_STI Percentage of women reporting a
                        sexually transmitted infection in the 12 months
                        preceding the survey among women who ever had
                        sexual intercourse hk_sti in github IR
HC_AGEG_P_ADL           HC_AGEG_P_ADL
HC_ELEC_H_ELC           HC_ELEC_H_ELC Percentage of households with
                        electricity ph_electric in github HR
HC_FLRM_H_CER           HC_FLRM_H_CER Percentage of households with
                        ceramic tile floors ph_floor in github HR
HC_HEFF_H_RDO           HC_HEFF_H_RDO Percentage of households
                        possessing a radio ph_radio in github HR
HC_WIXQ_P_12Q           HC_WIXQ_P_12Q PRdata Population in the lowest
                        and second wealth quintile
HC_WIXQ_P_2ND           HC_WIXQ_P_2ND PRdata Population in the second
                        wealth quintile
HC_WIXQ_P_LOW           HC_WIXQ_P_LOW PRdata Population in the lowest
                        wealth quintile
MA_CWIV_W_CWV           MA_CWIV_W_CWV
MA_MBAG_W_B15           MA_MBAG_W_B15 Women first married by exact age
                        15 ms_afm_15 in github IR
MA_MBAG_W_B18           ##' MA_MBAG_W_B18 Percentage of women first
                        married by exact age 18 ms_afm_18 in github IR
MA_MBAY_W_B15           MA_MBAY_W_B15 Young women age 20-24 first
                        married by exact age 15 ms_afm_15 in github IR
MA_MBAY_W_B18           MA_MBAY_W_B18 Percentage of Young women age
                        20-24 first married by exact age 18 ms_afm_18
                        in github IR
MA_MSTA_W_NMA           MA_MSTA_W_NMA
ML_NETC_C_ITN           ML_NETC_C_ITN PRdata Percentage of children
                        under age five who slept under an insecticide
                        treated net (ITN) the night before the survey
ML_NETP_H_IT2           ML_NETP_H_IT2 HRdata Households with access to
                        an insecticide-treated mosquito net (ITN)
ML_NETU_P_ITN           ML_NETU_P_ITN PRdata Percentage of the de facto
                        household population who slept under an
                        insecticide treated net the night before the
                        survey
ML_PMAL_C_RDT           ML_PMAL_C_RDT PRdata Malaria prevalence
                        according to RDT
PR_DESL_W_WNM           PR_DESL_W_WNM
RH_ANCN_W_N01           AH_TOBC_W_OTH
RH_ANCN_W_N4F           RH_ANCN_W_N4F IRdata Antenatal visits for
                        pregnancy: 4+ visits FIVE year
RH_ANCN_W_N4P           RH_ANCN_W_N4P IRdata Antenatal visits for
                        pregnancy: 4+ visits TWO year
RH_ANCN_W_NON           RH_ANCN_W_N4P IRdata Antenatal visits for
                        pregnancy: no visits TWO year
RH_DELA_C_SKF           RH_DELA_C_SKF BRdata Assistance during delivery
                        from a skilled provider
RH_DELA_C_SKP           RH_DELA_C_SKP BRdata Assistance during delivery
                        from a skilled provider
RH_DELP_C_DHF           RH_DELP_C_DHF
RH_DELP_C_DHT           RH_DELP_C_DHT
RH_DELP_C_HOM           RH_DELP_C_HOM
RH_DELP_C_HOT           RH_DELP_C_HOT
RH_DELP_C_PRT           RH_DELP_C_PRT
RH_DELP_C_PRV           RH_DELP_C_PRV
RH_DELP_C_PUB           RH_DELP_C_PUB
RH_DELP_C_PUT           RH_DELP_C_PUT
RH_PAHC_W_DIS           RH_PAHC_W_DIS IRdata Problems in accessing
                        health care: Distance to health facility
RH_PAHC_W_MON           RH_PAHC_W_MON IRdata Problems in accessing
                        health care: Getting money for treatment
RH_PAHC_W_PRM           RH_PAHC_W_PRM IRdata Problems in accessing
                        health care: Getting permission to go for
                        treatment
RH_PCCT_C_DY2           RH_PCCT_C_DY2 Newborn's first postnatal
                        checkup: 1-2 days RH_PCCT_C_DY2 in github IR
RH_PCMT_W_DY2           RH_PCMT_W_DY2 Mother's first postnatal checkup:
                        1-2 days IR
RH_PCMT_W_NON           RH_PCMT_W_NON No Mother's postnatal checkup in
                        42 days IR
WE_AWBT_M_ARG           WE_AWBT_M_ARG
WE_AWBT_M_BFD           WE_AWBT_M_BFD
WE_AWBT_M_OUT           WE_AWBT_M_OUT
WE_AWBT_M_REF           WE_AWBT_M_REF
WE_AWBT_W_ARG           WE_AWBT_W_ARG
WE_AWBT_W_BFD           WE_AWBT_W_BFD
WE_AWBT_W_NEG           WE_AWBT_W_NEG
WE_AWBT_W_OUT           WE_AWBT_W_OUT
WE_AWBT_W_REF           WE_AWBT_W_REF
WS_SRCE_H_USG           WS_SRCE_H_USG Percentage of households whose
                        main source of drinking water is an unprotected
                        spring ph_wtr_source in github "unprotected
                        spring" = 42, HR
WS_SRCE_P_BAS           WS_SRCE_P_BAS PRdata Population using a basic
                        water source
WS_TLET_H_IMP           WS_TLET_H_IMP PRdata Percentage of households
                        using an improved sanitation facility
WS_TLET_P_BAS           WS_TLET_P_BAS PRdata Population with access to
                        a basic sanitation service
WS_WTRT_P_BLC           WS_WTRT_P_BLC
WS_WTRT_P_BOL           WS_WTRT_P_BOL
WS_WTRT_P_SOL           WS_WTRT_P_SOL
WS_WTRT_P_STN           WS_WTRT_P_STN
ZambiaAdm1              Admin 1 Polygon Map for Zambia.
ZambiaAdm2              Admin 2 Polygon Map for Zambia.
ZambiaPopWomen          Population estimates for Women of age 15 to 49
                        in Zambia in 2018.
addNewIndicator         Create new row to add in indicatorList.
addUpper                Attach upper-level admin names to lower-level
                        polygons
adminInfo               Get admin information
aggPopulation           Get population information
aggSurveyWeight         Get survey weight by admin levels
clusterInfo             Get cluster information
clusterModel            Calculate cluster model estimates using beta
                        binomial model
clusterModel_u5mr       Calculate cluster model estimates using beta
                        binomial model for U5MR
datainfo                Summarize Sample and Event Information by
                        Administrative Level
directEST               Calculate direct estimates
directEST_u5mr          Helper function for the U5MR direct estimation
directEST_varfix        Calculate direct estimates
exceedPlot              Plot exceedance probability of model results
fhModel                 Calculate smoothed direct estimates
getCovariate            Extract Covariate Data from A list of Rasters
getDHSdata              Download DHS survey data
getDHSgeo               Download DHS geo data
getDHSindicator         Process DHS data
getUR                   Function to threshold population raster to
                        obtain urban/rural fractions by Admin1 and
                        Admin2 areas
get_api_table           Function to obtain subnational estimates from
                        DHS API
get_geoBoundaries       Download geoBoundaries Shapefile as sf Object
indicatorList           Table of supported DHS indicators.
intervalPlot            Get scatter plot for any two model results
match_all_result        Indicator matching table.
prevMap                 static prevalence map for any subnational level
prevMap.web             leaflet (interactive) prevalence map for any
                        subnational level
rankPlot                Get ranking plot of model results
ridgeprevPlot           ridge plot for prevalence
scatterPlot             Get scatter plot for any two model results
scatterPlot.web         web-based scatter plot
